“The Latin American and Caribbean Consortium of Engineering Institutions, LACCEI”, is a non-profit organization consisting of institutions that offer academic programs in Engineering and Technology with the goal of collaborating with other LACCEI partners. The word “institution” includes universities, colleges and schools.
Propuesta de Uso del Debate en Proyectos de Investigación en Energía Sostenible
En el presente documento se estudia el impacto de la metodología de debate dentro del proceso de aprendizaje de estudiantes universitarios para la adquisición de nuevos conocimientos en temas de innovación y energía sostenible para estudiantes de maestría en ingeniería eléctrica en San Andrés Isla. Para ello se realizan grupos a los cuales se les asigna una temática relacionada con temas energéticos de actualidad, posteriormente se desarrollan sesiones de debate siguiendo la metodología propuesta por la Universidad de Oxford y finalmente los estudiantes califican el desempeño de cada grupo en los 4 ejes principales: estilo, contenido, estrategia y pensamiento crítico. Al final del curso los estudiantes responden un cuestionario evaluando sus competencias en los ejes anteriormente mencionados y retroalimentando condiciones de mejora.
Analyzing the ASME BPV Code of Construction Professional Engineer Accreditation Requirements and their impact in Central, South America and Mexico
Central, South America and Mexico have about 36 ASME Section VIII U2 certificate holders where their vast majority of engineering degree programmes are not recognized by international engineering accreditation organizations. Additionally, in most Latin American countries the organizations that accredit engineering degree programmes depend on their local Ministry of Education which is part of the government, and thus need to create an independent committee to adhere to the Washington Accord or ENAEE current practices, for a region where it is not required nor supported by the local government and engineering education bodies. Current international code practices for Boiler, Pressure Vessel and Nuclear Construction are moving towards mandating the presence of Certifying Engineers that is in responsible charge for both equipment User Design Specifications (UDS) and Manufacturer’s Design Reports (MDR), in order to guarantee that the design and construction of the pressure-retaining component adhere to the ASME Boiler and Pressure Vessel Code design margin philosophies. However, the lack of international engineering degree programme accreditation within the vast majority of countries located in Central and South America is a barrier that cannot be easily surpassed without the engineers having to undergo a thorough revalidation process within the jurisdiction of a foreign country that has accredited their engineering degree programmes to the Washington Accord or the EUR-ACE seal, in order to enable the engineer to join an international engineering accord such as Engineers Europe, IPEA, APEC or the US and Canada Registered Professional Engineer programme, a mandatory requirement to comply with the required Certifying Engineer qualifications. Therefore, pressure vessels and components construction to ASME Section VIII, Divisions 1 to 3 and ASME Section III in Central, South America and Mexico will go through design, construction and installation. If the application requires a Certifying Engineer to be in responsible charge, subcontracting costs of at least two Certifying Engineers need to be considered to certify the vessel UDS and MDR. This requires contacting and contracting professional engineers outside of their own jurisdictions for vessels that would be specified, constructed, and put in service inside their own jurisdiction. This paper presents the recently approved ASME Section VIII, Divisions 1 and 2 CodeCase 3036 that the authors developed with substantial help from manufacturers, authorized inspection agencies and other interested parties within Central, South America and Mexico to attempt to close the gap in these jurisdictions while international engineering degree programme accreditation is achieved in the region, although not without placing substantial restrictions to locally-registered engineers.
Scattering by nanoantenna in complex medium.
Cylindrical nanoparticles immersed in an absorbing environment were studied by evaluating the solutions of Maxwell's equations in a cylindrical symmetry with dispersive materials interacting with electromagnetic radiation. Analytical solutions are developed for the efficiencies, dispersion (Qs), for different complex refractive indices of materials found in the literature. The scattering is derived from the near field solutions on the surface of the studied nanoparticle. The results show that, although the absorbing medium significantly reduces the scattering efficiency, we also studied the intensity of the stray electromagnetic field at different wavelengths and with different sizes of nanoantennas, finely studying the phase profile in terms of the scattering angle
Clasificación de Frijol Seco. Análisis desde la Minería de Datos
La clasificación de las semillas es un factor fundamental en todos los procesos agrícolas, Maxime si se desea obtener la mayor rentabilidad posible de los productos una vez puedan ser cosechadas y evitar engorrosos procesos manuales. En este trabajo investigativo, se parte de un análisis desde la minería de datos, con el fin de establecer las variables independientes más influyentes en la clasificación de una semilla, en este caso frijol seco. Entre las variables independientes objetos de análisis se encuentran: Área, perímetro, mayor longitud de eje, menor longitud de eje, aspecto, excentricidad, área convexa, diámetro equivalente, extensión, solidez, redondez, cromaticidad, factor de forma 1, factor de forma 2, factor de forma 3, factor de forma 4. Igualmente se establece una variable dependiente denominada clase, la cual consta de siete estados: Barbunya, Bombay, Cali, Dermason, Horoz, Seker y Sira. En esta investigación se emplea el Algoritmo J48 de la plataforma de aprendizaje automático y minería de datos denominada Weka, con el fin de identificar la clase a la cual puede pertenecer una semilla y las variables independientes más influyentes en este proceso. Como resultado, se encuentra que con una efectividad superior al 93% , las variables más influyentes son: Permitero, mayor longitud de eje, menor longitud de eje.
Comparative analysis of Green Marketing Strategies at the International level in the Period 2018 – 2022
Abstract-The environmental impacts generated by the tourism activity is a very worrying reality, has caused the development of sustainable objectives worldwide, through which the hotel sector has transformed its traditional strategies to meet these objectives. Therefore, the present research aimed to compare some of the green strategies found at the international level, from 2018 to 2022. From the analysis of the document issued by Hernandez et al., (2020) "Resources and capabilities in the adoption of a green marketing strategy: evidence in tourism hotels" the strategies were identified based on the structure of the 4Ps of marketing with a green approach, at the same time strategic examples of international hotels that put sustainability into practice were taken. An analysis was also made pointing out their strengths and weaknesses, finding that some of these apply much more complex technologies that make implementation difficult in some sectors and to hotels of lower classification. Likewise, the consequences of environmental pollution in air, water and soil that also affect human health were developed, and a proposal of strategies was elaborated taking as an example the strategies found at international level, especially for SMEs. It is concluded that foreign countries have been more committed to sustainable implementation since much earlier in the hotel industry, in recent years there has been a greater commitment to change, so it is necessary to continue contributing to the green strategic measures that minimize environmental impacts.
Service model based on lean tools to improve order fulfillment rate in a SMEs in the commercial sector
The commercial sector has maintained a uniform growth during the last years. However, there are problems within logistics that harm customer satisfaction, companies aim to deliver orders on time and avoid large losses. That said, in the present research, the problem that generates the greatest economic loss for the company is the high percentage of unfulfilled orders. Therefore, it is proposed the implementation of a model based on the Lean methodology, through the application of 5S, ABC and Kanban with the objective of reducing the non-fulfillment of orders. The research focuses on a warehouse where the root causes of the problem are identified and quantified, to later attack them through Lean tools. Finally, the proposed model achieves a reduction of 38.8%, 12.32% and 47.23% in picking times, system registration and total simulation time, respectively, and thus improves customer delivery compliance to reach the 5% objective.
Impacto productivo de la metodología 5s en las empresas del sector comercio en Latinoamérica: una revisión sistemática de la literatura
El presente trabajo de investigación se enfoca en el sector de Comercio, el cual es parte del sector terciario y unos de los más importantes para la economía de nuestro país. Por ello, la presente investigación tiene como objetivo describir la productividad de la metodología 5s en las empresas del sector comercio en Latinoamérica de los últimos 10 años. La búsqueda de artículos y/o revistas se realizó en bases científicas: Dialnet, Redalyc, Scorpus, Jstor, Scielo. Los criterios de elegibilidad fueron: metodología 5s, sector de comercio, gestión de calidad, lean manufacturing. Asimismo, se emplea el criterio de inclusión y exclusión, entre ellos: Periodos de publicación, país de publicación, método de estudio, entre otros con el método de investigación Prisma. Estos estudios estuvieron conformados por 40 publicaciones, entre artículos y revistas. El análisis realizado permitió demostrar métodos que son utilizadas en distintas áreas del sector comercial tales como metodología 5s, lean manufacturing, puesto que en diveros artículos y revistas recopiladas, mencionan dichos métodos como un complemento efectivo en las empresas y controla la capacidad de los recursos. Se concluye que las empresas utilizan la metodología 5s, además de Lean Manufacturing que es parte de la Gestión de Calidad para maximizar la eficiencia y eficiencia en lugares de trabajo y sirva como guía de implementación para áreas críticas de las diversas empresas. Por último, se discute los puntos más significativos de la metodología 5S en el desarrollo del personal y sus relaciones con los demás, como también en el foment de la disciplina, el autocontrol y el aumento de la eficiencia en el trabajo.
Impacto en el almacén a partir de la Metodología 5S en empresas dedicadas al sector construcción en Latinoamérica: una revisión sistemática de la literatura
El presente trabajo se enfoca en el sector construcción en Latinoamérica sobre la gestión de almacenes, y como esta influirá en forma directa en los costos y actividades dentro de la organización. Además, son muchas empresas que buscan alcanzar el orden perfecto en este proceso y una de las principales herramientas que se implementa es la metodología 5S, puesto que ayuda a mantener el orden en el almacén, facilita la búsqueda de materiales y garantiza la seguridad de los empleados. Por ello, el objetivo de esta investigación es describir el impacto en el almacén a partir de la metodología 5S en empresas dedicadas al sector construcción en Latinoamérica, donde se realiza una revisión sistemática de la literatura científica en el periodo 2011-2021. La búsqueda de artículos científicos se realizó en bases de datos confiables tales como: Redalyc, Google Académico, Scielo, Dialnet, ScienceDirect, Repositorio Dspace, Repositorio Institucionales, Proquest, y Refseek. Para la elegibilidad de las publicaciones se fue descartando investigaciones según criterios de exclusión e inclusión considerando el contexto geográfico, año de antigüedad, etc. Adicionalmente, al realizar la discusión se consideró un total de 40 artículos científicos, donde se destacan las características esenciales de diversos autores al implementar el método 5S. Por ende, los resultados demuestran que el impacto de la aplicación 5S ayuda a mejorar la cultura organizacional, mantener espacios limpios y ordenados, reducir los tiempos en la búsqueda de materiales y mejorar la calidad de productos o servicios. Finalmente, se discute los aspectos más relevantes de la metodología 5S, en el incremento de la productividad, la mejora de la calidad y adecuado clima laboral, consiguiendo mejorar la competitividad en las empresas.
Increased On-Time In-Full orders rate in a mass-consumption warehouse by applying Lean Warehouse tools: A case Study
The FMCG sector is developing globally and has maintained exponential growth in recent years. However, this growth is hampered by various challenges and issues affecting customer satisfaction, leading to a significant revenue loss for companies. In this area, companies in the sector aim to reduce the rate of orders not delivered on time and complete to increase customer satisfaction and minimize lost sales. In this context, the problem that causes the most significant economic impact on the company under study is the low rate of the OTIF indicator. Implementing a model based on the Lean Warehouse methodology is proposed to face this challenge by applying Slotting, Standardized Work, and Slotting. The study focused on the standard products (Packaged Jelly), analyzed, and diagnosed the delivery process, identified and quantified the root cause of the problem, and subsequently provided tools to attack them. Ultimately, the proposed model successfully increased the OTIF indicator by 28.94%. Key results include a 20.22% increase in the inventory accuracy indicator, a 41.53% decrease in the time to reach the product location, and a 12.02% increase in operator efficiency in the picking process. In this context, a precedent is set to contribute to optimizing the processes of the company's division and maximizing customer satisfaction.
Increased machine efficiency through a production model integrating Lean tools and the ADKAR model in an SME of the metalworking industry
Each country's metalworking industry has much economic development, providing companies with jobs and new products. However, companies have different problems in improving various aspects such as production, quality, and delivery times, among others. Therefore, to solve these problems, this article proposes a model based on implementing the Lean philosophy using different tools such as 5S, TPM, SLP, and SMED to increase the overall equipment efficiency (OEE). In addition, work was done on the mindset of workers to sensitize them through the ADKAR Model. A pilot test was carried out to validate the improvements, which gave us good results in the qualification of the audits carried out. In addition, a simulation was carried out in which the Arena software was implemented, and the result was an improvement in the OEE index of 17.60%, a reduction of 44.59 meters in operator movements, and an improvement in reducing operator effort by 88.5%. The contribution of this study can guide those responsible for the operations of SMEs in the metalworking industry that the tools of the Lean Manufacturing philosophy implemented together with the ADKAR change management model, are necessary to transform the processes as they complement each other, achieving a reduction in operational waste through the improvement of the mindset of employees by increasing their commitment to continuous improvement.
Inventory management and its relationship with production planning in a textile company.
The present research work is of a correlational – transversal type, quantitative approach, and non-experimental design, in which the poor production planning in a textile company in San Juan de Lurigancho was identified as a problem. In this regard, the following problem was formulated: To what extent is inventory management and production planning related in a textile company? On the other hand, in order to analyze the relationship between the variables inventory management and production planning, 2 questionnaires were developed and applied the same ones that were used with 34 collaborators of the company in analysis, in the questionnaire were raised 16 questions, whose distribution was the following: 8 items for the variable inventory management and 8 for production planning, using the Likert Scale. To determine the validity and reliability of the data collection instrument, these were subjected to reliability analysis by Cronbach's alpha coefficient and the results obtained were 67 percent for the inventory management questionnaire and 66 percent for the production planning questionnaire, so it is determined that the instruments are very reliable. Finally, the data were analyzed using statistics and the results were transferred to tables and figures, where the hypotheses were tested with Rho Spearman's statistical test allowing us to conclude that there is a significant relationship between the variables inventory management and production planning of 0.82.
Sensory acceptability of an infusion of Hibiscus rosa-sinensis, Mentha piperita L. and Citrus sinensis peel
The objective of this investigation was to determine the treatment with the highest sensory acceptability of a filtering infusion based on Hibiscus rosa-sinensis, Mentha piperita L and Citrus sinensis peel. This research is of an applied type of experimental design, an untrained panel of 30 people over 18 years of age from the Trujillo district was used. A sensory evaluation sheet with a hedonic scale from 0 to 5 was applied as an instrument, which raised 4 treatments with different percentages of raw materials, as a result it was determined that treatment 3 with 28.5% cayenne flower, 52% of mint and 19.5% of orange peel obtained greater acceptability and complies with the physicochemical requirements with a humidity of 11.02%, pH 7.4 and ashes with 7.11%. Likewise, the microbiological results met the limits established for an infusion with 9x102 CFU/g for Enterobacteriaceae and 7x102 CFU/g for molds, being suitable for consumption. Finally, it was concluded that in the evaluation of sensory acceptability, T3 was the most acceptable with a value of 4.8 considering that the taste had a higher preference with an average of 4.70, followed by smell with 4.66, color with 4.46 and appearance with 4.43.
Superficial urban heat island and its energy consumption in the metropolitan areas of Santiago de Chile and Caracas-Venezuela
This contribution estimates the of Superficial Urban Heat Island Intensity (SUHI) during the period 2001 - 2016 for the Metropolitan Area of ​​Caracas (AMC) and Santiago (AMS), located in Venezuela and Chile respectively. To quantify the SUHI, 2 methods were used: the Gaussian method (Streutker, 2002), and the quantile method (Flores, 2016). Both methods use data from remote sensing of monthly LST and annual product of land cover type (Land Cover Type) at 0.05° resolution, obtained from the MODerate resolution Imaging Spectroradiometer (MODIS) sensor on board the TERRA and AQUA satellite. The SUHI diurnal, obtained with the quantile method in the AMC, shows the maximum value ​​in April (5,28°C) and minimum ​​in August (4,04°C), and the SUHI nocturnal obtained present maximum value in April (2,56°C) and the minimum in December (1,91°​C). However, the SUHI diurnal in the AMS, shows the maximum value ​​in December (5,96°C) and minimum ​​in June (1,38°C), and the SUHI at night present maximum value ​​in October (2,90°C) and minimum ​​in July (1,75°C).
Wireless sensor network for the detection and storage of industrial acoustic event data
This study focuses on the designing and deployment of a Wireless Sensor Network that allows collection, storage and presentation of industrial acoustic contamination events data or dBA sound intensity which are measured through the implementation and programming of sensor nodes made up of Arduino UNO device and sound sensor MAX9814, this system sends the data through wireless transceiver module called nRF24L01 to a collecting device which is a Raspberry PI model B+ that receives the data by a like device nRF24L01. The collecting device performs a calibration data by software considering a percent relative error of less than ±5% which is calculated based on data measured by the UT353 Sonometer of UNI-T, finally, this device redirects the acoustic contamination events data to a database called Influxdb Cloud for a post analysis. The wireless sensor network deployment in a real environment is performed on the DANILACT enterprise that is dedicated to the manufacture and sale of products like mozzarella cheese, white cheese, milk, and yogurt. So, based on comments of administrative and operative personnel has been determined that the production processes generate annoying sound noise levels which have not been previously monitored for analysis, and in fact, the health of the enterprise‘s shift workers could be affected.
Influence of the use of mobile applications on the purchasing behavior of fast-food consumers in the province of Trujillo Perú
The objective of this study is to determine the influence of the use of mobile applications on the purchasing behavior of fast-food consumers in the province of Trujillo, where companies have had to adapt to the digital era to survive. For this purpose, applied research was carried out, with a quantitative approach, cross-sectional, non-experimental design, and correlational scope. The survey was used as a technique and the questionnaire as an instrument, and the study population consisted of the inhabitants of the province of Trujillo, aged between 18 and 64 years, with a sample of 267 people. Consequently, the results showed that there is a significant relationship between the use of mobile applications and purchasing behavior with a Spearman's Rho of 0.157 and confirmed the influence between both variables with 43.6% according to Nagelkerke coefficient. In conclusion, with the increasing use of mobile applications, the purchase behavior improves therefore, the purchase process improves, which is positive for brands because they benefit monetarily.
Techno-Economic and Socio-Environmental Study of a Floating Photovoltaic Project on Lake Yojoa , Cortés, Honduras
Honduras is a country that is undergoing a transition to renewable energies, steering away from fossil fuels. However, the electricity loss in the transmission and distribution lines has slowed down this transition. The exponential increase in the electricity tariff due to the accretion of fossil fuel cost, and the restrictions imposed during 2020 due to the COVID-19 pandemic have affected economically the small and medium restaurants in the touristic zone in Lake Yojoa, Honduras. The implementation of a floating photovoltaic microgrid-type system can diminish the economic impact endured by the restaurants by implementing a new monomial tariff for electricity, and attract more tourist to the area, activating the economy and promoting the transition to renewable energies at the same time. In this study, the feasibility of the technical, economic, social, and environmental aspects of the project were evaluated utilizing real measurements obtained from a reference restaurant and utilized for all the 67 restaurants in the area. In the economic aspect, a new monomial tariff was obtained, utilizing the national grid’s electricity tariff and the floating photovoltaic project’s electricity tariff, and furthermore the values of the levelized cost of electricity (LCOE), internal rate of return (IRR), return on investment (ROI), and recovery period of the project for both scenarios: with and without financing, being the financed scenario superior to the other. Environmentally the results obtained showed a decrease in CO2 emissions and socially the project had an 87% acceptance rate with the restaurants. This investigation can be used by the central government as a basis for future floating photovoltaic projects that help with the decentralization of energy generation and to mitigate the electric power loss in the transmission lines.
Continuous improvement methodologies in manufacturing firms: A systematic review of the literature 2016-2021
The aim of this research is to determine the most commonly used continuous improvement methodologies in manufacturing companies for the identification and solution of problems in the production process that may arise. Scientific articles were used through the SCOPUS, EBSCO and SCIENCE DIRECT databases. The filtering processes were considered in order to carry out this study with articles that respond to the question posed. Similarly, some key words were used for the search, such as improvement, methodology, manufacturing, continuous improvement. Fifty articles were selected for this systematic review. The result obtained indicated that the Lean Manufacturing methodology is the most widely used by manufacturing companies in the last 6 years. Since this methodology reduces waste, costs and unproductive time, it satisfies customer needs and increases the productivity of a company, making it more competent. Similarly, the 5S tool was identified as the most used tool for improving organisation, order and cleanliness in the company. It is worth mentioning that one of the limitations presented was the free access to the documents, which prevented a more accurate search.
Application of the Lean Manufacturing methodology to increase production in the manufacturing company INDEMUG SAC
This research work was carried out taking into account the need for improvement in the production processes of a manufacturing company. Therefore, the objective is to determine to what extent the application of the Lean Manufacturing methodology increases the production of the manufacturing company INDEMUG SAC in the year 2022. The study considered a population of 105 plates worked during 2021, taking them also as a convenience sample. In addition, validated instruments such as data registration forms, question scripts, a 5S compliance control form and company documentation were used. The main results were an increase of 46 plates worked by 2022, an increase in labour output of 0.019 plates worked/h-h-h and a 19% increase in order fulfilment. Finally, an economic evaluation was carried out where an NPV of S/15,213.33 (3956.47 dollars), IRR of 1.72 and a B/C of 3.69 were obtained. Therefore, the application of this methodology was profitable for the company.
Sustainable Cities: A Systematic Review from 2015 to 2020
In history, the formation of sustainable cities has been vital for people in different parts of the world. The aim of this study is to identify the factors that determine the sustainable development of cities. A systematic review covering the period from 2015 to 2020 was carried out in Ebsco, Proquest and ScienceDirect databases. In the methodological aspect, the eligibility and selection criteria of the studies established by the PRISMA method were taken into consideration. Thirty articles were selected from a total of 266. The results show that the largest amount of research is developed in Asia (36.7%) and the most representative sustainable development factors are economic development, social development and the level of human quality of life. Among the conclusions, it is highlighted that sustainable cities are still underdeveloped worldwide, however, there has been an increase in studies related to sustainable cities in recent years.
Modellus software in the learning of kinematics in engineering students
This research aims to determine the effect of the application of Software Modellus in the learning of kinematics in students of Industrial Engineering of a Peruvian private university. Using a pre- and post-test experimental design, the Kinematics Graph Comprehension Test (TUG-K) was applied to 68 students during a training period and the level of learning achieved was determined using the Hake factor. The results were analyzed using the Shapiro-Wilk and Mann-Whitney U tests. The study showed that the application of Modellus significantly improves the learning of kinematics in the experimental group, obtaining a medium level for the Hake index (p ≤ 0.05), but regarding gender, better results were evidenced in the women of the experimental group (96%) than in the men. As for the results according to the "registration" variable, 95% of students who attend for the first time took advantage of the use of the software while second and third-enrollment students took advantage of it 100%. It is concluded that there is a significant increase in the average level in the learning of kinematics by applying the Modellus Software compared to traditional teaching with better results in female students and in first-enrollment students. It is recommended to implement the proposal in laboratory practices, form mixed groups and develop hybrid guides.
Digital strategies in the performance of the global supply chain in the period of 2010-2022
The objective of the paper is to analyze the research trends generated on the digital strategies applied in the performance of the supply chain established at a global level during the period 2010-2022, in addition to reviewing their evolution over time and application of the models business in various technologies. As a methodology, a bibliographic review (SLR) was used from the literature published in Scopus databases. Through an exhaustive systematization, 41 articles were selected, classifying them by year of publication, type of quartile, number of citations, and according to the Sustainable Development Goals (SDG). In turn, the VOSviewer software was used to determine the concurrence between the variables. The literature findings reveal that the implementation of technological tools in the supply chain has been generated with a lack of government support, a deficit of trained personnel and a strong traditional management of the supply chain, the main challenges being those problems that Companies face to contribute to the adaptation of technologies in the improvement of processes and thus meet the goals set out in the SDGs and the improvement of the competitive advantages of nations.
Atmospheric aerosols in Huancayo and their relationship with the surface temperature in the Huaytapallana glacier
The snow cover on the Huaytapallana glacier is the main source of water for the Mantaro Valley. Many studies have shown that increased aerosols can lead to reduced snow cover. This study focuses on evaluating the changes in atmospheric aerosols during the winter and summer seasons in Huancayo and their relationship with the surface temperature in the Huaytapallana glacier. For this reason, measurements of the optical properties of atmospheric aerosols have been carried out using a CIMEL sun photometer from the AERONET network at the Huancayo Observatory, from January 2018 to March 2022. Likewise, the MODIS sensor belonging to the TERRA satellite was obtained, to obtain the aerosol optical thickness and surface temperature at a spatial resolution of 10km and 5km respectively with a temporal resolution on a monthly basis during the period 2001-2020. In the results obtained, the mean value of EOA for the study period is 0.21 ± 0.07 and the mean alpha value is 1.7 ± 0.22, indicating the presence of fine fashion aerosols. (burns biomass) . Likewise, the main types of aerosols: dust (30%), mixture (23%) biomass (16%), maritime (14%), contaminated (11%), continental (6%). It is concluded that the glacier retreat is - 80% and the increase in atmospheric aerosols is 0.01% EOA day-1 using the CIMEL sun photometer and 0.16% EOA year-1 using the MODIS sensor. With the present investigation, continuous monitoring of forest fires will be proposed to prevent the increase of atmospheric particles, it is also necessary to implement air quality management measures for the Mantaro Valley or at the national level to reduce forest fires as a result of agricultural activities.
Lead phytoremediation by three plant species with an organic amendment
The high contamination with heavy metals in the soils of the Mantaro Valley, Peru, and the few studies reported using organic amendments with three species led to evaluate the Pb phytoaccumulation capacity of three plant species: Taraxacum officinale (TO – the dandelion), Arabidopsis thaliana (AT), and Helianthus annuus (HA – the sunflower) on their roots and shoots. For this, these species were cultivated in pots containing agricultural soil (substrate A - 764 mg Pb/Kg) and agricultural soil + organic amendment (substrate B - 681 mg Pb/kg). Treatments were arranged in a 3 x 2 factorial random design, with three replicates. High concentrations of Pb were observed in the plants after exposure to lead-contaminated soils. For both substrates (A B), the species with the highest concentration of Pb in the shoots were TO (69.81 ± 2.58 mg/kg 56.48 ± 1.23 mg/kg) and AT (48.30 ± 2.18 mg/kg 23.78 ± 0.84 mg/kg) and with a higher concentration in the HA roots (52.96 ± 1.15 mg/kg 38.27 ± 2.76 mg/kg), Bioaccumulation factors (BCF) and translocation factors (FT) were evaluated. For substrate A, the AT species obtained a higher FT = 2.91, followed by TO (1.65). For substrate B, TO showed a value of 1.57, followed by AT (1.36). The three species demonstrated their capacity for the remediation of Pb from contaminated soils
Applying the Grey Systems Theory to Assess Air Quality in La Oroya - Peru
Air pollution is a problem in several mining and metallurgical operations, which can increase if the processing plants do not respect environmental standards. This work evaluates air quality with three monitoring stations in the years 1999, 2008 and 2014 in the city of La Oroya, near the Metallurgical Complex of the same name. The method used in this research was the grey clustering method, which is based on the grey systems theory. This technique allows working with data with a high degree of incertitude. An example would be the air quality analysis data. The results of this investigation reveal that in the year 1999 the air quality was extremely poor, while in 2008 it varied from poor to extremely poor however, in 2014 the calculations show that the quality is good. These conclusions are obtained from the Ontario Ambient Quality Criteria (AAQC) and the Metropolitan Air Quality Index (IMECA). The results of this inquiry could motivate the competent authorities to carry out more studies to confirm that the air quality in La Oroya is good, since it was ranked as the fifth most polluted city.
ICT STRATEGIC PLAN BASED ON KNOWLEDGE MANAGEMENT FOR BASIC EDUCATION INSTITUTIONS
This research is aimed at basic education institutions. The purpose of it was to propose an ICT Strategic plan based on Knowledge Management, thus allowing the formation of strategic lines or plans that incorporate teachers in the use of information and communication technologies, and ensure that they themselves are capable of to encourage students to achieve educational objectives. Regarding the methodology used in the research, we worked with a descriptive field study, with a non-experimental design of a quantitative approach, where a sample of 24 teachers was taken. In the same way, various data collection techniques such as interviews and surveys were used, obtaining as a result that the plan demonstrates great effectiveness for effective knowledge management.
OPERATING MODEL BASED ON KNOWLEDGE MANAGEMENT FOR ADMINISTRATIVE PROCESSES IN THE STUDY CONTROL DEPARTMENT
This project's main objective is to propose an operating model based on knowledge management for administrative processes in educational institutions. With this in mind, a population made up of six (6) people who make up the administrative staff of the study control department of the Haydeé Calles de Medina Educational Unit in the city of Coro in the state of Falcón was taken. The data collection techniques will be based on direct observation and a questionnaire-type survey, the methodology to be used is the one proposed by Nonaka and Takeuchi, this proposal will seek to increase the quality and efficiency in the management of the services it performs, allowing the integration of the different processes and in general thereby changing the way in which the institution currently operates, helping in its productive activities, facilitating administrative management, reducing the time spent on procedures and consultations, as well as a higher quality in the services provided. To achieve the proposed objectives, 8 phases will be implemented that will allow progress with the object of study.
Critical thinking and online collaborative learning in university students: a correlational study
An active methodology necessary for the development of critical thinking (CT) is collaborative learning (CL). The remote modality attributes to this methodology new challenges and potentialities different from the face-to-face modality, which is why it is necessary to evolve to the online collaborative learning (OCL) approach. The objective of the study was to determine the relationship between critical thinking and online collaborative learning in university students. In this line, a descriptive and correlational analysis was carried out between these variables, using the questionnaire of critical thinking and the questionnaire online collaborative learning, that were applied to 125 higher education students from a Peruvian university. A positive and strong correlation was found between critical thinking and online collaborative learning, while in the analysis of its five dimensions, the correlation remains positive but at a medium level. It is concluded that students with a high level of online collaboration tend to have a high level of critical thinking, since dimensions such as information exchange, positive interdependence, digital skills, socio-emotional skills and internal regulation of the team foster skills that in turn are coincident with critical thinking.
Substation encapsulated in SF6 gas: an alternative to the evolution of energy demand
Energy is of value for the inhabitants of a country and this is contemplated in the objectives of sustainable development. Considering the importance of this resource, it is necessary to choose the best alternatives in terms of equipment in energy substations. In this research, the GIS system was compared to the AIS, determining its advantages in technical and economic criteria: operation and maintenance, reliability within an energy system, implementation and installation costs. Considering a mixed approach and a concurrent nested design of several groups, three data collection techniques were applied, finding valuable information that allowed concluding that the SF6-encapsulated cell (GIS) presents greater advantages in space saving, reliability, space, and operation and maintenance.
Current research trends on smart ports in the last decade: A theoretical application for supply chain management
The research identifies and analyzes the main academic trends developed on the use of smart ports in the last decade. The PRISMA bibliographic review of literature from journals indexed in Scopus and others anchored to the SJR is used as a methodology. Sustainability, information technologies and infrastructure on the use of smart ports for supply chain management were taken as variables. As a main result, it was identified that the three variables provide added value, competitiveness, and efficiency in the management of the microgrid system for the reinvention of the maritime supply chain, transforming it into a solid connection in the fourth industrial revolution.
Effects of the Service-learning Methodology on the Environmental Behavior of Students from a Private University, Lima, 2022
The article aims to evaluate the effect of the Service Learning methodology on environmental behavior in students of a private university in Lima, in the 2022-2 semester. The methodology was of an explanatory type, with a quasi-experimental design, with post-test only and intact groups. The sample consisted of two groups, one control and the other experimental, with 80 students in each group, to whom a validated questionnaire was applied as an instrument. with Cronbach's alpha, with 24 questions on a Likert scale, and they measure the environmental behavior variable, with its three dimensions: Eco-efficient practices, Preservation and conservation of the environment, and Environmental sensitivity. The results indicate that the experimental group managed to raise the environmental behavior in its three dimensions and generally obtained two levels, the average and the high, without obtaining low levels. It is concluded in the inferential analysis, of the total instrument, that there are significant differences in the environmental behavior variable, between the mean of the control group (77.90) with respect to the experimental group (95.30) with the Service-Learning methodology. And in the descriptive analysis, it was obtained in the three dimensions for the experimental group, which reach average and high percentages in the students' grades.
CULTURE OF BLACK SOLDIER FLY LARVAE (Hermetia illucens) AS A STRATEGY FOR USE OF ORGANIC WASTE, CAJAMARCA
The growing problem of waste generation generates a negative impact not only on ecosystems but also on an economic level. This research seeks to evaluate the degradative capacity of Hermetia illucens larvae to take advantage of organic waste product of anthropogenic activity in the city of Cajamarca, Peru. The culture of approximately 20,000 Hermetia illucens larvae was carried out on 10 kg of substrate composed of organic waste under adequate environmental conditions for a period of 15 days, determining that the larvae present an efficiency of 64.3% degrading organic waste, at their At the same time, an increase in mass of the larvae in the prepupal state of 4.97 Kg was evidenced, which contains a high value of proteins and usable fats. Therefore, this research presents an innovative strategy that promotes the cultivation of protein, the valuation of organic waste and suggests a promising solution to the problems of waste management.
Liquidity and asset turnover: A simple linear regression model for agricultural firms.
The objective of the article was to demonstrate the construction of a simple linear regression model of liquidity (dependent variable) with asset turnover for the agricultural sector. Also, to verify if the regression model works, taking into account that there must be a causal relationship, not only random, between the variables. The methodology had a quantitative approach of non-experimental design at a causal and longitudinal correlational level. For these purposes, simple linear regression was used to find a predictive model. This study had as population and sample all the companies of the Peruvian agricultural sector, listed in the Lima Stock Exchange. The result shows an acceptable goodness of fit. The standard error of the estimation is low, showing a better fit. The model is feasible, since there is a significant relationship between the variables. The regression model obtained is: Liquidity = 1.490 + 3.696 Asset turnover. The conclusion indicates that the regression model works because there is a causal relationship between the variables. For future research it is convenient to incorporate other economic sectors, a larger geographic space, or more analyzed periods. Different variables could be included to build a multiple regression model, logistic or structural equations.
Indebtedness and Financial Culture: A Case Study at a University of Trujillo – Peru
The main objective of this research was to determine the relationship that exists between indebtedness and the financial culture of the administration students of the Universidad Privada Antenor Orrego de Trujillo Campus in the year 2022. The study was carried out using the non-experimental qualitative approach of correlational descriptive design, also two questionnaires of 14 items each were used as data collection instruments which were validated using the Kuder-Richardson technique with a result of 0.77 these were used to analyze a population of 279 students belonging to the Economically Active Population (EAP) of legal age, belonging to the seventh cycle onwards and who have a credit card and/or loans with financial entities during the period from August to December of the year 2022, from which a sample of 162 students was extracted with a confidence level of 95% and a sampling error of 5%. The results obtained were that 59.88% of the students have a low level of indebtedness and 48.15% demonstrated a medium level of financial literacy. The main conclusion was that a low positive relationship was determined between the indebtedness of Administration students with the dimensions of financial culture considered in this research, such as knowledge, ability and financial attitude.
Deep learning algorithms to forecast the magnitude of earthquakes in Peru
The research proposes the application of the LSTM algorithm with the objective of forecasting the magnitude of the earthquakes in Peru by adding pink noise in their dynamics to replicate and capture the complex dynamics of the magnitude, an antipersistence in the increases is confirmed by means of the coefficient of hurst. less than 0.5 and stable. An LSTM network model of higher accuracy in generating forecasts than the single-direction multilayer perceptron network is then implemented. Therefore, evidence of a better performance of the LSTM network is presented in relation to the earthquake magnitude variables due to the pink noise that occurs in its dynamics. The study period runs from January 1, 2020 to October 23, 2021.
Increasing the service level index through implementing Lean Warehousing tools in a trading household equipment company
The commercial sector represents a fundamental part of Peru's economy and has been growing exponentially in recent years. However, like any other sector, it is affected by various challenges that affect customer satisfaction, the impact of which has a direct effect on sales. Therefore, in this case study, a set of tools such as the 5S methodology, Kaizen and standardized work were defined, which will focus on the optimization of this indicator and the solution of its root causes. Likewise, the improvements were validated through a pilot test and the use of Arena software. The results obtained were positive, since there was a time reduction in the search for tools from 8 minutes to 4 minutes, and the cycle time decreased from 15 minutes to 10 minutes. The material shortage rate improved from 29% to 10% and finally the efficiency was maximized from 48.41% to 64%. All these results generated an increase from 87% to 94% in the main indicator, which is the level of service. This research proposes a new model combining Lean Warehousing, Kaizen, 5s and Standard work applied in a kitchen commercialization company, which would help other companies in the same sector to optimize the picking and packing processes and increase the level of service. It should be noted that there are not many case studies using these methodologies, so the aim is to disseminate and validate these methodologies in a new scenario.
DFT Analysis of Porous Lewis Acids Catalysts for Biomass Conversion to Fuels and Chemicals
Density functional theory (DFT) calculations can guide the design of efficient and selective catalysts for converting biomass-derived feedstocks to fuels and chemicals. In this work, we performed systematic DFT calculations with specific treatment of van der Waals forces to analyze the structure and functionality of zeolites substituted with metals. The catalytic activity of Sn-BEA and the interaction of this catalyst with different solvents were studied. Through these calculations, we intended to analyze the effect of solvent on the reaction mechanism to turn fructose into dihydroxyacetone (DHA) and glyceraldehyde (GLA). The interactions of reactants, products, and solvent molecules with Sn-BEA will provide insight into the catalytic properties of these systems, and transition state calculations will guide on the selection of the best solvent for this reaction
Silver Reduction by Biopolymerization in Aguas de Río Grande
The research design was carried out with the objective of determining the influence of residence time and pH on the reduction of silver by the biopolymerization of water from the Rio Grande. The study was developed with the realization of silver contents subjected to different residence times (40, 80, 120 minutes) and different pH values (2, 4, 6), assuming an initial silver concentration of 14.01 ppm. The study concluded its result with a reduction of silver (initial concentration: 14.01 ppm) at 40 minutes and 2 pH was 49.2% (7.12 ppm of Ag) and as the residence time and pH increase, the reduction of silver increased, obtaining a reduction of 96.3 % (0.52 ppm of Ag) with a parameter of 80 min and pH of 4. The results are verified by an analysis of variance of 95%.
Capital Cost and Profitability in Heavy Machinery Rental Companies for Large Mining
Abstract- The purpose of this study is to determine the weighted average cost of capital and profitability in the sample: Zamine Perú S.A.C. - Cajamarca, implementing a quantitative, non-experimental, and longitudinal approach, since it is intended to expose the cost of capital variable by applying the methodologies of the Capital Asset Pricing Model (CAPM) and the Weighted Average Cost of Capital (WACC), and the profitability variable by applying the methodologies of the Economic Value Added (EVA) and the Free Cash Flow (FCF). It was determined that even though this type of company works with a high percentage of debt, which affects the reduction of profitability, it also considerably reduces the cost of capital, so it remains a conservative and profitable company.
Spatial modeling of confirmed cases of COVID-19 in Chile
This study utilizes global and local spatial modeling techniques to comprehend the factors that may contribute to the expansion of the SARS-CoV-2 virus at the commune level in Chile. The results show that the global regression model (Ordinary Least Squares) presents a poor fit with an adjusted R2 of 0.33. However, the local modeling regressions (Multiscale Geographically Weighted Regression, MGWR) obtain a better fit in the explanation of the factors that affect the incidence rate of the disease COVID-19 with a R2 of 0.90 and presents an AICc lower than the models obtained by the Geographically Weighted Regression. Therefore, MGWR significantly improves the performance in comparison with the common global regression model. The mobility indices, meteorological factors such as wind speed and precipitation, and the environmental pollution variables proved to be related with the incidence rate of COVID-19. The use of local regression models yields relevant information to health professionals and legislators to help effectively control this virus and other similar viruses with similar spread characteristics in Chile.
Main research trends on reverse logistics published during the years 2017 and 2022
Abstract– The article identifies the main research trends published and indexed on reverse logistics during the years 2017 and 2022. The state of the art defines the concepts of reverse logistics, the environmental conditions of supply, as well as the main logistics business practices. established for this business model. The methodology uses the systematic literature review technique, under the PRISMA model. It is concluded that the literature shows a special concern for the standardized processes of reverse logistics to mitigate environmental damage, the effects of value creation, the level of efficiency, the general logistics costs of its implementation, as well as its impact on the transformation of the traditional supply chain.
Predictive model of sunlight based on Artificial Intelligence for the optimization of electric power generation
Abstract– Due to the continuous depletion of resources and the increased social awareness of environmental problems, there is currently a constant need for energy, which has led researchers to seek new technologies to optimize the production of electrical energy. The present investigation has the type of applied investigation, it has a predictive level, its design is experimental and with a quantitative approach. The CRISP-DM data mining methodology was used, which is considered the de facto methodology for projects dedicated to extracting data values. In this sense, the data was collected, establishing the following variables: date, time, elevation angle and azimuth, later, the data was ordered in the Excel program, to be later processed in the Orange software. Which was used to predict the coordinates of the movement of the sun, so that it can optimize the electrical energy through the solar light tracker system. In addition, linear regression precision metrics were used and the design of the proposed prototype was carried out.
Organizational Restructuring in Administrative Management: A Case Study in a Mining Company in Lucma, Gran Chimú - Peru
The general objective of this investigation was to determine the influence of organizational restructuring on the administrative management of the Huayday de Lucma - Gran Chimú Mine in the year 2022. The type of research was applied, at an explanatory level, with an experimental design with a pre-grade experimental and qualitative, the instrument to collect the data was the questionnaire, applied to 25 clients of the company, which were registered in a database in Microsoft Excel. For subsequent validation, the polytomous Aiken V technique and Cronbach's alpha were used, which in turn made it possible to measure the degree of reliability. In the results, the percentages and averages that allowed to demonstrate the hypothesis were observed, they also consist of variations in reference to before and after the implementation where the four dimensions of administrative management: planning, organization, direction and control, represented the following changes , 4% of the clients surveyed affirmed that the management level was bad while 96% considered it regular, by establishing management strategies it allowed improving the level of clients who considered administrative management regular by 36% and 64 % of customers who found it excellent. Finally, this investigation, by admitting the alternative hypothesis and rejecting the null hypothesis, concluded that the application of the strategies did influence and allowed to improve the level of administrative management by reinforcing the four fundamental pillars for good management. Likewise, its implementation benefited the functionality of the administrative processes by optimizing its management activities and adhering to new guidelines imposed by the company that allows it to fulfill its tasks and requirements more efficiently.
Prototype mini-weather station with cloud service through Arduino and PHP
Information technologies are the perfect medium for the development of multidisciplinary proposals that contribute to the development of digital media for the benefit of society on climate monitoring and monitoring. The objective of this research is to develop a prototype of a low-cost mini-weather station with cloud service through Arduino, PHP and MySQL. Methodological design includes the identification of technological resources, design, coding, testing and implementation. In this first approach, the mini-meteorological station allows obtaining data on environmental temperature, relative humidity and atmospheric pressure. The tests were carried out during the years 2017,2018 and 2019 in order to assess the operability of the prototype in different seasons of the year. The data quality performance represents an accuracy of 93.76% for the ambient temperature variable, 99% for atmospheric pressure and 50% for relative humidity. It is recommended that in future research an FC-37 rain sensor and a JL-FS2 anemometer be integrated into the prototype to measure wind speed.
Generation of daily flows using the GR4j model and the ERA5 gridded climatic product in the Crisnejas basin up to the Puente Crisnejas hydrometric station
Given the lack of hydrometeorological records in the Crisnejas basin, the present study aims to generate the flows on a daily scale in the main channel of the river up to the Crisnejas bridge station based on the ERA5 satellite-based climate grid data and the French precipitation model. GR4j runoff. This will serve as the basis for future hydrological studies in the Crisnejas River. For this work, it has been planned to carry out a calibration, validation and extension of the hydrometric records on a daily basis between the years 1979-2020
Daily flow generation using the GR4j model and ERA5 gridded climatic information in the Jequetepeque basin up to the Yonán station
Given the absence of hydrometeorological records in the Jequetepeque basin, the present study aims to generate the daily flow rates in the main channel of the river up to the Yonan station based on the gridded data of ERA5 and the French model of precipitation-runoff GR4j. This work will serve to be able to evaluate, using hydraulic models, the overflow of the Jequetepeque river and to be able to calculate the flows of maximum avenues. For this work, it is planned to carry out a calibration, validation and extension of the hydrometric records on a daily basis between the years 1979-2020.
Application of mixed methodologies to increase the productivity of an agro-industrial company
The agroindustry is one of the sectors with the highest consolidated growth detected in recent years. In Peru, this sector is an essential part of the economy, contributing considerably to the PIB and generating many jobs per year. Therefore, companies in this sector seek to improve continuously for these reasons. However, many of these have problems such as low productivity in their processes caused by a lack of organization and order in the work areas, high downtime, unnecessary movements between activities and machine failures. Due to this, the main objective of this research is to increase the productivity of the avocado production process of the selected company through an improvement proposal using 5s, SLP, TPM and work standardization. Likewise, to validate the success of the improvement proposal, the Arena software was used, the scope of the proposal covers the arrival of the raw material from the warehouses to the packing of the finished product. The results obtained were an increase in productivity of 36.62%, an increase in the general efficiency of the equipment by 18%, an increase in yield by 13% and a reduction in unproductive times by 86%.
Increased Operational efficiency in an SME in the textile industry through a production model based on Lean, TPM, and SLP tools
The textile sector is positioned as one of the industries that generate a great economic impact in Peru, in addition to being a generator of many sources of work. However, in recent years there has been a low production efficiency in companies related to downtime by operators and the machines used, high material flow, as well as high set up times. In this way, the aforementioned problems generate that the planned production cannot be fulfilled in the established times, causing new expenses due to a misuse of the available resources. In this sense, this article proposes an integrated model that uses Lean Manufacturing tools, including SMED and 5S, hand in hand with TPM and SLP methodologies to increase the operational efficiency. To verify the effectiveness of the of the proposed model, a pilot plan was carried out, giving positive results. In addition, to validate the improvement, a simulation in Arena Software was done, finally reaching an improvement of 11.01% in the index operational efficiency. The contribution proposed in this study can help and guide other SMEs in the textile industry to counteract many of the main problems that afflict them, that the Lean Manufacturing Tools applied together with SLP and TPM methodologies can optimize process from both views of machines and operators, managing to increase efficiency in its operations and a better use of its available resources.
Optimal Exponentially Weighted Moving Average Of T2 Chart
We propose a chart for normal variables that uses a statistic that is a recursive form of Hotelling’s T2 statistic. The objective of this study is to improve the performance of the T2 chart. To analyse the performance of this chart, we have developed a user-friendly program that finds the best parameters through Genetic Algorithms. This algorithm minimises the out-of-control ARL (Average Run Length) for a proposed shift in the mean vector under the restriction of a desired in-control ARL value. The proposed control chart shows better performance than the Hotelling T2 chart.
Productive Innovation and Technology Transfer Center Design to reduce Technological Gaps in agro-export companies in Lambayeque Department
The word Technology Gap refers to the difference between the technologies that a company has and the technologies that it could have. This gap can manifest itself in several aspects, such as the efficiency of business processes, the ability to compete with other companies or the ability to adapt to market changes, based on this, this research is proposed with the general objective to reduce the Technological Gaps in agro-export companies in the Department of Lambayeque through the design of a Center for Productive Innovation and Technology Transfer. It began with the diagnosis, applying a survey of 47 questions to the sample of Managers, or administrators or managers of the Research + Development + Innovation Areas of 66 companies that are part of the population of 125 agro-export companies Secondly, the proposal for a Center for Productive Innovation and Agroindustrial Technology Transfer was prepared, prioritizing the trend of value-added products in the international market, and sizing the plant based on the mass balance of raw materials to be served per day, and using the Guerchet methodology for calculating areas, all under the regulations in force by the Technological Institute of Production, which is the entity responsible in Peru for the creation and operation of the so-called CITEs Finally, the profitability of the proposal was evaluated under a social approach, resulting in an IRR of 10.14% and a NPV of S/ 2,280,785, declaring the proposal viable. The study concludes that the design of a public CITE for the Lambayeque agro-export sector contributes positively and sustainably to closing technological gaps in productive infrastructure, laboratory analysis, technical assistance for quality assurance and specialized training in innovation.
Influence of Culture Conditions on the Growth of Red Macroalgae. A systematic review
The objective of the research is to provide information on the culture conditions that influence the growth of red macroalgae. A systematic review was developed selecting 19 articles, they were distributed according to the specific objectives: reproduction method, environmental parameters and culture systems. Among the reproduction methods, asexual propagation is mostly applied, being the tissue cultures with the highest growth rate (7.01 %/day DGR). The environmental parameters for controlled conditions are maintained between 19-31°C temperature, 40-60 μmol photons m-2s-1 of irradiance and natural light hours:darkness, and in the field a temperature of 27-34°C is commonly measured, 28.31 ppt salinity, 6-8 pH, and 5-8 mg/L dissolved oxygen. Among the culture systems, Long Line gave higher growth rates (5.84 - 7.01 %/day) than “palangre” (2.8-6.18 %/day) in the case of the most studied species, Kappaphycus alvarezii. In conclusion, the method of asexual reproduction, the environmental parameters in culture of temperature, irradiance and light hours:darkness, and field measurements of temperature, salinity, pH and dissolved oxygen and the use of the Long Line culture system, are the ones that give the highest growth rates for red macroalgae
Towards a Knowledge Management Maturity Model for Research and Development Centers: a conceptual approach
Knowledge management as a line of research within the framework of management sciences has become an area of ​​transversal interest for organizations, especially those that base their strategy on research, development and innovation (R+D+i) activities. ). This research includes a conceptual approach to the design of a model for measuring the maturity of knowledge management in R+D+i centers in Latin America. The methodological design implemented is of an exploratory type, of a non-experimental design and based on mixed methods based on the use of systematic literature review methodologies and tools, and qualitative content analysis and scientometrics. The final result is a first version of the maturity model as a measurement tool for research and development centers, which makes it possible to identify the current stage of the organization or its knowledge structures and to generate guiding elements to move to a new stage
Soil zoning for foundation purposes in a population center in the Selva Alta del Huallaga, Peru
Population growth, access to services to achieve a better quality of life, access to employment and other factors have led to rapid urbanization in inadequate and overburdened sites in Latin American countries. The 2030 agenda aims to achieve sustainable cities and communities that offer comfort and safety based on construction and planning requirements in line with regional and national development. This motivated the study of a population center in the Peruvian jungle, carrying out a geotechnical zoning of soils based on their chemical, physical and mechanical properties. Twelve test pits were made and strategically distributed in the study area according to the technical requirements of the E050 standard for Soils and Foundations. This was complemented by six types of laboratory tests, the most important being the Direct Shear and Modified Proctor tests. From these the soil types were obtained: low and high plasticity clayey soils (CL and CH) and low and high plasticity silty soils (ML and MH). With the standard proctor test it was determined that its maximum density is within the range of 1.598 to 1.933, as well as, with the direct cut test it was determined that they exceed the minimum normative value of 0.50kg/cm2 and with respect to the analysis of soluble salts it was verified that there is a minimum percentage of salinity. Soil zoning maps were prepared. It was concluded that the study area in the Selva Alta del Perú is suitable for constructions of no more than three stories, and because of its low salinity, "Portland type I" cement can be used as a construction material. Translated with www.DeepL.com/Translator (free version)
Culture of entrepreneurship and innovation in the agri-food industry. An overall review.
The culture of entrepreneurship and innovation are synergistic elements that accompany business success at all levels, which have assumed a relevant role in the food industry, considered one of the sectors with contributions in health, nutrition and food worldwide. In this review article, the main cases and entrepreneurship factors were analyzed, as well as the most relevant innovation models in the global agri-food industry, for which a literary review was carried out, filtering and selecting 50 scientific articles published from 2017 to 2021. Subsequently, they were classified into subtopics according to the information obtained, facilitating their understanding and specific analysis. Finally, it is concluded that the main contributions to knowledge in entrepreneurship and innovation are focused on sustainable and profitable proposals in political, socio-cultural, environmental and technological fields as well as validation procedures, techniques and instruments for its application in the food industry. We also provide recommendations for future research directions in the food sector.
Production management model under the Lean approach to reduce the waste rate in the manufacturing process of SMEs in the cercamic sector
Ceramic manufacturing plants base their operations around continuous and automated production, prioritizing the proper maintenance of machines to avoid production losses. In this sense, this research focuses on reducing defective products since it generates the greatest economic loss in the case study. For this purpose, a production management model based on TPM and SMED tools is proposed, contributing to the increase of availability and reduction of the mean time between machinery failures. Finally, the results are validated based on the line production, which represents 33.55% of the monetary value. Finally, the proposed model manages to decrease the set-up time and increase the availability of machinery to 32.31% and 88.4%, respectively, obtaining as a critical result the reduction of defective products from 5.44% to 2.33%, allowing access to a high level of competition in its sector and a decrease in operating cost overruns.
Lean Management model to improve production efficiency in an MYPE in the textile sector
In Peru, the textile sector represents 6.3% of GDP within the manufacturing sector, being one of the most important in our country. Peru is considered one of the main exporters of organic pima cotton, however, the main problem in the textile sector is low efficiency, with the national average being 50.3%, remaining below the average of other countries such as Colombia (79.12%) India (90%) and Bangladesh (41% to 62%). The causes that generate low efficiency are: disorder in the work area, absence of standardized processes and erroneous preventive maintenance plan. The present study proposes a lean model based on the 5S components, Standardized Work and the autonomous pillar of the TPM, these tools have the objective of reducing the causes presented that cause low efficiency. The present proposed research manages to reduce rework from 13.39% to 7.39%, reaches a 5S authorship level of over 75% and increases production efficiency from 44.78% to 50.3% With this, a precedent is set that contributes to the increase in the efficiency of the country's textile SMEs.
Lean Logistic and Supplier Relationship Management to reduce stockouts in a Graphic Industry
The publishing sector in recent years experienced problems in the supply of its main raw material due to its scarcity, paper, considerably affecting production and meeting market demand, generating losses for SMEs in the sector. Based on this, reducing the levels of raw material stock breakage was essential to be able to meet customer demand. Therefore, this research has as its main objective to improve the rate of stock breakage of raw material in a publisher, which is currently 22%, being higher than that of the sector which amounts to 12%. In this sense, a model based on the Lean Logistic and SRM methodology is proposed, applying a demand-based planning system (DDMRP), supplier relationship management (SRM) and standardized work. The application of the model manages to reduce by 16.04% the rate of breakage of raw material stock.
Lean production model to increase the level of service in a rubber industry SME
Companies in the rubber sector face a high rate of non-delivery of complete and on-time orders, even earlier, which intensified with the pandemic. The need for more resources such as rubber, kaolin, or sulfur, which are essential for the production process, leads to a supply of raw materials with proper inventory and production management. Furthermore, the growth in the number of companies in the plastics and rubber sector since 2015 requires companies to meet customers' expectations so that they do not opt for the competition. The present research proposes a model that applies Lean tools such as Autonomous Maintenance, Standardized Work, Kanban, and Heijunka in a company in the rubber sector to increase the fulfillment of the delivery of complete orders on time. With the implementation of the model in the case study, the availability of the extruders was increased by 16.94%. Similarly, an EPEC of less than three days and an inventory index of raw material on hand of more than six days were achieved, obtaining an increase in the OTIF of 20.51% as a crucial result.
Warehouse management model based on Lean Warehousing to improve perfect order fulfillment in a pharmaceutical warehouse
This study focuses on the correct service management of pharmaceutical warehouse processes since an excellent level of service is required in the correct distribution of orders without interrupting the flow of deliveries to customers. This problem becomes more relevant because involve medicines. For this reason, the level of perfect order fulfillment was analyzed, of which it presents a % of 85% compared to 95% of the required sector, which this gap is equivalent to S /. 411,451 in lost sales due to penalties and returns. As a contribution, Lean Warehousing tools such as 5s, standardization, Poka Yoke and TPM were implemented in the warehouse processes following a continuous improvement methodology. The solutions presented for each root cause were measured based on indicators of the perfect order, such as the percentage of complete deliveries, the percentage of quality deliveries, the percentage of on-time deliveries, and the percentage of adequate documentation. In conclusion, the application of the improvement proposal will increase the percentage of perfect orders above 95% of the standard of excellence, achieving a better flow of orders in a future VSM in less time and in a higher quality of service for the final customer.
Improvement model to reduce defective parts in the hinge line of a Peruvian metalworking SME using lean manufacturing tools
There are immeasurable small and medium-sized enterprises distributed all over the world that in some cases have certain occupational and financial limits. In turn, they contribute significantly to the economy of each country. Among the main sectors that make up these so-called SMEs are metal-mechanical manufacturing. One of the main problems faced by these manufactures is the production of defective parts in their production lines, which has a great impact on the monthly or annual turnover. For this reason, this research tries to propose an innovative solution to attack the aforementioned problem. This, using various analyses related to the lean philosophy and its tools to help counteract this dilemma. This study seeks to implement tools such as 5S, Poka-Yoke, Andon and TPM, in order to reduce defective production in the hinge line of a Peruvian metalworking SME. Through the research, a result of progress was obtained from 29.83% to 13.24% in its defective production indicator, which is reflected in a margin of improvement of 16 percentage points.
A systematic review. Efficacy of natural coagulants in the treatment of domestic wastewater.
This review is based on the current problems experienced by the contamination of domestic wastewater, which has been increasing over the years and by the increase in population, affecting the environment, mainly water. Thus, the proposal to use natural products as potential coagulants reduces the toxicity and repercussions to the environment and health generated by conventional chemical coagulants, contributing to the care and preservation of water resources.
Production management model based on LEAN, TPM, DDMRP, and change management tools to reduce lead times in an SME in the garment manufacturing sector
Currently, SMEs are unable to meet the needs of customers, presenting problems for the delivery of complete orders on time. Based on an analysis of continuous improvement tools and integration of change management within the organization, a new production management model is proposed that manages to reduce delivery times This model uses tools such as: DDMRP, 5S, JIDOKA, TPM and integrates change management with the Kotter model as a base. The proposed model was carried out in a pilot test of an SME in the textile and clothing sector, obtaining as results: an increase in Total (IF) and inventory precision of 87.77% and 95% respectively in addition to the reduction of defective products by up to 2%.
Socioeconomic inequality and its association with traffic accidents in Great Santiago, Chile
In the present study, we investigate the relationship between different dimensions that define socioeconomic inequality and the rate of traffic accidents that occurred in the 34 communes of Great Santiago, Chile in the 2015-2019 period. First, global regression models are employed to explore the associations between the variables, and consequently, spatial regression models (spatial lag models, spatial error models, and geographically weighted regression) were used. Results suggest that the rate of educational establishments present a strong association with the rates of traffic accidents, particularly in communes with high levels of poverty. Thus, the results may support authorities in the resource assignment for road safety by prioritizing those communes in Great Santiago with inhabitants of medium-low socioeconomic segments.
Sustainable development and fair trade-A systematic review of the main research published between 2010 and 2022
Currently, the impacts caused by sustainable development and fair trade in agriculture are favorable for the growth of production. The objective of this research was to determine the current trends on the commercial, environmental, and economic impact of sustainable development and fair trade in the agricultural sector during the period 2010 - 2022. The systematic review of literature (SRL) was used as a methodology, giving as a result, the choice of 40 sources for the analysis of this research. The results had determined that there is a greater use of the qualitative approach in refereed publications on the field of study. In addition, concluded that the effort of economic, public, private, and socioeconomic actors is required to achieve a synergy to induce a joint transformation of the agricultural sector. Likewise, research trends determine that there is a positive commercial impact of the usage of fair trade and sustainable development in the world that caused a greater commercial growth in the agricultural sector.
Pre-Fermentation of crushed Quebranta grape in the production of Pisco with separation of skins and seeds
In the conventional process of elaboration of Pisco in Peru, the first operations of destemming and pressing, mainly the last one, are carried out avoiding the possibility of tearing the seeds and skins of the grape, which could denature the Pisco. In the destemming, the stalk is separated from the cluster, forming the crushed. This is pressed, obtaining must and a residue called pomace, which is very difficult to treat and separate for later use of its components. The pomace, together with other residues from the process, represent around 87% of the original grape. To achieve the effective separation of the pomace, without altering the brandy, a method and equipment for controlled pre-fermentation of the grape crushing are presented, eliminating the conventional pressing stage from the process. As a result of the proposed process, the effective separation of the seeds and shells is achieved, obtaining a greater amount of must, reducing the consumption of Quebranta grapes in the process from 6-8 kg of grapes/L of Pisco to 4 - 4.5 kg of grapes / L of Pisco. The physicochemical, organoleptic, and sensory characteristics of the Pisco obtained are within those required by the Denomination of Origin Regulation.
Digital competences in teachers of a Public University of Peru during the covid 19 pandemic
The covid 19 pandemic has led to various changes and an imminent adaptation, present in all sectors. One of them is education, by transferring the teaching-learning process from faceto-face classrooms to virtual ones, in this way university professors had to couple ICT (Information and Communication Technologies) to their methodologies, adopting or strengthening skills muchneeded digital tools in today's world. The main objective of the research was focused on determining the level of digital skills that teachers of a Public University have using a quantitative approach of non-experimental cross-sectional design and with a descriptive level. The most outstanding findings are that more than half of the teachers have a level achieved in the five dimensions of digital skills however, there is more than a third that requires strengthening the dimension of content creation, stressing that in public universities the management of virtual academic resources It was a key element to safeguard the teaching of classes in times of pandemic, limiting only the basic knowledge and management of these tools. Likewise, there is no direct relationship between the level achieved and the number of training sessions, since the less training carried out, the higher the level of achievement. Currently, promoting digital skills in all professionals, even more so in university teachers, favors interaction with the technological vanguard.
Use of Pineapple Peel as a Source of Bioactive Compounds for the Manufacture of Hydrogels
Abstract– Pineapple (Ananas comosus) is one of the most consumed fruits worldwide. Its industrial processing generates a large amount of agri-food waste, and among these, the peel represents a high percentage. Pineapple peel is a rich source of phenolic compounds with widely demonstrated antioxidant and anti-inflammatory properties. In this study, the technical feasibility of developing hydrogels with potential cosmetic applications through the incorporation of bioactive compounds extracted from pineapple peel was evaluated. Taking the above into account, different formulation tests were carried out until a product with the expected physical characteristics for a potential cosmetic topical application was found. The obtained hydrogel was synthesized using agarose as a matrix, hyaluronic acid as a crosslinker, and PEG 200-pineapple peel extract as a source of phenolic compounds. Using the FTIR spectroscopic technique, the correct cross-linking and addition of the bioactive compounds to the polymer matrix was demonstrated through significant signals at wave numbers 805, 1670, and 3500 cm-1. Finally, the release profile of the hydrogel was evaluated by HPLC-DAD, observing that the compound that exhibited a higher release rate was syringic acid. The results obtained demonstrated that the synthesis of the hydrogel added with phenolic compounds obtained from the pineapple peel was successful. This work will contribute to reducing the wastage of pineapple peel, transforming it into valuable cosmetic products.
Physicochemical characterization of water quality in the Perlamayo and Tacamache rivers, using benthic macroinvertebrates as biological indicators in the district of Chugur- Cajamarca
The general objective of this research was to determine water quality through physicochemical and sediment analysis. Also, to evaluate the benthic macroinvertebrate community through biotic indices (EPT, BMWP/Bol, BMWP/Col, ABI and CERA) in the Perlamayo and Tacamache rivers. Seven monitoring points were established according to the degree of intervention by anthropogenic activity. During the months of February (rainy season) and July (dry season), the results of the physicochemical variables were compared to Peruvian Environmental Quality Standards. According to Supreme Decree No. 004-20017-MIMAN, and Sediments compared to the Canadian ECA TEL (Threshold Effect Level). To study the relationship between macroinvertebrate communities and environmental variables. An statistical analysis was carried out to determine which pressures most affect the benthic community, using a simple regression model. The results obtained show that the distribution and composition of the benthic community is determined by the physicochemical parameters of temperature, pH, conductivity, dissolved oxygen and the concentrations of heavy metals. Six orders and 16 families of benthic macroinvertebrates were identified. Including, Leptophlebiidae, Gripopterygidae, Leptoceridae, Hydrobiosidae, Hyalellidae and Chironomidae the ETP index gave a poor water quality the BMWP/Bol and BMWP/Col indices gave a critical quality the ABI and CERA indices showed a moderate quality. In conclusion, the levels of alteration evaluated in this research are a useful tool for determining the ecological quality of the Perlamayo and Tacamache river systems. Proving to be an appropriate method for the evaluation and monitoring of other watersheds in the Cajamarca region, Peru.
Organizational Innovation, Capacities, Services and Creativity in technology-based companies. Case Study on Technology-Based Service Companies in a Developing Country
Abstract– The objective of this research is to analyze the relationship between the company's organizational innovation, the company's innovation capacity process, product innovation and the creativity of employees in a Tech based company in the Dominican Republic. A quantitative methodology was used, based on the application of a validated survey. The data were analyzed with the SPSS and PLS programs. The results show a positive influence of organizational innovation on the company's innovation capacity process, as well as on product innovation and creativity. Keywords-- innovation, process, service, creativity, business
Predictive model based on Machine Learning for the prevention of overstock in a footwear company
Sales forecasting is an essential process for companies as it allows them to plan and make appropriate decisions about their workforce, cash flow and resources. The goal of the sales forecast is to predict future sales based on sales information from the prior period. For the minority sector, it is very important as accurate forecasts can help companies maximize their investments, reduce inventory costs, increase sales and profits, and reduce risks. The most recent and effective method for forecasting future data is Machine Learning. Likewise, in the present work the logistic regression algorithm and decision tree have been applied to determine the best-selling products and categories. The logistic regression algorithm was 97% accurate, with a confusion matrix of 98.1% and 94.4% of true positives and true negatives, respectively. The accuracy metric was 97% and the completeness metric was 96%. The decision tree algorithm was 85% accurate, with a confusion matrix of 86.6% and 83% true positives and true negatives, respectively. The precision metric was 87% and the completeness metric was 84%. It was possible to determine that the ballerina category is the most sold with 84.3%, and that the spring and summer seasons are the most sold.
Measurement of the ergonomic risk awareness in workers of moving companies in Lima, Peru
In the world, non-compliance with laws on occupational risk prevention is one of the factors that threatens labor quality. The objective of this study is to determine the perceived levels of ergonomic risk in workers of moving companies working in Lima, Peru. The research is of a basic type, with a quantitative, descriptive, non-experimental design and cross-sectional approach. The population consisted of a total of 70 workers who perform moving activities in Lima and who are hired by a moving company. The instrument used was the ergonomic risk awareness questionnaire consisting of 2 dimensions: geometric ergonomics risk awareness and temporary ergonomics risk awareness, with 17 items on a Likert scale. Results show that 100% of the workers present a medium level of ergonomic risk awareness. It was also observed that 100% of the workers present a medium level of geometric ergonomics risk awareness, while 65.71% of them present a low level of temporal ergonomics risk awareness and 34.29% a medium level. Finally, we recommend that managers of moving companies train their employees on ergonomics-related topics in order to increase awareness even more. We also encourage other researchers to carry out comparable investigations to further scholarly discussion on this novel topic.
Comparative analysis of the seismic behavior of low-rise buildings with hidden and drop beams
This study presents a comparative analysis of two structural design concepts in the Ecuadorian construction market: hidden vs. drop beams. Typical structural systems used in low-rise buildings are special-moment frames, with either hidden or drop beams. The former is preferred by contractors and builders due to a notion of affordability, despite strong evidence of such system collapsing during recent earthquake events, particularly the April 2016 Ecuador earthquake (M7.8). This comparative analysis spans the mechanical, seismic, and economical aspects. A total of 32 structural models are developed and analyzed for linear and nonlinear static and dynamic response. Sixteen of these models are structures containing hidden beams, and the remaining 16 contain drop beams. The results show that structures with drop beams have no significant cost differences with hidden beams, while achieving a noticeable better structural behavior in high-risk seismic zones. The research gap that the present work aims to fill is a noticeable lack of previous studies comparing these two construction systems.
Evaluation of the acceptability of canned anchovy (Engraulis ringens) in Quinoa (Chenopodium quinoa Willd) and Kiwicha (Amaranthus caudatus L.) sauce
The objective of this research was to evaluate the acceptability of canned Anchovy in quinoa sauce (Chenopodium quinoa Willd) and Kiwicha (Amaranthus caudatus L.) as the governing liquid. The research was of the experimental type and a unifactorial design was applied. A sauce was prepared with carrot (17%), celery (7%), leek (9%), onion (4%), potato (9%), oregano (1%), salt (2), parsley (3%) and water (50%). To formulate the governing liquid, 60% of the base sauce and 40% of precooked kiwicha or quinoa grains were used. A sensory evaluation was carried out by means of the Paired Comparison preference test to 42 panelists, with greater preference for the preserves with quinoa sauce. The ideal profile based on CATA questions was evaluated for both products, finding significant differences (95% reliability) in two descriptors used. The sensory attributes essential for acceptability for canned fish with quinoa sauce and canned fish with quinoa sauce were: semi-soft fish flesh and very dark fish flesh. It is concluded that canned anchoveta in kiwicha sauce and quinoa sauce is a product with a good nutritional contribution, but the product and/or process should be improved based on the results of the CATA analysis.
Probability of occurrence of the circular economy model in a company that provides the drinking water service in Cajamarca - Peru
The management of water within a population deserves to be examined in order to transform its habitual use in a linear way towards circular processes that contribute to a better channeling and optimization of the resource. In this sense, because water is a resource of the utmost importance and with urgency in its care, the purpose of this research is to study the probability of occurrence of implementing circularity in a company that provides drinking water service in the city of Cajamarca - Peru, considering the evaluation of its three fundamental principles. The study belongs to a correlational descriptive level, applying two data collection instruments to 372 households and 120 collaborators respectively and which in turn constitute the study samples, thus also through econometric models the achievement of the objective was facilitated. The LR statistic equal to 72.57407 and 72.35393 of the Logit and Probit Models for the internal context and 6.862125 and 6.784645 for the external one, respectively, assume that the variables considered as a whole explain the models, confirming this with the high probability of occurrence (88%, 97% and 90% for both contexts) of the development of the Circular Economy in the economic unit under study realistic scenario, however, after carrying out an extensive analysis it is deduced that the current state of the company is still in the initial phase for said purpose, focusing opportunities for improvement and strengthening mainly in the second and third principles of the Circular Economy.
COMPARISON OF BIODEGRADATION YIELDS OF USED LUBRICATING OIL ADSORBED IN BENTONITE USING THE OIL EATING MICROBES BACTERIAL CONSORTIUM (Rodhococus, Pseudomonas and Bacillus)
In recent years, the planet is being affected by environmental pollution from petroleum residues such as used lubricating oils, which originate from the lubricating oil of various commercial brands used by vehicles, industrial machines, among others, which when used they lose their physical and chemical characteristics that cause contaminants in their composition such as sulfur, heavy metals, water, etc. In the present study, the performance of biodegradation of used lubricating oil will be compared, using the Oil Eating Microbes (OEM) bacterial consortium made up of three bacteria (Rhodococcus, Pseudomonas and Bacillus), which quantified the percentage of biodegradation of total hydrocarbons. of petroleum contained in the bentonite clay Tonsil 166, from two experimental tests, whose optimum result was a percentage of biodegradation of 57%, at Temperature = 35 ºC, pH = 7.0, mechanical agitation = 120 RPM, dilution of the clay contaminated with used lubricating oil in water of 1(clay):3(water).
Supply Logistics and Operations Management: A Case Study in an Agroindustrial Company in Trujillo - Peru
The research entitled "Supply logistics and operations management of Maygon de Trujillo, 2022" to obtain the professional title of Bachelor of Administration from the Antenor Orrego Private University, had as a general objective to determine the relationship that exists between supply logistics and the operations management of the company Maygon de Trujillo, in the year 2022. The type of correlational study and the non- experimental research design were used, a study was carried out through observation and compilation at 60 days (two months May and June) being this our sample and population studied, using a data collection tool such as the observation sheet, which was used from the first moment of the information. This instrument was validated through the IBM SPSS Statistics v25 program. In addition, using the Pearson correlation coefficient (0.386 -.0.816 – 0.655 – 0.973 – 0.619 – 0.653 – 0.027 – 0.027 – 0.012) it was determined that there is no correlation between both variables In the same way, the indicators of the operations management were evaluated, so we can say that they are being handled correctly and that only in the stock of merchandise, you have to be a little careful on the other hand, the indicators of operations management were also evaluated, in this I can only say that the company fulfilling its strategies and objectives, in order to grow correctly in a market that is competitive Finally, the relationship between the supply logistics indicators and the operations management indicators of the company Maygon de Trujillo, 2022, was determined, using the correlation coefficient with a significance of 0.386 - 0.816 - 0.655 - 0.973 - 0.619 - 0.653 – 0.027 – 0.027 – 0.012 for number of orders to suppliers, merchandise stock, inventory turnover (production volume, efficiency and effectiveness) concluding that there is no relationship between the first 6 indicators, therefore the variables are not related compared to the last 3 indicators that are related and therefore the two study variables.
Impact of external openness on the specialization of Peruvian fruit and vegetable exports
Trade opening policies are part of the economic development and relative performance for the productive sectors of a nation, so this research aims to establish the impact of external openness in the specialization of Peruvian fruit and vegetable exports, under theoretical foundations of role of the State in the growth of agricultural exports and growth based on exports of fruits and vegetables. All under the descriptive and quantitative methodologies reinforced with econometric models from the review of statistical sources. Among the main results was that the fruit export sector grows at annual rates of 18% while that of vegetables at 15% and that Peru's trade liberalization policies have positively affected the specialization of these sectors. In this sense, part of the specialization of the fruit and vegetable sector is due to the commercial opening strategy of the Peruvian State.
Demand for clean energy production arises worldwide from solar, wind, and water sources. The small islands are susceptible to lack of energy frequently due to global warming and constant exposure to atmospheric phenomena such as hurricanes that worsen the generation and distribution of weak energy systems. The research aimed to evaluate a rainwater harvesting system to generate energy from roof housing in urban and rural areas in Puerto Rico. It considered the current climate in Puerto Rico using precipitation data for wet and dry periods and precipitation produced by Severe weather events. The motivation is to find the feasibility of generating power using a small turbine. The system contemplates collecting all the rainwater from flat and pitched roofs using a gutter connected to a downspout at a lower roof level. Another alternative considered is the greywater used that, combined with the rainwater, maximizes the amount of water content through the turbine. A water flow sensor sits in the gutter to measure the flow rate. The sensor has a type of pinwheel to measure the quantity of liquid through it. The selection of the best turbine depends on any specific characteristic, such as the head and flow available. Other considerations, such as whether the turbine is expected to produce power under part-flow conditions, that is, when it just rains or the combination of rain and greywater, also play an essential role in the turbine selection.
Analysis of traffic accidents in the conurbation of Viña del Mar and Valparaíso using the spatial tool KDE+
This study investigates the traffic accidents between the years 2015 and 2019 due to the imprudence of the driver in the conurbation Viña del Mar y Valparaíso. Thus, critical segments of the road network were identified with the spatial analysis with the KDE+ tool. As opposed to the Kernel density estimation that generates a surface in two dimensions, KDE+ determines the statistically significant critical segments in one dimension along the road network. Results identified the road segments with high collective risk in each city. When comparing the results for both cities, Viña del Mar presents a higher collective risk than Valparaiso in the number of critical segments and the value of this risk. In addition, the majority of the critical segments are located in the downtown area of both cities. Through the results of this study, authorities may assign resources to implement new measures in the most critical segments for imprudent drivers, and thus, reduce the traffic accident rate in the conurbation.
Exploration, development and exploitation of mining and metallurgical minerals in Peru
The purpose of this article was to show the main companies that are currently in the metallurgical mining exploration, development and exploitation stage of Peru. Each stage of these processes was analyzed in detail in the years 2020, 2021 and 2022. The type of research was non-experimental, descriptive, because the data was analyzed and described, evaluating its capital investment at each stage, as a result it was obtained that in 2021, the mining company that made the most investment in exploration was Company de Minas Buenaventura S.A with a total of US$30.8 million, in terms of development and preparation, in 2021 an amount of US$592 million was reported, registering a growth of 52.0% compared to the figure registered in 2020. Lastly, in the month of June 2022, a total of 682 mining companies carries out metallic and non-metallic exploitation works in Peru.
Main gold mining companies using cyanidation leaching processes in Peru
The objective of the study was to analyze the cyanidation leaching processes of the companies with the highest gold production in Peru. The approach was descriptive, in which bibliographic records were searched and retrieved from different relevant and reliable sources of information, which were analyzed using graphs and tables to classify the information. It was obtained that the main gold producing companies that used the cyanidation leaching process in 2021 were: Compañía Minera Poderosa S.A, Minera Yanacocha S.R.L., Minera Aurífera Retamas S.A., Consorcio Minero Horizonte S.A., Compañía Minera Ares S.A.C. and Shahuindo S.A.C. with 856 003 552 723 528 537 531 027 452 088 and 485 941 grams of fine gold respectively also the highest plant capacity was reported by Minera Yanacocha S.R.L. with 87 000 MT/day on the other hand Compañía Minera Poderosa S.A. reported the highest head grade and recovery of 17.89 g/t Au and 91.84 % respectively all the mining companies identified use the cyanide leaching process and most of them use the Merrill Crowe process for gold precipitation. It was concluded that Compañía Minera Poderosa is the largest gold producer at national level, and reached its highest production in 2019 being 314 thousand oz of Au, also in that year it obtained its highest head grade which was 19.17 g/t Au.
The research study focused on the advancement of mineral flotation. This topic has gained great importance in the mining industry since it allows the recovery of the mineral, thus increasing production and profitability. The purpose of this study is to analyze, detail and publish the development of mineral flotation. The methodology is to carry out an analysis of bibliographic reviews of scientific articles taken from the Scopus database, ScienceDirect, theses, posters, etc. Reviewed bibliography of the article Innovations in mineral fleet systems have grown rapidly in recent decades, such as froth flotation, columnar flotation cells, fine and coarse particle flotation, and nanobubble flotation. It was concluded that the development of mineral flotation is very important because it has a positive effect on the profitability of the process, since it allows obtaining a high percentage of minerals.
Environmental impacts in the commercialization of minerals
The objective of this work is to identify the impacts caused by the commercialization of minerals. The methodology used was based on a bibliographic search, identifying articles, books, web pages, etc. These were analyzed using critical reading techniques. The results indicate that social conflicts are caused by the environmental impacts generated by mining, since in the process of obtaining concentrates and their subsequent refining they produce greenhouse gas emissions, wastewater and mine tailings, also when transporting the concentrate there are losses of material that impact the air, soil, water and society. It is concluded that the commercialization of minerals produces environmental and social impacts, mainly in the areas near the mining project, causing damage to the environment and people's health in addition, the processing and refining stage generates emissions and toxic effluents that damage the environment. Moreover, when transporting concentrates, a 0.2% loss is generated, which spreads in the form of dust to the surrounding areas, causing great damage to the flora and fauna and even to the seabed.
Technological advancement of equipment for the comminution of minerals
The objective of the present investigation was to carry out a systematic search for information about the technological advancement of equipment for the comminution of minerals. The study methodology was descriptive supported by the bibliographic review of the information. Therefore, it was concluded that the crushing stage involves equipment that breaks and reduces the volume of the rock through vibratory movements, in order to obtain a finer material, it should be noted that in recent decades equipment has been manufactured that consumes less energy and enable higher production at lower cost such as the Lokotrack LT200HP mobile cone crusher, the MKIII, the MX Multi-Action cone crushers and the NextGen crusher. On the other hand, in the grinding stage the reduction of the material is greater and is carried out using mills or rotating equipment in two ways: SAG grinding and conventional grinding, however, today there are new technologies in mills such as HIGmill™ which has 10% less energy savings compared to IsaMill™, multi-shaft mill which can reduce ore from F80 = 25mm to P80 = 300 microns and Hicom mills which are applied for fine and ultrafine micron grinding.
Improvement of organizational processes based on business process management in service companies
The cleaning sector has become a key factor for the continuity of business operations, much more so in a pandemic context. For this reason, the objective of this research has been to propose a model for the improvement of organizational processes in the General Services Company All Master S.R.L. Previous studies indicate that cleaning actions have become a daily habit, generating broad growth in different markets around the world. The case study shows that the application of the process improvement model designed using business process management (BPM), could reduce operating costs by 87.13% and service execution time by 86.94%, costs by 36.75% and 31.58 % the attention time for claims, and 64% the execution time of the contracting process. As for the research, it is descriptive and cross-sectional, using an observation guide and a questionnaire as instruments. The results show the measurement of the processes as they are executed using the balanced scorecard of the Balanced ScoreCard (BSC) management system, the analysis of the results and the proposal of activities for the improvement of the prioritized processes such as contracting, documentary control, claims management, tenders and execution of the service
Identification of a suitable NLP model for the detection of symptoms mentioned in textual conversations of Covid-19 infected persons
In March 2020, the World Health Organization (WHO) declared Covid-19 disease as a global pan-demic. Therefore, the need for reliable information arose, so several Virtual Health Assistants emerged to provide information to the public to teach the population how to prevent or cope with the Covid-19 Alpha variant infection, but progressively emerged the Beta, Delta, Omicron variants, with different symptomatology, which triggered new waves of infections and deaths in the world. For this reason, the present study promoted the creation of a NLP (Natural Language Processing) model to analyze the experiences of infected people in Guayaquil and to detect the predominant symptoms mentioned in their textual conversations, For this purpose, the Quantitative Methodology was used, using surveys through the Google Colab form, reaching 2873 people in the city of Guayaquil who had and overcame the Covid-19, the Qualitative Methodology was used, using interviews to NLP experts, which allowed corroborating the classifiers suggested in this type of software, Thus, the corpus of textual conversations was generated, 5 different types of NLP models were created in Python, based on classifier algorithms Random Forest, Dense Neural Network (DNN), and Long-Short Term Memory (LSTM), the results were evaluated using metrics such as Accuracy, Precision, Recall, and AUC, finding that the model based on Dense Neural Network DNN obtained the highest metrics.
Incorporation of Rice Husk Ash for the Improvement of Mechanical Properties of Clay Soils for the Paving of the Santa Rosa de Combayo Highway, Cajamarca
The present investigation has as a general objective to determine the influence of the addition of rice husk ash on the mechanical properties of clayey soils for paving the Santa Rosa de Combayo highway. Regarding the methodology, a quantitative approach with an experimental design is considered, which has a population of 10 km that make up the Santa Rosa de Combayo Highway and as a study sample, a pit is analyzed in relation to a 1 km section in the area of study. The results of the C-01 soil sample, both for the one corresponding to the natural state and for those added, are a CL soil classification by SUCS and A-7-6 (12) by AASHTO. The standard clayey soil sample obtained a CBR at 95% of the Maximum Dry Density, a value of 16.40% and with the addition of 7.5% and 8.5% rice husk ash, it was possible to obtain CBR values of 36% and 34 % respectively. Finally, it is concluded that the optimal percentage of incorporation of rice husk ash is 7.5% in clayey soils of the Santa Rosa de Combayo highway, Cajamarca.
Rehabilitation Methods for Deformed Rigid Pavements Based on Research and Characterization - Cajamarca
This research work was carried out with the purpose of characterizing the treatment methods for rigid pavements deterioration based on research already carried out for the city of Cajamarca, a non-experimental design was applied in which 19 investigations were compiled between scientific articles, theses and books, from which data such as the serviceability index structural number, cost per m², useful life, required thicknesses, dimensions of the structural parts of the road, evaluation and current state of the roads by PCI method, VIZIR were taken., among others. Two types of records were used as data collection instruments, in order to process the data and to carry out the statistical study, the Excel program was used. The results show that the characteristics found in the investigations such as the loss of serviceability, structural numbers, cost, useful life time, required thicknesses, are very important because when comparing them with each other and seeing the benefits and cons, the best method of maintenance can be defined. treatment that we can use for the rehabilitation of rigid pavements. Therefore, it is concluded that the best method of treatment of deteriorated rigid pavements is the overlay of reinforcements since it has the best characteristics that are the cost of rehabilitation per m² as it is economical, the useful life time that is added to the paving, the structural characteristics of the payment such as the resistance it acquires, the serviceability and the conformity of the user, and it is the most feasible to carry out in Cajamarca, all this
Influence of social networks on the brand positioning of Linda Shoes, Trujillo-Peru
The objective of this research was to determine the influence of social networks on the brand positioning of the Linda Shoes company in the city of Trujillo, 2022. The research had a quantitative approach, with a non-experimental design methodology of a cross-sectional and correlational type. The finite population consisted of 2134 clients and the sample of 237 clients considering women over 15 years old who reside in Trujillo, manage social networks, and have bought more than 2 times online this year. The instrument used was the Likert scale survey-questionnaire, where Cronbach's Alpha was obtained for social networks (0.922) and brand positioning (0.964). The results showed a moderate positive relationship with a Spearman Rho (0,505), with a Chi-square coefficient (x²=73.286) and the significance test with a (p .01). It was concluded that social media significantly influence the brand positioning of Linda Shoes in the city of Trujillo.
Reflecting on how university rankings measure undergraduate academic excellence
University rankings have emerged in recent years as the preferred indicator to compare somehow the quality of higher education institutions and underline the tough competition for attracting resources and students, not to mention their impact on the media. The figures from these rankings show that research has become one of the main assets of the university system. Since undergraduate instruction focuses on professional education, we reflect on whether undergraduate academic excellence should rely only on research activity or also on teaching and learning quality in terms of competency achievement and learning outcomes. Hence the latter should also be considered as a relevant feature within higher education rankings. Accreditation criteria look for quality education evidence. Surprisingly, the criteria employed by accreditation agencies for undergraduate programs lie far from the composite indexes used by ranking agencies to measure quality outcomes. In this study, we have found controversies and disagreements in the rankings. We influence and deepen what other publications support, concerning indicators that do not agree. With simple statistical calculations, we show the inconsistency in some rankings, in alignment with what other publications state. This work overviews some national and international relevant rankings for Latin American universities, analyzes their criteria, and compares them. It also gives an insight into some dimensions proper for assessing quality in undergraduate higher education institutions (HEIs). Finally, this study suggests a group of quality indicators suitable for elaborating undergraduate education rankings. We conclude that HEIs should open a debate on the appropriate dimensions and criteria to measure undergraduate instruction quality in universities. Such dimensions also include features such as the impact on human progress, transversal competences, global competencies, and commitment to sustainability.
In the current labor context, employability is a tool that is important for graduates who enter the labor sector today and have to face a number of challenges. Where it stands out, a decline in job opportunities, rapidly changing technology, and lifelong learning. The literature explains the importance of non-disciplinary skills in engineering training and that they play a substantial role in employability. Hence, this study aims to analyze the degree of development of employability skills in students/graduates of five engineering programs at a public higher education institution. A total of 505 people participated in the study, including students in their last semesters and graduates of the last two years. A quantitative research methodology was used, with a cross-sectional non-experimental design and a correlational scope. Data analysis was done with inferential statistics. It was possible to demonstrate that there are significant differences in the training of engineers from the different programs of the same university in terms of employability and this, in turn, depends on three factors such as personal strengths that increase employment potential self-perceived employment opportunities and professional well-being as the realization of employment potential. For this, it is necessary to make Higher Education Institutions (HEIs) point out the need to participate in activities that improve undergraduate education and the curriculum to enhance the employability of engineers.
Comparison of the geometric design of pavements using the traditional and virtual design and construction methodology
The purpose of this work was to compare the design and modeling of Pachacutec, Libertad and Eucaliptos streets using the traditional methodology and the Virtual Design and Construction - Building Information Modeling (VDC-BIM) methodology. The descriptive research had as a unit of study the road project of the mentioned streets. Likewise, the design and modeling of the roads was carried out, following the process of each methodology and analyzing each procedure based on the criteria of visual management. The results show that the use of the VDC-BIM methodology adds a new value to the exhibition of the project, since it presented the information digitally being the new model more understandable and accessible to the imagination.
Social Economic Housing: Steel Frame in the rural area of Cajamarca
The general objective of this investigation was to determine if the Steel Frame construction system is economical, sustainable and feasible for housing in the rural area of ​​the city of Cajamarca. The research corresponds to the applied type, with a non-experimental, cross-sectional and descriptive design. As a population, the rural area of ​​the city of Cajamarca was taken and a 200 m2 plot of land was taken as a sample. For the research development, a house was designed that meets the minimum architectural requirements, to then be structurally analyzed through mathematical modeling, and finally, with the analysis of unit prices, the cost per m2 built was determined. As the results, the economic-social housing obtained a covered area of ​​63 m2. The drifts of the structure were 0.00235 in the X direction, and 0.00025 in the Y direction, showing that in none of the cases did it exceed the limit provided in E.030. It was determined that the cost per m2 of the house is S/. 1,445.52, being up to 66.3% cheaper than a masonry house. It is concluded that the Steel Frame system is feasible as an economic and sustainable solution for the population that does not have the resources for conventional housing.
Application of business intelligence to improve decision-making in the marketing of hardware companies in Peru
The objective of this research article is to make a proposal to support decision-making within the sales area in hardware companies. The company La Libertad S.R.L was taken as a case study, applying the use of the business intelligence tool as an effective and efficient solution. For this article, points in the design of the DataMart have been considered, such as the management and analysis in a strategic way in the operational part of the company's sales area based on the types of products with the highest valuation and / or sale. Currently in the company La Libertad S.R.L., in the sales area, it has a transactional system that performs processes such as the registration of categories, customers, districts, employees, orders, suppliers, stores. This system that goes hand in hand with the database is feasible for the company, however there is no form of visibility of complete movements for the manager of the sales area, either from the current year or from previous years, which is of important interest. for the planning of future projects, and in case of wanting to carry out a project, they must handle visible data to support the marketing and production area. The article aims to develop a DataMart as a business intelligence tool which is a decision support service for Peruvian hardware companies that need to plan their activities and in turn reduce the time it takes to generate reports.
BRANDING AND POSITIONING OF AN INSTITUTE SENIOR TECHNICIAN
The purpose of this study was to establish the relationship between branding and positioning in a institute of higher education of Piura in a sample of 100 students of the first cycle of the semester 2022 - I, belonging to culinary career. The study followed a methodology applied, quantitative, cross-sectional and correlational. The data obtained were reflected in descriptive and inferential tables, the inferential data analyzed using the decision criteria allowed to contrast the proposed hypotheses. The results of the study revealed a positive relationship - moderate and significant between the study variables. From this it is concluded that all the strategies developed to create and build the brand are associated with its positioning.
Appropriation of Information Technologies during remote university education in Latin America
The use of new information and communication technologies (ICTs) has revolutionized not only the ways of living, but also the way of teaching and learning, even more so in the pandemic era, in which confinement led to to the university to a 100% virtual methodology. The objective of this research is to synthesize the evidence on the use of ICTs for remote education in Latin American universities during the Covid-19 pandemic through the systematic review of primary articles indexed in journals such as Scopus, Pro Quest, Redalyc, and others, published between March 2020 and March 2022. The method includes the use of the PRISMA statement, and an explicit flowchart for the selection of articles including inclusion and exclusion criteria, using a keyword search algorithm. Among the results, it was found that 36% of investigations report the use of virtual environments such as institutional platforms or Google Classroom for the development of synchronous and asynchronous classes, 27% developed innovation in educational technology with proposals such as chatbot, teaching telepresence and communication tools. massive evaluation, and 18.5% share experiences in the use of open educational resources, especially gamification tools, and the use of mobile devices, highlighting the use of WhatsApp and Telegram for communication. The country that shows the greatest experiences is Mexico. It is concluded that in the face of the untimely change in modality, and despite situations of uncertainty, technological limitations, coverage and lack of training, Latin American universities evidenced the appropriation of technological tools for their pedagogical practice, during remote education. The findings led us to reflect on the challenges that virtual education represents, in the context of a new normality, in a region where the connectivity gap still represents a limitation
Technological Gap and Academic Performance in Times of the Covid-19 Pandemic: Systematic Review
The existing technological gap in the Covid 19 pandemic stage, shows that relevant aspects in education are sharpening, such as learning methodologies, processes and new technologies, which were of limited development before the year 2020, in such a way, that the objective of the research is to describe the existing technological gap and the academic performance of university students from 2010 to 2021. This article is the result of a systematic review process of authors, focused on the university environment. The findings show that despite the accentuated technological gap that is generated in times of pandemic, the academic performance of students was the same or better, however, connectivity in educational platforms and internet access has been an inconvenience that has been It manifests in a greater proportion according to socioeconomic level and geographical areas, however, the teaching-learning process had favorable and unfavorable fluctuations, leaving a field pending analysis in future research
CORPORATE SOCIAL RESPONSIBILITY AND JOB SATISFACTION IN A SHOE TRADING COMPANY
The general objective of this research is to determine the relationship between corporate social responsibility and job satisfaction in the marketing company of CALZADOS MARISOL S.A.C. in the city of Trujillo, 2022. It had a descriptive and correlational methodology, as validated instruments, a questionnaire was used, for data analysis the Central Tendency, Dispersion and Shape Measures were used. In addition, it was carried out with Excel and SPSS V.27 for data processing. The sample is 38 collaborators. The main result was obtained in the analysis of the Pearson correlation coefficient of Corporate Social Responsibility and Job Satisfaction takes a value of 0.716, so there is a direct and determining relationship between the variables analyzed, by a 99% significant test. trusted. And it is concluded that it is advisable to strengthen CSR in the company since from what has been studied it is proven that it will bring future joys for the company. Likewise, the economic references such as bonuses, incentives, gratuities, as well as the faithful fulfillment of the payments on the dates stipulated in their contracts directly infers the job satisfaction of the company's employees as long as it does not affect the lasting profitability of the organization over time.
ORGANIZATIONAL BEHAVIOR AND LABOR PRODUCTIVITY IN A COMPANY GASTRONOMIC
At present, all companies consider the importance of human resources, because these are who will carry out the activities of the companies thus fulfilling its stated objectives and goals. In addition, human resources are those who participate in productivity of every company, in these times of enormous changes, the companies seek information and methods for improvement constant, which will allow the company to be more competitive, and efficiently use its resources. In order to determine the relationship one of the strategies that affects productivity, the proposed objective: to determine the relationship between the behavior organization and productivity. as well as find the relationship of organizational behavior and motivation, job satisfaction, staff competence and training and personal development. The sample consisted of 15 collaborators, provided them with 2 previously validated instruments statistically and by expert judgment. It was proposed as a type research, to the descriptive correlational cut cross. The results that were reached were that, yes there is a relationship between organizational behavior and labor productivity, according to the Spearman coefficient = .840**. It was also found that behavior organization is perfectly related to motivation and job satisfaction (r=1), the results showed that the relationship between organizational behavior and competence of the personnel have a relationship of .792**. finally confirmed that there is no relationship between organizational behavior and training and staff development. (r=-.103). it is concluded that the behavior in the organization is closely related to employee productivity.
Sustainable city: perspectives and challenges. A systematic review between 2012 - 2022
The objective of this systematic review was to analyze the set of scientific articles of a theoretical and empirical nature on the sustainable city in the last 10 years. From the systematization of the databases, we obtained: Scopus 721 articles, Redalyc 882 articles, Dialnet 623 articles, Scielo 673 articles, ProQuest 886 articles and Ebsco 941 articles and 50 scientific articles were selected. The inclusion criteria were the last 10 years, scientific articles, language, variable and open access. It is concluded that it is relevant to evaluate the social, economic and environmental impacts, seeking to ensure that the present and future generations can meet their needs. On the other hand, there is no model to follow to achieve a sustainable city. A sustainable city is a city resilient to the adverse impacts of climate change that identifies and reduces the vulnerabilities of its population and increases adaptive capacity, as well as optimally manages disaster risks.
Design Thinking Capabilities in the STEAM Education: A bibliometric Analysis
The work aimed to explore the scientific production and the thematic evolution of design thinking applied to education in STEAM. For this, the bibliometric approach was used to quantify the impact under the analysis of scientific mapping under a longitudinal framework with SciMAT. The results show a stability index of the research field of 58%, showing its gradual consolidation. This field emphasizes the topics of computational thinking, curriculum, educational innovation, human behavior in design, libraries, problem-solving, requirement engineering, system design thinking, systems engineering competencies, and user-centered design. The themes human behavior in design, and requirement engineering are the driving themes of the specialty for the period 2019-2022. In the same way, computational thinking and curriculum appears as a basic and transversal theme for the period (2019-2022), very fundamental in the STEAM areas. Therefore, the identified themes focus on conscious human behavior, interaction, and emotional involvement at the same time. Meanwhile, there is still limited discussion about human behavior related to STEAM areas.
International business and the development of innovation through business culture
Innovation and cultural differences are two topics frequently study for international business. However, the link between the three concepts has been unusual. Does culture affect the way international trade stimulates innovation? This descriptive study, based on a compilation of research published between 1980 and 2020, seeks to theoretically describe the relationship between international business and the development of innovation through national culture. As a pragmatic link, the Hofstede dimensions and the Doing Business and Global Innovation Index are presented. The results indicate that international business provides strong incentives for the development of innovation. Likewise, current academic trends identify four combinations of cultural archetypes that energize the ecosystem of international business and innovation. Thus, the study concludes that culture has a double impact on the relationship between international business and innovation. On the one hand, there are cultural archetypes that promote the advancement of foreign trade and that simultaneously stimulate the capacity for innovation. On the other hand, such archetypes can determine the degree to which the incentives provided by international trade are absorbed and produce innovation.
Digital educational resources as a mediating tool in the educational process. A review of the literature
Digital educational resources (RED) or ICTs have been used as a strategy to improve teaching-learning processes in students, because according to the results of research, these digital educational resources have a significant impact on the learning of any area of knowledge, likewise these manage to motivate students even more than traditional teaching methods. To work on the subject, a systematic literature review was carried out with the aim of showing the results of a literature review, in which a synthesis of research related to digital educational resources was carried out, five databases were used to perform the search. through which 85 investigations were obtained and to which a detailed analysis is carried out, with which the results of how digital educational resources can contribute to the knowledge and development of skills in the different areas of knowledge are obtained. So it can be said that ICT or RED are tools that help close the gap in the teaching-learning process.
Innovation and entrepreneurship: driving economic growth in Colombia
The objective of this paper is to analyze innovation and entrepreneurship as drivers of economic growth in Colombia from a reflective perspective. Considering the challenges of the international competitive environment, a theoretical recognition of concepts and associated systems was made, and a systematized review of articles, theses and research associated with the topic addressed was carried out. The theoretical review revealed that Colombia is lagging in its levels of competitiveness and economic growth compared to other countries whose economies are based on knowledge, which is reflected in slow growth and low employability of companies. It was concluded that the creation of an enabling environment for innovation and entrepreneurship requires clear and credible laws and policies, accessible investments and guarantees, support and opportunities for all, and additionally the promotion of competition and research.
Zuro de Zea Mays: an alternative in the removal of heavy metals
The influence of the retention time and proportion of Zea mays corn cob in the acid mine drainage for the total removal of iron and lead from the Hualgayoc-Arascorgue river was studied, focusing on the effectiveness of bioadsorption using Zea Mays corn cob as an adsorbent material for removing iron and lead from the residual water of the Hualgayoc-Arascorgue river. The research was of an explanatory-experimental and quantitative nature, using 30 liters of residual water and 1,350 kg of Zea mays corn cob as a sample. The results indicated that the retention time did not have a significant influence on lead removal, but there was an influence on iron removal in relation to the proportion of Zea mays corn cob used. It is recommended to conduct a kinetics study of adsorption before any research related to metal bioadsorption, and to promote the implementation of clean technologies for environmental conservation.
Prediction of fresh milk quality by using Artificial Neural Network and Multivariate Regression
The objective of this research was to compare the best structure of a Neural Network (ANN) with a multivariate nonlinear regression model (MNLR) to predict the physicochemical quality parameters of milk. To create a predictor model for the livestock sector, 3 input and 6 output variables were used. To achieve this, a Feedforward ANN with Backpropagation training algorithms was applied. For the models, the Matlab 2020a software was used. The lowest mean absolute deviation (MAD) was found to be 0.00715952, corresponding to a Neural Network with 2 hidden layers (18 and 19), with Tansig and log sig type function, respectively. MNLR models had R2 values greater than 0.9. Cross-Validation with 10 interactions was used for this purpose. For comparison, a Duncan test was used where it was found that there are no statistically significant differences between the real sample, the MNLR, and the ANN, with a 95.0% confidence level.
Structural Characterization of Factors for the Digital Training of Public Primary School Teachers: The Peruvian Case
The aim of this study was to determine the key factors of the digital teacher training system in public primary schools, which aims to improve teachers’ digital competence. Digital competence is defined as the creative, critical, and safe use of Information and Communication Technologies (ICT). Worldwide, several countries use within their digital training programs institutional frameworks such as the European Framework for the Digital Competence of Educators, the International Society for Technology in Education (ISTE) and/or UNESCO. In Peru, the Framework for Good Teaching Performance, a guiding document for public teachers, only encourages its use according to the purpose of the learning session. In 2020, the Closing Digital Divide strategy revealed that 81% of public teachers required training to integrate technologies into their pedagogical practice. This study used structural analysis to analyse key factors in teachers’ training to improve their digital competence. Results showed that among the key factors of the training system were the differentiated accompaniment in the use of ICT, the courses based on the participants’ profile, the blended learning model, the technological infrastructure within the institutions and the creation of digital competence within the Framework of Teaching Performance. The results provide support to provide guidance to create the required digital training for teachers. Future research should evaluate digital teacher training policies, as well as the role of the school leaders in the implementation of ICT.
Brand recognition management. Approaches and perspectives. A systematic review from 2012-2022
The objective of this systematic review was to analyze theoretical and empirical studies on how to connect with the customer's mind, achieving a brand positioning with respect to its competitors, thus improving brand recognition and identity. The sources of information are the databases Ebsco, Scopus, Dialnet, ProQuest, Redalyc and Scielo, the criteria for eligibility were: articles with related research subtopics, period of the last 10 years and evaluated by experts therefore, those that did not meet these criteria were excluded. As a result, 50 effective articles were obtained in which brand positioning studies were carried out and branding strategies were applied. The results show that the degree of awareness of brand recognition is high. However, the degree of application is low, due to the fact that companies do not apply branding strategies correctly. Finally, the main focus of brand awareness is to study consumer behavior with the perspective of customer identification with the brand in the companies.
APPLICATION OF THE FLOTATION FOR THE EVALUATION OF THE LEACHING OF GOLD IN THE LEACHING CIRCUIT BY CYANIDATION
Laboratory tests using sodium cyanide leaching and flotation techniques were performed to determine how to extract the most Gold from a sulphide ore with around 0.2% copper content. Since the sulfide ore was found in the transition zone between oxidized ore and sulfides, it was proposed to carry out flotation to recover the greatest amount of copper and thus obtain a tailing with a lower copper content that is below 0.1%. Two parallel tests were proposed to evaluate the extraction of gold in the cyanide leaching circuit, test 1 consists of carrying out a baseline leaching (mine mineral) and test 2 starts with flotation and tail (tailings) from flotation perform cyanide leaching. NaCN leaching tests were performed on the mineral, obtaining a final extraction of 74.52%. A serial test was also carried out that consisted of differential flotation to remove the copper present and then the remnant of the mineral was leached with NaCN, obtaining a total gold extraction of 84.37%.
Semiotics and audiovisual narrative in animated series and films. A systematic review of the literature between 2012 and 2022
Animation is an ideal resource for storytelling, and in the audiovisual world it allows transmitting messages and emotions beyond the senses. Therefore, the present research aims to analyze the research of the last ten years on semiotics and audiovisual narrative in animated series and films. To achieve this, it conducted a systematic review (SLR) of scientific articles in the Scopus, EBSCO, ScienceDirect and ProQuest databases, in the Dialnet and Redalyc repositories, and the Google Scholar search engine. After the inclusion and exclusion process, which contemplated criteria such as language, field of study and year of publication, 41 research papers published between 2012 and 2022 were found. Among the main results, it stands out that most of the studies belong to Spain and that there was an increase in articles between 2018 and 2021. Regarding limitations, the lack of publications in Latin America and languages other than English and Spanish were emphasized. In conclusion, semiotics and audiovisual narrative in animation is a moderately studied field and its importance is evidenced by the deep research of the authors.
Prediction Model for Peruvian cocoa production using Deep Learning and Long Short-Term Memory techniques
Cocoa is an essential product of Peruvian agriculture since a large number of families depend on it. The International Cocoa Organization has suggested carrying out strategies in order to avoid overproduction and minimize the price crisis. In the research work, the development of a prediction model for the production of Peruvian cocoa was carried out using the deep learning and lstm techniques, since this will allow estimating production and avoiding the devaluation of the sale price. The PMBOK methodology was used, which has 5 phases, it will also allow control over the risks that may affect the project and greater efficiency in the quality of deliverables. The prediction model for cocoa production was made using a python programming language and the TensorFlow library, which makes it possible to implement models based on deep learning in an easier and faster way. It can be concluded that the prediction model helps to estimate the production of Peruvian cocoa using deep learning and lstm techniques with an accuracy percentage of 99.6%.
Design of a prototype system for real-time water quality monitoring in tilapia farms using IoT technology
Aquaculture worldwide is one of the main productive activities, representing a great source of food and work for society in general, which is why it is important to be constantly monitoring those elements that help the health, growth and quality of aquatic species, regardless of the specific aquaculture system used, one of these being water quality. For this reason it is necessary to provide or have a solution that allows the digitization or automation of real-time monitoring of the environmental parameters involved in the development of these species and at the same time facilitates small and medium producers to have or obtain a technological solution with lower technological investments. In this work we present the design of a water quality monitoring system, light and low cost, with the possibility of managing different sensors using IoT tools and technologies, for communication through TCP/IP and collection and storage in a NoSQL database
Evaluation and efficiency of public spending on R+D+i in science and technological innovation pro-grams administered by Concytec of Peru
The research analyzes, based on efficiency, the execution of public spending in the programs of the National Council of Science, Technology and Technological Innovation (Concytec) of Peru contrasting the effect of public investment in R D in relation to GDP and the administration of financial resources allocated in research projects managed by the Fondecyt. Employability employs a cross-sectional mixed approach The main results were determined: lack of efficiency in the allocation of financial resources, the inadequate construction of a transversal policy of the Peruvian State for innovation and scientific development as well as the non-use of information systems for decision-making and management of indicators in innovation programs.
Position Control for a Solar Panel Implemented with a Predictive Control Algorithm.
This article describes the development and implementation of a control system applied to a photovoltaic panel. The objective of the controller is the automatic tracking of sunlight, for which controllers based on PID and MPC are implemented. For the experimental development, a photovoltaic panel, a personal computer and an ARDUINO card were used as a communication interface. For the simulation, we worked in the environment of the MATLAB and SIMULINK platform. In the case of the analysis of the response of the MPC, three scenarios were used. Comparing the results of the PID vs MPC, it can be stated that better follow-up responses were achieved in the case of the control based on the MPC model.
Position Control Algorithms of Photovoltaic Panels with Respect to the Incidence of Sunlight
This paper shows the design and operation of a one-axis sun position tracker prototype for use in energy harvesting systems with photovoltaic panels. The prototype design is characterized by using low-cost control elements that allow applying the control algorithms in a simple way using Matlab/Simulink for the development and execution of the PID, FUZZY and PREDICTIVE control algorithms, to evaluate their operation independently in the sun position follower prototype. The control parameters to be considered for the evaluation are the percentage over level, the time and the error in steady state. An external light is used to simulate sunlight, making it possible to show that the predictive controller obtains the best results compared to the other two controllers used.
Modelo para incrementar la rentabilidad de micro y pequeñas empresas mediante la transformación digital de los canales de contacto utilizando Sales Funnels y Ventas Adaptativas en la era post Covid-19.
Commercial companies carry out activities in which goods or services are exchanged for money that allows them to keep operating when recovering your investment to continue producing goods or services, thus promoting the growth of the economy This process fuels the generation of employment, satisfaction of consumer needs and product development and company services. Of the total number of organizations businesses that operate in the world 90% are micro, small and medium-sized enterprises (MSMEs), and in the case Peruvian the importance of this type of company is still greater since they represent 85% of employment and they contribute to 84% of the Gross Domestic Product (GDP). In specify the micro and small companies represent 95.8 % of companies in the country. However, despite his importance only 10% of these companies achieve about passing the 10-month operation period, due to its low level of competitiveness. There are several factors that affect this performance, however, it has been identified that 90% of companies consider that in order to operate must adequately develop marketing processes and sales supported in digital businesses. To get over said deficiencies, it has been established as the main objective in the following investigation implement an agile model and efficient based on customer segmentation and the adaptive sales generation using the Digital Transformation with the aim of improving sales, reduce customer service times, improve customer acquisition and development efficient management processes.
Influence of the addition of pozzolan on the porosity and compressive strength of concrete
Abstract-The interaction of concrete with pozzolan is characterized by the chemical reactions between the cement compounds and silica from pozzolan, these reactions generate a change inside the concrete matrix. The objective of the study was to evaluate the influence of pozzolan in the porosity and resistance to compression of concrete. In the experimental phase 48 samples were made with a relation w/c of 0.45 with additions of 0, 10, 15, 20% of pozzolan compression essays (ASTM C39) and the quantity of empty spaces (ASTM C642) essays were carried out. The results were compared to the control samples, finding that in all the cases the resistance to compression determined at 28 days increased in 15, 20 and 13% with respect to the control samples. Additionally, it was determined that the higher values of resistance to compression were obtained with 15% of pozzolan. Regarding the porosity, it was observed that the pozzolan effect is notorious at 56 days, where the values of porosity decreased in all the cases for the pozzolan content of 10, 15 and 20% respectively. From the results obtained it can be concluded that the pozzolan reactions affect the porosity, decreasing it up to 10% after 56 days, and the best effects were found with 15% of pozzolan. Likewise, trough the use of categorical linear regression models it was demonstrated that the porosity significatively and directly influences the resistance to compression obtaining a correlation coefficient R=0.892.
Measurement of the level of knowledge of augmented reality in regular basic education teachers of the computer course in Metropolitan Lima after the first year of the health emergency caused by the COVID-19 virus
Augmented reality offers an innovative platform for education as it allows students and teachers a meaningful learning experience, benefiting teachers by allowing them to create interactive content that can be accessed by students from anywhere. The objective was to determine the level of knowledge of augmented reality (and its dimensions) in regular basic education teachers of the computer course in Metropolitan Lima after the first year of the health emergency caused by the COVID-19 virus. As for the methodology, the approach was quantitative, cross-sectional and with a non-experimental design. The sample consisted of 58 teachers working in regular basic education institutions in Metropolitan Lima, in charge of computer courses. A questionnaire was used to measure knowledge about AR in the teaching-learning process. The instrument consists of 3 dimensions: experience with technology, teaching practice with ICT and educational experience. This instrument had 15 items and was validated by three experts it is highly reliable (Cronbach's alpha = 0.8). As a result, knowledge about augmented reality was as follows: 48.3% of the respondents are at high level, 22.4% at medium level, and 29.3% at low level. The results obtained show that teachers have a high level of knowledge of augmented reality in most cases, but its application in the classroom is not widespread due to some factors (which could be professional, personal or specialized training), which could limit the use of technological resources in their sessions. It is concluded that AR allows teachers to teach with greater interactivity, improves student information retention, and provides memorable educational experiences.
Identification of failures in flexible pavement using Machine Learning, Cajamarca 2022
For many years, the detection of failures in flexible pavement was developed with traditional methods such as: PCI, VIZIR and observation, however, today new technologies such as the use of AI (artificial intelligence) have been developed due to their efficiency and precision. through deep learning (Machine Learning), which is related to image processing, to achieve object detection and its respective analysis. The purpose of the research is to use AI, through the YoloV5 software to fulfill this purpose, taking the Evitamiento Sur road as the study area, in the section between the streets Óvalo Musical (Jr. Atahualpa) and Avenida Industrial, this has a scope Applicative and of an experimental nature, a non-probabilistic sample was shown, based on the two most common faults present in flexible pavement: crocodile and fissure.
Quiliche Marín, Lizeth Karina del Rosario
E-Business Model Proposal in Human Talent Management in a company in the commercial sector in Trujillo-Peru, 2022
The objective of this paper was to describe the business model of the company Ecreea Company S.A.C. of Trujillo and identify the concepts of E-business that allow proposing an online business to improve the value offer. The processes that the company has were announced and those that are around the Human Talent Management area were chosen to improve the productivity of its employees and the work environment in the organization, which is why the design of a digital platform that serves as support in terms of training is proposed, Payroll, staff turnover, etc., whose purpose is to align employees with the objectives of the company. Finally, the current situation of the company was detailed, both internally and externally, the proposed business model, the technological infrastructure was also developed along with the design of the web solution and the E-business improvement plan based on said solution.
IMPLEMENTACION DE CENIZA DE CAÑA DE AZUCAR EN EL DESARROLLO DE MORTEROS DE REPARACION VIAL IN SITU
Currently in Ecuador, one of the biggest problems in terms of the road system is the condition and maintenance of roads, where the consequences of these imperfections for the population are notorious. The objective of this project is to develop a mortar based on sugar cane bagasse ash for the repair of roads through the characterization of different materials, the design of dosages and the development of optimized mixtures with additions of ash and zeolite. Due to the situation the country is going through, the opportunity arises to propose a repair mortar that contributes with sustainable and technical criteria. In order to meet the mentioned objectives, it was necessary to carry out tests on different materials, which allowed the design of the traditional mortar mixes M3, M5 and, in turn, of the dosages M - 50% C and M - 75% C, with variations in the percentage of ash addition in replacement of sand. The execution of compression, traction and adherence tests allowed evaluating the properties of each mixture and dosage, where maximum values of compressive strength of 17.96 MPa, modulus of elasticity of 2000 Kgf/cm2 and adherence of 0.52 MPa were determined. The M5 - 50% C mix, which is postulated under different criteria as a proposed repair material due to its better performance among the options evaluated, does not meet the parameters required by the regulations for rigid pavement repair mortars.
Comparative analysis between the use of Sodium Chloride and Portland Cement in the stabilization of clay soils on the road linking the areas of the populated centers of Miraflores and Shultin, Baños del Inca district, city of Cajamarca.
Worldwide, there are deficiencies in the quality of soils, so the search for materials that function as stabilizing additives arises. This research work presents the analysis and comparison of the influence of Portland Cement type I and Sodium Chloride in clayey soils, applied in proportions of 0.6%, 1.2% and 1.8%, determining the most advantageous material. CBR test were carried out at 95% and 100% DMS obtaining as results of addition of Portland Cement, an increase reaching values of 23.32, 45.33% and 46.31% and 32.82, 47.04 and 50.37%, instead the addition of Sodium Chloride a reduction was observed obtaining values of 6.34, 6.33 and 3.58% and 10.07, 15 and 12.55%. In conclusion, Portland Cement type I achieves a considerable increase in bearing capacity in the percentages proposed, in contrast to Sodium Chloride which showed unfavorable results.
The ChatGPT Application: Initial Perceptions of University Teachers
This research had the purpose of probing from a first teaching perception what would mean the abrupt irruption of the application of Artificial Intelligence (AI) ChatGPT regarding the academic uses that higher education students can already give to it. Of exploratory scope and basic type, the study is proposed under the interpretationist paradigm, qualitative approach and phenomenological typology it used the interview technique applying a questionnaire of open-ended questions to 23 research professors of seven university careers in Peru. The instrument covered four aspects: advantages, disadvantages, challenges and needs of ChatGPT. Among the advantages are the availability of better academic technological tools and the ability to consolidate delegated work in less time and with more sources the disadvantages are that it opens the door to higher levels of plagiarism with a high possibility of non-detection the perceived challenges focus on the demands of generating better relationships of trust and delegation from teachers to students and on developing new methods of verifying knowledge the needs point to the rapid incorporation of technological training and ethical awareness. It is concluded that an unprecedented chapter has been opened in academic opportunities and demands that would entail new dynamics between teachers and students, at academic and ethical levels, posing a scenario of demands for new technologies that support the ChatGPT application but also contain its eventual overflowing boom.
USO DE RECURSOS DIDÁCTICOS EN EL APRENDIZAJE DEL CÁLCULO DIFERENCIAL E INTEGRAL EN LOS ESTUDIANTES DE INGENIERÍAS DE LA UNIVERSIDAD ALAS PERUANAS – PUNO.
El presente trabajo de investigación tiene como finalidad, en qué medida el uso del software MAPLE influye en el aprendizaje del cálculo diferencial e integral en los estudiantes, mientras que el objetivo principal que se planteo es: Determinar los efectos de uso del software MAPLE en el aprendizaje de los estudiantes, siendo los objetivos específicos: Establecer el nivel de aprendizaje y las diferencias en cálculo diferencial e integral en el grupo experimental y control, antes de aplicar el experimento. Determinar en qué medida se mejora el nivel de aprendizaje en los estudiantes del grupo experimental, con el desarrollo de las actividades de aprendizaje haciendo uso del software MAPLE y Determinar las diferencias en el nivel de aprendizaje del cálculo diferencial e integral en el grupo experimental donde se aplicó el software MAPLE a comparación del grupo control. El tipo de investigación es el experimental y el diseño es el cuasi experimental, el proceso de la prueba de hipótesis se ha realizado aplicando el análisis de varianza de dos grupos que fue distribuida equitativamente, el cual corroboró la hipótesis de que la aplicación individual de las variables independientes influyen significativamente en el aprendizaje, pero sobre todo la aplicación conjunta de ambas variables crea el efecto de interacción de ambas mejorando aún más el aprendizaje de los alumnos.
Industry 4.0: a systematic review of the impact of technological innovation on commercial logistics processes
The aim of this article is to analyze the research trends published on the impact of technological innovation into the commercial logistics processes since 2012 to 2022. The methodology used was the literature review, so it was developed according to the qualitative approach of descriptive design. In addition, with the support of the PRISMA Statement, 31 research articles were selected to analyze and examine the research trends of Industry 4.0 regarding the use of technological devices, such as the case of RFID and its implementation in business operations. The results suggest that Information Technology Communications and the Internet of Things (IoT) are optimizing business operations as they continue to be employed as part of business models that impact the use of information technologies, as well as new technologies, such as RFID, to improve logistics operations within the supply chain.
Framework based on BPM and Design thinking to optimize the monitoring and control process in the area of project quality
Agility and adaptation to change through methodologies or frameworks have attracted the interest of companies and organizations, however, the role played by process management has become key for a successful implementation, taking into account consideration to the interested parties, be it the client or the parties involved. Companies seek effectiveness and efficiency in the activities carried out to improve their activities or processes and what better way to face these challenges with innovation. That is why a Framework (work framework) has been designed that is the product of the integration between process management (BPM) and the Design Thinking methodology that helps to discover insights and solve problems with innovation, this framework will optimize the process of monitoring and control in the area of project quality, helping to optimize the effectiveness of the same area and the personnel involved. In the results, improvements were obtained in the monitoring and control process, improving the participation and commitment of the client, an increase in the rate of scheduled appointments was seen, which rose to 72%, in addition to the increase in the NPS satisfaction index. which managed to reach 88% with an increase in promoters and also managed to considerably reduce complaints in the area of project quality.
Nitrogen dioxide (NO2) monitoring with sentinel-5P satellite images for the province of Coronel Portillo
One of the biggest environmental problems in recent years in our country is the emission of nitrogen dioxide from the air by burning brush or garbage, emissions from industry, an old vehicle fleet, etc. The emission of this gas in large quantities is a considerable variable for climate change and when it is breathed by people it generates serious health problems. Currently this is happening in some districts of the province of Coronel Portillo. For this reason, and given the lack of air quality monitoring stations in the area, it was proposed to carry out an investigation that would allow us to determine the amounts of nitrogen dioxide on a temporal and spatial scale for each district of the studied province, during and after the COVID 19 pandemic, between the years 2019 and 2022, to find out if this event in any way caused an effect on the emissions of this gas.
Corporate social responsibility practices and sustainable development. A systematic review from 2012 to 2022
Currently, citizens demand great changes focused on building a balanced and sustainable society for current and future generations, corporate social responsibility is shown as a tool to contribute to said development. This research seeks to identify the current perspectives of corporate social responsibility and its impact on sustainable development. For this, an investigation was developed using the systematic review methodology, analyzing review articles from the Ebsco, Scopus, ProQuest, Scielo, Redalyc and Dialnet databases, applying a search strategy that yielded 12,339 combined articles, which went through eligibility criteria for both inclusion (published articles, Latin American context, development of topic or subtopics) and exclusion (published before 2012, external context, incomplete information) obtaining, after removing duplicates, 65 articles for full review. The information was analyzed according to the CSR application perspective, and according to the type of CSR practice proposed. It is concluded that the vast majority of authors (62%) state that the prospects for the application of corporate social responsibility practices have an impact on sustainable development, placing particular emphasis on a characteristic of sustainable development according to the context or specific approach. of the place of operations or scope of the company. In addition, it constitutes a need for application, beyond the regulatory requirements, but as part of a business conscience.
Efects of scan speed and laser power at the geometic quality of materials manufactured using Selective Laser Fusion SLF
Additive manufacturing techniques are an extensive and broadly used technology that allows to create metal pieces with complicated geometric forms in less time and reduces cost compared to classic manufacturing techniques such as machining. Selective Laser Melting (SLM) and Selective Laser Fusion (SLF) are some of the different techniques of Additive Manufacturing that use high-energy Laser to build metal pieces from a 3D model. Although these techniques are cheaper and faster than other additive manufacturing techniques, they have some surface and geometrical problems such as high roughness, pores, and nominal radios different from those used in the CAD model. Some authors have described that by modifying some manufacturing parameters such as scan speed, laser power, or scan strategy, some of those problems can be fixed or reduced. This investigation evaluated the effect of scan speed and power of Laser over the geometrical quality of pieces made using Selective Laser Fusion technique (SLF). This investigation found that these two parameters didn´t have any statistical effect on the quality of geometrical radios made using SLF. Other parameters such as Laser scan strategy or post-process might be used to improve geometrical quality in pieces made using that technique.
Use of digital tools to improve the learning of differential calculus competence in engineering students
The objective of this study was to demonstrate the improvement generated by the use of digital tools in the learning of differential calculus competence in students of the school of industrial engineering. Its approach was quantitative and was developed considering a quasi-experimental design, it was applied to 80 students of calculus I, experimental group 40 students and control group 40 students. A written test was administered individually using the virtual tool WirisQuizzes of Blackboard, the instrument was validated using the expert judgment technique, and by using the Spearman-Brown coefficient in the test of the two halves it reached a reliability of 0.941. The results showed that the use of digital tools contributed to the improvement of competences in differential calculus in the students, which was reflected in the results of the post-test in the experimental group where 47.5% (19 students) were at the satisfactory level, which when compared with the results obtained in the post-test of the control group, it was verified that this reached only 7.5% (3 students). When the general and specific hypotheses were tested, these presented an asymptotic significance p= 0.000, so the null hypothesis was rejected.
Technical efficiency of the districts and zones in intermediate education of Ecuador
The purpose of this paper is to stablish a methodology of measuring and analysis efficiency in the administrative management, in the context of intermediate education (high schools), of school districts and zones in Ecuador. First, we did a literature revision about some models to evaluate the efficiency and analyze the advantages and disadvantages to each one. In this case we use a data envelopment analysis (DEA) considering the school districts as decision making unit (DMU). The pure technical efficiency (PTE) was estimated with three inputs (students, teachers, and budget) and three outputs (global index of approve “Ser Bachiller” test, retention rate and students approve test by subject) for each one 140 dmu's. The data was obtained of the Ministry of education and corresponding to 2015. The results suggest that in general the districts are efficient (PTE average> 0.5 in all models) "producing" global index of approve “Ser Bachiller” test and retention rate, but the variation in the PTE of global index is bigger than PTE in retention rate case. Moreover, we can see that the most school districts efficient are in two specific zones, zone 8 (Guayaquil, Samborondón, Durán) and zone 9 (Metropolitan district of Quito). Finally, a sensibility analysis suggests that the number of students in each school district (input 1) is not a significant input in estimation of technical efficient coefficients in DEA model. These results obtained provide interesting points for educational policy discussion in Ecuador.
Antimicrobial properties in nanoparticles synthesized by biogenic route
Nanomaterials (metals and metal oxides) synthesized by the green route, a method known as “biogenic” synthesis, have a wide field of applicability, highlighting their antimicrobial activity. Therefore, this meta-analysis aims to study the antimicrobial potential of nanoparticles synthesized by biogenic route. The PRISMA methodology was applied in addition to different inclusion and exclusion criteria (language, periodicity, accessibility, relative importance), obtaining a total of 40 investigations. The research concludes the efficient applicability of silver (NPs Ag), iron oxide (FeO NPs) and zinc oxide (ZnO NPs) nanoparticles as antimicrobial agents. Likewise, with a smaller size of nanostructures, efficient inhibitions are obtained, so its potential depends on the dimensions of the nanoparticle. Finally, it was possible to observe that the size of the nanomaterial depends directly on the reducer and precursor, however, it is recommended to expand the investigation, since conclusive results were not obtained at this point.
Espinoza Tongo, Maria Cristina Emperatriz
Monitoring of carbon monoxide (CO) pollution using Sentinel - 5P satellite images since the beginning of the Coronavirus pandemic (case study: Huamanga Province)
In the era of booming industry, environmental pollution has become more and more important over the years. Global warming caused by air pollution has also caused Antarctica to lose large amounts of ice in recent years and global warming has increased. In a not too distant reality, such as that of Peru, whose capital has an aging vehicle fleet with an excessive impact on the environment and air quality, it is of the utmost importance not to focus on this problem, but to focus on underdeveloped cities. with few or no seasons of low air quality, for example, in the province of Huamanga in the province of Ayacucho. Therefore, it is proposed to carry out a study that allows determining the amount of carbon monoxide (CO) in each district capital of the province of Huamanga from the beginning of the COVID 19 pandemic until 2022, as an essential requirement for 2019. This work will contribute to future remediation projects to solve various environmental problems.
OBTAINING BIODIESEL FROM RECYCLED OILS FROM FOOD ESTABLISHMENTS: A SUSTAINABLE ALTERNATIVE TO THE USE OF FOSSIL FUELS
The main objective of this study is to investigate the influence of the molar ratio of methanol and oil, as well as the percentage of sodium hydroxide, on the calorific value during the production of biodiesel from used oils obtained from restaurants in Cajamarca. To do this, the transesterification process, which was patented by a company in 1950 in the United States, will be used. The process will begin with a survey applied to each of the restaurants to determine the amount of used oil and establish a collection system. Then, transesterification will be carried out in a laboratory and the calorific value of the biodiesel will be evaluated using the Anderson Darling probability method. Finally, two independent categorical groups will be analyzed with the Kruskal-Wallis Test to determine any possible differences in calorific value between them. In general, this study is crucial to improve biodiesel production from used oils, reducing dependence on fossil fuels and contributing to a more sustainable future.
Comparative Analysis of the Seismic Performance between a between a Hysteretic Energy Dissipation System and an Elastomeric Elastomeric Isolation System in Reinforced Concrete Buildings. Reinforced Concrete Buildings
This article was carried out in the city of Trujillo - Peru, with the objective of performing a comparative analysis of the seismic behavior between a hysteretic energy dissipation system and an elastomeric isolation system in reinforced concrete buildings, using according to its purpose, an applied type of research, with non-experimental, transversal design and according to its level, descriptive, where the technique for data collection was used direct observation with observation guides and the help of analysis and design software of buildings ETABS V19. 1.0 the data analysis process was carried out through the construction of mathematical models in the aforementioned software, which allowed idealizing the mechanical properties of the structural elements of each building and of the LRB elastomeric isolation devices and SLB energy dissipaters. In order to calculate the structural response of each building, a modal analysis was first performed, obtaining the free vibration periods of the structures with conventional system and with seismic protection systems, as well as a nonlinear seismic analysis Time History considering a maximum earthquake, with a 5% probability of occurrence in 50 years, under the requirements of standards E0.30, E0. 31 and ASCE 7-16 to obtain the behavior of the seismic protection devices, shear, energy dissipation, displacements, accelerations and interstory distortions, with the results it was concluded that as the levels of the structures increase, starting with the eight-story structure, the effectiveness of the isolators is reduced by (3.13%) while the effectiveness of the dissipators increases by (11.56%).
IoT: an approach from a Smart Campus to a Smart Lab at a University of Peru
Abstract- The objective of this article is the IoT Application: an approach from a Smart Campus to a Smart Lab at a University of Peru. For the review of the literature, 42 articles were explored, classified into 24 articles, the database used being SCOPUS, JSTOR, Dialnet, Redalyc, ESBCO, Scielo in English, Portuguese and Spanish, emphasis is placed on the concept and characteristics of the Internet. of Things with applications of sensors, actuators, programming, architectures, among others, in the new Smart Campuses, change the way of living, in a safe, comfortable and thrifty context, where the advantages are enormous applied to a Smart Laboratory, improving significantly the application and learning in Control and Automation.
Digital Marketing Strategies for Service Quality in a Primary Care Health Clinic
The research summarizes the study of [1]. The objective was to design a digital marketing model to improve the quality of service of the company "Servicios Médicos ElyLab" against Covid-19. The research was applied, using a cross-sectional, non-experimental, descriptive-explanatory design. A questionnaire validated by expert judgment (α-Cronbach's 0.905) was administered to 40 clients. The 4 phases of the Sainz methodology were carried out as follows: Phase I involved analyzing and evaluating the organization's situation, including the formulation of its mission and vision, external analysis (MEFE), competitive analysis (Porter's 5 Forces), and internal analysis (MEFI). Phase II involved establishing marketing objectives, Phase III involved selecting marketing tactics, including the identification and selection of strategies, and in Phase IV, the formulation of execution plans and the development of a balanced control panel. The economic evaluation showed positive results (VAN S/.63046, IRR of 44% and B/C of S/. 1.90).
Flood risk management in the torrent of Los Incas in the city of Arequipa – Perú
The city of Arequipa, the second most important in Peru, faces many extreme challenges, such as high-intensity but short-in-duration rainfalls which causes floods and the swelling of the Chili River (mud and landslides). This situation exacerbates people's condition who live on the margins of the gorges and gullies because of little or no territorial planning from public institutions. The local news evidence negligence every year in the human and infrastructural loss. The frequency of these events has increased with the time and that is the reason why rainfall thresholds have been created with their identification together with a 41- year register (1981 - 2021). For the hydrological model, the authors used the highest 24-hour precipitation data from the SENAMHI's stations (National Service of Meteorology and Hydrology of Peru) to obtain the liquid hydrograph for different return periods. Soil mechanics studies were also carried out to determine the rheological parameters of the non-Newtonian flow and then calibrate through historical events in a hydraulic model. Finally, cartographic maps were prepared to evaluate the vulnerability and high-risk areas of flooding in the Los Incas torrent.
Fake News about health on the WhatsApp social network, during the Covid-19 pandemic, year 2022
The present investigation, which is entitled "Fake News about health in the WhatsApp social network, during the Covid-19 pandemic, year 2022", formulated the following general objective: to analyze false news about health in the WhatsApp social network , during the Covid-19 pandemic, year 2022 proposed the following methodology: qualitative approach, under the case study research design, at the level of hermeneutic scope, with a population of 20 messages and a sample of 10 messages and observation as a technique and the observation sheet as an instrument achieved the following main result: fake news cites recognized sources (government agencies and institutions, television channels, medical specialists, political representatives and scientific journals) with the aim of being credible media for readers reached the following general conclusion: fake news on the WhatsApp social network tends to produce completely false content in favor of “news”, where the authors address the issue of Covid-19 based on their personal benefits.
GENDER PAY GAP AND ITS IMPACT ON THE HUMAN DEVELOPMENT INDEX IN PERU FROM 2010 TO 2020
La presente investigación tiene como misión mostrar en qué medida la Brecha Salarial impacta el Índice de Desarrollo Humano en el Perú durante los años 2010 a 2020, ya que es fundamental conocer el nivel de desarrollo que tiene un país y cómo le afecta la brecha salarial. El tipo de investigación es aplicado, diseño no experimental, método deductivo analítico, inductivo, sintético asimismo, con un enfoque cuantitativo, se consideran los datos de la brecha salarial de género y los datos del IDH en Perú como la población a estudiar, como muestra se utilizan los datos de la brecha salarial y los datos del IDH para los años 2010 a 2020. Además, se realizó un análisis documental como técnica de recolección de datos, donde se encontró que el impacto de la Brecha Salarial en el IDH es de 43,59 con una significación de 0,027. Como conclusión, se observa que la brecha salarial tiene un impacto directo en el IDH, ya que cuanto mayor es la brecha, mayor es el impacto que tiene en el IDH Asimismo, cuando la brecha salarial aumenta, el desarrollo humano se ve afectado negativamente ya que no puede aumentar.
Mendoza Castillo, Alvaro Larry Luis Felipe
Influence of petrominerographic characteristics of limestone rocks in the production of calcium oxide, Bambamarca 2021
This research work has purpose of determining the influence of the characteristics limestone petrominerographic plants in the production of oxide of calcium. The methodology is based on work carried out by field and in laboratories, also by data provided by the owners of each of the lime companies, the work It was made based on 1 limestone sample per company, A total of 5 samples from the lime companies of Bambamarca to carry out two studies, one petrographic and the other geochemical. The results of the analyzes petrominographic surveys, it was possible to identify the most favorable for the production of quicklime, also identified which formation contains the best oxide purity of calcium.
Strategic Model for a SME Company in the Construction Sector
The objective of the research was to design a strategic model for the logistics of a company in the construction sector, through a non-experimental - transversal methodology, using techniques such as surveys, interviews, whose instruments were interview guides and questionnaires applied to a sample of 10 collaborators in the logistics area that allowed the collection of information for subsequent analysis. It was determined that 36% of products are not rejected to suppliers and 63.6% sometimes. Inventory turnover is less than 2 times per year and with regard to task compliance, only 27.3% of the time is fulfilled and 72.7% from time to time, establishing that they usually do not comply with assigned activities. The strategic plan focused on logistics was carried out. The results show that the company is well positioned internally and externally, with greater strengths and opportunities, but with deficiencies. It was established that the company must maintain a strong position in a rapidly growing market, adopting strategies such as market penetration and horizontal integration. In conclusion, the strategic plan provides greater competitiveness and improvements in the logistics and commercial areas associated with the fulfillment of organizational objectives
Business Process Management Model for Customer Satisfaction in an SME in the Gastronomy Sector
The purpose of this study is to design a business process management model for customer satisfaction for an SME in the gastronomic sector being the research of a non-experimental and prospective cross-sectional nature, with a mixed approach due to the qualitative and quantitative data. The population is all the processes of the organization, where the sample for convenience are exactly 15, considering one of them as the unit of study, also 150 customers are part of this sample. Concluding that the business process management model designed is appropriate to the reality and conditions of the SME, demonstrating it in processes optimization in order to achieve customer satisfaction, using tools such as information systems and process redesign, which would allow a reduction in time and costs in key processes such as customer service and attention and food preparation, thus optimizing valuable resources for the organization, on the other hand, they proposed new processes such as production planning, input standardization, among others to offer a better quality service to customers thus achieving their satisfaction.
Recovery and sustainable use of the Chorrillos beach of Huacho, Peru.
This article shows the environmental recovery and sustainable use of the Chorrillos of Huacho beach, which is polluted and closed but it is recoverable according to Jáuregui [1]. In spite of being contaminated, the competent authorities and the population do not act for this recovery and its use, moreover, they are aware that this environment affects their health and their economy, and due to the lack of opportunities the population migrates. Therefore, it is essential the environmental recovery of this beach and its use as a great opportunity for human development, for it was evaluated the environmental opportunities it offers, as well as other resources that exist in the area, allowing it to be more attractive for tourism. For this, references have been taken among other experiences published by the United Nations (UN) and other documentary means, which have allowed making proposals for environmental management and sustainable use of this beach, as well as its measurement of sustainability indicators of Pressure-State-Response (PER), which shows that it is possible to apply these proposals and whose experience is also a contribution for the sustainable development of other towns in a similar situation.
Standardization of Processes for Productivity in an SME of the Commercial Sector
The objective of the research was to design the standardization of business processes for productivity in an SME of the commercial sector engaged in the provision of industrial supplies. The study was non-experimental, prospective design, applied classification, cross-sectional, observational and with a qualitative approach. Likewise, observation, interview and documentary review techniques were used, and instruments such as observation form, interview guide and registration form, which were applied to a sample of 5 commercial processes. Concluding that the redesign of the standardization of the processes for the commercial area in the TO BE model were those of Commercial Management, Customer Follow-up, Quotation of products and services, Quotation of hydrocarbons and After-sales Service, where the proposed model is aligned to the needs of the business line In turn, the proposed model proposes to eliminate repetitive activities, better define the roles of the intervening actors, reduce delay times and therefore favor the productivity of the studied SME, making use of flow charts considering three averages to measure the current productivity level of the AS IS model, getting a total average yield of 99.00% of efficiency, 61.72% of efficacy and 81.26% of effectiveness
Design of Datamart for the Cargo Service of an SME in the Transport Sector
The objective of this research was to design a Datamart for the cargo service in an SME in the transport sector. Which had a mixed approach, applied, prospective, cross-sectional, and non-experimental, where the cargo transport service and records of the logistics area were selected as part of the sample. It conducted an interview validated by expert judgment, in addition to the respective analysis of the records for the development of the research. It applied the methodology of Kimball for the development of the design of the Datamart, making the dimensional database, which allowed the development of the ETL subsystem, the elaboration of the OLAP Cube and achieve the visualization of indicators, in a BI tool, according to the established requirements, estimating a cost of S /. 48.814 for implementation.
PENTEST in IoT Devices for a Precision agriculture Environment
Agriculture is constantly evolving, nowadays many processes in the countryside have been automated thanks to technology, giving rise to precision agriculture, which has helped to optimize the use of natural and agricultural inputs through the data sensed in the crops. Security in precision agriculture systems is vitally important to protect data, for this reason, it has been proposed to perform penetration testing (PENTEST) or attacks on a precision agriculture system. In the experiment, open source tools were used to determine which vulnerabilities may occur in real environments. Penetration tests were performed with Denial of Service, Man-in-the-Middle and DNS spoofing attacks, for devices on the Edge and in the Fog. These tests made it possible to affect the integrity, availability, and authenticity of the system. It was reported service drops of up to more than 80% within the first minute, theft of sensitive information and duplication of pages, which allowed us to conclude how vulnerable is this technology.
On Experimental Evaluation of Unsupervised Spectrum Sensing
Spectrum sensing plays a key role in cognitive radio (CR) networks in order to determine the availability of unused frequency bands. So far, presumed models have been employed to conceive statistical tests such as eigenvalue-based detectors. Nevertheless, their detection performances are degraded as the accuracy of these models depart from real-world measurements. In this paper, we assess the performance of an unsupervised learning spectrum sensing (ULSS) detection through experimental evaluations. In this approach, model assumptions are no longer required, while avoiding labeled data often not available in practical CR scenarios. The ULSS consists of a two-stage training, where an unsupervised Gaussian mixture model (GMM) is employed to provide training data for a deep neural network (DNN). The experimental results shows that it outperforms model-based detectors by learning from real measurements.
Factors that determine the healthy behavior of consumers. A systematic review between 2013 -2022
The objective of this study is to identify the factors that determine the healthy behavior of consumers of organic products and their supply, taking as a reference various systematic studies in recent years at a global level. The information sources used were important scientific databases such as Scopus, Ebsco, Proquest, Dialnet, Redalyc and Scielo. The following methodology was used: the type of research is a systematic review. The techniques used are the analysis, contrast, comparison of data and informative ideas for the variables established in this report. The development of the results demonstrates the analysis of the information and the collection of the systematic articles. It is concluded that within the scientific literature, consumer behavior is a highly amplified concept, which contradicts opinions regarding authors, this produces a comprehension bias. It is deduced that there are five factors that determine healthy behavior in the consumer, which intervene in the lifestyle, purchase process, customary experiences, among others. These are concluded in the following: sociocultural, socioeconomic, environmental, ethical, and external communication (marketing) factor.
ANALYSIS OF THE MECHANICAL AND PHYSICAL PROPERTIES OF ADOBE COMPACTED WITH ICHU AND WITH PINE FIBERS
This research was carried out with the objective of determining the mechanical and physical properties of compacted adobe by incorporating plant materials in its preparation. For which, 2.5% ichu fiber was used as a standard sample in comparisons to the use of three levels of pine fiber (2.5%, 5% and 7%). The compression, bending and absorption properties were analyzed for which 24 adobes were made for each of the indicated addition percentages Obtaining, as an answer that the adobe with ichu fiber has better compression resistance 42.75 kg/cm², compared to 35.65 kg/cm², 34.68 kg/cm² and 28.95 kg/cm², for the levels 2.5%, 5% and 7% of pine fiber. When evaluating the resistance to flection, the adobes made at 2.5% with ichu fiber reached a resistance of 33.02 kg/cm², being greater than the resistance of: 27.07 kg/cm², 25.20 kg/cm² and 26.00 kg/cm² for 2.5 %, 5% and 7% pine fiber Likewise, when evaluating the absorption of water, it was obtained as results that the adobe with Ichu fiber was 2.92% compared to 2.74%, 3.05% and 2.80% for 2.5%, 5% and 7% of pine fiber respectively. It is concluded: That the addition of 2.5% ichu fiber generates greater resistance to compression and flection, compared to the addition of pine fiber in 2.5%, 5% and 7%, but has lower absorption compared to pine fiber.
Impact of credit and collection management on the liquidity of the company AFA GROUP, Trujillo 2022.
The main objective of this study was to determine how credit and collection management affects the liquidity of the company AFA GROUP of Trujillo in the year 2022. This is a mixed-applied, non-experimental, longitudinal and descriptive-explanatory study, which includes as study population the company AFA GROUP and evaluates three periods: 2019, 2020 and 2021. Interviews and documentary analysis were used for data collection. The results indicate that inefficient credit and collection management has a negative impact on the liquidity of the company AFA GROUP, reducing its liquidity ratios by 77% in 2021. In that year, the company had particular difficulties in meeting its short-term debts, with an acid test ratio of 0.39 and a cash ratio of 0.03. In conclusion, it was determined that poor accounts receivable management can generate liquidity problems and make it difficult to meet obligations to third parties.
Nutritional control PWA to reduce problems derived from overweight in high school students of a Public School
Obesity is a constantly growing problem since 2016, with an impact in the last 2 years where most people lived a very sedentary life that affected their metabolism and led them to be overweight, in addition to the direct relationship that exists between people with a low socioeconomic level and the prevalence of overweight, due to problems of low education and poverty. For this, an application research with a quantitative approach was carried out, with an experimental group of 33 students and another control group of 33 students to contrast the experimental group, which has not been significantly affected by external factors. Finally, it was obtained as results that the BMI of adolescents improved by an average of 2%. In the same way, knowledge retention is optimal, since initial knowledge was improved by an average of 60%.
Delinquent portfolio and its impact on the economic results of the Rural Savings Banks of Peru.
The present investigation was carried out with the objective of explaining the incidence of the delinquent portfolio in the economic results of the Rural Banks of Peru during the periods from 2016 to 2020. To carry out the study, the documentary analysis technique was used, the data were Extracted from the portal of the Superintendency of Banking and Insurance and Pension Fund Administrators (SBS), the main results showed that at the end of 2020 the delinquent portfolio and the high-risk portfolio had indicators of 8.46% and 11.23% respectively. , during the same period, a return on assets (ROA) and a return on equity (ROE) of -1.73% and -10.06% respectively were obtained, throughout 2020 due to the state of emergency of COVID 19 the financial system in as a whole was one of the most affected sectors, thus triggering, for December 2020, a loss for the Rural Bank System of S/50,340,000, it was concluded with a coefficient of correction Pearson's elation of -0.712, the same one that expresses that the delinquent portfolio negatively affects the economic results of the Rural Banks of Peru during the periods from 2016 to 2020.
Audiovisual language in social networks in Iberoamerica: A Systematic review of the literature between 2012 and 2022
The accelerated technological development and the emergence of new digital platforms have given way to new ways of communication. Audiovisual language plays a very important role in social networks, which with their different styles invade the internet with audiovisual content that has the power to transmit a message quickly and easily. Based on this, the objective of determining the trend of audiovisual language studies in social networks in Latin America was established. The method has been a systematic review of the literature of 31 articles published between 2012 and 2022 in the Ebsco, ProQuest, ScienceDirect and Scopus databases. The validation followed the inclusion and exclusion criteria, identification of the databases, search engines and evaluation and description of the results. The findings indicate that the audiovisual language in social networks has made it possible to materialize the reality and the point of view of the viewers, thus becoming a conceptualization tool for the production of audiovisual content. Likewise, it is concluded that there is a predominance of social networks due to the use of audiovisual language with the purpose of producing content that better transmits a message and impacts viewers.
Monitoring of carbon monoxide (CO) with sentinel-5P satellite images for the province of Huanuco
One of the biggest environmental problems in recent years in our country is the emission of carbon monoxide from the air by burning brush or garbage, emissions from industry, an old vehicle fleet, etc. The emission of this gas in large quantities is a considerable variable for climate change and when it is breathed by people it generates serious health problems. Currently this is happening in some districts of the province of Huanuco. For this reason, and given the lack of air quality monitoring stations in the area, it was proposed to carry out an investigation that would allow us to determine the amounts of carbon monoxide on a temporal and spatial scale for each district of the studied province, during and after the COVID 19 pandemic, between the years 2019 and 2022, to find out if this event in any way caused an effect on the emissions of this gas.
Flow generation at daily level using the GR4j Method and gridded climate information in the Huayabamba river basin
Given the small number of hydrometric records, this research aims to generate daily and monthly flows for the Huayabamba river basin up to its confluence with the Huallaga river, for the period between the years 1980-2020, this in order to This information can be used in the future for the elaboration of hydrological and hydraulic projects, which can mitigate flooding in the towns established in the lower part of the basin. For this reason, to achieve this purpose, the ERA5 temperature and precipitation grid information and the GR4j runoff precipitation method were used.
Rubber Dam use in agriculture, case of study, Chilintomo river
The Chilintomo irrigation system serves an area of ​​2000 ha and has been in operation since the 1970s. The diversion structure worked with a dam with planks, which were placed when the winter season ended to take advantage of the low water flows. In 2016 the structure was "repowered" by implementing a 3 m concrete dam however, this has caused problems with flooding upstream of it. This research aims to cover the use of inflatable dams in agriculture, analyzing the case study of the Chilintomo River - Ecuador, which allows the free passage of maximum flows in the rainy season and in turn allows controlling the levels in the channel in dry season, The methodological process contemplated the collection of meteorological and cartographic data, information processing, modeling and design proposal, in order to establish a runoff rain model using HEC - HMS, analysis and results of the hydraulic model with two scenarios of the inflatable gate. The results obtained from the modeling show that the structure allows to mitigate the floods that produce the maximum flows for the low return periods, and in dry season it will be able to divert the flows towards the irrigation channels of the system. The implementation of agri-food systems is part of the 17 Sustainable Development Goals (SDG) (1, 2, 9, 15, 16 and 17), proposed by the United Nations (UN) in 2015.
Bioremediation of soils contaminated by hydrocarbons using animal manure, a systematic review during the years 2017-2022.
Currently, due to the high worldwide demand for hydrocarbons demand for the use of hydrocarbons is causing serious impacts on soil fertility, properties and use, as well as fertility, properties and use of the soil, as well as on people, flora and fauna. people, flora and fauna. This systematic review aims to the bioremediation of hydrocarbon-contaminated soils using manure contaminated by hydrocarbons using animal manure through the use of PRIS the use of PRISMA methodology in order to gather information that describes the information describing the effectiveness of animal manure in the bioremediation of contaminated soils.bioremediation of hydrocarbon contaminated soils. According toAccording to the results, cow and poultry manure are the most commonly and poultry manure are the most used, presenting 21-99% and 80-96% respectively of hydrocarbon percentage of hydrocarbon degradation in soils. In addition, the African continent had the highest percentage of hydrocarbon degradation in soils, The African continent was the one with the largest number of studies, due to the fact that it is a rich the African continent was the one with the greatest number of studies, due to the fact that it is an area rich in oil. It is concluded that the use of animal manure of animal manure is an effective, efficient and reliable technique for the removal of hydrocarbons in different soils. removal of hydrocarbons in different types of soils, and its degradation percentage of degradation would be improved by adding bacterial or plant species.
Innovation and Sustainable Development in Global Businesses Global Enterprises 2017 - 2022: A Systematic Review of the Literature Literature
The objective was to describe and verify the elements, methodology and main findings of the the elements, methodology and main findings of the research on the study of research related to the study of trends in innovation and sustainability in innovation and sustainability trends in global companies. Out of 124 were reduced to 80 articles after selection based on the PRISMA methodology. PRISMA methodology. The results reflect that the two variables The results reflect that the two variables have a great scope in companies because they their structure, determining relevant factors for their development and their impact on the development and their impact on the outside world.
Trends in metaverse and virtual worlds research: A systematic review of the scientific literature of the last 5 years
The study conducts an analysis of the scientific literature that has focused on theoretical and practical trends on metaverses and virtual worlds in the last 5 years. For this purpose, 66 articles were collected from different databases, Ebsco (46), ProQuest (11), Scielo (3), Scopus (2) and ResearchGate (4), from 2017 to 2022. The aim of the study is to determine that the metaverse and virtual worlds are one of the most important technological changes in recent years. However, it is many years away from being fully implemented in the transfer of information and interaction of people. The argument raises a topic where the Metaverse and virtual worlds have become an alternative for the transfer of knowledge and communication for different sectors
Economic Valuation of the Ecosystem Services damaged by mining in the Pías Lagoon, Pataz Province, 2022
The lagoon systems have a varied biodiversity that is home to thousands of species of flora and fauna, which are harmed by anthropogenic activities therefore, the present research aimed to estimate the Willingness to Pay (WTP) for the conservation of ecosystem services damaged by mining in the Pías Lagoon, Pataz Province, 2022 For this purpose, a questionnaire consisting of 22 questions was applied, divided into general data, socioeconomic factor, level of information and willingness to pay these were filtered in the SPSS statistical software, to obtain a suitable degree of reliability through the Cronbach's Alpha coefficient for the estimation of WTP, the STATA 16 statistical software was applied. 0, obtaining an individual value of S/. 9.00 monthly of S/. 5,592.61 and annual of S/. 67,111.37. It was identified that the majority of the population does not know about the ES provided by the lagoon. In addition, the length of residence, educational level, employment status, income, housing material and type of lighting, and water supply are socioeconomic factors that influence WTP. Finally, it was identified that in the lagoon there are Provision, Regulation, Cultural and Support Ecosystem Services.
Capability of the Liquid Penetrant Method to Detect Defects in Welds
The dye penetrant test is widely used because of its ease in revealing the presence of surface defects in welded components to ensure that their quality complies with industry standards. Since the various penetrant materials and the characteristics of the elements to be inspected produce uncertainty in the detection, it was proposed to determine the ability of the dye penetrant method to reveal defects in welded joints by varying the testing technique. Tests were performed on structural steel welded joints containing surface defects, characterized by microscopy, applying the visible and fluorescent penetrant techniques. The estimation of the detection capability of each technique was performed by the statistical model POD assisted with Software mh1823POD, obtaining detection probability curves and a50, a90 and a90/95 values to compare the effectiveness of each testing technique. The results showed that the fluorescent penetrant inks, with respect to the visible ones, present an improvement in their capacity to detect the smallest defects, in a reliable way, forming precise relevant indications to the real size of the defect.
Managing interests, a methodology for determining the degree of influence within a project and managing its risk: The case of the Pasacaballos fishermen and the expansion of the Oiltanking Cartagena wharf
Within project management it is important to distinguish, recognize and manage the relevant stakeholders of the project, due to this, the objective of this article is to analyze the different influence strategies that can be used by stakeholders and how to manage them in the different phases of the life cycle of a project. In this article, the population under study is the Pasacaballos community and its impact on the development of the Oiltanking Cartagena loading dock expansion project, in the year 2022, the case-study focuses on three aspects: power analysis, legitimacy and urgency for the analysis of the intentions of secondary stakeholders. The main findings are that based on the fundamental type of influence strategy used by stakeholders and recognizing the stage of the project life cycle, an effective management model can be developed to dilute the influence of stakeholders or minimize the impact that their actions may have on the development of the project's decision-making proces
Acoustic Parameters in Reference Standards for Calibration of the Industrial Ultrasound Test System
The non-destructive method of industrial ultrasound uses reference standards for calibration of the test system, a key factor to characterize a defect dimensionally. In welded steel structures, the AWS D 1.1 code suggests, depending on availability, various types of reference standards for calibration. It is important for the repeatability of the inspection results, regardless of whether one or another reference standard is used, to be certain of the measurement of its acoustic properties. The objective of the research was to obtain the speed and ultrasonic attenuation in the DSC, K1 and K2 type reference standards, with longitudinal and transversal beam, by varying the frequency of the beam. The acoustic parameters in each reference were obtained by the direct contact method, pulse-echo technique, 16 experimental runs were carried out with three repetitions to produce acoustic waves with a straight and transversal beam with refraction angles of 45o, 60o and 70º and frequencies of the 2.25, 5.0, 10.0 and 15 MHz transducer. The results reported that the comparable acoustic parameters differ in each reference standard, the speed of the ultrasonic beam decreased and the attenuation increased, as the frequency of the transducer increased, due to generating greater dispersion of the ultrasonic beam. It was not possible to obtain reliable results with transverse beam for sweep frequencies of 10 and 15 MHz. The type of reference standard and the frequency of the transducer have a significant effect on the measurements of the acoustic parameters.
Implementation of a condition-based monitoring management system for the pasta preparation area of Trupal S.A. company based on the ISO-17359:2018 standard
The objective of this work is to present an implementation of condition-based monitoring maintenance following the guidelines of ISO 17359:2018 standard in a specific area of the company TRUPAL S.A., in order to increase the availability of its machinery. For many years, TRUPAL S.A. has focused on a corrective maintenance and has tried to implement a based on condition monitoring maintenance assisted with third party companies, but the expected objectives, such as failure control of its machinery and availability above 90%, were not achieved. This work focuses only on the pasta preparation area (PP1) which has 120 pieces of equipment and all of them were evaluated and verified according to the ISO 17359:2018 standard. In our cases, vibrational analysis and criticality analysis were performed as part of the implementation. At the end of the implementation, different tools were developed (AMFE matrices, routing tables and vibration analysis protocol) that allowed to improve the availability of the equipment, achieving up to 95.2% availability, which allowed a production growth of 2.3%. monthly on average. The development of this document is intended to be a basis for other companies to implement this type of maintenance for improving the machinery management without requiring a considerable investment.
Business Intelligence Model for Decision Making in a MYPE in the Construction Sector
The objective of the research is to design a business intelligence model for the decision-making process in a company in the construction sector. The type of research is applied, descriptive, qualitative. The population is made up of 7 areas of the company and 20 workers. Interviews and surveys validated by expert judgment will be applied. As a result, it was obtained that the business intelligence system significantly improved the quality of the information for the 4 areas in which it would be implemented, in addition, meeting time was reduced by 90%. The information collected was analyzed, and it was concluded that the design of BIS in the company has gone from being a cost to a competitive advantage, this being a necessary resource to meet the objectives of the organizations since it reduces time, improves the quality of information, and ensures optimal organizational decision-making. The estimated cost of the investment amounted to S/. 12920.
Process Management for People Administration in the Transport Sector
The present research work was oriented to determine the influence of the process design for the management of people for the company SETRAMI.SAC. The work methodology is applied according to the purpose, therefore, the design is pre-experimental. , where a reliable questionnaire (Cronbach's Alpha of 0.882) was applied to 52 workers. Likewise, an interview guide applied to the manager of the company, documentary review, observation guide and the questionnaire which was applied to the collaborators were taken as data collection instruments. The study began with the Proposal based on the process design model, Economic Analysis and Evaluation of the Proposal. It is concluded that an improvement was reflected with 96.2% of collaborators who are satisfied with the clarity of their outstanding functions, with an increase of 212.3% between the pre and post test 98.1% of collaborators are satisfied with the information received for the development of their functions, with a rise of 200% 94.2% of the workers are satisfied with the procedure manual provided by their area, with an increase of 95.8% and 100% of the workers have received their Organization and Functions Manual, with a positive variation of 205 .8%. Finally, the investigation obtained a NPV of S/. 30,713.77, an IRR of 80.48% and a benefit cost of 1.89.
Polluting Load From The City Of Santiago De Los Caballeros (Dominican Republic) To The Yaque Del Norte River. A longitudinal study.
The pollution of rivers has generated great concern on the part of governments and the population, due to the acceleration of urbanization and the rapid development of the economy. The objective of this research is to analyze the pollutant load from the city of Santiago de los Caballeros (Dominican Republic) to the Yaque del Norte river. This city is the second largest in the Dominican Republic by number of inhabitants, and the Yaque del Norte River is the longest river in the country. A total of 288 surface water samples were collected corresponding to two monitoring sites in the Yaque del Norte river, one at the entrance of the city and another at the exit. The samples were collected, monthly, from January 2010 to December 2021. The results show that the city of Santiago de los Caballeros increases the degree of contamination of the Yaque del Norte River, increasing the contamination in the parameters of dissolved oxygen, turbidity, color, conductivity, total dissolved solids, hardness, alkalinity, suspended solids, chemical oxygen demand, biochemical oxygen demand, nitrates, nitrites, ammonium, total nitrogen, total phosphorus, rotophosphates, chlorides, fecal coliforms, and total coliforms. It is determined that it is necessary to adopt an economic and feasible method to carry out an analysis of the causes of surface water pollution, to help formulate water pollution control policies in a timely manner in response to the rapid urban expansion of the city.
Digital Transformation in the Customer Experience Consumer: A Systematic Review of the Scientific Literature between 2018 – 2022
This systematic review presents and analyzes various studies referred to Digital Transformation in the Consumer Experience, the general objective of is to determine topics related to Digital Transformation in the Consumer Experience during the last 5 years through a review and analysis of the selected articles. The databases used in the search for studies used in the work are Scopus, SciELO, ScienDirect, Web Of Science and EBSCO the inclusion and discard criteria of the work were chosen in order to obtain studies that allow the elaboration of a precise, concrete and quality research, these articles should have been published within the years 2018-2022. In conclusion, 4 aspects were identified that are related to the Digital transformation. Among those that stand out, the strategy digital, the value proposition, Big Data and the company relationship customer. The limitations of this work were the language and the small amount of investigations regarding the two variables
E-commerce Application to Improve the Sales Process of the Melatec Company
The research work presented was developed with the purpose of determining the influence of an e-commerce application in the sales process of the company Melatec in the year 2022. The study model was pre-experimental, constituted with a sample of 15 product categories. Subsequently, an observation sheet was used for data collection. The Excel and XLSTAT statistical software and the Wilcoxon test were used for data analysis. The parameters covering the sales process were the percentage of complaints, returns, cancelled sales and completed sales. The results revealed a 55% decrease in the percentage of complaints, a 29% decrease in the percentage of returns, a 17% decrease in the percentage of cancelled sales and finally a 48% increase in the number of completed sales, compared to traditional sales. With respect to the above, it can be concluded that the application of e-commerce has a positive influence on the sales process of Melatec.
Management model based on Lean, S OP and SLP to increase the service level in a MSE in the brewery sector
This article is developed in a warehouse of a trading company belonging to the beer industry, which plays an essential role in the supply chain, since it favors delivery times and reduces financial losses in the warehouse, which allows offering better services and increase profits. In order to have an optimal handling of the products within the warehouse, it is necessary to have a greater efficiency in the fulfillment of orders. Therefore, in this case, the implementation of the Systematic Layout Planning and Sales and Operations Planning methodology has been chosen, accompanied by Lean and 5S tools, with the aim of optimizing the level of service and maximizing storage efficiency. The results of this model show the current situation of the company, which is 84.34% of the service level and increases by 96.65%, which is due to the implementation of the 5S, S OP, SLP and Standardized work. Keywords—Systematic Layout Planning, 5S, Sales and operations planning, service level, brewery sector
Lessons from the Pandemic: Usefulness of datathons and open databases in the analysis of COVID-19
The Latam COVID Datathon 2021 gave rise to the present study. Using data from open databases, it was foound that in Chile confirmed deaths from COVID-19 were concentrated in the regions with greater access to Hospitals, the opposite of what was found to be happening in other countries in the region. The objective of this research was to determine the relationship between the distribution of hospitals and the mortality from COVID -19 in Chile. An analysis by region of the percentage of mortality in confirmed cases between March 2020 and August 2021, using the open database of the Chilean Ministry of Health, was carried out. Using geolocation, an analysis of the distribution of health facilities, confirmed cases, and the death was performed. A positive correlation (p=0.02) was observed between the mortality and number of hospitals. It is known that in large cities there are factors such as the segregation of vulnerable groups and environmental pollution that determines the highest mortality of infectious-contagious diseases. However, on the basis of the analyzed data, it was not possible to find regional information that could aid in the interpretation of the results. The datathon brought to light the global need for data that is open, complete, regularly updated, to make it possible to analyze the variables that determine the causes and prevent the consequences of natural disasters or pandemics such as COVID-19. In the future, such access would help to reduce analysis biases and that permit governments to act promptly in the most vulnerable places, thus reducing mortality and economic consequences of such events.
Use of GIS in the change of the coastal line of the city of Trujillo, in the period 1985 – 2022
The coastline of the city of Trujillo is is in constant dynamics and is reflected as erosion and accretion in its different beaches through the years. Therefore, the objective was to analyze the change in the line of the Coastal coastline of the city of Trujillo with GIS. were used Landsat TM, ETM+ and OLI TIRS satellite images during the period 1985 to 2022, the coastline was digitized with MNDWI and for the coastline analysis, the DSAS tool as well as NSM statistics (net movement) and EPR (exchange rate). As results, it was obtained that the district of Víctor Larco Herrera (playa Buenos Aires) had the greatest retreat of the coastline with - 129.07 m at a rate of -3.59 m/year, classifying it as an area with moderate erosion, on the other hand, in the district of Salaverry (El Frente and Salaverry North and South beaches) identified an increase in its coastline of 621.87 m with a rate of 17.20 m/year, classifying it as an area with very high accretion. It is concluded that hard constructions and natural phenomena such as the coastal El Niño Phenomenon have some influence with the modifications of the coast
Dual structural design for an educational institution located in the Pacific Ring of Fire, Peru
The objective of the research work is to analyze and design the structure of the recreational and pedagogical area for an educational institution in Peru. For the present investigation it has been proposed to expand an educational institution located in Trujillo - Peru (Pacific fire belt) with seismic risk. Environments designed with the technical standard of design criteria for educational premises of MINEDU and the national building regulations. Regarding the structural issue of the educational environments, we complied with the requirements of the E.030 Seismic Resistant Design Standard, consolidated with the Etabs software. In the seismic analysis, drifts of less than 0.007 were obtained, with a maximum drift of 0.001434 in the X axis and 0.004591 in the Y axis for the steel design, all load combinations established in the E060 standard were taken into account. Regarding the recreational theme, a semi-Olympic pool of 25m long and 12.5m wide with a depth of 1.80m was considered, thus complying with the minimum parameters of the technical standard. When returning to classroom activities after the inclemencies of the pandemic that has been experienced, it is necessary that all private and public educational institutions are evaluated structurally to verify whether they meet the parameters of functionality and safety, and thus, establish the necessary repairs or reinforcements, with the sole purpose of ensuring the lives of children and young people.
Web application proposal using the Scrum methodology to enhance the sales process of companies in Trujillo, Peru
This research was carried out in order to analyze the characteristics of the sales process and the aspects of the SCRUM methodology that should be considered to propose a web application design in the city of Trujillo. The type of study was intentional calculating 45 service companies as a sample. A questionnaire was used to collect data. In addition, for the design of the proposal, the web application based on information symmetry was used as a theoretical framework. The dimensions of the factual variable were sales and customers, while the propositional axes considered in the propositional variable were security and usability. Likewise, the thematic axes on which the thematic variable was analyzed were roles, events and artifacts. The results show that "Effectiveness in sales made", "Execution of the sales process", "Customer acquisition" and "Customer recurrence" had an average "regularly" score of 49%, 49%, 36% and 29%, respectively. Having said all the above, it can be concluded that there is a deficiency in the sales processes the indicator with the lowest score is "Customer Recurrence", which is why a web application was developed based on the symmetry of information for service companies in the city of Trujillo.
Compressive and flexural strength of compacted adobe blocks with added bamboo sheath
The objective of the research was to analyze the compressive and flexural strength of adobe blocks compacted with 0.5%, 0.75% and 1% bamboo sheath of 4 cm, 5 cm and 6 cm, with respect to the weight of the soil of the La Paccha quarry in Cajamarca. The quantitative approach study had a sample of 140 adobe blocks, 60 blocks for the compression test and 80 blocks for the flexural test, made with bamboo sheath fiber. The compressive strength of the adobes increases up to 82.49% for adobes with 0.75% of 5 cm bamboo fibers, with respect to the UNE 41410 standard [15], while the standard adobes only reach 8.47 kg/cm2, therefore, they do not even comply with the E.080 standard likewise, for adobes with 0.5% of 5 cm bamboo fibers, in bending, they exceed up to 71.44% of the standard adobes with 15.51 kg/cm2. It is concluded that the bamboo fiber increases the mechanical capacity of the compacted adobes, surpassing the hypothesis that indicated an increase of up to 25%, complying with the requirements of the E.080 standard
The effect of deductible expenses on the determination of income tax: Case study Peru
The main objective of this research was to know the effect of deductible expenses in the determination of income tax in the general services company BTR R S.A.C., Trujillo 2020 - 2021. The non-quantitative approach was used, with a descriptive level and a non-experimental design. According to the type of research, the interview technique and documentary analysis were used. The results show that in the company there are expenses that exceed the established limit, as well as expense receipts that do not comply with the requirements of the Law on sales receipts. It is concluded that the researcher's hypothesis is positive because it showed that deductible expenses have a significant effect on the determination of the income tax in the general services company BTR R S.A.C. The research did not present any problems, therefore, there were no limitations.
Scientometric analysis in project virtual teams performance
In a post-pandemic era, remote work has become part of the daily life of many people, and project management has not been immune to this phenomenon. For this reason, understanding how the study of performance in virtual project teams has evolved takes great importance in order to achieve the objectives of scope, time and cost in harmony with the personal and professional growth of the teams. The following paper shows a systematic literature review, to provide a status of the research dynamics on the performance of virtual project teams (VPT) based on the Scopus and Web of Science (WoS) databases in the last five years. The methodology implemented is the scientometric analysis of five steps (retrieval, migration, analysis, visualization, and interpretation). The study was based on 454 Q1 and Q2 papers, distributed in four clusters largely dominated by USA and Europe. The analysis allows us to identify key variables for high performance in VPTs, such as communication, leadership, and trust, as well as other relevant variables associated with technology and management. Additionally, it was possible to identify a few research developments in Spanish-speaking countries.
Artificial intelligence and clean production on the way to sustainability: a systematic literature review
It is inevitable that new technologies are increasingly incorporated into the activities of institutions and people, this fact represents a challenge for sustainability, since an adequate use of advances will allow a more respectful development with the environment. Considering the above, the aim of this work is to investigate the research trends corresponding to artificial intelligence, clean production, and sustainable performance. For this, a bibliometric analysis of 110 papers was carried out in the scientific databases Scopus and Web of science. To carry out the process of unification, cleaning, and graphic visualization, the technological tools Vantage Point, Biblioshiny in R, and VoSviewer were used. The results present the topic addressed as a current trend in the scientific field in recent years. The analysis by countries exposes the Asian continent as a world leader. On the other hand, the study of keywords highlights the importance of the three fundamental pillars of the research with a possible non-empirical relationship. The results show the proximity between artificial intelligence, clean production, and sustainability.
The system of General Sales Tax Deductions and Liquidity of a Service Company and Liquidity of a Transport Services Company - Peru de Transportes - Peru
This article aims to determine how the VAT deduction system affects the liquidity of TRANSPORTES 95-430 EIRL, Trujillo-2020-2021.research is quantitative, non-experimental design and descriptive-correlational level, with a population focused on TRANSPORTES 95-430 EIRL, Trujillo-2020-2021. In addition, documentary analysis was used as a data collection technique, it was found that liquidity was significantly affected in the company due to the non-compliance of the deposit in the deduction account of the bank of the nation by the purchaser of the services provided, generating a decrease in the liquidity of the company and affecting it for the cancellation of all the taxes corresponding to that period and reducing the investment of working capital. It is concluded that the application of the VAT deduction system reduces the company's liquidity, which reduces its economic and financial capacity to meet its short-term debts, as well as impeding the expansion of its business.
Influence of Business Management on Finance: Case Study Peru
The present work of investigation has for objective to describe the influence of the enterprise Management in the finances of the company Alexander Express L M S.A.C., Trujillo 2019-2020, since it has been seen that the company has had a planning for his economic growth executing an optimal management that has offered him favourable results. This research is of type Quantitative applied experimental design of non-cross-sectional cut and descriptive scope, with a population of research study element to the company Alexander Express L M S.A.C., and as a sample focused on staff who are related to the management of business management and finance of the company. As collection techniques used the interview and documentary analysis, which resulted in the company according to the ratios of liquidity, management and profitability reflects that manages its finances for any investment in the short and long term, according to its financial statements the company has liquidity to cover any investment with third parties, as a conclusion was obtained that the company there is a business management that positively influences the finances of the company.
Solar radiation as a source of clean energy: Calculation by Bristow-Campbell thermal amplitude model and validation, 2020
The objective of this research is to validate the thermal amplitude model of Bristow - Campbell to estimate the solar resource in the development of clean energy in the city of Huancayo (Junín - Peru) during the period 2020. The results obtained from the model were compared with the values obtained with the use of the pyranometer as a meteorological instrument, using temperature data. To estimate the available radiation throughout 2020, 732 data of maximum and minimum temperatures were downloaded obtaining 2 data/day for 366 days from the conventional meteorological station of SENAMHI installed in the province of Huancayo and for the validation process, 366 global data of solar radiation data measured by the pyranometer equipment on surface were used, the same that were downloaded from the Observatory of the Geophysical Institute of Peru (IGP) of Huancayo, the results of solar radiation estimated with the model presented an annual average of 6. 14kWh/m2/day and with the pyranometer a value of 5.76 kWh/m2/day, the regression analysis between the estimated and measured data shows a value of r equal to 0.90, with the variation of the estimated radiation of 6.15 ± 0.36 and the measured radiation of 5.76 ± 1.24 kWh/m2/day Thus, the use of the Bristow and Campbell model to estimate the global radiation in the province of Huancayo was presented as an adequate and efficient alternative.
Emotional state of the classroom through artificial intelligence to improve the teaching-learning process in a university
The objective of this research was to develop an application that allowed facial recognition using artificial intelligence to identify the emotional state of students and thus improved the teaching-learning process within the virtual classroom at a university. The methodology used was a data science model based on convolutional neural networks that collected information from the students through facial biometric analysis using an application developed in Python where the different emotional states of the students were determined in real time during the sessions. virtual class. The results obtained show that through facial recognition various emotional states can be perceived during the class session of the students who must have a camera on, even if they have low image resolution, these results are shown to the teacher globally by each emotional state to determine the situation in your classroom and thus can improve your teaching-learning strategies. It is concluded that when the teacher identifies the emotional state of his students, he can improve his classes by motivating the students and this allows him to fulfill the competencies of the course, in the same way, it is concluded that the security of the information is maintained by destroying the images in real time of the participants once they have been processed and evaluated before being shown even to the teacher
Web system and sales management in technology companies
The objective of this study was to know the relationship that exists between the web system and sales management in technology companies, through a systematic review between 2017 to 2022. Databases such as Scielo, Scopus, Ebsco and ScienceDirect were used for the study. The search for empirical studies in allowed the identification of 30 scientific articles directly related to the variables web system and sales management, the Prisma methodology was used and after applying the exclusion criteria through the process in a flowchart were purged 19 studies for being within the exclusion criteria. As a result, 11 scientific articles were obtained for the analysis of our research. It is concluded that the companies that have implemented a web system achieved better results in sales management improving their profitability this means that there is a significant relationship between the feasible ones because it has been found that the greater the investment in the use of these systems, the greater the sales management generating profitability. Keywords-- Web system, management, sales, profitability.
Quality management in the supply chain integrating the ISO 9001 standard and the PMBOK project guide
In modern times, it is very important that organizations prevent delays or deviations in their processes, which is why quality management exists, which is a set of actions and tools that allow a company to guarantee the quality of your products and/or services. The main objective of this research work is to propose a quality management model for the supply chain applying the fundamentals of the PMBOK guide and the ISO 9001 standard. As part of the results obtained through the statistical software SPSS in its version IBM 25 and the observation sheet tool, from the warehouse, dispatch and picking area growth was observed in the post test with an increase from 0.307 to 0.658 achieving a response of almost double that found in the pretest. Also, it was concluded that there was a positive increase of 12.5% at the leadership level, of 8.2% at the planning level and the operation level, it is determined that there was a growth of 17%, granting a better operational maintenance, with which it is stated that there was greater precision in the scope of the integrated model, making visible a continuous improvement in supply chain management.
Education and environmental management of solid waste in Peru, in the period 2012-2022: A review of the scientific literature
Environmental education is one of the topics that promotes sustainability and ecological awareness among people to care for our planet. The management of solid waste consists of the correct segregation of the materials generated by human activity to reduce the harmful effects on public health. Currently, these issues are relevant, due to the pollution generated throughout the world and it is essential to generate aspects of environmental culture in society. For this, a systematic review was carried out with the main objective of knowing the level of education and environmental management on solid waste in Peru in the last 10 years, through research journals found in databases such as Ciencia Latina, Scielo, Dialnet, Researchgate and DOAJ, where only 20 scientific articles were included according to the objective and methodology aligned to the topic. The results obtained were medium-high for urban areas and medium-low for rural areas. In addition, the limitations of the research were the little research study, the English language, and the restricted access to databases. It is concluded that with a good environmental management plan, the state of environmental education in each department of Peru can be improved.
Generation of daily flows using the GR4j Method and the ERA5 gridded climate information in the Mala basin up to the La Capilla station
Given the recurring extreme rains and the increase in river flow in many basins on the Pacific slope, the Peruvian government is considering building river defenses to prevent future floods and overflows. One of the most affected basins is that of the Mala River, which suffered the overflow of the waters of its main channel in March 2017, causing serious economic and material damage. Doing an exploration in the basin, it was found that there is a hydrometric station in the main channel of the Mala River called La Capilla, which has valid daily records between the years 2018 - 2020. Unfortunately, this number of records is insufficient for any study. hydrological. It is for this reason that the purpose of this research was to be able to generate daily historical flow records based on the ERA5 gridded climate information of satellite origin. These data were used in the French GR4j model, obtaining excellent R2 correlation values in its calibration, validation and data extension, which allowed us to generate a flow record at daily flow between the years 1980 and 2020. These records will be useful for future projects against future overflows of the Mala River.
Environmental impact of a design for a solid waste plant in the Francisco Morales Bermúdez market
At present, the excessive demand for solid resources is affecting ecosystems and generating negative impacts on the environment, one of these reasons is the generation of solid waste, which is why there is a need to provide methods, techniques and procedures to reduce these impacts. The objective of this study was to analyze the environmental impact of a solid waste plant in the Francisco Morales Bermudez market. For this purpose, a design of a solid waste plant was developed to reduce the negative impacts that operations such as solid waste management and wastewater discharge generate, which is why we used the Conesa matrix to identify the impacts before and after the application of the design. Finally, it was concluded that the application of the solid waste plant design has positive impacts on the environment, i.e. the physical factor, as well as positive impacts on the occupational health of the personnel of the Francisco Morales Bermudez market.
Optimization of Drilling and Blasting Processes through Mathematical Models to Increase Productivity in the SE Cutting Nv. 1680-Tingo Mine, Compañía Minera Poderosa S.A.-Pataz-Peru, 2022
The objective of this research work is to determine the choice of a mathematical model to redesign a drilling and blasting mesh in the cut SE Nv. 1680, through the analysis of the rock mass, the analysis of the process and elements involved in drilling and blasting, and the study of the mesh that is being used, in order to optimize the drilling and blasting processes and thus increase productivity, taking as reference several studies in which productivity has been improved through the choice and correct use of one or more mathematical models. This pre-experimental, applied, retrospective and cross-sectional research, collecting data through documentary analysis, RMR, GSI, drilling and blasting parameters, and the field notebook. Analyzing the rock mass, the current drilling and blasting process, the current mesh, which allowed optimizing the process. Achieving the redesign of the mesh, which directly impacted in the optimization of the processes and increased productivity, generating a reduction of 18.87% per shot, which means a monthly saving of S/. 49140 nuevos soles in the SE Cut Nv. 1680 of the Tingo Mine in CMPSA, Pataz.
The audiovisual narrative in videogames. A systematic review of literature between 2012 and 2022
This research is presented as a systematic literature review that compiles the main studies about narrative in video games in order to answer the question of what the trends of these research regarding the narrative of videogames in these last 10 years are. For this, a bibliographic review of the articles indexed was carried out using different databases such as Scopus, ProQuest, Ebsco and Science Direct between the years 2012 and 2022.
Use of biodiesel from used oils in the last ten years: A review of the scientific literature
Biodiesel from used oils is a biofuel that was born out of concern about the increase in greenhouse gases and the poor disposal of waste used oils. Based on this, the present work aims to determine the performance of biodiesel from used oils according to the research journals published in scientific databases in the last 10 years. For this, a systematic review was carried out using mainly the ALICIA and Scielo databases, between the years 2012 and 2022. Through the exclusion and selection process, 23 articles were selected for their topicality and relevance. When analyzing the articles, the result was that to generate biodiesel, transesterification through NaOH is mostly used, being the one with the highest yield with 98.82%. On the other hand, the limitations that were visualized were the exclusion of several articles due to their age and their different methodologies. From the analysis carried out, it is inferred that having a high percentage of yield will generate an optimal biodiesel from used oils, which gives a high viability and benefit both for the environment and for society.
Economic Valuation of noise by contingent method in the district of Jesús María, in the year 2022
The objective of this research work is to determine the economic valuation of noise by a contingent method in the district of Jesús María, in the year 2022. Therefore, a descriptive investigation was carried out, with a quantitative approach and non-experimental design. The sample was to survey 382 people who live and work in the district of Jesús María, which will help to recognize the perception of noise and its economic valuation. The technique used was the survey and documentary analysis. The instruments used were a questionnaire containing 18 questions and a data record sheet. The results show us that 77.17% of the surveyed population are willing to pay an amount to mitigate the noise. In the case of the remaining 22.83% participants who do not wish to pay, the reason most frequently given was "I do not wish to pay" In addition, the estimate of their willingness to pay was between s/. 6.00 to s/.8.00 soles quarterly. This study concludes that the population of the Jesús María district has a positive willingness to pay for the implementation of a project to reduce vehicular noise, since there is a negative perception towards noise.
Electric power generation through dairy waste in microbial fuel cells
Abstract– The increase in the human population has generated that the consumption of different types of dairy products also increases, because it is one of the main foods in the diet in the early life of each human being. This has caused the waste of this type of food to increase in the same way, which is why a way to use it eco-friendly has been sought, found in microbial fuel cells a way to generate electricity in a sustainable manner. In this research, milk waste was used as fuel in microbial fuel cells on a laboratory scale, managing to generate electrical current and voltage peaks of 4.125 ± 0.347 mA and 1.104 ± 0.101 V with an optimum operating pH of 7.46 ± 0.35 whose electrical conductivity of the substrate was 119.373 ± 4.59 mS/cm, all this on day 21. Likewise, the maximum power density was calculated at 443.765 ± 26.738 mW/cm2 with a current density of 5.257 A/cm2 and showing a voltage of 1005.78 ± 13.54 mV, all this operating with an internal resistance of 61.795 ± 8.691 Ω. Finally, the three microbial fuel cells were connected in series, managing to generate 2.66 V, enough to light a red LED light. In this way, an innovative way of generating electricity on a small scale is given, giving great hope to livestock companies to reuse their waste in a beneficial way for themselves.
Predictors and outcomes of organizational culture and service quality in a Peruvian natural gas company during COVID-19: A cross-sectional study
This article is the result of the diagnosis of the study of organizational culture in the engineering sector during the COVID-19 pandemic from 2019 to 2021. Likewise, studies on organizational culture are increasingly important in the current scenario, due to the influence as an intangible asset in the engineering sector, which is why this article aims to know the organizational culture and the relationship it has on the quality of service of a Peruvian company of Natural Gas, which contributes to the proper functioning and permanence of efficient work in organizations over time. The methodology used was quantitative approach, basic type, non-experimental design, causal correlational level and transactional scope, the sample was of 245 collaborators, two questionnaires were used, one for organizational culture with 15 items and the other for service quality with 16 items. The results were as follows: 21.2% (52) of the organizational culture variable was at a regular level 11.8% (29) stated that the quality of service was at a regular level and 9.4% (23) expressed that the quality of service was at a good level. Of the 78.8% (193) of the good level of the organizational culture variable, 11.8% (29) state that the quality of service has a fair level and 66.9% (164) state that the quality of service has a good level. It is concluded that the variability of the quality of service depends on 19.8% of the organizational culture in a natural gas company in Lima, Peru during the COVID-19 pandemic, therefore, at such a level of significance to achieve a good organizational culture should be put enough emphasis on the collaborators of the Peruvian company in order to enhance leadership, work approach and values, to achieve an effective and efficient quality of service to customers.
Customer Relationship Management Systems (CRM) and Loyalty in the financial sector.
The financial sector promotes the growth of national economies, providing financial services and products that enable capital resources for organizations, allowing their growth and expansion. In this sense, to achieve success in organizations that operate in such a complex market and of such importance for the development of countries, it is necessary to promote technology aligned to the use of customer relationship management systems, seeking to better understand their needs and meet them satisfactorily with the aim of generating a commitment to the brand or company. It was considered that there is an average positive relationship between CRM and customer loyalty with a spearman correlation coefficient of 0.540, which allows validating that companies immersed in this sector need to take advantage of digitization and technological tools to respond to the needs of its customers, whose response to this will be loyalty and fidelity, which translates into long-term competitiveness.
Activated Carbon Filters in the Infiltration Field of Basic Sanitation Units - Cajamarca
The present investigation aims to incorporate activated carbon filters in the infiltration field of Basic Sanitation Units (UBS) with hydraulic drag to improve the quality of the effluent. For this, two UBS from the La Manzanilla town center were used, in which a prototype was adapted in such a way that it resembles an infiltration field with activated carbon filters and that allows effluent samples to be taken to the laboratory and determine the concentration of substances to then be compared with the LMP established by MINAM. The results show the average removal of the following parameters after passing through the activated carbon filter: 94.95% of total solids in suspension, 79.75% of Biochemical Oxygen Demand (BOD), 82.00% of Chemical Oxygen Demand (COD) , 99.45% oils and fats and 64.50% thermotolerant coliforms. Concluding that this wastewater treatment allows a removal of physicochemical and microbiological substances below the Maximum Permissible Limits (LMP) established by the Ministry of the Environment (MINAM), improving the quality of the effluent, with the exception of the thermotolerant coliform parameter that exceeds the LMP.
Methodology to improve profitability in a company textile industry through the improvement of the recruitment process and selection of human resources using Lean Six Sigma and Digital Transformation
Micro, small and medium enterprises MIPYMES) represent 90% of the companies incorporated in the world, its importance is such that they generate between 60% and 70% employment and 50% of GDP the Peruvian case is not different from this context since MSMEs generate 85% of employment and contribute to 84% of GDP. These companies develop their productive and commercial activity in different economic sectors among which is the textile and clothing this sector the which represents 7.2% of the gross domestic product (GDP), concentrates approximately 700,000 workers and comes growing at rates of 40% average in recent years. Without However, despite the dynamism and importance of this sector, the productivity is extremely low this is due to different factors, one of these being human capital management this factor is related to poor selection processes, recruitment and training of personnel, which makes it difficult for these companies have at all times workers who have with competencies required to perform in the processes production and thus boost the competitiveness of this sector. For overcome these deficiencies, it has been established as the main objective in the following investigation to implement an agile model and efficient in the selection, hiring and training processes, to reduce staff turnover and contribute to the improvement of productivity based on Digital Transformation and Lean Six Sigma methodology
Single Minute Exchange of Die (SMED) to improve productivity in the industrial sector. A systematic review of the literature from 2012 to 2022.
Objective: To know the bibliometric and engineering aspects regarding the management of the SMED tool to improve productivity from a systematic review between 2012 - 2022. Methods: Using the keywords, a systematic search of articles in English and Spanish was carried out in the databases Scielo, Redalyc, Dialnet, DataScope, ScienceDirect, Elsevier, EBSCO, Core, Publisher and Google academic published in the study period with a total of 10 databases. The evaluation of SMED tool management to improve productivity in industrial companies was carried out by analyzing engineering and diagnostic tools, as well as the effects on productivity in various industrial organizations. Result: Most of the research was conducted on the management of the SMED tool where 61% improved productivity in the industrial sector considering the review of 18 articles where 10 of them mention the importance of implementation and application of the SMED tool in industrial companies as it reduces preparation time and increases productivity. Conclusions: The SMED tool in industrial companies achieved a 42% improvement in time, 35% improvement in productivity, 15% improvement in costs and 8% reduction in wastage.
Study of the morphological characteristics of nanoparticles synthesized by biogenic method
The green nanotechnology (biogenic method) is recognized for its broad advantages in different branches of the scientific field. In recent years, has been defined as an innovated field, related to the development of methodologies with little environmental contamination. In this research, the PRISMA methodology was applied, considered some selection criteria (Open access, language, quartile), obtaining a total of 31 investigation. This research concludes the direct influence of the extract and the size of the nanoparticles, and in that this factor is highly variable due to the dependence of its properties on their phytoconstituents and the territory. furthermore, a trend in the formation of spherically shape nanomaterials was identified. and finally, it is recognized that through the biogenic synthesis the formation of nanostructures was crystalline, obtaining a considerable level of purity in each nanoparticle considered.
Evaluation of the influence of polypropylene fiber on the flexural strength of rigid pavements
The low resistance of concrete and its exposure to vehicular overload generates the premature propagation of different types of failures in pavements, such as fissures and cracks that allow water to enter the lower layers, decreasing their resistance and damaging its structure. In this article, the evaluation of the resistance of concrete reinforced with polypropylene microfiber in the presence of bending stress was carried out. To improve the performance of concrete, various studies related to how to increase the mechanical properties of concrete recommend the incorporation of materials such as polypropylene fiber. In this study it was evaluated for the percentages of 0.75%, 1% and 1.5% by volume of concrete. The incorporation of fiber to the concrete generated improvements in resistance compared to unreinforced concrete. The laboratory results showed that with the addition of 1% fiber the flexural strength improves by 38% even after reaching its maximum strength compared to the conventional mix. Likewise, through numerical analysis in the ANSYS software, the mechanical properties of the concrete were evaluated, and the appropriate percentage of polypropylene was determined based on the least deformation.
Biometric recognition model using deep convolutional neural networks and computer vision
Authentication of the person by means of unique features such as finger veins is used in various fields such as security. In this research, a verification method based on convolutional neural networks with the help of computer vision is proposed. Through experimentation, it was possible to create an artificial intelligence model that shows the measurements of loss and precision when verifying the images of a data set. Finally, it is concluded that the loss of biometric recognition, the lower the percentage, the better the model performs. For the modified VGG16 model, 40 epochs were carried out for training, while the Mobilenet was 50 epochs. Additionally, at the end of the execution, the proposed architecture finished in 13 minutes and 45 minutes.
Heavy Metal Pollution Assessment in surface and groundwater in the Ponce Enríquez mining area, Ecuador.
Mining activities have been carried out in Ponce Enríquez for more than 40 years. However, illegal, and anti-technical mining practices have caused pollution and environmental degradation of the water resources. This study aims to assess the pollution degree of surface and groundwater in the Río Tenguel and Río Siete watersheds. Eighteen water samples from rivers and wells were taken, and the concentration of Pb, Fe, Zn, Mn, Cr, Cu, As, and Cd was analyzed. The level of water contamination was evaluated by applying the Metal Index (MI). As a result, an enrichment in the concentration of Cu, Pb, and As was evidenced, which exceeded the maximum permissible limit of the Ecuadorian regulations, up to 128, 12, and 10 times, respectively. Regarding the MI, 60% of the surface water samples were seriously affected, where the Siete river is the most polluted. These results reveal an overview of the pollution degree in Ponce Enriquez water resources, and this information can serve as an input for decision makers on water protection issues.
Implementation of the Criteria Comparison Matrix to reduce costs in a Textile company
This article aims to show the impact of the implementation of engineering tools in the mitigation of problems present in the production and logistics áreas in a textile company located in the district of San Miguel (Lima-Peru) the problem being the high rate of materials refusal to suppliers generating stops due to lack of the main material causing an increase in the cost of production. Consequently, a need appears regarding the possible solutions for this problem. To meet this objective, the Criteria Comparison Matrix tool was proposed after a previous evaluation of realistic restrictions, historical data of the main and secondary suppliers was used for the design, the study was complemented with the linear regression simulation, resulting in a reduction in production costs of a total of S/ 160.00 per month. Finally, the economic viability of the implementation was evaluated, resulting in an IRR of 17%, a NPV of S/ 1,275.44, in addition to a B/C of 7.51.
Effect of glass fiber on the permanent deformation of numerically modelled wearing courses in ANSYS
The continuous increase in the number of heavy vehicles usually causes that the wearing course present greater permanent deformation in less time, due to its low resistance to traffic loads. Given this, different laboratory studies have tried to reduce permanent deformation through the application of additives, such as glass fiber. That is why the present investigation analyses the effect of glass fiber on the permanent deformation of a numerically modelled wearing course in ANSYS. First, the mechanical properties of asphalt mixtures with different percentages of glass fiber were collected, in order to represent their values as a material in the numerical model. Then, the simulation of the Marshall stability and flow test was carried out to configure the materials created in the software. Finally, the numerical model of the wearing course was solved, and its permanent deformation was obtained. The results indicated that glass fiber reduces the permanent deformation of the wearing course by an average of 15%, unlike mixtures without fibers. In addition, it was established that the ideal percentage range that can be applied to the mixture to improve its performance is 0.25% - 0.40% glass fiber.
Relationship between Burnout Syndrome and Job Performance in Secondary Education Teachers.
Emotional health in the development of the human being plays a very important role because the result of their daily and work activities depends on it, in this context, the present research aims to determine the relationship between burnout syndrome and work performance in teachers of the José Carlos Mariátegui school, Pomacochas - Amazonas, 2021. The research is of non-experimental design and the hypothetical inductive-deductive method was used and the type of study was descriptive-correlational with a quantitative approach, the finite sample consisted of 30 teachers the instruments used to evaluate the population were the Maslach Burnout Inventory test and the Work Performance Questionnaire, both elaborated based on the standards established in the Likert scale. The variables were correlated with Pearson's test through the SPSS program in its latest version Statistics 28.0.1, the results describe a negative inverse relationship, i.e. the lower the burnout syndrome the higher the job performance, there being no significant relationship between the two variables, it is concluded that, despite having burnout syndrome, Mariateguistas teachers have a good job performance due to the demands of the school and their self-motivation.
Vehicular Conflict Assessment on a Road with Lane Reduction Using the SSAM Methodology
In this study, an evaluation of vehicular conflicts in a road segment that forms part of a signalized intersection, which is characterized by persistent traffic congestion, is performed. This road segment is plagued by a reduction in lanes, variable lane widths, and a lack of uniformity, leading to the formation of a bottleneck that triggers a whole branch of conflicts between vehicles. In order to carry out the assessment, VISSIM, a microsimulation software, was utilized. This software was used to model the real-life situation at the intersection, and two new scenarios were devised. These new scenarios involved proposals for the geometric redesign of the road segment infrastructure, with the aim of analyzing the variability in the number of vehicular conflicts. For automatic conflict counting, the Substitute Safety Assessment Model (SSAM) was employed. Vehicular conflicts were classified according to their collision angle at crossing (crossing), collision angle at rear end (rear end), and lane change (Lane Change), as well as their severity levels in relation to time to collision (TTC). The results reveal a count of 3916 conflicts in the microsimulation of the real-life situation. The first proposed scenario resulted in a count of 2231 conflicts, a reduction of 43% compared to the current situation, while the second scenario resulted in a count of 3835 conflicts, a reduction of 2%. The average values of the TTC oscillated between 0.52 and 0.70 seconds, which indicates a high risk of collision on the road.
Evaluation of the visibility distance with the Istram program on third-class roads with a high accident rate
In Peru there are many roads where accidents occur due to their inadequate geometric design. The most incident traffic accidents are side crash or collision with a percentage of 42.73%, and confusion with 20.19% [1]. This shows that it is necessary to carry out a redesign in this road that seeks to reduce the percentage of accidents in the area. For the case study, a section of a 3km highway located in Santiago de Chuco north of the city of Lima was used. Thanks to the photogrammetric record made of the current state of the road, sectors with geometric deficiencies were identified, such as visibility distance and safety in terms of precariousness in the use of signage. Likewise, the evaluation carried out in the stopping and overtaking visibility distance concludes that with a constant speed of 30 km/h there are sections or sections that do not meet the necessary distance for its route
Geochemical and Environmental Assessment of Heavy Metals in the Gulf of Guayaquil 2019-2021
This study seeks to contribute to the knowledge of the current situation of heavy metal pollution in the Gulf of Guayaquil (GG), an area where multiple productive sectors are developed and where most of the country's mangroves are located. The objective of this research is to evaluate the geochemical behavior of heavy metals in the gulf by estimating the degree and distribution of pollution in the period 2019-2021. Data were obtained from monthly sediment chemical reports provided by the company CGU S.A. Concentrations of As, Cd, Cu, Pb and Zn located at 7 points in the GG were analyzed. The accumulation zones and the degree of pollution were determined by indexing methods. The data were correlated and a cluster analysis was performed to determine possible sources. Accumulation and pollution of Cu and Cr were found in 3 estuaries in the city of Guayaquil. In 2020 there was a higher degree of pollution than in the other periods. The areas with the highest accumulation showed a higher load of sediment pollution. The level of ecological risk in all periods remained low. The possible sources of contamination are associated with anthropogenic activity from the different productive sectors around the gulf.
Service model based on Lean Service: Standardized Work and 5S to increase customer satisfaction in a veterinary SME
Companies in the veterinary services sector face the challenge of providing optimal customer service. This sector contributes 40% of the national Gross domestic product and concentrates 48% of formal employment. Considering that, customer satisfaction is one of the key factors to achieve good results in our organizations. The low level of this was identified as one of the main problems of the sector, which may be due to different inefficiencies such as low service quality, unsatisfied demand, extended service times and long waits. In this way, a model based on the Lean methodology and the application of 5S tools and standardized work was developed to increase customer satisfaction. It was validated by conducting a case study in a company in the sector located in the Peruvian province of Callao. The results showed an increase in workers efficiency to 90%, a 4.8" decrease in tools searching time and a 25% increase in the Net Promoter Score.
Production model based on lean manufacturing and SLP to increase productivity in an apparel sector MSME
In this scientific article, an integrated production model is presented to face the problems faced by a company in the clothing sector, which has low productivity, much lower than the industry standard. For this, in the said model, the use of VSM as a diagnostic tool, the application of lean manufacturing tools (5S Kanban), and systematic layout planning as a solution to the problems presented by the analyzed pajama manufacturing company. With the application of the proposed integrated model, it is planned to increase the company's competitiveness, increasing its productivity by 23.86% to reach the industry standard. Furthermore, after analyzing and comparing the simulation results in the Arena Simulator software of the current situation and the proposed integrated production model, an increase of 30.61% in the company's productivity was observed. This result is due to increased efficiency and effectiveness and reduced waiting times and transport waste.
Development of algorithm for the recognition and detection of drowsiness in interprovincial transport drivers
The purpose of this research is to explain the detection through the development of an algorithm for the recognition of drowsiness in drivers, making use of image processing, which is achieved through the application of artificial vision with PYTHON software and facial detection techniques. The application of this project is developed in the transportation sector, within the area of interprovincial service. For the development of this project several steps have been considered. The first is to know and recognize the face of the people so that through recognition can be detected each of the important points for analysis. One of them was both the right eye and the left eye which, through a strategically located camera, can detect the person by capturing an image, then the software can recognize and measure parameters of distances between the dimensions that have the eyes and the time they generate a blink or an extension of the blink. This software recognizes and with the mentioned parameters, makes a decision to define whether or not there is a state of drowsiness within the analyzed processing. Finally, when detecting a defined number of prolonged blinks, it alerts by means of a message that the driver is in a drowsy state. It was determined that the design of the algorithm detected and recognized 100% of the people analyzed. Also, 150 tests were performed which showed a system effectiveness of 99%
Model Based on Machine Learning for the Recognition of images for the Postural Diagnosis of workers in Remote mode
This article presents the development of an artificial vision system for the recognition of postures focused on remote modality workers, being a suitable model to work with anyone, regardless of their age, race, sexual orientation or size as the objective of this work is to implement remote work to determine the challenges and possibilities of using this type of work and identify factors to consider before implementation. The work is justified because it is essential to determine if this modality is efficient to carry out the correct measurement of the worker's posture. Having as a result that the angle of 120 ° and 60 ° reveals possible causes of back pain and injuries caused by poor posture or incorrect postural hygiene This means that when the user is sitting in the correct 90° degree posture, it avoids causing serious back injuries in the long term.
Post pandemic: the teaching of chemistry based on socio-scientific controversies in initial engineering students
Applied Chemistry is a course that is included in most science majors, especially Engineering. While the teaching of chemistry faces its own difficulties, the pandemic has made the need for adjustments more apparent. The purpose was to replace face-to-face laboratories and facilitate student motivation and engagement. In this sense, the science of education offers psycho-pedagogical strategies that can be effective in helping students learn chemistry, without forgetting the relationship with their future professional performance. Strategies such as Problem-Based or Project-Based Learning (ABP) and the flipped classroom, among others, are teaching-learning methodologies that are applied in the courses with this objective. Any active methodology requires students to be involved in their own learning. This implies a design that considers the cognitive abilities of the student, their self-regulation, and their emotions. So, taking this fact into account, laboratory experiences were carried out at home, appropriate simulations and learning activities by means off situational controversies. All activities were focused on scientific issues, related to the experience and current events of the students. We present a research project, in its initial phase, to examine the effectiveness of including socio-scientific controversies in chemistry undergraduate courses, as a technique to promote meaningful learning and increase student interest.
Implementation of an automatic attendance recognition system using QR generated in Python for small and medium-sized companies
At present, SMEs are a large part of the economic sector of Peru, and gradually the internal control of its employees has become a very important factor, because with a better accuracy of their daily record employees can be more efficient and generate favorable results against production, be paid with the corresponding payment of their extra activities so that the employee retribute to the company in the same way, so in this research will be mentioned about the attendance control of employees in companies. The objective of this research is to implement an artificial vision system with QR reader to control the attendance of employees in small and mediumsized companies. For the development of this system, we made use of different software such as Python version 3.10.7, Visual Studio Code and OpenCv, as well as specialized libraries such as PyQRCode, png, QRcode, numpy, among others for the coding of the three stages of the implemented system. Obtaining positive results in the total average efficiency of the project with 98.70%, indicating that this system of implementation proposed for the recognition in the attendance control of the collaborators of a company, can be executed effectively in any area.
Obtención de espectros de respuesta de piso en un edificio de concreto armado implementado con disipadores viscosos: aplicación al análisis sísmico de un tanque de almacenamiento
Ante un evento sísmico, los elementos estructurales y elementos no estructurales (ENE) son propensos a sufrir daños que los destruyan total o parcialmente. Por ello, su protección es indispensable, más aún, en edificios para alojar centros de salud, el cual es el refugio y primer lugar de auxilio ante un evento catastrófico, como los sismos. Por tanto, el empleo de sistemas de protección como los amortiguadores de fluido viscosos (fluid viscous dampers, FVD) son una buena opción para la disipación de energía sísmica y mejora del desempeño. Aun así, los ENE como tanques de almacenamiento, tabiquerías, cielos rasos, tuberías colgantes, requieren de un sistema de anclaje que les permita mantenerse estables y no ser un peligro. Por esto, en el presente artículo se analiza una estructura de concreto armado de ocho niveles implementado con un sistema de amortiguamiento adicional por medio de disipadores fluido-viscosos y evaluar su capacidad para disminuir los desplazamientos y aceleraciones durante actividades telúricas, siendo el objetivo principal plantear la construcción de espectros de piso, los cuales se obtienen luego de calcular las historias de respuesta de cada nivel mediante un análisis historia de respuesta FNA. La aplicación de los espectros de piso se realiza mediante un análisis de respuesta espectral para obtener las fuerzas de anclaje en un tanque de almacenamiento. En este trabajo no se considera el efecto de la rigidez del líquido en el tanque. Los análisis realizados en el edificio muestran una máxima disminución de las aceleraciones, en el octavo piso, en un 78% en el eje X e Y, después de adicionar los FVD. Por otro lado, se evidenció que las fuerzas de anclaje que requieren los tanques de almacenamiento van incrementándose a cuanto mayor sea el nivel de piso. Asimismo, en el eje X, la máxima disminución de las fuerzas de anclaje fue de 62%, correspondiente al tanque ubicado en el techo. Mientras que en el eje Y, también en el techo, se logra la mayor disminución de la fuerza de anclaje esta reducción ocurrió en un 63.1%. En ambos casos se logró la aminoración de las fuerzas con el uso del sistema de FVD.
ICT in the graduate profile of Latin American law schools according to the Scimago ranking
This study analyzes ICT in the graduate profile of Latin American law schools, according to the 2022 Scimago ranking. A qualitative analysis has been carried out based on the discourse or content of the profiles that have been disseminated through their Web pages. The profiles, in the field of ICT, show that this is developed as an instrumental or complementary competence, is used in a diverse way, serves as a basis for the elaboration of legal instruments and strategies, is related to other areas and allows the lawyer to interconnect with the global world of work.
The perceptions of law students and teachers on the development of virtual legal academic activities
In the present work, he analyzes the perceptions of the main protagonists of the teaching-learning process in the context of virtuality: students and teachers. It is important to study the perceptions about the experiences, uncertainties or challenges about the learning processes mediated by ICTs. A qualitative analysis has been carried out based on the discourse of both participants. The main categories have been systematized: asynchronous, synchronous moment and the mastery of technological tools. It is concluded that the main actors are adapting to the process of virtual classes and show active participation, but they also show some difficulties such as the connectivity problem, the little time they have to develop various tasks and, in some cases, the lack of mastery or knowledge of the digital tools and the virtual platform of the university.
Physical and mechanical properties of concrete pavers with the addition of demolition wastes as a sustainable construction product
Research that aims to evaluate the physical and mechanical properties of concrete pavers f'c=420 kg/cm2 by adding demolition residues, applied research, experimental design, the sample was 144 pavers. It is concluded that the physical and mechanical properties of concrete pavers f'c=420 kg/cm2 , improve significantly in the additions of 20%, 40% and 60% of demolition residues
Analysis of the physical and mechanical properties of adobe with the addition of sugarcane bagasse
The objective of this research was to determine the behavior of the physical and mechanical properties of adobe with the addition of sugarcane bagasse (BCA), Morrope 2022, using an applied methodology and experimental design. The sample consisted of 195 adobe units and 10 walls with the addition of (BCA) in dosages of 0%, 0.5%, 1.0%, 2% and 3%, designated for tests such as absorption, suction, dimensional variation, warping, resistance to wear by dripping, compressive strength in cubes and walls laboratory forms were used to collect data from these tests. The results showed that the absorption and suction increased as the (BCA) content increased having an increase of 31.25% and 126.67% respectively, the dimensional variation and warping decreased with the incorporation of (BCA) having more balanced values with the dosage of 2.0% of (BCA), with a dimensional variation of 0.53% in length, 0.70% in length, 1. 10% of height and a warping of 7.20 mm, the depth of perforation by erosion decreased by 30.94% and 47.67% with the dosages of 2.0% and 3.0% respectively, which exceeded the test, likewise, the optimum compressive strength was obtained with the 2.0% of (BCA), increasing by 48.96% for adobe cubes and 23.85% for adobe walls with respect to the standard adobe. It was concluded that the optimum dosage of (BCA) is 2%, improving both the physical and mechanical properties of the adobe
Effect of sugarcane molasses on the subgrade of a carriageway
La presente investigación tiene como objetivo determinar el efecto de la melaza de caña en la subrasante de la trocha carrozable Sol de Mayo, Laredo, 2022, donde se analizó las condiciones del suelo en un tramo de 1.8 KM de la vía, dentro del distrito de Laredo, se realizaron trabajos de campo y laboratorio. Para los cuales se procesaron los datos en función a mejorar la capacidad portante de la vía utilizando melaza de caña como agente estabilizador, incorporando a la subrasante porcentajes de 3%, 6% y 9% y así obtener varias condiciones y valores del CBR, con lo cual se respondió al objetivo general de la presente investigación. Finalmente, como resultado se obtuvo que existe una relación directamente proporcional, a medida que se incrementa el porcentaje de melaza de caña como agente estabilizador, consiguiendo incrementar y mejorar la capacidad portante (CBR) de la subrasante
Classification and shear strength of soil in an Educational Institution
Research conducted in an educational institution, the objective was to determine the relationship between soil classification and shear strength. For this purpose, a non-experimental cross-sectional design, correlational scope was used the population and sample was the soil the data collection techniques used were documentary review, interview and observation descriptive and inferential statistics were used in the data analysis. The problem is the deficiencies present in the pavilions and slabs such as fissures, cracks and sinking, which has been harming the students before the pandemic. A low plasticity sandy clay soil (CL) was obtained, ∅=19.311+0.203*LP with r2=0.874 and ε=0.073, and c=-0.768+0.576*γm with r2=0.921 and ε=0.004 according to SPSS software. It is concluded that the existing relationship between the classification and shear strength of the soil in the I.E. 80140 "J.F.S.C." was determined, and a Dashboard of soil shear strength was created, which will allow future projects to have better foundation designs and optimize costs in it.
Generation, disposal and impact of facemasks used during the Covid-19 pandemic in Lima in 2022
The objective of this thesis was to determine the generation, disposal and impact of facemasks used during the Covid-19 pandemic in Lima in 2022. A descriptive research was carried out, whose approach corresponds to a quantitative study, with a non-experimental cross-sectional design. The population and sample corresponds to the inhabitants of the department of Lima, with a finite population of 380 inhabitants. A virtual survey was used as a technique this instrument was validated by 3 experts with experience in solid waste management. The results show that the most commonly used type of mask generation was KN95, with the place of greatest use being public transportation and the time of use being 3 to 4 hours per day. The population indicates that they use approximately 11 to 20 masks per month according to the respondents, they dispose of them in the containers at home. It can be concluded that the population of the department of Lima does not adequately segregate masks and, consequently, the impact of masks can be seen on beaches, rivers, public roads and animals according to those surveyed, the animals most affected are aquatic animals.
Methodology to increase the level of service and the Profitability in a shoe trading SME imported using the forecast method of the Holt-Winter demand and inventory management in the era POST-COVID
Currently, in Peru, 84% of companies importers are SMEs, which sell products manufactured in other countries to meet the needs of Peruvian consumers. The dynamism of this activity is high and in the course of the first ten months of 2022 the total value of imports amounted to more than US$ 50,580 million, being 20.8% higher than the same period in 2021. Without However, despite the growth in imports, there are various external factors such as the exchange rate, the decrease in productive capacity of manufacturing companies, the high transport costs, the decrease in income of the buyers and among others, which have generated a series of problems to importers among which can be identified are the increase in supply costs, decrease in inventory turnover, increased logistics costs and others. This has contributed to an increase in its costs. logistics, decrease in productivity, decrease in profitability and finally a loss of competitiveness. For the Therefore, to overcome the previous problems, it is proposed a methodology based on the demand forecast and the management of inventories that contribute to solving the problems of the level of stock, service level and productivity in companies shoe marketers and whose final consequence is the increase in the profitability and competitiveness of SMEs in the it was Post Covid-19.
Artificial Vision System for the inspection of dates in industrial food products
The main objective of this work is to improve the efficiency in the inspection of dates in industrial food products through an artificial vision system using the Python language, which will make it possible to process the images for their subsequent classification between an image of correct or incorrect visualization, contributing to future studies and development of similar systems. It began by identifying the main problems that exist in most of the food industries worldwide. Likewise, based on the conclusions found in previously developed works. Once the theoretical base was obtained, we proceeded to identify the necessary materials to carry out this project and carry out the processing where the correct visualization of the expiration dates of said products is verified. At the end of the control, the approved products go to the dispatch area for marketing, otherwise, it will be rejected as a defective product. Various tests were carried out that conclude that the artificial vision system together with the Python language shows an efficiency of 97.20% reducing human error, proving its effectiveness in the quality process.
Importance of the natural coagulant Opuntia Ficus-Indica for the removal of turbidity in water, in the period from 2012 to 2022: A review of the scientific literature
Water pollution is a worldwide problem, which is why the use of traditional technologies is sought due to their potential and biodegradability, reducing the use of synthetic coagulants. That is why this research aims to identify the importance of the natural coagulant Opuntia Ficus-Indica for the removal of turbidity in waters worldwide according to the research journals of the database of the last ten years. Faced with this, information was consulted in repositories and in various databases such as: Scopus, ScienceDirect, Dialnet, Redalyc, Scielo, Alicia, Google Scholar, ProQuest, Researchgate and Iopscience. For the selection criteria of the articles and theses, the period 2012-2022 was considered, indexed journals, English and Spanish language, and that meet the research objective. Among the limitations is the slight information, private access and lack of knowledge of foreign languages. As a result, the highest turbidity removal was obtained with 99.56% and the lowest value with 50.5%. In summary, the natural coagulant Opuntia Ficus-Indica is important for its removal capacity, pH inalterability, biodegradable, without generation of toxic sludge and is not harmful to health.
Analysis of recovery strategies for construction and demolition waste in the last 10 years: a review of the scientific literature
This article from the scientific literature talks about recovery strategies for construction and demolition waste (RCD) that have been used nationally and internationally in the last ten years in such a way that they serve as alternatives to the problem generated by these materials. leftovers present on public roads because there is no comprehensive plan or recovery strategies for this waste because they do not receive sufficient attention from the competent national authorities. This research aims to analyze RCD recovery strategies of the last ten years. A systematic review methodology was carried out using different scientific journals such as Scielo, Alicia, Redalyc, BASE, REDIB and DOAJ. On the other hand, 5 articles and 1 theses were discarded because they were not related to the objective of the study topic and were not within the last 10 years. Within the limitations, it was observed that there are not many countries that carry out studies on RCD recovery strategies. The country with the largest number of studies is Colombia, with Latin America having the highest number of studies. Finally, the valorization strategies that were used were identified, which are recycling, added material, construction of sheds, bioremediation of degraded soils, manufacture of concrete, bricks, paving stones, earth blocks, precast and concrete. It was possible to reach the conclusion that the most used strategy is recycling since it is a relatively widespread practice in several countries.
Application of Geolocated Activities for Teaching the Fundamentals of Object-Oriented Programming and Software Modeling
This article describes an experience in the application of geolocated activities to teach first-year students of an engineering university education program, the fundamentals of object-oriented programming and software modeling, generating a motivating and effective environment for their learning. Object-oriented programming is based on general concepts that are known and applied by human beings in general in their daily lives, but its teaching creates challenges that must be faced, mainly due to its abstract nature. Software modeling is a very useful tool for any professional who develops software and it is best to learn it from the beginning of their university studies. It is shown that a teaching based on the application of geolocated activities to teach the concepts of object-oriented programming and software modeling is motivating and effective for students belonging to the Centennial Generation.
Model to increase profitability and customer satisfaction client in a veterinary clinic in Peru, in the Post COVID-19, using Lean Service methodologies, SCRUM and Digital Transformation.
Veterinary or Veterinary Clinics have gone increasing over the years in Peru, forming in the city ​​of Lima 474 pet stores and 640 veterinarians which They offer their services around 1.7 million households. The growing trend of having pets is being driven by millennials and centennials, who prefer to have pets instead of children, causing a trend not only in Peru but also In the world, among the main pets are cats and dogs. However, due to changes in habits generated due to the COVID-19 pandemic and the use of technology in all aspects of life of the group of people described has generated a change in the habits of use of this type of clinics, where the demand for service has grown. It also presents various problems mainly in customer service, where the main complaints are in a long period of time waiting to be served, non-standardized processes in the pet care, lack of stock of products, information deficient clinical history, among others. For this reason, the The main objective of this research is to increase the efficiency of the customer service process through Lean Service, SCRUM and Digital Transformation
Performance of 21 MPa concrete with the addition of gray cast iron chips in compression and flexural tests.
This research analyzed the physical-mechanical behavior of the incorporation of gray cast iron chips to a mix design of 21 MPa, subjected to compression and flexural tests, corresponding to an age of 7, 14, 21 and 28 days and 7 and 28 days carried out under the parameters of the NTP, acquiring materials from the main quarries of Trujillo, under a strict quality control, with a selected population of 72 specimens with a pure experimental research design, with a quantitative methodology. The compression results show that the optimum result was reached in G4 = 10%, being 11.27% more resistant than the standard concrete and achieving a resistance of 252 Kg/cm2 (120.16%) in compression tests while in traction the most optimum result is G1 = 0% (standard concrete), reaching 39.60 Kg/cm2 (18.86%). It is established that the incorporation of gray cast iron chips favors a gain in resistance to compressive stresses, while in tensile stresses the behavior of the concrete is totally different in all the study groups.
Experience in the Presentation of ABET Criterion 5 on Curriculum in the Accreditation Process of an Engineering Professional School
The present work shows the experience in the presentation of Criterion 5 of ABET on the Curriculum of an Engineering Professional School of the Universidad Nacional de San Agustín de Arequipa - Peru. It includes two aspects, the presentation of Criterion 5 in the Self-study Report and the presentation of the evidence before the ABET evaluation team. The recommendations to follow to avoid deficiencies, weaknesses, concerns and observations for this criterion in an accreditation process are highlighted, the key points to achieve accreditation are also detailed, and the results obtained by applying the recommendations proposed for this criterion within an accreditation process with ABET
Methodology to increase the profitability of a Peruvian agro-export company by improving the sales process using the methodologies of Blockchain and Digital Transformation.
The export activity has the purpose of selling products or services to markets outside the country's borders producer, because they have comparative advantages with respect to those manufactured or generated in the countries consumers Among the main advantages of exporting are find obtaining foreign currency, job creation, improvement sales and profitability of exporting companies and the income of fiscal resources for exporting countries. In it Peruvian case, exports increased by 11% in the period January to September 2022, which represented an income of US$ 47,827 million compared to the same period of last year. This growth was due to the increase in prices and volumes marketed, it should be noted that the main destinations of the products were China, the United States, the European Union, Japan, South Korea, Canada among others. One of the main exported products is quinoa in bulk, which is later is processed in the country of destination to offer the product finished generating added value and higher benefits. This product has been increasing its export volume due to because it is considered a functional food since it contributes to reducing the risk of various diseases and promotes an improvement in health, its protein value and the amount of amino acids is higher than that of other cereals, which contribute to the process of generating energy, learning, memorization, neural plasticity, liver function, gastric, immune and cardiovascular system. For this reason, It has been established as the main objective of the present research to promote quinoa sales processes packaged and processed to increase the profitability of a Agro-export SME through Blockchain and Transformation Digital.
Effect of the application of work study on the productivity of a manufacturing company-Peru
The main objective of the research was to determine the effect of the application of work study on the productivity of a manufacturing company. For some years now, worldwide, companies in this field have been seeking to improve their productivity, in order to compete in the market and satisfy customer requirements. This study was of an applied type, since it sought to verify the theoretical part with reality the design was pre-experimental with a quantitative approach, in addition the population and sample were the activities of the productive process of the brick. A check list, observation guide and data sheet were used as instruments. It was obtained as a result that the multifactorial productivity increased to 1,878 bricks for each sun invested, the labor productivity to 32,225 bricks for each man hour and the raw material to 0.105 kg bricks for each kg of raw material used. For all these reasons, it is concluded that the application of the study of work has a positive effect on the productivity of a manufacturing company, being evidenced by the increase in productivity, which went from 1,322 to 1,878, representing a variation of 42.1%.
Optimization of ultrasound-assisted extraction of bioactive compounds from asparagus (Asparagus officinalis) by-products and its application in silica nanoparticle synthesis
The objective of this work was to optimize the ultrasound-assisted extraction conditions (time, temperature, and ethanol concentration) to obtain the maximum content of total phenolic compounds and antioxidant capacity from three asparagus by-products (woody ends, foliage, and discarded spears). For this, a rotatable central composite design (RCCD) was used. In addition, the stability under refrigerated storage and the application as a reducing agent for SiO2 nanoparticle synthesis were evaluated in extracts prepared with predicted optimal conditions. It was observed that the asparagus by-products are a great source of phenolic compounds with excellent antioxidant capacity, being the foliage the residue that presented the highest levels (almost 4 times more than the woody ends and 3 times more than the discarded spears). The conditions that allow maximizing the levels of both TPC and AC were for woody ends (25 °C, ethanol 62%, 5 min) for foliage (30 °C, ethanol 56%, 10min) and for discarded spears (48 °C, ethanol 69%, 27 min). Under the optimized conditions new extracts were elaborated, finding that the TPC and AC levels were 6198.95±136.98, 30058.48±635.27, 9621.76±100.29 μg GAE/g d.m and 9726.45±231.47, 37163.48±1082.59, 17579.01±397.55 μg Trolox/g d.m for woody ends, foliage, and discarded spears, respectively, which were similar to the predicted values and remained stable throughout 24 days of refrigerated storage. Finally, the application of the optimized extract from discarded spears was evaluated as a reducing agent in the process of synthesis of silica nanoparticles. The spectrophotometric characterization evidenced the formation of silica nanostructures, with possible mesoporous spherical morphology and semiconductor characteristics.
Application of Lean Manufacturing and its effect on the productivity of a brick company in Peru
In the present investigation it was possible to demonstrate the relevance of applying Lean Manufacturing in an industrial brick company. The main objective was to determine the effect of the application of Lean Manufacturing on the productivity of a brick company. The type of study was applied, pre-experimental design, with a quantitative approach and an explanatory level. Tools such as the VSM, the 5s and the Kaizen were applied. The population was made up of productivity records in weeks for 6 months: from May to July and from October to December 2022, the sample was the same as the population, the techniques used to collect the information were observation and analysis. documentary analysis. It was concluded that the application of Lean Manufacturing increased productivity by 17% compared to the initial state. The Wilcoxon test was applied, having a significance level of 0.002, which allowed the acceptance of the alternative hypothesis.
Design of a Model of Good Practices for the Use of the Work Breakdown Structure in the Management of Electrical Projects for the Industrial Sector
Project management through scope management based on the Work Breakdown Structure tool, WBS, offers the possibility of improving project management indicators, pointing directly to the achievement of value for organizations. This investigation was able to identify that overconfidence and ignorance of the fundamental tools and techniques of project management is one of the reasons that directly and negatively impacts the scope, schedule and cost of electrical projects in the industrial sector. Additionally, it delivers an agile guide and EDT type that seeks to promote the use of basic tools and at the same time improve results.
ANALYSIS OF THE INFLUENCE OF THE USE OF SEISMIC DISSIPATORS IN BUILDINGS
Currently in the market there are diverse types of energy dissipation devices that are used both for installation in new structures, and in the reinforcement of some that are at risk of causing an accident caused by a large earthquake. The article that will be presented below has the purpose of analyzing buildings with energy dissipators, the response they generate in the face of a large-magnitude earthquake and the recommendations on seismic design to develop structural reinforcement strategies for old and damaged buildings that need it. The first part deals with the types of energy devices that are most used and efficient on the market. Subsequently, the application and performance for the design of buildings with dissipators are mentioned, in addition to the improvement obtained by placing it in deteriorated structures or on the verge of collapsing. On the other hand, the purpose of the research is to generate interest so that more people know about energy dissipators and how they can minimize damage to buildings and deteriorated structures in the event of an earthquake.
Implementation of Image Processing in Matlab for Prediagnosis in Ophthalmology
This research seeks to explain the implementation of image processing in Matlab and its relationship with the prediagnosis of eye problems as a basis for automating the process of medical image analysis in this field. The pandemic has generated a worldwide health crisis, but in our country a significant impact on the outcome of teleconsultations has been observed, since the challenge lies in the lack of clarity when visualizing the patient's eye through a screen. Therefore, we propose the application of a single-person booth that will allow real-time capture of the patient's eye and its respective analysis. In addition, to avoid contact, an infrared sensor was implemented to detect the entry of people into the booth. Finally, the processing techniques give us a clear picture and demonstrate that the project can be adapted to specific situations with the knowledge of mechatronic and biomedical engineering.
Artificial verification system on the use of safety elements
This article shows the development process of an artificial vision program through the Python 3.10.8 software, which verifies and detects if the person uses a surgical mask or cap (hair net or cap) or none of the surgical implements. safety, with the aim of identifying and supervising its correct use in work in the food industry. To start with the development of this program, libraries such as opencv, matplotlib, mediapipe, numpy, imutils and os were installed and used. Thus, these helped to detect faces and 3 programs were created: a program to obtain images (data) by means of video capture of images through the laptop camera, a neural network training program with the collected images and a program that detects and identifies the use or not of these implements. As results, after several tests, a 93.33% validation was obtained.
Proposal for optimization of inspections of electric poles using Lean tools and Last Planner System. An empirical research in Peru
The efficiency of the public lighting system in electrical maintenance services is essential and aims to ensure compliance with quality in established times. Currently, the company only achieves 59% of work in a period of 6 months, being the minimum set by the case study of 97% of the total work. This study proposes using Lean tools such as Standardized Work, Line Balance and Last Planner System. For this purpose, the process and the times required for the development of activities in different areas will be standardized. The next step will be to calculate the resources needed to start activities, culminating with planning and continuous improvement. The results were validated in the Arena software, one of the critical indicators being the planning effectiveness index (PEI), which is to be increased by 27% concerning the initial scenario.
Performance Analysis of Energy Dissipators Implemented in Buildings
The influence and performance of the different types of heat sinks are analyzed and determined, according to the results on percentage reductions of maximum distortions, maximum displacements and maximum drifts, identifying the one with the best performance. In addition, based on quantitative and qualitative research, informality in the construction process is investigated, determining the average number of existing informal homes, the causes of self-construction and, above all, the enormous vulnerability to telluric movements of structures that do not comply with earthquake resistant designs.
Analysis of concrete f'c = 175 kg/cm2, 210 kg/cm2, 245 kg/cm2 and 280 kg/cm2 of low permeability, subjected to high water pressures
The purpose of this work was to analyze the behavior of low permeability concrete with compressive strength f'c = 175 kg/cm2, 210 kg/cm2, 245 kg/cm2 and 280 kg/cm2 under high water pressure. During the development of this research, work was carried out in the concrete laboratory and 56 specimens were prepared at the age of 28 days, mainly for tests of compressive strength, indirect tensile strength and water penetration depth at a pressure of 50 m.w.p (meters of water column), according to the European standard UNE-EN-12390-08. Subsequently, through our data analysis we determined that the properties of concrete such as: slump, fresh unit weight, dry unit weight, compressive strength, indirect tensile strength, porosity, absorption, water penetration in concrete. These last two values are necessary to determine the permeability coefficient using the VALENTA equation. Finally, we conclude that concrete with a design of 210kg/cm2 is the most suitable for hydraulic construction, since it favors economic savings and avoids damage to society.
"Improvement of concrete resistance f'c= 210 kg/cm2 adding steel chips and fiberglass, Cajamarca 2022"
The present research work seeks to analyze and verify the resistance of concrete f'c = 210 kg/cm2 adding additives such as steel shavings and fiberglass, by carrying out tests in the concrete laboratory at the Universidad Privada del Norte - Cajamarca headquarters. The investigation is framed in an experimental way, considering as a hypothesis, to show that the addition of steel shavings and fiberglass to concrete f'c= 210 kg/cm2 is viable and profitable for construction, since these additives are accessible and economical. In the Peruvian market, all this was verified by comparing the compression tests at 7, 14 and 28 days, to corroborate the resistance of the concrete specimens carried out in the laboratory. Comparing the three types of concrete, the test tube that reached the highest resistance to compression and fracture was the concrete incorporated with fiberglass, obtaining f'c= 262.46 kg/cm2, being higher than that of the standard concrete and that of the concrete incorporating steel chip, with resistances of f'c= 234.61 kg/cm2 and f'c= 257.43 kg/cm2, respectively.
Space Resources on the Moon and Space Mining
Space Mining is the greatest challenge of the 21st century. The existence of space resources such as volatiles and oxides, metals, and water discovered in recent years on the Moon, Mars, and Near-Earth Asteroids indicate their grade would reach sufficient levels to supply raw materials for future human settlements in the solar system. Indeed, the materials on the lunar surface could also meet the current demand by the satellites in the Earth's orbit and reduce the costs of launching new flagship missions. Hence, space mining is the key to opening a new age of discovery, scientific exploration, and commerce. Although these topics have been extensively addressed in the last 50 years, technical information is scarce in Spanish for the Hispanic community. This document is based on an extensive systematic review covering 1987 - 2022 and includes maps of main resource distribution. In addition, it includes a high-level analysis of the mining and metallurgical concepts proposed, explaining the operational parameters and engineering challenges that provide a first approach to Latin American engineers and inspire them to be involved in this fascinating research area.
Education, culture and environmental citizenship program to raise awareness among the population of Ventanilla in Lima, Peru
The lack of environmental education and culture in the population generates actions against the environment. Therefore, each local government is responsible for preserving and promoting the conservation of ecosystems. Thus, the objective of this research was to evaluate the annual work plan of a municipal program of education, culture and environmental citizenship (EDUCCA), carried out in the years 2018 to 2020 in the district of Ventanilla in Lima, Peru. For the evaluation, a documentary review of all the activities raised and executed in the work plans of the years under study was carried out. Tests and surveys conducted by the district municipality of Ventanilla were also reviewed. The study indicated that, in 2019 there were better results compared to 2018 and 2020, training 107 school environmental promoters (SEP), 35 youth environmental promoters (YEP) and 78 community environmental promoters (CEP). In the same year, 5 events and 5 campaigns on environmental issues were held, observing greater interest from respondents in answering questions related to environmental issues and knowledge of the program. Finally, it is concluded that the municipal program EDUCCA promotes environmental education and culture among citizens, and serves as a model for other public entities to improve their environmental management policies.
Implementation of Government Analytical Accounting as a need to make transparent the information contained in the General Account of the Republic.
The objective of the present investigation is to determine to what extent the Analytical Accounting influences the control of the budgetary management of a Municipality. In previous studies, there are investigations that consider, to a lesser or greater degree, government accounting as a control factor of budget management in government institutions, which has not been widely developed in a municipality. The research was of an application type. The level of research was correlational, the influence relationship between the independent variable (X) versus the dependent variable (Y) was measured and evaluated. The method and design used for this study was correlational. The population of the present investigation includes the 50 most representative officials of the Municipality. The sample is the same as the population, that is, 50 officials, and the variables were evaluated through an applied survey using Spearman's correlation coefficient to determine the type of association, from which an acceptable correlation coefficient was obtained. According to the results obtained, there is a direct and significant relationship between analytical accounting and the budget management of a Municipality evidenced by a correlation coefficient of Spearman's Rho =0.824 that indicates a good significant correlation at the bilateral 0.05 level, with ρ = 0.000 (ρ 0.05), therefore, the main conclusion indicates that Analytical Accounting significantly influences in the Budgetary Management of a Municipality.
Eco-business and its influence on the environmental awareness of the traders of a supply market: The case of Ancieta market in Lima, Peru
Environmental awareness is a worrying factor that needs to be strengthened by raising public awareness in order to reduce environmentally damaging habits and attitudes. To this end, the research studied the influence of eco-business on the environmental awareness of traders in the "Ancieta" supply market in Lima, Peru. To assess the influence of eco-business, awareness-raising activities were carried out and evaluated on the basis of questionnaires for both a pre-test and a post-test in 59 traders. These awareness programs were related to environmental practices (efficient use of electrical energy, reduction of single-use plastic, recovery of used vegetable oil and waste management) and types of consciousness (conative, cognitive, active and affective). The results of the pretest showed that 91.5% of the merchants had a low level of environmental practices and in the posttest they obtained high and very high levels, corresponding to 84.7% and 15.3%, respectively. Concerning environmental awareness, initially, 86.4% of the merchants presented a low level of environmental awareness and in the post-test they obtained high and very high levels corresponding to 42.4% and 57.6%, respectively. Finally, it is concluded that eco-business had a positive influence on traders, suggesting that awareness programs are a strategy to improve workers' environmental awareness.
Interculturality and Internationalization in the design of the subjects of Introduction to Systems Engineering and Computing and Introduction to Industrial Engineering at Universidad Nacional de Colombia
This document describes the Transformation of the Subjects of Introduction to Systems and Computing Engineering, and Introduction to Industrial Engineering at Universidad Nacional de Colombia. This is in order to achieve the Interculturality and internationalization of curriculum. This transformation is supported by the Internationalization Model of the Curriculum in four levels. It states the national guidelines regarding the accreditation and internationalization of higher education in Colombia. It exposes the eight challenges that the subjects face for their Interculturality and Internationalization of the Curriculum, the foundations of Interculturality, the model and the design of the Subjects under these approaches. The design of the Internationalized Subjects implies: the definition of expected learning results, the presentation of innovative teaching-learning methodology, as well as the specification of teaching and learning strategies, and the methodology for authentic assessment and evaluation, which is designed in coherence and with respect to the achievement of the Intended Learning Outcomes of the students.
Design of a Logistics and Safety Plan to Reduce Costs in a Trading MYPE, Trujillo 2022
The objective of this investigation was to determine to what extent the logistics and security plan influences the costs of a commercial MYPE in Trujillo. Likewise, the methodology was of a descriptive-propositive type with a quantitative approach and cross-sectional design. In the diagnosis, it was determined that the logistics and security costs amounted to S/ 66,286, for which an improvement plan was designed according to ABC theory, MRP, EOQ, Monte Carlo simulation and IPERC. In this way, costs were reduced by 74.20%, which represented an amount of S/ 49,184. The economic evaluation was important to make the decision to invest in the improvement plan, obtaining a positive NPV of S/. 8,558, an IRR of 25.63% and a B/C of 1.24 that demonstrate its profitability for the company. It was concluded that the industrial engineering tools used were relevant to reduce costs.
EFFECTIVENESS OF TUTORING PROGRAM (PT) RESULTS IN ACADEMICALLY AT-RISK STUDENTS (ARA) IN THE SCENARIO OF SOCIAL DISTANCING DUE TO COVID-19 AT THE FACULTY OF INDUSTRIAL AND SYSTEMS ENGINEERING (FIIS) OF THE NATIONAL UNIVERSITY OF ENGINEERING (UNI) THROUGH STATISTICS PROCESSED BY THE PROPENSITY SCORE MATCHING (PSM) METHOD
A vast literature suggests that investment in education has implications for economic growth, especially in the long term. In this work, we explore the impact of a university program on students' academic performance, specifically the impact of the Tutoring Program on students' average grade in a regular academic cycle, under scenarios of social distancing (COVID-19). To evaluate the impact, the Propensity Score Matching methodology was considered, considering different matching techniques between treatment groups and control groups. It is concluded that in the absence of the Tutoring Program, the impact on students' average grade would be negative. Additionally, the methodology allowed us to consider students' intrinsic variables, thus evidencing that academically at-risk students can improve their average grades per cycle by approximately four points if they are part of the program.
Hydrochloric acid concentration and time to maximize lead and cadmium removal in laboratory wastewater
Abstract- Bioadsorption treatment of wastewater from a university chemical analysis laboratory was carried out using Chondracanthus chamissoi "mococho" algae as biomass, under study factors: hydrochloric acid concentration (1 and 2 N) and contact times (2 and 7 h) in a continuous flow bioreactor, in order to determine the combination of factors that maximize the removal of Lead (Pb) and Cadmium (Cd). A 2k factorial design with central points and the response surface method were used from the results it was found that the combination of the factors hydrochloric acid (HCl) concentration and contact time that maximizes the removal of Pb ions are 2.5 N and 6.8 h and the combination of the factors that maximizes the removal of Cd ions are 2.1 N and 22 h, determining that the study factors generate statistically significant differences in the removal of Pb and Cd.
Geopolymerization: Eco-efficient paste made with recycled concrete
In the present investigation, pastes from recycled concrete powder (RCP) with a particle size of 75 µm (200 mesh) were alkaline activated at different concentrations of alkaline solution (AS) in the order of 4M, 6M, 8M and 10M NaOH, which were compared with a paste made with ordinary Portland cement (OPC). For the preparation of the specimens, a ratio of SA/ PCR = 0.18 was used, which were cured at room temperature for 24 hours, then the curing was continued in an oven at 40°C for 72 hours and later the curing was completed up to 7 days at room temperature. The PCR was obtained from the pulverized concrete specimens tested at the Composite Materials Laboratory of the School of Materials Engineering - UNT. With respect to the compressive strength (CR) tests, values of 10.26 MPa, 10.75 MPa, 13.66 MPa, 25.53 MPa and 30. 10 MPa for the 4M, 6M, 8M and 10M concentrations of NaOH respectively, which represents increases of 5%, 33%, 149% and 193% with respect to the value of the CPO pastes, for the bulk density values the tendency was to increase with the increase of the NaOH concentration, being the highest value of 2123 kg/m3, for the specimen elaborated with a 10 M NaOH SA, which represents an increase of 24% with respect to the value of the CPO pastes. All the samples were evaluated by stereoscopy, from these observations it is concluded that the increase of the NaOH concentration decreases the apparent porosity of the pastes the pastes after being tested by compression were pulverized and characterized by FTIR, the spectra allowed to determine that, in the range of wave number from 700 to 1500 cm-1 Si-O stretching from the SiO4 tetrahedra is observed, at 870 cm-1 the vibrations of -CO3 becoming CaCO3 are observed, at 930 cm-1 the formation of hydrated calcium silicate gels (CSH) is observed, and above 3645 cm-1 the O-H stretching vibration of portlandite is observed.
Use of Moringa oleifera as a natural coagulant for turbidity removal in surface waters in the last 10 years: a review of the scientific literature
Synthetic coagulants can generate harmful effects on the health of the population, in addition to presenting high costs and producing a large amount of sludge. Therefore, the present systematic review aims to determine the percentage of turbidity elimination in surface waters of Moringa oleifera as a coagulant, according to research journals published in scientific databases, in the last ten years. For this, several databases were consulted, which were Alicia, Dialnet, Google Scholar, ProQuest, Readlyn, Renati, ResearchGate, ScienceDirect and Scielo. Where, 50 scientific investigations were selected, which were filtered by inclusion criteria until finally obtaining 22 investigations between articles and theses, from which the pertinent information to the study was extracted. It was achieved as a result, that the coagulant obtained from the seed of Moringa oleifera presents a high percentage ranging between 70% and 99% of turbidity elimination in surface waters. Despite the difficulty that arose when translating foreign articles, it was concluded that Moringa oleifera as a natural coagulant has high levels of turbidity elimination percentages in surface waters, especially if the seeds are adequately prepared to obtain the coagulant.
Use of the virtual platform and its impact on judicial processes in the Republic of Peru
The objective of this investigation is to "determine how the use of the virtual platform affects judicial processes in the Republic of Peru", this is because the Judiciary has created a virtual platform at the service of the administration of justice. The methodology applied is of a quantitative approach, for the data collection the survey was used as a technique and as an instrument a coded questionnaire with 22 closed questions to explore issues of satisfaction regarding the use of the virtual platform. The instrument was applied to 160 legal professionals distributed proportionally to all regions of Peru. After that, for data analysis, the information collected was objectively tabulated and thus determine the respective conclusions. It was shown that the use of virtual platforms favors the development of judicial processes, having a favorable impact on the accessibility, versatility, need, interaction, and content of said platform. On the other hand, the Judiciary is recommended to promote the use of the virtual platform in aspects such as request for certificates, forms, virtual classroom In the same way, update the websites and train the officials in the user service.
Formative Assessment in Virtual Education: A Mini Review
Formative evaluation in virtual education plays a fundamental role in today's educational process, making it necessary to know its development and application due to unforeseen educational modality changes. This is the case in which the problem found is that it does not exist. a unique way of carrying out evaluations that allow for improving educational quality. Being the objective of this to find the different ways of carrying out the training of academic evaluation through the investigations published by other researchers. The method used is PRISMA, which consists of searching for relevant articles to answer the problem and answer the objectives, through the analysis of the summaries of each investigation. As a result, there are 29 articles belonging to Dialnet, Scielo, Redalyc, and Scopus, which allows for more information on formative evaluation, finding coincidences and central ideas that delve into the subject, likewise, the discussion between authors or researchers come to have something in common, it is necessary to say that formative evaluations are necessary through a process that allows students to develop knowledge and skills. It is concluded that the formative evaluation allows not only to assess of what has been learned but also the entire process followed It generates motivation in students because it strengthens their self-esteem and makes them persevere in the development of their proposed activities.
Improvement of anchovy meal quality using six sigma and analytical tools in the supply process
The fishing industry began to be regulated with fishing quotas in 2008, defining an anchovy catch limit for each company, forcing the sector to operate optimally from capturing the anchovy and taking care of its processing. Among the activities is transporting the anchovy from the ship to the factory, ensuring that the anchovy is not damaged so that the transformation into the fishmeal is more profitable and a better quality The Six Sigma methodology will allow for diagnosing and analyzing the improvement opportunities, implementing and controlling them to be sustainable over time. The business analytics will allow the definition of the control plans for the selected variables with the Six Sigma methodology and, with the help of both ways of working, define Poka yokes in the process. We get an improvement of 0.5 in the sigma level, equivalent to a profit of $2.5 per ton.
Comparison of flocculants and natural coagulants for wastewater remediation in South America in the last 10 years: a review of the scientific literature
Wastewater pollution has been causing great concern throughout the world in recent decades since it seriously affects flora and fauna and transmits diseases such as typhoid fever, dysentery, cholera, among others. Therefore, in the present systematic review, natural flocculants and coagulants for the remediation of wastewater in South America were identified and compared, according to research journals published in scientific databases, in the last ten years. Information from scientific articles and academic theses belonging to the SciElo, Redalyc and Google Scholar databases was used considering the period 2012 - 2022 and the Spanish, English and Portuguese languages. 60 articles were identified, of which 10 that did not meet the research objective were discarded, reaching a total of 40 articles and 10 selected theses. A greater number of studies from Colombia was found, followed by Peru and Ecuador. One of the main limitations was the lack of command of the Portuguese language, since 4 articles written in that language were identified. Likewise, being South America the study area, limited articles related to flocculation and natural coagulation were found, of which 50 were selected for the present systematic review. As a result, the most effective species for the remediation of wastewater were identified. It is concluded that the most outstanding species Moringa oleifera "Moringa" and Opuntia ficus-indica "Tuna" present an efficacy for the remediation of wastewater in South America as flocculants and coagulants with an average removal percentage of 89.88% and 85.13%, respectively.
Preparation and Characterization of Hydroxyapatite Obtained from Bovine Bones
According to certain research, feedlots are a major source of unseparated solid and liquid organic wastes and residues, which contaminate the air, surface waters, and groundwater. Cattle bones are typically discarded before being fully exploited, therefore hydroxyapatite can be extracted from this bio-waste in an affordable, environmentally responsible way that adds value. The current research was carried out to examine the influence of the particle size of hydroxyapatite sintered at 1000 °C obtained from bovine bone to estimate its compressive strength and porosity in order to offer it a practical approach and enhance its long-term mechanical properties. The stoichiometry of the bovine bone powder was determined by a thermogravimetric analysis (TGA), which demonstrated that it is suitable for producing hydroxyapatite. Cleaning, boiling, drying at 150 °C, burning at 400 °C, and calcining at 900 °C were all performed on the cow bones. They were further crushed and sieved using screens of 300, 150, 75, and 53 mm aperture diameters. By uniaxially compacting specimens of hydroxyapatite powder at a pressure of 1 MPa and sintering them at 1000 °C, the specimens were created. By analyzing the sintered hydroxyapatite powders using X-Ray Diffraction (XRD) and Scanning Electron Microscopy (SEM), the powders were given a specific character. When samples with various grain sizes were evaluated, those with a grain size of 53 mm and a porosity of 44.24% had a greater compressive strength of 2.53 MPa.
Preventive maintenance to increase the availability of the production machines of Novagro-Ag S.A.C. Trujillo - Peru
The objective of this study was to implement the preventive maintenance program to increase the availability of the production machines of the company NOVAGRO-AG S.A.C.-Trujillo -2022. The research had a quantitative approach, was applied, with an explanatory level and Preexperimental design. Techniques such as observation and documentary analysis were used. In addition, a convenience sampling was applied to the critical machinery. As a result of the study, the powder mixer was identified as the machinery with the highest level of criticality and a Failure Mode and Effect Analysis (FMEA) was applied on it. Finally, the implementation of a preventive maintenance program allowed to increase the availability of the Powder Mixer in the production area of NOVAGRO-AG S.A.C. - Trujillo - 2022, which went from an initial availability of 87.35% to a final availability of 95.02%.
Use of neural networks to differentiate wrist movements using muscle signals
Currently, technological advances in bionics are considerable, providing the user with the possibility of regaining the ability to hold the elements and an adequate rehabilitation. Proper placement of electronic equipment on the prosthesis allows reading of muscle signals from the forearm, however measurements are mainly focused on the movement of the fingers when wrist movement is paramount to ensure a greater number of possible movements for the hand, for this reason, the use of processing algorithms as a neural network reduces dependence on these electronic equipment. In this research work, an algorithm of a mechanical control has been designed considering the six movements of the wrist, bending, extension, radial deviation, cubital deviation, pronation and supination using sensors that record data every 0.5 seconds by storing 50 signals per movement for neural network training. For best results, the training process was performed in the Matlab Program using its Deep Learning Toolbox package with a very near zero error. As a next step, two tests were performed on the neural network, the first with four movements of the wrist with a result of 88.9% accuracy and the second using the six movements of the wrist with a result of 92.9% accuracy. In addition, a validation was performed between the training and the tests performed with a regression with Pearson R correlation results for the neural network. The results indicate that deep learning and electronic elements favor the training of a neural network to control the movement of the wrist.
Hydrochemical characterization of water in Santa Rosa community, southern Ecuador.
This study aims to evaluate the quality of surface water, groundwater and tap water through the analysis of physicochemical parameters and hydrochemical composition. For this purpose, surface water, tap water and groundwater samples were collected. The sampling was carried out in the dry season (November 2022). Physicochemical parameters such as pH, electrical conductivity, temperature, and total dissolved solids were analyzed. In addition, the concentration of major ions HCO3–, SO42–, Cl–, NO3–, Ca2+, Mg2+, Na+ and was analyzed. The results indicated acidity conditions in 25% of the surface water samples, mainly in mining environments. Surface water samples are mainly HCO3- - SO42- - Ca2+, while tap water is HCO3- - Ca2+. On the other hand, in groundwater the ions Cl– - Na+ - K+ was predominant. The spatial distribution of the major ions showed a higher amount of SO42- in the mining areas, Los Gringos streams and El Panteón, while along the Santa Rosa river the predominant ion was HCO3-. Groundwater has high Cl– contents in the urban core, which may be related to anthropogenic pollution. These results evidence the need to implement monitoring and control strategies of the human activities carried out in the Santa Rosa city to guarantee the quality of the water in the study area and therefore the safety of its consumers.
Inter-institutional cooperation management model as a patrimonial strategy: Kuntur Wasi Case
Currently, many kinds of organizations have sought to generate alliances and promote projects that encourage identity in society. So, it seems to have a clearer scope of how these good practices are having a positive effect or not in local society. For this reason, a case was identified in an archaeological site, which marked a turning point in the conception of history in northern Peru, as well as in the understanding of the origin of the andean civilization in a big picture. Kuntur Wasi, an archaeological site discovered by the Japanese Archaeological Mission, has shown the world how cooperative work can emerge in local communities, and with it, stand out the participation in a model that allows archaeological sites to be configured as spaces of value for society. This research is carried out in a qualitative approach, through observation in the site and interviews with residents, whose results are evaluated and analyzed with the perspective of projecting a replica of these good practices carried out in the town of Kuntur Wasi. Finally, the main conclusions obtained from the field visit and analysis work are compiled.
Digital information management for research in engineering students
Abstract- Currently, ICT has allowed the emergence of various digital tools that facilitate the research process. Given this, universities must assume the transfer of capabilities for their adequate use in this area. Therefore, the purpose of this research is to perform an analysis of the information management capacity for research in Peruvian engineering students based on three capabilities: search, selection, and processing. In the sample of 310 students, the results show a medium-level prevalence with an average of 69.4% in the three skills. This implies that universities and research centers should implement systems to accompany students in the development of strategies and procedures for them to carry out research efficiently.
Design of a radio frequency robot for the analysis of farmlands of avocado crops in Peru
Avocado is a fruit with high export demand, in Peru with an economy based on agriculture, this fruit occupies third place as an agricultural export product. To control a better quality of production of this fruit, it is necessary a constant control of the characteristics of the agricultural soil, however it is done slowly and costly for the farmer of low or medium production, which generates greater possibilities for loss of plantations and consequently a decrease in export possibilities and economic growth. For these reasons, a robot has been developed for the analysis of agricultural land in avocado crops using radio frequency allowing an analysis of the various factors of agricultural soil that influence the growth of avocados, such as: humidity, pH control and macronutrients Nitrogen, Phosphorus and Potassium. In addition, a simple interface was developed so that, after collecting the data, the farmer can read the results in multi-layer colored maps and perform the necessary actions to take care of the plants in a shorter time that is currently done.
Videogames and their Impact on Education as a Teaching-Learning Tool: A Systematic Review of the Literature between the Years 2012-2022
The video game industry has grown in recent times and its use in the educational field has been happening cautiously, since there are still doubts regarding its contribution to the learning process. The objective of this research was to know the impact of video games on the teaching-learning process to provide success stories and recommendations for their correct application. A systematic review of the literature was carried out based on the results of the Google Scholar database, using the key terms "video games", "teaching", "learning" and "education”. Literature reviews, original articles and reports published between the years 2012 and 2022, written in Spanish and English, were selected. The initial search obtained 101 documents, of which 28 articles were selected and included in the review, applying the inclusion and exclusion criteria. It was possible to identify the positive impact of video games in the teaching-learning process, but studies of larger populations are still pending, not only at a local level.
Development of a new fertilizer material from the shell of the inga feuillei for ecofriendly pens using design thinking
The writing is inherent to the human being, initially goose feathers were used with ink or reeds to then move to plastic pens, however they are disposable or easily replaced in the face of some loss due to their low cost, but this attracts an increase in environmental pollution as very few plastics are properly recycled. Today, alternatives have appeared to use eco-friendly materials such as paper, cardboard, coconut shell waste and bamboo, However none of these alternatives is really eco-friendly under a circular economy where the manufacturer must consider a significant added value. Therefore, using the innovative product design methodology of Desing Thinkins, we propose a pen with an ergonomic design with a seed at the tip manufactured with a completely organic material such as fertilizer with good properties in macronutrients such as NPK. The result of this research is that the proposed material requires less energy than its current competition to be effectively used as a fertilizer with a significant result since it does not require to be burned to use as a biocarbon or ash and has high ranges in the macronutrients analysed in the laboratory, in addition to being completely organic and requiring water to initiate its degradation as compostable material.
Control of a drinking water quality monitoring and pumping system
Abstract– Climate change, energy saving and access to water are issues of great interest to society. Now, thanks to the advent of the Internet of Things and microcontrollers, numerous potential applications have opened up. This paper proposes the design of a pump control system and monitoring of drinking water quality. This system is usually applied in the industrial area, however, here it seeks to incorporate it in rural and urban areas, for use in buildings or homes. This manuscript describes the automation of the process of filling water tanks. Unlike other similar systems, this one can automatically fill the tank and monitor the water quality in real time to anticipate its respective maintenance. The ESP32 was used as the main controller, which acquires the values measured by each of the sensors. Sensor data can be viewed from a mobile app via a Bluetooth connection. Finally, the implementation of this automated system is described through a prototype, where the data is shown in real time.
Implementation of a Smart Data Center for a UNFV virtual medical center in Teleconsultation and Telediagnosis for the care of people in times of pandemic 2022.
Abstract– This research project will allow to obtain according to the objectives set to save lives and reduce the mortality of vulnerable people in times of pandemic, the use of Smart data center technology being important to reduce costs and increase its efficiency within the health emergency situation. The frequency of medical appointments before and after Teleconsultation in times of pandemic will be optimized, the results obtained in the methodology proposed in the project being important, as well as reducing mortality and giving continuity to the service. According to the result obtained, it is possible to improve the care of patients with Covid 19, giving them adequate treatment remotely, fulfilling the objective of improving care in health centers in the established population. The design and implementation of the Smart data center for teleconsultations allows us to optimize services and reduce waiting times as it is automated. The conclusion will be to reduce the deaths of patients affected by COVID 19 and the prevention and fight against the pandemic being a contribution of the FIEI-UNFV to society.
Variation of compressive strength in artisanal and industrial brick walls due to the inclusion of two additives in the sand-cement mortar
The present research work focused on the variation of compressive strength generated by the increase in the resistance of mortar with the inclusion of additives. The processes for the elaboration of the test specimens were carried out in accordance with the Peruvian Technical Standards (NTP) as well as the International Standards, (E.070, NTG 41050, ASTM C270-10). Different tests were carried out to obtain as a result the axial resistance of the mortar – brick, after the design of mixing the mortar without additive and the mortars with additive (lime and HT-SikaLatex) with percentages of 4% and 6%, bricks of type II and solid type classified by their resistance and origin (artisanal and industrial) were used to estimate the variation of compressive strength in the piles of masonry units, specimens were tested with mortar without additive and specimens with mortar and lime or HT-SikaLatex, with the proportions of 4% and 6%. To determine this resistance, the physical-mechanical properties of the materials used were previously verified, considering the standard laboratory tests for both the materials, as well as for mortar specimens and brick piles with mortar complying with current regulations. The results show that the compressive strength of the stacks of masonry units tested is directly related to the amount of additive increased for any of the types of brick and additive, being able to generate increases between 1.28% to 6.99% for walls with artisanal brick, and from 1.80% to 3.90% for industrial brick walls, reaching the smallest and highest increase with the additive Cal at 4% and HT-SikaLatex at 6% respectively.
Numerical simulation of an informal dwelling fire in the colombian context
Informal settlement fires have been recognized as a global problem, affecting thousands of people annually and representing an extensive risk for millions. Informal settlements are characterized by poor infrastructure, lack of access to vital services, and flammable construction materials. This paper presents a simplified numerical simulation of a Colombian informal dwelling built with Guadua. The temperature and heat flux results are compared with respect to an informal timber dwelling. A sensitivity analysis of the mesh, computational domain, and burner configuration is performed. The results show that the properties of Guadua reduce the flashover growth rate, the heat fluxes at the door and window, and the maximum temperature of the enclosure compared to a timber dwelling. These results provide an opportunity to understand Colombia's informal dwelling fire damage and could afford to develop security strategies in the most critical areas.
Process Management for the Service Quality of an SME in the Gastronomic Sector
The objective of the research was to determine the influence of the implementation of Process Management on the Quality of service of an SME in the gastronomic sector. The study was longitudinal, experimental, mixed. The population was 800 clients. A questionnaire validated by expert judgment and reliable (Cronbach's α of 0.855) was applied to 260 clients, an interview with the General Manager and non-participant observations were carried out at the company's facilities. The situation of the SME was diagnosed, through the Ishikawa diagram to know the problems of different areas and EFE matrix. The operational processes were diagrammed and documented, with their respective files and indicators. The result of the pretest was 58.40% and in the post test 65.40%, with a variation of 12% in customer satisfaction. The percentage of completion of the processes went from 66.17% in the pretest to 82.94% in the posttest, with an improvement of 25.34%. Through the Wilcoxon hypothesis test, it was determined that the Quality of Service of the company has a significant influence (p = 0.00 0.05) between before and after the Implementation of Process Management. The feasibility of the project was determined with an initial investment of S/.9 515, a NPV of S/. 14,254 an IRR of 71.1%, a B/C ratio of 1.84.
Influence of fine sediment concentration on the hydraulic gradient for water flow in pressure pipes
The hydraulic transport of sediments in circular ducts that work under pressure is subject to changes in flow conditions that basically affect the pressure losses due to friction and therefore the hydraulic gradient of the flow which depends on the concentration of sediments in suspension. In this sense, in the present work the dependence of the sediment concentration of the water-fine sediment mixture on the hydraulic gradient of the flow was analyzed, for this experimental laboratory tests were carried out, in Polyvinyl Chloride (PVC) pipes with nominal diameters of 1/2", 1" and 1 1/2" for water-sediment mixtures of the ML type (clay silts), with concentrations by weight (Cw) of 1%, 3%, 5% and 7%,taking as a baseline the flow for clear waters (Cw=0%). In this sense, it is evident that there is a positive linear correlation between the flow rate of the water-sediment mixture and the hydraulic gradient (Sf) for all the concentrations studied, also fulfilling that for the same flow rate at the highest concentration of fine sediment in the mixture greater is the hydraulic gradient and vice versa. While for the same system of conduction under pressure at a higher concentration of sediments, the flow rate is lower and therefore the hydraulic gradient is also lower. On average the increase in the hydraulic gradient generated by the flow of water mixtures with fine sediment clay silt with concentrations of 1%, 3%, 5% and 7% for flow rates between 0.9 m/s to 1.8 m/s in PVC pipes, is met: for diameter 1/2" goes from 14% to 128%, for pipe diameter 1" goes from 37% to 373% and for pipe diameter 1 1/2" goes from 14% to 1" diameter pipe from 68% to 811%, increments measured over the baseline of hydraulic flow gradients with clear water.
Strategic Planning for the Competitiveness of a SME in the Commercial Sector
The objective of the research was to design a strategic planning model for the competitiveness of a small and medium-sized commercial sector enterprise. A cross-sectional, descriptive, non-experimental study was carried out by applying a questionnaire validated by expert judgment to 98 customers (Cronbach's alpha 0.852). The internal analysis (MEFI) resulted in 2.24, and the external analysis (MEFE) in 2.58, with an MPC matrix of 3, which determines that the company adapts to its competitive environment. Strategies and strategic objectives were selected and aligned through the PEYEA matrix, showing a position with low turbulence and a competitive advantage. The MIE analysis indicated selective development for growth with a cost of S/5,659. The ecological and social impact was also evaluated, showing the importance of an eco-friendly mindset and a good working environment.
Business Intelligence Model for Decision-Making in a Gastronomic Sector MyPE
The objective of the research was to design a business intelligence model for decision making in a SME of the gastronomic sector. The study has a qualitative, applied, prospective, cross-sectional, observational and non-experimental approach. The population consisted of 2000 clients and a sample of 50 clients determined by convenience. A survey was validated by expert judgment with a reliability of 0.86 Cronbach's alpha.For the situational diagnosis of the SME, the MEFE and MEFI matrices, Porter's 5 forces, PESTEL, MPC AMOFHIT and value chain were used. The requirements of the model were determined for the design of the database that allows the construction of the Data Mart and ETL. The estimated investment for the implementation of the model is S/.1 9065, taking into account personnel, equipment, materials, software and services costs. Finally, it was determined that the SME would save 45% by generating reports and increase its sales by 55%, in order to minimize service and production times and improve customer satisfaction by 100%.
Influence of Climate Variability on the Spatio-temporal Dynamics of the High Andean Wetlands of the Chicllarazo Microbasin. Period 1988-2022.
High Andean wetlands fulfill ecological and socioeconomic functions, such as water regulation, sustaining a diversity of fauna and flora, providing forage and recreational spaces. For this reason, they are considered fragile ecosystems due to their ecosystem functions, the diversity of species they harbor, and their dependence on water. Therefore, due to the instability of climatic conditions, the present research aims to evaluate the influence of climate variability on the spatiotemporal dynamics of wetlands during the period 1988-2022, for which climatic data and Landsat 5, Landsat 8 and Sentinel 2. The spectral classification of wetlands was carried out using NDVI within the range 0.436 to 1. The trend of climatic variables was determined using the Mann Kendall test, and the influence of climatic variables was determined using ANOVA and Kruskall Wallis. The result indicates that only cumulative precipitation influences wetland spatiotemporal dynamics (P 0.05, R2=0.4838, ε2 = 0.431) with a moderate effect and 48.38% dependence on precipitation.
Refrigeration system process improvement to increase the productivity of lamination cylinders in a steel company
: The scientific and technological progress resulting from globalization made industrial companies seek to obtain higher quality, productivity, costs, technology in their processes and delivery of their products and services that they offered, complying with international standards that allowed them to be more competitive. The steel companies have been evolving and the manufacture of steel is part of the economic growth of the country, through a process of high technological level, the steel mills are the protagonists of this rebirth of steel and after a process of hot mechanical deformation the bars are obtained construction that are used for the manufacture of buildings, transport bridges, infrastructures, among others. Within the process, premature wear of channels of the rolling cylinder was identified, causing daily stops to change channels in the rolling stand For this reason, the refrigeration system must be redesigned to prolong the useful life of the rolling cylinders, improving productivity, reducing downtime, minimizing unsafe conditions for employees and reducing waste in water resources
Anaerobic Co-digestion with different concentrations of whey and cow dung in biogas production
In this research, it was examined the potential of whey for the optimization of biogas production by anaerobic co – digestion with cow slurry. It was used a two-component multifactorial – design, where it was studied four batch type - biodigesters of 4 liters in laboratory scale with different whey concentrations (0%, 10%, 30%, 50%) and dilute cow dung in relation 1:1.5, each one in three replications. The experimentation was performed under temperature control of 35°C±2°C pH control between 6.4 to 6.9 by addition of NaOH 3N with an average of 7% of total solids and a holding time of 35 days. Below these conditions, the 2nd biodigester with 10% of whey, it was the one which generate the largest amount of biogas with 37.9 liters in total the 3rd biodigester, with 30% of whey generates 24.2 liters of biogas and the 4th biodigester, with 50% of whey generates 14.5 liters. Total solids reduction in biodigesters were 38.5%, 43.4%, 40.2% and 27.6% respectively. It was used Gompertz model, that allowed to found high grades of correlation grades oscillating between 86.295% y 94.268%. Therefore, it can be established, that the use of whey duplicates the biogas production until 52% and sets a limit of 30% (v/v) to obtain a good biogas production in batch type biodigesters.
Submerged fermentation effect in cup quality of two varieties of Peruvian special coffee
The consumption of special coffees has been gradually increasing and affecting in their prices, not only for the domestic market but also in the foreign market. The different methods of coffee processing will directly influence the cup quality. Taking this into consideration, this study has as an objective evaluated the cup quality of two varieties of Peruvian special coffee subjected to submerged fermentation. This research was done in a Central Composite Rotational Design (CCRD) containing four factorial experiments, four axial experiments and three core repeats. It was evaluated the cup quality of two varieties of coffee subjected to different temperatures (8, 9, 12, 15 and 16 °C) and fermentation times (48, 62, 96,130 and 144) submerged in relation 70:30 having as a result that the geisha variety presents greater values than 86 points, continued by caturra variety with less values than 85.75 points, with temperatures above 16° C and times between 90 and 100 hours.
Software Applications for the Social Inclusion of People with Disabilities: A Review of the Scientific Literature of the last 10 years
The present systematic review aimed to analyze how software applications contribute to social inclusion contemplating the type of disability, the role and the global context in the research of the last ten years. A systematic review of research was carried out considering an information collection procedure based on the inclusion and exclusion criteria, with the adaptation of the PRISMA methodology. The selection of investigations obtained 118 results for meeting the established criteria. The disabilities with the highest contribution in software were hearing impairment (23%) and visual impairment (23%) while autism (7%) and Down syndrome (7%) were the disabilities with the least attention. Among the countries that have offered the largest contribution, Ecuador stands out (32%), followed by Colombia (17%) and Mexico (16%). The function of the software that stands out is the educational context (51%) and inclusive technology software (27%), with medical diagnosis and treatment software (12%) and software for work and daily life (10%) being the lowest contributions.
Effectiveness of nutritional strategies for reducing methane gas emissions by cattle, in the period 2012- 2022: a review of the scientific literature
Livestock is one of the most important activities, however, it contributes to global warming, becoming one of the major sources of methane emissions. It should be taken into account that diet manipulation is one of the efficient alternatives that allows modifying ruminal fermentation, improving nutrient assimilation and, therefore, reducing methane. Therefore, in this systematic review, the efficacy of nutritional strategies for the reduction of methane gas emissions in cattle was determined through the compilation of research journals published in scientific databases in the last 10 years. Information from undergraduate, master's and doctoral theses and articles from journals indexed in Scopus, Dialnet, Redalyc, Science Direct considering the period 2012-2022 and the Spanish, English and Portuguese languages was used. As a result, it was obtained that the variation of methane emissions is related to the amount of feed ingested and the quality, defined by digestibility and fiber content. It is concluded that sunflower oil, linseed oil, starch oil and Leucaena leucocephala present an efficiency of 21.5%, 38%, 12.8% and 61% respectively in reducing enteric CH4 emission.
Quality standards for the probative value of the Expert Accounting Report, under a technique and method approach
The general objective of the investigation was to determine the importance of quality standards for the probative value of the Expert Report, type of basic investigation, descriptive level, quantitative approach, information collection technique was the survey and as an instrument the questionnaire, elaborated under the Likert scale, the validation was based on expert judgment, the population made up of 77 professional accountants, duly registered in the corresponding Registry of the College of Public Accountants of Cajamarca, Peru, the sample made up of 38 professional accountants, was used Inductive method, the main results were that the quality standards with respect to perception are very important for the probative value of the expert report, with a coefficient of 4.38 and a rating of very important In the same way, the Induction with a coefficient of 4.48 and a qualification of very important and finally the technique or opinion also considered as very important with a coefficient of 4.56, likewise the accounting experts use techniques of analysis, argumentation, calculations, technical method, documentary review, explanation and justification, apply methods such as the scientific one and perform calculations of the margin of error, among the main conclusions were that the quality standards for the probative value of the expert Report are very important and must be subject to joint consideration in such a way that it allows expert professionals to develop their service in a transparent and reliable manner, thus ensuring the probative effectiveness of expert reports
Evaluation of the Compressive Strength of Concrete 175 Kg/cm² Adding Coffee Husk
The objective of this investigation is to evaluate the compressive strength of concrete f'c=175 kg/cm² with the addition of Whole Coffee Husks (WCH) and Ground Coffee Husks (GCH) in percentages 0.5%, 1.5% and 2.5 % with respect to the weight of the fine aggregate in the concrete mix. The investigation is of the experimental type with a quantitative approach, where a total of 63 units of standardized cylindrical concrete specimens are sampled. The instruments used for data collection were the formats established by the laboratory where the tests of the aggregates and concrete were carried out, for data analysis Excel spreadsheets were used. In the results it was obtained that the optimal addition is 0.5% in the case of the CCE and 1.5% in the case of the CCM, since they improve by 8.69% and 3. 68% respectively the compressive strength of concrete at 28 days of curing. On the other hand, the additions of 1.5% and 2.5% of CCE and 0.5% and 2.5% of CCM, generated a decrease in resistance of 12.45%, 23.42%, 13.98% and 29.59% respectively.
E-learning in the Teaching-Learning of Distance Higher Education: A Review
Currently, higher level educational institutions are linked to the internet and ICTs as a consequence of the COVID-19 state of health emergency, the purpose of the study was to analyze e-learning in teaching-learning in distance higher education. The main theoretical approaches, strategies and tools used in the teaching-learning of the engineering career at a higher level were identified. The systematic review of scientific articles was used with the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) method applied the approach (PRISMA) Applying the Kitchenham approach. The search strategy consisted of choosing the databases: Scopus, Web of Science and Scielo with the use of Boolean operators (AND, OR) to perform unions or combinations with the previously chosen keywords and descriptors. The final result obtained 38 articles published between 2019 and 2023. Conclusions: regarding the theoretical model, 18 articles have been used, 26 articles were analyzed on the most frequent strategies and 26 were determined regarding the tools used by teachers and students, within the impact conclusions it has been inferred that appealed to the use of different models and strategies for teaching-learning based on e-learning, using online digital and audiovisual tools as the main tools.
The challenge of nanotechnology in the field of agricultural applications: Nanofertilizers as an emerging technology
In recent years, the constant challenge of finding cost-effective and sustainable alternatives has become a difficult task for researchers worldwide. Although it is true that scientific advances have been rich in this branch of green chemistry, there are still methodologies to be perfected. This systematic review was elaborated in relation to nanotechnology and its application in the agricultural field as a nanofertilizer, with the objective of providing the scientific community with information on the latest advances in research on the application of nanoparticles (NPs) as new emerging technologies, in favor of the phenological development of plants and/or crops. It was determined that, although nanofertilizers as emerging technologies contribute in great percentage in the structural development of the phenological characteristics of the plant, there are side effects, so it is important to take into account the background, in order to achieve the incorporation of this new green technology in agricultural development.
STUNNING IN THE PROCESSING OF CHICKENS: A systematic review of the literature from the years 2012 – 2022
In the last times, the slaughter plants have been forced to implement adequate stunning techniques prior to slaughter, in order to guarantee the quality of the meat destined for human consumption and animal welfare. In view of this, the present systematic review is aimed at collecting scientific theoretical information on the different types of stunning techniques and methods used by the slaughter plants. For that, the search for scientific theoretical information was carried out in the information sources of: Scopus, ScienceDirect, ProQuest, Ebsco and Scielo including studies carried out over the last 10 years such as: research articles, review articles, scientific journals, academic publications, open access files, obtaining a total of 216 articles, of which a qualitative analysis was carried out to determine which articles provided a response the research question obtaining 61 articles, of these the vast majority talk about the use of electrical stunning (ES) by means of water baths, and a smaller number of ammunition to controlled atmosphere stunning (CAS) or also known as modified atmosphere (KAPS). ), the same ones that use gas mixtures and low atmospheric pressure (LAPS).
Heuristics for the analysis of emotions using encephalographic signals
Human emotions are characteristics that define their behavior, over time they have been studied more frequently in various areas. This article presents a heuristic to validate the analysis of emotions when a human being is exposed to content visualization, the emotion capture method used is the Emotiv Epoc X headband. The objective is to define a metric that allows comparing the result of the signals obtained, with an emotion classification test, in this case it is proposed to use the SAM test. For the treatment of the signals obtained, the Wavelet transform is used.
Evolutive screening of candidates for new materials using genetic algorithms and deep learning
Different mechanisms are used for the discovery of materials. These include creating a material by trial-and-error process without knowing its properties. Other methods are based on computational simulations or mathematical and statistical approaches, such as Density Functional Theory (DFT). A well-known strategy combines elements to predict their properties and selects a set of those with the properties of interest. Carrying out exhaustive calculations to predict the properties of these found compounds may require a high computational cost. Therefore, there is a need to create methods for identifying materials with a desired set of properties while reducing the search space and, consequently, the computational cost. In this work, we present a genetic algorithm that can find a higher percentage of compounds with specific properties than state-of-the-art methods, such as those based on combinatorial screening. Both methods are compared in the search for ternary compounds in an unconstrained space, using a Deep Neural Network (DNN) to predict properties such as formation enthalpy, band gap, and stability we will focus on formation enthalpy. As a result, we provide a genetic algorithm capable of finding up to 60% more compounds with atypical values of properties, using DNNs for their prediction.
Coupling Aquaponic Systems with Sustainable Energy and Food Generation: A Review
Nowadays society faces different problems regarding populational growth, energetic consumption increase, and food shortages currently more than 66% of the world population is undernourished. Additionally, present-day food production is becoming constrained due to the scarcity of arable land, freshwater, and the chemical contamination of fertilizers. This scarcity of resources is increasing along with the rapid growth of the human population around the world. This paper performs a systematic review via a bibliometric analysis employing VOSviewer, observing and analyzing scientific research trends in terms of sustainable food and energy generation. We present diverse aquaponic systems and their survival and efficiency rates. In terms of energetic generation, we discuss on the possibility of employing a plant micro fuel cell (P-MFC) with Oryza sativa to power up, resulting in the harvest of both rice and spinach. In terms of fish, the Oreochromis niloticus was selected due to its adaptability, survival rate, and local presence. Additionally, in the context of the scarcity of freshwater, we propose employing saline water in our system.
Analysis of Temperature Controller in Thermal Chambers for Arbitrary References
In the present work it is proposed to control the temperature of a thermoelectric module used in the construction thermal cameras for material characterization, including smart materials such as memory alloys shape among others. There are models that represent thermoelectric modules, where they are better represented by the output current in the thermoelectric module, in this work an amplifier controller model is used current and the respective model of the thermoelectric module and thermal chamber. This thermoelectric module set, current amplifier and thermal chamber is considered as a non-linear load (variable impedance to be controlled). To realize effective temperature control, a temperature controller in the thermoelectric module is designed in closed loop in such a way as to guarantee the desired temperature. As it is necessary to measure the temperature in the thermoelectric module or in the chamber, a thermistor type sensor is inserted, as it has a fast response when compared to other types of sensors. In the temperature controller analysis, different perturbations were considered as: ambient temperature between 15 and 35 degrees centigrade, temperature variation between -10 and 100 degrees centigrade, thermoelectric module impedance variation capability, delay disturbances produced on the thermistor response and the effect of the heatsink on temperature cooling. Results of the transient response analysis are presented showing the effectiveness of the proposed controller. Simulations are shown for sudden or arbitrary variations in temperature, and can even follow sinusoidal references, allowing evaluate that it is possible to control the amplifier set, thermoelectric module and thermal chamber, showing satisfactory results.
Gestures and Behaviors on Multitouch Surfaces for Collaborative Software Design.
In this work we do an analysis of the gestures and behaviors performed by software designers when they work in groups on multi-touch interactive surfaces (in this case simulated) and identifies the most common behaviors in collaborative work. In addition, it is investigated, what are the implications in the learning process, when learning to design software as a team.
Advances in Cogeneration and Trigeneration Systems: A Review on Conventional and Bio-inspired Approaches
Climate change impacts have become a concern of all countries, and research on mitigation actions has increased in the last decades. One of the solutions implemented, which has proven benefits, is the installation of cogeneration and trigeneration plants in buildings. Likewise, interest in the search for technical solutions inspired by nature has increased, leading to the development of more sustainable systems. Thus, this work presents a systematic review on conventional and bio-inspired cogeneration and trigeneration systems at building scale to show the current available advances. For this, a bibliometric analysis is carried out using the VOSViewer software to present the current knowledge state and research trends. Results show that conventional systems achieve energy savings and reduce CO2 emissions. Also, these systems can be improved by using renewable energy sources or making modifications to the components of the system based on nature strategies.
Electrical utilization through Wave Energy
This systematic review starts with the purpose of offering a study on the use of wave energy in the coastal zone. Scopus, ScienceDirect, EBSCO and IOP Publishing search engines were used to collect information, starting with an unfiltered search of the topic to be investigated, thus obtaining a total of 10,125 documents After applying a series of filters through the PRISMA selection process, a total of 31 articles were obtained, which were used for the final development of the systematic review. Finally, it is concluded that the use of a wave energy converter will depend on several factors: the type of converter, the areas where the converters are more efficient and the nature of the waves.
Impact of the COVID 19 pandemic in the productivity and enrollment in a Postgraduate school from Peru
The objective of this research is to determinate how the Covid-19 pandemic and sales adaptation plan, impact in the productivity and enrollment intention in the Postgraduate School UPN – Cajamarca, for this it was proposed an applied, quantitative and correlation scope research having as a study population 285 students and commercial area data in the period between 2018 and 2021, it was used the techniques of survey and documentary analysis, and the data was analyzed using Excel and Stgraphics Centurion. The productivity and enrollment intention were possible to find through a diagnosis between the years 2018 – 2021, it was found that there is not a significative difference between them (p 0.05) using Tukey’s test, having an average annual productivity of 98%. Additionally, based on the survey, 80.85% of the study population believe that the university should continue teaching online postgrad courses and the enrollment intention did not have a significative effect due to the pandemic. In conclusion, the students could follow their studies thanks to the strategies generated by the university, so the student was able to continue his studies feeling satisfied with the academic offer generating a positive tendence towards 2021, achieving similar values to those of pre-pandemic.
Influence of the nylon fiber in an asphalt mixture
The objective of this research project is to determine the influence of nylon fiber in an asphalt mix, using the Marshall method, which had to comply with the requirements for the bituminous concrete mix of the MTC E 504 regulations. Where the Marshall test was carried out for the unmodified asphalt mix and those modified with nylon fiber. There was a stability of 9.14 Kn. In traditional mix, for the asphalt mix with 1.0%, 1.5% and 2.0% nylon fiber we have 9.48 Kn.,10.193 Kn. And 11,087 Kn. Regarding flow we have a 9.8 mm for a traditional mix, for 1.0%, 1.5% and 2.0% nylon fiber we have 9.627 mm, 10.247 mm and 11.06 mm. For the percentage of voids, there was 4.044% for a traditional asphalt mix, for 1.0%, 1.5% and 2.0% of nylon fiber we have 3.781%, 3.975% and 3.809% void. It is positively concluded in the properties of the asphalt mixture with the Marshall method adding the different percentages of Nylon fiber and the optimal amount of Nylon fiber of 2.00% was determined.
Influence of The Addition of Steel Chips on the Compression Resistance of Artisan Bricks in Masonry Prisms
This research aims to determine the influence of the addition of steel shavings (VA) on the compressive strength of artisan bricks in masonry prisms, for which 30 prisms were made, each prism made up of three bricks and a 1.5 joint. cm, 6 of these for each percentage that was 0%, 5%, 10%, 15% and 20% addition of steel chips. The research is experimental and according to its nature it is quantitative. The results indicate that for an addition of 15% (V.A.), the compressive strength in brick units increases and is optimal, resulting in 74.31 kg/cm², unlike the standard brick, which is 54.33 kg/cm² In prisms the same thing happens for an addition of 15% (V.A.) the compressive strength reaches 49.30 kg/cm² unlike the standard prism which is 23.88 kg/cm², however, if the resistances are added to more than this percentage they start to go down. It was concluded that the influence of the addition of (V.A.) in handmade bricks and masonry prisms has a positive influence, improving this property by 206.44% with respect to the standard prisms, but up to 15% of addition of (V.A.)
Non-destructive evaluation of dry matter in ‘Edward’ mango by reflectance spectroscopy
Mango is a very popular climacteric fruit in America and Europe. Within the internal properties of mango, dry matter is a suitable indicator to estimate the final quality of mango, however, the measurement of this indicator requires destructive testing and high time consumption. Therefore, this research creates a new spectral database of Edward mango to build models based on Partial Least Squared Regression (PLSR) and Principal Component Regression (PCR). Our research analyzes a total of 18 PCR models and 18 PLSR models, where 4 types of transformations on the dependent variable (logarithmic, square root, square and none transformation), 3 types of reflectance-based feature extractors (logarithmic, first derivative and none transformation), and 3 preprocessing techniques (Standard Normal Variate (SNV), Multiplicative Signal Correction (MSC) and none preprocessing) have been studied. The research proposes a double cross-validation both to determine the optimal number of components and to obtain the final metrics. The best model has an RMSE of 1.6142 %MS and an RMSE of 0.6102 in the scaled dimension. The model used 3 components, did not use transformation, used R reflectance as the independent variable and MSC as the preprocessing technique
App to estimate the ultraviolet index in real time in the region of Puno, Peru
The objective of this research was to develop a mobile application to estimate the values of the ultraviolet index in real time using a theoretical model and the light sensor of the cell phone. For which an application is developed in Android Studio. The correlation and standard error statistics are considered for the validation of the measurements and a portable meter, to compare the measurements in real time in the city of Puno. Considerable results were obtained for eight days during the year 2021 considering the four seasons of the year. Where a data correlation of 0.99 was obtained between the data estimated by the cell phone with respect to the data measured by the GD-UV06 UV meter and a maximum average standard error of 0.521. Concluding that it is possible to estimate ultraviolet index values through the use of a cell phone and mobile App in real time.
Application of Lean Manufacturing Tools to increase Productivity in a cleaning products manufacturing company
The main objective of this research was to apply Lean Manufacturing tools to increase productivity at Clorimax E.I.R.L., whose economic activity is the production of cleaning supplies. For which, Lean Manufacturing tools were used such as: The Ishikawa diagram, facilitated the diagnosis and identification of the main factors that affect not having a standardized system and the lack of motivation of the operators in the production area on the other hand, the 5S method made it easier to improve the organization's environment, and finally, the TPM served as a tool to improve the efficiency of equipment and machines. Obtaining as a result an increase in the level of productivity in the organization, going from 2.39 to registering 2.50 soles sold / soles invested, which shows an advance of 4.6%.
Alternative bio-acidification process to make mango vinegar
The aim of this research was to evaluate the synthesis of acetic acid (bio-acidification) during the elaboration of a mango-based vinegar with a microbial multistarter of yeasts and bacteria called SCOBY (symbiotic culture of bacteria and yeast) that is used to elaborate kombucha and that has the capacity to carry out alcoholic fermentation and acetic fermentation simultaneously. This method was compared with the bio-acidification using the traditional method of making vinegar, which uses alcoholic fermentation wirh Saccharomyces cerevisiae and subsequent acetic fermentation with acetic acid bacteria. In the vinegars obtained, the acidity level established by the reference regulations of 50 g/L of total acidity was reached in periods of time between 26 and 42 days for the fermentations with SCOBY of kombucha, while the traditional process (fermentation alcoholic + acetic fermentation) allowed to reach that acidity between 39 and 48 days. In addition, no significant differences were found in the content of phenolic compounds between both bio-acidification methods when using fermenters with the same dimensions. These results indicate that the fermentative process with the SCOBY multistarter allows a similar production of acetic acid than the traditional method, but in less time.
Empowerment and Organizational Capacity in SMEs in the Port Sector of Guayaquil: a literature review
In this work we do a short literature review about the importance of empowerment in the development of organizational capacity. The methodology was a qualitative approach, with a descriptive scope and non-experimental design. The research results revealed that empowerment is an organizational management tool that allows increasing the level of commitment of human talent since the proper management and operation of other resources depends on them which translates into the achievement of strategic objectives this article intends to performs a bibliographical review of this management tool, which from an organizational analysis, will highlight the benefits that in this case it goes to on SMEs in the port sector of Guayaquil.
Healthy homes reducing the entry of electromagnetic waves
In recent years we have been involved in a controversy regarding electromagnetic waves such as the famous 5G waves, which for some brings benefits such as high speed data transfer for the Internet, however, recent studies in highly developed countries warn about the consequences that these could bring to human health. That is why the main objective sought with this research is to be able to reduce the passage of electromagnetic waves in homes and thus they can be clean of electromagnetic noise. Being a novel study in our region, we will announce our positive results and with this we could extend its application to our entire country and thus become an option for housing construction, improving people's quality and comfort of life. This application will not only bring benefits to human health but also protect our electrical devices from different failures, thus extending their useful life. To achieve our objective, we base ourselves on the principle of the Faraday Cage, which proves that on a surface closed with a metallic material, the electromagnetic field is null, so we apply this principle to a home, for this I use the construction of a model of a house to scale, to be able to carry out the respective tests, thus being able to quantify the reduction of electromagnetic waves. For this investigation I will use aluminum foil as the main material that will simulate aluminum sheets thus covering my structural elements and walls, thus shielding the house. For the open surfaces such as doors we would use aluminum doors, and for the windows a glass against the protection of electromagnetic waves which can already be found in the market in countries like Spain, which have already taken a lot of interest in these issues. All materials preferably must be connected to a ground to avoid creating electric fields due to electrical installations. The results were very favorable for the tests of the shielding of structural elements with aluminum, therefore, we could put it into practice at the level of construction of a real house, which I will detail its construction process later.
Modeling and Estimation of Physicochemical Properties of the Liquid Fuel Obtained from the Catalytic Pyrolysis of Disposable Masks
The present research studies the modeling and estimating of the physicochemical properties of the liquid fuel obtained from the catalytic pyrolysis of disposable masks. The modeling and simulation of a liquid fuel stream obtained using the DWSIM Process Simulator (free software) was carried out, experimental results of the Distillation at 760 mmHg (ASTM D86) test were taken, and the simulator's distillation curve tool was used. Likewise, the Cold Flow properties estimation tool and the heating power estimation supplement were used to estimate the results. A comparison of the estimated results with the experimental results is performed, as well as a comparison of the results obtained with the technical specifications of Diesel B5 S-50. It is concluded that it is possible to model and simulate a liquid fuel stream obtained from disposable masks, and the estimation of the gross heating power and density properties of a liquid product stream of disposable masks are considered good estimates (error less than 5%). Likewise, it is concluded that the liquid product obtained from the pyrolysis of disposable masks is within the technical specifications of Diesel B5 S-50 for the analyzed parameters.
Plan de Mejora de Procesos, Utilizando el ERP-ODOO en el Macroproceso de Ventas de la Empresa Construcciones Centenario E. I. R. L. de la Ciudad de Huaral 2022
Currently, technology has become an important tool and, in many cases, essential to be at the forefront and advance in various fields, including the business field. In recent years, one of the most used technological solutions in companies has been the ERP-type system since, through a friendly and predictable interface, it is capable of connecting the most important areas of a company and automating the processes involved. This research aims to develop a process improvement plan, using the ERP ODOO in the sales macro-process of the company CONSTRUCCIONES CENTENARIO E. I R. L. As a method of data collection, surveys, remote interviews with senior management were used and the oldest workers of the company and review of informative documents. After the implementation, the result is that the time for preparing sales reports is reduced by 99.65% with respect to the previous process, reflecting a very noticeable optimization. It should be noted that the new reports generated with the ERP, unlike the previous reports, have information ordered by relevance, adapted to the needs of the applicants. Finally, the implementation of the ERP ODOO with respect to the sales macroprocess has a positive influence on the execution of the aforementioned macroprocess in the company CONSTRUCCIONES CENTENARIO E. I. R. L.
Scale Validation about perception of road infrastructure and driver’s behavior in urban context in Honduras
Abstract: Road infrastructure contributes to urban zones' economy, labor, and social dynamism. In this sense, the measurement of the driver’s behavior and perception becomes crucial. It is due to these facts that this study delves further into it, having the Central District’s city as the main scenario, the capital of Honduras. For which a quantitative correlational design with a sample of 385 drivers was considered for such a study, to whom an instrument in digital format was applied through the Qualtrics XM APP. Reaching a Cronbach's Alpha of 0.735, then a factor model was developed through an AFE in which the final results of the eigenvalues were greater than 1 showing the existence of four factors, whose Bartlett test sphericity was significant (χ2= 1539.14, gl= 105, Sig.= .001) and the adequacy indicator of the sample size (KMO =.753) was appropriate. Likewise, the AFC confirms the exploratory factorial structure, emitting correlational values between the behavior dimension before the signaling and the behavior before the road infrastructure, and a correlation between the perception of residential road infrastructure and the behavior regarding the state of the infrastructure. Therefore, it is concluded that the scale is supported by an adequate model based on four factors distributed in 15 items. In turn, at a descriptive level was noted that three are the busiest communication roads in Central District.
Staff Turnover and Job Performance of Janitors and Cleaning Workers: A correlational study in SMEs
Workers are a fundamental part in the development and growth of organizations since their operation and productivity depend on them. Therefore, one of the factors to consider is the job performance and staff turnover of a company for better growth. The objective of the research was to determine the relationship between staff turnover and job performance of janitors and cleaning workers in a SME (Small and Medium-Sized Enterprise). The methodology had a quantitative approach, with a non-experimental design, cross-sectional and correlational level. The sample consisted of 120 workers, including janitors and cleaning workers to whom a survey was applied to collect information. The results obtained showed a value p0.05 therefore, the null hypothesis is rejected what's more, a moderate positive correlation (r = 0.359) was determined between staff turnover and job performance likewise, a moderate positive correlation (r = 0.380) between voluntary turnover and job performance finally, a moderate positive correlation (r = 0.352) between involuntary turnover and job performance. It was concluded that there is a relationship between staff turnover and job performance of janitors and cleaning workers in the MSE company.
LNG Cold Energy Use in the Puerto Bravo Thermoelectric Power Plant
Natural gas can be transported as liquefied natural gas to the final consumption points when pipelines are not feasible, however, this industry faces new challenges as it is increasingly used in the market. One of its main challenges focuses on the use of the cold energy available at the time of its regasification, so as not to discard it into the environment or the seawater. It is possible to use cold energy in a natural gas power generation plant, using it to capture the carbon dioxide generated after combustion. There is a novel process to capture CO2 in a solid phase that uses less equipment and generates a lower penalty in energy efficiency compared to processes based on CO2 absorption with amines. This novel process could be used in the Puerto Bravo thermoelectric plant, located in Arequipa, Peru, which operates with B5 Diesel due to the paralysis of the South Peruvian Gas Pipeline project and can be supplied with liquefied natural gas in the coming years. Therefore, this work aims to model the process of carbon capture and storage in a solid phase, previously replacing B5 Diesel with natural gas. In the simulation, the steam cycle was included for better utilization of the combustion gas energy resulting in a net power of 225 MW and a capture of 94% of the CO2 generated from natural gas combustion. Finally, the penalty on the energy efficiency of the cycle was 4.87%, where only 11.5 MW of power was used in the process of carbon capture and storage.
Digitalisation and customer acquisition in companies in Latin America. A systematic review of the literature 2013-2023.
The present study has the objective to analyze digitization and how it can help companies to attract their customers to retain them through the different strategies that are applied in the most efficient way possible, based on digital innovations. Customer acquisition is a very sensitive activity, because of customer satisfaction for their experiences and service rating, which allows to value and obtain constant feedback to design strategies, automate communication processes, campaigns. It is at this point that digitization, like that technological innovation, contributes to a better relationship with our customers, generates trust and the company has a competitive advantage. It is generated in a documentary way, fundamentals and relevant aspects focused on promoting the growth of companies through this digitization, to expand their market and encourage confidence in the services generated, this allows companies to adapt to the facilities that require the customer and automate customer service processes, advertising, campaigns. It concludes by sharing a practical guide with customer acquisition and loyalty strategies based on digitization.
Model for Optimization and Control of Container Transport in Port Terminals, Callao 2022
The objective of this research was to currently propose the application of a transport optimization and control model in the port of Callao, thereby evaluating the port management systems and the specific objectives were to answer the research question by evaluating possible solutions to be able to improve the productivity of the port of Callao and of the main transport companies that frequent the port terminal. This analysis is performed using academic information sources, under the systematic review methodology considering databases and search equations and inclusion and exclusion criteria as a strategy. The results show that the implementation of the project is currently reliable, thus constant monitoring is very important since it helps to maintain the pace of work and find possible solutions to sudden situations that may arise over time. Research in management systems in port and transport terminals worldwide is related to: Logistics, Environmental Management, Risk Management, Inventory Management and Occupational Health and Safety.
Digital marketing and customer loyalty strategies in service companies. A systematic review between 2016-2022.
Through the exploration of 29 scientific research articles published in the world during the periods 2016-2022, the objective of the work is to Evaluate whether digital marketing influences customer loyalty strategies in service companies. Likewise, the present study is based on an inductive method starting from the specific to the general using the systematic review methodology as well as an analysis and synthesis methodology that includes the review of scientific article bases, repositories, specialized journals detection, query extraction, collection and integration of data. From the result of the investigation, it is concluded that digital media have a great reception in the service category, due to its great reach with its public objective and the proximity that it projects when in contact with its environment, in this way it can communicate a clear and direct message in a few minutes and instantly to achieve a call to action to build customer loyalty from the first contact with the company, and having a strategy is essential for the development of promotional activities, communication and attraction of new customers.
Optimization and Characterization of Liquid Fuels Obtained from the Pyrolysis of High Density Polyethylene Waste
A multiple regression analysis was performed to automatically fit a model for optimizing the performance of liquid fuels obtained from the pyrolysis of high-density polyethylene (HDPE). The test version of the "Minitab 17" software was used, being the objective value, the yield of liquid products, and as variables, the pyrolysis operation temperature and the particle size of the sample. From the model, it was found that the operating conditions that maximize the performance of liquid fuels are a pyrolysis operating temperature of 557.8 °C and a particle size of 3 cm. It was possible to determine that the liquid products obtained contained fractions of 18% gasoline cut, 32% Naphtha/Kerosene, 28% diesel cut, and 22% residual. Likewise, a chemical composition analysis was carried out in which it was determined that the liquid products contained hydrocarbons, aromatics, halogenated, sulfur, and oxygenated components.
Best Practices on the Integration of Usability at the Organizational Level: A Review
This article analyzes existing practices or guides in the literature for software organizations to improve the usability of their applications. The selected research method is the synthesis of qualitative data through a thematic synthesis. In this research, different recommendations were recovered to achieve the incorporation of usability at the organizational level, mainly derived from case studies. As a result, 13 topics grouped into 5 higher order topics have been obtained. These topics summarize the important and necessary aspects, to not only achieve usable software projects as a result, but to that usability is present as part of the essence of the organization. One of the main contributions of this work is the model of interrelation between the themes identified in this work. This model presents the existing knowledge in the literature on good practices to integrate usability at the corporate level.
Improving customer satisfaction through the ISO 9001 quality management system and quality control design: a case study.
In this study, a quality management system based on the ISO 9001 standard is proposed for a company that faces the challenge of providing a better quality of service in the face of increased competition. New processes and improvements to existing ones are proposed according to the standard's requirements. The proposal seeks to improve the ability of the company to provide service that meets customer requirements and consequently increases customer satisfaction. The proposed quality management system also includes the design of mechanisms to monitor the critical quality objectives using statistical control charts. Additionally, a procedure to carry out the continuous improvement of the processes is proposed and presented.
ERP ODOO in the sale process of an PYME in the Gastronomy Sector
The following article corresponds to the implementation of the ERP ODOO in the sale process of Chifa Wang S.A.C. from the city of Trujillo, Peru. For this, a Pre-Experimental research approach is followed, where information gathering techniques such as survey and observation are used. For the implementation, the methodology proposed by VAUXOO Open source Specialist was developed, in which it specifies the following stages: Stage 1: Gap analysis, Stage 2: Supplier analysis, Stage 3: Concept and functionalities tests, Stage 4: Import of data, Stage 5: Validation and training, Stage 6: Go Live deployment, Stage 7: Second use in which it was concluded that the development contributed to increase the quality of the sales process, which is evidenced in an improvement of 16.75% of the completion time, productivity by 16.79% of the maximum capacity of order attention per working day, a 56.52% reduction in errors made during sales and the increase in the level of customer satisfaction in relation to the process by 30.39%. The research is described in introduction, state of the art, objectives, material and methods, methodology for the implementation of ERP ODOO, results, discussions and conclusions.
RD spending, tertiary enrollment and its influence on the labor force of Central and South American countries
The investment made by countries in Research and Development (RD) is part of the government policy that translates into subsidies and loans for professional training and that clearly influences the enrollment process in universities of Central and South America, which have proposals that are oriented towards desirable aspirations for the enrollment of students who contribute to the socioeconomic development of the countries and become a qualified labor force. The originality of the work lies in answering the question of how the Investment in RD, Enrollment in universities determine the labor force in Central and South America and its influence on per capita income? For this, a sample of these indicators of the 17 continental countries was taken, obtained from the World Bank database, processing them in the Excel and Stata software. The results show that there is a direct relationship between investment in RD spending, enrollment in universities and confirms its influence on the creation of the active labor force
An Application of the Piecewise Linear Approximation Method to Solve the β-Robust Scheduling Problem in a Parallel Machine Environment
In the industries, the presence of uncertainties in the duration of production tasks can lead to unsatisfactory production scheduling, in situations where variability is significant, and a deterministic approach is used. In this case, a stochastic or robust approach is more appropriate. In particular, this article deals with the β-robust scheduling problem in a parallel machine environment and considering the presence of uncertainty in the duration of the tasks. This problem consists of finding the execution order of a set of tasks on a set of machines, with the objective of maximizing the probability that the total flow time is less than a limit. The difficulty in solving this problem lies in its combinatorial, stochastic and non-linear nature of its formulation. To overcome this difficulty, an efficient mathematical model is built that makes use of the piecewise linear approximation method. The proposed model proves to be able to obtain the solution of the problem with precision and in a short computational time.
210 kg/cm2 concrete with the Addition of Recycled Majolica Exposed to Pathogens
In the present investigation, the purpose is to determine the compressive strength of a 210 kg/cm2 concrete exposed to sulfates, for which 5%, 10% and 15% of recycled majolica that passes through mesh No. 4, of which a total of 108 concrete witnesses were considered, separated into 27 for each design variation, having an experimental type methodology, application level and quantitative design. The mix design by the ACI method, considering as a premise if the recycled majolica not only contributes to the resistance to compression, but also against pathogens, so it was decided to use magnesium sulfate as an active agent for the pathology. Obtaining as a result after 28 days: standard concrete is 223.77 kg/cm2, exposed concrete 199.77 kg/cm2, with 5% majolica 184 kg/cm2, 5% exposed majolica is 165.98 kg/cm2, 10% majolica of 191.03 kg/cm2, 10% exposed majolica is 170.23 kg/cm2, 15% majolica with 208.20 kg/cm2 and 15% exposed majolica 183.07 kg/cm2. The concrete of 210 kg/cm2 with the addition of 15% recycled majolica reaches 208 kg/cm2 without being exposed to curing with magnesium sulfate and with exposure to magnesium sulfate it reaches 183.07 kg/cm2, concluding that the addition of recycled majolica contributes to compressive strength as well as exposure to pathogens.
Permeable Pavements as an Alternative for Meteorological Impact Attenuation in the Urban Environment of the City of Trujillo, 2022
Defective urban planning, deficient drainage systems, basin hydrological studies in addition to traditional pavements, which prevent the penetrability of water and lead to its wastage and inadequate conduction, demonstrated that the city of Trujillo is not in the right conditions, to face problems derived from precipitation. That is why, under an applied, quantitative, experimental quasi-experimental and explanatory investigation, we sought to analyze the influence of permeable pavement in the urban environment as an alternative to mitigate meteorological impacts that affect the town in 2022. The technique of Information gathering was observation and used the observation guide as an instrument Likewise, the data collection from and information tables on the samples that were the cylindrical and prismatic specimens of porous concrete with a percentage of voids at 13, 15 and 17 were used. As a result of the process, it was found that the rigid pavement proposal permeable to improve human coexistence with the road infrastructure that the city of Trujillo has, offering a porous configuration that reduces water runoff, the common of vehicle, safety for pedestrians, generating control in rains and its application, likewise, contributes with the natural environment generating the conservation of the water cycle and brings Trujillo closer to being a sustainable city.
NOMOGRAMS TO EVALUATE THE VARIABILITY OF THE SETTING TIME IN EQUIVALENT MORTARS APPLIED IN GUAYAQUIL, ECUADOR
In Guayaquil, due to high temperatures, long travel journeys and high-performance expectations, concrete may require up to 6 admixtures. Current methods require up to 5 simulations to determine proper admixture dosage. The aim of this research work is to generate a design tool that determines the setting time according to the dosage of plasticizing and retarding admixtures. In accordance with international, national and company procedures, calorimetric analysis was carried out on 54 scenarios including multiple dosages of cement content, admixtures and water/cement ratio. Based on the evolution of temperature, initial and final setting time was calculated. Additionally, flow and resistance were measured as moderator variables. Therefore, with this information four nomograms were generated. These nomograms present the initial setting time versus the use of plasticizer and retarder, according to the cement content and water/cement ratio. It is concluded that the recommended percentages of additive should be adjusted according to the cement content in the mixture, meaning that high cement content mixtures a lower percentage of admixture will be required, compared to a mixture with low content, to achieve optimal results. It is observed that high plasticizer dosages prolong the setting time without affecting the final strengths. By using nomograms, the volume of concrete waste reduces up to 60%, which benefits economically and environmentally to the company.
Social media in retail: an application in the baby clothing industry
Currently, retail is being influenced by digital platforms, leading companies even at a global level to scale in each of their commercial activities. The objective of this research is to identify which social media strategies are appropriate for a baby clothing retail company. The methodology used in this research is descriptive with a mixed approach in order to collect information through qualitative and quantitative methods. For which a survey with 10 questions on a Likert scale was conducted through Google Forms to customers. An interview was also carried out to learn about the strategies applied by the company, with 9 open-ended questions. From the quantitative point of view, there is a 48% of acceptance of the contents disclosed in the digital platforms and 46.6% of respondents find it pleasant to recommend the brand to acquaintances or relatives. From the quantitative point of view, an assertive communication is identified, giving answers to concerns such as presenting products on digital platforms without neglecting the level of attention both internally and externally as a strategy of conviction and continuous improvement, all this supported by the community manager. It is concluded that the company has an excellent synergy with its customers influenced by its content in the networks and adequate attention in online sales.
Implementation of a model to estimate the number of surviving cancer cells during radiotherapy treatment.
The objective of this research work was to implement the model to calculate the number of surviving cancer cells during radiotherapy treatment, for which the analysis of the interaction process of radiation with cancer cells was carried out, identifying the variables of entrance, the body or main part. As a result, information was obtained on the number of cancer cells day by day during the radiotherapy treatment. In conclusion, the implementation of the interaction model can help in treatment planning since we can have an approximation of the tumor volume knowing the number of surviving cancer cells.
Motivation and Organizational Performance in Port-based SMEs: a literature Review
This study is a literature review that addresses the importance of motivation and motivational factors on the organizational performance of small and medium-sized port businesses in Guayaquil through a qualitative approach with descriptive and non-experimental scope. After the analysis, it is revealed, that motivation is a business management tool that allows to increase the level of commitment of the collaborators within the organization because the management of the production factors and the organization performance depends on them and this contributes to the achievement of strategic objectives.
Logistic regression: an example for the prediction of heart attacks
Technological advances have allowed the development and availability of specialized tools for the use of historical data.In many of the times used for decision-making in institutions of a multidisciplinary nature and that require support for the development of their activities in particular the health sector. The purpose of this study is to make use of a machine learning algorithm to predict heart attacks using demographic and family health data.The methodology focused on the extraction of open data from the Demographic and Family Health Survey (ENDES) applied in 2021 in Peru, characterization and execution of machine learning techniques using Orange Data Mining software. In this first approach, the results show that the logistic regression model has an accuracy of 0.99%, on the prediction of heart attacks under the use of ENDES Peru 2021 data.For future studies, it is suggested to incorporate unstructured data such as text documents, sensor data, and images to strengthen the reliability of the model.
Formative Feedback in Blackboard Learn Environment for College Academic Literacy of Engineering Students
The COVID-19 pandemic spread the virtual mode to the masses through various learning platforms. In higher education, the possibilities offered by these platforms were used to innovate evaluation in e-learning environments. Due to the formative needs of engineering students regarding academic writing, the objective of the research is to determine the impact of virtual formative feedback on the academic literacy of engineering students in a writing course with the support of the Learning environments in LMS Blackboard. The study corresponds to a pre-experimental investigation in a sample made up of 39 students. The Wilcoxon signed rank test gave an overall value of -5.388b with a value of p=0.000. Therefore, it demonstrates that formative feedback has a positive impact on the development of academic literacy in the Blackboard virtual environment.
Entrepreneurship and financial education of rural artisans in northern Peru
The main objective of the following research was to determine the relationship between financial education and the entrepreneurial spirit of artisans in the district of Moche in 2022, for which a quantitative study of applied type and non-experimental design with correlational scope was developed. A questionnaire was used as a data collection instrument. The population studied consisted of 34 artisan entrepreneurs who responded to the surveys. The results showed that both variables do have a relationship, as does the financial skills dimension with respect to entrepreneurship. On the other hand, the dimensions financial knowledge, financial attitudes and the entrepreneurship variable have no relationship. It was concluded that there is a relationship between the variables financial education and entrepreneurship and that approximately 8 to 9 out of ten artisans showed a high level of financial education and entrepreneurship.
Social perception about the reuse of recycled water in VRAEM agriculture. Inclusion of the social dimension in Kimbiri-Sampantuari (Cusco)
The reuse of recycled water in agricultural activities requires integrated management to strengthen a greater perception of citizen acceptance and guarantee the sustainability of its use. The perception of risk and acceptance of the farmers of Sampantuari-Kimbiri (Cusco) regarding the reuse of recycled water was analyzed through a survey carried out in the community and a bibliographic review directly related to the WWTP project. The results revealed a lack of knowledge about the benefits of reuse and therefore a high perception of risk in the quality of the effluent, sanitary conditions, but considered its use in crops acceptable. The municipality of Kimbiri and independent actors such as the university must strengthen alliances to improve the availability of information, raise the level of awareness, knowledge and acceptance for its reuse in agriculture within the framework of sustainable development in the integrated management and circular economy of water.
Logistics and Information Technology: A Systematic Literature Review of Nanostores from 2014 to 2023
The purpose of this study is to conduct a systematic literature review (SLR) using bibliometric tools to understand both existing knowledge base and trends of research about nanostores in logistics and supply chain management (SCM). Such knowledge and trends will help to identify emerging research topics on the subject. More than 430 publications, selected through a keyword combination search from top-level databases of peer-reviewed academic publishers from period 2014-2023 are analysed for the purposes of this study, which presents an assessment to determine authors, academic publishers, years, and countries, among other key aspects. These allow identifying research and emerging research topics. A content analysis of the relevant publications within specialized literature of nanostores is presented. The findings make unique contributions by using bibliometric analysis to explore the status of research on nanostores, logistics and SCM, identifying existing topics from three dimensions out of six categories of paper content, discussing current shortcomings, challenges, and the potential areas of future research. This paper provides a comprehensive view of the range of topics of importance that have been discussed in the literature of nanostore, logistics and SCM. These research trends can serve as a basis for owners, researchers, and practitioners to improve decision making and develop strategies. The paper employs SLR in a publication to review the nanostore retail literature for the first time (i.e., important methodological contribution to the field of logistics, SCM and nanostores studies, where there is no SLR), to understand and reorganize available knowledge from such a dynamic and developing field, with heterogeneous studies, and concepts that often poorly operationalized, thus not providing sufficient assistance to owners, researchers, and practitioners, in their efforts to implement logistics and SCM practices in nanostores.
Measurement System Analysis applied to a competence assessment methodology in engineering training programs in Mexico
A reliable evaluation system must be a guarantee to obtain a qualification that reflects the degree of acquisition of competence. The evaluation must be homogeneous so that teachers assign grades closer to the degree of competence formation in engineering training programs and serve as a reference for more objective feedback. For this reason, this article shows a quantitative method of Measurement System Analysis (MSA) to determine the reliability of the system evaluation and to generate a diagnosis that allows the establishment of adequate strategies to improve the evaluation practice of participating university professors within engineering training in Mexico.
Challenges and opportunities of collaborative management and university social responsibility of Adaptation to Climate Change in the community of Mangomarca (oasis of fog) in Lima, Peru
The Mangomarca fog oasis in Lima is an important system of regulation and services that is subject not only to the impacts of climate change, but also to land trafficking, illegal invasions and pollution which has generated a serious environmental deterioration and loss of biodiversity Faced with this situation, the Cesar Vallejo University, within the framework of social responsibility and its interest groups, participates with the community and the Ecotourism Association of the area, to protect the Mangomarca ecosystem, seeking solutions based on nature and alliances collaborations promoting a better quality of life. An analysis of the system that today exerts actions and pressures on the fog oasis of Mangomarca is made challenges are identified in the midst of a covid 19 pandemic that does not end and collaborative strategies for resilience to climate change are developed, in the context of sustainable development
Cloud-based IoT solution to control and monitor a psychrometric laboratory in a Peruvian University
During the years of the COVID-19 pandemic, university education had to adapt to a virtual context and the laboratories, which made use of specialized equipment, had to stop and move to a simulated context, providing an experience for the student close to reality, but not complete. As the years progressed and the restrictions began to diminish, various alternatives were proposed to facilitate remote access by students to the laboratories through cameras, IoT solutions for the remote control and monitoring of specialized equipment through web environments. The Pontificia Universidad Católica del Perú has a psychrometric bank for laboratories of undergraduate courses, which could only be used in person. In this article, an IoT solution deployed in the cloud is proposed, with AWS services, to remotely control and monitor all the data generated by the psychometric bank. These data are obtained through sensors or cameras to be sent to the IoT platform in the cloud through MQTT, which will then allow users to see the result in real time using HTTPs and WebSocket. The deployed solution also allows managing user access by role, by date, assigning sensors to users in real time, saving a history of everything sensed, and exporting all the data generated during the laboratory session. The solution has also been used throughout a period of 12 months in which students have been able to interact with the platform, both in person and remotely.
Machine learning for the classification of motor competence with wearable technology in schoolchildren
Personal health can be determined by adequate physical activity Motor competence is an important aspect to help this and must be carried out from school days. The objective of this study was to assess motor competence with wearable technology, generate the percentiles of the evaluation metrics, and classify motor performance using machine learning techniques in primary and secondary school children. For this, smart bands were used as wearable technologies for data capture during the evaluation of motor skills tests in schoolchildren from educational centers. The CRISP-DM methodology was followed, and the data set consisted of 485 schoolchildren between 7 and 18 years of age. As a result of the application of machine learning algorithms, the best precision was achieved with the decision tree with 96.97% in the classification of motor performance in these students. It is concluded that using smart bands allows better data capture and processing precision to classify motor skills tests in schoolchildren better and can be used by interested persons.
Treatment and Disposal of Oily Sludge from IX-Talara Oilfield by Vacuum Pyrolysis
Oily Sludge (OS) is a complex combination of oil and water emulsions with suspended solid impurities. They have high viscosity and stable emulsions that prevent the sedimentation of solid components. It is estimated that one ton of crude oil produces between 0.3% and 0.5% of OS. Pyrolysis is a process in which the raw material is heated to high temperatures (400-1000°C) in an oxygen-free reactor or an anoxic atmosphere. This causes the breakage of the C-C and C-H bonds in the compound, producing lighter hydrocarbons in the form of condensed liquids or non-condensable gases. In the end, a combination of carbon, liquid, and gases is obtained, depending on the operating conditions of the pyrolysis. Vacuum pyrolysis was carried out on a sample of oily sludge (OS) originating from oil production operations in Oilfield IX in Talara, Peru. The yield of liquid, solid, and gaseous products was evaluated, and the fraction of liquid hydrocarbons was characterized. The best results were achieved at a temperature of 550°C and a pressure of 31.33 kPa abs. The yield of liquid products (crude and water) was 81.4%, while the yield of solid products reached 10.3% and the yield of gases was 8.3%. The liquid hydrocarbon obtained under these conditions has a density of 864 kg/m3, a viscosity of 6.88 cSt at 50°C, and a higher calorific value of 40.16 MJ/kg.
Desulfurization of Pyrolytic Fuels by Adsorption and Oxidation
Desulfurization is the removal of sulfur or sulfur compounds from hydrocarbons or mixtures of hydrocarbons derived from petroleum, natural gas, or similar fuels. Fuels obtained from the pyrolysis of used lubricating oil, and used tires, have a high content of sulfur compounds, higher than in distilled fuels from crude oil. These sulfur compounds after combustion become SOx, which is a main component of acid rain causing air pollution and environmental degradation. Oxidative desulfurization (DSO) and adsorptive desulfurization (DSA) were performed on a pyrolytic fuel obtained from the pyrolysis of used lubricating oil. The initial sulfur content in the samples varies between 0.12668% and 0.07679% (w/w), in the DSO process up to 9.23% of sulfur was removed under the following conditions: temperature 90°C, reaction time 15 min, H2O2 concentration 3%, and 1.7 g of FeCl3. Then the samples were treated by DSA with silica gel and activated carbon, it was determined that activated carbon is the best adsorbent and removed up to 27.75% of sulfur was. The two treatments (DSO and DSA) were combined in a series arrangement of three activated carbon beds with a height of 15 cm and it was found that up to 92.56% of sulfur can be removed.
Influence of attitude and behavioral control on Youth Entrepreneurship in Peru
The research develops the factors that influence youth entrepreneurs, considering that entrepreneurship is a required and necessary activity in society, the theory of complexity was analyzed for this purpose. The objective was to explain the influence of attitude and behavioral control in youth entrepreneurship in Peru. For this, a quantitative study with a causal design was applied in a sample of 595 students from universities of Peru. The conclusion was that both the attitude and the behavioral control influence positively in youth entrepreneurship, which is why it is important for the progress of the country.
Analysis of environmental dispersion of particulate matter (PM 2.5 and PM10) worldwide over the last 10 years: A review of the scientific literature
Currently, particulate matter emissions have a profound influence on population health, atmospheric visibility, and the climate of a place worldwide. Therefore, in this systematic review we analyzed the atmospheric dispersion of particulate matter (PM2.5 and PM10) and its significance to the environment, according to scientific journals of the last 10 years worldwide. Theses and articles from journals such as Scopus, Dialnet, ScienceDirect, etc taking into account the period 2012-2022 and the Spanish and English languages were used. Articles were included that contained information and results that contributed to the research where they showed the appropriate modeling. As a result, the most used atmospheric dispersion model is AERMOD, and in several cities PM emissions do not comply with the ECAs of the country or the WHO. Among the limitations was the small number of articles focused on PM because most of them mention particulate matter as an additional pollutant. We conclude that it is important to have knowledge about PM emissions that occur near urban areas, in order to have a perspective on air quality and, if it is poor, to implement solutions to reduce emissions.
Quantum Learning Transfer Model for the classification of people with safety helmets
The problem of personal accidents in a work environment in many cases is due to the lack of use of helmets, among other safety elements. The objective of this work was to classify images of people who use or not use safety helmets, in the classes identified as correct use of the helmet, incorrect use and without a safety helmet, with a Quantum Transfer Learning model. For this, the method used has allowed the collection of a data set of 750 images of people in different work activities. The classical learning transfer model chosen was ResNet-18 the variational layers of the proposed model were built with the Basic Entangler Layers template for four qubits with the Pennylane quantum simulator. The results were 95.47% accurate in classifying the correct Safety Helmets. The conclusion reached is that the proposed model is a good option to detect and classify people with the use of safety helmets in a work environment.
Determination of the number of support vehicles with Stochastic Demand
Este proyecto propone la optimización de la contratación y asignación de vehículos auxiliares, utilizando modelos probabilísticos. Para lograrlo, se realizó un análisis cuantitativo de los datos estocásticos de demanda de una empresa de transporte de carga, específicamente el número de clientes visitados con el propósito de obtener información sobre el comportamiento de sus clientes a través de dos enfoques, uno que consideraba los días de la semana y otro que consideraba la fecha de esos días, seccionándolos en 4 períodos por mes. Este procedimiento fue la base para obtener un modelo de distribución de probabilidad, con el que se generaron números aleatorios para completar las series temporales formadas a partir de la demanda semanal. Finalmente, se realizó un procedimiento para obtener el mejor modelo de series temporales con el que se predijeron los valores e intervalos esperados con un 95% de confianza. Los resultados mostraron patrones de comportamiento semanal y mensual, además, si se toma como referencia la semana de pronóstico y se realiza un cálculo del valor total mensual y anual, en la primera se genera un ahorro de $720 mensuales y $8630 anuales.
Improvement with quality tools in an automotive industry, Trujillo 2022
The following investigation is of an applied type of experimental design and diagnosis, which had the objective of analyzing and presenting the improvements that were obtained in the areas of maintenance and logistics of said company by applying the tools of QFD, FMEA, DMAIC and SIX SIGMA to improve the profitability of an automotive company. When carrying out the analysis with the help of the Ishikawa diagram, it ends up that there are 5 main problems that are the following: Lack of training for personnel, Lack of care in the transport of the units, Lack of control in the inspection time of the units arrivals, Lack of inventory control and warehouse order and lack of stock of materials, which will be repaired, carry out the diagnosis with the Pareto diagram for the initial analysis and with the help of control charts in Minitab and will be drawn to represent the current situation and the improvements when applying the tools. The results show that in the maintenance area there was an increase in profitability of 74% and in the logistics area 66%, thus advancing an economic benefit of S/. 17,371.90 and the Go of S/. 1,902.27, an IRR of 22.41% and B/C of 1.4.
Comparison of intrusive and non-intrusive motion capture technologies for upper body kinematic analysis
The adaptability of machine vision solutions for motion capture has generated an interest in determining whether markerless capture methods can achieve a level of accuracy particularly similar to capture techniques with passive or active markers, being an essential factor in the identification and treatment of motor weaknesses in physiotherapeutic fields. In this sense, the aim of this work is to perform a comparison of two motion capture techniques: intrusive and non-intrusive, using the 3D tracking systems OptiTrack and MediaPipe to determine the performance of markerless pose estimation in obtaining the ranges of motion (ROM) of the upper body of a person. The capture is simulated using a virtual environment (VE) developed on the Unity platform, evaluating accuracy and deviation levels using Matlab. The non-intrusive pose estimation solution generated 92.82% average accuracy with respect to the standard trajectory when capturing the ROMs of the limb, proving to be a cost-effective and significantly accurate option for the analysis of upper body kinematics in rehabilitation exercises. The study of the elbow joint indicated similar results in flexion, with 1.382° degrees difference as did the shoulder joint, with 1.237° and 2.969° degrees in flexion and abduction, respectively. Finally, the ROMs captured demonstrate that the integration of a VE decreases the deviation in the trajectory of the limb, guiding the participant in the exercise presented.
Evaluation of the effects of CO₂ injection in gas and foam phase on different rock and fluid properties during an Enhanced Oil Recovery (EOR) operation.
Over the years, the exponential increase in CO2 emissions has contributed to climate change. Currently, new technologies at the industrial level have been applied to decrease the carbon footprint, reducing the negative impact of CO2 on the environment. The oil industry joins the change through the enhanced oil recovery (EOR) process using CO2 as an injection fluid. The study proposes a theoretical model based on a literature review using the PRISMA methodology, in order to evaluate and compare the effects of CO2 in gas and foam phase on the different rock/fluid properties during an enhanced oil recovery operation. Initially, a sample of 300 scientific articles was obtained from the Scopus web platform, of which 114 articles were selected by applying the PRISMA methodology for the development of the study. In general, the present study contributes to the literature by demonstrating that the use of the PRISMA methodology in a literature review allows obtaining reliable and updated information. The results of the comparative, qualitative and quantitative analysis showed that in the process of CO2 injection as gas or foam, changes in the properties of the rock and fluids occur both at reservoir level in pilot tests and in laboratory experiments.
Generalized Kutta Joukowski theorem adaptation to classical Horseshoe Vortex Method for modeling multi-lifting surfaces interaction: Application to UAV’s wing layout design.
In this study, an adaptation of the classical Horseshoe Vortex Method is performed to model the interaction of two or more lifting surfaces employing the generalized Kutta Joukowski theorem, which allows computing the lift produced by both inside and outside vortices. The resulting model was validated against wind tunnel tests for a canard airplane and showed good results for lift and induced drag predictions, especially before the region of flow detachment. The panel method obtained is useful for computing preliminary aerodynamic characteristics of an aircraft with a non-conventional wing configuration considering the respective model limitations and assumptions. Thus, a case study comparing the aerodynamic performance of the conventional and tandem wing layout configurations for a small fixed-wing UAV of 10 Kg of maximum take-off weight is developed. Among the most important results, it was found that the tandem-configuration aircraft showed a reduction of 12% of the lift generated compared with the lifting-line theory prediction when forward and rear wings aerodynamic interaction was considered. Also, for the tandem configuration aircraft, it was encountered to have a larger range of applicability due to its smaller size however, the conventional one showed less interference in the airflow between the wing and horizontal stabilizer, consequently, better aerodynamic efficiency.
CONTROL OF THE BUSINESS MANAGEMENT OF THE NATIONAL RURAL SANITATION PROGRAM FOR THE ECONOMIC DEVELOPMENT OF RURAL AREAS OF THE DEPARTMENT OF CAJAMARCA DURING THE YEAR 2020
Abstract: In an increasingly automated environment, where it is sought to manage processes more effectively, it was proposed to analyze the control of the business management of the National Rural Sanitation Program of the Ministry of Housing, Construction and Sanitation of Peru, which is in charge of to achieve the economic development of rural communes in the department of Cajamarca. The research is of a qualitative descriptive type, the study unit is the National Rural Sanitation Program, being the Peruvian state through its public powers who exercise supervision of the development of management. In the methodology, three methods were used: observation, documentary analysis and interview, to analyze the dimensions of business management through control in planning, organization and contractual execution, the objective of the research is to contribute through a proposal that covers the improvement of management control processes with an emphasis on the organization of the national rural sanitation program, based on the use of a table of needs, with a budgetary approach based on results, seeking to impact the achievement of the objectives of the institution analyzed to meet the needs of the population in rural areas of the department of Cajamarca.
Evaluation of the concentrations of cultivable airborne bacteria present in a Higher Education Institution in Cartagena de Indias (Colombia)
Bacteria are an important biological component present in bioaerosols and can cause disease in humans and animals and damage vegetation. In the city of Cartagena de Indias there is limited information on the environmental bacteria present in the air and the microbiological quality in that environment. Therefore, the purpose of this study was to evaluate the concentration of airborne bacteria present in an HEI in the city of Cartagena de Indias and to determine the influence of weather conditions on the concentration of bacterial bioaerosols. 128 outdoor air samples were collected with a cascade impactor over 4 months. Total bacteria count, and parameters such as temperature, relative humidity, and wind speed were monitored during the 16 sampling campaigns. The results showed that the average concentration of bacteria was 24.84 ± 8.02 CFU/m3. Furthermore, they indicated that these bacterial bioaerosols are mainly constituted by gram-positive bacteria (92%), the dominant genera being Staphylococcus and Bacillus. The concentration of bacteria in the air of the IES was mainly influenced by the wind speed.
Business intelligence as a competitive advantage in organizations: A systematic review of the literature between 2012-2022.
The present systematic review aimed to describe the bibliometric and engineering aspects regarding the role of business intelligence as a competitive advantage in organizations between 2012 and 2022. In this sense, a search was initiated in various scientific databases such as: Scopus, Scielo, Dialnet, Redalyc, Alicia, Dspace, Crossref and Openaire using the following keywords: business intelligence, data management, ETL, decision making, Peru, data mining, organizational approach, datamart, competitive intelligence and artificial intelligence. Subsequently, inclusion and exclusion criteria were applied corresponding to the presence of the study variable in the title, language, year of publication, publication in open Access, type of research, quantitative results of the study, among other criteria. The bibliometric results showed that during the years 2021-2022 applied research in business intelligence has increased, 59% of identified studies have been published in Spanish and 41% in English, while Scopus, Scielo and Dialnet are the databases with the largest amount of research in this regard. In the case of the content results, tools associated with business intelligence and the most relevant effects achieved with their implementation were identified. Finally, it was concluded that business intelligence represents a competitive advantage for organizations due to its positive impact on decision making, resource optimization and efficiency levels.
Preventive Maintenance Management Proposal to increase the Availability of online sealing and packaging of canned tuna, Ancash 2022
The objective of this investigation is to determine to what extent the application of the preventive maintenance management proposal influences the availability of the machine in the packaging and sealing area of ​​the canned tuna production line. The implementation of the preventive maintenance management proposal was carried out through field observation and documentary recording of the historical data of failures of the most critical machine, which was identified as the can seamer. Through the application of the proposal, it was possible to increase the availability and its measurement indicators. The result confirms the importance of the preventive maintenance function in the role of maintaining and improving the availability of its assets. The research presented, as its main contribution, an extensive analysis of the application of preventive maintenance to increase machine availability in a tuna canning company.
A new B-Learning methodology for Teaching Differential integral calculus in a school of Engineering
The great technological advances of the contemporary digital age have allowed us to take giant steps in the creation of new learning environments and educational methodologies. The research described in this article presents the application of a blended learning methodology in English abbreviated as B-learning (Blended learning) where face-to-face training guided by a teacher is combined without this being the center of the learning model and at the same time the educational model is complemented with elements of virtual education under the flipped classroom pedagogical approach , where the teaching-learning process focuses on the student, making him or her the protagonist and main actor. The teacher becomes a guide for the interaction of knowledge exchange between the participants and the counselor of the process. This methodology was applied as part of the return to face-to-face pilot in the Differential and Integral Calculation course at the School of Engineering of an Ecuadorian university in 2021, showing a higher approval rate and improvement in performance than the group of students who continued studying the subject in virtual modality with a traditional teaching methodology.
Analysis of the reinforcement with jacketed concrete to protect the abutments to avoid scour
The general objective of the present investigation is to analyze the proposal of the reinforcement with jacketed concrete to protect the abutments of the bridges subjected to scour by the action of water during the occurrence of maximum floods in steep rivers, with invaded riverbeds and subject to recurring weather phenomena. This proposal was compared with the alternatives of maintaining the current protection, riprap, and concrete bag revetment. The analysis showed that the maximum scours depth is markedly different in the two abutments because the bridge is located on a curve. Considering the estimated scour in each abutment for a return period of 500 years, the height of the reinforcement was considered, resulting in a height of 5.50 m for the right abutment and 10.50 m for the left abutment. Technical analysis showed that the current protection is inadequate. concrete bag revetment does not meet the requirements either because the geotextile used in the bags does not resist the acting shear stress. Reinforced concrete jacketing and riprap lining meet the requirements, but liner costs up to 50% less than riprap lining. In addition, for construction reasons, the riprap alternative is ruled out since the riprap toe interferes with part of the area below the pillar closest to the abutment. In addition, it has been shown that the reinforcement with jacketed of concrete has the advantage of not occupying as much ground as the riprap.
Concrete of 210 kg/cm2 with Addition of Recycled Glass Before Pathogenic Agents
This investigation was carried out with the purpose of analyzing the compressive strength of concrete f'c=210 kg/cm2 with recycled glass added in percentages of 5%, 10% and 15% and exposed to sulfuric acid during the process of cured. 108 test tubes were analyzed and applied in 4 groups of 27 according to control design, 5%, 10% and 15% Inclusion and exclusion techniques were used as the basis for this research. As data collection instruments, formats were used to support the tests carried out in the laboratory, in order to synthesize and organize the relevant information. Finally, the results of the resistance of the 108 test tubes were analyzed, concluding that the resistance increased according to the age of curing and the percentage added.
Lead professor skills and classroom climate during online learning
Virtual education in science and engineering careers brought with it great technological, psychological and pedagogical challenges, above all, for university professors. The professor's leadership took on great importance since he was the closest contact of the students with the university, everything that he planned, developed and evaluated was reflected in the climate of the virtual classroom. Therefore, the main objective of the research was to know how professor leadership contributed to the climate of the virtual classroom from the perspective of engineering students. The research was developed under the qualitative approach with a phenomenological design, the sample consisted of 21 engineering students with active enrollment in courses that were developed remotely in person in addition, the data was collected through interviews. According to the results, the professors showed transformational leadership skills that were valued positively by the students and, according to the testimonials, this had an impact on a positive experience in the classroom during the scheduled videoconferences. Finally, the students affirmed that these university learning experiences have contributed to their personal and professional development.
Design of social housing modules applying ecological fibrablock for housing improvement in an AA.HH. in Pisco, Peru
The objective of this research is to carry out the design of social housing modules using ecological fibrablock that allow to correct the habitable need of the inhabitants of an AA.HH. of Pisco, this problem arises from the need for social housing and to reduce the negative environmental impact of construction materials worldwide. That is why ecological panels emerge as a viable alternative for the construction of social housing modules. Likewise, tables and graphs were obtained with the main characteristics and foundations that are part of the analysis of the research that is shown from the Methodology to the Result. Compression tests were carried out on the ecological fibrablock samples to determine their use in the design of the social housing modules Subsequently, the structural, architectural, sanitary and electrical installation plans were prepared. Finally, we can conclude that the results of the compression fractures of the molds were favorable to proceed with the design of the ecological panels. Therefore, the present investigation seeks to cause a positive impact on the environment and contribute to society, through construction, which allows positioning the product to achieve the necessary confidence and include it in the construction of social housing.
How the Cultural and Digital Transformation with a Gender Approach contributes to closing the gaps in the quadruple helix in Colombia
The countries of Latin America and the Caribbean, including Colombia, have sociocultural problems that prevent sustainable development among which are corruption, poverty: hunger, crime, class inequality, and culture permeated by various factors. One of these factors is the digital transformation and Digital Transformation with a Gender Approach - TCDEG - is a strategy that, due to its flexibility to facilitate the flow of information, allows for continuous dialogue between the different structuring actors of development and well-being represented in the quadruple helix: the State, the academic, the public society and the private society, this TDEG emphasizes closing the gap between men and women. The adjustments in the organization of the information and in the flow of processes are two necessary moments for the digital transformation and are based on the alignment of purposes for which the TDEG is made, although there are different methodologies for the formulation of indicators such as Balance Scorecard, Customer Supplier Approach, and Management Excellence Models, this work presents the methodology for the Formulation of Indicators of Cultural and Digital Transformation with a Gender and Culture approach in Colombia - FITCDEG - with which a battery of indicators was built to reduce, With the participation of the quadruple helix, the gender gaps in the Colombian academy are anchored in the digital transformation that is taking place in the state, the company, civil societies, and the academy itself.
Supply management for the operating costs of an infrastructure company
The objective of this research work was to design a supply management model for operating costs in an infrastructure company. The methodology has a mixed approach, non-experimental, cross-sectional design and a sample of 4 products. The techniques and instruments were: Observation (Observation Guide), Interview (Interview Guide) and Documentary Analysis (Summary Sheet), determining the validity and reliability, the judgment of experts in the logistic area was taken. Eight out of 20 root causes were prioritized: Delays in the delivery of suppliers, lack of follow-up of purchase orders, lack of purchasing policies, lack of purchasing planning, low purchasing budget, lack of personnel training, representing 57.29% of cost impact. Likewise, the improvements would be: ABC Method, Kraljic Matrix, Purchasing Procedure, Purchasing Operational Policies, Purchasing Budget, Approval and Evaluation of Suppliers, Training Plan minimizing cost overruns up to 60%. Finally, the company will eliminate profitability, reduce costs, with an investment of S/21,794.80.
Predictive model of quality in hotel: case Huaraz
Knowledge management is the management of intangible assets that generate value for organizations. The main objective was to determine a predictive model of service quality for hotel companies according to knowledge management. The hypothesis was: The level reached in knowledge management by hotel companies does not allow these organizations to provide optimal quality services, because some knowledge management factors are not applied correctly. The informant population were the managers and clients of the 13 three-star hotel establishments in the city of Huaraz, Ancash, Peru. A multiple linear regression model was used to analyze the data. The hotel service quality prediction model was as follows: -1.73 + 1.73 Senior Management Commitment + 0.34 Organizational Culture - 0.53 Management Capacity + 2.69 Technology - 1.79 Knowledge Management Process + 5.50 Indicators.
Analysis of the Viscosity Ratio of Two-Phase Flow in a Porous Media by Numerical Modeling
The objective of this research is to analyze the behavior of the two-phase flow in the homogeneous porous media during the waterflooding process and thus obtain a better description of the fluid flow. A mathematical model of the two-phase flow in a porous media was used as a starting point to subsequently build the numerical model. For the numerical model, the fully implicit method was used for the discretization in time and the finite volume method for the discretization in space. The algebraic equations representing the two-phase flow in a porous media were linearized using the Newton-Raphson method because they are nonlinear and strongly coupled. In order to know the influence of fluid viscosities, three simulation cases were run considering a viscosity ratio value less than 1 as the first scenario, a second case with a viscosity ratio value equal to 1 and a third case considering a viscosity ratio value greater than 1. The results of the numerical simulations show that the studied variable considerably influences the two-phase flow in the porous media during waterflooding.
Influence of nanomaterial (Zinc Oxide) on the durability of conventional concrete
This research seeks to present a nanomaterial that can provide self-cleaning property to conventional concrete, since the pollutants found in the air are also the cause of some concrete pathologies that affect its durability, such as carbonation, acid etching, and acid rain. The main objective of this research was to counteract the deterioration of concrete constructions using zinc oxide as a self-cleaning material for conventional concrete. For which, experimental tests were carried out, such as the rhodamine B test, exposure to polluting gases and the phenolphthalein test, carried out on mortar samples, and the compressive strength test, carried out on concrete specimens. Finally, the results allowed us to conclude that zinc oxide works as a photocatalytic material and gives concrete a self-cleaning property, which allows it to keep its surface free of contaminants that normally remain impregnated and damage it, in addition to being able to observe that this aggregate decreases the resistance of the concrete by a certain percentage, so it is recommended that it be used as a mortar rather than as concrete in structural elements.
Project budgeting with BIM and traditional methodology in Peru
The present research was carried out in Peru, comparing the budget of the multifamily project of a construction company with BIM and traditional methodology, for the realization of the article a non-experimental, descriptive design was used, considering as population and sample a multifamily project of Constructora Galilea with traditional and BIM methodology, data collection was carried out through the documentary review technique, the instrument used was the matrix of categories, to analyze the data used descriptive statistics, the problem arises from the budget of the multifamily project of Constructora Galilea which was prepared using traditional methodologies to be compared with the same budget but prepared using the BIM methodology in order to exploit its benefits such as the optimization of resources and costs, the budget prepared using the traditional methodology resulted in a total of S/. 1,238,541.36 while the budget elaborated using the BIM methodology was S/. 1,096,844.25, it was possible to compare the budget of the multifamily project of the Galilea construction company with BIM and traditional methodologies resulting in an optimization of 11.44% in costs in favor of the BIM methodology
Student Satisfaction and Perception towards Formative Evaluation in an Active Learning Methodology in Higher Education
The aim of this research is to describe if a change in evaluation weights exerts influence on satisfaction, perception, and possibly academic performance. The study was conducted at a university that has been using active teaching mode in undergraduate courses in Latin America for six years. In the first quarter of 2022, as a pilot plan, the assignment of points for summative activities was modified, giving value to formative activities. The novelty of the change was that in formative activities, the student groups had assistant teachers who accompanied the process. Data was obtained through an online survey, using the Likert scale and with open-ended questions that allowed students to write their perception of these activities. The results show that the change was satisfactory in most questions and the perception was adequate, exposing the best and worst of the course. The comments were analyzed and the percentage of approved students in two consecutive cohorts is graphically shown. The results revealed that this new evaluation system achieved better academic results than the previous one, the approval rate improved by 27%, students are satisfied with the changes made, and finally, the perception towards the electricity and magnetism subject indicates that it encourages improvement of soft skills.
Implementation of a chatbot for virtual attention of queries Case: Postgraduate School of the UNMSM
The COVID-19, in different businesses, has generated the need to migrate from face-to-face attention to virtual attention, for the DGEP (Dirección General de Estudios de Posgrado de la Universidad Nacional Mayor de San Marcos) face-to-face attention to those interested in making consultations regarding postgraduate studies was simply impossible considering that, due to the sanitary measures taken during the pandemic, the university closed its doors. The alternatives to continue attending could have been the implementation of the telephone consultation service or text messages, however, these alternatives had drawbacks such as: a high percentage of unattended queries, the fact that many users wished to make queries after regular working hours, the existence of frequent queries and the delay in responses therefore, in the present research a chatbot has been implemented to ensure the virtual attention of queries from the public providing an online attention, with adequate answers and 24 hours a day. Optimally satisfying the doubts of students and those interested in postgraduate studies allows reaching a greater number of applicants to the various specialties offered by the DGEP. As a result, 100% of the queries have been attended in a timely manner, reducing the average time of attention per use.
Deindustrialization and economic policies in the Pacific Alliance countries: 1986-2009
The objective of the study was to analyze the premature deindustrialization experienced by the countries of the Pacific Alliance between 1986 -2009. The research was applied, non-experimental and quantitative. In the hypothesis test, panel data regression techniques have been used with ordinary least squares and fixed effects approaches Statistical information has been obtained from the databases of: GGDC 10-Sector, UNCTAD-Statistics, WDI-BM, CEPALSTAT, and BID-WP-346. The result of the estimation of regression equations confirms the hypothesis on the decrease in manufacturing employment by -0.44%, -0.78%, -0.05% and -1.08% as a result of the 1% advance in financial and tax reforms, privatizations and labor flexibility respectively Likewise, manufacturing value added has been negatively affected by -0.63%, -0.03%, -0.26% and -0.02% due to the 1% advance in trade liberalization, financial reform, tax reform and privatizations respectively. The statistical value of R2 and F of both equations are statistically significant.
Improvement of Socio-Technical approach to improve Quality Management in a Service Company
The objective is to analyze the quality management system focused on socio-technical characteristics and principles in a company dedicated to providing advisory services to improve its performance. The results of the diagnosis demonstrated that exists social aspects to improve, in which we can apply socio-technical principles such as compatibility, limit specifications, and information fluidity, wherefore, implementing socio-technical aspects was proposed modular empowerment and autonomy, compatibility, limit specifications, fluid information, support congruence, consciousness – awareness, enrichment, and job sharing, time limitations, multifunctionality, action – research, which, are expected to reduce the human resources expenses, and improve sales, productivity, and market acceptance, and therefore generate a sustainable business for the company.
Improvement plan to reduce the operating costs of the company Tableros La Perla del Huallaga S.A.C. applying engineering tools
The present work was carried out in the company Tableros Perlas del Huallaga S.A.C, whose main activities are the processing and sale of melamine and wooden planks. To begin with, a diagnosis of the problematic situation of the company was made, in which it was identified that there were various problems such as: processes stopped due to lack of raw material, lost sales due to not being able to meet the demand, idle time for operators and production stops. failure machines Therefore, a calculation was made of the costs that these problems generated for the company, managing to cause economic losses in the last six months. Therefore, an improvement plan was prepared to determine the monetary costs incurred by the aforementioned problems and reduce them by approximately 25%. For this reason, industrial engineering tools were used, such as: 5s Methodology, Line Balance, TPM (Total Productive Maintenance) and JIT (Just In Time). The implementation of the plan was simulated through the ProModel version 2016 software and the Montecarlo simulation model. It was obtained as results that the improvement plan reduces costs to S/. 97,187.67, which represents a reduction of 27% which verifies the hypothesis. Finally, the economic evaluation of the improvement plan was carried out, where an IRR of 179% was obtained, a NPV of S/. 332,027.66 and a B/C of S/. 2.17, whose indicators demonstrate the feasibility and profitability of applying the improvement plan in the company. So that the company can increase its profits for the next periods.
Farfan Cabanillas, Joel Fernando Alberto
Design and Implementation of a Pick and Place System Using a 4 DOF Robotic Arm Integrated into a Longitudinal Horizontal Movement Base
The demand of the industry has motivated articulated robotic arms to increase their work area, thus generating the need to add a greater amount of longitudinal movements in the robots, giving them an additional degree of freedom. The project consists of providing a form of integrated longitudinal movement of the translational displacement type to a 4DOF robotic arm. The project consists of providing a form of integrated longitudinal movement of the translational displacement type to a 4DOF robotic arm. This translational movement will be generated by a stepper motor connected through an endless screw with which the translational base will slide where the robotic arm will be attached. The purpose of the system is to have a cyclical pick and place sequence. To validate the design, simulations of efforts present in each component and the torque necessary to move them, in the maximum state of reach of the robot, were carried out, obtaining the most critical points of torsion moments and forces generated in the base and the screws. robot clamping. The equations that govern the positioning of the entire system were calculated, the numerical values of these equations were implemented in a Matlab code, which sends the signals to the Arduino to control the movement of the servomotors. The program implemented in Matlab allows to program the autonomous and repetitive movement by fixed and variant coordinates for specific movement points, as well as object positioning routines to key points already selected in control.
Impact of COVID-19 on the use of ICT resources among university professors in Peru
In this paper, a descriptive quantitative research is carried out on the impact of digital migration derived from the COVID-19 pandemic on the frequency of use of ICT resources in the teaching activity of university professors in Peru. The main objective is to identify differences in the aforementioned impact according to the area of ​​knowledge of the teachers. A questionnaire designed by the authors has been used to measure the frequency of ICT use before and after the COVID-19 pandemic and the answers have been statistically analyzed. As a result, it has been obtained that the pandemic has caused a significant increase in the use of ICTs in all dimensions of teaching activity, especially those in which they are used less regularly. In addition, this increase has been greater among professors of humanistic-social areas than among professors of scientific-technical areas.
Redesign of Production and Retail Activities at Flower Shop, Inc. in Puerto Rico
Abstract – Flower Shop, Inc is a luxury flower shop located in Puerto Rico. In 2020, it experienced a 603% increase in demand, which resulted in moving from a kiosk to a full-size establishment. Several opportunities related to customer service and materials management emerged from this move. Some alternatives to improve the process included a Flower Price Calculator, Future Order Entry System, SIMIO simulation, 5S and others. With the alternatives selected an 85% reduction in scrap and a 9.9% reduction in service time was achieved.
Evolution of the Information Systems towards Knowledge Management Systems
In this research, the theme related to information systems and knowledge management is described and how they complement and interact with each other. Its characteristics, key concepts and in which areas are used, main similarities and differences that occur between these systems are described. Its importance is visualized in information technologies as a support mechanism to generate or transfer knowledge. Therefore, a model of knowledge management system is designed that integrates the fundamental product of an information system such as processed information and that through the process of managing knowledge is intended to generate new knowledge.
Gender and social differences affecting physics learning of Ecuadorian engineering students
We analyze how gender differences, and the social context of the students might affect their learning process in a first physics course, for engineering students in an Ecuadorian university. Starting from previously collected data we statistically established the interdependence of these variables, showing that female and lower income tiers perform at the same level of effectiveness in passing the general physics course. Selecting a sample of 76 students, we applied an inventory concept pre- and post-test to determine to which extent their gender and socioeconomic background affect their academic performance. The pre-test results show that, on average, independently from their socioeconomic background, several misconceptions in basic kinematics and dynamics concepts are spotted. Although the post-test result shows a ten-point improvement, only 40% of the population reaches the minimum passing grade in the individual assessments. Thus, although female and low-income underrepresented tiers, the need for developing more course activities that could strengthen the individual student’s performance is a necessary change in our region.
Design of improvement proposal for the reduction of waste through the 5s methodology and systematic layout planning under a kaizen environment in a bakery company in the food sector, 2022
The objective of this research is to determine the impact of the design of the improvement proposal through the 5S Methodology through the 5S Methodology and the Systematic Layout Planning technique under a KAIZEN environment for the reduction of waste from the bakery company. The methodology was quantitative, with a quasi-experimental design. The population evaluated was constituted by the total production time in working days, which are 2 per day, during the period from January to June of the year 2022, where 24 working days per month will be taken into account. Sampling was for convenience. The results obtained show a notable improvement that, if the 5S Methodology is correctly applied and implemented with commitment and discipline, will generate highly positive changes. In the case study, there was an average improvement of 70.16% more in all phases of said tool. . In summary, the correct application of the different resources will allow to have a control of the implementation, for this it is necessary to have periodic training for the personnel, and to be able to mitigate uncertainties, likewise to evaluate the compliance of what is proposed, it is necessary to carry out recurring internal audits.
Computational Numerical Control (CNC) Machines: A Systematic Review From 2015 To 2022
The following systematic review tries to group together the most information about machines by computational numerical control (CNC) in order to find the benefits and limitations for the mechanical industry that will lead to optimize the approaches that have been addressed. The method that was carried out in the present work was the methodology based on the PRISMA strategy finding a total of 33 articles, which was divided into 5 approaches that are the following: production, manufacturing systematization, design and maintenance. The results show the impact of CNC machines on both benefits and limitations, in addition to the distribution of found items by years, countries and continental level.
Design of a fixed-wing drone for blood packet delivery applications
This paper proposes a fixed-wing drone design for blood packages delivery applications to solve the slow and inefficient transport system of blood units for transfusions in emergency operations in regions surrounding Lima, Peru. What is sought in this project is the structural stability of a drone to carry a maximum load of 5 kg, which will deliver parcels through an autonomously operated drop-down cabin-box. The design consists of a series of sequential steps. First, the design of the wing assembly, which mainly involves the definition of the wing profiles analysis of the forces and moments of the schematic composition of a fixed-wing drone and location/measurements of the drone's wing and tail. Second, the de-sign of the fuselage and cockpit-deployable box maintaining the location/measurements of the wing configuration. Finally, the static-dynamic structural analysis to evaluate the state of stress of the drone structures subjected to constant forces in the flight time. This evaluation looks for a configuration in which all the loads and forces of the mechanism are balanced.
A design of an autonomous ground vehicle to automate the process of transplanting rice
Precision agriculture brought with it the implementation of new digital technologies, mainly autonomous vehicles, satellite images and IoT, to provide economic, productive and environmental benefits in the agricultural field. However, the main applications are focused on data management and monitoring of crop fields, so agricultural processes such as planting and harvesting are not yet fully automated. A clear example of this occurs in the cultivation of rice, which despite being one of the most important agricultural products in the world, the manual production method continues to predominate in developing countries. This work presents a design of an autonomous terrestrial vehicle capable of carrying out the rice transplantation process, having as its main characteristics its ability to move in the field of cultivation at a speed of 0.75m/s, transport a payload of up to 20kg and possess an autonomy of 1 hour. Which translates into an effective field capacity (EFC) of 0.21 ha/h, an operational equivalence of 7 workers/hour and an increase in the productivity of the transplant process of 200% with respect to the manual process. It seeks to provide farmers in developing countries with an affordable option, supported by numerical simulations, with which they can obtain the benefits of precision agriculture in the process of transplanting rice.
Variation of concrete compressive strength of f'c 210 kg/cm² when incorporating abutments and spirals as transverse reinforcements in the region of Cajamarca-2022
The main objective of this research was to determine the variation of the compressive strength of concrete specimens of f'c 210 kg/cm2 by incorporating stirrups and spirals as transversal reinforcements in different distributions in the Cajamarca-2022 region. The methodology followed consisted of an experimental design, in which 24 specimens were prepared for curing times at 7, 15, 28 days, having a total of 72 samples. ASTM C39 was followed to determine the strength of the cylindrical cores. As a result, it was determined that the average strength of the samples with spirals exceeded the values achieved for the samples with stirrups, this in the three curing times, thus obtaining for the 7-day age a maximum strength of 209. 263 kg/cm2 at a spacing of 8.33 cm, for the age of 14 days, a resistance of 222.654 kg/cm2 at a spacing of 6.25 cm and at the age of 28 days a maximum resistance of 315.107 kg/cm2 at a spacing of 5.00 cm, all these when incorporating spirals. Thus, when comparing results, it was observed that the strength variation of the specimens with spiral reinforcement exceeded that of the specimens reinforced with stirrups.
Digital information in user satisfaction mediated by digital inclusion in university students in extreme economic situation
The research sought to ascertain the relationship between digital information, which includes the exchange of digital information, information exchange, information need, and information search, as predictor variables in user satisfaction, and digital inclusion as a mediating variable. The methodology for the study follows a non-experimental research design an electronic questionnaire (n = 30 = 0.959 = 0.959) is administered to a sample of 233 university students from a public university in southern Peru under harsh economic conditions, using reliability and validity tests, factor analysis, and structural equation modeling with partial least squares. The results have shown a statistically significant effect between digital inclusion and satisfaction among university students in extreme poverty, and the levels of satisfaction and user satisfaction maintain a close dependency relationship. The exchange of information positively influences digital inclusion in the same way, that information search maintains a statistically significant relationship.
Benefits of the 5’s methodology in the Manufacturing Industry: A literature review 2017-2022
This literature review proposes to describe the benefits of implementing the 5's in the manufacturing industry, for this purpose 50 articles from journals indexed to databases such as Scopus, Latindex, Crosreff, Ebsco, Dialnet, Redalyc, among others, which were published in English and Spanish, and between the years 2017 and 2022. From the content analysis it was established that the implementation of the methodology in all cases improves productivity, in addition to improving the safety of the work environment, reduces costs, accident rate, improves human relations at work, increases commitment and promotes a friendly work environment. Likewise, it has been included as the main tool and base for the implementation of Lean Manufacturing and TPM, but it interacts very well with other tools such as Warehouse Management, Kayzen, SMED, Work Study, Layout, VSM, SIPOC among others.
Chemical composition and bioactive compounds of the peel and seed of grapes Quebranta (Vitis vinifera L.) obtained in the pre-fermentation stage of the elaboration of Pisco
Pisco is the denomination of origin of a brandy produced by distilling fresh grape musts from the so-called pisco grapes, harvested on the southern coast of Peru. During the conventional process, a pomace is generated, a mixture of peels and seeds and stem remains, the result of extracting virgin must from the grape as a result of pressing after destemming the grape. In the present work, a process is used that considers the controlled pre-fermentation of the crushed in a reactor equipped with an agitator with also controlled agitation speed, which achieves a greater recovery of must and an effective separation of husks and seeds. The objective of this work is to evaluate the nutrient and functional properties of the peel and seeds separated with the proposed process. For which the shells and seeds were dried in the sun, stored correctly in plastic bags, and then characterized. The proximal analysis of the shells and seeds was measured. In the case of the peels, their functional properties and dietary fiber content, total polyphenol content, anthocyanin content and antioxidant capacity were determined using the ABTS method. In the case of the seed, the oil was extracted, from which its fatty acid profile was determined. The results obtained show that the peels and seeds obtained have a high content of bioactive compounds, dietary fiber and fatty acids, respectively, and have great potential to be used in the food, pharmaceutical and cosmetic industries.
Analysis of the Work Experience and Level of Training Required for the Recruitment of Computer Science Professionals in Peruvian Public Institutions
This article presents a descriptive analysis of the work experience and level of training required by Peruvian public institutions for the recruitment of professionals related to information technology, computing or systems. The study proposes: identify the types of work experience and minimum training levels required for recruitment, determine the percentage of calls that require each type of experience, in general and according to the minimum time required, and determine the percentage of calls that require each level of training. training at a minimum. Three types of experience were identified: general, specific and in the public sector, as well as seven levels of training: student, graduate, bachelor's degree, graduate, graduate and collegiate, teacher, doctor. The most required experience scheme considers general and specific experience at the same time and it represents 54% of calls. Professionals with a "bachelor" level were able to apply to 55.7% of calls, while those with a "graduate" level were able to apply to 98.76% of calls.
Specialized social networks as a method of assistance in cancer prevention and control: a case study in northern Peru
This research aimed at developing a specialized social platform for individuals affected by cancer. The goal was to improve their quality of life and promote prevention through the sharing of experiences and knowledge, fostering a prevention culture. The main content management systems (CMS) available in the market were analyzed, and WordPress was selected for the development of the platform, along with the development of a specific methodology for the project. The results showed a positive impact on the quality of life of the patients. The users who actively participated in the platform, by consulting or sharing posts and comments, experienced a significant increase in their knowledge and understanding of topics related to cancer prevention and care, allowing them to apply this knowledge to decision-making for other patients.
Design and validation through finite elements of a crusher for the plastic industry
The increase in the volume of plastic consumption is a current problem and its reuse becomes necessary to care for the environment. That is why in the present work a pre-experimental investigation of a crusher for PET waste was carried out through finite element analysis using the ANSYS software. A static analysis was carried out to find deformations, stresses and a safety factor, as well as a modal analysis to find the natural frequencies and modes of vibration. Also, a complete transitory analysis was carried out to estimate the deformations, stresses and safety factors in a scenario as similar to reality as possible. The results found indicate that the first three modes of vibration, with natural frequencies of 1687 Hz, 1766.5 Hz and 1767.4 Hz, are the most critical and prone to be activated during operation. In addition, the stresses and deformations caused by dynamic loads were on average 20.12% higher than in the static regime, constituting an important variation that must be taken into account in the design of the crusher. Taking into account the results obtained, it is concluded that the design of the crusher is suitable for its subsequent manufacture, experimentation and commissioning.
Registration system for geotechnical logging and stereographic projection generation using Barton's Q index
The geotechnical logging process of oriented boreholes is a crucial task in preventing rock slides and falls in mines. However, this process is tedious and requires the recording of a large amount of information, which can increase the risk of errors when using printed forms or spreadsheet. Additionally, the data processing carried out in the mining camp can require a lot of time and increase the risk of errors. This paper presents a software developed to optimize the geotechnical logging process of oriented boreholes. This software allows for immediate data processing and reduces the possibility of errors, contributing to the reduction of accidents in the mine. Furthermore, the software improves the recording and analysis process by 25% due to the decrease in time, improvements in data analysis, and increased accuracy in graph generation.
A route-creating algorithm for Saildrones by comparing a pseudo straight-line route and wind direction
Control algorithms for drones are commonly focused on transporting the robot from point A to point B, this type of straight route becomes sufficient in the case of aerial drones, but in the case of a Saildrone (Marine drone propelled partially or totally by a sail, commonly rigid), A straight navigation between 2 points is not optimal. That is why navigation strategies are used for the control of vehicles with sail, consisting of the variation of the angle of attack of the sail and the route that the vehicle will follow. This last parameter of the strategy is the one that is sought to be obtained through an algorithm based on obtaining the real-time coordinates of the drone and the dest ino, together with the direction of the wind and the inclination of the Saildrone with respect to magnetic North, joining all these data through analytical geometry equations in order to be implemented in an autonomous drone controlled by a Raspberry SBC Pi 4. In this way it is sought that the routes generated are similar to those commonly used in sailboat navigation, with the ability to update the route in case the initial parameters vary unexpectedly, whether the location of the planeor the direction of the wind, in order to obtain an energy saving greater than 50% with respect to following a route in a straight line.
Numerical simulation of three degrees of freedom ball joint crossed spherical gear for a robotic arm prosthesis
The objective of this article was to evaluate through finite elements the design of a crossed spherical gear with two different materials (polyether ether ketone - PEEK and titanium alloy - Ti-6Al-4V) for a robotic arm prosthesis. ANSYS mechanical was used to simulate strains, stresses, natural frequencies and modes of vibration through the elements. The results obtained show that the maximum stresses are under the same edge conditions, therefore they are close between the two materials, however the titanium alloy material (Ti-6Al-4V) has a higher safety factor compared to PEEK. . Therefore, the spherical crossed gear made of titanium alloy base material has better dynamic behavior and a higher safety factor in the event of an eventual overload of the robotic arm prosthesis.
Didactic digital skills and virtual education in times of COVID-19.
This study aims to establish the relationship between instrumental digital competencies and virtual education in times of covid-19. Its approach is quantitative, descriptive, correlational, and cross-sectional. The population consisted of 5940 students from 7 faculties of a public university in Lima, distributed in 53 study programs of the 2021-I academic cycle. A representative probability sample of 360 was established. The results indicate that at higher levels of didactic digital skills of the teacher, there will be higher levels of virtual education received, which indicates that there is an effective and relevant management of various technological resources and methodological strategies in class sessions this will have an effect on improving the experience of students in virtual environments and is a factor that guarantees the teaching process However, not all teachers are perceived as having these skills, since in the survey applied 66.7% (240) of the students consider the teachers' digital didactic skills to be regular and the rest deficient and none efficient.
AGAVE AMERICANA FIBERS AND CONTROL OF CRACKS DUE TO PLASTIC SHRINKAGE IN RIGID PAVEMENTS
The cracks by Plastic Contraction are a pathology of the rigid pavements (hydraulic) that are studied in the present work that aims to identify if the vegetable fibers of the American Agave L. They control the frequency of cracks by plastic shrinkage surface of rigid pavements. For this, four test cloths were prepared. To the different hydraulic concrete panels were added the fibers Agave Americana L. in proportions of 0, 0.5, 0.75 and 1.0 percent of the total volume of concrete. After finishing, the presence of cracks during the setting period was evaluated with the use of a comparator microscope and a ruler. Fissure data were evaluated with an experimental design of separate samples. The results were obtained that the concrete added with 0.75 and 1.0% of Agave Americana L. fibers managed to reduce the presence of fissures by plastic shrinkage, while the dosage of 0.5%, reduced the propagation of cracks, unlike concrete without addition of fibers, which had the presence of cracks.
Using a business intelligence framework and data mining as computational tools in SMEs: Production forecasting of a hydroelectric power plant as a case study
The aim of this paper is to demonstrate the utility of using the CRISP-DM (Cross-Industry Standard Process for Data Mining) reference model as a data mining methodology within a commercial business intelligence (BI) platform for Small and Medium Enterprises (SMEs). To achieve this objective, the CRISP-DM model was applied, the Power BI application was used as a BI platform, and the methodology was implemented in a specific use case study within a hydraulic generation SME. The results show that the methodology can be easily applied with readily available hardware and software, resulting in better outcomes compared to conventional practices used in the company. Based on these results, it can be concluded that the method used delivers useful results, it is feasible to implement with accessible hardware and software for SMEs, and the reference model remains valid when the data mining objectives are well-defined.
An adaptable vacuum gripper design for egg packaging, attached to the KUKA KR 60-3 industrial robot
Packaging is one of the main processes for a company to satisfy the requirements imposed by the consumer within the production chain however, at present, the automation of this process has not been fully developed in the poultry industry in Peru, delegating the responsibility to a significant number of workers. Due to this, there are long working hours, production delays, the integrity of both personnel and the product is exposed, and the trust placed by the consumer is compromised. In consideration of the technological advances involved in industry 4.0 and the complexity of developing an end effector capable of adapting to multiple variations in the egg packaging process, an Adaptable Vacuum Gripper design is proposed, coupled to the KUKA KR 60 industrial Robot. -3, that it be dynamic and efficient when packing a maximum of 30 eggs in their respective cardboard or plastic commercial packaging without compromising the state of the product, alternating the number of eggs packed in relation to the distribution matrix of the end effector ( 5×6) and the capacity established by the type of packaging to be packaged. Likewise, the product can be coupled to any type of industrial robot through insignificant modifications that alter its base structure. With the proposed mechatronic device, it was possible to obtain an efficiency of 100%.
Deep Learning to support the recognition of pests and diseases in Yungay potato crops in the province of Cutervo, Angurra hamlet, Perú
The present investigation efficiently covers the need to classify according to the diseases or pests of the Yungay potato leaf in the province of Cutervo, Angurra village (Peru),specifically classify them as fly plague (PM=1), weevil plague (PG=2), streak disease (ER=3) or as no plague (SP=0). To achieve this, the digital images have necessarily been prepared to decrease in size and at the same time obtain their representative, this in order to enter the SOM neural network (self-organizing map). The functions based on artificial vision for the preparation of the image (in jpg format of varied dimensions), to the shots of the potato leaves, are 1200 images for training and another 1200 for tests, only the image being extracted from each scene. sheet, scaled to a dimension of 256x256 pixels to homogenize, extract its characteristics from each disease and passed to a tone of gray to be learned in the neural network, managing to verify with this sequence an accuracy of 99.42%, a sensitivity of 1.0, 0.99, 0.99, 1.0, a specificity of 0.99, 0.99, 1.0, 0.99 for SP, PM, PG, ER respectively in identifying disease class.
New Model for the Identification of Flow Units and Optimization of Results Through a Clustering Algorithm
Petrophysical characterization employs the concept of Hydraulic Flow Units (HFU) as an essential part of the workflow. The determination of these is possible through several methods and using the Kozeny-Carman equation. However, the models to identify HFUs are used without a rigorous analysis of their functionality on all types of reservoirs. Therefore, the following work intends to propose a new discretization equation, as well as the use of the k-means algorithm to improve the results of several of these methods. In this way, the structure of the discretization models of the flow zone indicator (FZI) was analyzed, such as the Global Hydraulic Element (GHE) and Discretized Rock Type (DRT). Deficiencies were found in the approach of these methods when analyzing the construction of the new discretization equation. These methods are based on the logarithmic distribution of FZI and other factors that determine the belonging of a sample to a certain HFU. In addition, the validity of the proposed methodology was contrasted by comparing the results in the core data of the Parinas formation of the field Alvarez Oveja. Likewise, the problem of the optimal number of flow units and its importance is analyzed so as not to lack a physical meaning or lose the degree of correlation between permeability and porosity. Finally, it is recommended to use the techniques developed in the analysis of groups to solve these problems and emphasizes the dependence of the equations that relate porosity and permeability. Petrophysical characterization employs the concept of Hydraulic Flow Units (HFU) as an essential part of the workflow. The determination of these is possible through several methods and using the Kozeny-Carman equation. However, the models to identify HFUs are used without a rigorous analysis of their functionality on all types of reservoirs. Therefore, the following work intends to propose a new discretization equation, as well as the use of the k-means algorithm to improve the results of several of these methods. In this way, the structure of the discretization models of the flow zone indicator (FZI) was analyzed, such as the Global Hydraulic Element (GHE) and Discretized Rock Type (DRT). Deficiencies were found in the approach of these methods when analyzing the construction of the new discretization equation. These methods are based on the logarithmic distribution of FZI and other factors that determine the belonging of a sample to a certain HFU. In addition, the validity of the proposed methodology was contrasted by comparing the results in the core data of the Parinas formation of Campo ˜ Alvarez Oveja. Likewise, the problem of the optimal number of flow units and its importance is analyzed so as not to lack a physical meaning or lose the degree of correlation between permeability and porosity. Finally, it is recommended to use the techniques developed in the analysis of groups to solve these problems and emphasizes the dependence of the equations that relate porosity and permeability.
Performance of Image Recognition with Machine Vision: A Systematic Review
The objective of this work was to identify the existing techniques, applications, equipment, and technologies applied in the recognition of images with artificial vision through a systematic review of the literature during the period 2020 – 2022. For the review work, the statement was used PRISMA in the selection and analysis of the 142 articles obtained from the scientific databases EBSCO, Engineering Source, ProQuest and ScienceDirect. Studies that were not directly related to the proposed objectives were discarded, identifying 28 articles for full-text review. The review results strongly suggest that Hopfield-type convolutional artificial neural networks are highly effective in performing image recognition and classification tasks. In the same way, the combination of technological tools such as YOLO, Roboflow, Python and OpenCV show that image processing and deep learning are driving new applications that improve the various performance metrics in these tasks. Therefore, artificial vision, unlike technologies that incorporate electronic devices with sensors, allows an interpretation of the environment with a higher degree of representation of reality, being robust to the complexity of data processing.
The importance of using simulations in industrial process automation: a case study in a water bottling company
In this article, the automation of a bottling plant in northern Peru is presented with the aim of improving efficiency and productivity. The main problem identified in the plant was the lack of use of any simulation software to analyze possible events in the production area, as all processes were performed manually. In order to resolve this problem, the ProModel programming software was used to analyze factors such as the number of operators, locations and entities. The simulation allowed for a better outcome and a more efficient simulation model was built, allowing for the measurement and standardization of the associated process operations.
Critical success factors for implementing Industry 4.0 in Latin American manufacturing pymes
Industry 4.0 is a strategic tool that allows the integration of processes and areas in an organization through two basic pillars: automation and digitization, turning this into a competitive advantage of interest for small and medium-sized companies in the manufacturing sector in Latin America that have as one of their purposes to be visionary companies. The objective of the study was to identify the critical success factors required to implement Industry 4.0 in pymes in the manufacturing sector in Latin America, by conducting a systematic review. The main results were the identification of the similarities and differences of the critical success factors for the implementation of Industry 4.0 in pymes in the manufacturing sector in Ecuador, Argentina and Peru. Having as conclusions that the critical success factor in common among pymes in the manufacturing sector of the countries of Ecuador and Argentina to implement Industry 4.0 is the technological factor, while for the countries of Ecuador and Peru it is the strategic factor, and for the countries of Peru and Argentina it is the digital factor. Finally, it was concluded that pymes in the manufacturing sector in Ecuador differ from those in the countries of Argentina and Peru in the analysis of their critical success factors for implementing Industry 4.0 through a maturity level under the use of a Likert scale.
Simulation to Improve the Thermal Comfort of a High Andean Hotel Employing Insulating Materials and Air Conditioning Equipment
Thermal comfort is one of the essential elements to improve the comfort and satisfaction of hotel guests. In Andagua, a Peruvian high Andean town where temperatures can drop below 0°C, buildings do not provide adequate thermal comfort for occupants to feel comfortable inside the building, which impacts the length of stay and the profitability of the hotel business. This study evaluates the commercial insulation materials available in Andean cities through software simulations to determine which provides the best insulation to improve the thermal comfort of hotel rooms. The results indicate that thermal insulating materials accompanied by a heating system can change the cold thermal sensation to slightly cool throughout the day. According to the Fanger method, only 20% of the guests will feel discomfort in these conditions, thus improving their satisfaction and increasing the length of their visit to the hotel.
Modelo de optimización de flotas refrigeradas anchoveteras en una empresa pesquera peruana
This paper shows a linear programming model whose main objective is the conversion of conventional fleets to refrigerated fleets with RSW system, in order to guarantee a better quality in the preparation of anchoveta fishmeal. Likewise, the proposed optimization model contemplates the maximization of profits associated with the increase of refrigerated fleets with the RSW system, complying with the costs established for said objective.
Removal of a dye used in the textile industry using avocado seed Hass variety as a bio-adsorbent
Arequipa is a Peruvian city that produces a significant amount of avocado. This generates a significant amount of avocado seeds that are discarded without any use. The present research proposes Hass avocado seed as a promising bio-adsorbent of a textile dye (Novacron Navy FNB) from contaminated water at laboratory scale. The percentage of dye removal by avocado seed powder was studied taking into account the effect of factors of interest in the adsorption processes such as pH, bio-adsorbent dosage and particle size. Adsorption kinetics and Zero Charge Point were evaluated. The results show that avocado seed powder removes 97.46 % of a 100 mg/L Novacron Navy FNB solution at pH=2, a dose of 1 g/25 mL and a particle size of 75-150 μm. The adsorption process was adjusted to pseudo-second order kinetics with the limiting factor being chemisorption. The point of zero charge was pHPZC=5.5 and considering that adsorption process is better at pH=2, it can be said that one of the bio-adsorption mechanisms of this process would be electrostatic attraction. This study has demonstrated that the Hass avocado seed is a renewable resource with dye adsorption capacity and can be tested to evaluate its removal capacity in textile wastewater, since it is an abundant and low-cost waste.
IoT-based system prototype for particulate matter monitoring in the city of Chitre, Panama
Air pollution is a global problem that has been increasing in recent years due to industrial growth in countries. One of the most harmful air pollutants is particulate matter due to its possible effects on human health and its rapid dispersion over large areas. Therefore, the purpose of this study is to design a prototype system based on the Internet of Things (IoT) to measure environmental pollution, specifically PM10 and PM2.5 particulate matter. The prototype is made up of a Nova PM SDS011 sensor that detects particles, such as dust, dirt, soot and/or smoke in the air a microcontroller that is in charge of controlling the tasks in the system and sending the information to through the Internet to a data visualization platform that stores and displays all the data in real time interactively through tables and graphs. For its validation, the prototype was implemented near a landfill that is exposed to the open sky in the city of Chitré-Herrera-Panama, where a study was carried out to determine the concentration of particle and air quality. The obtained results showed that the prototype is a viable tool for measuring the concentration levels of particulate matter, since during the measurement period interesting patterns were obtained regarding pollution and population behavior. In addition, our analysis also showed that the proposed design is accessible to a large part of the population due to its low cost, which makes it competitive with other commercial products. For all these reasons, our research seeks to provide an efficient and low-cost technological tool to the population to obtain relevant information on the levels of contamination of particulate matter present in the city of Chitre.
Feasibility of Using Pervious Concrete in Tropical Climate
Floods are one of the costliest natural disasters in the world and represent a common hazard to the Caribbean, specifically to Puerto Rico. Floods can be local, impacting neighborhoods and communities, or large-scale, impacting regions or the entire Island. Some floods develop slowly, sometimes over a day or more. However, flash floods can develop quickly, sometimes in just a few minutes and without visible rain signs. Urban development still needs to integrate water systems safely and sustainably into urban space. This article explains an alternative concrete design could reduce flood areas and address this to manage urban flood risks better. Pervious concrete constitutes an efficient best management practice stormwater management solution not just for flood mitigation, but also for water reuse.
Bio-based carrageenan composite coatings for food packaging application
Biopolymers has been considered suitable materials for the development of alternative packaging in particular, carrageenan and its composites has been explored for the development of flexible films and coatings because of its properties. The aim of this work was to develop carrageenan-based coatings for food packaging applications using anthocyanin from purple corn and oregano oil as additives. Samples of strawberries, swordfish, chicken breast and sausage were coated and evaluated for 30 days. In addition, biodegradability and characterization tests were performed by using spectroscopy and thermal analysis. Samples coated with coatings containing 5% w/w oregano oil demonstrated to inhibit the growth of mold fungus until for 15 days, while composites with 1% and 3% oregano oil presented mold after 5 days. Anthocyanin was added as a pH-indicator in films and films turn darker, indicating a degradation process form meats. Biodegradability tests showed that all formulations degrade following three stages, achieving a weight loss of 35% after 30 days. In conclusion, carrageenan-based coatings could be considered in packaging systems to increase the shelf-life of food. Oregano oil provides antifungal activity and anthocyanin give pH-responsiveness. The coatings demonstrated biodegradability and characterization demonstrated that the main structure of carrageenan in coatings was not altered.
Biosafety to Reduce Industrial Worker Illnesses Caused by Exposure to Antioxidants in Fish Meal
The objective of this study is to use biosafety to reduce illnesses in packing personnel caused by exposure to antioxidants in fish meal in an industrial plant. The work was carried out in the packing area of Hayduk S. A. in Chincha, Peru. A pre-experimental study was carried out using biosafety as a stimulus. Using the SPSS version 22 program, surveys, pre- and post-tests were carried out, and with the data collected, the standard deviation, normality tests and the t-student test were calculated. The following conclusions were drawn: In the pre-test, 100% of the workers had no knowledge of biosafety, did not know how to react in occupational accidents and did not understand the meaning of the Occupational Medical Evaluation (OME). However, after the training, workers demonstrated a thorough knowledge of the subject and were fully aware of the need to take precautions in case of occupational accidents, among other things. R is -0.872 for the linear correlation. This shows that there is a strong correlation between the observed data of positive changes in worker behavior, commitment and knowledge about biosafety, resulting in disease mitigation. This is an inverse, moderate, negative correlation. It is advisable to maintain scheduled training on biosafety and occupational health issues.
Sensory perception of a sorbet-type ice cream based on yacon (Smallanthus sonchifolius), Peru-2023
There are Andean tubers, such as yacon (Smallanthus sonchifolius), whose consumption is limited despite the multiple functional properties it possesses preparations made from this tuber are scarce. Previous studies indicate that Andean tubers contain a wide variety of uses that could be implemented in people's diets. The study carried out was the result of a thesis and its objective was to determine the sensory perception of a sorbet-type ice cream based on yacon (Smallanthus sonchifolius) in the city of Trujillo-Peru, 2023. The study had a quantitative, descriptive, applied and cross. The sample consisted of 123 students from the Gastronomy and Restaurant Management career. The instrument used was an observation guide, which evaluates 4 dimensions: color, smell, taste and texture. Each participant was given a 30 ml sample of sherbet ice cream. After analyzing the data, it was found that the product had a general acceptance of 55%, within the dimensions evaluated, the one with the highest score was the flavor with 83% acceptance, followed by the texture with 81% acceptance, then the color, with an acceptance of 61% and finally the smell had an acceptance of 46%. The participants described the product as: sweet, refreshing, fruity, odorless, yellow in color and natural looking. It was concluded that the yacon (Smallanthus sonchifolius)-based ice cream sorbet had a sensory perception of "pleasant" so it can be turned into a product with functional properties with commercial potential. Further studies are recommended to improve the standard formulation in relation to smell and determination of sensory perception in other participating groups.
Tax planning and compliance with tax obligations. A case study, Peru
The objective of the research was to determine the impact of tax planning on compliance with tax obligations of a small company dedicated to construction, during the periods 2017-2019. The methodology used was a quantitative, cross-sectional, explanatory level, non-experimental design, and linear type with a single observation group in terms of its contrast technique. The analyzed information consisted of the accounting and tax documents and reports of the company during the study period. The results show that due to a lack of knowledge of tax regulations, contingencies occurred in 2017, such as choosing the wrong tax regime, late filing of monthly tax returns, inadequate record keeping, and other formal obligations, obtaining a "moderate" compliance rating (78%) according to the proposed scale. After implementing tax planning, detected deficiencies were improved and regularized, and outstanding debts were settled. As a result, the tax burden was optimized, and "very high" compliance percentages were achieved, 88% and 94% for the 2018 and 2019 periods, respectively. It was demonstrated that tax planning has a significant impact on the company's tax burden compliance with positive variations of 25.8% (2018) and 29.7% (2019) compared to 2017 Therefore, the hypothesis was confirmed.
Design of a Technified Automated Irrigation System in Las Lomas de Villa María remotely controlled using IoT
This project proposes an automatic system in Lomas de Paraíso, which allows tara plantations to be irrigated automatically and manually throughout their vegetative process. This technified irrigation system can be operated both locally with a panel that has a human-machine interaction interface, and remotely through a mobile application. It also presents scalability allowing to increase irrigation zones and to be able to be replicated in other places due to its low cost and easy operation.
Productivity improvement in an agribusiness dedicated to the export of snow peas using Lean Manufacturing and Mathematical Optimization tools
This research focuses on the situation faced by an agribusiness that processes Snow Peas in the planning of its supply chain in the phases of the crop field, transportation to the production plant, and the processing plant. The planning is carried out in the short term horizons, which deals with the allocation of the operators' tasks in order to fulfill the customers' orders and the medium term horizon that determines the monthly planning based on the harvest forecast data provided by the crop fields. In a previous research, a vehicle routing algorithm was developed to optimize the collection of raw material [1]. Once the raw material arrives at the processing plant, there is a workforce of approximately 200 people in different production areas that have an 8-hour workday, and whose production capacity is about 5.6 tons of raw material entering the plant. The principal problem detected in the research is the lack of reliability in the forecasting method for the supply of raw material for example, on several occasions, an entry of 5 tons of material is estimated when at the end of the day only 2 tons enter the plant, which generates a very high variation in the use of the plant's capacity. Also, it was determined that there is a deficient standardization of processes and a low operational capacity in the selection, cutting, and packing areas, which is reflected in a cost of US$1.2 per kilogram processed. Therefore, this research determined a three-phase methodology to improve the processes using lean manufacturing and mathematical optimization tools. In the first phase, data was collected from the crop fields in order to create a multivariable mathematical-statistical model the model obtained has an accuracy level of 85%. In the second phase, a value stream mapping was carried out to determine value-added times, non-value-added times, and activities that do not generate value this was the basis for restructuring process operations and developing a new layout that maximizes the production flow. In the third phase, a mathematical SOP model was developed to determine the number of operators per week to maximize production capacity. The application of the research resulted in an 80% increase in workers' salaries, a 150% increase in capacity, and a reduction in production cost to US$ 0.38 per kilogram processed.
Technology for monitoring tremor in the upper extremities of patients with Parkinson's disease: a systematic review and a proposal
PD patients come to experience a wide spectrum of cognitive, psychiatric, non-motor and motor symptoms. Tremor is one of the initial symptoms described by 70% of patients diagnosed with PD and quantifying it will allow the specialist to know the evolution of his patient and the possible treatment to implement. The objective of this research is to identify systems, devices or instruments and the methods used to monitor tremors that affect the upper extremities of patients with PD. In addition, this work proposes an initial prototype system that allows the capture of involuntary movements that occur in patients with PD. It was observed that the largest number of articles use their monitoring devices in controlled environments and despite the fact that there are many studies that are developing devices for monitoring tremors in the upper extremities, more efforts are still needed in this area. Many studies conclude that using IMU sensors has proven to be a good technique that allows monitoring of tremors. Other results obtained show that the proposed prototype works correctly, since when compared with a commercial application on a cell phone, very similar values are obtained, demonstrating its proper functioning.
Influence of an information system in the control of incidents of school bullying
School violence or bullying can be reported by students through an incident logbook, but this process is not widely known or is avoided out of embarrassment. Additionally, the paper record is susceptible to loss or damage. For this reason, an investigation was carried out to develop an incident management system for an educational institution, with the aim of recording and controlling incidents of school violence. The process began with the awareness of teachers about its importance and continued with the implementation of the software, finally the system was implemented for end users, including administrators, teachers and students. As a result, it was found that the information system had a positive impact on incident control, increasing the number of incidents attended by 50% and optimizing time by 40.42% for the registration and treatment of new incidents.
Method of marketing products through Sales promotion to increase sales in a retail Mype
In Peru, micro and small enterprises (MSEs) are important for the country's economy however, more than 50% of the MSEs could disappear due to the absence of customers, which does not allow them to grow in sales in the long term. The problem of this research article is the low growth of MSMEs in the retail sector Therefore, this research seeks to use a method in order to increase sales not only in a retail store but also in a Mype store in a bazaar. Therefore, after analyzing the situation of the mypes, a diagnosis of the current situation is developed and the main causes of the problem are identified, in order to find a product marketing model to increase sales in a mype. 95% to Y%. In conclusion, the model succeeded in increasing sales and consequently, the annual sales growth increased.
Análisis de vulnerabilidades a un Raspberry Pi en un ambiente simulado
Los dispositivos IoT actualmente forman parte de nuestro entorno, recopilando datos e información que debe ser confidencial. Por esta razón se debe saber que vulnerabilidades presentan los dispositivos que se estan usando. En este artículo se demuestra que los dispositivos Raspberry Pi no tienen un sistema de defensa que detecte archivos maliciosos o infectados por virus. Esta es una de las razones por la que son vulnerables a diversos ataques. Para comprobar esto, se realizaron tres diferentes ataques, Man In The Middle (MITM), Backdoor y Denegación de Servicio (DoS), al dispositivo Raspberry Pi usando una máquina virtual con sistema operativo Kali Linux. Se demuestra que Raspberry Pi con el sistema operativo Raspbian, es vulnerable a algunos de los ataques de prueba. El tiempo que le toma al atacante ejecutar los ataques Man In The Middle y backdoor es de 1 segundo. En el caso del ataque Denegación de Servicio (DoS) toma ejecutarlo 60 segundos. Se demostró que un ataque MITM toma mucho más tiempo en ser preparado aproximadamente 15 minutos, en comparación que un ataque DoS que te toma 8 minutos.
Proposal for the automation of the rolling process in the assembly of parts in automotive vehicles
In the city of Cajamarca, there has been a high demand for welding services on metal parts and production of automotive spare parts. To address this shortage, a diagnosis was carried out to establish the problem and prioritize its solution. With the aim of improving the assembly automation system for trailers, it was decided to automate the rolling operation in order to guarantee the quality and finish of the sheet that will later be used in the assembly of the trailers. The electronic software Cade_Simu was used to create electrical control diagrams, and PLCs were implemented to achieve a more efficient count of the trailers produced by the machines, as well as better control of the production of rolled sheets. In addition, the SCADA system was integrated to allow for acquisition, supervision and control of the trailer design.
Strategies for Transition to Clean Energy: Household Cooking in Panama
This paper presents the planning and implementation of a program to replace traditional energy sources such as Liquefied Petroleum Gas and firewood for electricity, based on the analysis of different data from the domestic sector in Panama. The main steps and indicators that must be taken into account when making a proposal to plan and implement a polluting fuel substitution program are shown, proposing in the first place to carry out a market study to detect market failures that may affect implementation: barriers cultural, financial, institutional, lack of objective data. 3 different approaches are proposed, including strategies and tactics that could be clearly stated and transparently executed. The results generated from this evaluation will help guide investment objectives, prioritize needs and customize the evaluations to the needs of end users to achieve the transition from traditional fuels to electricity in the domestic sector.
Prediction System to Control the Spread of COVID-19 in People Who Work in Person in the Los Olivos District
In Peru, the COVID-19 pandemic affects various private and state sectors, due to the spread of the virus. The current government decreed quarantines to reduce infections, which implied that part of the population would have to stay at home , but a group of people carry out face-to-face activities and also cause contagion to younger people or older adults.The objective of this research work is to create a prediction mobile application that allows to identify if a person who carries out economic activities in person is exposed to contagion, depending on the transport chosen and the time to reach their destination.In order to develop the solution, data was collected from pages of the Peruvian government in charge of controlling the spread of the epidemic and when analyzing the data, the variables for prediction were identified through decision trees. Azure machine learning, SQL language, was used for the development of the project. The Kanban methodology was used to develop the project and the CRIPS-DM methodology for data analysis.The result was a mobile application to carry out a test on possible COVID-19 contagion.
Productivity increase in the manufacturing process under the SMED methodology of Lean Manufacturing
Productivity in companies allows to improve operational and quality efficiency. An OEE level below 65% represents low effectiveness and high downtime in the production line. The objective of the article is to increase the productivity levels of a Peruvian microenterprise in the textile and apparel sector, which in its last period obtained an OEE of 31% compared to 75% at the level of international standards. Previous studies applied various solutions to increase productivity levels. The main tools used were Single Minute Exchange of Die (SMED), 5'S and Six sigma of Lean Manufacturing. They managed to increase the productivity index from 0.38 to 1.16 and reduced default processes from 13.12% to 4.23%. They reduced the idle times that generated major delays, transforming them into parallel activities, increasing the production capacity from 4 units per day. However, these solutions were carried out in garment manufacturing micro-companies. The motivation was to be able to carry out the implementation of these tools in the production of hand luggage for the armed forces. For this purpose, the SMED tool was applied in order to eliminate downtime and increase the productivity level to reduce production costs using the least amount of resources. The validation was checked by means of the following case study which obtained as main result an increase in productivity of 51% and an OEE of 86%. It was concluded that the implementation of the SMED tool reduces downtime during the manufacturing process.
Implementation of a TMS system for efficiency in the supply chain
Abstract - The present study had the objective of determining the influence of a TMS system for efficiency in the supply chain of San Fernando in Lima-Peru 2022. The approach was quantitative of the applied type, with a pre-experimental design. The population for this study consisted of 44 employees directly related to the activities of the supply chain of San Fernando S.A. with a census sample which consolidates the entire population. The data collection technique for this study is the survey and the observation sheet. Primary data, obtained by questionnaires that were validated by the expert judgment method, with a reliability level of 88%, were analyzed. As well as secondary data of indicators of the enterprise resource planning (ERP) system (before the implementation of the TMS) and the TMS database (after the implementation). In addition, the SCRUM framework was used. In this sense, the development and successful implementation of the TMS demonstrated a positive impact on the efficiency of supply chain operations, with a specific impact of 21.60% improvement in efficiency in delivery time management, 23.20% of improvement in total transportation costs and a 29.20% improvement in data quality.
Improvement proposal based on Lean Manufacturing tools to reduce overcosts in the production and maintenance areas at Molinera de cereales, Trujillo 2021
The general objective of this investigation was to determine the influence of the improvement based on Lean Manufacturing tools on cost overruns in production and maintenance areas at Molinera de Cereals, Trujillo 2021. Data collection techniques such as observation and documentary analysis were used. Based on this, the problems that affect the costs in the company were determined, being: the lack of production programming, lack of supplier management, lack of quality control, lack of machinery, lack of staff training, lack of a maintenance plan and lack of stock of spare parts, for this reason an improvement proposal was developed in the areas of production and maintenance applying Lean Manufacturing tools such as: MRP, Diffused AHP Supplier Management, Training, Line Balance, Preventive Maintenance and Management of critical spare parts stock, obtaining an annual benefit of S/79,640.20, in addition, a total reduction in the costs of the production area of 64.28% was achieved, that is, there is a saving of S/ 307,858.58 per year and of the area of maintenance of 72.88%, that is, there is a saving of S/539,543.61 per year. Finally, the results obtained were compared, showing that Lean Manufacturing tools reduced cost overruns. Finally, the contributions of this study will be used for future research taking into account the variables used and the Milling sector.
An implementation of a system that emulates the operation of a pipe positioning arm for Raise Boring application
The lack of an automated system for pipes positioning in Raise Boring mining works (RB) generates time and financial losses for the company due to a greater number of use errors produced by the operators. For this reason, reducing the intervention of users in the RB tunneling and raising process is expected to increase work efficiency. The objective of the project is to design and test, through the implementation of a scale model, a pipe positioning system that operates autonomously from direct and inverse kinematics. The function of the system is to pick up a horizontal tube and place it at the required point in a vertical position or with up to 45° inclination. The robotic arm has 4 degrees of freedom (DOFs). The implementation was done with servo motors and the parts were printed in 3D. The coordinates of the arm positions were obtained through the simulations carried out in Python code, which were compared with the real coordinates of the prototype implementation. After that, an accuracy of 96.29% and an average operation time of 16.21 seconds were obtained in the tests carried out, which demonstrates the effectiveness of the implemented system.
A graphical programming environment oriented to the reactive paradigm for the multimodal control of an intelligent robot based on Raspberry Pi
In the fields of computer science and electronics, the wide variety of tools and resources available for artificial intelligence and robotics are aimed at people with a certain level of expertise, so it is difficult for students to enter these fields without receiving help from specialists. Considering the above, this project proposes a didactic and affordable development environment for graphical programming based on nodes and a robot controlled by Raspberry Pi. The software architecture was made in Python with the support of graphic resources that allow the integration of libraries for signal processing, remote connection and artificial intelligence under the functional programming paradigm for the translation of instructions that are executed remotely in the robot controller. The result obtained was a friendly and intuitive programming environment that provides artificial intelligence functions to a multimodal robotic system controlled by Raspberry Pi.
Reduction of the rate of returns in the publishing sector through a management model using the Business Process Management methodology and 5S
One of the main problems that every newspaper publishing company has is returns, since a high rate of returns generates a significant decrease in profits. When analyzing the return rates of international and national newspapers, it was determined that the company under study has a rate of 24%, which is higher than that of the other newspapers analyzed, since the ideal would be below 16%. In previous research, the agile SCRUM methodology was applied and reduced newspaper returns by 15%. Likewise, by implementing the BPM methodology, they were able to reduce incomplete dispatches from 34% to 14%. Distribution is a key process in the publishing sector because, if products are properly distributed and optimal delivery is ensured, the company will be able to increase its sales and its rate of returns will be minimal. Therefore, this research seeks to create a management model to reduce this problem through the use of the 5S methodology, BPM and dashboard control, in order to efficiently manage the indicators and consequently maximize their profits. Therefore, by implementing the solution model, it was possible to reduce the rate of returns and improve the condition of the warehouse. Finally, it is recommended that companies have standardized processes and apply tools that facilitate the visualization of their data in real time.
Design of an automated drip irrigation system. A case study in a blueberry cultivation nursery
This research was carried out with the aim of designing an automated system based on Arduino UNO for drip irrigation of blueberry cultivation. In the current context, maintain an irrigation system that optimizes water consumption while leading to efficient crop development, represents a problem that leads us to use innovations to automate an irrigation system and create an ideal condi-tion for crops. In this regard, a methodology was developed based on the analysis of components suitable for the needs of the project, subsequently the system proposed in the Proteus software and the programming that couples the parameters of the tem-perature and humidity conditions using the Arduino IDE environment was designed Overall, all the work made possible the 3D construction in the Sketchup software with the characteristics of the design proposed in a nursery located in Cajamarca-Peru. Therefore, the results obtained show that the irrigation system is responsible for supplying the water efficiently, in which the water pump operates when the temperature level is high, and the humidity level is below the established conditions.
Case study: Comparative teacher communicative competence in two faculties of a private university in Lima, Peru. A methodological approach.
Communicative competence is key to the professional development of various specialties, both in sciences and humanities. Thus, the present case study aimed to understand what communicative and methodological factors are used by two professors from two different faculties, one with a humanistic approach such as Psychology and with a focus on sciences such as Engineering from a private University in the city of Lima, Peru. Doing so, we seek to understand in depth the dimensions that make up this competence and methodological practice in order to identify the behaviors and actions that compose them. The research began with the theoretical review of the basic concepts of communicative and methodological teaching competence, depending on the use of space, resources, techniques, dynamics, exercises and language management within the classroom. Then two diagnostic instruments were systematized and proposed based on them. Then we proceeded to the validation and improvement of these instruments, the methodological design, the selection of the study subjects, the observation of the sessions and finally the analysis of the results and the corresponding conclusions of the same. The study showed that the four dimensions defined in the study of this case correspond to demonstrable behaviors within the teaching practices of the study subjects. However, the research managed to show that not all dimensions are executed consciously by teachers.
Modeling and simulation of an alternative refrigeration system used for liquefaction in a liquefied natural gas production plant in Peru
This paper is the result of a research work on the modeling and simulation of an alternative refrigeration system used for liquefaction in a liquefied natural gas (LNG) plant in Peru. The plant is located in Pampa Melchorita, Lima and is the first natural gas liquefaction plant in South America, which is exported worldwide. In this research we used the ProMax 5.0 process simulator that allowed us to model and simulate the base scenario approximating the real plant using composition, temperature and pressure variables established by the plant itself to obtain a high reliability of the results obtained. After this, an alternative scenario was developed, based on the real one, where the composition of the refrigerant mixture containing ethylene was changed to ethane to check if this new mixture was able to liquefy the natural gas. In this alternative scenario, the LNG achieves a temperature 1.8 °C lower than that of the base scenario, avoiding the import of ethylene from overseas by the plant.
Automation of the control process of a fruit labeler using state machines
Abstract – This article presents the automation of a fruit label dispensing system using a PLC programmable logic controller. The finite state machine method is used for system design and programming, Boolean algebra and Karnaugh maps allow us to simplify the transition table of a Moore-type state machine. These methods allow for a simplified implementation process for the Ladder language, industry standard IEC 61131-3. The experimental results, carried out in a prototype, validated the proposal in an acceptable way, allowing to label the fruits that the process transports.
Innovative activities in sustainable innovation. A Colombian study
This research examines the relationship between innovative activities and sustainable innovation in Colombian companies. It is a quantitative non-experimental study with a cross-sectional design. The sample was obtained from the national innovation survey of Colombia. The econometric model used was Probit regression. The results show that research and development (R D), the acquisition of machinery and equipment, and training are the activities related to sustainable innovation. The innovative strategies and activities of these companies are focused on the market through the development of R D and training in innovation activities. This research sheds new light on the relationships between innovative activities and innovative performance in developing countries, where the evidence is scant.
Digitization and Tourist Intelligence: an option to improve the profitability of the Chimbote hotel industry, 2022
Many businesses linked to the hotel industry have had serious difficulties to reactivate due to the health and economic situation that has been experienced since 2020 by COVID-19, seeing their profitability affected, compared to 2019. However, the Companies that have implemented digitization and tourism intelligence have been able to increase their sales in times of pandemic. However, the traditional hotel industry that has not been able to access these technologies has been relegated in its economic activities. In this sense, the objective was to determine the incidence of digitization and tourist intelligence as an option to improve the profitability of the Chimbote hotel industry, 2022. For this purpose, the study was of an applied type, likewise, its design was non-experimental., cross-correlational. The technique was the survey and the instrument the questionnaire, the population and sensible sample consisted of 11 hotels. The results indicate high levels in both variables, however there are several aspects to improve. Finally concluding that there is a highly significant relationship between digitization and tourism intelligence and profitability.
Espinoza Rodriguez, Olenka Ana Catherine
Development of a Semi-distributed Hydrological Model at daily level using Neural Network
A semi-distributed daily precipitation-runoff model was developed and applied to the sub-basins formed by the Barrios, Puente Paltashaco, Teodulo Peña, Malvados and Obrajillo hydrometric stations. For the development, use was made of neural networks of the Pre-fed and NARX (nonlinear autoregressive network with exogenous inputs) type, where it has been observed that the NARX network, specifically its parallel series version, has obtained the best results in the performance indicators, these being the NashSutcliffe Efficiency and the Peak Difference.
Integrated Management Systems and the profitability of Contractors in contractor companies linked to the mining sector
The sector of contractor companies, directly linked to mining, constitutes a motor of economic development and therefore of improvement in the quality of life of the inhabitants of the locality in which they operate. Like other business organizations, they are considered complex entities and need disruptive management models that take into account economic and social complexity and that allow sustainability by generating profitability. The purpose of the study is to determine the relationship between the integrated management system (GIS) and the profitability of a contractor company in the mining sector, Cajamarca, 2022. For this, a quantitative, correlational, non-experimental cross-sectional study has been carried out. Has been used using as an instrument that has a validity of total applicability and a reliability of 0.88. The results obtained glimpse the level of significance in each relationship, integrated management systems and profitability (p= .000 r= 812) processes and profitability (p= .000 r= 741) interest group and profitability (p= .005 r= 597). It is concluded that the Integrated Management System is directly and positively related to the profitability of the contractor company belonging to the mining sector.
PI2C: International Program of Scientific Initiation in Engineering Students
The International Program for Scientific Initiation (PI2C) is an activity that was implemented within the scope of the COIL methodology. Created and developed by the Universidad Católica San Pablo (UCSP), in Peru it was carried out collaboratively between professors and engineering students from different Latin American universities and sought to promote the interest of future engineers in research hand in hand with the promotion of intercultural skills.
Biofeedback Prototype System for Stress Level Assessment during a Driving Simulation Session
Urban traffic congestion has become a factor that generates stress, mainly in people who drive daily. For road safety reasons, it is crucial to identify whether driving a vehicle increases the driver's stress level because this could affect their health or decision-making. This research seeks to determine whether driving (in a simulation environment) alters the stress level of people. Therefore, a biofeedback system prototype is designed and built based on heart rate sensors, body temperature, and brain activity to measure the increase and decrease of these parameters. Considering that each person responds differently to stimuli, the experimental procedure applied the questionnaire to DASS-21 and binaural music to analyze the participants' stress levels before the experiment. The data collected were reviewed by a physician to ensure the sensitivity of the sensors to the physiological parameters, reaching 92% reliability.
Development of a system for intelligent irrigation for the automation of water use
In the present investigation, a system for intelligent irrigation based on the Internet of Things (IoT) was developed, achieving an interconnection of sensors, actuators and software, in addition to this, we worked with 3 study areas, which were the following: "Agronomy ”, the state of the art was carried out on the characterization of the Crimson Giant radish, in this characterization the soil humidity was found to be between 60% and 65% "Computational electronics", where the study was made on microcontrollers, sensors, actuators, and wireless communication, thanks to this a kit was built, which allowed humidity control, activation / deactivation of actuators (pump, solenoid valves) and data sending wirelessly. Finally, "Software", thanks to the scalable system, allowed crop management, configuration and humidity control, and real-time monitoring.
IoT System Infrastructure Design for Management of Specialized Engineering Education Laboratories
The present research work is based on the design of an integral management system that links two fundamental perspectives of a specialized engineering teaching laboratory The first being the internal functioning of the environment, which includes records of use and maintenance of equipment, consumption of supplies, training of user personnel, entry and exit of PPE's and low assets and the second, the indicators of the specialized engineering laboratory as part of a university campus, such as the use of the environment, the number of hours used for the development of classes in comparison with those used for the development of research work, the energy expenditure of the environment and the management of access to it. Seen in this way, the management of a specialized laboratory within a university campus is a shared responsibility between the academic area of management of specialized environments (laboratory supervisor) and the area of academic campus operations, both having to report to the different administrative areas. that require information from the specialized laboratory for various purposes, such as infrastructure maintenance, generation of quality indicators, use analysis for projections to subsequent periods, etc. This can result, and does indeed result, in redundant requests for information to both areas. It is in consideration of these factors and requirements that it is decided to design, based on the current flow of information, a comprehensive management system that allows monitoring, recording and in specific stages, automate the management processes of the specialized laboratory Through the design and simulation of the integral system, the times that can be optimized through this and its respective cost have been calculated, either in energy and/or man-hours, as well as the necessary considerations for its implementation in another environment type. Thus, the main advantages of the system have been found to be the automation of access to the environments through the NFC identification of the teacher or authorized users, simultaneously generating an automatic record of the same and linking the activity of the laboratory with the enabling electrical power outlets and activating lights, projectors and computers to optimize energy consumption in the environment and generating accurate data on its use, data that will be complemented by the other part of the system, which records information on the equipment and materials used During the class session, this second stage of the system has the laboratory supervisor as administrator, who can also use it to record the entry of new equipment, removal and maintenance of these, thus feeding a database of both assets, as well as records of use in order to allow related areas to access this updated information in time. real po without the need to make a new information request.
Formative Feedback and Collaborative Work in the Meaningful Learning of Basic Science Items
This research describes the experience of the application of a formative feedback plan in students of the IV semester of the subject of Mathematical Analysis II of the Academic School of Civil Engineering of the National Intercultural University of Quillabamba - Peru (UNIQ ), students of the IV semester of the Differential Equations subject of the Academic School of Electrical Engineering of the National University San Antonio Abad of Cusco-Peru (UNSAAC), students of the II semester of the Calculus II subject of the Academic School of Engineering Environment of the National University of Moquegua José Carlos Mariátegui-Perú (UNAM), students of the III semester of Statistics and Probability of Civil Engineering of the National University Micaela Bastidas of Apurímac-Perú (UNAMBA), students of the IV semester of the Physics subject I of the Academic School of Civil Engineering of the National Intercultural University of Quillabamba - Peru ( UNIQ) and in students of the V semester of the subject of Electrical Circuits I of the Mechatronic Engineering study program of the Catholic University of Santa María Arequipa-Perú (UCSM). At first, a diagnostic evaluation of the learning levels necessary for the corresponding curricular readjustment was put into practice. In all cases, the results were negative and of a very low level compared to the results obtained in the same subjects before social isolation as a result of the COVID-19 pandemic, making it necessary to implement a dosed feedback plan and that mitigates the negative effects of virtual education and strengthens their previous knowledge to build their new learning in a significant way. This work was carried out in the 2022-II semester, immediately after having resumed face-to-face academic activities and prior coordination between teachers and students of the times and work spaces outside the hours determined for the development of each subject. During the execution of the plan, the permanent evaluation was applied through an observation sheet that allowed timely and effective feedback, managing to meet the learning needs of each student. After the application, an exit evaluation was carried out considering all the topics covered. Unlike what was previously described, this time the results were quantitatively and qualitatively satisfactory. Additionally, having implemented this plan in different universities provides relevant information on the goodness of face-to-face education compared to virtual education, specifically, in subjects with basic science topics, taking into account that during the period of social isolation, tools were used. technologies to mediate learning whose results were not encouraging. After this experience, he wishes to continue strengthening a feedback system that is not reduced to the elementary and descriptive favoring the reflection that allows quality autonomous learning as well as self-determination by future engineering professionals. In the same way, the collegiate work between university professors must be strengthened and recognized institutionally.
Management for the Supply Chain to Increase the Export of Grapes – Perú
The objective is to increase the export level of the grapes of an agro-export company located in Ica-Peru, based on the optimization of the supply chain management, which takes as a principle the processes of supply, productivity and distribution, so that It seeks to achieve greater export efficiency, reducing its costs and quickly adapting procedures in the logistics area. The method used has a descriptive scope based on a mixed perspective and a non-experimental design, of applied typology. The instrument used in the data collection was the interview with the administrative staff of the logistics area, identifying the problems based on the dimensions that the supply chain covers in provisions, organization and planning, which generates an increase in time and costs. costs at the end of the chain in productivity. The results identify that the company does not take advantage of 100%, meaning a high growth potential that is based on the positioning of the grape in the national market and the progressive demand in the international arena. In the aspect of distribution and supply, there is no schedule for the dispatch that is used to guide and avoid delays in the delivery of orders. concluding that an adequate management of the supply chain in a grape agro-export company will favor the optimization of the processes that indirectly increase the periodic export of the product. The disorganization and insufficiencies in the organization limit from its conformation a greater expansion in the market, so by achieving greater effectiveness and efficiency. The development of production processes and export activity is intended.
Entrepreneurial Intention Towards F Commerce in Southern Bolivia: A Study Via Structural Equations
The intention of young people to undertake can be important to contribute to the development of the economy of a country, in this sense, the objective of the present investigation has been to determine the relationships of the latent variables that influence the entrepreneurial intention towards f commerce. , for which a quantitative methodology was applied via PLS-SEM structural equations. A questionnaire was applied to 100 young people between the ages of 16 and 29 who live in the southern region of Bolivia. The results explain that the intention to form a company using Facebook is explained by 65.2%, being the variable that most influences the attitude, followed by the variable subjective norm and in third place the behavioral control. The main contribution of the research is the identification of the main variables that influence the intention to undertake f commerce, generating useful information to formulate strategies either from the public or private sphere to promote the creation or strengthening of businesses using the social network facebook
Optimization of Solid Waste Collection Routes Using Graph Theory and Linear Program
The research presents a methodology where the application of the Chinese postman problem, which is based on the theory of weighted Eulerian graphs, and the problem of coverage of sets of binary integer linear program was combined, as an alternative to model non-Eulerian routes, with the aim of optimizing the design of the urban solid waste collection routes, of the municipality of the district of Cajamarca, located in the province and department of the same name in Peru. The scope of both problems allowed to generate an alternative that facilitated the optimal design of these routes, which in practice is very complex due to the range of variables that affect this process, such as the increase in population density and the volume of waste generation, urban planning, the capacity of available resources, among others, managing to reduce the total average travel distance per route by 66.6%, which demonstrates the need to be flexible when modeling the routes, generating the necessary adaptations of the technical aspects to meet the particularities of reality.
Development of Intelligent Systems in 5.0 Supply Chains using Unmanned Aerial Vehicles
This project is the result of the current biological crisis where it was required to deliver medical supplies to over 15 hospitals in the metropolitan area of Mexico City. During its development, it had the support of Amazon due to its award-winning participation within the health category in the national event called "UNAM - AWS Hackathon" This allowed us to learn more tools for the optimal implementation of artificial intelligence and machine learning algorithms. The project design was to apply digital transformation to deliver supplies anywhere in the world, no matter if an implication exists, such as a natural disaster or a public health emergency. Our objective is to apply digital solutions by implementing Intelligent Systems in the supply chain to cover the demand for a product, doing the delivery process through pilotless aerial vehicles, optimizing delivery times and reducing transportation costs as well as reducing the environmental impact that the process entails. To achieve this objective, we implement software tools so that the vehicle travels safely, safeguarding the integrity of the cargo. We determined Checkpoints in strategic geographical points, complying with the health security and control needs that arise, checkpoints automatically implemented using K-Nearest Neighbors (machine learning model used since due to its characteristics and behaviour is the learning model that best fits our physical model since the control variables such as distances allow us to find the closest point), creating the algorithm for any city in the world. In a different way. We use Amazon Web Services (AWS) because they are easy-to-implement tools and have enough reach globally however, it is possible to implement it on any other cloud service platform (such as Google Cloud Platform, Microsoft Azure, etcetera). These services have a stable infrastructure and provide us with all the software tools we need to fulfill our objective. The results from the intelligent system showed us that its implementation within pilotless aerial vehicles (quadcopter drone) is viable and managing to satisfy all the needs raised at the beginning of the project due to financial limitations must run out through a simulator.
Comparison of compressive stresses in masonry pieces and prisms with the CHOC of Honduras
In the research below, an analysis is presented that has the different prisms and pieces of masonry to the compression efforts and axial compression. In order to compare the relationship between them. The process was carried out selecting different samples of both elements. These were taken to a laboratory where the different compressive stress and axial compression tests were performed. The result of the graphs shows that the stresses found in the piece-masonry are greater than those shown by the CHOC-08 equations. It is concluded that the materials used in Honduras for the prism are oversized, so it is recommended to continue carrying out tests to validate the data of the Honduran construction code.
Gini Index in the Construction Industry the case study of Chile
This paper shows the results of the estimation of the Gini index from workers in the Chilean construction industry. As known, this coefficient is a measure of statistical dispersion intended to represent the income inequality within a social group. The Organization for Economic Cooperation and Development (OECD), the World Bank, and the United Nations Development Program (UNDP) have calculated this index for a significant number of countries in order to classify them according to their level of inequality, where this study may help expand the reach of this type of analyses to other economic sectors. Thus, in this research the Gini index for workers of the Chilean construction industry was calculated for each geographical region in Chile, with the purpose of knowing the different economic conditions among the construction workers in the different regions of Chile, in terms of the workers’ salary inequality, and along with it, to complement the limited studies in this regard. To estimate the Gini index, it was necessary to collect the data available in Chilean institutions. The results showed that there are no significant differences in terms of inequality when the Gini index is calculated for homogeneous groups of construction workers however, when the analysis considers workers with different academic backgrounds (with and without professional degrees) important inequality levels appear.
Design and Simulation of an Instrumentation and Control System for the Dosing of Hydroponic Vegetable Crops
This paper presents the design of an instrumentation and control system for the dosing of nutrients in a hydroponic vegetable crop. For this crop, a mixture of nitrogen, calcium, potassium, phosphorus, sulfur, magnesium and water is necessary to ensure that the vegetables receive the concentration of nutrients required for their development. For this purpose, an instrumentation system was designed that senses the pH of the nutrient mixture and the ambient temperature, as well as doses the amount of each nutrient according to the type of vegetable. By default, a dosage was programmed to feed chard, spinach, curly lettuce and purple lettuce. The design suggests the use of a programmable Arduino Uno board, which communicates with LabVIEW® for interaction with the user, monitoring and data storage in a computer. The developed project seeks to have a system that allows the reduction of harvesting times and the improvement of product quality, through the monitoring of external variables and the amount of nutrients supplied to the vegetables.
Artificial Vision Model Based on Deep Learning to Prevent Thefts in Real Estate
Artificial intelligence has become an increasingly present concept today. Terms such as Machine Learning or Deep Learning are frequently used in the development of technological projects. These can generate an impact in the solution of various social problems that, unfortunately, are experienced every day in many countries worldwide. One of them is citizen security, a problem that has been a setback, especially in less developed countries. Citizen insecurity has expanded so much that, over the years, large numbers of thefts have even been observed in people's real estate properties. However, as mentioned above, it is currently possible to develop technological models that can support the arrest of these criminal acts. Artificial vision is one of the many scientific disciplines of artificial intelligence, and with it it is possible to carry out a security project with the ability to detect faces and identify them as users known as possible suspects.
Evaluation of the impact of the main parameters affecting energy performance in bifacial photovoltaic modules in a tropical location.
Currently, photovoltaic solar energy faces the challenge of reducing the levelized cost of energy (LCOE) to compete with conventional energy sources and given the growth that bifacial technology has had in recent years and the complexity associated with estimating energy performance with respect to its monofacial counterpart. This research focuses on evaluating and comparing the energy performance of bifacial technology with respect to monofacial technology according to 4 main parameters of affectation: 1) inclination, 2) pitch, 3) albedo and 4) height from the ground, in a tropical location, using the specialized software PVsyst. The results show that the bifacial energy gain can vary according to the parameter of affectation: between 2.4% and 19.2% depending on the albedo up to 7.44% depending on the distance between sheds or 6.1% for their height from the ground, and even not generate a bifacial gain by modifying the angle of inclination of bifacial photovoltaic modules.
Post-press management proposal through theory of engineering methods to increase the productivity of the box line, Trujillo 2022.
The present investigation was born from the need to increase the productivity of the box production line using engineering methods and tools, such as study of methods, study of times and line balance. The research approach was quantitative, with a non-applied scope, its level was descriptive-propositive and its design was non-experimental-transversal. The first thing to do was to determinate the productivity, prior to the proposal, of the stations, to later record the data, carry out studies of methods, times and line balancing. Subsequently, the improvement proposal was developed with the determination of roles, standard times and a work method, standardization of processes and the productivity of the proposal for each station was determined, calculating the respective financial evaluation. Finally, it was evidenced that the management proposal through the methods engineering theory in each station does generate a positive influence. In addition, it was verified that this proposal would be economically and financially viable, obtaining an IRR of 90.51%, a NPV of S/. 50,448.36 and a B/C that represents for each sol invested S/4.39 of profit
Influence of Green marketing on the brand image of the company Aguafiel. Trujillo, 2022
The objective of this research work is to determine the influence of Green Marketing on the brand image of the company AguaFiel Trujillo in the period 2022, since it has been seen that companies have currently chosen to implement Green Marketing strategies and have obtained good results. Definitely, Green Marketing is a strategy that many entrepreneurs have currently put into practice, therefore, most of their products are made of biodegradable materials that contribute to reducing pollution in the environment, creating awareness among consumers in a way who are willing to pay more knowing that they are not only buying but also contributing to an improvement. This research of applied type of non-experimental design with correlational cut had as object of study those people who have consumed the AguaFiel brand, the sample was 165 people. As a technique for data collection, a survey was carried out, with which the result was that there is a significant positive relationship in moderate intensity between the variables of the present study, with an influence of 51.3% of Green Marketing on the brand image, based on to R squared = 0.536 obtained in the coefficient of determination test. As a conclusion, it was obtained that the influence that Green Marketing has on the brand image of the AguaFiel Company in the year 2022 is 51.3% with a significant influence of 118,183, for which it is proposed to improve the presentation and design of the product, highlighting the green label on the package.
Gender Equity and Job Satisfaction in a Restaurant in the city of Trujillo, 2022
Abstract– The objective of the research was to determine the relationship of gender equity with job satisfaction in the employees of the El Rancho de Jara Beef restaurant, Trujillo 2022. The research was developed with a non-experimental design, quantitative approach, correlational scope, working with a questionnaire prepared with a likert scale, whose level of reliability for the gender equity variable is 0.933 and job satisfaction of 0.929. The correlation of both variables amounts to 0.853 in the Rho Spearman.
Trends of Digital Games in Engineering Learning: A Science Mapping Analysis
The objective of this study was to review the literature on digital game-based learning (DG) in engineering education for the period 2002-2022. The process for the elaboration of the bibliometric study on DG includes a scientific mapping approach using the SciMAT analysis tool. The results indicate that the overlay map presents a stability index of 65%, showing a consistent thematic development. In the period 2002-2016, the topics captured with SciMAT involve serious games, learning games, simulation games and game-based learning. While for the period 2017-2022 the most prominent topics on the evolution map are students’ performance, online learning environment, video game, simulation games, and educational video games. In the context of engineering, simulations games can potentially be used to develop and analyze difficult concepts in different subjects. These applications relate to dangerous or expensive environments that would otherwise have been inaccessible for classroom use. However, to sustain progress in the use of DG learning in engineering education, more studies on its effectiveness must be carried out. Therefore, promoting the development of interdisciplinary applications involving students from different engineering specialties could contribute to the development and application of DG in this important area of learning.
Design and Control of Transfemoral Prosthesis Prototype with Magneto-Rheological Damper
There is the possibility of being born without a lower or upper limb, or that this also arises through a surgical act. When facing a patient who requires an amputation, it is necessary to think not only about saving life but also about preserving good possibilities of independence and social reintegration. Lower limb prostheses only fulfill the function of replacing the limb and adding a tool to provide better support, which does not help to create a normal movement of the joints, nor do they present a type of cushioning that helps in impact against the ground, causing harm and discomfort. This research aims to design, characterize, construct, and control a transfemoral prosthesis prototype with magneto-rheological damper to determine its functionality for aiding patients in Honduras. It was possible to design and control a transfemoral prosthesis prototype. Equally, the material (Aluminum) chosen, and the design that was presented meets the appropriate characteristics to resist a weight of an average person from Honduras of 80 kg, since a force of 400 N was applied in each of the parts.
Direct and Inverse Cinematic Resolution Calculation using Denavit-Hartenberg Algorithm and Geometric Method for Robot with 5 DOF
This manuscript aims to shine light on the analysis done for the direct and inverse kinematics of a 5 DOF robot. Where the main objective is to add a 5th degree of freedom to a traditional SCARA robot due to the extent of the study, it was fitting to cover in a more in-depth manner the control system separately to continue to add to the state of the art. It was possible to solve the direct and inverse kinematics of a SCARA robot of 5 DOF using DenavitHartenberg algorithm and geometric method, respectively. The Denavit-Hartenberg algorithm solves kinematics based on homogenous transformation matrices to pass through one system to another using the coordinates systems of every joint and link. Geometric method allows to solve complex kinematics in a simplified way by considering just the coordinates that provides finite solutions. A successful control system for a SCARA of 5 DOF could be built using these two methods.
Relationship model of the agents of the coffee value chain in Honduras: the effect of rust
he coffee activity is possible thanks to the work of a large number of people involved in the harvest, purchase, transportation, bean processing, roasting, grinding and packaging, distribution to the client, export and import. Therefore, the objective of this research is to model the effect of rust on the agents of the coffee value chain in the different regions of Honduras. In order to analyze the coffee production system based on the agents of the network, three steps are proposed. The first step is the analysis of the network using pajek to subsequently extract the network indicators based on the data provided by IHCAFE, the second step is the determination of ratios of producers in relation to the different agents involved in the value chain. Finally, a system of linear regression equations that model the system is determined using NetLogo. A simulation model based on linear regression was used to show the behavior of the copan sector. In this sector it was observed that the network indicators improve for each agent as they decrease, managing to estimate the number of agents according to the effect of rust as a future projection, maintaining exporters and cooperatives and reducing intermediaries. Finally, it is concluded that the agents of the coffee value chain, the producers, are the most relevant agents since they have greater proximity and intermediaries in the network. On the other hand, agents such as intermediaries and cooperatives can be dispensable from the value chain because they grow according to the coffee production in a region and do not have a significant correlation with the production of quintals of coffee.
Identification by MALDI-TOF MS of bacterial microorganisms associated with dental caries
It is essential to understand bacterial succession during the development of dental caries and determine the microorganisms related to this disease. This work aimed to identify bacteria associated with cariogenic pieces and carry out an antibiogram assay. First, we isolated bacterial isolates using MALDI TOF-MS and species-specific PCR techniques. Next, we implemented an antibiogram test to evaluate antimicrobial susceptibility events in Streptococcus oralis, Staphylococcus epidermidis, and Bacillus cereus. Our results showed that the bacterial species frequently associated with cariogenic processes was S. oralis. The antibiogram analysis determined that the most effective antibiotic was streptomycin, with a minimal significant difference of 0.52. Furthermore, the phylogenetic reconstruction allowed confirming the identity of the Colombian isolates that were sequenced, corresponding to the species S. oralis. Finally, we describe the complex etiology of dental caries where not only one bacterial agent is related to the development of this pathology. It is a complex of species.
Influence of Subsurface Flow Recharge in Fractured Massifs – Case Landslide 1 – Huancavelica - Perú
Mass landslides occur mainly due to water saturation in the different soil strata of a slope, being the rainy season (December-April) the time when they are activated and produce more landslides. Such is the case of study of the present article which is referred to the so-called landslide 1 located in the Huancavelica region - Peru. In addition, thanks to the geotechnical and geophysical studies it was determined that the slope has a fractured rocky basement, this causes the water to infiltrate and flow faster through the fractures, causing a rapid saturation in the lower part (discharge zone), generating an increase in pore pressure causing the stability condition to be reduced and the slope to fail. In order to reduce the interstitial water level, horizontal drains have been implemented, whose function will be to channel and evacuate the flow of infiltrated water within the geological masses. For this purpose, modeling was carried out in SLIDE software. The results obtained showed that the slope improves its stability with the inclusion of horizontal drains, having a safety value of 1.305 without drains and 1.512 with horizontal drains. We can conclude that the technique of including horizontal drains to improve slope stability is efficient for establishing landslide prevention and control measures.
Online assessment and proctored testing through a biometric system. Experiences and challenges of university teachers
Currently, online assessments are booming. However, not everything is perfect. It is known that not having the possibility to supervise them has created a dilemma for teachers. The research describes university teacher’s experiences with virtual assessments, therefore, investigating biometric systems used as a remote proctoring system that verifies and monitors the student body while taking online exams is important for improving educational processes. The research with a qualitative approach interviewed ten university professors with more than five years of experience. A duly validated interview guide was prepared, meeting the quality criteria, in order to deepen the teachers' answers. The quality criteria included credibility, transferability, reliability-confirmability and reflexibility. A mandatory inclusion criterion was to have experience in the use of systems such as Procterizer during online evaluations. The interview guide was distributed in two categories: online assessment and proctored tests. Likewise, a group discussion was held with five education professionals, in such a way that new categories were generated the results indicate that the student body develops multiple dishonest activities, plagiarism, examination with the help of third parties, payment to relatives, strangers, or group mates, who try to cheat to pass a course that they consider demanding. In conclusion, teachers have turned to new ways of controlling online evaluations to reduce the levels of plagiarism and generate the development of competencies in students
Application of concrete canvas to optimize channel construction processes
The investigation that was carried out to optimize the construction system of the irrigation canals. The implementation of the concrete canvas as the main material allowed to improve the efficiency in construction time and reduce the environmental impact compared to traditional concrete. The numerical calculations and the use of specialized software allowed to obtain optimal results in the design and lining of the channel. It is interesting to note that a remarkable efficiency was achieved in an 800m2 area in just 40 days with a crew of 12 workers, which demonstrates the effectiveness of the implementation of the concrete canvas in the construction process of the irrigation canals. In summary, the results obtained in the investigation suggest that the concrete canvas is a viable system for the construction of channels, optimizing (time and cost) construction processes.
Development of a new cellulose-based thermal insulating material
Thermally insulating a body consists of preventing heat transfer from it to the outside and thus avoiding energy losses. The same principle can also be applied to enclosures in order to maintain a comfortable temperature inside the enclosure, which can be achieved by means of thermal insulation. However, the conventional thermal insulators used are often expensive and their production generates waste that pollutes the environment. For this reason, other alternatives have been sought, such as the manufacture of insulators from discarded organic materials, whose purpose is not only to preserve the temperature of the space, but also to have the necessary resistance so that it can be included in the infrastructure of a building. In this research, we have experimented the elaboration of these from newspaper and rice husks as a source of cellulose borax and glue. The samples obtained were tested for thermal conductivity, tension and compression tests, and it was found that they are effective in terms of thermal insulation, and also able to withstand a compressive stress of 21.23 (MPa) and a tensile stress of 1.73 (MPa). Based on these results, it can be deduced that recycled materials are a reliable option for the production of these components being an effective option for conserving and maintaining thermal energy in an enclosed space. Subsequently, it should be evaluated whether cellulose maintains both its strength and the properties studied in the future.
Use of the online platform and its relationship with academic stress in Jaen high school students (Cajamarca, Peru)
The use of the online platform for educational services is essential for the achievement of academic objectives and goals, so that in the face of connectivity problems and lack of skills, these become a constraint to the teaching and learning process, causing stress, anxiety, anguish and other emotional problems in the student. The objective of this research is to determine the relationship between the use of the online platform and academic stress in secondary school students in Jaen (Cajamarca, Peru). The research has a quantitative approach, correlational level, non-experimental and cross-sectional design. The population consisted of a total of 120 high school students. Two questionnaires were used: one measuring the use of the online platform (in its three dimensions: use of didactic materials, classroom tutoring system and technological environment) and the other measuring academic stress (in its three dimensions: stressors, symptoms of stress and coping strategies). As result, we report that the use of online platform is high in 30.00% of the sample (n=120), medium in 60.83% and low in the remaining 9.17%. Similarly, academic stress is high in 30.00% of the sample, medium in 57.50% and low in the remaining 12.50%. Finally, there is significant relationship (positive and moderate) between the use of the online platform and academic stress (r=0.678).
Forecasting irrigation scheduling based on deep learning models using IoT
Potatoes are one of the staple foods in Boyacá and play an important role in family nutrition and food security in Colombia. Therefore, timely and accurate information on the irrigation of this crop is relevant in agricultural decision-making, the sustainable development of its production and the reduction of unnecessary water consumption. This study estimated the irrigation prescription of a potato crop from crop meteorological information with the support of IoT technologies to solve the problem of inefficient water dosing in the crop. Two deep learning models were developed, a One-Dimensional Convolutional Neural Network (1D-CNN) and a short-term long-term memory neural network (LSTM). Training data was collected daily from a potato crop from 2018 to 2020 using two weather stations located in the UsoChicamocha irrigation district. To predict irrigation prescriptions, deep learning architectures were trained using Python® by selecting input climatic variables measured with a subsystem of sensors installed in the crop and an actuation subsystem with control of Latch-type solenoid valves, both remotely controlled wirelessly. The algorithms were validated by calculating precision metrics such as MSE and coefficient of determination. The results showed that the LSTM model surpassed the 1D-CNN model, obtaining training and validation errors less than 0.096 and presenting greater precision in the estimation of crop irrigation, giving a coefficient of determination R2 between 0.881 and 0.919. Irrigation prediction algorithms using deep learning techniques achieved promising results and serve as a decision support tool for farmers to automatically decide when and how much water to irrigate.
REGIONALIZATION OF THE IDF CURVE FOR THE PROVINCES OF LOS RÍOS, GUAYAS AND EL ORO.
The small amount of information in the country regarding precipitation intensity parameters, generates the present research, which aims to present the analysis of the parameters k, m and n belonging to the Bernard equation for the development of Intensity, Duration and Frequency (IDF) curves, using the regionalization method with historical data from different meteorological stations located in Ecuador, specifically in the provinces of Los Rios, Guayas, El Oro and neighboring areas. Regionalization allows us to obtain data from projections based on information obtained through interpolation methods, the best known being ordinary kriging (KO) and inverse distance weighting (IDW), with which a comparison will be made to choose the one that has the highest degree of affinity with the provinces mentioned above and their meteorological data. The regionalization allows the development of the present model, which is reliable in areas where the available data is poor and the meteorological stations do not cover efficiently. The results provided by the KO method had better adjustment in the study provinces, presenting error percentages for Los Rios, Guayas 1, Guayas 2, Guayas 3 and El Oro of 0,92%, 7,64%, 14,21%, 19,83% and 4,47% for parameter k and 13,72%, 19,14%, 1,74%, 8,40% and 6,76% for parameter m respectively, being parameter n constant, it was omitted in the analysis.
Physical and Mechanical Properties of Handmade Brick with Natural Aggregate Containing Iron Particles
The objective of this research is to determine the physical and mechanical properties of artisanal brick with natural aggregate containing iron particles, 2022. The methodology used according to its purpose is considered applied, with a quantitative approach and experimental design, descriptive in scope and insofar as the study period is cross-sectional, selecting a sample of 300 bricks made with the addition of 10%, 25%, 50% and 75% of natural aggregate containing iron particles. To achieve the objective of the investigation, the physical properties of the Standard Sample (MP), of the natural aggregate containing iron particles (MH), of the samples with increases of 10%, 25%, 50% and 75% will be previously reduced. from (MH) After carrying out the soil mechanics tests, we proceeded with the elaboration of artisan bricks. Subsequently, the study units were subjected to laboratory tests to determine the physical and mechanical properties of the handmade brick made with the Standard Sample (MP) and with the addition of 10%, 25%, 50% and 75% of (MH). The results showed that the sample with an increase of 10% of MH, satisfies the requirements of the NTP-E.070 of Masonry, in terms of dimensional variation, warpage and absorption Likewise, the compressive strength in units increases by 36.40% and the compressive strength in masonry piles by 4.69%, in relation to the NTP E.70 for class 1 bricks and in relation to the standard sample, the increase was 50.80% and 53.43%.
Intelligent System for Phishing detection on web pages using Random Forest
During the last years there have been many technological problems, among them, one of those that stands out for its impact worldwide is Phishing, which is a Social Engineering technique that seeks as a benefit to illegally appropriate confidential and private information. In Peru, this problem is spreading considerably due to the lack of interest of both state and private entities in being able to make a contingency plan against this problem, and more and more citizens are affected and there is no clear statement or response from the authorities. In response to this major problem, this paper proposes the use of an intelligent system that uses a Random Forest algorithm, which is based on machine learning and can detect in time the URLs that may be malicious. The operation of the system is based mainly on the analysis of the characteristics of the URLs, which is complemented with a dataset with which the algorithm was trained, and thus give a comprehensive detail of analysis. According to the surveys made to the users of the system, a great acceptance of the intelligent system was obtained due to the precision that it has and, in this way, avoid falling in the deceptions based on phishing techniques. The results of the use of the Random Forest algorithm for this project were good, having an accuracy of 0.98 compared to 0.93 of the Decision Tree algorithms and 0.91 of Neural Networks algorithm.
Digital marketing and customer relationship management (CRM) in a cargo transport company - Peru, 2022.
The purpose of this research is to determine the relationship between digital marketing and customer relationship management in a cargo transport company Cajamarca S.A., the type of research is basic with a quantitative approach, the design is non-experimental, and whose level of research is correlational. And cross-sectional, the population and sample, were made up of 20 clients of the company The technique used in the investigation was the survey and the instrument that was applied was the online questionnaire, with a reliability according to Cronbach's Alpha of 0.814 and was validated by expert judgment. Finally, it was demonstrated that the relationship between digital marketing and customer relationship management (CRM) of the company, is direct and positive, these results were verified through the Rho Spearman coefficient, obtaining a correlation of 0.765, it presents a bilateral significance level of 0.000, which is less than 0.05, therefore, the variables are related to each other and there is a very strong positive correlation, effectively demonstrating that when digital marketing is properly managed, good customer relationship management will be obtained. Customers of the company.
Analysis of the current situation of the development of virtual reality environments for the teaching of industrial automation systems
Virtual Reality (VR) can be described as a set of technologies involved in positioning the user in an environment simulated by a computer, which allows them to interact with three-dimensional objects found in the virtual environment. Within virtual environments there are a number of tools, the main ones being VR glasses [1], accompanied by audio devices and motion sensors that provide the user with a more immersive experience. According to the perspectives developed by the authors, the industries and educational centers that implement virtual environments for teaching can have advantages in terms of personal training and in minimizing costs of implementing physical training scenarios. The analysis of different approaches to the use of VR in the development of industrial applications, through selected research, will provide the ability to broaden the spectrum of possibilities in the field of automation systems in the present and future. In the present work, a review of the existing literature is carried out from different types of perspectives and applications on the use of simulated environments and how they can be a source of learning and improvement of different activities linked to control and automation systems.
Digital Citizenship: A bibliographic Review of the Publications in Scopus from 2017 to 2022
The present study aims to describe quantitative metrics regarding the publications on digital citizenship in Scopus from 2017 to 2022.In this sense, the search was carried out consulting the words "citizenship" and "digital" in the Scopus database. Then, we proceeded to filter the studies according to the open access documents, the years of publication and the subject in the database itself, for its subsequent review of the literature. At the end of the review, the last filter was carried out by exclusion criteria, leaving 25 studies as a final result. With the support of the R language and Bibliometrix, it was highlighted that in 2019 there were 6 publications, being the highest rate of scientific production. Similarly, it was recorded that Spain is the country with the most studies published in relation to digital citizenship. The most frequent keywords in the studies carried out on this subject were: digital citizenship, citizenship, education, digital literacy, politics and the Internet. The resulting metrics show the existence of a small number of studies on the subject in Latin America, so there is a need to increase the number of publications for a greater understanding and in-depth analysis of this subject. In addition, it was found that a thematic niche for future research lies in digital citizenship with regard to politics, democracy, and social behavior. Finally, it was possible to conclude that digital citizenship plays a very important role today, because it implies the development of a critical, ethical and reflective attitude to be able to use responsibly the advantages and risks involved in the use and adaptation of tools of information and communication technologies.
Student Projects in the Integral Formation of Engineering Students
The growth of the Project Management Program (PGP) at the School of Engineering is analyzed in terms of enrolled population, achievements, and financial support from 2012 to 2019. The data is extracted from internal records and documents from the School of Engineering's Wellbeing Office and a qualitative perspective from the program coordinator at the School of Engineering is provided during this period. The results show a significant expansion of PGP in terms of funding and students enrolled in the program, which has allowed them to develop soft skills, leadership, teamwork, and project management knowledge. In general, the study highlights the success and importance of the student group program at the National University of Colombia's School of Engineering in Bogotá and its positive impact on student development. The PGP program was created in 2010 with Agreement 007 of 2010 from the Higher University Council (CSU) [1], and Resolution 003 of 2010 from the University Wellbeing Council "Regulating student programs of the Integral Companion Area of the University Wellbeing System at the Universidad Nacional de Colombia" [2]. Student groups arise as a need to develop teamwork, leadership, and project management in graduates of the Universidad Nacional de Colombia. Starting from 2018, the University Wellbeing Council structured, organized, and standardized the program through Agreement 020 of 2018 making a series of changes aimed at long-term growth. Student projects are defined in Agreement 020 of 2018, guide of the Project Management Program of the Integral Companion Area of the University Wellbeing System of the Universidad Nacional de Colombia as "initiatives proposed and developed by student work groups that respond to the institutional goals and principles and established guidelines" [3]. These projects provide students with a unique opportunity to apply their skills and knowledge while contributing to the university's mission and vision. The work aims to showcase the growth of the student group program in the Engineering Faculty by associating characteristics such as financial support and remarkable achievements between 2012 and 2019. Concluding with a qualitative analysis from the perspective of the program promoter in the faculty. This growth review of the program is conducted using records and internal documents from the Well- Being Direction of the Engineering Faculty.
Impact of the Implementation of Environmental Management Systems in Agribusiness Worldwide. A Systematic Review
The main objective of this research was to determine the most relevant impact on the implementation of Environmental Management Systems (EMS) in agribusiness worldwide according to the most recent published research work. For this, the methodology of systematic literature review was used, considering IOP Science, Proquest and Scopus databases, and information search strategies under inclusion and exclusion criteria. The results obtained were 38 articles, in which the impacts derived from the application of environmental management systems in agro-industrial activity were evidenced, identifying economic, environmental, and social impacts and published research by country, among which Indonesia, Brazil, Colombia and Greece stand out. It is concluded that the most relevant impact in the environmental field was the reduction and control of emissions, effluents, waste, as well as the reduction of the use of agrochemicals including pesticides and fertilizers in the economic field, the increase in revenues was reported due to the opening of global markets and an increase in product sales prices, reducing energy consumption and reducing waste losses, improving productivity, as well as reducing expenses due to the application of sanctions due to environmental accidents, waste treatment in the social sphere, it is reported that recycling practices are adopted, awareness and improvement of the knowledge and skills of stakeholders for environmental care and protection.
Towards Graph Theoretical Modelling Experimental prototypes to support your Cyber-security investment capabilities and cost for Jamaican firms
This research paper posits the use of graph theoretical models to support the data visualization required for monitoring and measuring cyber-security investments for digital firms provided with sufficient capabilities assumed to manage the cost of such investments. We present as vertices and edges within a graph that the total cost path function between vertices/nodes of a graph will be unique given that the total cost path value is dependent on the goal cost (i.e. the cost to enable the working environment) and the heuristic cost (i.e. the cost of an attack on the same working environment). This working environment are all represented as graph path cost and applies the principle of the travelling salesman problem within graph theory. Graph modeling supports the fact that we can use the nodes as points to track/determine the behavior of an investment as a function of time (t).We develop a conceptual prototype of our graph model and provide an evaluation of same based on the fundamentals from computational graph theory. This work represents the first of its kind in our region, where we use the graphs to support data visualization for the Chief Executive officers within a digital firm that need to appropriately understand his/her cyber-security investment spend
Ex post evaluation system of Social Technological Development Projects in Argentina
The Social Technological Development Project (PDTS) is an instrument of the Argentine National Scientific and Technological System for the recognition and assessment of technological development activities with a social impact. As established by Law 25,467 on Science, Technology and Innovation (2001), the evaluation of scientific and technological activity constitutes a permanent obligation of the State. Despite this obligation, the regulations and instruments defined to date do not advance guidelines for the ex post evaluation of PDTS and there are no official ad hoc instruments defined for the evaluation of scientific-technological researchers involved in this type of project. This article presents a proposal for an ex post PDTS Evaluation System developed taking into account the particular characteristics of the instrument, its purposes, actors and expectations (aspects that constitute the local theory that supports the System) and the guidelines established by law. The System is made up of a series of dimensions and indicators that must be weighed in order to conclude on: (a) the PDTS status of a project (technical purpose) and (b) the degree of satisfaction of its purpose (political purpose).
Análisis del Contenido de Polifenoles y Capacidad Antioxidante en Bebida Hard Seltzer de Mango Tommy Atkins
Este estudio tuvo como objetivo analizar la capacidad antioxidante y el contenido de polifenoles de la bebida hard seltzer elaborada con mangos Tommy Atkins recolectados en el cantón Santa Lucia de la provincia del Guayas-Ecuador. Para medir la capacidad antioxidante y la concentración de polifenoles se utilizó el método del Poder Antioxidante Reductor Férrico (FRAP) y el reactivo de Folin-Ciocalteu, respectivamente. Los resultados mostraron que la bebida tiene una alta actividad antioxidante de 3,964 μg/mL y un alto contenido de polifenoles de 1,558 mg/mL. Este estudio concluyó que la bebida Hard Seltzer a base de mango de Tommy Atkins es una opción saludable para los consumidores, ya que contiene altos niveles de antioxidantes y polifenoles con efectos beneficiosos para la salud humana.
COMPRESSION STRENGTH OF STRUCTURAL LIGHTWEIGHT CONCRETE, WHEN REPLACING THE COARSE AGGREGATE BY SATURATED AND DRY TRACHITE
The research exposes the results of the study carried out to determine the compressive strength of a structural lightweight concrete, by replacing the coarse aggregate with saturated and dry trachyte. The evaluation was carried out by comparing the standard sample that contains 20% expansive clay as part of the cement, with the (4) treatments that contain expanded clay and a percentage of replacement of the coarse aggregate by trachyte. The tests consisted of making concrete specimens with f'c= 210 kg/cm², to later evaluate the compressive strength at the age of 7, 14 and 28 days and the volumetric weight in its fresh and hardened state. From the results, it was concluded that when the coarse aggregate is replaced by 3% and 5% saturated and dry trachyte, the compressive strength increases by 1.3%, 6.5%, 2.6% and 6.2%, respectively. And that the influence on the volumetric weight by replacing the coarse aggregate with 3% and 5% saturated trachyte increases by 1.48% and 1.79% respectively, while with the replacement of 3% and 5% dry trachyte, the volumetric weight decreases in 0.84% ​​and 0.83% respectively
Automatización del proceso de transformación de formatos de publicaciones en revistas científicas a través de script en Phyton
Scientific disclosure and diffusion is the way to make society and other scientists aware of the research results and the generation of new knowledge. Over the last few years, scientific journals in digital format have become the most widely used medium to demonstrate these results, but mentioning whether we are going to publish or consult a journal is necessary to analyze some aspects of them such as: their presentation, form of distribution, quality of its content and impact of the magazine. Although all these elements are of interest, the form of distribution is of great relevance since it is linked to the visibility of the journal, if it is not found, it is not read or cited, but without the publication formats they are not diverse, neither We will be able to improve the digital reach of those who use this content. According to data from the Scholastica report, a paid web platform that includes more than 900 publishers of academic journals, the most used formats are pdf and html. In some studies carried out in Central America, specifically Costa Rica and Panama, the formats of scientific journals used are pdf, html, ePub, xml-jats, audio and Flipbook. Of the 185 journals evaluated, only 50% use two formats and barely 15% use more than three formats, the most common being html and pdf. However, the limitation is not only the use of software such as MS Word to transform pdf to html due to the limitations, but according to the editors they do not use other formats because they are unaware of the software used for this process. In the case of Panamanian journals, of 30 journals evaluated, 100% used pdf, only six used html, and only four journals used more than three formats, so we can say that there is a deficiency in the number of formats and probably in the time that the transformation process may take publishers. The objective of this work is to generate a script using Python as programming language to automate the process of transforming scientific article formats in docx, to other formats such as pdf, html, ePub, txt and audio, minimizing the use of software and reducing the processing time of these documents. In the tests carried out with the script, it was necessary to generate document character style formats to achieve good results, where it was not only possible to transform 24 articles from two Panamanian magazines into the five formats, but the transformation time was 15 minutes compared to the 15 hours it took publishers for this transformation.
Time Study Method Implementation to Increase the Labor Productivity of the Picking Process in a Logistics Operator
The present research work is developed with the purpose to determine the influence that the time study has on the improvement of labor productivity in the picking process in a logistic operator, using a quantitative research. Likewise, a convenience sampling was developed, having a total population of 96,822 items collected in a supermarket in Lima-Perú, there was a sample of 13,049 items during the period of July and September 2021. Finally, after the implementation, the labor productivity during the picking process reach the expected daily ratio of 50 items/HH, allowing the company to reduce the overtime generated by pickings not carried out, likewise, the economic analysis gives us a NPV of S/ 12,030.75, an IRR of 85.57% and a Benefit-cost of 1.20, allowing the viability of the project.
Content Marketing Strategies in Sales Management: A Case Study in a Botica de Trujillo – Peru
The present research applied with a quantitative approach, with a pre-experimental design, had the purpose of determining the influence of the implementation of content marketing strategies in the sales management of the Botica Salud Farma of Trujillo in 2022, for which it was used an observation sheet, which went through a reliability process through the sofware SPSS ver. 25. To measure the level of productivity, sales growth and sales effectiveness, values before and after the implementation of content marketing strategies, for which the methodology proposed by Monacchi was used as a basis: research, plan, design, disseminate and evaluate the same one that was executed during the months of October and November, 2022 making a comparison with previous months that were May and June the main results of the sales management indicators, an increase in the level of productivity was detected by 5 %, sales growth of 213% and sales effectiveness of 7%. It is concluded that the influence of the implementation of content marketing strategies was reflected in only one indicator of the sales management of Botica Salud Farma.
Environmental Management for the Recovery of the Sanitary Quality of the Seaside Resorts of the La Libertad Region
The present investigation allowed us to describe the problem that can be seen along the entire Peruvian coast, and specifically, the coast of the La Libertad region, by determining the sanitary quality of the spas in this area using the database provided. by the Healthy Summer program of the Peruvian State Health Sector. A comparative database was used as a tool for the collection, organization and analysis of information, to later be reflected in tables where the criteria of microbiological quality, cleaning quality and presence of hygienic services are detailed, and their subsequent classification in the years 2018 and 2019 In addition, guidelines for environmental management focused on the recovery of spas are formulated. Obtaining as a result that the classification of the spas on the coast of La Libertad is Unhealthy during the years 2018 and 2019, and its approach to guidelines based on activities related to the recovery of the sanitary quality of the spas and the involvement of the users of these for their preservation.
IoT Machinery Monitoring: An elective course to promote Industry 4.0 in the mechanical engineering curriculum
This paper describes a new elective course that was created to start promoting Industry 4.0 skills in the mechanical engineering (ME) curriculum. The course is titled “IoT Machinery Monitoring” and was successfully offered in the Fall of 2022. It was created jointly with an engineer from industry that is currently implementing the Internet of Things (IoT) to conduct condition monitoring and predictive maintenance in manufacturing plants in North, South, and Central America while monitoring remotely from their Puerto Rico office. This course is an example of how to incrementally introduce Industry 4.0 into the ME curriculum, starting as an elective, and then observing and analyzing student response to determine how to best implement it as required content in the curriculum. The paper discusses possibilities on how to conduct this transition. In addition, it discusses the creation of the course, its content, exercises, and student response in its first offering. The paper may be of interest to faculty who are considering options on how to implement Industry 4.0 in their programs.
Psychrobacter sp: perchlorate reducing bacteria, isolated from marine sediments from Margarita Bay, Antarctica.
Perchlorate (ClO4-) is an ion that occurs naturally in Antarctica, it is considered an emerging pollutant because it is a powerful endocrine disruptor that affects the functioning of the thyroid gland and the growth and development of humans and biota. The objective of this study was to characterize salt-tolerant bacteria that reduce (ClO4-) from marine sediments of Bahía Margarita, Antarctica, collected in the V Colombian Scientific Expedition to Antarctica "Almirante Tono" in 2019. The methodology used included three stages: [1] Isolation of the bacteria: for which broth and LB agar modified with seawater were used [2] Morphological and biochemical characterization of the isolated strains: through Gram staining, tests for catalase, oxidase and BBL Crystal [3] Susceptibility tests (NaCl and ClO4-) and ClO4- reduction test using selective electrode. The bacterial isolates grew at 10 °C for 7 days, tolerated NaCl concentrations up to 20% v/v and (ClO4-) concentrations up to 10,000 mg/L with pH variations between 6.5 to 12.0. This contaminant was reduced by the isolated strains in percentages between 18% and 41%. The morphological and biochemical characterization of the isolated strains indicated that they were related to the genus Psychrobacter. In conclusion, salt-tolerant bacteria isolated from marine sediments in Margarita Bay, Antarctica are promising resources for bioremediation of (ClO4-) pollution in ecosystems.
Estimation of Photovoltaic Hosting Capacity by Spatial Dependence on Adhesion of Consumers
Photovoltaic (PV) hosting capacity studies usually consider uniform probability distribution to install PV by consumers. The history of PV installation in urban areas of several cities shows that the adhesion of PV in low-voltage (LV) networks has a spatial influence, i.e., the inhabitants' decision to install a PV system is influenced by their neighbors. This paper presents a novel methodology to estimate PV hosting capacity (HC) by distribution transformers considering the spatial dependence on the adhesion of consumers. In the proposed method, the first law of geography is used to obtain the probabilities of installing PV by consumers considering their spatial influence. These probabilities provide the generation of diverse PV integration scenarios. The evaluation is performed using an LV feeder of a distribution company from São Paulo city in Brazil. A comparison with a uniform probability approach is also presented. Results indicate that the HC occurs at lower levels of PV penetration when the spatial dependence is considered. Therefore, the proposed method can aid distribution companies in better characterizing PV penetration scenarios in HC studies
Analysis of the ultraviolet index in the region of Puno, Peru
The work had the objective of analyzing the ultraviolet index values in the Puno region, for which it is considered a reference point in the thirteen provinces. To obtain ultraviolet index values, data from the weather station of the city of Puno for the period 2016-2021 is considered to obtain a correction equation for the data obtained from the Giovanni NASA website and thus obtain maximum daily values for the region. from Puno. Consider a theoretical model to obtain the ultraviolet index which is for clear sky conditions. The evaluation statistics used are the standard error and the linear correlation coefficient between the estimated data and values measured by the weather station. It has been concluded that it was possible to obtain ultraviolet index values for the Puno region with a reliability of 95% and an error of 0.80 for the city of Puno, obtaining very high and extremely ultraviolet index values for summer times.
Clustering Distribution Islands with DERs for Limited System Restoration
When a major outage has occurred in an area with constant disruptive storms, a coordinated decision to safely restore power in the region is critical in the recovery efforts. However, the certainty of grid status can be hard to predict, especially determining if a communication infrastructure is devastated. In this paper, characterizing the potential restoration likelihood is formulated based on a generalization of the restoration process. Such cluster of restorative methodology is proposed as a decision tool for power service restoration. The milestone captures models of transitions, probabilistic estimation, and statuses for generic power system components that are developed to establish the network behavior. Multiple test scenarios have been developed to validate the proposed methodology. Results indicate that after a catastrophic event, the proposed approach can suggest the steps for the switching sequence of the TD system during the grid recovery process based on the power monitoring devices. This approach can be integrated as a planning tool for grid planning.
Investment in infrastructure and Peruvian economic development (1997 – 2020)
The objective of the research was to determine the relationship between fixed investment in infrastructure and Peruvian economic development during the period from 1997 to 2020. To this end, the research was quantitative, correlational and of non-experimental design, using public statistical sources and the subsequent application of the non-parametric statistic Kendall's rank coefficient. The results found allow us to conclude that fixed investment in infrastructure (engineering contribution) has a strong relationship with economic development taking into account its social (GNI index), economic (PIB per capita) and humanistic (HDI) components.
Improvement of the anthocyanic extraction for the elaboration of blueberry vinegar
The consumption of foods with high contents of anthocyanins, such as blueberry (Vaccinium corymbosum), can help to prevent various diseases due to its antioxidant and anti-inflammatory capacity. Being a perishable product and with considerable non-exportable surpluses, an alternative of use and consumption would be through derivate products, for example, as vinegar. The aim of the research was to evaluate the effect of the application of sugar enrichment in the blueberry-must and application of microwave radiation on the extraction of anthocyanins in the base wine during alcoholic fermentation, as a previous stage for acetification of the vinegar. Among the main results, improvements in the alcoholic degree in the base wines were obtained through sugar enrichment, reaching increases of up to 100% respect to the control wine, while no significant effect of the application of microwave radiation in the extraction of anthocyanins was demonstrated. On the other hand, in the vinegars, reductions in the content of total monomeric anthocyanins (AMT) were obtained with respect to the base wine, up to 69%, which indicates the degradation of anthocyanins during the acetic fermentation. Based on the obtained results, the extraction of anthocyanins can be improved through sugary enrichment prior to alcoholic fermentation, allowing improvements in the anthocyanin content in the vinegar.
Implementation of the Jidoka tool in the automation of the production process of toilet tanks
The control of the operating parameters in the productive process of the ceramics industry allows for reducing process waste and increasing productivity. It can be achieved by transitioning from manual production activities to automated systems. However, this transition is overestimated in costs without a pertinent analysis of the production process's limitations through engineering tools. In this sense, the present case study evaluates the toilet tanks' manual manufacturing process. It is determined that the process presents a high volume of defective products and waits for that to limit productivity. Therefore, an automation plan focused on overcoming both limitations through using the Jidoka tool is proposed. Through the implementation of the automated production process (consisting of 5 systems), a positive transition in the production of toilet tanks is verified, and an increase in productivity of 18% is registered compared to the manual process.
Agglomerated materials based on residual leather from the footwear industry: Study of tensile absorption and shrinkage strength,
In the present investigation, leather waste from the footwear manufacturing industry was used to make polymer-bound compounds. The objective of this work was to find the most appropriate leather and polymer mixtures that achieve the best physical-mechanical properties for possible use in applications in the leather-footwear sector. For this purpose, the effect of the type of binder polymer (polyester resin (RP), polyurethane (PU) and urea-formaldehyde (UF)) and the polymer/leather mass ratio (70/30 80/20 and 90/10) on tensile strength, linear shrinkage and absorption were studied. In addition, the influence of the average leather particle size (0.840mm 2mm and 4.76mm) and the leather/PU volume ratio (70/30, 80/20 and 90/10) on the tensile strength were studied. For the process of elaboration of study specimens with constant thickness, the manual hydraulic pressing method was used using an open steel mold and 8 tons of force. From the results obtained in the agglomerates with different polymers, it was determined that the PU allows obtaining the highest values of tensile strength, achieving a value of 9.5 MPa at a vol. ratio of 90/10 PU/leather. While the 70/30 UF/leather mix achieved the lowest tensile strength with a value of 1.7 MPa. Regarding moisture absorption, the highest value of 129% was obtained for the 70/30 UF/leather combination, while the minimum absorption of 5% was presented in the 90/10 PU/leather compound. For linear contraction, the lowest levels were obtained in the 70/30 PU/leather compound, while the highest values were identified in 90/10 RP/leather agglomerates. In the case of the agglomerated compounds of leather and PU, it was determined that for the 90/10 leather/PU ratio, the tensile strength tends to increase as the particle size becomes smaller. However, for the 70/30 and 80/20 ratios, the behavior is inverse, but the highest mechanical tensile strength (6.02 MPa) was obtained in test tubes with 70/30 leather/PU and 4.76 mm particle size of recycled leather.
Phragmites australis: Anaerobic constructed wetland Fe (II) concentration Total solids and pH in AMD
In the present research work, the concentrations of Fe (II), total solids, in addition to the pH variations, were determined as a function of the retention time of real water samples from an acid drainage of a coal mining unit. abandoned, using a Batch-type anaerobic artificial wetland. The water samples were taken from the Perejil river, which is located at 3981.5 masl The acid drainage (AMD) used remained a total of 132 hours in the constructed artificial wetland the samples were taken every 12 hours Fe (II) was determined by atomic absorption the determination of total solids was carried out by gravimetric method while the pH values were made by instrumental measurement. The plant species used in the construction of the wetland was the so-called Phragmites australis (reed) From the results obtained, we can mention that the increase in the DAM retention time in the artificial wetland used decreases the initial concentrations of Fe(II) and total solids in addition to increasing the pH values of the DAM the Fe(II) removal percentages obtained after 48 hours of wetland use reached a maximum value of 98.488% in the case of total solids, the maximum removal percentage was 76.134% in 132 hours of wetland use while the pH of the DAM fluctuated between 3.2 (beginning) up to a value of 7.4 at 48 hours In addition, it was evidenced that in the case of Fe(II) at a retention time of 12 hours, the removal percentage was already 95.685% equivalent to the same number of hours, the pH of the DAM was already 6.4 Therefore, the use of the wetland should be evaluated at times greater than 12 hours.
New Testing Techniques to Evaluate the Quality of Information Visualization Implementations
The use of information visualization has significantly grown thanks to Industry 4.0, and now we can see its usage in more critical sectors. In this context, the implementation of such visualizations must adhere to higher quality standards. To ensure such quality, we present a set of tools developed from a software engineering perspective, particularly from the software verification and validation area. These visualization testing tools go from one to test interactions from the user point of view to another to test their code at run time. Since the toolset is free and open-source, we believe it can be the foundational basis for future developments to expand its functionality and application domains.
Impacto de los procesos de enseñanza-aprendizaje en la asignatura de Medios de Representación Gráfica II de la Facultad de Ingeniería de la UNLZ
El trabajo propuso contribuir al conocimiento en el campo de la educación con un enfoque metodológico en el diseño, evaluación y gestión del modelo educativo utilizado en la asignatura de Medios de Representación Gráfica II, dictada en la Facultad de Ingeniería de la Universidad Nacional de Lomas de Zamora. La asignatura de Medios de Representación Gráfica II forma parte del plan de estudios de las todas las carreras de Ingeniería que se cursan en la Universidad Nacional de Lomas de Zamora (ferroviaria, industrial y mecánica). Se trata de una asignatura que corresponde al Bloque de las Ciencias Básicas , ubicada en el segundo cuatrimestre del plan de estudios para todas las carreras y con una carga horaria de 128 hs. cuatrimestrales, a impartirse en 16 semanas de cursada. El objetivo principal que se planteó fue indagar la relación entre la modalidad de cursada seleccionada, el diseño curricular y el grado de percepción que tienen los alumnos respecto del diseño de la asignatura con su rendimiento académico para mejorarlo junto a la calidad del proceso de enseñanza, focalizándose en la adquisición de competencias requeridas por el mercado laboral.
Engagement strategy for customer loyalty in a Peruvian Company
The general objective of this research was to identify how the engagement strategy affects customer loyalty of Econolentes, Metropolitan Lima 2021. In this sense, a nonexperimental, cross-sectional design was used, with a quantitative and explanatory level approach. The population under study was infinite, made up of clients over 18 years of age who interact with the company in person, online or both. We worked with a nonprobabilistic sample for convenience, made up of 150 clients. The technique used was the survey. The instrument used to measure the variables was the Likert-type ordinal scale questionnaire, which obtained a Cronbach's alpha of 0.94, which means excellent statistical reliability. and a content validation of 89% by experts. Overall, it is concluded that the Engagement Strategy has a 68.3% impact on customer loyalty of the company Econolentes, Metropolitan Lima 2021, identified through regression analysis, with a significance level of 0.000 and a correlation coefficient of 0.827, which indicates that applying Engagement Strategies is beneficial to ensure customer continuity.
Total metals in Nostoc “Cushuro” habitat
Nostoc sp. is a species with attractive biotechnological potential for the industry, with limitations due to its low natural production. The present study aimed to determine the total dissolved metals in the water bodies where Nostoc "Cushuro" grows, in three high Andean areas of the La Libertad Region: Caserío Urupampa, Laguna Verde Oscorgon and Laguna Cushuro, during the months of November and December 2019. Total metals were determined using the EPA-Method 200.7 Rev. 4.4 method by ICP, finding values below the maximum permissible limit except for phosphorus in the sample from Caserío Urupampa because it is an area with greater exposure to the movement of people and animals, which are a source of organic phosphorus. Nostoc parmeloides, Nostoc sphaericum and Nostoc commune species were found, demonstrating their ability to adapt to different conditions.
Social responsibility and purchasing decisions of millennial female consumers in the cosmetics industry.
The objective of this study was to determine if social responsibility influences the purchasing decision of millennial consumers in the cosmetics industry, metropolitan Lima 2021. This research is pure, with a quantitative approach, a causal correlational level, and its design is non-experimental. cross type. The study population consisted of 1,673.4 millennial women from metropolitan Lima, in an age range of 21 to 40 years, the nonprobabilistic sample was used for convenience, since 180 women from the population were selected for utility. The technique applied was the survey and the instrument used was the questionnaire, which was validated by expert teachers and submitted to the Aiken V test, resulting applicable and for reliability, Cronbach's Alpha coefficient was used, whose result was 0.977, which meant a high statistical reliability. Finally, it was determined that social responsibility significantly influences the purchasing decision of millennial consumers in the cosmetics industry, metropolitan Lima 2021, demonstrated through a Chi-Square test with a value of 35,882 and an asymptotic significance level of 0.000, which clearly indicates that the development of social responsibility significantly influences the purchase decision.
Compost obtained from organic waste in the city of Lima, 2022
In the present research work, the evaluation of the quality of the compost obtained from organic waste in the city of Lima-2022 was carried out. The problem lies in the mismanagement of solid waste by street vendors, merchants and civilians. This generates waste such as fruit peels, sawdust, sheep feces, among others. Bringing as consequences a direct impact to the ground, in addition to possible sources of health risk. The design of a compost bin was carried out taking into account the methodology used in the research project Preparation of compost from the organic waste generated in the cleaning of the plant of the company COPEINCA SAC Finally the sample was taken to the accredited laboratory System of services and chemical analysis S.A.C (SLAB), obtaining a quality compost within the parameters provided by the WHO and the comparison with the Chilean regulation 2880 was also made.
Using Stata to measure the effects of the Pandemic on monetary poverty among monetary poverty of female-headed households in rural Peru
The covid-19 pandemic had negative economic consequences throughout the world, mainly affecting those who were in a vulnerable situation. In Peru, the incidence of monetary poverty at the household level had a considerable increase at the regional and national levels, reaching the lowest indicators observed during the last five years. In this sense, the objective of the document is to identify the effects of the covid-19 pandemic on the determinants of the incidence of monetary poverty in households headed by women in rural Peru for the year 2021, for this we compare the marginal effects obtained with the results of the year 2019. This contrast is made after obtaining the results through the methodology associated with the probability models, Logit and Probit in Stata, with categorical dependent variable, by maximum likelihood, based on the microdata of the survey of households, corresponding to the years analyzed. Within this analysis we consider characteristics of the heads of household, their environment and housing, which provide us with arguments to discuss the position in the short, medium and long term of public policies based on vulnerable populations.
Micro-learning with instructional content in the teaching of scientific research: A qualitative study conducted in Peru
Micro-learning is a strategy used to improve student learning by using technological resources in a brief, specific and digital way. The objective was to understand and evaluate the use of micro-learning capsules in the development of the research course. The students, guided by the course teachers, elaborated learning microcapsules on scientific research topics. The time used was 8 minutes maximum and they were developed in the second unit of the course "thesis development". The microcapsules were reviewed and corrected. Subsequently, they were published in the Blackboard platform of the course to be shared. The "virtual discussion group" technique was used to explore the feelings of 10 key participants, who showed interest in the development of the strategy. The responses obtained were analyzed, and three subcategories emerged (a) socialization (b) type of learning and (c) emotions. The results showed that students learn or analyze better when they elaborate, research, propose and share content related to a selected topic
Impact of the Pandemic on the economic returns of education in Peru
The objective of the document is to determine the effects of the Covid-19 pandemic on the economic returns of education in Peru for the year 2021, for this purpose we compare the marginal effects obtained by each educational level achieved with the results of the year 2019, this contrast is made after estimating the relationship known as the Mincer equation by the method of ordinary least squares, working in the first instance with all the information, then complementing the analysis with regressions by quantiles that provide us with a response conditioned to the levels from income. Likewise, we include control variables that expand our study since it adds characteristics of the individuals, their employment status and geographic location.
Single-phase D-STATCOM prototype based on the use of an Arduino nano controller.
This paper deals with the design, tests, and results obtained by implementing a D-STATCOM prototype. The process is detailed from the point of view of the design, going to the operation of the D-STATCOM and ending with the design of the prototype. Finally, an analysis of the tests and results obtained is carried out to validate the design and the developed prototype.
Strategies for reducing energy consumption in public buildings: the Garzota Research Case
In this paper, the energy modelling of the utility building Garzota in the city of Guayaquil, Ecuador was performed using OpenStudio tools and the EnergyPlus calculation engine. In this research, we applied the methodology defined by Ashrae to create the reference model and validate the model. As a result, three strategies were then proposed to increase the energy efficiency of buildings. First, apply sunscreen film to the windows to reduce the solar heat input to the building facade. Second, increase the efficiency of the building's cooling and air-conditioning systems, improve the performance of the fan motors, and regulate the indoor temperature of the building to 25 degrees Celsius. This is in consistent with the recommendations of the Ecuadorian Manual on Energy Efficiency in Public Buildings. Finally, we propose installing a photovoltaic system on the roof of the buildings to generate electricity on-site while reducing heat gain from the roof. These three measures can reduce building power consumption, especially cooling power consumption, by 9.67%. This is an added value for installing photovoltaic systems in public buildings.
Financial management of the Savings and Credit Cooperative in periods of uncertainty
The containment measures adopted by the governments to curb the spread of the pandemic in 2020 affected to a greater or lesser extent the different sectors of global economic activity. In that sense, the objective of this research was to determine how the restrictive measures imposed by the Peruvian government to contain the spread of Covid-19 impacted the financial management of the Savings and Credit Cooperative. A single group linear contrast design was applied, with a transversal, non-experimental approach. The financial statements and complementary information of the entity were analyzed, which allowed to understand the management and behavior of liquidity before (2019) and after such restrictions (2020). The results obtained revealed that the government restrictive measures imposed due to the Covid-19 health crisis did not have a determining influence on its liquidity. Its negative impact is recognized however, the reduction in available funds at the end of the 2020 period can also be explained by other factors, such as inadequate credit granting policies and inefficient collection management, reflected in a high delinquency rate (15%) and a low level of liquidity coverage (23%), which have been present in previous years. It is suggested to deepen the study considering the important role played by these microfinance sector organizations in credit decentralization.
Digital marketing and customer value-oriented business management in SMEs
Currently, SMEs are influenced by the technological advances that the business world is evolving, and the constant changes in customer preferences, which is why digital marketing and customer-oriented business management will be discussed. The objective of this research was to determine how digital marketing influences business management oriented to customer value in SMEs, San Juan de Lurigancho, Lima 2021. The type of research is basic, with a quantitative approach, at an explanatory level and Its design is non-experimental with a cross section. The population was made up of all the clients of the SMEs in the San Juan de Lurigancho district that make purchases online, with a nonprobabilistic sample for convenience, made up of 180 clients. The applied technique was the survey and the instrument used by a questionnaire, validated by experts and applicable result and For reliability, Cronbach's Alpha coefficient was used, demonstrating high statistical reliability. Thus, it was determined that digital marketing significantly influences business management oriented towards customer value in SMEs, demonstrated by regression analysis with a global significance level of ANOVA 0.05 and contrasted with the R-Squared statistic =0.582. In other words, digital marketing explains customer-oriented business management in that magnitude.
Development of a Cost-Optimal Nutritionally Balanced Homemade Canine Diet through Linear Programming
The following work aims to propose a linear programming model to optimize the cost of preparing a homemade diet for dogs, using ingredients available in the local markets, always trying to maintain the animal’s nutritional requirements. The creation of the diet comes from the need of having a high-quality pet diet at a low cost, since consumers tend to perceive the meal’s price at a same standard as its price. Two different energy densities and fat variations were used to obtain the resulting recipes, of which the high fat diet yielded a nutrient composition of 28.23% crude protein, 20.60% fat, 4.61% dietary fiber, 3.03% ash, 0.63% calcium, 0.535% phosphorus, and 0.095% sodium. The low-fat diet yielded a composition of 30.96% crude protein, 17.03% fat, 4.49% fiber, 2.98% ash, 0.62% calcium, 0.93% phosphorus, and 0.093% sodium. The cost obtained for each of the diets was L.4.57 per 78.98 grams (L.26.25/lb.) and L.20.05 per 322.97 grams (L.28.18/lb.) respectively.
Linear Programming: Tool for Agricultural Development
The current investigation proposed to design a crop rotation plan based on organic farms that improves farm income through linear programming. To carry out the investigation, the problem was defined in the farms in Mata de Plátano, El Paraiso, Honduras where they lack agricultural training and knowledge the operations on their farms do not provide competent utility or productivity and affects their income. To accomplish the objective surveys were made to know about the resources that the farms in Mata de Plátano already had. Also, a documentary review was prepared to define all the principles of crop rotation that the mathematical model must follow. Subsequently, the mathematical model was developed through Solver Excel and finally its operation was validated by comparing the results with farm's current practices. In conclusion, the investigation was carried out successfully. The mathematical model followed all the principles of crop rotation, the constraints from the current available resources, found the optimal solution to increase farms production and it was validated that the model generates more profits than the current method.
Bioremediation of DAM: Adsorption of copper, iron and mercury using Chondracanthus chamissoi.
In the present investigation, the adsorption of copper, iron and mercury in solution with concentrations of 100, 300 and 500 ppm was evaluated in the seaweed Chondracanthus chamissoi "cochayuyo" during agitation times of 2, 4 and 6 hours, following the multiple factorial design and according to the analysis of variance of the data obtained as results, the most significant variable was the agitation time, which corresponded to a first order kinetics of adsorption of metals in solution in the seaweed. The least significant variable was the concentration of the test solutions. The metals copper, iron and mercury dissolved in the same volume of solution were adsorbed in higher amount when the algae weight was lower, compared to the lower amount adsorbed for higher algae weight. There was not much difference between the adsorption rate behavior by the algae at the same test conditions, being first iron, then very close copper and then mercury. The highest average weight of copper, iron and mercury deposited on Chondracanthus chamissoi was 78.4, 85.6 and 70.8 µg/g of algae respectively and corresponded to an agitation time of 6 hours, with 10 g of algae in the column and 500 ppm of copper, iron and mercury solution respectively. The lowest average weight of copper, iron and mercury deposited on Chondracanthus chamissoi was 43.8, 38.8 and 32.6 µg/g of algae respectively and corresponded to an agitation time of 2 hours, with 30 g of algae in the column and 100 ppm in copper, iron and mercury solution respectively. Based on these results, which show the feasibility of adsorption of metals present in a solution on the surface of the algae, biofilters with Chondracanthus chamissoi can be used for the treatment of Acid Mine Drainage (AMD), effluents from artisanal or other mining activities that generate liquid waste with the presence of heavy metals, designing the appropriate equipment for the treatment of effluents containing these dissolved metals, using Chondracanthus chamissoi as a biosorbent.
Architectural physical-spatial quality: an alternative to improve work performance
The present study determined the physical-spatialarchitectural quality in the work performance of employees of the municipality of Chilete, to make architectural design decisions. Method: The inductive, deductive method was used to analyze and describe the different case studies based on two Municipalities: Chugay district and Virú province. This study identified four firstlevel categories and forty-three second-level indicators in four dimensions: functional design (layout and area), flow organization, support facilities, and environmental details (physical and landscape environment) were used. Results: The study showed that the main parameters that were developed for the integral design and functional flexibility comply with 88.23% in high adaptability. In the optimization of flows where 84.375% meets high adaptability to the flows of circulation and evacuation of the municipal infrastructure. Conclusion: Optimize the design of the waiting space in pediatric clinics, with a focus on functional design, flow organization, facilities, support, and environmental details, improving general satisfaction in the waiting environments and offices of the institution. The results are preliminary they need to be further tested in reality by completing the evaluation process based on the case studies. Guiding us with alternatives to sift the integral design of the spatial physical quality that will be used by municipal employees.
Atmospheric water collection using Three Types of Fog Catchers for high Andean climatic conditions, case: locality 22 de Mayo-Celendín-Perú
This research arises from the increasingly urgent need to have accessible water sources to improve the quality of life of the majority of rural populations in the high Andean areas where surface and subsurface water sources are scarce In this sense, the use of fog catcher systemwas proposed as an option to water shortages, especially in these high Andean rural areas where there is apparent fog and fog to generate water in a liquid state. The objective of the research was to compare the efficiency of the volume of water captured using three types of fog catching meshes for local climatic conditions in the 22 de Mayo Populated Center, located in the heights of the Peruvian Andes at an altitude of 3296 m.a.s.l., measurements were made daily from September 2021 to March 2022, For the study, 3 two-dimensional fog catchers were used in which the volume of water captured daily was measured to correlate with the meteorological information obtained with a semi-automatic station installed in situ. The methodology used is of the IDPD type (identify, describe, deepen and disseminate) According to the results obtained , there is evidence of a better efficiency of capture of the fog catcher with surgical fabric mesh, noting that both the fog catcher with fique rib mesh as well as the one built with RaSchel type mesh capture on average 50.06% and 25.48% less than Lo capturedby the fog catcher built with surgical fabric mesh respectively.
Improvement proposal to increase the production efficiency of garment with lean manufacturing tools for the textile sector in Lima
In Peru, the textile and clothing sector is considered the third activity with the highest market share and with the greatest contribution to the national economy. Much of this industry is made up of small and medium-sized businesses, which generate the largest number of jobs. However, most of these companies present problems in factors such as quality, high production times and low availability of machinery, which hinder better performance in the market and undoubtedly affect competitiveness. The present research work aims to increase production efficiency in a garment line based on Lean Manufacturing tools. Which proposes a model based on the use of tools such as 6S, SLP, TPM (2 pillars), Study of methods, time, and motion study. The results of the application of the proposed model with each of the tools were taken periodically until an improvement of 13% was obtained in the indicator of Overall equipment efficiency (OEE).
Laboratory of social innovation in engineering as a strategy to promote sustainable development in marginalized communities and transform them into off-grid communities.
Social Innovation Laboratories are spaces that promote co-creation to solve social problems, through the application of innovation processes and technology for social appropriation. They link the university with the community, the strategies of university practices, extension and social projection, and civil society. Technological innovations drive quality education systems and foster meaningful learning. Through remote laboratories, it is possible to have access to laboratory instruments or machines to carry out practices or experiments in real time, regardless of time or geographic location. One strategy to reduce poverty and inequality is to ensure that vulnerable communities have access to energy services. Most of the energy production is from fossil fuels, which generates greenhouse gases that represent a health risk. It is imperative to deepen measures focused on energy saving, greater energy efficiency and the progressive incorporation of energy sources with low environmental impact. This is how innovation laboratories arise within the framework of energy sustainability. This paper presents the results of applying different energy systems from renewable sources through the simulation of energy changes in remote laboratories with the aim of strengthening the skills that allow students to generate strategies and specific actions to promote sustainable development in marginalized communities, transform them into off-grid communities and improve their quality of life. The results show the development of disciplinary and transversal competences with the proposed methodology, because digital tools allow activities to be carried out with sufficient fidelity to achieve meaningful learning and training in energy sustainability.
Location control of a mobile robot based on fuzzy PID and adaptive filtering LMS and RLS
The development of traditional PID control systems requires mathematics to find the optimal tuning constants. In contrast, fuzzy controllers are simpler to use because their implementation is based on inference rules created by an expert. In this work, a PID fuzzy controller and an adaptive filter have been implemented in a children healthy treatment mobile robot prototype to control its position, evaluating different membership functions and the behavior of the adaptive filter against external disturbances. Simulink and Arduino have been used for this purpose by means of serial communication. The robot prototype has been designed using inventor, printed with 3D technology. The most efficient controller has been the PD controller, reaching a stability not achieved by the other controllers. The PD controller has been complemented with an adaptive RLS filter, which in turn was the one that obtained the minimum error compared to the LMS filter.
VISION ALGORITHM DEVELOPMENT ARTIFICIAL TO DETECT THE DROWSINESS IN DRIVERS HEAVY MACHINERY MINERS
The main objective of this research is to develop an artificial vision algorithm that detects the drowsiness of heavy machinery mining drivers, using an artificial vision architecture with Python software, importing face detection libraries such as shape_predictor_68_face_landmarks with which it will be detected and They will identify each important point. In the input stage, the face will be detected with a camera placed in a strategic point of the vehicle and/or machine. Then the software detects and measures the required points. A threshold 0.22 was used at a time of 60 fps (1sec) to determine if the individual is blinking continuously or due to fatigue, if this is the case an alert message will be sent. In the tests carried out we obtained average positive results of 96.48%.
Proposal for improvement in warehouse management using Lean Warehousing methodology to increase the service level of a distribution company
The main objective of the study was to improve the service level of a distribution and marketing company, surpassing the 93.19% indicator recorded in 2021 and reaching a service level of over 95%. The improvement proposal focused on reducing dispatch process times, reducing quality errors in the products delivered to the client and improving merchandise control. To achieve these objectives, Lean Warehousing, inventory management and Systematic Layout Planning methodologies were applied, resulting in a more efficient warehouse system. As a result, the monthly average time of the dispatch process was reduced from 574.20 to 429.12 minutes, the daily cases of damaged or broken merchandise were reduced by 75%, and there was a total improvement in the cases of expired or soon-to-expire products. In addition, merchandise control improved from 87% to 98.64% according to the ERI, and there was a 62.63% decrease in costs for total and partial returns, compared to annual losses of S/1,569,859.28 before the improvement. It should be noted that during the application of the methodologies, it was found that implementation takes time and requires adequate training of personnel.
Model based on TPM to increase the overall efficiency of equipment in an oil company
The palm oil industry accounts for 33% of vegetable oil production worldwide and has seen an increase in demand in recent years. Despite this, demand in Peru cannot be met because, in many companies, the efficiency of the machines is far below the ideal indicator of 85%. In the company under study, located in the Ucayali-Peru region, the overall equipment efficiency (OEE) is 73.27%, implying that the machinery is not adequately utilized. In that sense, this article shares a real experience of the palm oil industry for an improvement project evaluated with the OEE indicator through the Total Productive Maintenance (TPM), Single-Minute Exchange of Die (SMED) methodologies, among other engineering tools. The final objective is to achieve an improvement in the OEE metric up to the World-Class category of 85%. After simulating the proposed model in Arena taking as indicators the MTTR, Set-up time and downtime, a new improved OEE was calculated, which meant an increase of 14.97%, with an availability of 2.96% and a yield of 12.59%. The verdicts of this labor exposed the profit of TPM application in real world oil companies.
Improvement model to increase the efficiency of the sewing area in a textile SME by applying SMED, 5S and Standardized Work - A Peruvian case study
The textile industry in Peru is one of the most representative in terms of its contribution to GDP however, in the last 10 years the industry has suffered a 1.5% annual drop in its share of GDP. This is due to the fact that the sector suffers from a series of deficiencies such as low productive efficiency, which is 70.2%. Faced with this problem, some authors opted for the application of some tools such as SMED, SW and 5s to counteract it. But according to the literature review, there is a lack of knowledge of the application of the mentioned tools in textile SMEs, since SMED and 5s are mostly applied in large companies, while SW has little history of applicability despite being a powerful tool that achieves positive changes in production. Therefore, in order to provide a solution to the problem studied, it is necessary to apply the aforementioned tools. This article proposes an improvement model that aims to increase the efficiency of a textile SME through the applicability of tools such as 5S, SMED and SW. The effectiveness of the model was validated with the use of the simulation developed in arena software, obtaining as main result that the efficiency of the sewing area in the textile SME increased from 64.5% to 80%. This leads to the conclusion that the proposal manages to improve the company's productivity, which allows it to generate higher income by making efficient use of its resources.
Improvement model to increase efficiency through the use of 5S, TPM and SMED tools in a plastic SME company
Over time, the manufacturing industry has evolved enormously, requiring increasingly efficient processes, with reduced repair times and fewer defects. In this sense, in the case study a low efficiency in the production process was identified, given that the percentage in the plastics sector is 73%. Therefore, a more detailed analysis was carried out and it was found that high repair time and reprocessing due to defects are the main causes. Consequently, an improvement model based on 5S, TPM and SMED tools is proposed with the objective of reducing the costs of the described problem, which are equivalent to 7.45% of revenues. In addition, it seeks to reduce reprocesses due to defects by 43%, while repair time is reduced by 77%. Applying the presented model, it was obtained a decrease of the presented 5S deficiencies by 11.50%, increase of efficiency to 73.65%, improvement of machine availability to 85.46% and reduction by 1.36% and up to 39.24 of the effects of burn marks and setup time, respectively. Thus, it is expected that companies belonging to the plastics or related sectors will use the results obtained as a reference for improvement.
Diversification of Peruvian Ginger exports 2012 – 2021
En la última década, se desarrolló un aumento en las exportaciones de jengibre en los diferentes mercados del mundo, con la presente investigación se deseaba determinar el nivel de exportaciones peruanas de este producto a través del análisis de la diversificación de mercados y empresas exportadoras durante De 2012 a 2021, la investigación fue cuantitativa, no experimental, transversal, básica y descriptiva, utilizando como instrumento una guía de revisión que recogió los datos registrados en el portal web aduanero de la SUNAT de las empresas exportadoras de jengibre bajo el subrubro nacional 0910110000 (Jengibre sin triturar ni pulverizar) en un período de 10 años a partir de 2012, para el cálculo de la diversificación se utilizó un indicador conocido como índice Herfindahl-Hirschman (IHH). Entre los resultados más relevantes, se concluye que se encontró que hubo un aumento en la diversificación de las empresas exportadoras, llegando a 2021 con 140 empresas exportadoras de jengibre, pasando de un índice de 4036 en 2012 a 334 en 2021. En cuanto al mercado encontró que hubo un aumento en la diversificación de las empresas exportadoras, pasando de un índice de 3.286 en 2012 a 2.525 en 2021, lo que indicó que los mercados no están diversificados, siendo los principales mercados de destino Estados Unidos, Holanda y España, que comprendieron el 84% del total.
SATISFACTION, TRUST, INVOLVEMENT AND PROPENSITY TO NEW TECHNOLOGIES AS PREDICTORS OF IMPULSE PURCHASE
The objective of the research was to be able to give an analysis of the factors that mobile commerce has and that influence impulse purchases, taking generation Y from the city of Chiclayo-Peru as a study. To achieve the objective, a quantitative, applied, non-experimental methodology was used and whose level was explanatory. The population that was considered were mobile phone users with experience in purchases through their devices, with a sample of 382 people. The most relevant conclusion was that all the factors analyzed related to mobile shopping had an influence on impulsivity.
Design of a Digital Electrocardiograph with Arduino in Telemetry for the Elderly
The present work has the purpose of designing and implementing a digital and wireless electrocardiograph, made with Arduino nano, capable of measuring the electrical activity of the heart at a distance, transmitting it and processing it through the Android Studio software, with the purpose that a cardiologist can obtain a diagnosis of the cardiovascular picture of the geriatric patient, mainly, without the need to transfer him to a hospital. This project consists of an Arduino nano, which performs two main functions, the first function is to execute the electrocardiogram readings, it is to place the ECG electrodes in the precordial and send the AD8232 signals to the Arduino nano, likewise in this in the first phase, the first 150 pulses must be collected, and these must be stored in RAM memory. The second function is to connect the RAID to the SIM 800L, a connection loop is executed to send the collected data and store it in the database. Next, the application developed in Android Studio goes on to graph the stored data. For the visualization of results, the collection time and data delivery time are considered. Various tests were carried out that conclude that the electrocardiograph telemetry shows an efficiency of 95.71%, corroborating the effectiveness of taking the electrical signal from the heart to detect different cardiac conditions. Therefore, it was concluded that it is feasible to carry out the design and construction of the project.
Artificial Vision System Based on Neural Networks to Identify Defects in Yungay Potato and Huevo de indio Caused by Premnotrypes Vorax
In the present investigation a proposal of an artificial vision system is presented, based on neural networks to identify defects in the yungay potato and Indian egg, caused by the Premnotrypes Vorax. The objective of this research is to develop an artificial vision algorithm that allows the detection of potatoes with defects caused by the white worm. For the realization of the software, the Python programming language and the Tensorflow platform were used. For this, an i5-1.60 GHz, 1800 Mhz computer was used for a correct image processor, it also has a capacity of 4 Gb of RAM memory, a 1080-pixel camera was also used to be connected to the equipment. Through an experimental and quantitative trial-and-error methodology, the designed software allowed the classification to be carried out with an efficiency level of 96.33% for the Yungay potato, while for the Huevo de Indio potato, the efficiency was 95.12%, observing which is more effective in the yungay potato. Concluding that the implementation of software with artificial vision is a good opportunity for improvement for potato farmers because they would be more efficient when classifying potatoes
Design of an artificial vision algorithm to detect cracks in chicken eggs in quality control for poultry companies
An algorithm was developed to detect cracks in the external part of the egg applying artificial vision and image processing techniques. The algorithm centers its operation on a Lenovo laptop with an Intel i5 processor and Windows 10 64-bit, which, connected to a cell phone camera with the CAMP STUDIO application, acquires images of the front face of the egg applying the basic ovoscopy technique. The acquired images are processed inside the Lenovo laptop. Statistical and computer vision methods are used to detect abnormalities present on the outside of the egg such as cracks in the shell, excrement, and blood. From the tests carried out with the algorithm, a system efficiency of 96.52% was obtained as a result. It is concluded that the implementation of the algorithm improves the quality and good condition of the egg at the same time allows a greater efficiency of the process, carrying out daily production control in a stored database.
Physicochemical parameters of the water of the Salitre ponds influencing the sexual maturity of Trichomycterus punctulatus (Valenciennes, 1846), in the Jequetepeque Valley, Cajamarca-Peru.
This research work is carried out in the Centro Poblado El Salitre, district of Tantarica, province of Contumazá department of Cajamarca- Peru. The research derives from a thesis work of the National University of Cajamarca, with the data that were obtained from the mining canon project "Obtaining seed by induced reproduction of Trichomycterus punctulatus Valenciennes 1846 (Life), and intensive cultivation in the Jequetepeque valley, Cajamarca, Peru". The work is based on determining the correlation of the physicochemical parameters of pond water during the sexual maturity of T. punctulatus. In which all the data of interest for the research work that were obtained from the database of the mining canon project were recorded. Obtaining as results that between the months of October 2020 to April 2021, 99 specimens of T. punctulatus, life had been sampled, of which 77 were females and 22 males, with an average height of 17.55 cm and an average weight of 45.75 g. In addition, the highest gonadosomatic index in females was obtained in January with an average of 19.39%. Also, most of the life specimens were in the mature and gravid stage and the correlation that could be determined by the Rho Spearman test, between the stage of sexual maturity of T. punctulatus with the temperature and pH of the water was significant direct (p0.05), and the correlation with the dissolved o0xigen and the conductivity of the water was inverse but not significant (p> 0.05). On the other hand, during the mature stage the weight of the gonad presented a significant inverse correlation (p0.05) with temperature, conductivity and dissolved oxygen and during the gravid stage the weight of the gonad presented an inverse and significant relationship (p0.01) with conductivity and pH.
Variation of the concentration of heavy metals due to rains and floods in the Rimac river basin, Lima-Peru.
Abstract – The urban agglomeration of Lima and Callao is the second largest city in the world located in a desert, and its supply depends on three small rivers, the Rímac River being the one with the greatest water supply, affected by contamination by mining tailings, sewage and Solid waste. In order to know the climatological and hydrographic conditions that favor the concentration of heavy metals in the water, the relationship between rainfall, water discharges and concentration of aluminum, cadmium, iron and lead in the Rímac River hydrographic system in the period 2018 – 2021. For which data processing was carried out from six meteorological stations, a water quality monitoring point and four limnimetric stations, through dynamic tables. As a result, it was found that the concentration of heavy metals is higher in the lower basin when rainfall and river level increase in localities of the Alto Rímac sub-basin, which presents intense mining activity, unlike the Santa Eulalia sub-basin. river where there are no large-scale mining operations, whose records present weaker relationships with the concentration of heavy metals. In conclusion, the highest concentration of heavy metals in the lower basin occurs during the months with the most intense rains in the headwaters of the basin, as the dragging capacity increases during the flooding of rivers and streams, allowing concentrations to exceed up to 120 times the quality standards for the production of drinking water.
DEVELOPMENT OF BIODEGRADABLE PELLETS FROM ECUADORIAN STARCH AND A RICE SUB-PRODUCT
The single-use plastic items derived from oil are considered an environmental burden, worldwide. Efforts have been exerted to replace oil-based plastic with biodegradable polymers. However, it is unsustainable depending on a single material, so developing countries with plenty of biomass should develop their solutions. This study proposes developing biodegradable polymer pellets based on cassava or plantain starch using rice bran as a source of fiber, different pelletization temperatures, and glycerol as a plasticizer. A degradation test followed the pellet manufacture to decide the most promising formula developed. Cassava starch seems to be a better polysaccharide when working with rice bran, and 50 °C pelletization temperature.
Wearable Translator of the Dactylogical Alphabet of the Honduran Sign Language
Inequality of opportunity for the hearing impaired has been a problem for many years. Hearing impaired people find it difficult to communicate effectively with hearing people because most people do not know sign language. This research seeks to provide a tool that facilitates and helps people to learn sign language and achieve communication between the hearing impaired and hearing people. For the development of the prototype, it was necessary to approach the hearing-impaired people, an electrical analysis to know the variation of flexibility of people, the design of a PCB personality board and the design of a 3D glove. Then the assembly of the electrical components to the glove was done and a pilot test was conducted with students of the faculty of engineering, where positive results were obtained on the programming at the time of performing the desired letter. Finally, a prototype was created that allowed the translation of the Honduran sign language alphabet through the development of an application that included a voice command to reproduce the formed word.
Design of a Long Distance Wi-Fi network for the populated centers of Peru, to reduce the digital divide and times of national emergency such as Covid-19 in rural areas.
The present work contains a brief description of the main considerations required to carry out the deployment of a telecommunications network that mainly benefits the educational institutions of the populated centers of Peru through the use of Wi-Fi technologies for long distances which proposes low costs and greater benefits for a low-income population. A design is proposed based on data and information collected in the field from 22 populated centers in northern Peru. The design establishes the fundamental aspects for the deployment of the project, required capacity for the network, technical specifications of the equipment, topology of the wireless network, as well as a coverage analysis and the feasibility of each link, to finally estimate the most appropriate educational platform in times of crisis such as the Covid-19 pandemic and the reduction of the digital divide in areas of difficult access.
Deep Neural Network to Describe the Measurement of the Higgs Production in the Full Leptonic Channel via Vector Boson Fusion
In this article, an analysis of the Higgs boson production via vector boson fusion in the SM H→WW→ 2l2ν (l = e, μ) is performed from an optimization technique in the event selection, called DNN analysis. This analysis compares the standard selection process that CERN performs to study the production of a particle from a cut-based analysis, where the study of statistical significance shows that DNN analysis can better separate signal and background events. To perform the DNN analysis, we optimized the neural network configuration to discriminate signal and background events effectively. Moreover, studies of activation functions such as RELU and Sigmoid, stochastic optimization methods such as ADAM, and regularization methods such as Dropout. All this leads to constructing an optimal neural network topology capable of learning events and signal and background discrimination. Finally, we found an important improvement of approximately 47% and 27% for Z_VBF and Z_Higgs, respectively.
Future Trends of Building Energy Management Systems: A Scientific Mapping Approach
The objective of this review work was to establish a scientific map of the identification of future trends of the application of building energy management systems (BEMS) in energy control. For this, the Scopus database was used to collect documents that were used in the analysis of the bibliometric review work. Consequently, SciMAT was used to carry out the complete bibliometric process, from data processing to analysis. The results indicate that the most challenging issues of BEMS is to maximize energy efficiency, minimizing losses and energy consumption. This has been adequately addressed with the concept of the Internet of Things (IoT). However, the trend points to the thematic concept of the Internet of Energy (IoE) in energy monitoring and control in buildings through two-way communication between the smart grid and BEMS. Therefore, this review highlights IoT and IoE- based energy management as key technologies to support the future advanced implementation of BEMS.
Pedagogical strategy for lifelong learning
Based on one of the fundamental principles of the educational model of the European Higher Education Area regarding the development of the capacity to achieve lifelong learning, this project has been carried out in which a set of active teaching activities have been implemented for the acquisition of key competencies in the challenge of achieving one of the most important objectives that any educational system should provide: lifelong learning. The aim of this model is to facilitate the incorporation of new university graduates into the labor market. This project has been developed in the context of subjects in the field of Electronics. However, in order to facilitate transfer to other subjects, the catalog of active teaching activities is sufficiently varied to facilitate their extrapolation and use in other subjects, thanks to the fact that teachers have a wide variety of activities to choose from the set. Finally, a survey has been developed to evaluate the satisfaction, impact and improvement of this new active methodology in order to know the students' perspectives once they have worked with this catalog of activities.
News Categorisation Based on Pre-Trained Transformer Models
The rise of digital journalism, the amount of news and the continuous number of people accessing these contents, often generates that third parties through web platforms and social networks have the opportunity to persuade readers with content that alters their opinion or behaviour on a topic, so it is necessary to classify news using Natural Language Processing (NLP) techniques. This work seeks to experiment with pre-trained Transformer models using transfer learning and fine tuning to obtain a model capable of determining whether a news item is satire, opinion or information. To do so, we use a labelled dataset of news in English presented for the SemEval 2023 campaign, translating it into Spanish to experiment also in this language. We use pre-trained Transformer models for text classification tasks in the mentioned languages, thus, we compare several models and their predictions using evaluation metrics. The results give indications of the goodness of the models considering the type of news subjective, in the case of satire and opinion, and objective for information, thus contributing to future research related to text classification, specifically news categorisation.
Aggression and Hate in Spanish Text Messages, Identification Using a Pre-Trained Transformer Model.
Nowadays, social networks have given rise to the free expression of opinions and thoughts in real time, however, this can also lead to negative interactions, such as bullying, discrimination and other aggressive and hateful behaviour. To address this issue, different Natural Language Processing (NLP) methods and techniques exist. In this paper, a quasi-experimental investigation was carried out using the pre-trained Pysentimiento Transformer model to detect the presence of aggression and hate in Spanish text messages on the social network Twitter. Data extraction and processing tools were used to ensure the quality of the data before it was run through the model. A web interface was also designed to present the information obtained through graphs and tables, allowing a clear assessment of the detection of aggressive and hateful content in text messages through various analysis criteria. It is shown that it is possible to detect aggression and hatred in text messages using a Transformer model pre-trained for the task, and use it to create systems or applications that detect and quantify these symptoms in messages written by people.
Therapeutic gardens, do they influence the mental health of older adults?: A literature review
The population of elderly adults in the world is around 1000 million inhabitants0 one of the main situations they face is the increase in health problems. Another important problem is isolation, due to the loss of contact with family and friends, which can lead to a deterioration of mood, mental well-being and health in general0 one of the strategies that is generating well-being and improving their quality of life is the use of therapeutic gardens. The objective of the research was to determine the importance of therapeutic gardens in the mental health of elderly adults, reported in the scientific literature at the international level between 2018 and 2023. The methodology used was the systematic review of the literature, supported by the PRISMA method. Articles published in Spanish, English and Portuguese were included. The databases were: Scopus, PubMed, Ebsco, ScienceDirect, Dialnet, ProQuest, Scielo and Google Scholar. Articles that were not related to the topic were excluded. The search began with 85053 articles and after applying the inclusion and exclusion criteria it was reduced to 7 articles. It was found that therapeutic gardens improve the physical, mental, psychological, emotional, cognitive, social health and sleep quality of elderly adults0 likewise, they allow a sense of continuity and identity to be maintained by connecting with nature, and promote the improvement of the immune system. Based on the findings, it is suggested that a multidisciplinary work be carried out involving engineers, architects and health personnel for the design and implementation of therapeutic gardens in different areas. The main limitation was the scarce scientific literature on the subject.
Aplicaciones de los complejos simpliciales en el cálculo del grupo de homotopía de la esfera y en la ingeniería de sistemas
En este artículo se demuestra, usando Teoría de Complejos Simpliciales, que el Grupo fundamental de la esfera es isomorfo a Z y se detallan algunas aplicaciones en la Ingeniería de Sistemas.
Characterization of the Subsoil by Means of Electrical Tomography to Determine the Infiltration Level of leached Fluids from the Former Shudal Dump, Cajamarca 2022
The purpose of this research is to carry out a geophysical study through the application and use of electrical tomography, which is capable of supplying and processing fundamental information in the characterization of the subsoil of the former Shudal Dump, Cajamarca, 20220 as well as determine the level of infiltration generated by leached fluids in dumps. That is why, the use of geophysical methods is shown to be dependent on the interpretation and research work, since within this study the integration and use of the largest possible amount of data obtained is given, where the variation of the abrupt conductivity and resistivity of the subsoil will be reflected in the sources of contamination by leached fluids, due to the fact that the physical properties of the fill materials during their activity present different geological formations. The main axis of the research is geophysical prospecting as a fundamental tool to find the distribution in subsoil resistivity factor. In this way, data was collected in the area longitudinally and transversally, with the data obtained the construction of the resistivity profiles was carried out and three areas with different resistivity’s were identified, the first ranges from 10-80 Ohm, the second from 80-320 Ohm and the third from 320-4100 ohm. Each grouping of resistivity’s by zone was cataloged as a different lithology interpreting them as clayey sands, sandstones and quartzite’s respectively..
Evaluation by remote sensing of the expansion of the Palcacocha Lake and glacial retreat in the Cordillera Blanca –Peru.
The increasing formation of glacial lakes and their expansion in recent years increases the risk of alluviums due to glacial lakes outburst floods in high tropical mountains, such as the one that destroyed part of the city of Huaraz in 1941 in the Cordillera Blanca, of the central Andes of Peru. Given the danger faced by the more than 130,000 people who inhabit the alluvial fan of Quilcay River, were analyzed the interannual variation of the surface of the Palcacocha Lake, the glacial surface of its micro-basin and the variation of the surrounding climate between the years 1984 and 2022, to determine the relationships that would exist between these variables, as an indicator of the risk of flooding due to overflow of the lake. For this, the surface of the lakes and the area of the glacier were calculated with multispectral Landsat images and compared with the result of the processing of meteorological data from the Recuay, Milpo, and Anta stations, using the data obtained from the Google Earth Engine application and data reported in bibliographic sources, for validation. A period of strong expansion of the lake was found until 2012 and a trend of loss of glacier surface0 in addition, to a strong relationship between the expansion of the Palcacocha lake and the annual increase in global mean temperature. Likewise, a strong El Niño-Southern Oscillation event led to the growth of Lake Palcacocha due to increased rainfall and greater glacier retreat.
Contamination of Karstic Aquifers by Infiltration of Milk Serum, Caseríos San Francisco, Florida and Vigaspampa, Celendín – Cajamarca 2022
The objective of the present investigation is to determine the level of contamination of the karstic aquifers by infiltration of whey in the San Francisco, Florida and Vigaspampa hamlets, Celendín province. Cajamarca, Peru 2021. For which the mapping of the study area was carried out, to determine the calcareous formations, as well as the elevation and/or depressions that favor the emanation of the springs, to later be complemented by the sampling of 3 springs specifically located in each hamlet, thus, to later carry out the physicochemical, chemical and biological analyzes of the samples sent to the laboratory. Later, with the database, the Easy Quim 4.0 Software was used to appreciate the graphs that show the polluting variations of the analyzed waters, using the Piper and/or Schoeller Diagram. Then, a comparison of the three test points was made, in order to be able to recognize the contamination of the groundwater, since the results obtained from the laboratory were evaluated, with the environmental quality standards (ECA) established by the Peruvian government in the Supreme Decree No. 004-2017-MINAM which establishes the national standards for the environmental quality of category A1 water in the Peruvian territory, in addition to the maximum permissible limits (LMP) DS No. 031-2010-SA for effluents of domestic wastewater, from the housing sector. In this way, the results were found with a contamination much greater than that provided by Peruvian laws, in environmental quality, taking into account the geology of the study area.
Fast-food customer satisfaction. Exploring drivers on people with unhealthy eating habits using the ACSI model
The fast-food industry faces constant criticism for encouraging bad eating habits, especially in the young population. In this market, customer satisfaction represents a key determinant for decision making. Despite the extensive literature on customer satisfaction, few studies have focused on exploring the drivers in customers belonging to sensitive or at-risk segments, such as people with poor eating habits. Using the American Customer Satisfaction Index (ACSI) model, a phenomenological and qualitative study was developed through interviews and observation of 18 fast food consumers with marked characteristics of poor eating habits. Our analysis reveals that this group of customers considers the variety and proximity of products, as well as entertainment, ease of purchase and value for money, as drivers of their purchases. At the same time, the empathy and treatment of the staff is seen to consolidate the desire of these consumers. The findings suggest that satisfaction is a retention factor for users with poor nutrition, so new health policies aligned to this sector are required.
IoT application technologies for agriculture in Latin America during the COVID-19 pandemic
IoT digitizes any plant of agricultural processes simplifying the activities0 producing products of higher quality in a set period and optimizing automatic irrigation systems. Evaluate IoT application technologies for Latin American agriculture during the COVID-19 pandemic, through systematic search engine database vision0 obtaining 78 publications between 2019 and 2022, considering 14 studies by inclusion criteria of methodological heterogeneity. The main IoT application technologies for smart agriculture: according to the quantitative approach in dimension 10 3 articles contribute to architecture and 1 to irrigation control0 while in dimension 20 2 articles contribute to environmental monitoring and 4 to efficient water management0 the same in qualitative approach in dimension 10 2 articles show trends of the industrial revolution in food, 2 in automation architecture and 2 in the intelligent decision by artificial vision0 also in dimension 20 2 articles studied trends of industrial revolution 4.0 and 4 intelligent precision agriculture and computer vision. Therefore, quantitative studies were based on experimental applications of data architecture design to optimize water consumption according to environmental conditions0 reviewing in qualitative approach trend documents of the Industrial Revolution 4.0 applying artificial vision.
Reduction of energy costs based on the ISO 50001 standard in refrigeration systems to increase the profitability of an agro-industrial company in Peru
The costs for energy consumption in agro-industrial companies can be equivalent to more than 50% of production costs0 This is why the efficient use of electrical energy is important for the optimization of utilities. The objective of this work is to reduce energy costs, based on the ISO 50001 Standard, in refrigeration systems, in order to increase the profitability of the company. With a proactive diagnostic design, a survey was carried out on the head of operations and an evaluation of the electric motors of the refrigeration systems. It was found that the company did not have an energy management system and that the motors were of low efficiency with an efficiency between 0.6 and 0.8. Within the proposal, an energy management plan was developed0 and the acquisition of three premium efficiency motors with an efficiency of 0.95 was determined. Finally, with the implementation of the proposal, it is expected to reduce energy costs by 20.05% and increase profitability over sales by 6%. In the economic evaluation of the proposal, a VAN of 55,781.51, an IRR of 49% and a PRI of 2.97 years were determined.
Maintenance management proposal based on reliability to reduce machinery failures of the broiler line in a poultry company de Perú
The main objective of the research is to propose maintenance management based on reliability to reduce failures of the machinery of the broiler line of a poultry company. For this reason, maintenance management techniques were applied: criticality analysis of machines or processes, fault tree, mode effect analysis and failures (AMEF). For this reason, the objective of this thesis was to develop a preventive maintenance management plan based on Reliability (RCM), which yielded the following results: failures were reduced by 66%, as a result, availability increased from 86% to 96%, in the AMEF the NPR decreased by 65% ​​with the application of the maintenance strategies proposed for each potential failure mode, the implementation of the reliability-based maintenance management plan resulted in annual savings of 75,799.17 soles due to the reduction of machinery failures.
Teacher training and autonomous learning in students of semester 2022-II
The study made it possible to measure the degree of relationship between the variable Teacher Training and Autonomous Learning in university students. Methodologically, the quantitative approach was followed, with a non-experimental, correlational design, using the survey technique and the questionnaire as instruments. The population consisted of students of the National University of Trujillo in semester 2022-II. The results conclude that: (1) There is a significant relationship (p=0.0000290.01) in the variables studied, likewise the value of the correlation coefficient presented a positive sign, there is a direct relationship, whose strength of association is moderate positive. (2) The results show that 69.4 % of the students surveyed perceive the training of their teachers at the level of outstanding achievement, while 30.6 % perceive it as achieved. 36.1 % show an achieved level of autonomous learning, while 52.8 % are at the achieved level0 and only 11.1 % at the process level. (3) There is a significant relationship (p0.01) between the dimensions of the variable Teacher training and the variable Autonomous learning, in addition the relationships presented positive sign in each pair of correlations, which shows that these relationships are direct.
Effect of the Sin Acoso program on the reduction of sexual harassment in schools, Trujillo-2022
The study made it possible to measure the effect of the "No to harassment" program on students' attitudes towards sexual harassment Trujillo-2022. Methodologically, a quantitative approach was used, whose design was experimental, of the experimental type, using the survey technique and the questionnaire as an instrument. The population consisted of 232 students of the sixth cycle of the Educational Institution, N°13003 "Virgen del Carmen". It is concluded that: (1) The students' attitudes towards sexual harassment after the application of the "No Harassment" program showed a significant change (p=0.0056370.05), evidencing a significant difference in the scores obtained between the evaluation phase (before and after the application), therefore, the program had a significant influence on the students' attitudes towards sexual harassment. (2) In the dimension Behaviors of a sexual nature, a Wilcoxon test significance p-value (p=0.002630.05) was evidenced in the comparison of scores (before and after) of the program implementation, consequently, the program had a positive effect. (3) In contrast, a p-value of significance was found in the dimensions Behaviors of a sexist nature (p=0.410838>0.05) as well as in the dimension Myths about Sexual Harassment (p=0.137252>0.05), thus establishing that the program did not have a significant influence. ey words: sexual harassment, no harassment, secondary education, attitudes towards sexual harassment.
Effectiveness of virtual university education strategies in times of covid-19
The study made it possible to measure the effectiveness of virtual university education strategies in times of Covid-19. Methodologically, a quantitative approach was used, whose design was non-experimental, of a descriptive type, which used the survey as a technique and the questionnaire as an instrument. The population was made up of higher-level students from the universities of the Piura Region in the year 2022. The findings conclude that: (1). With training for teachers, administrators and students, the use of technology becomes a competitive advantage. (2). The teacher plays a key role in strengthening virtual education, promoting teamwork, flexibility, and demand. (3). It is in the hands of the teacher to provide induction support to ensure a healthy academic environment. (4). Under the perception of the student, virtual education does comply with consolidating the competencies and objectives of the course. Finally, 56% of the students who participated in this study present a medium level of satisfaction with virtual university education and 44% a high or high level. These results ratify the good performance and the optimal level of adaptation that this group of universities located in the northern part of Peru have been incorporating.
Manufacturing process of biodegradable casing from coconut husk fiber
Nowadays, there is a growing concern about the environmental impact of the use of non-biodegradable materials such as plastic for the production of bags and packaging. Therefore, it is essential to look for alternatives, such as the use of natural fibers from fruits or vegetables, specifically coconut shells. This material is sustainable and the way in which its use is proposed is as ecological packaging, since it would help protect the environment by avoiding environmental pollution. The present study analyzed the physical, chemical and mechanical properties of coconut fiber to determine a process for manufacturing eco-friendly packaging. In addition, tests were conducted to observe how well the fiber absorbs and elongates in different random samples. This information helped to create a prototype of an ecological packaging made with coconut fiber. As a result, it was found that this is an optimal type of fiber to produce ecological packaging because it is easily absorbed and stretched, has a high resistance to mechanical forces and can also be degraded by bacteria, which makes it a good option for the storage and packaging of objects due to the benefits offered by the use of coconut fiber.
DAR strategy, with a neuroscientific approach, improves the critical thinking of higher education student
This article shows the most relevant of the research, whose objective was to determine the influence of the DAR strategy: deconstruction, abstraction and reconstruction with a neuroscientific approach for the improvement of critical thinking. The theoretical foundation lies in cognitive neuroscience, brain plasticity, cognition and long-term memory. A quasi-experimental design was chosen for a sample of 48 students of Initial Teacher Training - FID of Primary Education. For data collection, an observation sheet was constructed and applied, which served to quantify the dependent variable: critical thinking. This instrument was validated by expert judgment and, for its reliability, Cronbach's alpha coefficient was produced. The results show that a large percentage of students in the experimental and control groups were located in the level in process, before the application of the stimulus. However, after it was applied, a large percentage of the experimental group was located in the achieved and outstanding levels while the results of the control group remained unchanged compared to the pretest. The hypothesis was also tested using the Mann-Whitney U test, obtaining a value of (p-value =0.000), indicating a significant difference in the arithmetic means between the GE and CG therefore, the null hypothesis was rejected and the research hypothesis was recommended.
HACCP system management and productivity of restaurants in Lima Metropolitana, Peru
The Hazard Analysis and Critical Control Points (HACCP) system is a tool used in the food industry and in the catering sector to ensure the safety of processed foods and its implementation brings with it a better use of raw materials. The purpose of this doctoral thesis is to determine the management of the HACCP system and its influence on the increase of productivity in food service establishments in metropolitan Lima in the year 2020. The study uses a quantitative, correlational, descriptive, non-experimental approach. The sample consisted of 28 restaurant workers who are part of the team that designed, implemented and obtained the certification of the HACCP system of their establishment. For the collection of quantitative data, the HACCCP System Management questionnaire was applied. The analysis of the data shows that 100% of the respondents consider that the management of the HACCP system in their establishment is very good (67.9%) or good (32.1%). Regarding the productivity variable, it was observed that 64.3% consider that their establishments have high productivity indexes and the remaining 35.7% very high. The Spearmam bivariate correlation statistical test showed a correlation index of 0.923 (p = 0.000) between the two variables. It is concluded that there is a very high positive correlation between HACCP management and productivity of food service establishments located in Metropolitan Lima in the year 2020.
Digital competence of the university teacher. A systematic literature review 2015-2022
This work is developed with the objective of making an overview of existing publications on digital teaching competence, with the addition of establishing and identifying the existing conceptual frameworks in such a way that we can later carry out a measurement of the digital competence of the Peruvian teacher.. The search for published articles began, considering criteria such as: maximum six years of seniority, review in indexed databases and magazines related to education, keywords related to digital teaching competence, articles in Spanish and English, publications in English and Spanish, Publications in Latin America and Europe. Then we proceeded to analyze and evaluate with an adaptation of the prism methodology, reviewing whether the articles that contained information related to the select topic. After detailing the existing digital competition frameworks in Europe, it was found that some have also been applied in Latin America. Although we find that there are still countries such as Peru that still does not have an approved frame of reference that allows the development of digital skills of teachers and that above all allows to know the baseline that allows subsequently elaborating a plan for the development of the Teaching digital competence oriented to close existing gaps and create a relevant and contextualized training offer to Peruvian reality. This systematic review is carried out as part of a doctoral thesis.
Software for educational accessibility in students with disabilities, a systematic review of the last 10 years
The present study aimed to analyze the development of software with educational accessibility in the last ten years, oriented to each type of disability, sources of publication, country and year of study, target educational level, types of software and tools used for its development and database management. To this end, a systematic review was developed with inclusion and exclusion criteria, with the methodology adapted from PRISMA. We selected 35 studies that met the inclusion criteria. As the most relevant results and conclusions, it was obtained that the largest number of studies come from Ecuador with a significant advantage over other countries. The disabilities with the greatest attention were intellectual or cognitive disability (33%), followed by visual impairment (31%) and hearing impairment (17%), which require greater attention and support in learning. The educational level with the highest development was the primary level, for children with disabilities (73%). The educational areas with the greatest reach were communication (37%) and training of learning skills and abilities (26%). The type of software that stood out was the web application (23%), followed by the mobile application (17%). The most used development tools were SDK, LabVIEW and Python, and MySQL, SQLite for database management.
Análisis de la gestión del conocimiento emprendedor como parte del desarrollo de la formación vocacional emprendedora en un modelo de gestión del aprendizaje en incubadoras
There are knowledge gaps regarding the transition from learning towards the sustainability of entrepreneurship projects, among them are the empirical exploration of the learning processes and the results involved in the potentiation of intrapersonal and interpersonal skills of entrepreneurs when they start your entrepreneurial project. The incubation process of a business idea in its preliminary stages allows us to understand the entrepreneur even more from individual perspectives, influencing behaviorally on it, and naturally with scope in the other stages of an incubator. Thus, the pre-incubation stage is critical and yet its study has been limited, increasing unsustainability in various ventures. Variables such as the intangible strategic resource, which can be used to develop a company's capacity and strategy, and in turn determine its position in the competitive market environment, have not been optimally developed. The purpose of this research is to analyze entrepreneurial knowledge management as a factor that affects the dimension of entrepreneurial vocational training, within the framework of a learning management model in incubators for entrepreneurs. For this, a probabilistic sample of enterprises in Colombia was selected, taking into account the size of microbusinesses from different sectors of the economy, in which the information is analyzed through statistical techniques of multivariate analysis. It is verified how the entrepreneurial knowledge management variable is determinant in a learning management model in incubators for entrepreneurs, in the sense that it allows the entrepreneur to take risks and take advantage of various situations in a positive way when starting a business.
Aporte nutricional y aceptabilidad de una bebida nutracéutica a base de tumbo (Passiflora mollísima) fortalecida con extracto de arracacha (Arracacia xanthorrhiza)
El objetivo de esta investigación fue establecer parámetros tecnológicos que maximicen el aporte nutricional y buena aceptabilidad en el proceso de elaboración de una bebida nutracéutica a base de tumbo y arracacha, se realizó la selección, clasificación, lavado, escaldado(65°Cx5min),extracción del zumo de arracacha amarilla, extracción del zumo de Tumbo Serrano sin semillas e impurezas, y filtrado para la formulación de la bebida nutracéutica se consideró las proporciones 25:45, 20:48 y 15:50 (Tumbo: Arracacha).Los parámetros de procesamiento fueron, pasteurización a 85°C. por 15 minutos, sólidos solubles: 13±0.06°Brix, pH:3.9±0.01.Para evaluación de la calidad fisicoquímica se realizaron los ensayos de vitamina c, calcio, proteína y hierro. Los resultados de estas evaluaciones fueron procesados empleando el software Minitab 18.0 y Excel, mediante el análisis de varianza y, cuando existió diferencia significativa, se empleó la prueba de Tuckey.Los resultados reportaron que la bebida que presentaba una mayor aceptabilidad sensorial fue la de formulación 15:50, la misma que presentó un contenido de vitamina c de 69.9mg de ácido ascórbico/100 ml. ,32.9 mg/100 ml. De calcio, 2.03 g/100 ml. de proteínas 1.41 mg/100 ml. de hierro y de energía 95.8 Kcal/100 ml. Finalmente los análisis microbiológicos efectuados a la bebida indicaron que ésta era inocua. A manera de conclusión, se puede indicar que con una formulación de 15:50 de (tumbo: arracacha) es posible elaborar una bebida nutracéutica de alta aceptabilidad sensorial y que cumpla con los criterios microbiológicos de calidad sanitaria exigidos en la RM-591-2008-MINSA/DIGESA.
Evaluation of the eutrophication level of the Cañoncillo lagoon, La Libertad, Peru.
The present research was carried out in the Cañoncillo lagoon located in the district of San Pedro de Lloc, Province of Pacasmayo, Department of La Libertad. The objective of the research was to evaluate the eutrophication level of the Cañoncillo lagoon. To achieve this objective, five sampling stations were identified along the water body, where in situ parameters such as pH, temperature, dissolved oxygen, electrical conductivity and water transparency were measured. In addition, two samples were collected from each point at different depths (1 m and 3 m) using a hydrographic bottle. Nitrates and phosphates were analyzed from each sample by the colorimetric method and chlorophyll-a by the trichromatic method. Two indices were then applied to determine the level of eutrophication of the lagoon: the Nutrient Eutrophication Index (EI) of Karydis et al. and the Trophic State Index (TSI) of Carlson, modified by Toledo et al. The results indicated that the pH of the water at 1 m depth presented values between 7.94 and 8.15, and at 3 m between 7.83 and 8.20 the temperature at 1 m depth between 22.1 and 22.8 °C, while at 3 m the data varied between 22.2 and 23. 2 °C dissolved oxygen at 1 m depth presented data between 5.45 and 7.63 mg/L and at 3 m between 3.82 and 8.17 mg/L electrical conductivity at 1 m had values between 393 and 404 µs/cm and at 3 m between 298 and 412 mg/L, nitrate concentration at 1 m depth varied between 0. 39 and 1.40 mg/L and at 3 m between 1.07 and 2.10 mg/L phosphate concentration at 1 m depth ranged between 0.08 and 0.18 mg/L, and at 3 m between 0.13 and 0.20 mg/L chlorophyll-a at 1 m depth presented higher concentrations than at 3 m. On the other hand, from the application of the EI, a value of 2.23 was obtained for nitrates and 0.94 for phosphates while the EIT for transparency was 38.449 and for chlorophyll-a 66.77. Finally, it was concluded that the eutrophication level of the Cañoncillo lagoon was oligotrophic based on nitrates, phosphates and transparency and eutrophic based on chlorophyll-a, thus identifying that the proliferation of aquatic plants is not directly related to the concentration of the nutrients analyzed.
Property Appraisals with Multicriteria Analysis in Urban Buildings in the Historic Center of Cajamarca - Peru
The present study is justified in the acquisition of real estate at present, its objective is to analyze the appraisal process applying the valuation methods by multicriteria analysis in the historic center of Cajamarca (ZT1) It is a non-experimental investigation, various methods are used in the data analysis process, the results will be developed according to the characteristics of the property to be appraised and the most probable market value, in order to demonstrate the multiple benefits of multicriteria analysis. In the multicriteria methods, the Baricentric method was analyzed, which gave us a value per square meter in a range of "1,485.31 U.S.$/m2" to "1,542.43 U.S.$/m2", by the Entropy method, a value of "1,491.89 U.S. $/m2", in the Diakoulaki method, a value of "1,491.80 U.S.$/m2", with the Weighted Sum method and applied to the Entropy method, a value per square meter of "1,467.76 U.S.$/m2" was obtained, and applied to the Diakoulaki method, the unit value is "1,491.42 U.S.$/m2". As a result, we conclude that the Manhattan distance method together with the Baricentric method helps us to improve the appraisal process by 98% effectively.
Quality of teaching perceived by students of an Ecuadorian institution of higher education
This research determines the student perception of the quality of teaching in an Ecuadorian institution of higher education. An instrument consisting of 22 items, adapted from Alvarado-Lagunas et al (2015), was used, which evaluates the perception that students have of the multiservices offered by the University in the teaching process, through variables associated with four dimensions: physical component, teaching staff, teaching ability and integral development. The instrument was applied to a sample of 175 students. The results indicate a good level of perceived quality of teaching in the institution and the factors that strengthen and weaken the system. It highlights the importance that students give to the physical facilities, equipment and staff that the institution has, the ability of teachers to provide education, among others. In addition, the results of this study suggest a significant relationship between the perceived quality and the degree of satisfaction with the teaching offered by the university.
Mobile application to digitize handwritten patient records in peruvian public hospitals
This research has shown that public hospitals need a digitization model that allows the availability of medical records for patient medical consultation within a repository that unifies their medical information. This article presents MEDREC APP, a mobile application aimed at public hospitals of the Ministry of Health (MINSA), in order to expedite the immediate obtaining of the medical history in digital format, and to visualize their medical care. The main function of this solution is based on Optical Character Recognition (OCR) as a text extraction process by capturing images of handwritten medical history formats and registering them within the mobile application in digital format. As part of the validation process, indicators were defined, surveys and interviews were conducted with our users of the application: the medical staff. The results obtained show that the average time to obtain a medical history was reduced from an average of 25 to 20 minutes to 6 minutes, which means a reduction of 14 minutes, equivalent to approximately 70%.
Database management of the control of a thermoelectric power generator through a river water treatment process
In this article we address the issue of database management for the control of a thermoelectric power generator through a river water treatment process. The management process has been carried out using the Microsoft ACCESS database platform. In this research work, database management is similar to a SCADA system, which is generally used for the management, supervision, auditing and control of a network of industrial processes. In a similar way, our database management system has been used to carry out the simulation to audit and control process variables such as: voltage, current, level of stored water, level of treated water for consumption, steam pressure, level of temperature, levels of electrical consumption, as well as the results of the management of the work of the technical and administrative personnel, among others. In this work we show another alternative for the management, supervision, auditing and control of an electric power generator and at the same time for river water treatment for domestic use, given the scarce energy resources and limited supplies of treated water.
Digital marketing and consumer behaviour of the Uber brand in Peru
The main objective of this study was to determine how digital marketing influences the consumer behavior of the Uber brand, Lima Metropolitana 2021. In that sense, a non-experimental methodological design of cross-sectional, quantitative approach and explanatory level was used, considering as the study population the inhabitants of the city of Metropolitan Lima between the ages of 18 to 55 years old, considering a sample of 385 people. Therefore, the survey technique was used through the questionnaire as an instrument for measuring the variables, on an ordinal Likert-type scale, which presented a high level of overall internal consistency (Cronbach's alpha = .983) and content validity by expert judgment (Aiken's V = 1.00). It was concluded at a general level that digital marketing does significantly influence consumer behavior of the Uber brand, Lima Metropolitana 2021, demonstrated through Pearson's Chi-square inferential test, with a confidence level of 95% and a significance of 0.000, which confirms that consumer behavior of the Uber brand is explained by the possible actions or influence of digital marketing.
A system for the control of the performance of high level soccer players applying fuzzy logic.
Data analytics systems are increasingly popular as an effective framework for comprehending and enhancing sports performance. Consequently, they are commonly utilized by technical staff in several sports organizations, including national teams and clubs, with positive outcomes reflected in their victories. Nevertheless, accurately measuring the positioning of players remains a challenge. For instance, some technical staff of soccer institutions rely on their empirical knowledge to determine player positions, which can be time-consuming and imprecise. This research introduces FuzzyFootball, a web application intended primarily for soccer technical staff and, to a lesser extent, soccer fans. The purpose of the application is to determine the positions of soccer players on the field using logic that considers each player’s most critical attributes, rather than relying on empirical decision-making. The application’s solution is based on fuzzy logic, wherein quantitative values are assigned to player attributes, providing a performance score for each player in each position. As part of the validation process, indicators were established, interviews and surveys were conducted with defined users. The results indicate that the average time required to conduct a player analysis was reduced by more than 87%. Moreover, since the application’s results are generated using logic rather than empiricism, they are more precise and accurate, which is supported by the satisfaction level of respondents.
BARRIERS AND FACTORS OF FEMALE TECHNOLOGY ENTREPRENEURSHIP IN LOW INNOVATION TERRITORIES IN COLOMBIA
The goal of this work is to characterize the effect of barriers and factors in the creation of New Technology-Based Companies by women entrepreneurs in the state of Atlántico. In the same way, the key barriers, and obstacles that women perceive when participating in entrepreneurship activities, business development and/or creation of technology-based companies were identified, and likewise, the main factors were analyzed that affect female technological entrepreneurship. This research was based primarily on a review of the literature, exploring the different theoretical perspectives and contributions to the knowledge of female technology entrepreneurship and its main factors and barriers associated with family, education, and financial access. A methodology with a quantitative approach was applied, using as a source of information a questionnaire for women entrepreneurs and creators of technology-based companies, which are mostly the ones who run their companies, and applying a method of descriptive analysis to identify the main factors and barriers that affect the creation of a business by women. This study was carried out in a territory of medium innovative performance such as the state of Atlántico, located in Colombia. The main results found in this research indicate that among the factors associated with the context, support for institutions that promote entrepreneurship play an important role Motivational factors include family support, knowledge of technology, and the search for independent autonomy. Regarding financial factors, it was found that women help themselves in their personal name and by participating in calls and/or contests. Finally, the network factors, it was obtained that women entrepreneurs participate in entrepreneurship ecosystems, are linked to business centers, and are supported by entrepreneurship groups and events. For the analysis of the barriers, it was concluded that time limitations and lack of skills are obstacles when starting a business, likewise, insufficient access to capital and insufficient access to financing are barriers that women have when they want to create a business. To conclude, it was found that when women want to create a business, they carry out their idea, however, it was possible to obtain that the very existence of context in terms of access to financing and limitations of the support instrument are barriers that have women at the time of creating a company. It should be noted that women recognize that family support is key in this entrepreneurial process.
APPLICATION OF THE RUSLE MODEL TO CALCULATE SOIL WATER EROSION IN THE LOWER BASIN OF THE VIRÚ RIVER, LA LIBERTAD REGION, 2022
Soil degradation is a serious threat to agroecosystems and landscapes in many countries. These processes are much more intensified in high-intensity episodic rains over cultivated areas. The need to estimate soil loss in a variety of spatial and temporal scales has been recognized, therefore, due to the difficulty it presents for the control of soil loss due to water erosion, as an alternative to a mathematical method is developed, being Thus, the objective of this research work, application of the RUSLE model to calculate soil water erosion, obtaining an average erosion of 57.14 T.ha-1.Year-1 in the lower basin of the Virú river, La Libertad Region, 2022, which discharged into the Pacific Ocean.
Lean continuous improvement in a meat products company
The processes of packaging and distribution of meat products require measures of accident prevention, protection and controlled conservation of inputs and products required by the NTP CODEX CXC 58:2012 and this depends on the resources of trained labor, water quality, adequate facilities, equipment, tools and an adequate work environment. It is for these requirements that it is necessary to apply a technique that not only improves the efficiency of its processes, but also positively changes the habits of workers and allows compliance with current regulations, since this will optimize the sale of products. quality and entry into new markets. This research aimed to implement the Japanese 5S methodology in a food industry company that packages and distributes meat products to increase the efficiency of its processes considering that 90% is done manually. That is why at the beginning of the implementation several unnecessary elements and disorder in the areas were observed. The results showed that 5S are a useful tool to increase organizational performance, improve work culture, process efficiency, etc. After 19 weeks of implementation of the 5S, maximum scores of Seiri (classification) 84%, Seiton (Order) 84%, Seiso (Cleaning) 89%, Seiketsu (Standardization) 87%, and Shitsuke (Discipline) 84% were obtained. The study concluded that the implementation of the 5S allowed a greater commitment of the employees and, in turn, improved the packaging and distribution processes of meat products.
Exploring the impact of fair trade on the agricultural sector of Latin America: A review of the scientific literature
In recent years, the number of agricultural export companies acquiring fair trade certification has significantly increased, aiming to achieve responsible business practices and demonstrate transparent and equitable trade with suppliers and customers. However, fair trade has been subject to various criticisms and controversies in its application in both developed and developing countries, such as its impact on improving the quality of life of small farmers, reducing environmental pollution, and influencing consumer decisions on agricultural products. Academia has approached these issues from different perspectives, approaches, and geographic locations, resulting in various contradictions for the Latin American reality. This study examines the main trends in fair trade, as generated through peer-reviewed publications, in Latin America during the period 2010-2020. The methodology used was qualitative and bibliographic, analyzing the publications using the systematic literature review technique and the VOSviewer software.
Marketing and e-commerce in a service company. An empirical study.
The general objective of this research was to determine how the marketing mix influences the e-commerce of the company Multicolor, San Juan de Lurigancho, Lima 2021. The research had a quantitative approach, basic, explanatory level and non-experimental cross-sectional design. The population under study consisted of 130 customers with respect to the 2020 sales of the Multicolor company, with a non-probabilistic sample by convenience, composed of 80 customers of the company. The applied technique was the survey. The instrument used was the questionnaire, which obtained a Cronbach's alpha of 0.816 for the marketing mix variable and 0.863 for the e-commerce variable, which means a high statistical reliability, and a content validation by experts of 100% for the Marketing Mix variable and 98% for the E-commerce variable, which means a high content validity for the questionnaire. Finally, it was determined that the marketing mix significantly influences the ecommerce of the company Multicolor, San Juan de Lurigancho, Lima 2021, demonstrated through the chi-square test with a value of (64.932) and with a significance level of 0.000 0.05, which clearly indicates that a good execution of e-commerce is determined or explained by a good execution of the marketing mix.
Experimental Assessment of Shear Wave Velocity in Boquete City, Panama, Using Refraction Microtremor Method (ReMi)
Seismic site analysis is an important step on the design of both conventional structures as well as critical infrastructure, such as water supply pipelines, sewers and roads. This article present results of an experimental investigation that used the geophysical method refraction microtremor (ReMi) for determination of shear wave velocities in soil of Boquete City, Republic fo Panama. As part of this research, a field exploration campaign was developed on which ReMi studies were carried out on six points along the David – Boquete Road. Results show that there are different stratigraphic profiles for Bajo and Alto Boquete zones, which is shown by the shear wave profiles obtained. Results of the study herein presented are fundamental in order to be able to develop seismic site characterization, which is at the same time useful for infrastructure design.
FLORA AND FAUNA INVENTORY AS A SUSTAINABLE DEVELOPMENT STRATEGY OF THE KUNTUR WASI TOURIST COMPLEX, SAN PABLO PROVINCE, CAJAMARCA 2022
The present investigation was carried out at the Kuntur Wassi archaeological site, located in the Kuntur Wassi Population Center, San Pablo province, Cajamarca department - Peru. The work was based on the application of the technique of recording species by direct detection. This technique must be understood as a limited or standardized evaluation based on search time In the elaboration of an inventory of flora and fauna, it was considered to recognize the different species present in the area, for the identification of the flora species it is necessary to take into account the existing plant formations and also to inventory the already recognized species, it is necessary to It took into account making a vegetation map in order to work with the topographic base, to proceed to carry out the field work where the species are identified in the field and a herbarium was carried out that intervened in the identification In order to recognize the fauna species, data was collected from private observers and all the information available in the area and finally the field work was carried out, directly collecting the data on the land involved. The instruments to collect information on flora species are the use of base information, mapping of detailed units, size of the sample unit, shape or distribution of sample units, and species description sheets.
Evaluation of the ecological and environmental quality of the water from the Jequetepeque river in the San Juan - Chilete section of the department of Cajamarca.
The present research was focused on the analysis of the water quality of the Jequetepeque river in the department of Cajamarca, Peru. The analysis included the evaluation of the ecological and environmental water quality of the Jequetepeque river in the San Juan - Chilete section, where physicochemical parameters were analyzed (nitrates, nitrites, phosphates, pH, conductivity, temperature, dissolved oxygen (BOD5), fluorides, chlorides, bromides, sulfates, total dissolved solids and turbidity), microbiological parameters (nitrates, nitrites, phosphates, pH, conductivity, temperature, dissolved oxygen (BOD5), fluorides,chlorides, bromides, sulfates, total dissolved solids and turbidity), microbiological (thermotolerant and total coliforms), and the inventory of benthic macroinvertebrates for the application of biotic environmental quality indexes (BMWP/Col, BMWP/Bol and EPT) and the United States NSF environmental quality index. Additionally, the relationship between these parameters and the results of the biotic indices was analyzed. The water was characterized by an alkaline pH and the parameters showed an increasing trend from upstream to downstream. The pH and thermotolerant coliforms did not comply with the Peruvian national water quality standards environmental water quality standards Ds 004-2017 of the Peruvian Ministry of the Environment, in some sampling points (mostly in the Chilete area), in both seasons (low), in both seasons (low water and rain). Three classes, 11 orders and 30 families of benthic macroinvertebrates were found. The final average results of the indexes and AQI in low water and rainy season respectively are BMWP/Col- 67 and 51 BMWP/Bol 61 and 47 EPT 4 and 4 and NSF AQI 59 and 60. It was concluded that the water is moderately contaminated, and there is a concordance and relationship between the results of the physicochemical and microbiological parameters, biotic indexes and the NSF AQI. The main source of contamination in the area is organic pollutants from wastewater and solid waste.
Improvement proposal for cost reduction through the implementation of a quality management system at Induamerica SL
A research work was developed with the purpose of reducing costs through tools of the quality management system in the company Induamerica SL, for which diagnostic tools were used as: Ishikawa, Pareto, Histograms, Control charts, Process capacity and propositive tools, which are: Quality House (QFD), AMFE, DMAIC - SIX SIGMA. A total annual economic loss of S/29,194.60 was obtained and 4 main causes were identified: Lack of operator training, Lack of maintenance, Lack of standardization and Lack of control indicators also, after the proposal was implemented, it was improved in Z: 17%, 24%, 28% and 40%, respectively, and thus a global benefit of S/. 9,239.00 was obtained with an VAN of S/. 5.937,57 and the TIR of 51% demonstrating the viability of the proposed. All this because statistical control tools and the implementation of a correct quality management system significantly improve cost reduction and increase profitability in companies.
Reduction of erosion in a catchment structure in gravelly sandy river beds with gabion protection, applying hydraulic modeling
Downstream erosion of catchment structures is a natural and very common process, most of it is due to the dragging of sediments, erosion, and foreign elements contained in its channel. Therefore, it is necessary to apply protection methods to mitigate the failure process during its useful life of the structure, therefore, the present work focuses on proposing protection methods to reduce the depth of erosion using a gabion with different gravel diameters in the erosion pool downstream of the hydraulic structure. , built on burdensome arene beds. A brief comparison of this dimension was made by applying protection methods to the model and without them, in this way it was possible to evaluate the increase or decrease of the variable mentioned above. The research is based on physical modeling and based on the principles of hydraulic similarity (model – prototype). The results for the Remonta II diversion dam infer that increases in the depth, length and erosion time dimensions are related to gravel diameter and maximum flow rates.
Natural regeneration of herbaceous vegetation post – grassland fire in the Quengo Río Alto hamlet, Bambamarca, Hualgayoc, Cajamarca 2021
The increase in fires in recent years has had multiple consequences on ecosystems, reducing vegetation and initiating erosion processes and changes in natural processes. The causes of fires are considerable in the Cajamarca Region, being human activities directly or indirectly related to these events. The objective of this research is to evaluate the percentage of post-fire plant regeneration in pastures in the locality of Quengo Río Alto, Bambamarca, Cajamarca. To carry out this study, five representative areas were randomly selected with a size of 1 square meter, in order to estimate the values of their parameters (abundance and dominance) after a fire, the purpose of which was to enable cultivation areas, eliminate residual vegetation cover and control any type of weeds. During six months, quantitative information of individuals found was monitored, which resulted in a rapid process of herbaceous plant regeneration equivalent to 77.4% of the total herbaceous plant species found at the beginning, with Lachemilla Orbiculata as the dominant species, representing 40.5% of the herbaceous plant species.
ZnO nanoparticles and their effect as nanofertilizers: In vitro evaluation in Chenopodium quinoa seeds.
Nanotechnology has been showing potential applications in various areas of research. Thus, at the crop level, new mechanisms are being found that help the plant in the absorption processes and result in a substantial improvement in the processes of growth speed, improvement of its physiological, biochemical and high biocompatibility traits. The objective of this research was to investigate the influence of the concentration of biogenic zinc oxide nanoparticles (ZnO NPs) on the in vitro germination process in quinoa (Chenopodium quinoa) seeds. The nanoparticles used showed a spherical type geometry and sizes up to 5.36 nm. The results show the stimulation of the nanoparticles in the germination rate between treatments, in addition to a remarkable and better root development. No phytotoxicity samples have been evidenced.
Deep Learning for the Detection of Covid-19 Through Test Image Analysis Fast
Currently, rapid tests for the detection of COVID-19 are a very useful mechanism and used as an option for the rapid detection of an ongoing infection by COVID 19, since other diagnostic methods are more complex, and require analysis, time and resources. In the health area, it has been decided to use artificial intelligence tools that help detect symptomatic and asymptomatic patients, to prevent future spread. Convolutional neural networks (CNN) are the most convenient since they can learn by themselves to identify features within images. However, it is necessary to train a convolutional neural network using image datasets. Since there is a small dataset of just two thousand images, a technique was used to randomize and rescale the images to greatly increase the dataset and use it as training data in a CNN, thus enhancing its performance. By obtaining the generated images, a CNN model was created, which was carried out in the Google Colab environment, using the python programming language and machine learning libraries such as Keras, Tensorflow and OpenCV, through automatic learning the model learned to predict by classification, obtaining an accuracy of 97% in prediction with a loss of 6.69% and without having fallen into overtraining, its use was recommended since its level of generalization reached 84%.
CRAFT ACTIVITY DURING AND POST-PANDEMIC UNDER THE FOCUS OF THE ORANGE ECONOMY
This document will show the variables that significantly affect the economic activity of handicrafts in general and in the post-pandemic period. This craft activity is an important item for many regions, being carried out with ancestral knowledge transmitted from generation to generation. The study was carried out through the multivariate analysis of multiple correspondence, with data obtained from surveys and interviews applied to artisans from the municipality of Ráquira Boyacá - Colombia, as a representative sample of the behavior of the sector. With the data and the analysis carried out, it can be concluded that this sector has great potential to take advantage of the benefits of the orange economy after the pandemic, but for this to be possible, they must be trained and taught how to access said benefits contemplated in the Law in different countries
Influence of the concentration of iron oxide (FeO) nanonutrients on the germination process of Chenopodium quinoa
At present, the agricultural sector has become dependent on the use of synthetic fertilizers, with the aim of supplying nutrients and promoting the productivity of various crops. However, its prolonged application has been shown to be detrimental to the soil and the microbiome. Nanotechnology is presented as an efficient and ecological alternative as nanonutrients, which allows the slow and sustained release of nutrients. This research evaluates the influence of the concentration of iron oxide nanoparticles (FeO NP) in the germination process of Chenopodium quinoa. The nanoparticles were obtained by a sustainable method, achieving high monodispersity and spherical geometry. The application as nanofertilizers showed a significant effect compared to the control sample, which allows us to determine that the size of the nanomaterial promotes the improvement of nutrient absorption mechanisms, in addition to contributing at an elemental level to root development and germination rate.
Sustainability Analysis of the Electrical Microgrids Projects in Peru
Due to the impacts of climate change, one of the most promising strategies is to promote the intelligent use of technology based on renewable energy sources. One such strategy is the development of small-scale electrical systems, known as microgrids, which have the capability to utilize these clean energy sources. This paper analyzes 37 case studies from remote locations in Peru to determine the optimal design of microgrids (MG) and their environmental impact, while taking into consideration associated costs, geographic location, and demand characteristics. To achieve this goal, an optimization process is carried out using the HOMER Pro software, which aims to size the microgrid to the minimum net present value. This analysis considers five scenarios: demand connected only to the grid, MG connected to the grid without energy sale price, MG connected to the grid with energy sale price, isolated MG system, and isolated demand with a diesel generator. Subsequently, a calculation process is conducted using MATLAB software to map, determine, and compare the emissions of each case.
Proposal for Improving the monetary loss due to a problem in Quality Management in The Company NEPT COMPUTER S.R.L. Trujillo, 2023
The purpose of this research is to present a Proposal for Improvement in Monetary Loss due to a Problem in Quality Management in the company NEPT COMPUTER S.R.L Trujillo, 2023. Where an exploratory and descriptive study was carried out, and the application of QFD-Casita of Quality, AMFE Matrix, Six-Sigma for each root cause that arose in the company, and thus increase its profitability with its resources. The objective is to analyze the proposal for improvement in the monetary loss due to a problem in quality management in the company NEPT COMPUTER S.R.L. The proposed hypothesis is the determination of the proposal for improvement in the monetary loss due to a problem in quality management in the company NEPT COMPUTER S.R.L. Its dependent variable is the monetary loss and its independent is the proposal for improvement in quality management. Likewise, the investigation used the Ishikawa Diagram to find its 5 root causes such as a lack of maintenance in its equipment, poor sales planning, absences in the guarantee module, inadequate distribution in the warehouse and its inefficient training of personnel. In the Pareto Diagram, two out of five root causes are found due to inefficient staff training with 50.97% and poor stock rotation with 47.32%, and this due to a poor orientation to the business approach, however, it is gave a solution thanks to the improvement proposal. In results we have obtained a benefit of S/ 121,305.00, therefore, it is concluded that an implementation of improvement proposals with quality tools in the company NEPT COMPUTER S.R.L reduces its costs and thus contributes to a good use of it.
Women inspiring women in STEM professional careers: Journeys from Latin America
Achieving gender equality and empowering women and girls around the world is one of the Sustainable Development Goals (SDG) defined by the United Nations. Women are underrepresented in leadership roles at a professional level. Within the engineering and sciences sectors, the gender gap is notorious. There are several initiatives working towards promoting STEM vocations and inspiring women to pursue a professional career in STEM. The Matilda Latin American Open Chair is an academic space that brings people together to promote the participation of women in STEM careers, grow their skills, retain them, and help them to reach their full potential. The Matilda Chair is a collaboration of persons and institutions in Latin America. This work analyzes the fourth book titled “Matilda and Women in Engineering in Latin America 4” which integrates the journeys, stories, and experience from women in STEM to encourage other women to pursue careers in STEM, to further promote gender equality and diversity in these areas. The study analyzes the authors´ profile to understand their context and motivation to be part of the book and suggest strategies to hopefully engage more women in this effort. This work also analyzes the main messages given in each article of the book to understand what is relevant for women, the main challenges they have faced along the way and what advice and learning they share with the readers. Integrating these valuable experiences, their advice, and reflections, elevates the voice of women engineers to give them more visibility and inspire other women to follow their path.
“Lean Computing: The impact of Industry 4.0 for an improvement in the management of internal attentions in the IT support area of a Financial institution”
union of two well-known methodologies, but together, that is, the Lean Management methodology and the Cloud Computing methodology. The union of these two methodologies, Lean Computing is born, which will help to know what its impact is with industry 4.0 to improve the management of internal attentions in terms of a financial institution. The methodology used for the development of this topic is of the applied type, it has a pre-experimental quantitative approach based on a study group, both pretest and posttest. Likewise, it has an application link since it requires a positive transformation of the problem. After the application of this methodology, it was obtained that productivity increased by 52%, the cost gained by 68%, while the invested cost decreased by 38% and the lost cost by 55%, all of these comparing the results. of the pretest and posttest taken in a period of time of 30 days. With these results it can be seen that the implementation of this new methodology has positive impacts and is of great help to the entity under study.
Intelligent predictive model applying Data Mining strategies for a credit evaluation of a commercial company
This scientific article presents a predictive model developed by the Orange software, to evaluate the credit capacity of clients, through their transactions of a commercial company, with the objective of preventing delinquency and lack of cash flow. The model is guided by the SEMMA methodology and uses neural network, logistic regression and decision tree algorithms, and its accuracy was measured by performance indicators. The results showed that the decision tree algorithm achieved an accuracy of 99%, which demonstrates the efficiency of the model and the prediction if the client will comply with the payment. In addition, a significant decrease in the time required to assess the creditworthiness of clients was identified after the implementation of the intelligent predictive model. Before the model, 9 human operations were required to assess credit, while after the model it was reduced to only 6 human operations. This translated into a reduction in operating time of 33.33%. In addition, the implementation of the predictive model also made it possible to significantly reduce the time required to complete the first workflow. Before the model, the collection process could take from 60 to 240 days, but after the implementation of the model, the collection time was reduced to only 60 days. In addition, the implementation of the model was also able to completely eliminate delinquent customers, indicating a significant improvement in the company's credit risk management and productivity improvement.
PREVENTIVE MAINTENANCE MODEL TO IMPROVE MAINTENANCE MANAGEMENT IN A LABORATORY CENTER OF A SCHOOL OF ENGINEERING
Contribute with a maintenance management model that allows improving the effectiveness of the service.
Using ZMET to explore brand awareness of creative entrepreneurship trade fairs
Trade fairs have become a key factor in the promotion of creative and artistic industry ventures. Despite their importance, little is known about the attributes that shape the image of these events in the consumer's mind. Adopting the eight steps of Zaltman's Metaphor Elicitation Technique (ZMET), this study empirically examines the attributes and inner meanings of brand awareness through the metaphorical expression of its users. The results provide 11 thematic categories, including diversity, experience, styles, positive emotions, small universes, among others. The findings allow establishing new perspectives for marketing management for the creative industry in the future.
Design of SMARTER multi-criteria model to improve the productivity of the Order-picking process: computational simulation
Herein, it examines the current situation of the order-picking process in the low-turnover area of a cosmetics company. The existence of long travel times for the search and selection of products is verified. The primary purpose of this study is to design and computationally validate a multi-criteria model to increase the productivity of the order-picking process in the low-turnover area. The case study is based on products stored for a commercial cycle (c.a. 17 days). The spatial location and the selection times of 20 products were analyzed by mathematical criteria. As a result, new spatial distribution and lower travel times within the picking process are reported. Subsequently, a computational validation of this multi-criteria model was performed by Arena simulation software. All possible variants that could represent the order-picking process in the low turnover were analyzed and compared, concluding that productivity increased by 19% with productivity increased by 19% with this multi-criteria model without generating additional costs for the company.
Model for reducing defective production of PET Bottles through Lean Manufacturing
This article aims to bring out the importance of reducing defective products in a company that blows polyethylene terephthalate preforms for the manufacture of plastic bottles located in the city of Huanuco in Peru. The problem that arises with the generation of defective products is that they harm the economic and environmental aspects. Therefore, this article proposes a model for the reduction of defective production through the application of Lean Manufacturing tools. This model was developed mainly using SMED and TPM tools. In addition, integrating other tools such as FMEA and 5S was considered to achieve better results in reducing defective production in the company and thus eliminate the economic losses they cause. The model was validated using simulation software, and only for the 5S was a pilot carried out the results obtained were a reduction in the level of defective production by 2.41% due to improvements in maintenance management and work methods.
Validity and reliability of an instrument to measure women's empowerment.
Abstract– The United Nations organization affirms that empowerment is necessary for equality and development it establishes it as a sustainable development objective. The purpose of the study was to determine the evidence of validity and reliability of the questionnaire for measuring empowerment among women in the province. The study population was made up of women between 15 and 50 years of age in the province of Trujillo. The calculation of Aiken's V coefficient was used to demonstrate the validity of content, to review the internal structure, the factor analysis method was used, finding a new factor structure of 7 dimensions and 2 items that did not meet an adequate factor weight were removed, establishing a total of 42 items in the instrument, which explain 60% of the variance.
Tropical contamination by hydrocarbons: Biotechnological perspective for the remediation of soils in forests, application case Peruvian Amazon, Bagua – Imaza
The objective of the present investigation is to publicize the situation of the forests with respect to the contamination of soils by hydrocarbons. The biotechnological processes applied to soil bioremediation and the feasibility of applying them in the country were investigated. Hydrocarbons are the major contaminants due to their resistance to biodegradation and their ability to bioaccumulate in the soil. In the world it is estimated that around 2,381,000 barrels of oil are spilled per year due to spills. Similarly, only in the Peruvian Amazon there have been 566 oil spills and from 1997 to 2021 87,370.82 barrels of oil have been spilled. All this has caused social conflicts and loss of species. In the case of the Bagua province, Imaza district, Inayo annex that crosses the Norperuano Pipeline, many times due to mismanagement, the pipeline has suffered ruptures and subsequent hydrocarbon leaks. The purpose of the study is to publicize in-situ bioremediation techniques, bioventing, bioaugmentation and biostimulation, and ex-situ remediation techniques such as biopiles and landfarming. As well as the phytoremediation technique. The comparative result of the techniques showed the lines of thought that led to the selection of the most appropriate technique for the Amazonian soil of study.
Proposal for improvement in the production process of fresh green asparagus to increase the profitability of the company agroexports Nathanael S.A.C.
The objective of this work is to determine the influence of the improvement proposal on the profitability of the company Agroexports Nathanael S.A.C. Therefore, the various factors and causes that affect it were studied Also, the economic impact that it causes in the company was recognized. The main causes that affect the company's process are the lack of a calibration and maintenance plan for scales, a lack of distribution of tasks among operators, a lack of standardization of the work system, and a lack of control procedures for the supply of raw material. The engineering methodologies proposed in this research are: QFD quality house, Failure Mode and Effects Analysis (AMFE), Six Sigma process improvement. Which will allow to improve the process of operation of the company. The results of the proposed engineering methodologies are to carry out weekly training for the operators, improve the quality inspection of raw materials when entering and leaving the processing plant, as well as carrying out biweekly maintenance on the machinery. Next, the economic / financial evaluation of the proposal for improvement in maintenance management in the production process was made, resulting in the proposed improvement being viable, since Van is equal to S/.24 236.2, with an IRR of 62.31. %, recovering the total investment in 2.9 years, which is equivalent to 3 years.
Microbasin Hydrological Modeling Located in a High Andean Zone for Monthly Flows Estimation, Using GR2M, Temez and Lutz Scholtz Models
In Peruvian remote areas, hydrometric stations records are limited. This limitation delays study of water resource management in high Andean zone of central-southern Peru. Therefore, in this work, hydrological modeling is carried out in Paucarbamba micro-watershed to generate flows from the pluviometric data obtained from the scarce SENAMHI pluviometric stations. These hydrological models are GR2M, Lutz Scholtz and Temez. After results analyzing, Lutz Scholtz model has a satisfactory fit with the following validation coefficients Nash = 1.00, PBIAS = 5.52 and RMSE = 0.05. In conclusion, for generation of monthly mean flows in Paucarbamba microbasin, Lutz Scholtz hydrologic model has better fit according to validation coefficients analysis.
The TDABC analyzed from the marginal point of view for a manufacturing plant
The proposal is based on relating the TDABC cost and the marginal cost for a manufacturing plant, focused on production cost management. To do this, we will first establish the relationship of the resources towards the groups of auxiliary activities and groups of operational activities, separating them into staggered (fixed) costs and variable costs based on the product or service. Once this assignment is determined, we will distribute the groups of auxiliary and operational activities towards the product or service, duly separated into staggered costs and variable costs in such a way that each group of activities can be assigned based on an hourly rate based on the number of transactions according to the TDABC procedure. We will take into account that fixed costs are assigned based on a rate with restriction since it is a cost limited to a period, different from the variable cost which can be assigned based on the volume of production. With this, we hope to finally distribute the cost of each separate activity group in a staggered and variable cost to the product or service, based on man time, machine time or another transaction, depending on the activity or cost object to be determined.
Entrepreneurship in 18 to 30 year-olds in times of pandemic in Northern Peru
The objective of the research was to determine the level of entrepreneurship in young people from 18 to 30 years old in times of pandemic in Northern Peru. The research was applied, with a non-experimental cross-sectional design. There was a sample of 300 young entrepreneurs between 18 and 30 years of age in northern Peru. The technique used was a survey with a questionnaire of 23 questions applied to each young entrepreneur, in this way the necessary data were collected and then processed in the Excel program to respond to the objectives set. The first result obtained was that the level of entrepreneurship in young people aged 18 to 30 years in times of pandemic, fluctuates between very high and medium, with percentages that together make 85.3%, which indicates that entrepreneurship in times of pandemic in young people has been maintained, since some have been able to seize opportunities despite the circumstances presented to them in these times of crisis. Likewise, 33% of the young people stated that the clothing sales area was the area with the highest level of entrepreneurship, out of 25 areas.
Compressive strength and water absorption percentage of Pleurotus Ostreatus and Ganoderma Lucidum mycelium
Several investigations have demonstrated the compressive strength of mycelium grown on different types of substrates, however, there is room for further research on the compressive strength and absorption percentage of mycelium grown on different types of substrates due to the lack of mycelium growth on some substrates such as pine and mahogany sawdust grown in Honduras in past investigations. Because of this, it is important to investigate the properties of mycelium grown on organic substrates easily found in Honduras, such as pine sawdust, rice husks and hay. The research was carried out with the objective of determining the compressive strength and absorption percentage of mycelium cultivated on maicillo seeds, as well as to determine the growth of Pleurotus Ostreatus on pine sawdust and pine sawdust combined with rice husk and hay. The mycelium used were Pleurotus Ostreatus and Ganoderma Lucidum species. The manufacture of cylinders of Pleurotus Ostreatus mycelium cultivated on maicillo seeds cylinders of Pleurotus Ostreatus mycelium cultivated on pine sawdust and cylinders of Ganoderma Lucidum mycelium cultivated on maicillo seeds has been carried out. Additionally, pine sawdust and pine sawdust combined with rice husk and hay have been combined with Pleurotus Ostreatus mycelium to observe growth. The mycelium cylinders were subjected to compressive strength tests and the percentage of absorption was calculated, from which a comparative analysis was made between the different mycelium specimens, taking into account the results of the previous tests. For the cylinders of Pleurotus Ostreatus mycelium cultivated on maicillo seeds, a compressive strength of 0.03 MPa and an absorption percentage of 43.10% was obtained for the cylinders of Ganoderma lucidum, a maximum compressive strength of 1.91 MPa with a drying time of 3 months was obtained. Results which demonstrate that the longer the drying time of the mycelium, the higher the compressive strength is obtained.
The management of the director and teachers’ feedback, in a public university of Peru
The objective of the study was to establish strategies to strengthen the management of the directors of the Faculty of Social Sciences and Humanities, Enrique Guzmán y Valle National University of Education, through feedback to teachers in times of pandemic. From the data obtained, three solution strategies were proposed: Raise awareness among the management staff in giving feedback to the teacher in the pedagogical actions Train managers and provide technical assistance, accompany, and monitor teachers. Finally, it is concluded that the quality of teaching-learning will improve due to the feedback of managers towards teachers. Keywords: satisfaction users training awareness monitoring.
Towards the prototyping of novel access schemes for IoT networks
With the increasing number of connected IoT devices for 5G networks, numerous access schemes have been conceived in the literature. Although several cross-layer (PHY MAC) approaches have been reported in the literature, some aspects regarding their implementation on testbeds are overlooked. In this work, we address the prototyping of low power wide area (LPWA) networks aiming to fill the existing mismatching performance between theoretical and experimental results. In doing so, the main aspects and current challenges are explored with the prototyping of access schemes using reinforcement learning (RL) techniques. The missing implementation aspects omitted during the modelling of these networks are reviewed and addressed by employing software-defined radio (SDR) approaches. Finally, at the light of the exposed implementations, some guidelines and suggestions for the development of this technology are provided.
E-learning Platform for Handpiece Care in Odontology
The useful life of a handpiece depends significantly on the maintenance given by each odontologist. Not all odontologists perform these preventive maintenance routines correctly and consequently, there is an incidence of damaged handpieces. The objective of the project was to develop an e-learning platform regarding the handling and care of high-speed handpieces based on the study of odontologists in Tegucigalpa, Honduras. The development of this e-learning platform began with a bibliographical review and experts’ advice. A questionnaire was applied to investigate the current practices of odontologists in Tegucigalpa regarding the handling and care of high-speed handpieces. Then, parameters were defined for the selection of the software to develop this platform. Once the platform was developed, it was socialized. Odontologists in Tegucigalpa found that the average useful life of their high-speed handpieces is more than two years. However, only 31.8% of these odontologists base their maintenance routines on the manufacturer's instructions this indicates that the useful life could be shorter. The e-learning platform regarding the management and care of high-speed handpieces was developed based on the study of odontologists in Tegucigalpa. The content of the platform was defined by the lack of knowledge identified in the odontologists of Tegucigalpa and the opinion of biomedical engineers in the odontological area.
Lifestyles and digital entrepreneurship skills of young university students in Trujillo in times of pandemic in 2022.
The pandemic confronted all Peruvians to assume challenges facing the health situation and the changes that emerge from the current globalization, many of the businesses could not be sustained and closed, others changed their line of business and several had to redirect to continue working, however the Peruvian is characterized by being enterprising, ingenious and industrious and so began to use digitization to undertake and make their businesses a new way to deal with the situation that was living and that still affects the economy of all citizens Several of the university students eager to put into practice their knowledge and be able to help in the economy of their homes, have launched their digital entrepreneurship skills, which is why the purpose of the study was to determine the relationship between lifestyles and digital entrepreneurship of university students in Trujillo in times of pandemic 2022, and thus be a reference for the new generations. The methodology used was of causal correlational scope and its design was non-experimental, cross-sectional, correlational. The survey technique was used. The results indicate that there is a direct and significant relationship between the variable Lifestyles and Digital Entrepreneurship Competences with a value of Spearman's correlation coefficient, rho=0.82, and this relationship indicates that the better the lifestyle, the higher the level of digital competences, because the students show a better predisposition to achieve their goals.
Digital entrepreneurship in tourism as an engine of economic reactivation in Colombia: a theoretical approach.
Globalization, the revolution of new information technologies and digital entrepreneurship, has triggered a growth in the tourism sector, expanding to new agents and regions. This situation motivates to conduct research on the challenges and changes in the industry, which is why the purpose of this paper is to analyze the importance of digital entrepreneurship leveraged on technologies and innovation, and its relevance in the economic revival in the tourism industry in Colombia. For its scope (1), we start from a bibliometric analysis supported by the tools VOSviewer 1.6.19, Biblioshiny R and Vantage Point, of 364 documents indexed in Scopus and Web of science, based on the equation (("entrepreneurship*" OR "digital entrepreneurship*" OR "artificial intelligence") AND ("Tourism* Entrepreneurship*" OR "Tourism*")) [2] As a complement, we analyzed technological tools used in the sector, its value proposition and business model. The results show an average growing trend of 43.32%, with the highest scientific production for the year 2022 (121 articles). Similarly, the United Kingdom and China are the countries with the highest level of production and collaborative work. Entrepreneurship, Tourism and Innovation are ranked as Driving Themes, reflecting their importance in recent research. Finally, innovation is a relevant factor in the processes of digital entrepreneurship, influencing in a disruptive way the growth of the tourism industry.
Influence of methodologies on learning disabilities in university students
The methodological strategies of learning assessment of university students are an ongoing problem that always requires a creative proposal that includes the actors of this process. The main objective of the study is to identify and compare methodologies related to the learning problems of university students. For the methodological process of the research, under a quantitative approach, a non-experimental design was carried out, taking as reference the management of educational institutions in which the difficulties that teachers have in the application of pedagogical methodologies in teaching to improve learning and academic performance of university students are identified. In the results, there is a predominance of both medium and high levels, as IS has a high level with a percentage value of 72.2%, on the other hand, competencies social maintains a high level with a value of 57.6%. On the other hand, for the medium level the E with a value of 96.0%, and finally the methodologies learning problem with a value of 57.6%. In conclusion, it was analyzed the strategies obtained by means of investigations for autonomous learning will allow better performance in the study, having a way the applied methodology where takes to have a margin on the part of the students therefore, when having before the implementation of the active methodology of problem-based learning, it is obtained in a range of low and average after the implementation of this methodology that in turn is demonstrated a significant process for percentages of the strategies of learning in that it is fomented in these investigations.
Tensional study in incisor teeth restored with different post bite material and different masticatory forces
The objective of this investigation was to determine and compare the values of maximum equivalent stresses according to the von-Mises(vM) criteria of a post-die restoration in an incisor tooth, using the mechanical properties of two types of materials (fiberglass , NiCr alloy) and 4 chew type force values (100, 150, 200 and 250) N the stress calculation carried out was of a static type, this was carried out using the ANSYS software. In the case of the crown, the data on the properties of lithium disilicate (IPS e.max CAD) were used in addition to this, the properties of the materials corresponding to dentin and periodontium were also used. The first stage of the process The simulation consisted in the acquisition of the 3D model of an incisor tooth, through a scanning process to later reduce the number of elements and perform the smoothing, the Meshmixer software was used, the final file was exported to ANSYS, where all the parts of the tooth considering the recommendations of an endodontic process for the simulation, the chewing forces were applied in an area of 2 mm2, taking into account an angle of 45° with respect to the longitudinal axis of the tooth in addition, the stress results of the restored teeth with the incisor tooth without any type of restoration From the results of the numerical evaluation we can conclude that the post-type restoration stump n that uses fiberglass would have greater chances of success, since the values of equivalent stress are lower compared to when the NiCr alloy is used this is 28.8 MPa and 141.53, respectively for the force of 250 N however, the stress state of the material used as cement (adhesive), in the case of the fiberglass stump post is higher compared to the case that uses the NiCr alloy.
Evaluation of a collaborative management method to reduce internal variability in construction projects.
The growth of the construction industry has allowed the development of new methodologies to improve productivity and project management. Over the years, large companies have mitigated variability in their process workflows by adopting best practices. For this reason, a collaborative management method is developed to reduce internal variability in construction projects. To do this, based on the literature review, a preliminary four-stage method is proposed, with the aim of establishing a flowchart that allows reducing variability by adopting collaborative management tools. This preliminary method is put to evaluation through an expert judgment to verify the reliability and reliability of the questions. Likewise, a focus group is developed to establish improvements in the management tools used in each stage of the method. After evaluating and filtering the preliminary method by professionals with knowledge in project management, the final version of the collaborative management method was obtained with the modifications proposed by experts on the subject. Finally, the results obtained indicated that the final method is reliable to reduce internal variability in construction projects, establishing processes through a flowchart, which are supported by collaborative management tools.
Proposal to improve the commercial area according to Digital Marketing theory to increase sales of footwear in a MSE, Trujillo 2021
The present research had as a general objective to determine how the proposal to improve the commercial area according to Social Marketing theory, CRM, Visual Merchandising and Network marketing influences the sales of footwear in MSE, Trujillo 2021. It began with the diagnosis of the commercial area through the application of a virtual interview. The information obtained was analyzed, and with the help of the FODA matrix and the Ishikawa Diagram, it was determined that the MSE presented economic losses in the commercial area, whose root causes were determined: low profitability of advertising, insufficient delivery service and lost sales due to excessive response time. Based on this, Digital Marketing tools were proposed: Visual Merchandising, CRM, Network Marketing, Social Media Marketing, the time study of the area's operations and the Montecarlo simulation. Finally, it was obtained as a result that the improvement proposal was positive, obtaining an increase in sales valued at S / 424,060 and a B / C of 9.7.
Geometric and Structural Design of Culvert Box in Agua Caliente, Puerto Cortés, 2022.
The community of Agua Caliente located in the municipality of Puerto Cortés is cut off when high intensity rainfall occurs in the area. Therefore, it is necessary to geometrically and structurally design a bridge that allows continuous vehicular access. An initiative is proposed to solve this problem, through a hydrological study to know the characteristics of the micro-basin, carrying out a rainfall simulation through a program, where the following data were obtained, such as the flow of 23.8 m^3/s, the extraordinary maximum water level of 100.28 meters above sea level, as well as providing the study of the soil to determine the mechanical properties in the vicinity of the river. All of the above, in order to analyze the data collection to carry out the design of a box bridge with railings and pedestrian crossing. Which was carried out to define the final geometry of four bridge boxes distributed along the span of the 20m section with a geometry of 4.50m long each, obtaining wall and slab thicknesses of 0.35 meters with a total height of 2.50 meters. remaining 0.50m free inside each box from the maximum level of water reached. The dimensions of the wings of the bridge box are 3.30m with an angle of 140° with respect to the slab and have a diaphragm height of 2.15m and a thickness of 0.35m with a footing of 0.35 thickness, abutment tip of 0.50m and length of the 0.80m heel. With this, it will be possible to solve the vehicular flow and access to the community in all seasons of the year.
Evaluation of the ergonomic risk factors in the use of the manual pneumatic hammer in construction work
This research is focused on evaluating the ergonomic risk factors associated with the handling of the manual pneumatic hammer in civil construction works by applying the Lest Method. With the application of the method in an initial way, it is determined that the most significant factors that affect the operators are the physical load (static and dynamic) and the physical environment (noise) with a rating of 10 "harmful situation" for said factors from a scale from 0-10. Twenty risks associated with the use of the hammer are identified, the most critical being pneumoconiosis, hearing loss, vascular and neurological diseases, and musculoskeletal disorders. To deal with it, controls were implemented such as the reduction of exposure time, the use of specific personal protective equipment to reduce vibration and noise, the optimization of the weight of the equipment, training for operators and the reduction of working hours. Applying the Lest method in a second stage, after the application of corrective measures, it is determined that the assessment of the significant risk factors is reduced approximately by half. It is concluded that this technique is useful for evaluating risk factors in construction activities by making a global diagnosis of multiple factors to which operators are exposed and determining those that are relevant. In addition, it allows determining the effectiveness of the implemented controls, determining that the controls reduced the level of occupational risk.
Model Proposal for the Detection of False Information About COVID-19 Using Machine Learning and Natural Language Processing Techniques
One of the main problems that arose as a result of this health emergency was the circulation of false information on COVID-19. Therefore, the study carried out aimed to find the best classifier of false information on COVID-19 in the Peruvian context. For this, 2022 information records related to COVID-19 were collected through web scraping of websites, Facebook and Twitter, which were manually labeled as True or False and then validated. Natural Language Processing techniques such as Bag of Words, TF-IDF, Word2Vec and FastText were used for feature extraction. Finally, different Machine Learning model were developed using KNN, Decision Tree, Naive Bayes, SVM, Logistic Regression and MLP. The results were evaluated according to the Accuracy, Precision, Recall and F1-score metrics. The best model resulted from the combination of the SVM algorithm (C (0.5), gamma (1) and kernel (rbf)) with TF -IDF of dimension 300 and n-grams from 1 to 2, whose metrics were superior to the others with 87.41% Accuracy, 88.63% Precision, 87.39% Recall and 88% F1-score.
Implementation of the Deming cycle to improve the poultry raising process and productivity in poultry companies
The present research was developed applying the Deming circle methodology and its 4 proposed phases, its general objective was to elaborate a poultry breeding process improvement plan to increase productivity in a company of the poultry sector, 2022. The research was of pre-experimental design and the following techniques were used: documentary analysis and observation. Among the main causes that affect productivity are: lack of updated procedures, inadequate ventilation, poor training, etc. As for the results obtained, we can mention: the increase in productivity by 7.6 (starting at 83.47). The Wilcoxon test showed that the differences in productivity were significant
Study of the improvement of mechanical properties in a low carbon steel ASTM 615a grade 60 due to the formation of tempered martensite
This research work consists of studying the improvement of mechanical properties through heat treatments, especially hardness and impact resistance in ASTM 615a grade 60 corrugated steel. 12 samples were prepared, one without treatment and the others with quenching and tempering heat treatments, different parameters such as austenitization temperature, tempering temperature and tempering time were evaluated. After evaluating the hardness and toughness, it was possible to improve the hardness in the 11 samples and the toughness was maintained at values close to the sample without treatment. In addition, a metallographic analysis and a microstructural analysis were made, where the presence of martensite could be observed, which is a mestastable phase of steels, the presence of martensite may be the cause of the increase in the hardness of the material. The quality of the steel obtained could be used as grinding balls in mineral concentrator machines due to its hardness.
Stress and academic procrastination in students of a Private University Arequipa 2022
Its objective is to determine the relationship between stress and academic procrastination in students of the first cycle of the psychology career of a Private University Arequipa 2022. It is of a quantitative approach, of descriptive, correlational scope, and of a cross-sectional non-experimental design, its sample It is 150 students of the first cycle of the psychology career, to whom two Likert scale questionnaires were applied for each variable, both have reliability and validity. Finding as results that 82.7% of students have medium levels of stress. Regarding academic procrastination, 70.2% present high levels of academic procrastination and 47.1% present high levels in the self-regulation factor. Obtaining a weak positive correlation 0.364.
Hemp Genotype Selection Coefficient to Improve Human Welfare Development
Abstract— The new concept of industrial hemp genetic selection examines the relationship levels of the Human Wellbeing Coefficient (K), and the variables grouped in three dimensions of promotion and protection human health with legality framework. The industrial hemp population was 47 hybrids. Eighteen samples were made for each hybrid during six weeks of evaluation. The Hewlett Packard 1100 HPLC equipment was used to analyze the fresh inflorescence samples during the 2019-2020 agricultural season in Montevideo, Uruguay. The hypothesis test, linear regression analysis, ANOVA, Decision Tree, PCA, HCA and Nearest Neighbor Analysis were used as statistics. The coefficient K has a statistically significant positive correlation with the variable Total Cannabidiols -TCBD (CC = ,978 p .005). It also with the Total Tetrahydrocannabinols - TTHC variable (CC = ,936 p .005) and with the Full Protection Projection -R1s variable (CC = ,979 p .005). It is observed that the K coefficient is negatively correlated with the Coefficient of Promotion – R9. When K values increase, the probability of increasing the promotion and protection of human health is higher (R2=0,99 F(4,841) = 30.974.72 Sig = ,000). Hybrids whose K values >4.82 were selected. From the analysis of PCA and HCA, it has been possible to select the six best hybrids and were grouped into two categories. The first group of superior hybrids. This analysis confirmed the potency of the K Coefficient to select hybrids that contain the highest capacity to promote and protect human health.
Biotrade and Sustainable Business trends in Latin American Companies, Between the years 2015-2022
The purpose of the research below is to determine how biotrade and sustainable business influence companies in Latin America. The sources of information used in the choice of records on a systematic review are: Redalyc, Base, Dialnet, Scielo, Google Scholar, Ebsco. The points of view that were taken into account in the contributions and discards in the literature are: diffusion time, if the investigations had an IMRD (introduction, methods, effects, debate) form. As a result, 30 investigations were selected, in which the most relevant contributions of each author were analyzed and subsequently extracted, then we classified them according to their importance. Finally, we conclude that trends in sustainable business and biotrade manage to maximize benefits in Latin American companies, either in the equitable distribution of profits to the company and the sectors that contribute to it, as well as increasing sustainability within of companies, collaborating with the environment and society
Spatiotemporal analysis of glacial retreat at the Coropuna and Solimana volcanoes in Peru, using NDWI calculation between 1986 - 2022
In recent decades, the deglaciation of tropical snow-capped mountains represents a reduction in water storage for populations, economic activities, and ecosystems that depend on their waters, especially in arid areas such as the foothills of the Ampato mountain range in the department of Arequipa, in the Andes of southern Peru, being necessary to determine the factors that drive it, such as its relationship with global warming and other relevant meteorological phenomena. In this sense, the objective of the research was to determine the relationship between the glacier loss area in the Coropuna and Solimana stratovolcanoes with the variation of temperatures and precipitations registered in the nearest meteorological stations during the period 1986 to 2022. For this, the surface of the glaciers was determined with multispectral Landsat images of each year, using the normalized differential water index calculation in the QGIS software, to correlate with the main elements of the climate of the area. As results of the analysis, a 64% reduction in the glacier area was determined, presenting a stronger correlation with the increase in maximum temperature, compared to weaker relationships with a stable minimum temperature and strongly fluctuating rainfall with a slightly increasing trend. It is concluded that there is a marked trend of glacier mass loss, reducing the Coropuna mountain to less than half of the maximum extension it presented in 1989, being more accentuated in the Solimana mountain that maintains only 4% of the area it had that same year. Likewise, in the previous or initial period of a strong El Niño-Southern Oscillation event, there is a temporary recovery of the glacier area, but it is followed by a period with a strong loss of glacier mass due to an increase in temperature and liquid precipitation during the most intense stage of the event.
Novel Liberalism Coefficient to Improve Human Freedom Development in the World
Abstract— The new concept to measure human freedom examines the relationship of the Coefficient of Liberalism (L) and, the variables grouped in three dimensions: the forces of modern markets, private property and, Institutionality. The analyzed population corresponded to 116 countries. 158 variables were collected per country for 10 years. For the analysis, information from The Global Competitiveness Index Historical Dataset © 2008-2018 of the World Economic Forum was used, with which an Xnxl Database was used with index and coefficient values, country codes, global id, identified series and treatments (Income groups, Regions and Forum classification). The hypothesis test, linear regression analysis, ANOVA, PCA, univariate variance and eta-square were used as statistics. The L Coefficient has a statistically significant positive correlation with the Global Competitiveness Index (R2=0,82 F(1,114) = 516,61 Sig.=,000)) and, it served to evaluate the three treatments analyzed. The means of the income groups differ significantly, F(1,112) = 5,68, p ,001, η2 = 0,14 for the dependent variable of the Coefficient of Liberalism (L). In addition, the means of the Regions differ significantly, F(1,109) = 2,77, p 001, η2 = 0,14. The squared Eta value indicated a large effect of income groups and Regions on the L Coefficient. The five countries with the highest L Coefficient were United States (14,56), Hong Kong SAR (12,63), Singapore (12,60), Canada (12,28) and Germany (12,23). This analysis confirmed the power of the L Coefficient to identify the countries that maximize human freedom.
Quality and integrity of the data used for the measurement of scientific output. Study Case: CvLAC Platform (Colombia)
Each country uses different technological mechanisms for the evaluation of its technological capabilities, however, in the great majority of Latin America, platforms are used that are not very interoperable and that require the input of information by the researchers, who are already bad practices or involuntary errors comment on continuous failures that affect the measurements of countries. For the study case, an information extraction mechanism was developed for the CvLAC platform of the Ministry of Science of Colombia, to obtain data reported by some profiles of researchers. Subsequent to the analysis, a significant failure in the process is evidenced, obtaining that 65.3% of the studied records present errors in the reported data. For the above it was concluded that an interoperable platform is required with systems such as ORCID or CrossRef to automatically select or associate the production of researchers directly from the editorials.
Ethology as a Collaborative Factor for the Reduction of Complaints of Family Violence due to Physical Aggression in Peru
Abstract— The new concept of Evolution Coefficient (E) in Peru examines the levels of Complaints of Family Violence due to Physical Aggression (DVFAF), both dimensions of Ethological Factors'. The levels of the variables of the Collaboration Factors' grouped into three dimensions are also examined: Social, Economic and Human Resources in Education and Health in the 24 Departments of Peru. The dataset © of the National Institute of Statistics (INEI) between 2010 and 2020 is used. Economic inactivity (men and women) and GDP as economic concepts added to the participation of professors and collegiate doctors as human resources available in each territory, destined to calculate patterns of family violence in the national geographic diversity. The E Coefficient maintains a strong correlation with the dimensions of the Collaboration Factors' (R2=0.99 F(11,247) = 2,479.73 p 001), which makes it possible to visualize the levels of family violence. A strong correlation is identified between the E Coefficient and DVFAF (R2=0.91 F(1,262) = 2,478.19 p 001), which corroborates the link between DVFAF dimension and Collaboration Factors' in Peru. In the case of economically active men, 31.88 cases of DVFAF are reduced (R2=0.91 F(1,286) = 2,951.79 p 001). In 2020, 75% of Peru is at least 4 times more violent than in 2010. The value of Eta square, indicated a large effect of the Departments on the E coefficient (F(23,240) = 3.20 p 001, η2 = 0.23). It is recommended to account for the job opportunities of citizens, as well as to train Health and Education professionals around social problems, taking into account the need for a multidisciplinary perspective to reduce family violence in Peru.
Prevention of Health Risks to Personnel Due to Exposure to Chemical Contaminants Produced by Asphalt in the Joint Sealing Process
Two tests (pre and post test) were carried out in order to monitor chemical agents such as inhalable dust, benzene and gases (SO2, CO2, CO and O2), derived from asphalt in the process of sealing joints. The results of the investigation show the decrease in particulate matter (inhalable dust) from 0.67% to 0.007% in the inhalable dust post test. While the values ​​for benzene were of a concentration of 0.000071ppm and 0.0000352ppm for both pre and post test, being values ​​below 0.000227ppm. Finally, the concentration of gases present in the work environment of the preparation of the asphalt mixture, a decrease in SO2 concentration was found from 123.75% to 21.25% in the post test, for CO it had a decrease of 296% at 100% in the post test, that is, the maximum permissible limit was reached, while for CO2 it decreased from 20.5% to 3.5% in the post test, and finally for O2 the values ​​remained at 20%.
Internal Control Blood pressure measurement system for the care of patients at risk of hypertension monitored by mobile application
Hypertension is a disease that causes many annual deaths worldwide, with greater affection in the elderly due to their little physical activity on a daily basis, in addition to being related to various diseases generated by obesity, as well as excessive consumption of alcohol and cigarettes, increasing the number of cases of patients with hypertension due to the confinement of COVID-19, that made people stay indoors without physical activity and increase the eating and sleeping habit, as well as the increase in sedentary lifestyle in patients with high blood pressure who can not perform any physical activity in an energetic way because it could cause death, according to the World Health Organization (WHO) is the fourth risk factor of annual deaths, being important to diagnose patients who are at risk of suffering hypertension to prevent them from acquiring any disorder in their health. In view of this problem, in this article a blood pressure measurement system was performed for the care of patients at risk of hypertension monitored by mobile application and to know the value of blood pressure on the walls of the arteries to determine if the patient has normal or elevated blood pressure. Through the development of the system, it was observed that it works in the best way and allowed us to obtain an efficiency of 98.47%, being an accepted value for performing the process quickly and accurately.
Enseñando en Ingeniería con Competencias Glocales en el siglo XXI
Transitar la Universidad y graduarse implica no sólo adquirir una profesión sino desarrollar una posición ética y moral sobre el mundo que nos rodea y aquél para el cual preparamos a nuestros egresados. Vivimos en un mundo glocalizado, cada vez más complejo, más heterogéneo y más incierto. Formar a los estudiantes de ingeniería implica desde las instituciones y los docentes asumir la necesidad del logro de competencias que promuevan nuevos derechos generados por los nuevos bienes simbólicos que las TIC han ofertado. Por eso, hace falta que la comunidad educativa universitaria entienda la formación de los jóvenes más holísticamente para una industria que tendrá nuevos procesos, productos y modelos de negocios que estarán indefectiblemente atravesados por la digitalización y para la cual no fueron pensados los currículums actuales. Al respecto, se ha avanzado en la investigación de diversas propuestas de enseñanza-aprendizaje y en esta línea, se destaca el Aprendizaje Basado en Proyectos que aporta resultados favorecedores en el aprendizaje de los estudiantes universitarios y en el logro de competencias. Para ello, se necesita una aproximación curricular con una transposición didáctica más innovadora, que facilite a los estudiantes la toma de decisiones, la evaluación de riesgos, tener empatía por el otro, adaptarse a situaciones desconocidas, y preservar sus objetivos, preparándolos para navegar la incertidumbre.
“Green” hydrogen, an alternative as an energy vector in the face of global warming.
Decarbonization is a fundamental part of the global goals in the face of the climate threat. Greenhouse gas emissions are the main cause of global warming. The energy system is responsible for more than 70% of these emissions, and 12% corresponds to the transport of cargo and people through routes and roads. Argentina outlines its future towards a more environmentally friendly use of energy, and green hydrogen is called to be a fundamental player in sustainable mobility, and industrial uses, mainly due to its capacities to store energy in the face of the intermittency presented by the renewable sources. In particular, heavy and long-distance transport appears as a natural candidate to be supplied by hydrogen. Hydrogen as a fuel is an old idea, as in 1874 Jules Verne dedicated a paragraph of The Mysterious Island to it. "I believe that one day water will be a fuel, that the hydrogen and oxygen that constitute it, used alone or together, will provide an inexhaustible source of energy...", but the abundance of other resources, the difficulties to handle it safely and the lack of environmental awareness, they relegated it for 150 years.
Methodology to estimate fuel`s exergy in SI engines using Otto cycles principles limited by the knock.
A novel methodology is presented to estimate the exergy of liquid and gaseous fuels for spark ignition (SI) engines, based on the thermodynamics laws and two scientific methodologies, one for fuel´s methane number (MN) measurements, and the other for gaseous fuel´s energy quality quantification. Two engines were used 1) A CFR engine to measure fuel's critical CR and MN, fuels with MNs ranging from 37 to 140 were used, two biogases, methane, propane, and blends of biogas with methane/propane and hydrogen. 2) A hybrid diesel engine with a high compression ratio (CR) converted to SI using custom pistons for high turbulence intensity designed by CFD simulations, for biogas SI (BSI) combustion, the BSI engine combines diesel engines characteristics (high airflow inlet, and high combustion pressures) with SI engines characteristics (premixed combustion using SI for combustion phasing at the knocking threshold (KT)). The BSI engine was used to measure the fuel´s maximum electrical energy generation and thermal efficiency at the KT. Correlations between MN and research octane number (RON) were used to develop the methodology. Fuel´s exergy efficiency is estimated with fuel´s γ, hydrogen/carbon (H/C) ratio, and limited by fuel´s MN/RON. Fuel´s exergy is correlated with fuel´s entropy, adiabatic flame temperature (Tad), and fuel´s exergy efficiency for Otto cycles limited by the knock.
Evaluation of the production potential of quorum quenchig enzymes of extremophile bacteria from Antarctica
Cell-cell communication mediated by the production of N-acylhomoserine lactone is one of the causes of the production of virulence factors in pathogens and biofouling. Although quorum-quenching is a useful method to disrupt quorum sensing signals, different QQ enzymes are required to block bacterial communication in specific environments. The aim of this study was to determine the QQ enzyme production potential of psychrophilic bacteria isolated from Antarctic marine sediments. This study was divided into three phases: (i) semi-qualitative evaluation of lipolytic activity, (ii) evaluation of resistance to β-lactam antibiotics, and (iii) evaluation of β-lactamase activity. In this study, the bacterial strains evaluated presented lipolytic activity and resistance to β-lactam antibiotics (ampicillin and penicillin). In addition, the strains UTB 167 and UTB 170, related to the genus Psychrobacter, presented β-lactamase activity (1.7 - 3.9 Umol/L), which indicates that their potential to produce QQ enzymes related to the metallo-β-lactamases superfamily.
S-3-hydroxyphenyl (N-hydroxycarbamamido) (diphenyl) ethanethioate derivatives as potential inhibitors of 5 -Lipoxygenase (5-LOX)
We have designed and docked derivatives of a new anti-inflammatory compound into the crystal structure of the Lipoxygenase-5 (LOX-5) enzyme. We found that four derivatives have the same ability to inhibit the activity of the enzyme as the anti-inflammatory drug Zileuton. This information may help us develop new compounds to treat inflammation.
Making Materials Flow with PFEP (Plan for Every Part) in a company food
The research work uses the Kanban tool, which is an opportunity to generate continuous flow and improve the flow of materials and increase productivity, where they eliminate waste such as reducing waiting to serve the internal client (productive system), transfers unnecessary mobile equipment, overproduction and work-in-process inventories. And align processes, standardize routes among others in a food company. Through the pull system, efficiency was improved in internal transfer operations of materials and finished products, from the input logistics warehouses to the distribution warehouses, considering the quantities necessary to minimize stocks, supported by production planning. the master plan that will indicate the quantities of SKUs and the materials plan or MRP I for the supply of materials
Improving Warehouse Management Processes to Ensure On-Time Delivery of Paprika-Based Products
On-time deliveries are considered a strategic factor for the market positioning of companies. Such is the case of the company under study where only 76.5% of orders arrive on time, compared to 90.2% of companies in the same sector in Colombia. The causes of the problem are an inadequate management of the raw material warehouse processes, causes such as the lack of organization of the physical space that lengthen the preparation of orders, inefficient inventory control processes at the entrance and inside the warehouse and inadequate handling. These have caused losses of raw materials due to pyrolysis, shortages, and delays in production and therefore the rescheduling of the delivery date of orders. In order to improve these processes, we implemented the 5S and a redesign of the warehouse, simple sampling, ABC analysis, cyclic counting and EOQ model. As a result, an increase in orders delivered on time of 12.53% and an economic impact of S/. 1,468,580 in a period of 5 years excluding implementation costs and a net cash flow in the first year of S/. 36,052.
Estimation of the IDGREY model and by adaptive interaction applied to an EMG30 dc motor
This research carried out the development of the experimental model through the acquisition of data from a direct current motor, through the identification of a gray box model for speed control under the LabVIEW platform. The precision of the experimental model was validated by solving the speed control problem of the DC motor, in this case the adaptive interaction control technique was applied to a multilayer perceptron network, obtaining as a result an error prediction of 97%. With which it is concluded that the system adapts quite well to the precision of the model.
Incidence monetary policy on economic cycles in Peru, 2000-2019
Monetary policy is a key tool to stabilize an economy as well as to boost it. In the present study we seek to demonstrate that there was a causal relationship in the Granger sense between monetary policy and economic cycles in Peru during 2000 - 2019 since the evolution of the monetary policy interest rate was empirically analyzed, in its role as an operational instrument of monetary policy in the economic cycles in Peru during 2000 - 2019 and the effects of monetary policy on the behavior of the real exchange rate and the terms of trade and its impact on economic cycles in Peru during the aforementioned period. One of the relevant findings is that the real interest rate had a significant influence on GDP and negatively with respect to the first and second lags. On the other hand, the terms of trade had a significant influence on GDP, being positive and negative with respect to the first and second lags, and the increases in the expected price of metal and food exports caused an increase in investment demand in the export sector of the country. country. This economic progress occurred at such a rapid pace that it offset and exceeded the losses caused by the excessive consumption of capital goods and the clumsy reversals of expansionary monetary policy.
IoT applied to counting the number of people in a classroom and measuring body temperature with a built-in alarm system for the prevention of Covid-19
This document presents an improved IoT-based system designed to help teachers manage the classroom in accordance with the restrictions established to prevent the spread of COVID-19, this system allows fever detection of students with possible cases of COVID 19 using the Mlx90614 sensor. In addition, it can provide information about the number of people entering or leaving the classroom by door-crossing detection with the use of Sensor HC-SR04. It is concluded that the system is very precise and considerably robust when detecting body temperature and counting people for capacity control.
Implementation of a maintenance area to increase the profitability of the sausage plant of the company San Fernando S.A.
In the present investigation, a proposal for the implementation of the maintenance area is developed, since due to the current trend towards the outsourcing of this area by companies in Peru, opportunities for growth have been lost, to strengthen an organizational culture and, above all, all of leaving a base legacy for a future operation that seeks excellence, that is why this implementation aims to reduce operating costs and improve the profitability of the sausage business of the company San Fernando S.A. Through the improvement of the indicators, this research is of the theoretical, applied and causal type while the research method is of the quantitative type.
Case Study and Learning Outcomes: prototype for measurement of biomechanical signals of walking based on embedded systems
In this article, we discuss learning outcomes in the context of engineering and technology development. The academic space in which the case study is developed is designed to be developed in a research and innovation environment, with the support of the university's research groups. Although the academic space is within the framework established by the university, with a defined number of working hours per week, given its nature, the learning outcomes must be updated for the development of each particular project. In this sense, we show a case study in which a prototype is developed to measure kinematic signals and electromyography that can be used in lower limb exoskeletons. The device is built as a network of low-energy consumption sensors. This document contains the definition of the particular model for the implementation of learning outcomes, the definition of learning outcomes, a description of the methodology for the implementation of said model, and a description of the evaluation and follow-up mechanisms. Also, the methodological development of the project is explained from an engineering point of view, including the sensor network, the sensory fusion strategy, the signal processing, and the results when using the device in an experiment with a healthy user.
Sprayed mortar design to optimize plastering in confined masonry walls
Plastering is a procedure that makes it possible to standardize surfaces and fill in the voids to ensure a good finish on masonry walls, as well as increasing their strength and durability. However, this activity generates large amounts of waste related to the loss of material during this construction process. Therefore, it is necessary to implement new technologies to reduce costs and execution times, in addition to obtain the appropriate properties to protect the surface. In the present investigation, the technology of projected mortar for plastering is presented as an innovative alternative to the traditional system. For this reason, twelve sprayed mortar mixtures are designed with w/c ratios of 0.45 and 0.50, Type I and Type V cement contents, accelerating additives and superplasticizer additives mixtures that are tested in the laboratory to propose an optimal mixture according to its properties in the fresh and hardened state. Finally, through unit cost analysis, an estimate of the savings in time and cost that the projected mortar technology presents in comparison with the traditional method for plastering is obtained.
Implementation of an automated bathtub prototype for dogs using feedback and sequential control monitored by Labview
This article describes the implementation and automation of a low-cost, domestic dog bath prototype For this, an enclosure with a wooden structure, acrylic sheets and PVC tubes was implemented, in order to provide comfort to the dog while receiving the bath. Likewise, in order to reduce the consumption of water and energy, an automation was implemented using sensors and actuators (solenoid valves, electropump and submersible resistance), a PID controller to control the water temperature, an On-Off controller to control the level of water, a sequential control for the washing and drying process, and the monitoring of the entire process through the Labview software. The PID tuning was carried out by the trial and error method where the final parameters were Kp=0.5, Ti=0.001 and Td=0.02 In addition, the establishment time to achieve the desired temperature was equal to 45.35 minutes, the time used by the sequential controller was close to 115 seconds for a given total water consumption.
The Virtualization of Engineering Careers at UNET as an Alternative for Academic Prosecution
This research consisted on the systematization of a virtualization experience of the Engineering Careers of the National Experimental University of Táchira (UNET), with the purpose of maintaining the academic continuity of students, interrupted by the health emergency of COVID-19. The study methodology has a descriptive scope and is systematized according to the phases of the ADDIE model (analysis, design, development, implementation, evaluation), articulated in a complex and recursive process between the different actors involved in the virtualization process.
Chromium removal by Eleocharis montevidensis and Scirpus americanus in combination with Eichhornia crassipes in a hybrid artificial wetland system for tannery effluent in the Río Seco Industrial Park, Arequipa – Peru
The contamination of water and soil by tannery waste in Arequipa, Peru, has become a problem due to the discharge of pollutants, especially chromium, into the drainage system, which may threaten the health of nearby human settlements. Therefore, the research aims to determine phytoremediation efficiency (using Eleocharis montevidensis, Scirpus americanus, and Eichhornia crassipes) in removing chromium from tannery effluents using artificial wetland systems that combine different plant species. Physicochemical parameters and plant responses were measured before and after treatment. The study demonstrated that chromium removal efficiency was 99.6% after seven days of treatment with the wetlands. Additionally, the concentration of hexavalent chromium did not exceed 0.02 ppm after treatment. It was observed that Scirpus acclimatized better to chromium stress and tannery effluent than Eleocharis, while the species Eichhornia did not show significant changes.
Edgar Santiago Flores Sacsi, Edgar Santiago
Application of a radio link system in the 400MHz band for remote supervision and control of SEDAPAL service stations in Peru
Within the program for the improvement and modernization of drinking water and sewerage service stations in Latin America, there are projects to expand and improve the service due to its projection of population growth and modernization of the service, since in most cases there is a lack of updating of automation designs which hinders the supply of drinking water. In addition, in some cases in Latin American cities, the monitoring and control of the stations (reservoirs, wells, inlet chambers, re-pumping chambers, etc.) has been carried out manually. For this reason, in this investigation, the interconnection of the SEDAPAL stations is considered, which will be carried out wirelessly, interconnecting the stations through radio links, through a study of different factors such as geographical profiles, height of the antennas, calculation of fresnel zones, antenna gain, azimuth calculation, transmission power, effective radiated power, losses generated by free space, among others.
Performance of Wind and Photovoltaic Energy in Pumping Systems for Irrigation in Rural Areas of Peru
Wind and photovoltaic energy are the most widely used renewable energy sources because they are clean, inexhaustible, and suitable for applications in agriculture. This project is applied considering the needs of rural towns in Peru, where they do not have conventional electricity and lack of water in their crops. Therefore, the objective of this work is to select the most efficient renewable energy for the pumping system in agricultural applications. The results show the viability of both renewable energies, where the photovoltaic source is more economical. Consequently, this type of system is recommended for pump system applications in agriculture applications.
ISO 9001:2015 Quality management: Case study for three-star hotels in Peru
Quality Management Systems (QMS) are programs designed to help improve the quality of products and services offered to customers. These programs involve the implementation of procedures and policies in order to meet quality standards and indicators. QMS seek to ensure customer satisfaction, optimize business processes and improve competitiveness. The study was the result of a thesis study, which aimed to determine the measures implemented by three-star category hotels according to the ISO 9001:2015 standard, Trujillo - Peru. The study was descriptive, with a single variable, non-experimental and with a quantitative approach. The technique used was observation, and as an instrument, a known observation guide was used as "Evaluation Diagnosis of the Quality Management System according to NTC ISO 9001-2015", which considered the levels: Fully complies, partially complies, complies with the minimum of the stated criterion and does not comply with the stated criterion (not established, not implemented, not maintained). The dimensions evaluated were: Organization context, leadership, planning, support, operation, performance evaluation and improvement. It was determined that the level of implementation was "partial compliance" (55.1%) for "Hotel 1" and "minimally complied" (37.3%) for "Hotel 2". The main limitation was the scarce scientific literature in the hotel sector in the presentation of a scientific article.
Proposal for Improvement of Customer Service Operations in a Spare Parts Company
The objective of this research is to propose the implementation of a methodology to improve operations in a company that sells spare parts to improve the quality of customer service specifically in the counter area. The research was focused on finding factors and causes that affect the company, through interviews, application of engineering tools, analysis, and observation, it was determined that the lack of a computer system, inventory organization and process design affected the quality of service. Therefore, it was concluded that the Management by Objectives methodology, together with the implementation of the recommendations, will provide the necessary organization to improve the customer service area, allowing to focus the effort on meeting objectives, goals and execute processes efficiently.
The New Products Development: Effect of integration between Industry 4.0 and Supply Chain Management.
This article presents a systematic review on the relationship of New Product Development (DNP), Supply Chain Management (GCS) and the implementation of technologies associated with Industry 4.0 (I4.0) that improve the performance of organizations. . To achieve this goal, a systematic literature review was developed to compile existing literature, identify current research gaps, and systematize research on the relationship of DNP, GCS, and I4.0 with Organizational Performance. In total, twenty-eight (28) articles indexed in Scopus were analyzed. The authors agree that the technologies associated with Industries 4.0 contribute to the Performance of organizations by improving the integration of customers and suppliers in the Supply Chain Management processes while making the development of new products more efficient. new products. From the in-depth analysis of the articles, it was possible to group them into six emerging themes: Organizational Performance, Sustainable Business, Green Organizations, Small and Medium Industries, Product/Service and Process Innovation, and Industry 4.0 Implementation.
Drying kinetics of Yuyo macroalgae (Chondracanthus Chamissoi) and evaluation of the nutritional characteristics of its flour
Seaweeds are a rich source of components such as fiber, protein, minerals, vitamins, antioxidants and polyunsaturated fatty acids. They are low in calories and can help alleviate some of the nutritional and health problems associated with protein deficiency. The bioavailability of the Peruvian "yuyo" Chondracantus chamissoi provided the necessary support for this study to gain a better understanding of the nutritional value of the macroalga "yuyo" in its dehydrated state and its transformation into edible flour. The study was carried out using 20 kg of fresh macroalgae, packed in bags of 2 kg each, randomly taking samples of 150 and 90 g, which were vacuum-packed and stored frozen for later study. The analysis of the protein content of the dehydrated macroalgae Chondracanthus chamissoi showed that the higher the drying process, the higher the protein content in the same period of time, so that the protein content was inversely proportional to the dehydration temperature. In our study, the following results were obtained: at 40°C the protein content was 17.70% and at 60°C it was 18.20%. The protein content of dried Chondracanthus chamissoi at different temperatures was not the same as when fresh. The drying kinetics of the tests developed showed a direct relationship between temperature and dehydration rate
Siting and Sizing of Distributed Generation Units in Distribution Systems with Genetic Algorithms
This paper presents a genetic algorithm for the location of distributed generation units, using the equations of power flow and energy balance between demanded power and generated power. The genetic algorithm is performed in the open-source programming language Python due to its current importance and the multiple libraries for data science. The genetic algorithm for distributed generation location is applied in a feeder circuit in the city of Arequipa
Reduction of order delivery times in painting Mypes in Peru based on Standard Work and Raw Material Management
The paint industry at the level of Mypes, concentrates various critical processes in the production process. This is because they lack a planning and engineering support system, which trigger problems such as: low on-time delivery rate, defective products, stock breaks, among others. Based on this, the case study that is 24% below the standard regarding on-time deliveries is presented. To do this, a production model of Standard Work and Raw Material Management is proposed in a painting Mype in Peru. The diagnosis is given through an analysis of times and activities that includes the manufacture of paints, as well as the analysis of production stops regarding the shortage of raw material. The model will be applied under a hybrid model of implementation and simulation. Through this, it is possible to optimize the production cycle time by 33.6% (301.13 min to 225.39 min) and, therefore, increase production capacity by 13.51% (1377 gallons/shift to 1563 gallons/shift). Likewise, stock out decreases from 6.52% to 0.22% and on time deliveries (On Time Delivery indicator) present an improvement of 17.85%.
Influence Of The Additive ASTM - C494 Type C On The Compression Resistance At Early Ages Of a Conventional Concrete F'C 210 Kg/cm2, Trujillo 2021
In this study, the influence of ASTM - C494 type C admixture on the compressive strength at early ages of a conventional concrete f'c 210 kg/cm2 was determined. For this purpose, temperatures were measured in concrete placed in a lightened slab using “Chema 3” admixture and specimens cured in the same work under normal conditions without admixture and with admixture, from the first hours of hydration up to 10 days, with maturity sensors. Likewise, prior to this, the calibration curve was elaborated in the laboratory using the Nurse-Saul expression with two samples the standard one, and the other one with the accelerating additive Chema 3. The research showed that the influence of the ASTM - C494 type C additive, Chema 3 additive, allowed obtaining a resistance higher than 70% at 24 hours with 181.43 kg/cm2, compared to the conventional sample which was 86.24 kg/cm2. Nevertheless, all the findings found indicated that the influence of ASTM - C494 admixture type C, Chema 3 admixture and the use of the maturity method would improve the time and costs in concrete constructions.
Analyzing and Filtering Multimedia Digital Evidence with Artificial Intelligence
Digital evidence has been growing exponentially over the years, not just in size but also in quantity: we now store more files than ever, both on computers and smart devices. The use of multimedia formats has also increased, with audio and video recordings being more prevalent than they previously were. This poses a problem for digital forensic examiners, who now must sift through these files listening to what is said in them. Artificial Intelligence models and applications that can be run locally provide us with a novel way to work with these challenging forms of evidence, drastically reducing the time required to find important information in these ever more present formats, while meeting the stringent requirements of data privacy that laws impose upon investigations.
System for monitoring patients diagnosed with Alzheimer's using wearables
Alzheimer's disease is the main cause of dementia, and currently there are more than 60% of cases diagnosed with dementia, likewise, each year about 10 million new patients are diagnosed in the world. (Sánchez Danilo, 2010), a neurologist at the National Institute of Neurological Sciences, mentions that in Peru 10% of the 60-year-old population suffers from Alzheimer's disease and it starts normally in adults over 60. That is why it was proposed to implement a monitoring system for patients with Alzheimer's using wearables from the Xiaomi brand model MI Band 6, since it helps us to collect physical health data. With this we reduce the attention time in a medical appointment. The time it takes to perform the analysis can vary between 7 to 15 days. It is worth mentioning, that within the investigation we have considered in the sample a minimum of 5 patients, 5 neurologists and 5 psychologists. When applying the surveys, according to the 3 indicators proposed, the result for the first indicator "User Satisfaction" was obtained, that 76.67% of those surveyed recommend the application. On the other hand, 25.33% recommend putting instructions for the application. For indicator number 2, "Data Availability", it was obtained that the average time of data availability decreased by 22 days (86.76%). And finally, for "Attention time", the average time in the speed of monitoring decreased by 177.87 hours (39.08%) It was obtained as a result for the first indicator "User Satisfaction", that 76.67% of those surveyed recommend the application. On the other hand, 25.33% recommend putting instructions for the application. For indicator number 2, "Data Availability", it was obtained that the average time of data availability decreased by 22 days (86.76%). And finally for "Attention time", the average time in the speed of monitoring decreased by 177.87 hours (39.08%) It was obtained as a result for the first indicator "User Satisfaction", that 76.67% of those surveyed recommend the application. On the other hand, 25.33% recommend putting instructions for the application. For indicator number 2, "Data Availability", it was obtained that the average time of data availability decreased by 22 days (86.76%). And finally for "Attention time", the average time in the speed of monitoring decreased by 177.87 hours (39.08%)
Victimization study of cybercrime related fraud and scams in the city of Mar del Plata, Argentina.
The digital transformation of organizations, accelerated by the COVID 19 pandemic, forced millions of people to use different technological tools to continue carrying out their daily activities, such as making purchases, banking procedures or maintaining social interactions. This situation generated an increase in cybercrime, specifically cyber scams and cyber fraud, however, in Argentina there are no official statistics in this regard. This paper presents a victimization study carried out during the year 2021 in the city of Mar del Plata, Argentina in order to investigate and collect information on the commission of crimes mediated by technology, in order to contribute to the design of crime policies. public safety, as a first situational diagnosis.
Solar and Wind Energy Potential Assessment in a University Building under a Tropical Climate
This paper presents the design and performance analysis of a hybrid wind and solar energy generation system integrated with a battery bank for a building. The objective of this study is to evaluate the extent to which the energy demand of the building can be met by the hybrid system and to investigate the effects of various parameters on system performance. The hybrid system comprises nine wind turbines, a solar photovoltaic (PV) array, and a battery bank, all integrated with the building's electrical grid. A simulation model is developed using Designbuilder/EnergyPlus to estimate the energy demand of the building. This model considers the building's energy consumption, weather data, and the wind turbine and PV array characteristics. The simulation results show that the hybrid system can effectively cover a significant portion of the building's energy demand. The battery bank plays a crucial role in ensuring a continuous electricity supply. The effects of various parameters, such as wind speed, solar irradiation, and battery capacity, on system performance, are also analyzed. The findings of this study can serve as a basis for the optimization of hybrid renewable energy systems for building applications, thereby contributing to the development of sustainable energy solutions.
Physical and mechanical behavior of hot mix asphalt mixtures incorporating WEO
There is a complex environmental problem due to the inadequate treatment of industrial waste. The main drawback corresponds to storage, since there are no spaces to be disposed of. One of the pillars of the 2030 agenda corresponds to responsible production and consumption (SDG 12), being the justification that motivated the research on asphalt incorporating different percentages of WEO burned engine oil. Two hot mix asphalt designs were carried out, the first design to determine the optimum percentage of asphalt cement to be used and the second design to determine a hot mix asphalt with the incorporation of burnt oil from vehicle engines in percentages of 1.00%, 1.25%, 4.00% and 7.00%. There were 27 briquettes made to evaluate the stability, flow and density by means of the Marshall test. In addition, 12 normative tests of the Ministry of Transport and Communications were carried out for the fine and coarse aggregates used. The results indicated that the optimum percentage of PEN 85/100 asphalt cement is 6.50%, and considering the different percentages of WEO incorporation, they present stable values with an addition of 4.00%. From an economic analysis, the incorporation of WEO in the MAC raises production costs compared to the conventional mix, but from an environmental analysis it is highly favorable for its reuse at the national level.
Cinematic Design and Force Analysis of a SCARA Robot with Pneumatic Actuators
The use of pneumatics applied to industry is greatly favored by its great availability and for being a non-polluting fluid, thus having a potential to replace other systems in the industry. In the field of industrial robotics, a robotic arm with pneumatic servomotors is rarely designed, as there are few studies about it. This technology being a closed loop repetitive control system with feedback makes feasible its implementation for processes in the industry. Since there are few pneumatic industrial robots, this study seeks to design a prototype using 3D printing with a pneumatic system. Also, the necessary information on the mechanical adjustments in the pneumatic actuators for a required application as well as the interpretation of transmission simulations. This study provides a manufacturing model of a fully pneumatic and functional robotic prototype, showing the advantage of using belts for transmission mechanisms and 3D printing manufacturing. This also opens the field for future research on pneumatic control applied to industrial robotics.
Cooking methods and determination of the nutritional content of tilapia (oreochromis sp)
The objective of this study was to determine the different cooking methods on nutritional properties of Tilapia fish (Oreochromis ps) and two physiochemical parameters (wáter activity aw and pH). A completely randomized experimental design with two replicas with three repetitions was used, the treatments were: electric oven at 60 and 80ºC, vapor at 60 and 80ºC, and microware at 140 and 1400 Watts and the response variable were: protein, lipids, ash, moisture, aw and pH contents. For the statistical analysis of data, an analysis of variance was used and the mean values were compared using the Tukey test (P0.05). The proximal compositions of the Tilapia fish were: protein 22.16 ± 0.04%, lípidos 1.3 ± 0.01%, cenizas 1.14 ± 0.008% y humedad 78.11 ± 0.18%. The values of the physiochemical parameter were: wáter activity of 0.98 ± 0.008 y pH de 6.64 ± 0.008. The proximal compositions and physiochemical parameter were significantly affected (P0.05). The best treatments for the conservation of proteins were microwave at 140 and 1400 watts, and the method that most greatly decreased proteins was the oven at 80ºC. On the other hand, there was decrease of fat in the vapor treatment at 60ºC and in the microware treatment at 140 watts compared with electric oven treatment at 60 and 80ºC. The application of cooking methoda in the microware (140 and 1400 Watts) and vapor (60ºC) there were more protein bands, compared with the electric oven (60 y 80ºC) and vapor (80ºC). The electric oven treatment (60 y 80ºC) showed fewer protein bands. This information is useful to enrich data from chemical composition tables, in which concentrations are usually presented in raw food.
Indirect bio-oxidation: Treatment of refractory gold and silver sulfides
In this research, the gold and silver extraction process was evaluated from a refractory gold-silver sulfide originating from the Gran Chimú Province in the La Libertad department of Peru. The extraction process was carried out in two stages. The first stage was called indirect bio-oxidation, and in the second stage, a conventional cyanidation process was performed. In the first stage, acid water from the area was used to culture the Thiobacillus ferrooxidans bacteria. The culture was promoted by adding salts called 9K, and the aim of this stage was to transform ferrous cations to ferric cations, as evidenced by the color change of the acid water to red. In the second stage, a solution of sodium cyanide and calcium oxide (quicklime) was used, and the total cyanidation time was 51 hours at an average pH of 10.5 at room temperature. The dry quantification process of gold and silver used was a fire assay. The extraction process variables evaluated were the concentration (0, 0.75, and 1.5) mg/g of silver salt, mineral particle size (80% less than 100 mesh, 80% less than 200 mesh, and 80% less than 325 mesh), and the temperature of indirect bio-oxidation (25, 45, and 65)ºC. To evaluate the effect of the bio-oxidation pre-treatment, conventional cyanidation tests were carried out, resulting in extraction percentages of 44.61% and 48.98% for gold and silver, respectively, with a particle size of 80% less than 325 mesh. This indicated the need to implement the aforementioned pre-treatment to release the gold and silver from the mineral. The extraction percentages using both stages were 61.44% for gold (80% less than 325 mesh 65ºC 0.0 mg/g) and 94.24% for silver (80% less than 200 mesh 65ºC 0.75 mg/g) at best, and 35.98% for gold (80% less than 100 mesh 45ºC 0.0 mg/g) and 41.44% for silver (80% less than 100 mesh 25ºC 0.0 mg/g) as the lowest recorded values.
Design of a heating system for high Andean homes using residual energy from kitchens
Peru is made up of three natural geographic regions. The high Andean areas of our country experience low temperatures every year, known as frost. On the coast, low temperatures are combined with high humidity. The direct effects are reflected in the respiratory system, also affecting the state of comfort. The purpose of this research is to provide a heating proposal in high Andean homes to achieve thermal comfort and to propose an alternative to the current global energy crisis, through a heating system, using residual energy from a kitchen to assist the social problem of extreme cold, all this with low cost and minimal environmental impact. Cold air will be captured from the house, through a duct, which will circulate through the kitchen. The heat emitted by the flame of the stoves will be used through the process of heat transfer by radiation and convection to heat the air flow. This will generate a temperature gradient, giving way to the thermosyphon phenomenon producing a continuous flow of hot air that is finally stored in a thermally insulated container and released to achieve thermal comfort in the house
Impact of an Agrovoltaic System on the Yield and Growth of Saladette Tomato Crops (Lycopersicum esculentum Mill) in a Semi-Arid Climate, Arequipa-Peru
The term Agrovoltaic refers to the production of photovoltaic energy and the development of crops. This concept is of particular interest in regions of southern Peru where agriculture is one of the main drivers of the economy, and where solar radiation is ideal for the generation of photovoltaic energy. The objective of this research is to evaluate the impact on the cultivation of saladette tomatoes with adequate shading levels, adapted to the environmental conditions of arid and desert climates with high water needs. Four cultivation areas were established: one without photovoltaic panels as a control zone (area 1), and the others with different angles of solar panels with 20° (area 2), 30° (area 3), and 40° (area 4). As a result, the plants in the area 2 of the study showed greater vegetative development and higher production compared to the other study areas, contributing to minimizing the impact of stress caused by high solar radiation and high temperature, with water savings and improving the development of saladette tomato plants
Engaged Engineering: Learning from the Systematization of Experiences from Latin American that make the path towards Buen Vivir
For a long time, the predominant paradigm in engineering has been inactive and discriminatory towards the needs of marginalized communities. However, there are a variety of proposals, practices and experiences that challenge this approach. Organizations in various parts of the world have developed proposals that value the social meaning of engineering and seek a new way of teaching and practice. Humanitarian engineering, peace-building engineering and popular engineering are some of the concepts that have been created and are grouped under the term Engaged Engineering. These new practices seek to transform the ethical foundations of hegemonic engineering and its relationship with nature, human beings and society. This approach is related to alternatives to development, such as Buen Vivir. This article analyzes and explains the characteristics of Engaged Engineering through the systematization of experiences, especially in development projects and educational approaches focused on social transformation. It also examines possible relationships between these engineering and the transition processes towards Buen Vivir in Latin America, in order to explore alternatives to the predominant paradigm in engineering.
Reagents from vegetable origin for gold adsorption into acid solutions
Mining is the reason for great technological advances, which through science make it possible to manufacture electronic equipment. These devices, after their useful lifetimes, are discarded, becoming part of the millions of tons of electronic scrap produced. This massive mountain of electronic scrap has the potential for gold extraction through an acid-leaching process for subsequent recovery with solvents or chemical adsorption agents. However, a series of materials have been postulated, including carbons, gels, and compounds extracted from vegetable matter, to manufacture adsorbent materials, giving a second use to organic matter residues, which are an interesting alternative on the way. towards a sustainable industrial process. This review presents alternatives of materials such as barley, rice, orange, persimmon, and apricot, capable of being transformed into adsorbent materials that achieved a 99% recovery in an estimated contact time of 0.5 to 100 hours. Since Peru is a country with enormous agricultural potential, these new applications could increase the reach of this market internationally, favoring the consolidation of sustainable technologies.
Effect of cattail content (Scirpus californicus) on the physical-mechanical properties of masonry units obtained from construction and demolition waste, Trujillo 2022
The problem of contamination by Construction and Demolition Waste seriously affects the countries of China, the United States, Vienna, Lombardy and Brazil, despite their efforts to manage and reuse it. In Peru, the situation is not different, this is evidenced by the large amounts of RCD accumulated on the periphery of cities, as happens in Trujillo, La Libertad region. Therefore, this research was carried out taking advantage of the RCD and a local vegetable fiber with the purpose of determining the effect of the cattail content on the physical-mechanical properties of the masonry units obtained from these residues. To elaborate these units, the RCDs were collected, selected and crushed, the dosages were improved and the mixture was elaborated according to the experimental procedure detailed in the investigation. The data was collected through the technique of direct observation to laboratory tests. A standard sample, another sample with an increase of 1% of cattails, another sample with an increase of 2% of cattails, and another sample with an increase of 3% of cattails with respect to the mass of the brick were analyzed. It was concluded that, in the dimensional variation and warpage test, the results are within the established parameters, in the flexural modulus of rupture resistance test, high levels of resistance are reached, in the compression resistance test of the units of masonry and in the compression resistance test of the adobe walls do not meet the established parameters, however, in the mortar tensile strength test of the masonry units they do meet the permitted parameters. It is recommended to use cement as a mortar instead of earth and sand to improve resistance properties, and to evaluate new local plant fibers.
Integration of a hybrid laboratory for learning in digital electronics: an educational experience
This article describes an educational experience in which a hybrid laboratory consisting of two modalities, remote and hands-on laboratory, was used in a digital electronics course focused on learning a hardware description language. A case study is presented which describes the interaction of students with the hybrid laboratory over a period of 10 weeks, including the number of experiments performed, laboratory reports submitted, and days and hours of access to the remote laboratory. In addition, responses to a question asked of students at the end of the experience, in which they were asked to indicate their preferences for the characteristics of the hybrid laboratory, are analyzed. The results show that the flexibility and accessibility of the remote laboratory were positively valued. The implications of these findings for the design of hybrid laboratories and the teaching of digital electronics are discussed
Analysis of the production of photovoltaic facades integrated into the BIPV building
In developing countries, there has been an increase in the use of building-integrated photovoltaic (BIPV) systems in recent years. This technology is relatively new in Latin America, unlike other European countries, and it has not had a great impact on the generation market in buildings. Its architectural flexibility, which allows the use of different types of colored solar cells, makes it attractive to improve energy efficiency. aesthetics of buildings and provide demand savings. Using photovoltaic systems integrated into a building envelope instead of traditional materials can contribute to the production of energy where it is consumed. Therefore, the objective of this work is to evaluate the energy production of different types of semitransparent solar panels. For this, the PVSite Photovoltaic Performance Analysis Program was used, a simulation tool for the integration of photovoltaic systems. The results show that in general, the last months of the year have lower production, while the maximum production is achieved in March with a semi-crystalline panel from the manufacturer Onyx X6 producing 673.85 kWh.
METHODOLOGY FOR THE DIAGNOSIS OF SUSTAINABLE DEVELOPMENT IN RURAL AREAS OF COLOMBIA THROUGH A SIMULATED MODEL
Context: The public policies that have been formulated to the development of rural areas have been ineffective, as they do not fully respond to the particular needs and dynamics that these territories have in Colombia. Consequently, the design of sectoral policies that are mainly oriented to agricultural policy in rural areas has generated a neglect of other economic sectors that can contribute to a more balanced development, such as tourism. Based on the above, the importance of diagnoses in the design of policies oriented to the territories is identified, since they provide a clear knowledge of the current conditions. Therefore, the research presents a diagnostic model for sustainable development in rural areas of Colombia. Method: A methodology consisting of five phases is applied Identification of variables, collection of information, proposed model, validation and scenario approach. Therefore, in the first phase the variables are defined based on a review of sustainable development methodologies, then in the second phase the database of information on the variables is prepared according to secondary information sources and the comparison of the variables in the Colombian context. Similarly, in the third phase the proposed model is established, consisting of four blocks: causal model, fuzzy logic, integration of the sectors, continuous simulation model and VBA model (Visual Basic for Application) to continue with the validation and approach of scenarios in the study system. Results: Five (5) variables are identified for economic development, fifteen (15) variables for social development, six (6) variables for productive development and seven (7) variables for environmental development, for a total of thirty-three (33) variables representing sustainable development. In the same way, the importance of the dimensions of sustainable development is estimated in which they obtained weights of 0.29 - 0.18 - 0.25 - 0.29 for economic, productive, environmental and social development, respectively. Likewise, the four output variables corresponding to the individual ratings of the economic, social, productive and environmental dimensions are obtained. Finally, the fifth output variable is defined which is the integral rating of Sustainable Development (CDS), being the integration of the individual ratings. Conclusions: The purpose and functionality of the methodology for diagnosing sustainable development in rural areas is fulfilled, since it qualifies individually each of the dimensions (economic, social, productive and environmental development), and integrally the sustainable development of the 98 rural municipalities of Colombia.
Model based on the Lean Manufacturing methodology to increase the OTIF of a MYPE company in the textile sector
Textile companies in Peru are currently facing problems of low productivity and exports, caused by the COVID-19 pandemic, generating a deficit in the trade balance and forcing producers to be more competitive. Reason why the national industry seeks to raise the standards of delivering products on time and fully delivering orders, increasing the level of service offered. For this reason, an improvement model is proposed for its application in the printing area of a Peruvian MYPE textile company, which will seek to improve production times and reduce reprocessing in order to increase the company's OTIF. Finally, the validation will be carried out through simulation to rein in the viability of the improvement model in the textile company and to validate the effectiveness of the proposed tools to solve the existing problems in the printing area
Preheating temperature using Smaw process on AISI 9260 steel: microstructure, hardness, and susceptibility to cold cracking
microstructure, susceptibility to cold cracking, hardness, and HAZ extension in the joint of AISI 9260 steel plates welded by SMAW process with E7018 filler electrode has been studied. A one-factor design with 5 levels of the variable (100°C, 140 °C, 180°C, 220°C, and 260°C), three experiment replicates, and three process control tests was used, resulting in 18 total tests. Each specimen, according to WIC standard, consists of two AISI 9260 steel plates of 50.0 x 76.0 x 12.5 mm, joined in a "V" shape with a root separation of 1.0 mm, mounted on a cooling plate made of A36 steel with dimensions of 70.0 x 180.0 x 12.5 mm. The initial temperature before preheating was 9°C. The welding was performed according to a randomized test design, executing 3 multi-pass welds and controlled start and interpass preheating before placing on an aluminum rail at 14°C. The hardness profiles versus microstructure at 4 selected points (ZF, HAZ, HAZ final line, and MB) show the relationship between hardness and microstructural changes due to preheating temperatures, process energy, and filler material. Microcracks were observed in the HAZ of almost all specimens. In the HAZ, new microconstituents generated zones of extreme hardness under the weld bead and low hardness zones due to overtempering. The measured distances from the center of the weld bead to these zones and to the maximum HAZ end increased as preheating temperature increased from 9°C to 260°C for SMAW. In the ZF, columnar zones and refined zones with typical microconstituents were observed, and the resulting hardness values were low, with minimum hardness values of 182 Hv5.0 and 186 Hv5.0 after using the SMAW process and remained approximately constant. The hardness levels in ZF for SMAW were not at an acceptable level for the welded joint service. An optimal preheating temperature in the temperature range studied for the given study conditions has not been determined. At temperatures above 426°C, there may be risks of overtempering, and the AISI 9260 steel would rapidly lose toughness. The elasticity conditions of the joint in HAZ and ZF for SMAW process due to the cooling rail at 14°C were affected compared to the base metal in the supply state, rendering the structure unusable for service
Gamification in the academic performance of the mathematics course in incoming students undergraduate from a private university in Lima
The objective of this research work was to evaluate and analyze the results of introducing an innovative methodology such as gamification that helps to improve the teaching and learning process in higher education students and, thus, improve the academic performance of students prioritizing three aspects. important: interest, active participation, and continuous learning Leaving behind the systematic academic components that are based on memorization or the meaningless search for a good grade without the correct learning of the basic foundations within the student's professional training. This research is quantitative, in which we worked with university students from the leveling courses of mathematics and basic mathematics applied to different engineering careers. Initially, the students were evaluated, through the application of a survey to identify the reasons for their low academic performance, in this aspect it was observed that 72.5% of the student’s state that they had a bad foundation in their respective schools. Then, the gamification tools were implemented in the description of the topics proposed in the syllabus and the influence on academic performance was analyzed, this implementation resulted in students being able to improve their academic performance, and 12.3% of students They were more motivated when carrying out the activities. Finally, the training was carried out for the teachers explaining how to use the gamification tools and how the evaluation should be carried out on the students, at this point it was observed that some teachers were unaware of technological tools to incorporate into the learning process of the students. , but at the same time, they showed concern about updating themselves on the use of Tics and above all how to incorporate them into their class sessions.
Benefits and Challenges of Distance Education for Students Pursuing an Electronic Engineering Degree in Latin America and the Caribbean During the Period 2020-2022: A Literature Review.
Historically, changes that the educational system has been exposed to for a given discipline have been the result of an evolutionary process of knowledge and related techniques developed over years. Therefore, for immediate changes such as those caused by the COVID-19 pandemic, sectors such as Higher Education Institutions (HEIs) did not have the experience or technological structures that would allow them to continue operating in a traditional manner. Due to lockdowns, universities closed their doors and attempted to continue education remotely. Currently, the learning experiences obtained by students in these areas after the change to virtual modality are unknown. In this sense, the present review aims to understand the benefits and challenges of distance education for students pursuing an electronic engineering degree in Latin America and the Caribbean during the period 2020-2022. To achieve the stated objective, a narrative literature review was conducted using the Google Scholar database. The results of the electronic literature search allowed for a total of 294 articles to be obtained. Of these, a total of 4 were analyzed and discussed after meeting the inclusion criteria and research objective. The main challenges encountered were in the technological and academic domains, while the main benefits were in the social and academic domains. Therefore, understanding these documented experiences regarding distance education for electronic engineering students is important in order to establish a starting point that allows for the design of improvement strategies in response to this educational modality that is here to stay and has allowed us to experiment with a disruptive and full of opportunities educational model.
Successful implementation of the SMED and TPM tools under the PDCA methodology to increase order fulfillment in a company in the Plastic sector
According to the INEI, the companies producing plastics in Peru have increased by 27.65% in the period from 2015 to 2020 in the city of Lima-Peru, being the most representative both in number of companies and in their annual sales, which are 352,514 soles on average. Likewise, it is important to emphasize the millions of soles that companies invest in importing machinery to be able to work the plastic product, however, statistics presented in this source (INEI, 2021) mention that only 11% of companies use the total of installed capacity, which is a significant figure that must be taken into consideration. For this reason, this article will thoroughly address the problems caused by delays when delivering orders in a company in the plastic sector. The company under study has a low order fulfillment rate of 57.38%, which represents 11% of the company's total costs. To improve this ratio, the TPM tools and its preventive and autonomous maintenance pillars will be used, as well as the use of the SMED tool to reduce delays in the production process. The implementation of the tools lasted 18 weeks at a cost of S/ 30,216. Finally, the result of the implementation of TPM and SMED was positive, since it was possible to improve the downtime of the machines by 70% and increase productivity by 42%.
Stratification for the Improvement of the Performance of an ANN in Diabetes Detection
One of the problems that have been detected in the generalization of machine learning models, which has been implemented for the detection of diabetes mellitus in the comprehensive private health diagnostic center of the city of Guayaquil What prevents achieving optimal performance of the supervised learning model, for its implementation in the comprehensive center, is the imbalance or imbalance of the data depending on the type of class. For this reason, since the artificial neural network obtained the most acceptable performance, this study will focus on the evaluation of the artificial neural network and the improvement that has been achieved by applying the data stratification technique, which allows selecting from proportionally to the data groups in a balanced way, allowing to increase the performance of the artificial neural network by 3.39% but with a very high loss reduction of approximately 99.98% during learning.
Optimization of inventory management in the Finished Products warehouse of the ABC Dermocosmetics Laboratory
The purpose of this business case is to identify the best alternative to optimize the inventory management of the products manufactured and commercialized by ABC Dermocosmetics Laboratory. The methodology used was the Harvard Business Case, which analyzed the alternatives proposed by the interest group and their applicability under a strategic and financial approach. The chosen alternative was to make an improvement to the current ERP, since it facilitates the integration of processes, improves the level of customer service, and increases profitability.
Analysis of the impact of ICTs on sign language education
In our society, there is currently a constant struggle for equal rights, opportunities, and improvement of the quality of life of people with disabilities. Students with hearing disabilities present communication and learning problems when they attend educational institutions, because they do not have the technological tools that adapt to their needs. In addition, there is a greater technological development motivated by the search for solutions to problems present in educational services. The main objective of this article is to investigate by means of a literary review, the different technological alternatives that exist for people who use sign language as a means of communication and its influence of information technologies for development and learning in an educational field.
Nonlinear Transient Dynamic Behavior of Functionally Graded Beams
The objective of the following investigation deals with the geometrically nonlinear transient dynamic analysis of functionally graded beams. The effect of thickness stretching, and shear strain is considered within the formulation of the improved beam theory, which requires five independent variables and fully utilizes the constitutive equations. The graded material properties are realized under two material phases and are distributed by power law. The dynamic formulation is based on the Hamilton principle, which comes from the principle of minimum energy and being able to use the Lagrange´s function. The model is implemented by means of the Finite Element method for its numerical resolution, for this the modified Newmark method is used, in which the Newton Raphson method is applied to solve the system of nonlinear equations. High order interpolation functions are used to reduce the Poisson locking effect. Finally, the results are compared with benchmark problems and proposing new case studies.
Hierarchical Clustering Method for Bayès Syndrome Detection
Bayès Syndrome manifests itself in the cardiac cycle of an electrocardiogram. It presents associations with multiple medical conditions, and the detection at an early stage is of particular interest. In this article, the Hierarchical Clustering method was applied with the implementation of Matlab to identify each signal in 4 groups or categories of interest for diagnosing Bayès Syndrome. Different configuration values were explored for the linkage parameter. The best result was obtained with the 'ward' option with a normalized sample signal in amplitude and time, achieving a total f1 Score of 0.88. The performance of Hierarchical Clustering was compared to the one reached with K-Means++ and FAUM methods from previous works for signals normalized in amplitude. The Hierarchical Clustering total f1 Score indicator was lower than the value obtained from the two K Means++ implementations and higher than the adjusted FAUM value.
Analysis of the impact of the use of Artificial Intelligence as a service for the detection of unprotected facial passers-by
The world is facing unprecedented challenges due to the COVID-19 pandemic, this situation has slowed development progress in many countries. The pandemic has had a very strong impact on human capital: many lives, education, basic well-being, and future productivity were taken. Many countries have become increasingly concerned with the pandemic, which necessitates research in new information technologies. This includes artificial intelligence research. One new idea we present in this paper helps to fight the epidemic. Very little research has been conducted on mask detection. This is because masks provide protection against COVID-19, and people with masks struggle to function normally without protection. However, recent advances in CNNs have made it possible to extract deep features from faces.
Comparative Analysis of Transient Dynamic Responses on Timoshenko Beams
This research aims to analyze the transient dynamic behavior of beams using the Timoshenko theory. The proposed formulation employs three independent variables for the displacement field to apply them on Hamilton’s Principle. Temporal approximation is developed through Newmark method. The validity of this approach is given by numerical results obtained for cantilever and simply supported beams from comparing to similar researches.
Analysis of Metallic Materials that Prevent the Passage of Electromagnetic Waves in Houses
In this present article the article is carried out the systematic review in various databases and web portals such as: EBSCO, ProQuest, Science Direct, Scielo and Scopus. The bibliography is made up of 20 publications between 2010 - 2021, organized according to: title, author, year, country, database, method, results, measurement instruments, discussions and conclusions, with their respective references. The results show the great importance and impact of the protection against electromagnetic waves with different materials that recently (2021) is being studied with greater interest by the great power countries. New technologies and properties such as the reflection and absorption of electromagnetic waves, in which within the absorption we find materials that waterproof the entry of electromagnetic waves in the construction, such as: the manufacture of polymeric compounds that makes the magnetic properties lose, compound thermoplastic polyurethane, carbonyl iron dispersant, carbon fibers, nano carbon fibers, etc. And in the property of reflection we find the implementation of metallic materials in which I center my work, such as, for example: metallic steel meshes, aluminum, metallic fabrics, conductive wires and fabrics, transparent wood as a solution to the passage of electromagnetic waves and contributions to the environment. It was concluded that the protection against electromagnetic waves is of great importance for our health and care, implementing materials such as metallic fabrics in the construction at the time of the tilework of homes, buildings, etc.
Effects of atmospheric pollution on human health worldwide: A systematic review of the literature between the years 2012 and 2022
This research aims to identify the effects of atmospheric pollution on human health worldwide, through the collection, selection and analysis of research papers published in scientific databases between 2012 and 2022. For which I carried out a systematic review of 58 academic and scientific research papers, of which 50 were selected, with 55 scientific articles and 3 theses, and discarding 8 publications that were not aligned with the objectives determined in the present investigation. The most used database was Scopus, followed by ScienceDirect, Scielo, Google Scholar and Alicia Concytec. From this review it is concluded that Latin America does have research related to the subject, but the country that contributed the greatest number of scientific papers was China, followed by the United States. More than half of the selected investigations belong to the year 2017 onwards. Finally, according to the studies analyzed, results were obtained that positively and significantly relate air pollution to the increase in different diseases, mainly respiratory and cardiovascular diseases, with children and the elderly being the most vulnerable. Therefore, it was concluded that it is necessary for the states of the world to take frontal and ambitious measures against air pollution.
Comparison of results of academic performance in statistics courses in classroom modality and online modality of the National Polytechnic School
In the face of the pandemic, the Chair of Probability and Statistics of the National Polytechnic School implemented online teaching. In the present work, the academic performance of the students of the subject is analyzed during the semesters 2019-A and 2019 - B in face-to-face mode, in comparison with the semesters 2020-A, 2020-B, 2021-A, 2021-B and 2022-A in online mode. For this, the final grades obtained by the students were considered and an analysis of the variances was carried out for the semesters considered using the Levene test and later an ANOVA analysis, the methodological adaptation parameters in each semester were considered only in the study. It was identified that the averages of the final grade are close in all the semesters, but the dispersion and outliers are visibly different, when verifying the homogeneity of the variances using the Levene test, the result was that these are not homogeneous, later the one-way ANOVA test was carried out, in which it was determined that there is a significant difference in at least a couple of periods and these are different from each other with 95% confidence Tests were carried out for pairs of periods and similarities were determined between the semesters in virtual modality, the density functions show similarities between the types of modalities with the exception of semesters 2020-A and 2022-A, which present a markedly different behavior.
Proposal to improve the current business model of the recycling centers in Guayaquil
In the last 30 years the increase in waste has been evident. In this sense, recycling not only makes sense from an environmental point of view, but also from an economic point of view, this type of activity reaches entrepreneurs, collectors and companies that seek to develop the circular economy. For this reason, this study seeks to identify the business model currently used by recycling collection centers in Guayaquil and, based on this, propose the most appropriate model for its growth and sustainable development. For this reason, the design of the study was based on a qualitative approach of an exploratory nature in the city of Guayaquil in order to outline the business model of the recyclers, through the Business Model Canvas (BMC) of Osterwalder Pigneur. The model was obtained through interviews with questions focused on the nine components of the BMC, which made it possible to investigate information clearly not specified in other sources. Based on the results, it was found that several collection centers have reduced physical spaces for material storage and their most important means of communication is the mobile phone with very little use of social networks. Based on this, it is proposed that the recyclers group people by needs or behaviors in such a way that they include companies, shopping centers, schools, universities, the public sector and the private sector.
Rapid Detection of Diabetic Retinopathy Through Deep Learning
The disease called diabetic retinopathy (DR) has generated a series of studies and investigations that seek to be able to detect it in time, in order to counteract the damage that it can cause to the retina in the eye of people and prevent blindness For its diagnosis, a specialist is required to detect it by analyzing an ocular image. Since rapid detection is required, an investigation was proposed with the objective of implementing and analyzing different techniques based on automatic learning or Machine Learning (ML), appropriate to solve this problem and evaluate which of them is the most efficient for the detection and classification of DR, highlighting among them those based on deep learning or deep learning that currently have become a component of artificial intelligence most used in the field of biomedicine. It was determined that one of the deep learning-based prediction models learned to perform rapid DR detection with very fine details, such as microaneurysms and some larger features such as hard exudates, by analyzing all retinographies using the process classification, reaching 85.9% accuracy in the detection of DR.Keywords: Diabetic retinopathy, Machine learning, Deep learning, Artificial neural networks, Convolutional neural networks
Analysis of the use of the ITIL methodology against other reference frameworks for service management 2018-2020
A systematic mapping of articles was carried out that propose a management model based on the ITIL methodology, used for the management of information technology services, focused as a basis on the difficulties that an organization may have when trying to implement in the best way and coping with difficulties such as financial, time, and resource constraints, lack of a strategic plan, lack of skills and staff skills. These difficulties must be solved to subsequently implement an adequate service model according to the organization, as are also the other frameworks, ISO / IEC 20000, COBIT or CMMI-SVC, which learned the service life cycle in order to provide a greater value to the business. In the development of this research, areas, interdisciplinary groups and tools are used that satisfy the problem of complex relationship between business and technology. For this reason, we classify the studies into three categories, which closely depend on the needs and solutions that organizations require regarding the implementation of ITIL. As a result, it was obtained that in three years there was an increase in the implementation of the ITIL framework, as well as the good Management of information technology services.
Use of an information system in the management of the vehicular parking process in a Peruvian public hospital
The main objective of this research is to evaluate the effect of the use of an information system in the management of the vehicle parking process in a public hospital in Lima, where all activities in this regard are manually carried out by workers, which causes times of Wait, hinder vehicle flow, cause discomfort to people who visit the hospital and create deficits in the administration. Therefore, an information system was designed and implemented using the RUP methodology, consisting of four phases: conception, elaboration, construction and transition. Workflows were developed, including business modeling, requirements, analysis and design, implementation, tests and deployment. The modules developed with open source technologies were: processes, administration, security and reports. As a result, it was obtained that the use of the information system positively impacted the vehicle management process by reducing the time to carry out parking activities by 66.67%, the worker's satisfaction increased by 34.33%, It also increased the reliability of the calculation of parking fees by 96% and 52% of the activities of the process were automated, optimizing the use of resources.
Integration of CDIO methodology and Capstone projects for the aircraft design courses of the Aeronautical Engineering program.
The CDIO methodology has allowed the development of critical and technical-scientific thinking in the graduates of the Aeronautical Engineering program at Universidad Pontificia Bolivariana (UPB), in addition to strengthening research, teamwork, and communication skills. Currently, the program is working on the learning outcomes model following the guidelines of the ABET accreditation model, which requires the creation of capstone-type courses that seek the integration of the learning and skills acquired throughout the students training, when analysing the ABET requirements and the CDIO methodology, common elements were observed that could be applied in the Aircraft Design courses. The way of working and the integration strategy of the CDIO methodology and the capstone course has allowed the courses seen within the study plan not to become isolated themes, but rather to become tools for solving real problems under a project environment that allows the development of new skills such as teamwork, self-learning, design, and problem-solving as close as possible to reality. The results of the implementation strategy and the conclusions that have been observed throughout the implementation of this work modality are presented, which include the motivation of students to carry out different activities such as participating in national and international aircraft design competitions such as the DBF (Design, Build, and Flight) by the American Institute of Aeronautics and Astronautics (AIAA).
Machine learning application in university management: Classification model Dropping out of engineering students in Peru
We apply artificial intelligence to various cases of university management, with a proactive approach. In this study, we apply machine learning to classify whether a student will drop out or not, considering certain variables from the SITUATION DATA, based on the relevant attributes of the students. The results of this study would help to decision makers to inquire about the high cost of not finishing the degree and adopt retention strategies. There are various studies on the causes of dropout, such as economic, work-related, family, personal, and perceptions of the educational offering related to the quality they provide. At the same time, students can perceive the benefits of education, especially in engineering careers have expectations, and value. The model developed is a neural network with 8 internal layers, in addition to the input and output layers, 225 training iterations have been considered, obtaining as a result an accuracy of 67.10%.
Analysis of the impact of augmented reality on learning in times of pandemic
Information and communication technologies (ICT) have played an important role in society, affecting almost every aspect of our lives. In the educational field, ICT revolutionizes the teaching and learning experience, and helps one of the greatest challenges that arise in the classroom, education. Different technologies have been applied in this area, such as Video Modeling (MV), Serious Games (JS) and Gamification but one of the most effective are emerging immersive technologies such as Augmented Reality (AR). A systematic review of the literature (RSL) of the studies of AR in student learning was carried out. The search strategy adopted identified 116,420 studies, of which 104 were selected as primary studies. The studies selected for the RSL helped answer 8 research questions posed for this study. The results of the RSL have concluded predominant trends in the research and applications of AR in learning, the areas of knowledge where AR is used and the areas that use AR.
Analysis of the Application of Biological Agents in Obtaining Bioglycerin and Biodiesel from Recycled Edible Oils in the City of Arequipa
The purpose of this study was to obtain biodiesel and bioglycerin from recycled edible oils through biological agents. By means of controlled conditions in a bioreactor designed and manufactured by the research team of the Doctoral Thesis Project. The oily medium was conditioned with respect to pH, methanol concentration and temperature according to the technical requirements of Biological Agents (Aspergillus niger, lipase from Aspergillus niger, lipase acrylic resin from Candida antarctica). In the environmental conditions of the City of Arequipa, values higher than 80% of Biodiesel and 16.5% of Bioglycerin were obtained. Biodiesel is characterized with respect to its Physicochemical Properties, by means of ASTM Methods, regarding Flash Point, Density, Phase Separation, Cetane Number, Diesel Index and Viscosity and for Bioglycerin, Infrared Spectroscopy with Fourier Transform, carried out in the Laboratory of Research and Services (LABINVSERV) of San Agustin National University Arequipa.
Evaluation of the perception of hospital quality in patients of a Hospital-Clínica in the city of Guayaquil
This research project focused on analyzing the perceived quality of service by patients at the Hospital Clínica, using the SERVQUAL model to study the five dimensions of service (reliability, responsibility, safety, empathy, and tangibles). Two questionnaires were developed for scheduled surgery and emergency areas. After conducting the respective study of the perceived quality of service by the hospital's patients, it was found that, overall, they were dissatisfied. The dimensions that had the greatest influence on the perceived quality of service were reliability, responsibility, and safety, while the tangible elements dimension had the least influence. The study identified opportunities for improvement in each dimension of service, and specific recommendations and suggestions were made to the Hospital Clínica to improve the quality of service provided. Overall, the study highlights the importance of paying attention to patient perceptions and using this information to improve the quality of service in the hospital.
Information systems: Effective use of digital networks used in companies in the insurance sector.
Today, market conditions have forced insurance companies to adapt strategic digital marketing actions, thus creating a better two-way communication channel that improves interconnection with users, obtaining adequate brand and service recognition and positioning. Based on this perspective, the objective of this text is to determine how commercial companies in the insurance sector use digital networks as a means of communication with their users, with the aim of establishing actions that improve their competitive capacity in the market. The methodology used was based on the variables of participation in digital social profiles, for which an observation instrument was developed consisting of six variables referring to the 4Cs of marketing and the variety of content and these five digital networks were analyzed: Facebook, Instagram , YouTube, Twitter, LinkedIn. The results indicated that some of the digital networks that companies in the insurance sector maintain and feed do not disclose adequate content, therefore, users and consumers do not perceive the publication of updated information, which demonstrates a waste in the use of technologies. of the information. allow a strengthening of the "corporate" digital identity among users, to gain greater credibility and trust on their part.
System for the recovery and reuse of gray water water saving in public restrooms of companies in Peru. companies in Peru
The research was conducted and executed in Peru, at Escalabs. the company Escalabs, the effect of the greywater recovery and reuse and reuse of gray water in water saving, The thesis was carried out using a non-experimental design, descriptive transversal design. With non-probabilistic sampling by expert judgment. expert judgment. The data collection was done with the technique of non-participant systematic observation, for the non-participant type, and descriptive statistics were used to analyze the data. descriptive statistics was used to analyze the data. the worrisome panorama of water scarcity, which is worsening with time, the reuse of greywater the reuse of graywater represents a good opportunity to optimize water use opportunity to optimize the use of water. the effect of the greywater recovery and reuse system on the the effect of the gray water recovery and reuse system on water savings in a bathroom in a bathroom of the Escalabs company, where it was determined that a 14.20% saving of 14.20% savings in water consumption, with an economic benefit o Translated with www.DeepL.com/Translator (free version)
Presence of microplastics on six beaches in the department of La Libertad, 2022
The presence of plastic on beaches has generated that over time it degrades into particles of 5 to 1 mm, known as microplastics, in effect, being of micro size can be ingested by different organisms, causing a highly worrying scenario for life. Therefore, the objective was to determine the significant difference in the presence of microplastics in quantity and weight in supralittoral and littoral zones of six beaches of La Libertad. For this purpose, a quantitative approach was used and the type of research was descriptive, applied, transversal, prospective, observational and non-experimental, the method used was inductive - deductive by means of ANOVA Statgraphics and Minitab, the technique was data collection and the instruments were data collection forms and observation guides. According to the results, with a significance level of 5%, the beach factor effect, the zone effect (littoral and supralittoral) and the interaction of both effects are significant for the factorial model since all the p-values (0.000) are less than 5%.
Influence of the PMBOK in the optimization of budgets in road infrastructure projects in Lima
The general objective of this article is to find a cost control system that, using the PMBOK, can efficiently budget road infrastructure works in Lima 2022. In order to achieve the proposed objectives, firstly, the guidelines for the proposal of a cost control system using the PMBOK to budget road infrastructure works were identified, secondly, the monitoring and control processes that allow budget this type of works and, finally, a guide was determined, so that the cost control system is efficient to budget road infrastructure works in Lima. 2022. The expected results in this research reflected in a guide are translated into an estimated cost of construction of the project, in accordance with the national reality in force at the time of the review and the feasibility of its realization. The conclusions that were obtained were that there is a positive influence of the application of the PMBOK Guide in infrastructure works, reducing costs and optimizing the budgets of this type of works.
A measurement instrument to assess engineering students´ knowledge about sustainable development
The purpose of this paper is to present a measurement instrument to evaluate the knowledge that engineering students have about sustainable development (SD) aspects. Sustainable development is a topic of upmost importance at the present, given the situation that our society is facing regarding the deterioration of our planet. This is mainly due to bad practices related to the way human beings have been using the resources the earth offers. The comprehension of the connection between our actions and the evolution of our planet are clearer now than before. The harmful effects of heat waves, draught, heavy rains, are among the phenomenon that tell us the earth is changing. In this sense, this study adopts a measurement instrument previously designed, to measure the understanding about SD among engineering students of Universidad Tecnológica de Panamá. The questionnaire was reviewed to adapt it to the reality of engineering students in Panama. The objective of the study is to present a measurement instrument capable of evaluating the understanding the students have about SD. A careful review of the literature was conducted to provide a good basis to confirm the main aspects that need to be incorporated into the question items. Four main aspects are proposed: environmental, economy, societal and educational aspects. Environmental aspects and SD are directly related, any development that humankind sets to accomplish has an impact on the environment and therefore on the sustainability of the world. Economy aspects are also strongly related to SD, the elimination of income inequalities, the empowerment of women, the promotion of youth employment and decent work for everyone are key objectives of SD. The full participation of the citizens in the economic system of every nation is a requirement of the agenda of SD. The societal dimension considers that every person has the responsibility as part of the society, to take action and protect the planet we live in. The new generations should be more aware of the role they could play as members of their community, solving problems and communicating effectively to make positive transformations. Finally, the educational aspects Students should acquire the competences that empower them to be proactive towards finding solutions for the environmental problems. The main purpose of education for SD should be to empower the students to be active in society and make changes that contribute to SD. In this regard, the teaching methodology should always set clear goals to accomplish students´ understanding of sustainable issues.
Probabilistic Modeling for Inventory Management Of Consumer Products with Independent Demand.
The main objective of this research article is to optimize the control of products in a fast-food chain, considering the variability of demand. According to the data generated from the sample, they provide us with great randomness in the sale of products, which generates uncertainty when establishing a certain value in the initial inventory, sometimes obtaining too much stock or lack of products, generating loss for the business. To solve this problem, a one-month sample of historical hotdog sales was carried out and they were analyzed in a Stat::Fit program to determine the probability distribution that the data follows, then the Monte Carlo simulation method is used together with to the normal probability distribution to generate approximate values ​​of the daily demand for this, the programming was done in Visual Basic for Applications (VBA) in Excel, in this way to execute the n times that is desired and have n observations on the behavior of the daily and annual demand for the product. To implement the EOQ model without shortage, which helps us with an optimal forecast of how much is the quantity to order and when to place the order, through the application of this model it is possible to obtain an order quantity of 46 packages. of sausages compared to the 50 packages requested by the local: thus, reducing purchasing costs by 8%.
Dyslexia recognition by handwriting using Convolutional Neural Networks
This project focuses on using technological tools to describe and classify handwriting behaviors in children. This in order to help a proper diagnosis of dyslexia. It was necessary to collect all the necessary information on Developmental Dyslexia. Thus studying the origin, characteristics, diagnosis, treatments, etc. There are several tests to carry out a diagnosis. These are focused on the phonetic behavior of the voice during a reading. In addition, reading comprehension tests, among others. It has been decided to develop a mobile application, which performs reading-writing tests in participants with and without dyslexia. Thus, finding a large number of patterns that can be studied, mainly related to Dysgraphia, Dysortography and Dyscalculia. After collecting the images from the tests carried out, the second part is to find an artificial intelligence model that allows them to be classified. 2 models were used: convolutional model 1 and the Unet model. These models gave promising results. Finally, the need to continue collecting more images of reading-writing tests in patients with dyslexia was observed.
Relation of the research indicators of the university rankings and the measurement of scientific production in Open Access
The evolution of university rankings over the years has been characterized by trying to respond to the shortcomings of their measurement systems and guiding the choice of students and academics in search of quality in teaching and research. where it seems that the rankings have outlined strategic lines aimed at meeting various objectives, including improving the accuracy of their indicators and expanding the measurements to other activities carried out by universities, however there are few indicators that promote or measure the open access of this research resources. The objective of this work is to identify the importance of the indicators of the university rankings related to the measurement and visibility of open access publications and to compare the coverage of the sources used in these indicators with other open access platforms used by academic institutions and research in Panama. The results obtained indicate that of the six rankings evaluated, only two use indicators that measure open access, but only one gives a percentage of barely 2% to this indicator, on the other hand, when making a comparison of the coverage of the fonts used. Through the ranking of universities and other open access platforms, it is identified that the open access platforms have greater coverage of publications where they almost double the number of integrated documents from Panamanian institutions in some cases and in some cases greater impact through citations.
Recycling of mining tailings into construction materials such as geopolymer cement.
Mining is an extractive activity of great importance for the economic development of any country. The Peruvian mining industry is one of the largest in Latin America and contributes to the country's growth by being a crucial source of income. Mining activities generate an increase in the production of waste, which in turn increases environmental pollution and has a negative impact on human health. For this reason, companies must incorporate the Sustainable Development Goals (SDGs) into their operations, consolidating global efforts in favor of environmental sustainability and economic development. The objective of this research is to determine the sustainability of geopolymeric cement production based on laboratory test results carried out on mining tailings in the northern Sierra of Peru. In this way, the pollutant agent (tailings) can be eliminated and a highly useful product (cement) can be generated. Once the chemical and metallurgical analyses of the tailings were completed, the objective was to minimize the presence of toxic elements for humans (heavy metals). After preparing the geopolymeric cement, physical property tests, radiometry analysis, and an economic feasibility study were conducted
Improvement at the Operation and Planning Level in the Electrical Workshop of a Mining Machinery Component Repair Center using Forecast Methods and Lean Manufacturing Tools
The objective of this study is to reduce the lead time for the repair of components for heavy machinery in the mining industry, through the use of forecasting methods and lean manufacturing tools, taking the electrical workshop of a mining company as a specific example for analysis. The study includes the development of the process diagnosis to identify the critical process, the key problems, their root causes for the validation of the proposed improvement tools, then the development of the Lean Manufacturing methodology and forecast models to improve the process indicators. and finally a technical and economic evaluation to demonstrate the feasibility of the proposal.
Curricular Update of the Study Plan of the Industrial Engineering Program of the Tunja Sectional Santo Tomás University
Industrial engineering is a discipline that focuses on the optimization of systems and processes. Among the competencies that industrial engineering graduates are expected to develop are the ability to analyze and design systems, human and material resource management, production planning and control, quality management, and decision-making. However, the industry and the job market are constantly evolving. Changes in technology, globalization, and competition force companies to continually adapt and reinvent themselves. In this sense, it is essential that study plans in industrial engineering are constantly updated to meet the needs of the market. The improvement of the curriculum in industrial engineering must be approached from different perspectives. Below are some of the areas to consider when updating the curriculum. Generic and specific skills are essential for the training of an industrial engineer. Generic competencies include communication skills, teamwork, leadership, ethics, and social responsibility, while specific competencies include technical skills in areas such as process engineering, production planning, and quality management. Technology is constantly evolving, and it is essential that industrial engineering curricula be updated to include the latest technological trends. Areas to consider include artificial intelligence, robotics, automation, and data management. Practical experience is essential for industrial engineering students to apply the concepts and skills learned in the classroom to real situations. Internships, company visits, and research projects are some of the ways students can be given the practical experience they need. Internationalization is increasingly important in the world of work. Curricula in industrial engineering must include elements that allow students to develop skills in an international environment, such as language learning and the possibility of academic exchanges. Improving the industrial engineering curriculum is essential to ensure that graduates have the necessary skills and competencies to face the challenges of the labor market. Updating in technology, the inclusion of generic and specific skills, practical experience and internationalization are some of the areas that should be considered when updating the curiculum.
Segmentation of University Students using Clustering and considering a Virtual Cycle
The present work had as purpose the creation of Grouping or Clustering Models for each specialty that the National University of Engineering has, with the purpose of carrying out tutorials focused on students who obtained low academic performance both in the face-to-face period 2019-1 and in the virtual period 2020-1. In this research, the CRISP-DM methodology was used to create the models, in addition, the necessary theory of Clustering is developed. The data used was purely academic. During the data analysis process, some important findings were found, such as the significant improvement in qualifications after taking a virtual cycle. The models used were K-means, DBSCAN, Affinity Propagation and MeanShift. To find the optimal parameters of each model in each specialty, parameter searches were carried out using the Silhouette Coefficient as the Performance Metric. Finally, to choose the best model, the Success Metric was defined as the number of groups generated by each model among students with low academic performance, then it was compared between the models and it was found that the Affinity Propagation model is the one that performs better for the application of focused tutorials.
DESIGN FOR IOT EMBEDDED BOARD FOR MONITORING BIOMEDICAL SIGNALS IN TELEMEDICIN
Due to the covid-19 pandemic, people were forced to spend the last 2 years in confinement due to the high rate of contagion that it presented. As a consequence, the term of telemedicine reappeared, many medical consultations went to the technological level, thus reducing the contact of people with the possible contagion from abroad, but the effectiveness of the consultations decreased since the touch and use of the equipment with those that doctors count to monitor the signals that the body provides to know its status. \\In this investigation, an embedded board with IoT functions was developed to monitor the vital signs of a person through analog and digital sensors, using a TCP protocol to transport the data. \\Using communication with the Ubidots web application for real-time data reading and data collection, thus creating a medical history to be analyzed by the doctor and having a better vision of possible risk scenarios in the patients health. \\The results were accepted as healthy people were examined in a controlled environment. The final prototype design proved to be effective and was reviewed by healthcare professionals who found that a tool like this could be very useful.
Project-based learning as a curriculum enhancement of bioinstrumentation in biomedical engineering
Bioinstrumentation is an area of interest in biomedical engineering. Currently a great variety of medical devices include instrumentation systems to monitor patients and control body functions with therapeutic purposes. Due to its importance, it has become a topic in the undergraduate degree programs at Latin America. This document analyzed the development and teaching of the courses around this topic in the biomedical engineering program at UNITEC, Honduras. Teachers have detected a difficulty of understanding topics by students, making them to limit the learning scope in the courses. The general objective of this investigation is to propose improvements to these courses, including its contents and methodologies applied in class, as well as the courses in the current curriculum. An analysis was carried out on the current curriculum at UNITEC to identify points of improvement. Also, an international benchmarking was developed to compare the requisites for coursing bioinstrumentation at universities in Central America and Mexico. The improvements proposal was developed with this data and the construction of a state of the art. The two identified areas that need improvement are the learning methodologies applied and the approach of activities in laboratories. Project-based learning has been identified as the best option to boost research and development of medical devices in the country, leading to improve the curriculum of biomedical engineers.
Analysis of the design of bicycle lanes using simulation of vehicular traffic on a main avenue in metropolitan Lima
As a result of the COVID-19 pandemic, many bicycle lanes have been built in the city of Lima, as an efficient and eco-friendly transportation system that, among its main objectives, is to encourage the use of bicycles as a means of transportation and ultimately reduce environmental pollution in the city of Lima. However, due to pressures on design times and poor planning during its construction, poorly located bicycle lanes have been generated that are not used by the expected number of users and, in the worst cases, have been built over vehicle lanes. This reduces the number of vehicles that can circulate along the stretches in question and increases the amount of emissions due to vehicular congestion. The present study aims to evaluate the advantages or disadvantages of bicycle lanes in a specific area of the city of Lima, developing a discrete simulation model that allows comparing vehicular congestion in different scenarios, with the subsequent purpose of optimally designing a network of bicycle lanes in that area.
Design of a Scale Fluidized Bed Dryer for Laboratory
The drying process is the most important stage required for conserving grains, cereals, and vegetables, thus avoiding the generation of fungi, allowing the product to be preserved for longer [1]. Therefore, there are several projects where tests are involved in the laboratories of Higher Educational Institutions to help with technology and food conservation issues for companies and agricultural communities. The drying technologies are assessed by determining each food's time, temperature, humidity, and drying speed. Through a valuation matrix, a type of dryer has been selected, which will be presented in this work, whose objective is to design and build a fluidized bed dryer for drying 2 kg of a wet sample, applying the reuse of materials (Circular economy) to reduce the cost of construction. We start with the applied methodological scheme for the design, engineering analysis of each part of the equipment, construction, and functional test of fluidized bed equipment at laboratory scale. As a result, the equipment works between temperatures of 50 ° C to 70 ° C, adjustable speeds between 4 to 11 m / s, drying time 8 hours, consumption of 1.7 kW / h, whit construction savings of 40%. Finally, we can conclude that it is possible to build drying technology on a laboratory scale where must consider the main source of energy, available area, noise and vibrations within the design in addition, a laminar flow must be supplied that allows a homogeneous drying of the produc
Family social climate and its relationship with Attention Deficit Disorder in students
The main objective of the present study was to determine whether the social family climate is related to attention deficit in students. The research was of an applied type, with a quantitative approach, of causal correlation scope and transectional cut, having a non-experimental-cross-sectional design. The population consisted of 692 students, using a probabilistic sample by convenience, 100 students were considered. The information in this study was obtained through the data sheet of the family social climate instrument (FES) and the data sheet of the CARAS-R instrument, reaching the conclusion that the family social climate has a significant relationship with the students' attention deficit. The results obtained in this research were 48. 5% of the attention deficit is explained by the family social climate, on the other hand, 17% mentioned that they have a bad family social climate, 54% mentioned that their family social climate is at an average level, while 13% indicated that it tends to good, 12% mentioned that their family social climate is good, finally 2% have an excellent family social climate, on the other hand, regarding the attention deficit variable, 40% of the students have attention deficit, while 36% present an average attention capacity and only 8% tend to good.
Inverted Classroom: an experimental analysis in times of pandemic
The implementation of the Flipped Classroom model in times of pandemic was a complete success, however, the previous implementation allowed for experience, both in teachers and students. It is necessary to mark the three moments of this model to understand that each stage is important. The before, during and after are decisive to consolidate learning. The objective of this study is to analyze the previous part (before) of the implementation of the Flipped Classroom model in the mathematics subjects that are taught in the first year of studies in the various careers. At the same time, a systematic review of the literature and the contextualization of mathematics difficulties were carried out. As a result, an improvement in the academic performance of the classrooms was observed, where a new way of working was developed, in which a video was added that included questionnaires that were necessary to complete in order to advance in the class Also, an improvement in grades. Finally, the research proposes the implementation of the flipped classroom, since motivating benefits are observed, such as student satisfaction.
Conceptual design for an additively manufactured building brick
Additive manufacturing (AM) is an attractive fabrication method in several industrial fields, including the construction sector, also called Architecture, engineering, and construction industry (AEC). This technique's popularity is continuously growing due to the benefits over traditional methods, such as rapid production, custom parts, and reduced material waste, offering opportunities to develop complex shapes with geometric freedom and a high degree of detail and achieving a high degree of automation. Addressing AM from the early stages of conceptual design allows greater exploitation of its benefits. Thus, this study tackles a conceptual redesign approach to adapt traditional blocks into additively manufactured blocks. The methodology was inspired by conceptual design as defined by VDI 2221, including design thinking mindsets as a source of idea generation. A functional analysis was performed to characterize this product and obtain two redesign options: internal diamond-shaped and rectangular-shaped cells, with the possibility of integrating phase change materials. A numerical analysis performed in ANSYS© coupled with Rhinoceros© and Voxelprint© showed that the rectangular-shaped cells using AM-adapted concrete complied with ASTM C90 standardized bricks.
Ortega Del Rosario, Maria De Los Ángeles
Social media, habits and their relationship with academic performance in university students
The objective of this research was to identify the forms of use of social media, lifestyle habits and to identify if there are links with academic performance, for this purpose a structured self-administered questionnaire was applied to a sample of 588 undergraduate students from two public universities in Peru. To identify the relationships between the variables, bivariate correlation analysis, and hierarchical correlation analysis were performed. The results indicate that students are characterized by having a lifestyle of few hours of sleep, very little time devoted to physical activity, and considerable time devoted to social media for entertainment and non-academic purposes. On the other hand, there is a direct relationship between time spent on social media and the scale measuring excessive use of social media, which reveals that there are indications of excessive use of social media that can negatively affect academic performance.
Determination of Hemeroby in Peru and its Relationship with Natural Factors and Human Intervention in the Biophysical Environment
Abstract — This document proposes the calculation of Hemeroby in Peru, examining the levels of relation of Hemeroby with the departmental factors of regional naturalness in the 24 Departments of Peru. The methodology used considers the data from the National Institute of Statistics and RapidEyeTM satellite images corresponding to the year 2019. Pearson statistical analysis, ANOVA and regression analysis were used as statistics. The article shows that the Departments with the highest Hemeroby in Peru are San Martín (57.93), Lambayeque (57.65), while those with the lowest Hemeroby are Moquegua (44.07), Ica (45.24). The mean of Hemeroby in Peru is 53.28 with a calculated error deviation of 0.878. A strong positive correlation between the variable "Natural pasture area / departmental area" and the variable " Altitude of the capital of the Department" (CC = .818, p .001) and, with the variable "Differential of the psychometric fan" (CC = .838, p .001) were found. Also founded a positive correlation between the variable "Altitude of the capital of the Department" and the variable "Differential of the psychometric range" (CC = .877, p .001) This research serves as a platform to identify critical points of increasing anthropogenic influence in rapidly developing regions of Peru.
Impact on urban drainage taking into account the rainwater harvesting in a rural district
Climate change is a reality in which we are all immersed, this situation generated by environmental problems, affects the rainfall that occurs in different parts of the world. These, increase on a large scale that even cause material damage in addition to human losses. Given this context, this research focuses on the collection of rainwater as a strategic means that will favor a rural district which presents intense rainfall, in addition to being one of the most affected by rains within the regions of Peru, through Said collection proposal will reduce the drainage flow that causes disasters to the population. The methodology of this study is made up of three stages. We begin with the characterization of the study area. Then, stage two is developed, which consists of hydrological modeling. Finally, the third phase consists of determining the volumes of water captured due to the runoff of precipitation on the roofs of houses, green areas and pavements. Resulting in a 3.15% decrease in the drained volume, which corresponds to the collection of reservoirs with a capacity of 400 liters/day in each house. Likewise, when the study area increases its socioeconomic level, reservoirs with a capacity of 875 liters/day can be integrated in each house, thus having a 6.89% reduction in the volume drained.
Heterogeneous UV/TiO2 photocatalysis applied to the removal of arsenic from acid mine drainage
The generation of acid mine drainage (AMD) represents one of the main challenges that mining companies must deal with daily. Despite the success of conventional methods, some elements, such as arsenic, are difficult to remove, even under highly basic conditions, so new environmental remediation methods need to be explored. This work seeks to broaden the knowledge of heterogeneous UV photocatalysis, a technique that uses nanotechnology to remove toxic compounds, and it has already been successfully tested in organic solutions and wastewater however, its applications for acid mine water have been tiny explored in the literature. The results of experimental tests using AMD solutions obtained from the district of Hualgayoc, Cajamarca, in an environment irradiated by sunlight and ultraviolet light are summarized. They show an arsenic remotion greater than 87% at a pH of 2.5 under a concentration of 10% TiO2 after one hour of agitation and irradiation with ultraviolet light. This serves as a starting point for new research that favors the development and application of sustainable technologies in the mining industry.
CONTINUOUS IMPROVEMENT AND PROFITABILITY IN THE COMPANY TRANSPORT COMPANY COMPANY PERUANA DEL NORTE S.A.C. TRUJILLO 2021
The high level of competitiveness seen subjected to modern industry, causes companies to constantly speed up and rethink their operational processes in the company. Within it, one of the largest strategies is the application of continuous improvement, applying very useful tools when diagnosing a process of poor or efficient process. Design a methodology continuous improvement on it. Various tools were used of continuous improvement, based on a situational analysis, based on Therefore, the management proposal considers: the design of a adequate methodology for user service processes likewise, a methodology for continuous improvement of the quality in order to generate a budget for the design of the plan. Of In this way, the research concludes that the management design of the continuous improvement methodology is related to and influences directly on the level of customer satisfaction, because if this is managed efficiently progress is made in the processes, personnel relations and procedures final administrative costs of the institution, all this allows us to the optimization of resources and an improvement in profitability of the company The research article aims generally identify the relationship that exists between the improvement continue with profitability
Impact of an epistemic-suggestive feedback program with ICT resources on the writing of argumentative texts
To face the challenges generated by the health emergency, many Peruvian universities implemented digital resources to support the learning processes of written argumentation. However, these resources require further support to generate satisfactory learning outcomes. In this sense, the objective of this research is to analyze the impact of an epistemic-subjective feedback program mediated with digital resources on argumentative writing in university students. The approach is quantitative to compare initial and final values ​​of the effect of the program in two groups (control and experiment). The sample comprised 338 students and the results were analyzed with their own rubric. The results showed that the feedback had a significant impact on the experimental group, since it reached the Outstanding level (17.39) On the other hand, the control group reached the Expected (14.97), which meant that the epistemic-subjective approach with ICT resources, used progressively and rationally for feedback, helped to improve. However, it was possible to verify that the program mainly improved the level associated with the content (pertinence of ideas, in solidity of the explanation and in the relationships of ideas), which allowed students to improve their ability to argue and support their reasons with logical facts.
Difficulties of VHF communication in the region of the Valley of the Apurimac, Ene and Mantaro Rivers in Peru: Challenges of a mountainous area and dense vegetation
VHF communications in the region of the Valley of the Apurímac, Ene, Mantaro - VRAEM rivers, in Peru, a mountainous region with dense vegetation, are difficult to establish due to the characteristics of the rugged geography, weather conditions and to the vegetation. In this regard, in order to reduce the difficulty of VHF communications in the jungle region, studies have been carried out proposing the use of upper troposphere propagation. However, this technique has several limitations, such as its dependence on specific meteorological conditions and the need for specialized equipment and trained personnel for its use. In addition, in the Amazon region, humidity and clouds can hinder propagation through the upper troposphere, which reduces its effectiveness. Given the strategic importance of the VRAEM region in the fight against drug trafficking and terrorism, the lack of effective communications could jeopardize military operations and the safety of people in the area. In this sense, efforts are being made to improve communications in the region, such as the exploration of alternative technologies and the training of personnel specialized in communications in areas that are difficult to access. The Peruvian Armed Forces in the VRAEM that conduct operations against terrorism and drug trafficking, have carried out various tests and corroborate in practice the technical limitations that scholars raise. Therefore, it is necessary to continue researching and exploring new technological options to improve communications in the region, in order to guarantee the effectiveness and safety of military operations and the protection of the population.
Sustainability and fair trade in a dairy producing company - Peru, 2022.
The present study aims to determine the relationship between sustainability and fair trade in a company in a dairy producing company, 2022 a basic investigation of a quantitative non-experimental cross-sectional approach was carried out, of a descriptive correlational type, the population and sample consisted of 20 providers. The technique used in the study was the survey, likewise, the questionnaire was applied as an instrument. Finally, it was demonstrated that there is a considerable positive relationship between the variable of sustainability and fair trade in the company, These results were verified through the Rho Spearman coefficient, obtaining a correlation of 0.542* a significance level of 0.013, this being less than 0.05, that is to say that the variables are related to each other, demonstrating that sustainability and its dimensions are effectively related to fair trade because they go hand in hand, trade will achieve inclusive development , fair and sustainable, through the promotion of production patterns and alternative and supportive consumption which proposes sustainability.
Masks generated during the Sars-Cov-2 pandemic and the management of their waste by university students, Lima - 2022
La presente investigación se encarga de describir el uso y manejo de residuos de las mascarillas generadas por universitarios durante la pandemia de SARS-CoV-2, en Lima en el año 2022. Los aspectos esenciales de la metodología, tomados en consideración son el enfoque de estudio, ya que es de tipo cualitativo el cual se caracteriza, porque busca la aplicación de conocimientos, es de tipo exploratorio ya que se generará una nueva hipótesis y es transeccional. Asimismo para la presente investigación se tomó muestra de 74 estudiantes para los cuales se utilizaron los siguientes criterios de inclusión: estudiantes universitarios de Breña en Perú, para el criterio de exclusión se consideró a los estudiantes que generan otro tipo de residuos y que viven en otro departamento. Además se encuestó a las personas de manera virtual, esto en adelante será útil para poder hacer una encuesta de manera masiva el instrumento utilizado para este trabajo de investigación fue el cuestionario, el cual fue validado por tres ingenieros ambientales especialistas en la materia. Finalmente en los resultados se evidenció en un 50% qué es necesario el uso de mascarillas, el 32% desconoce su identificación de este residuo (mascarilla), el porcentaje de las personas que disponen de otro tipo de contenedor, sus mascarillas resultaron ser un 72.9%, el 32.4% no puede respirar con facilidad al Utilizar la mascarilla, 44.6%, utilizan KN95 y el 36.6 % siendo un porcentaje cercano al 40.00 %, de personas que utilizan las mascarillas durante 2 días. Palabras Clave: Mascarillas, SARS-CoV-2, uso, efectos secundarios y segregación de mascarillas.
Decarbonization of the Electricity Sector Using Solar Photovoltaic and Wind Generation: A Systematic Review
From the review of the articles, it is confirmed that the insertion of renewable energies such as solar photovoltaic and wind energy, which, for the purpose of supplying the demand for electricity, contribute to reduce the greenhouse gases resulting from the environmental pollution generated by conventional power plants and thus decarbonize the electricity sector. Likewise, the State is required to implement training activities, promote a regulatory framework to encourage the massive use of renewable energies and evaluate the technical capacity of the facilities to absorb, without problems, the growth of these important projects that use natural resources
Gestión de la educación y desempeño del docente universitario de una facultad de ingeniería - Perú
The management of university education has gained relevance and investigative interest with the advent of the pandemic, since the educational and administrative virtuality has allowed improvements in management processes. In this way, the purpose of the study was to establish the influence of educational management on the performance of the university professor of a Faculty of Engineering in Lima. It has been based on a quantitative approach and descriptive and explanatory scope, with the voluntary participation of 216 university students from a faculty of engineering studies in Lima. The results showed an efficient level in the management of education (76.9%) and a good level in the performance of the university teacher (67.6%) according to the perception of the university students. Therefore, it was concluded that the management of education does influence the performance of the university teacher, being significant (p = 0.000 0.05) and a 76.5% variability in which the model is valid to predict the performance of the teacher.
Methodology for Estimating Costs of Accidents and Labor Incidents. Case Study in the Area of Transportation of Hazardous Materials
This paper proposes a methodology to estimate the costs of accidents and incidents at work in a company in the field of transportation of hazardous materials and cargo in general. For which, data provided by a company in the field located in the City of Chiclayo was used during the period of 2017-2019. The proposal is based on the analysis of three methodologies for the Economic Evaluation of Work Accidents: the first proposal by the National Institute of Safety and Hygiene at Work (INSHT) of Spain the second, by the Basque Institute for Occupational Safety and Health (OSALAN) and the last, by the British Columbia Workers' Compensation Board (Work Safe BC), where it was possible to identify two variables in which the 3 methodologies coincide, and the similarity of the methods in which it stands out: The reliability of the results, the ease of completing the required data and the adaptability for implementation in different areas. Then, it was possible to structure a method from the integration of the 3 selected methodologies, the same one that was applied to the company mentioned at the beginning, obtaining as a result a similar Total Cost with the other methods. In conclusion, the proposal made generates reliable data, in the same way, due to its adaptability, the tool serves as a stimulus for the management of hazardous materials transport companies to make better decisions on preventive matters and, consequently, obtain a reduction and better management of the costs of these events.
The objective of this paper is to show a simulation model of an assembly line. To this end, the use of the basic ideas of the CDIO initiative and the universally accepted methodology to develop simulation models using the discrete event method are proposed as a development methodology. By applying the methodology, a model of a hypothetical refrigerator assembly line is developed.
Closing the gender gap in STEM: a call for the inclusion of women in science and technology
The participation of women in STEM (Science, Technology, Engineering and Mathematics) fields is essential to achieve gender equality and to ensure that global challenges are addressed effectively. Women are often underrepresented in STEM fields, resulting in a significant loss of talent and prospects. Furthermore, the lack of diversity in these fields can lead to incomplete solutions or even wrong decisions that do not take into account the needs and concerns of the entire population. The inclusion of women in STEM is especially important because it can inspire and motivate the next generation of women to pursue careers in these fields. Having more female role models can change the perception that STEM fields are only for men, and can foster a more inclusive and diverse environment. In addition, studies have shown that work teams with greater gender diversity are more innovative and effective. On the other hand, the exclusion of women in STEM not only harms gender equality, but also has economic consequences. The lack of participation of women in these fields means that valuable opportunities for economic growth and innovation are lost. According to a UNESCO report, closing the gender gap in STEM could increase global GDP by up to 2%. In sum, the participation of women in STEM fields is crucial to achieve gender equality and to address global challenges effectively. By including more women in STEM, innovation, economic growth, and diversity of perspectives can be fostered, and the next generation of women can be inspired to pursue careers in these fields.
A Multivariate EWMA Control Chart with fuzzy approach for multinomial variables.
The aim of this paper is to improve the response of the Multivariate Multinomial Fuzzy T2 control chart to detect small shifts by the implementation of a MEWMA control chart. In this research a multivariate control chart based on the MEWMA chart is proposed to improve the sensitivity to detect small shifts in the vector of means of the T2 chart with fuzzy approach presented in the literature, to deal with p correlated multinomial multivariate variables. The parameters for the chart are obtained from historical data and the control limits by simulation. The performance of the new chart proposed is compared with the performance of the T2 control chart through the Average Run Length (ARL) value. The performance of this new chart can be obtained through a program developed by the authors.
Scenarios for technology transfer between university and industry.
Abstract – From the constant challenges that the different economic sectors in society propose at a competitive and innovative level, and from the constant work of generating knowledge that is developed in universities, it is expected that the use of advanced research results can be seen as alternatives that mitigate the needs of the industry and therefore contribute to the strengthening of the market in the different economic contexts, reaching an impact on social, environmental and political phenomena of innovation ecosystems. However, in the face of technological development initiatives in the territories, it has been found that the articulation between the university and the industry has been limited by different factors, among which is the absence of information related to opportunities for the maturation of technologies, or including use and exploitation of these. However, a possible solution is found in the structuring of technology transfer strategies that the networks of actors can promote in their ecosystems, including in turn the intermediaries or facilitators of innovation, recognized as possible links that allow strengthening the networks of innovation in different situations that seek to generate cooperation, alliance or collaboration agreements between the university and industry. In this sense, the search for information related to possible models of articulation and generation of technology transfer scenarios has been carried out, where the inclusion of the inventors of the university and the technological recipients of the industry are highlighted. For this work, the Scopus database has been used, and a set of scenarios have been proposed that relate the topics under study.
Improvement proposal to increase performance by applying redesign of stations and work methods together with a preventive maintenance plan in a LPG bottling machine
Performance is synonymous with achieving favorable productivity for the organization. In other words, it is to obtain the maximum results with the minimum use of resources. In the case study, the performance in the LPG cylinder packaging process was 75.88%. However, the productive performance of the sector is 83.47%. This generates a technical gap of 7.59% causing the dissatisfaction of the demand for the production of LPG cylinders. Faced with this situation, a model was created that combines the redesign of stations and work methods with the implementation of a preventive maintenance plan. The objective of the model is to reduce the distances traveled by the material, the amount of paint wasted, labor fatigue in the operators, activities that do not generate value, and failures of the packaging scales. The main results were that the number of balloons leaving the system increased by 68 balloons per hour. Also, the average system time to pack a ball is reduced by 1.88 minutes. In addition, the percentages of balls that drop due to excessive weight and failures are reduced by 5 and 6%
Peruvian Sign Language translator for people with hearing and/or communication disabilities using a convolutional neural network
Promoting the social inclusion of people with deafness and/or communication disabilities is a priority for many countries. For this reason, considerable emphasis is currently being given to machine learning (ML) and deep learning (DL) techniques for sign language recognition and translation, as they can be a significant contribution to the social inclusion of the deaf and/or deafened community. Thus, the present research proposes the development of a translator of Peruvian Sign Language (PSL) for the recognition and translation of static signs belonging to PSL through a convolutional neural network (CNN). These signs are the numbers from 0 to 9 and the letters of the alphabet except J, Ñ and Z because they are represented with movable signs and the letters O and W because they are very similar to the numbers "0" and "6". To achieve the development of the translator, a balanced database for PSL was built from scratch, consisting of 700 images for each static sign, for a total of 22400 images. These images have a dimension of 80x80 pixels that go through a preprocessing stage, 3 convolutional layers, filters, kernels, ReLu and MaxPooling activation functions. Experimental results show that the translator recognizes static PSL signs with an accuracy of 90%, 86% and 81% for training, validation and testing respectively.
Development of a Mechanisms Kit for hands-on learning for Mechanical Design Engineering Courses
This work introduces an easy-to-fabricate, versatile, and affordable mechanisms kit developed as complementary material for mechanical engineering courses. This kit allows easy physical assembly of different mechanisms that enable deeper comprehension of mechanical concepts, validation of results, and easy visualization of mechanisms through an iterative, exploratory, and reflective process. The kit contains an acrylic base with perforations, acrylic and 3D printed mechanical components, M3 screws, and measuring elements. Its design is based on the hands-on learning approach proposed by constructivist Jean Piaget and principles of the didactic materials introduced by Maria Montessori. The article presents a detailed description of the kit and implementation examples.
Influence of Gender on the Entrepreneurial Intention of University Students in Guayaquil
Entrepreneurship is one of the main sources of income for developing countries, especially in Ecuador, where family businesses represent a large part of the country's economic entities. Therefore, this work analyzes the entrepreneurial intention in a sample of university students in Guayaquil, Ecuador, using the theory of planned behavior proposed by Azjen [5] as a theoretical model. The questionnaire used for data collection was based on the work of Liñan and Chen [4], from which 332 valid records were obtained. Subsequently, the influence of entrepreneurial attitude, perceived control and subjective norm on entrepreneurial intention was evaluated, through a structural equation model (SEM) specification considering the difference between men and women. The results showed that, although women have a greater willingness or attitude to undertake, they are limited by their low level of perceived control and high vulnerability to subjective norms. These results provide inputs for the promotion and promotion of entrepreneurship in specific groups according to their needs.
Hydrological modeling using satellite precipitation in the Huallaga river basin
This study deals with the evaluation of satellite precipitation from the Global Precipitation Measurement (GPM) project applied in the Huallaga River basin by means of large-scale hydrological modelling. Time step was considered daily, parameter calibration was executed by trial and error and streamflow data were considered for a single station. The results showed low performance in terms of Nash-Sutcliffe efficiency. Visual analysis of the hydrographs showed an underestimation in the streamflows calculated by the hydrologic model when compared to the observed flows at the Chazuta station. The preliminary conclusion of this modelling process indicates that the satellite precipitation from the GPM project is not yet reliable for the Huallaga River basin.
Design of a Bench of Tests for Heat Transfer by Pipes for Teaching in Electrical Mechanical Engineering
This work presents a bank of heat transfer tests by pipelines from which experimental experiments are conducted by conduction and convection, and in this way, to analyze the results of this phenomenon of theoretical and experimental manner. Specifically, to evaluate the efficiency in the pipes, among which are a simple one, with fins and another with thermal insulation. Using different thermal insulators, one at a time and separate. In this set of tests the experimental results are recorded and verified by a thermographic chamber, instrumentation commonly used in the academic field of engineering branches that teaches topics related to the science of heat transfer, which illustrates in a didactic way difficult problems to visualize, solve It is always impossible to discover these physical phenomena exactly.
The sustainable tourism industry and big data developments in its supply network.
The research is aimed at analyzing different models of tourism systems, as well as a comparison between the main theories of supply chains and how they can lead to the design of a new tourism system that integrates more actors in a supply network, in addition, it is presents how much Big Data tools are used in the sector, for this, some interviews and observations were carried out to first identify the actors that are effectively related to the network, as well as the level, use and problems of the actors in the sector. effective use of information to adjust their strategic objectives and sustainability of tourism businesses. It seeks to establish if the information management carried out by the network actors is adequate to improve the service and if they are using Big Data tools that contribute to the improvement of the services that are provided for which they will be used as methods, tools of prospective, AHP and analytical techniques, supported by field visit data, interviews and direct observation Finally, the pertinent recommendations were raised for the improvement of attention to tourists, and to approach green engineering with the improvement of processes hand in hand with conservation and environmental recovery.
Professor teaching styles and the academic engagement of engineering students in the return to face-to-face education
After two years of social isolation, the educational dynamics have to be re-adapted to a new face-to-face, where the demands and expect ations of the students are not the same as before. The professor continues to be an important part of learning, so his attitude and way of teaching could be linked to the effort of students to achieve their academic goals. Therefore, the main objective of the study was to know the relationship of the professor's teaching style with the academic engagement of engineering students. The research was quantitative, correlational and non-experimental cross-sectional and the effective sample was made up of 167 engineering students from Lima, Peru. According to the results, the majority of professors present a formal and structured style, however it is the open style that presents a positive, high and significant correlation index with academic engagement and its own dimensions. Additionally, it has been seen that women present more engagement than men, as well as industrial engineering students.
Sustainable electricity generation through apple waste
Due to the increase in the production of fruits for consumption and export, large amounts of waste from the same fruits are being generated, causing a great environmental problem, especially in developing countries that do not have an adequate process for their use or treatment. In this context, microbial fuel cells are presented as a novel technology that could provide a solution to this problem in the future by reusing organic waste as an energy source. In the present work, microbial fuel cells were manufactured on a laboratory scale using apple waste as a substrate with Zinc and Copper electrodes. It was possible to generate electrical current and voltage peaks of 7.567 ± .0117 mA and 1.452 ± 0.023 V, which operated with an electrical conductivity of the substrate of 152.326 ± 4.58 mS/cm and with an acid pH on day 16, where it was observed their maximum values. An internal resistance of approximately 31.548 ± 4.871 Ω was found, whose power density was 466.27 ± 16.824 mW/cm2 at a current density of 4.424 A/cm2. The microbial fuel cells were connected in series managing to generate a voltage of 3.17 V, enough to light a red LED light.
Systematic review on the use of wastewater treatment in concrete manufacturing during 2018-2022
Annually, the construction industry consumes immense amounts of natural and potable water, a fact that is already generating scarcity problems worldwide. The present systematic review aims to determine what has been the effect of wastewater treatment as a strategy for concrete manufacturing during 2018-2022, this in order to give scopes to the scientific community about a possible alternative resource to solve the problem. After searching for information in various electronic databases, 25 documents that develop the variables "treated wastewater" and "concrete" were selected. On the one hand, bibliometrics was applied to determine the scientific activity on the subject. On the other hand, to determine the effect of treated wastewater on concrete, its fresh, solid and durability properties were analyzed. Finally, it was concluded that it is possible to take advantage of treated wastewater instead of natural/potable water, since the variations in the properties of concrete are minimal. Some recommendations were also made to try to make the problem more visible.
The researcher gap and regulations in the university system: an approximation for its calculation during the year 2021 in Peru
Academic research is one of the engines of a country's development through its university system, and it is so important that for the granting of the first institutional license a minimum of 3% of researchers was required in relation to its teaching staff. The objective was to estimate the researcher-teacher gap in the public university system based on the data processed in the first licensing carried out by the National Superintendence of Higher Education SUNEDU. The quali-quantitative method of documentary review was used, and an equation was proposed to calculate the gap in each university with the parameters: number of teachers and students, whose variables are target rates that each university can set according to its strategic plans, programs and resources. The population was 6880 researchers qualified by the National Scientific Technological and Technological Innovation Registry RENACYT at the end of 2021 and the sample was 2314 researchers from the 46 licensed public universities. It is concluded that 29 universities (63%) would have a gap of 1637 researchers and that with the proposed model 80.4% of public universities would exceed the 5% ratio of RENACYTS researchers in the next licensing in Peru
Enhancing The Properties of Cellulose-Based Polymers for Potential Use In Membrane Applications: A Literature Review
Abstract: There is increasing attention towards materials that are environmental-friendly, low-cost, and accessible. Natural polymers such as cellulose are used as substitutes for petroleum-based polymers. Cellulose is the main constituent of all-natural fibers and is porous, inexpensive, and hydrophilic. Cellulose is also suitable for converting petroleum-based polymers into more eco-friendly materials. Several fields, such as aerospace, the automotive industry, and the military, have taken advantage of cellulose-based materials. One field where cellulose-based materials have proved their value is water treatment. Two approaches to boosting the cellulose’s potential use in membrane applications for water treatment are the synthesis of cellulose-based composites and graft copolymerization of cellulose. Both approaches have successfully enhanced cellulose’s mechanical properties. This paper mayor contributions are a) The calculation of mechanical properties from the graphs to be used as a source of information for simulations. b) The summary of the methods and tests results to decide what sources of cellulose are available to emulate the trials and enhance polymers properties for different applications such as membranes for water. Keywords: Cellulose, Polymer composites, Graft Copolymers. Membranes.
Experimental Implementation of the content in the subject of Design of Experiments for the training of the Industrial Engineer
In this article, we worked with the students who took the Design of Experiments (DoE) subject in the academic semesters 2019-1 to 2021-2, both in the face-to-face and non-face-to-face modalities for the training of the Industrial Engineer, in the Faculty of Engineering of the Ricardo Palma University (URP), in Lima, Peru. Likewise, the analysis of the ranking of Peruvian universities that make use of the DoE in their curricular structure was used in order to gain knowledge of the application of the DoE in the university environment. This article describes the experimental implementation of the DoE course as a viable motivational alternative, which included the identification of the problem and the model variables, the formulation of the hypotheses, the materials, the randomization process and repetitions, carrying out the experiment. The results in the ANOVA (analysis of variance) indicate the significant differences between the form of formative evaluation in theory-problems and the evaluation in the resolution of problems supported by the experimental field, constituting the latter as a field capable of generating greater motivation. for students, allowing them to progress in their abilities and skills, as well as overcome their limitations and obtain a greater operational understanding by applying the DoE statistical tool to obtain success in the industry within the professional field. Therefore, this article shows the didactic importance of the DoE subject at the undergraduate level, for the Industrial Engineering program at the URP, intending to encourage other universities so that they can incorporate this subject at the undergraduate level and thus way to take it to the experimental training field, as a great contribution to strengthening the integral of Industrial Engineering students and related programs, contributing to improving the quality of teaching. Finally, it should be noted that the importance of didactics in the teaching and learning processes is fundamental, because it allows educational innovation, so that teaching can achieve a substantial improvement in student learning.
Machine Learning applied to Projected Financial Statements (PFS)
Projected financial statements represent one of the most reliable sources when it comes to making decisions involving the company's long-term performance. Therefore, finding methods to optimize their preparation and accuracy is the holy grail of financial accounting. The objective of this research is to use machine learning in projected financial statements, in order to obtain more accurate data through training in a tetradimensional space or also called Euclidean space of n dimensions.
Analysis of soft skills in UTB graduates with the Educatio 2.0 instrument
The purpose of this research focuses on the design of an instrument to measure the level of appropriation of soft skills, of the final students of the Technological University of Bolívar (UTB). The study aims for the validation of said instrument so that a reliable and effective tool is provided for Higher Education institutions. The study presented in this publication is exploratory in nature and used a cross-sectional qualitative research design. A preliminary instrument was designed, which was subjected to review processes through descriptive, correlation and inferential statistical analyses, which allowed establishing the determining dimensions and questions, in order to measure the appropriation of the defined soft skills. Based on the above, a reliable instrument is provided, to the existing gap in the supply of this type of evaluation instruments, which can be decisive in the search for evaluative elements that guarantee that the training in soft skills in the institutions of higher education, is being appropriated by its graduates.
Detection of pesticides in fruits such as strawberry plum, apple and cape gooseberry using an electronic tongue and nose.
Pesticides are highly toxic chemical compounds used to control pests (insects, weeds, fungi, among others) and diseases that attack crops. In addition, they are potentially dangerous for humans and can have an acute or chronic impact on health depending on the amount and channels of exposure. The present investigation was based on the implementation of the electronic nose and tongue multisensory systems as instruments capable of detecting the presence of pesticides in fruits, because they have been implemented in different fields of the industry as devices capable of classifying and discriminating different contaminants or assess the quality of food. The fruits used in this study were plum, strawberry, apple and cape gooseberry which were contaminated with different pesticides such as: Amistar, Funlate, Across, Bricol, Curzate, Daconil and Preza respectively. For this, solutions with a concentration of 10 ppm of the pesticides were prepared, which were applied to the fruit by means of aspersion in the case of the electronic nose, in terms of the electronic tongue, it became necessary first to macerate the fruit and obtain an extract to add the solution.
Reconfigurability for higher supply chain performance
Nowadays, Supply chains are subject to high variability due to the instability and uncertainty of the markets. Market turbulence requires a higher connection and an accelerated reconfiguration of their productive capacities. That implies rapid changes and cost-effectiveness in response to demand change. Therefore, this paper explores the role of reconfigurability SC as a driver of SC performance. This deductive research aims to evaluate the effect of each reconfigurability dimension on SC performance and analyze the sectors that show higher manufacturing reconfigurability processes levels. We hypothesize that there is a positive and significant relationship between reconfigurability aimed at reducing time and effort in the SC performance. By employing the hierarchical regression analysis on the HPM survey database on a sample of 309 manufacturing Plants, we find that some reconfigurability dimensions explain at least 15% of SC performance, at the time, we find some companies prefer to improve reconfigurability dimension that directly impacts on manufacturing cost than dimension that requires restructure machinery and layout to diminish lead time, due the cost, time, interface, and other issues required
ENVIRONMENTAL AWARENESS AND SOLID WASTE MANAGEMENT IN STUDENTS OF THE SAN IGNACIO DE LOYOLA PRIVATE EDUCATIONAL INSTITUTION IN 2022
Abstract: One of the biggest challenges facing society in the 21st century is environmental pollution, damage to nature, overexploitation of natural resources, among others, in this sense engineering plays an important role in solving problems. , responding to the demands through environmental engineering, which seeks to provide tools to professionals to improve care for the environment, however we consider that we must do an articulated job from educational institutions, working to raise awareness among students from early stages of their student development. The objective of the research seeks to determine the relationship between awareness and environmental management of solid waste in the San Ignacio de Loyola Private Educational Institution - located in the Vipol urbanization, Callao, in 2022. The research methodology is correlational with a quantitative approach and non-experimental design. The sample is not census probabilistic of 61 high school students. The results were obtained from the SPSS statistical program and Spearman's Rho coefficient to verify the hypothesis, it was concluded that there is a relationship between the variables of environmental awareness and solid waste management, with 0.627 of moderate positive consequences according to the Spearman's Rho coefficient, showing a relationship is very significant with a confidence of 99%.
Current perspectives in conductive materials research : a review of research trends.
The objective of this article is to carry out research through the review of updated scientific publications on the working conditions of conductive materials, focusing mainly on the studies of three continents recognized in technological and scientific topics, especially on the different types of new conductive materials with significant contributions. Countries from Latin America, North America and Europe were selected to identify the main conductive materials, their characteristics, and properties, to analyze possible solutions to everyday situations. Therefore, a process of search and interpretation of 51 articles of references from countries belonging to this group was carried out, to achieve the elaboration of an information matrix that served in the organization and establishment of the useful contents for the article. Subsequently, the results of the research, ideas and debates were presented in a clear, concise, and reliable manner, using the analysis of the leading materials and their characteristics outside the country, to have a perspective and recognition of attention to the impact generated during the development of projects with respect to economic issues and their use.
Theoretical estimation of the conversion efficiency of a GaAsP/GaAs quantum dots intermediate-band solar cell
The theoretical efficiency of a quantum dot intermediate-band solar cell is estimated from a mathematical model based on the Kronig-Penney equation. The spectrum solutions for the two lowest energy states are calculated numerically using Wolfram Mathematica software. These energies determine the boundaries of the intermediate band produced by GaAs. With these results, the energy conversion efficiency is calculated. The behavior of the efficiency is analyzed based on the concentration of As, the dimensions of the quantum dot and the separation distance between them. The results obtained show an improvement in efficiency.
Effect of the Substitution of Co by Ni on the Crystal Structure and Magnetic Properties of Cobalt Ferrite Nanoparticles
Ni1-xCoxFe2O4 (x = 1.0, 0.8, 0.6, and 0.5) nanoparticles were synthesized using the coprecipitation method and subsequent thermal treatment at 800 °C. The structural characterization of the nanoparticles was carried out using X-ray Diffraction, finding that all the compounds presented a single crystalline phase corresponding to the cubic spinel structure. As the concentration of Ni in the compounds increases, a decrease in the lattice parameter was obtained because of the fact that Ni2+ cations are smaller than Co2+. The size, morphology and dispersion of the nanoparticles were analyzed by Transmission Electron Microscopy, finding that the nanocompounds are formed by aggregates of nanoparticles with irregular shapes and mean particle sizes between 34 and 42 nm. The magnetic properties of CoFe2O4 and Co0.5Ni0.5Fe2O4 nanoparticles were studied from magnetization measurements as a function of temperature, in ZFC and FC modes, and magnetization measurements as a function of the applied magnetic field. It was obtained that the nanoparticles are in the blocked magnetic regime in the temperature range from 5 to 320 K. At 5 K, the compounds have large coercive fields of 10683 and 7518 Oe, for CoFe2O4 and Co0.5Ni0.5Fe2O4, respectively. It was found that the values of saturation magnetization, remanent magnetization, and coercive field decrease when replacing Co2+ by Ni2+ in Co ferrite, because the magnetic moments of divalent nickel cations are smaller than those of Co2+ cations.
Roles and challenges of innovation, industry 4.0, and sustainability competencies development in engineering students
The graduate competencies of students must frequently adapt to the needs of the market so that they can increase the competitiveness of countries. In the case of engineering students, these competencies are changing ever faster. Including Industry 4.0 technologies and innovation in different fields implies a multidisciplinarity in the development of these students. This work has focused on the available literature answering what competencies and methodological strategies are used in the training of engineers. In addition, it has sought to understand the role of the actors of the educational systems and other factors that influence them. In this sense, the competencies related to sustainability, innovation, and industry 4.0 have recently presented an important development in the training of engineers since it allows them to face present and future social, economic, and technological challenges. These paradigms reveal that both teachers and students are immersed in a continuous and changing training system. In turn, it reveals the challenges of current educational systems at the university level and from K-12 in executing the appropriate instruments for developing and evaluating these competencies.
Pedagogical dimension of the evaluative culture of learning and student satisfaction
The objective of this research was to determine the relationship between the perception of the pedagogical dimension of the evaluative culture of learning and student satisfaction in virtual courses. A quantitative approach was used and the research design was non-experimental with a cross-sectional cut, since data collection was carried out at a single point in time. The study was conducted with a population of 188 students from a private university in Lima. The results obtained showed that there is a direct correlation between students' perception of the evaluation culture and the satisfaction they express regarding their evaluation. This perception is determined by different aspects, among which the pedagogical dimension is included.
LinkedIn as a networking tool, to boost job opportunities in university students.
The present project was conducted in order to evaluate whether students meet certain criteria that employers use most frequently in their recruitment processes on the LinkedIn professional platform. Using the Iceberg model proposed by Spencer Spencer (1993) and the Competency Model of Martha Alles (2006), students of the Escuela Superior Politécnica del Litoral who are studying Integrating Subject in the II PAO 2022, a period that corresponds from September 26, 2022, to February 17, 2023, are evaluated, applying observation guide through the review of profiles on LinkedIn allowing to identify strengths and weaknesses before the recruitment processes. This study also evaluates the profiles of the main ESPOL employers to identify the criteria expected to be evidenced by the student in the process of graduation in their LinkedIn profile. Subsequently, the information obtained was coded by authorized ESPOL personnel and finally, the results were obtained. One of the main ones is that thirty-four percent of graduating students do not have a LinkedIn profile. One of the faculties with the highest participation in the platform is the Faculty of Natural Sciences and Mathematics.
Methane emission measurement wireless system for monitoring air pollution close to Chilla-Juliaca landfill
In many countries, most organic waste is usually placed in landfills, which generates public concern about the health effects of emissions pollutants. The natural bacterial decomposition of organic waste produces landfill gases, about half of the methane, with the remainder mainly carbon dioxide and minor amounts of other gases. Real-time measurement and modeling of emissions gases in landfills are essential. This work develops a low-cost wireless measurement system using MOS gas sensors (MQ4, MQ5, and MQ9), a 32 bits microcontroller, an XBee module, and HC-12 wireless communications modules. The system can be mounted on an uncrewed aerial vehicle (UAV, drone) or deployed as a wireless sensor network. Experiments have been carried out near a closed landfill, and measurement results show high methane concentrations.
Good Practices in Construction Contracts for Reimbursable Costs
In the construction sector, contracts are constantly tested by the contracting party and the contractor, deficiencies in these often mean that the expectations of each party are not satisfied, leading to litigation that negatively affects the relations between the parties. This document proposes a case study of a representative construction company in the construction industry, where contracts for reimbursable costs are not generating the expected profits. 16 managers were surveyed and the contracts for this typology were studied where initially a diagnosis of the company was made regarding the behavior in this type of contracts, deviations and those practices that have generated good results were identified, from the above a model in which for each stage of the life cycle a manager can identify and apply these good practices and thus reduce the probability of economic losses for the contractor company.
Intelligent system to detect violations in pedestrian areas committed by vehicles in the City of Cartagena de Indias
This article presents applied research which proposes an approach to a low-cost electronic system that allows the detection of violations in pedestrian areas. For this purpose, we proposed an electronic system that implements artificial intelligence algorithms and Internet of Things architectures to detect in real-time these events. The proposal focuses on experimental laboratory work through which we developed and validated a system by analyzing a real pedestrian zone scenario and invasion of the pedestrian zone. As a result of this work, we deliver a labeled dataset to the scientific community that can serve as input to new projects and the development of better offender detection algorithms
Component Analysis to Design an Integral Sustainability Model for Micro, Small and Medium-Sized Enterprises
Micro, small, and medium enterprises (MSMEs) are the engine of economic, environmental and social stability in many countries but recently MSMEs have been facing instability in their sales, production, and feature a decrease in employment that generates negative growth in the gross domestic product in emerging countries. Also, along with governmental entities, they are expected to be aware of the importance of developing sustainable models to improve production systems within the framework of sustainable development. Considering there is abundant literature on multiple sustainable models, their effective implementation in production systems is a debate topic as there is no standard guide to the processes and activities that should be followed in their adoption. The objective of this study is to design an integral sustainability model for MSMEs through the analysis of the interrelationships and dependencies of sustainability factors and a perception analysis evaluating 327 MSMEs in Colombia, using the design science research and case study as a research method. The analysis of the results has been exposed as results of a doctoral thesis which indicates that the MSMEs that were studied presented significant variations and similarities in the use of the adoption of sustainable strategies, which allowed the identification of weaknesses and strengths to focus efforts on the development of productive systems aligned with environmental sustainability
Analysis of the Influence of Green Roofs in the reduction of the stormwater runoff hydrograph of a high Andean city in Ayacucho, Peru
Use of green technologies in urban drainage systems has shown advantages with respect to traditional systems, such as a reduction in peak flows. This article compares the hydrologic response of a green roof to that of a conventional roof. The objective is to analyze the influence of green roofs in runoff reduction in urban drainage systems. Three different rain intensities, corresponding to return periods of 2, 5 and 10, were tested on a surface of 17.71 m2. Half of the cover was a green roof, and the other half was a tin roof, a conventional roofing system. In addition, slopes were adjusted to 10 %, 25 % and 20 %. Results show a reduction of up to 53 % in peak flows and a reduction of up to 68 % in outflow volumes. The lag time (time to peak discharge) increased in 10.3 minutes.
Mentoring model in LATAM for women in stem, lessons learned from design to implementation
The current demand for professionals in STEM areas, aligned with the Sustainable Development Goals, specifically gender equity, has moved higher education institutions to generate initiatives that increase the presence of women in STEM areas from their education to the workplace. Gender gaps are still present in Latin American countries, and it is more visible in STEM areas. This is why the Matilda Chair was formed in an alliance between universities, which seeks to make this situation visible but also to reduce the gap with initiatives such as Mentoring Programs. The objective is to share the case study of the design and implementation of the model as a mentoring program, from the perspective of mentors, mentees and the process itself, with a qualitative methodology, considering the lessons learned during its development. This seeks to support other institutions interested in promoting and strengthening the STEM vocations of women in all stages of their lives, mainly during their education. The findings inspire us to continue with these initiatives because of the impact on the lives of all involved, those who seek to inspire, guide and motivate, and those who seek that guidance that empowers them in their decision making and development in STEM careers.
Management of Stakeholders that Resist Realization of a Project in Cartagena- Colombia
At present, a fundamental factor for the success of the projects is the satisfaction of the needs and expectations of the interested parties, since they are the ones who provide the resources, present the needs for the realization of the projects, and accept or not the result. thereof. With the realization of these projects, the sustainability of the companies and the development of the communities are allowed. This research has the purpose of designing a good practice guide for the management of stakeholders of the improvement projects carried out by Megainversiones S.A. Its design was based on different project management standards, mainly P.M. I. (2017), and on the provenance theories, methodologies and models of Orpwood (1985) and Trentim (2015), power – influence / interest matrix of Gardner (1986), level of participation of P.M.I. (2017) and prominence exposed by Mitchell, Agle and Wood (1997), in such a way that they can successfully conclude their projects. It is an exploratory research with a mixed approach. It was carried out in 4 stages The data collection was done through the systematic review of the existing scientific literature. A survey was applied to a sample of 141 interested parties out of the 326 that make up Megainversiones S.A. simple random sampling was used. What allowed to make a diagnosis of the interested parties, with this information an action plan is proposed After identifying weaknesses and formulating improvement strategies, the good practice guide is designed, and in stage 4 the proposed guide for stakeholder management is materialized.
Investigative competencies of Industrial Engineering students. Exploratory study
This article presents the results of an exploratory study on the development of investigative skills in students of different cycles of the Industrial Engineering career. Various models of investigative competencies are presented, but the one by Veytia et al. (2019) for using competency indicators specifically with the use of technology, a factor that today cannot be ruled out. It is remarkable to identify the weaknesses that students present in the development of investigative skills. It is necessary to review and rethink the curricular proposal to ensure optimal development of these.
Implementation of a manual of policies and procedures for the administration and control of inventory through the 5s methodology in a recycling company
In this investigation, we sought to solve a problem that concerns a large part of the recycling companies in the world, which consists of the lack of procedures for the control and management of inventories this problem has caused Ecorexcicle S.A.S. an hourly overload in the export process, generating an economic loss due to the payment of overtime and a possible loss of clients due to delays in the delivery of containers. To solve this problem, it was decided to implement a procedure manual for inventory management and control through the 5s quality methodology, which, together with the integration of the components of the COSO II methodology, was optimized by 72 % the loading time of the containers and the release of 124 square meters of the main warehouse.
Characterizing the behaviour towards traditional foods of school children in Guasaganda, Cotopaxi-Ecuador
Healthy eating behaviours are of particular interest to nutrition education. In Ecuador, children in rural areas are the main concern because they carry a higher burden of malnutrition compared to urban areas. In this study, we grouped rural children according to their attitudes, social influences, and self-efficacy in terms of latent variables, using school type as a concomitant variable to predict latent class membership. The study included rural children studying in 3 different schools involving thereby a) all students from 2nd till 5th grade in a single classroom setting who are taught by only one teacher (n=12), b) students of one 3rd grade in a conventional school (n=29), c) students of two 3rd grade courses in a Millennium School (n=38). We estimate that children learning in traditional schools with less modern infrastructure (school A and B) have a high probability of having low self-efficacy to traditional foods (TFs) and are more oriented to follow parental norms when eating TFs. The low self-efficacy to TFs of these children could possibly be explained by the low quality of education received in these schools. These conclusions could be used to implement future interventions to promote the consumption of TFs and fight malnutrition among children living of Guasaganda.
Design of a Governance and Management System (SGG) for the Carrying out of Degree Projects in a University of the Colombian Caribbean
In the present degree work, the design of a SGG was carried out for the realization of degree projects (PG) in the Petrochemical Programs of the University of Cartagena. A SWOT analysis made it possible to identify the main weaknesses and threats that motivated the design of the proposed system, these being the existence of a single degree modality, low skills in students for the formulation of projects, absence of full-time teachers, content of the unsuitable subjects increase in the rate of permanence, increase in student desertion and exclusion from calls respectively. Subsequently, the design of the SGG was proposed for the efficient realization of PG, which had six elements: Governance system, indicators, templates, information system, procedure guide, and communication management. Finally, possible solutions to the deficiencies found were analyzed together with the project stakeholders and an action plan was proposed that allowed monitoring, improvement and evaluation of the indicators aligned with the strategies of the 2021-2031 research plan issued by the vice-rector's office. of investigations of the University of Cartagena.
Implementation of Lean Manufacturing to improve the performance of the dispatch process in the dispatch area of agro-export companies
In the present investigation, the main objective was to implement lean manufacturing to improve the performance of the dispatch process and as specific objectives, it was to carry out a diagnosis of the performance of the dispatch process, to elaborate a diagnosis to determine the causes that reduce the performance of the dispatch process. dispatch, implement lean manufacturing, determine the performance of the dispatch process after implementation and perform economic analysis. This research was applied with a pre-experimental design. Tools such as VSM, SMED, 5'S and synchronization with suppliers and Ishikawa and Pareto diagram were applied for the development. 1324 containers from the 2021 campaign were sampled. The implementation of SMED reduced the cycle time to 74.34 minutes, the 5'S increased compliance by 92%, VSM reduced the process to 4 stages and supplier synchronization managed to increase by 82% . Deviation in delivery time was reduced to 0.35% and on-time delivery increased to 97%. The economic analysis of the implementation is viable with an IR of 1.17.
Artificial Intelligence and Criminal Justice: A systematic review of the scientific literature
The objective of the study is to publicize the current state of the application of Artificial Intelligence in Criminal Justice in comparative law. Describe which justice actors and operators apply it, and to account for the motivation for its use in specific cases, through a systematic review of the scientific literature. For this, 66 papers obtained from the Scopus, Scielo and Dialnet databases were reviewed. Among its results it was found that the largest number of authors investigated the application of Artificial Intelligence in the Judicial System The cases in which artificial intelligence is most applied is for the prevention/prediction of crimes and judicial decision-making. It was concluded that although the risks of using artificial intelligence are unavoidable, it is also unavoidable that its use has significant benefits Therefore, it is necessary to establish control points before, during and after its implementation
Potential Solutions for Power System Impacts due to Power System Impacts due to Very Large Scale Photovoltaic
Solar Photo Voltaic System (SPVS) is rapidly growing and decreasing PV panel prices, with great technology advances in inverter and controller design. The variable power generation and its non-dispatch of PV (photovoltaic cells) affects the reliability and stability of the power system (PS), causing voltage fluctuations, violation and unbalance [1]. Its high penetration at the transmission level affects the PS frequency more than the bus voltage-caused by cloud mispass. Available flexible options need to be considered to resolve and mitigate the impacts to the PS caused by high PV penetration.
Analysis of motivation and labor performance with a gender approach: the case of a commercial company
Motivation is the impulse that moves the behavior of workers towards personal and organizational objectives, so it must be measured in terms of job performance to determine performance objectively. In this article, this phenomenon was analyzed through a gender perspective, taking as study subjects the workers of a company that sells backpacks in the city of San Pedro Sula, Honduras in the first semester of 2022, through a study with a quantitative approach, explanatory scope. and cross-sectional non-experimental design, an instrument of 25 items on a Likert scale from 1 to 5 was applied by means of an electronic survey to the total population of 30 employees, verifying by means of the results of the means comparison tests for two means with equal variances under the t-Student distribution that the influence of motivation on the perception of performance in the company is different between women and men, the latter presenting equal levels of performance with lower levels of motivation.
Designing an advanced electrodialysis water treatment system to produce drinking water
The semi-arid climate conditions in the Chanduy community, province of Santa Elena (Ecuador), coupled with a significant deficit in drinking water coverage, are leading to severe water shortages. New approaches are needed to reduce the high natural water salinity, thus increasing the overall water availability in this area. This research aims to evaluate an advanced water treatment technology named “Electrodialysis” for desalination purposes to meet the population’s basic needs and promote economic development ofn the community. Surface water and groundwater samples were collected to characterize the in-situ physicochemical parameters and major ions. The electrodialysis technology has decreased the concentration of total dissolved solids (TDS) down to the threshold values of 500-600 mg/L, recommended by the World Health Organization (WHO) for consumption purposes.. The system presented a low energy consumption (0.72 kWh/m3), resulting in a low treatment cost of USD 0.07 per m3. The optimal operational condition of the electrodialysis system was 6 V arranged in a stack of 6 cell pairs to desalinate 500 mL of synthetic water in 30 minutes. This work contributes to achieving the Sustainable Development Goals N° 6 “Clean Water and Sanitation” and N° 11 “Sustainable Cities and Communities” in semi-arid water scarity area.
Mobile robotic platform IoT-based for LP gas detection
The Internet of Things (IoT) is a revolutionary technological paradigm that has enabled communication with a large number of devices over the Internet. This article presents the design through the V-type methodology of a mobile robot that uses IoT platforms in order to navigate autonomously in indoor environments, with the possibility of detecting LP gas sources and sending the location of the leak through a GPS-sensor. The robot also includes a camera to obtain real-time video and monitor the inspection environment. The cloud platform allows the storage of data from the gas sensor and the location of the robot, as well as the transmission of commands between the server and the mobile robot through the use of a mobile application. The tests validate the functionality of the obtained mobile robotic platform.
Relationship between imports and business intelligence in the industrial sector, Chepén in 2022
The forms of commercialization of the industrial company have evolved. In such a way that they must know the best option of Supplier Countries. That is why the main objective of this research is to determine the relationship between imports and business intelligence in the company Motor Valle SAC, Chepén in the year 2022. Likewise, 02 variables were worked on (Business Intelligence and Imports), Therefore, a survey was carried out on 20 workers from the international administrative area of ​​the Motor Valle SAC company, in order to obtain information to later process and organize in the SPSS IBM version 25 program. The nature of the non-parametric connection test was Lancer. The instrument has been previously validated by experts and the reliability has been according to Cronbach's alpha of 0.899 and 0.848. The hypothesis test indicates the coincidence of 0.181 in Spearman's Rho coefficient, which indicates that it has a positive scale of means, since it is in the interval +0.11 to +0.50, It is concluded in accordance with the general objective of the study that, if there is a positive relationship between business intelligence and importation in the company Motor Valle SAC, Chepén 2022.
ADVANCED TREATMENT OF FORMATION WATERS FROM THE OIL INDUSTRY TO MITIGATE CORROSION
Corrosion in pipelines and metallic components translates into high maintenance costs in the oil industry, reaching a loss of USD 7,000 million annually. One of the leading causes of corrosion occurs due to the contact of formation water with potentially aggressive physicochemical characteristics (high concentrations of salts, chlorides, calcium, and sodium) with metallic surfaces, which, when not treated, produce intragranular corrosion, exfoliation, pitting, and cracks. The latter is considered one of the most dangerous due to its occurrence in inconspicuous areas. This work aims to reduce the concentration of salts in the formation water resulting from hydrocarbon operations in the Ancon field, Santa Elena, Ecuador, by applying two advanced water treatments: electrocoagulation and reverse osmosis. The results showed that the electrocoagulation system is unsuitable for treating this formation water with high electrical conductivity (30 mS/cm) due to the low removal efficiency of approximately 1%. On the contrary, the reverse osmosis system decreased the salt concentration by 84.7% on average, with an energy consumption of 4.95 kWh/m3 and a water recovery of 18% with a single brackish water membrane. Through simulation, the reverse osmosis system was optimized to improve the system's energy efficiency to produce water free of corrosion precursors.
Design of a Controller for Voltage Regulation in a Hybrid UAV
We propose a power control system for a UAV based on a bidirectional Buck-Boost converter. The control technology proposed switching a MOSFET to regulate the current by employing an internal PI control and external control to regulate the DC bus voltage. In addition, we proposed and integrated a unidirectional Boost system to regulate the output voltage (Vo). For a non-minimum phase system, the proposed control design is a cascade system, where first controlled the inductor current and then the output voltage. This cascade configuration guarantees the correct power management for the different maneuvers by the UAV. The simulations show that it is possible to integrate a hybrid power generation system into the UAV.
An Approach to Motivate and Improve Learning in Beginning Engineering Students Beginning Engineering Students A comparative experimentation in robotic arm control using robotic arm control using Matlab and Arduino.
Abstract- This article develops the simulation of the control of a robotic arm of articulated structure with rotary movement and linear displacement as a means of learning and motivation for beginner students in engineering. For which Matlab were used, Arduino software and graphical interface of the Coppeliasim program were used. In Matlab, specifically in the Simulink environment together with the SYMSCAPE Multibuerpo Link complement, the functions of GUI developed the control of the robotic arm articulated with different values in the angles of the joints for their subsequent motion simulation, while in Arduino 1 the interface Coppeliasim was used to have the visualization of what has been done since Arduino 1 has not had the option of showing graphics, so this support program was necessary to achieve the comparison. The simulation results are presented through a comparative data table where software is evaluated to determine the benefits in the teaching learning process.
Analysis of the location criteria used for an optimal location of charging stations for electric cars through ArcGIS
The location and capacity of charging stations influence the growth of the electric vehicle industry, since they offer users adequate station locations that consider the shortest distance traveled and maximum service capacity. For this reason, in this article a comparative analysis of location criteria is carried out through ArcGIS, so that, through its parameters obtained as maximum travel distance, minimum travel distance and load capacity, these data can be compared and determine what is the optimal criteria to use. Likewise, a case study is developed in a city with an area of 9.62 km to validate that the chosen criterion is the most appropriate for an optimal location of charging stations for electric vehicles. Finally, when the analysis and interpretation of the results obtained is carried out, it is determined that the maximum capacitated coverage criterion is adequate for an optimal location of charging stations since it presents a minimum travel time, waiting time and recharging time in comparison with other criteria.
Heavy metal(loid)s pollution indices and strategies for contaminants mitigation in crops near La Independencia community in Ponce Enriquez, southern Ecuador
Contamination by heavy metal(loid)s is one of the most evident problems in the areas of mining influence. In Ecuador, this problem has persisted for several years in artisanal and small-scale mining (ASM) districts such as Ponce Enriquez. To evaluate the contamination and propose contaminant mitigation strategies, this study was developed located in the orchards of the Association of mineral collectors 'Unión y Progreso' close to the La Independencia community. For this purpose, water, soil, and plant samples from the crop area and its surroundings were analyzed. The heavy metal(loid) contamination indices calculated were the metal index (IM) for water, pollution load index (ICC) and ecological risk (RI) with soil data, and bioaccumulation index (IBC) in vegetables. The results showed that the irrigation water was not contaminated, being identified as very pure according to the IM in 100% of the samples. In the soil, it was determined that the highest contaminant load of As, Cr, Cu, Ni, Pb, and Zn was in the extreme northeast of the study area. In addition, according to the ICC, light contamination was indicated in 50% of the samples and moderate contamination in the rest. The RI values ​​varied in a range from moderate to very high, with As and Cd being the elements with the greatest contribution to the degree of soil contamination. According to the IBC, the sample of chives and turnips were identified as Cd accumulators, with values ​​of 1.02 and 1.53 respectively. With these results, it was determined that the soil presented the greatest problem for the contamination of the area and even for food safety. From this, strategies for the mitigation of contaminants were proposed that included the application of alternative methods such as hydroponics for the cultivation of vegetables, and methods for soil remediation were recommended. This information could serve as an input in the management and reduction of pollution, as well as in the protection of the health of the inhabitants.
Comparison of PO methods for MPPT in a real system with a synchronous buck converter
En este trabajo se presentan diferentes algoritmos de seguimiento del punto de máxima potencia (maximum power point tracking, MPPT), todos basados ​​en el método de Perturbar y Observar (PO) e implementados en un sistema solar fotovoltaico (solar photo-voltaic, SPV) real. Dado que estos algoritmos son modificaciones del algoritmo clásico, los tipos de sensores, el tiempo de convergencia y el punto de máxima potencia calculada pueden cambiar sustancialmente, dependiendo en gran medida de las condiciones ambientales. Para facilitar el cambio de algoritmos y la recogida de datos, los algoritmos MPPT presentados se implementaron y probaron utilizando un ESP32 controlando el ciclo de trabajo de un circuito convertidor DC-DC Reductor síncrono.
Instability in suspensions oscillating along narrow channels
The addition of solid particles to a fluid can change significantly the way it flows. This is important in several practical situations like landslides produced by heavy rain, waste treatment and blood flow. In some cases, the presence of solid particles has been shown to accelerate mixing in viscous flows through small channels. In this work, we show that oscillatory flow induces an instability characterized by particle motion transverse to the main flow, which could help improve mixing. We perform experiments with non-Brownian spherical particles (diameter 40 µm) suspended in a viscous fluid subject to square-wave oscillations inside a channel of rectangular cross-section (gap 1 mm, width 10 mm). Using fluorescence we visualize and track the particles in a plane across the gap and along the length. After a number of oscillations, we observe small but significant displacements of the particles across the gap. These displacement have oscillatory and long-term drift components, both spatially periodic along the flow direction. The latter may account for the transverse deformation of a high particle volume fraction region present in the center of the channel. Finally, we define and characterize an onset time for this instability as a function of the oscillation amplitude and the volume fraction.
Financial Management and its Relationship with Sales Management in the Mypes Barranca, Huaura and Huaral - Peru.
Abstract: The objective of this research was to analyze the relationship between financial management and sales management in micro and small enterprises (MSEs) in the provinces of Barranca, Huaura and Huaral in Peru. To achieve this objective, a literature review was conducted on financial management and sales management in MSEs, and a field study was carried out using a survey of 425 owners of MSEs in the aforementioned provinces, which were in business in the year 2022. The results of the research indicate that there is a significant relationship between financial management and sales management in the Mypes, which were found in the ordinal logistic regression test the D of sommers is equal to 0,26 this indicates that there is a positive moderate relationship between financial management and sales management, then the companies have good financial management and tend to have better sales management, and vice versa. In addition, it was found that most of the surveyed MSEs do not have good financial management and this is related to problems in sales management, concluding, according to [5][6][16], that MSEs should improve their financial management and sales management to increase the profitability and sustainability of their businesses. It is also suggested that local authorities provide technical and financial assistance to MSMEs to improve their business management.
Management skills and their relationship with the competitive advantage of the Mypes Barranca, Huaura and Huaral - Peru.
The objective of this research was to analyze the relationship between the managerial skills of MSME managers and the competitive advantage of the companies. The study sample is composed of companies located in the provinces of Barranca, Huaura and Huaral in Peru. A quantitative approach was used by applying surveys to the managers of the selected companies. The results indicate that managerial skills are significantly related to competitive advantage, both in the customer/market dimension and in the economic-financial dimension. The results indicate that managerial skills maintain a certain relationship with competitive advantage, considering that there was a correlation of 0.59 between the variables with Spearman's Rho coefficient. In addition, it was found with the longitudinal logistic regression that at least one predictor variable has a significant effect with the response variable, confirmed by [1][10][11][15], for the reliability Alpha of 0.83 in managerial skills with nonparametric distribution and competitive advantage of 0.71. The findings indicate that, if creative ideas are applied, it is possible to solve complex situations that always exist in the Mypes with a certainty of 52.39, also, with listening it is possible to improve dialogue and communication.
Comparison Between the Branch and Bound and Evolutionary Algorithms to Solve the Classic Vehicle Routing Problem Known as VRP
The routing model solution is an algorithmic challenge that seeks to optimize delivery routes to minimize the associated costs. Linear programming is a classical method proposed to find the minimum cost routes. Alternatively, heuristic and metaheuristic methodologies have been proposed to solve the routing problem. The objective of this work is to compare both the average time to find a solution and the average total distance traveled obtained by using an evolutionary genetic algorithm and a linear programming model. Five route configurations with ten, twenty, thirty, forty and fifty customers or nodes to visit were studied. Results pointed out that as the number of customers to visit is duplicated from ten to twenty, the average time to find the best solution is approximately ten times bigger when using a linear programming model. Moreover, when the number of customers doubles from twenty to forty, the average time to find the solution arises something about sixty-eight times the previous time. Conversely, the evolutionary genetic algorithm showed that the average time response to find a solution decreased significantly as the number of customers included in the model increased. Regarding the total distance traveled on the route, the linear programming model found a solution 96.26% lower than that found with the evolutionary method for a route with ten customers to visit, and 48.48% lower on a route with 50 clients. Recommendations based on results indicate that is convenient to find a solution through the linear programming model when fifty or less clients are included in the model. On the contrary, for more than fifty clients, it is more convenient to solve the vehicle routing problem by means of evolutionary genetic algorithms that needs significantly less time to find a problem solution and they also find solutions closer and closer than those found by the linear programming model as the numbers of customers increases.
Evaluation of the Effects of using Central Pattern Generators to Synchronize the Undulating Motion of a Bio-Inspired Robotic Fin Testbed
Unmanned Underwater Vehicles (UUVs) with bio-inspired fin propulsion systems have captivated the interest of many researchers in recent years, particularly because such systems provide higher dexterity and energy efficiency, and less environment perturbation when compared to conventional propeller-based propulsion. Bio-inspired propulsion UUVs designs are typically based on large chains of articulated actuators, which must be properly synchronized to achieve the desired UUV gait motion. To achieve this task, a control strategy based on artificial Central Pattern Generators (CPGs) is commonly used. CPGs provide a highly stable, smooth, synchronized controlled transition of a large number of individually driven actuators, but solving the dynamic equations of the CPG model results in an increase in the computing requirements of the UUV microcontroller, which may limit its implementation on UUVs with a high number of actuators and microcontroller with limited computing power. Thus, the purpose of this work is to evaluate the feasibility and limitations of implementing a CPG-based locomotion control strategy on an Arduino® Mega microcontroller to drive a 16-actuator articulated testbed of an undulating robotic fin, as well as the dynamic effects of the CPG control strategy. The results demonstrate that a CPG can be implemented on the Arduino® Mega platform by optimizing the structure of the CPG equations while still maintaining the favorable qualities of CPG-based control when compared to a direct undulating wave-based control approach.
Human resources and their relationship with innovation in the Mype of Barranca, Huaura and Huaral – Peru.
This research established the relationship between human resources and innovation, focusing on three dimensions of human resources: planning, integration and development, and two dimensions of innovation: talent and digital technology for Mype entrepreneurs from Huaura, Huaral and ravine. A quantitative approach was used through the administration of surveys to a sample of 425 Mype companies. The results indicate that planning and development of human resources are significantly related to innovation, while integration is not. In addition, it was found that both talent and digital technology have a positive and significant relationship with innovation. The study was based on the field work carried out and the findings have implications for the management of human resources and innovation in companies confirmed by high reliability values with the Cronbach Alpha method of 69.6% for human resources, such as This is confirmed by [1] Spearman's correlation of 0.426 and 0.455 in the correlation when doing multiple regression, which indicates moderate correlation, suggest that attention should be paid to the planning and development of human resources and the adoption of digital technologies to promote innovation in organizations
Management skills and their relationship with the sales environment of the Mype Barranca, Huaura and Huaral - Perù.
The present research had the objective of analyzing the relationship between the managerial skills of the leaders of the Mypes and the sales environment of the companies, focusing on the dimensions of customer service, relationship building and market. The sample n=425 where p-value ≤ 0.01 determined non-normality Cronbach's Alpha is 0.753 and Spearman's Rho is 0.259 for managerial skills. Kendal's Thau test 0.25 explains moderate correlation in the Ordinal Logistic Correlation. Stochastic simulation with 14,000 tests indicates the 95% interval is between 4.10 and 4.29 confirming that they indicate that managerial skills are significantly related to the sales domain, both in the customer service dimension and in the relationship building dimension. In addition, dialogue and expression was found to be the most influential dimension of managerial skills in the sales domain. [9] [10] also suggest that the development of managerial skills, especially in dialogue and expression, can be an effective strategy to improve the sales environment of companies, contributing to their growth and sustainability.
Educación de calidad en Colombia: Del ODS 4 rezagado a la Agenda 2030 incluyente
Colombia ranks sixth among 24 countries in the Latin America and Caribbean region in the implementation of the 2030 Agenda. Despite its preferential position in the region, Colombia has not met any of the seventeen SDGs. In this context of Sustainable Development, emphasis is placed on SDG 4 on Quality Education, from which the research question is formulated: What is the level of achievement of SDG 4 in Colombia with respect to the countries of Latin America and the Caribbean? To answer this question, the design of this research was guided by the positivist position and was implemented through the non-experimental method of causal case study. It is evident that between the SDG Index 2019 and 2021, Colombia has maintained a moderate level of progress at a rate above 50% of the expected trend in SDG 4, but below the necessary trajectory for the achievement of SDG 4 in 2030. Therefore, Colombia has a critical lag in SDG 4, with a medium risk of not achieving this SDG by 2030.
Artificial intelligence tutoring versus tutoring with experts in learning the preclinical and clinical areas of medicine
The objective of this study was to compare the effectiveness of working with tutorials using Artificial Intelligence versus tutoring with an expert in the subject of Pharmacology in preclinical and clinical areas in a sample of 100 sixth and tenth semester university students. Having a period of 6 weeks of monitoring with the types of tutoring in two groups distributed randomly. A baseline was generated that allowed a subsequent analysis of having intervened with the two types of tutoring mentioned above. The hypothesis was verified, since the group that worked with AI surpassed the results of the multi-test exam at the end of the intervention time. Therefore, the conclusions can contribute to the design of medical study plans at the University level, considering AI a tool that allows the improvement of Teaching-Learning processes. It should be taken into account that the two groups received classes with experts in the same way, and that this study was based on the modification only in the extra-class tutoring process of the Pharmacology subject. In addition, the topics and subtopics evaluated are the same ones that were worked on in said tutorial spaces. Keywords—Artificial Intelligence, Tutor expert, Tutoring, Medical Education, Effectiveness.
Medical Supply Management in Ecuador during COVID-19: A novel approach from Twitter
Historically, the management of medical supplies in Ecuador has represented an obstacle in the timely treatment of diseases due to the insufficiency of these [1]–[4]. This situation worsened in early 2020 due to the coronavirus pandemic. Consequently, people chose to use social networks, such as Twitter, to obtain medicines and medical equipment. For this reason, the present study aims to evaluate the management of medical supplies in Ecuador by citizens, through the social network Twitter using text mining techniques applied to big data, to determine their degree of effectiveness during the pandemic. of the Covid-19 from March 2020 to March 2021. To achieve this, interviews were conducted with doctors to find out the most demanded supplies. From this, web scraping was applied on Twitter to extract publications on the management of inputs. Subsequently, text mining techniques were applied to identify emotions, classify needs and validate the information. Finally, effectiveness indicators were established. The results revealed that March and July 2020 and January 2021 were critical times, especially in provinces such as Guayas, Azuay, Imbabura and Santa Elena being consistent with the information reported by the Emergency Operations Committee (COE) of Ecuador. It is concluded that this study provides information of interest for the formulation of public policies related to the supply of inputs and medical care.
Biomechanical model analysis guide with open source software for educational purposes
In Central America the implementation of biomechanical model analysis is well known to be a brand-new branch of science. The whole region has been working these studies from a qualitative point of view, which in most of the pathological cases is enough to diagnose or treat a patient. With the advances of computer vision, open code software, and interest in the biomechanical studies, by use of the package OpenCap and OpenSim, the quantitative analytics of biomechanical movements where successfully withdrawn. The combination of both software and their respective information outputs could allow theoretically a therapist to analyze deeply a pathology looking for differences in the movement ranges of any limb as OpenCap is capable of detecting. The objective of this research is to create a laboratory guide for the Biomechanics course of the Universidad Tecnologica Centroamericana UNITEC for the biomedical engineering degree. This software proved to be a versatile tool with a friendly interface for new users, especially students. Working along with OpenSim a complete biomechanical analysis of a specific patient can be generated. This analysis can help in several areas, for example, prothesis design and adaptation.
Development and Implementation of a Wireless Telemetry System for a Mechanical Rover Prototype
This paper outlines the design, development, testing, and deployment of a telemetry system aboard Vaughn College’s Human Exploration Rover Challenge (HERC) rover to collect information on the environment, rover, and drivers’ status. Developing this telemetry system allows the team to acquire data from a unique rover design and analyze it, simulating what a real space mission would be like. Based on the competition and design requirements, this system comprises a temperature and humidity sensor, an OV2640 camera, a Long Range (LoRa) module for communication, a Global Positioning System (GPS) sensor, and an ESP32 microcontroller. The system’s transmitter acquires all the desired data, while the receiver displays the information on the Arduino Internet of Things (IoT) cloud for analysis.
Greenhouse gas emissions from domestic electricity consumption and comparison with an alternative solar electricity generation
The use of conventional energy sources represents a problem due to its high GHG emission, therefore the implementation of renewable energy resources manifests a solution to this problem. The course work was developed in the city of Arequipa taking into account the conditions present in the city, with the main objective of determining the kg of CO2 eq that were not emitted through the use of photovoltaic panels. For this, the sampling of twenty-two students from the San Pablo Catholic University was carried out, in this way the electrical consumption of each one was obtained, later the energy produced by each source presented in the Peruvian electrical matrix was calculated, which allowed determining the emissions of GHG for each source working them in kg of CO2 eq. Following this, the electrical production of the photovoltaic panel was evaluated, making use of the NASA POWER online program and the equations proposed in the article. Finally, it was obtained as a result that the implementation of photovoltaic panels managed to satisfy the electrical consumption in its entirety for seven students, while for the other fifteen it was possible to partially satisfy their consumption. Likewise, a significant reduction in GHG emissions was evidenced, going from 287.17 kg of CO2 eq to 119.74 kg of CO2 eq, which represented a reduction of 39.77%.
Statistical analysis of the process architecture through a computational tool
The objective of the work is to evaluate the architecture of the judicial services management process of the Judicial Branch of Colombia through the analysis of factors that are considered critical for its performance. For the construction of the instrument, critical factors such as the organizational scheme, processes and procedures, information systems, adaptability, effectiveness and efficiency were identified, which were validated by experts and their reliability determined by using Cronbach's alpha coefficient. The statistical analysis was carried out through a computational tool that allowed the Principal Component Analysis to be applied to reduce the dimensions and to be able to obtain the factors that facilitated the analysis of the information. From the statistical analysis of critical factors, the positive correlations that exist between them were evidenced, which allows establishing a set of conditions to evaluate the architecture of the process. Based on the results, it is concluded that through the use of a computational tool, it is possible to carry out the analysis of factors considered critical for the improvement of the process.
Transitioning an offline distillation column to a WebLab: defining safe operational conditions and remote experiments
WebLab, Lab-on-Web, or e-science means access to real labs and devices through the Internet. The goal is to enable interactivity with devices, control and monitoring, and cooperative work. Therefore, this work aims to present the DistLab, a distillation column that was adapted for batch operation remotely, attending the demands of Education 4.0. A distillation column is used to separate components from a liquid mixture by volatility difference and it is applied to many industrial processes. Thus, the engineering courses, will have a product at the service of the academic community that will allow remote access to the distillation experiments. In the present study, four experiments were performed in order to stablish operational parameters for safe remote operation, which soon will integrate to the WebLab platform in which the project is integrated
Reutilización de residuos de demolición y desarrollo sostenible
Sobre la base del desarrollo sostenible y la economía circular en este trabajo se pensó en el empleo de los grandes volúmenes de residuos de demolición para ser utilizados como relleno de reactores continuos para tratamiento de agua. Se procesó y caracterizó el material de demolición. Se empleó para resultados preliminares en ensayos en reactores discontinuos para remoción de Cu2+, Ni2+ y Zn2+ en forma individual o presentes en forma simultánea. Se realizaron ensayos en reactores continuos de lecho fijo y por último el material saturado se utilizó como reemplazo de áridos en morteros de cemento. Se concluye que este tipo de material podría ser utilizado en la remoción de metales como paso previo a la incorporación en una nueva construcción a base de cemento, constituyendo una acción de economía circular.
Evaluation of the Efficiency of an Electrocoagulation Cell for the Treatment of Wastewater coming from the Textile Industry.
The efficiency of an electrocoagulation cell was evaluated by obtaining the optimum operating parameters for the contaminant removal from wastewater coming from the textile industry. A batch-type electrochemical cell was designed with aluminum electrodes and a parallel monopolar configuration type. The Response Surface Methodology with a Rotable Composite Central Design was used to evaluate the treatment time, chloride concentration and voltage for the turbidity and color removal, chemical oxygen demand (COD) and total suspended solids (TSS). The results showed that, during an operation time of 16.5 minutes, with a sodium chloride (NaCl) concentration of 29.8 g/L and applying a voltage of 18 V, it is possible to reduce 96% turbidity, 99% color intensity, 97% COD and 96% TSS. In addition, after the electrocoagulation treatment, an energy consumption and a specific energy consumption required for the treatment of a 3 L wastewater sample was 0.02 kW/h and 6.6 kW/h/m3 , respectively and an efficiency of the aluminum anode with values between 91% and 93%.
Snake-Search Bot: Design of Autonomous Search Robot for SAR Aid Process of Earthquake Victims
Abstract— This paper displays the description, design, and features of the Snake-Search Bot. A search robot is a robotic device used to locate people in danger or distress after a natural disaster —in this case an earthquake has occurred. This is an autonomous, low-cost, snake-like robot intended to go into the debris caused by earthquakes to identify human bodies trapped beneath, gather the data, and send the signals to a rescue team. This robot will use sensors for human life identification it will then send alerts to the software for the rescue team to get updates on what is happening between the debris. The robot will also project a mapping system (SLAM) to facilitate the rescue process. This project is targeted at Latin American countries, especially those most prone to earthquakes such as Mexico, Guatemala, Chile, and Peru. The robot was programmed with python on a Raspberry Pi and includes the following cameras and sensors: a thermal camera, night vision camera, TF Luna LiDAR, an inertial sensor, encoder motors, seed MRH60, microphone, and speaker.
A video game to travel inside the rocks of a basin. Virtual reality is coming to the classroom
The use of an Immersive Virtual Reality glasses and joysticks in the classroom seems unthinkable, however, we designed a classroom work with these elements for Petroleum Engineering and Geodesy-Geophysics Engineering, courses. Rv software allows the student to become familiar with different models of reservoirs, whether they are hydro, geothermal, oil, etc. making dives and visualizations inside reservoirs using Rv glasses and two joysticks as navigation tools. This classroom work was designed to reinforce the conceptual and attitudinal contents of the Reservoirs theme where the application is used in the approach and deepening of the fluid media. Students explore the environment using these tools, sectioning sedimentary strata, measuring thickness, indicating physical attributions of permeability, porosity, density, susceptibility of certain rock formations, etc. based on the guidelines proposed by the teacher in the Guidance Guide. The teacher observes the dives through a Tablet and guides the student through the different stages of navigation. Once the topic has been studied in depth, students are able to compare the results obtained by various groups of students who have analyzed different aspects of the reservoir, collectively draw up a report that relates the guidelines to the information and present graphs and tables with data on the physical magnitudes observed. Student reports are evaluated through rubrics. The software design was fully developed at FIUBA and the elements were acquired thanks to a Research and Development project (PIDAE).
Solving Ordinary Differential Equations by means of an Artificial Neural Network
This article describes a method for the numerical solution of ordinary differential equations using an artificial neural network. Unlike other reported methods, the loss function is constructed from the same formalization of the differential equation and is done using Pytorch's computational resources for automatic differentiation. The proposed method is applied to the solution of four types of differential equations and the results obtained are shown. The design of the resulting neural network was aimed at its subsequent implementation in reconfigurable logic.
Improving Speech Classification Accuracy: A Support Vector Machine Approach
Digital hearing aids improve hearing by reducing background noise and significantly improve sound qualities. However, digital hearing aids do not produce significant improvements for the hearing impaired, when the challenge for some hearing-impaired persons, is recognizing high frequency sounds, such as consonants. Digital hearing aids (DHAs) use parametric phoneme classifiers, such as Hidden Markov Model (HMM). These classifiers produce at best 80% phoneme classification accuracy. The main research question therefore was: - Could the digital hearing aid’s phoneme classification accuracy improve, if a non-statistical/non-parametric phoneme classification algorithm was developed and used in the processor of the digital hearing aid? In this study, speech was classified using linear Support Vector Machine (SVM), a non-parametric classifier, to identify vowels differently from consonants. SVM was chosen, as literature indicate that SVM non-parametric classifier was likely to return the highest classification accuracy among all classifier algorithms. The SVM classifier was built in MATLAB by parsing the phonemes from Texas Instrument and Massachusetts Institute of Technology (TIMIT) training speech files, and generating the corresponding Mel Frequency Cepstrum Coefficients (MFCC) for each phoneme. The built SVM Classifier was tested, using files from the TIMIT speech test database. Results showed that the built SVM classifier produced phoneme classification accuracy ranging from 74% to 92.7%. These results indicate that the built SVM can be used to classify phonemes with, accuracy that is equal to or better that the existing statistical/parametric phoneme classifiers.
El trabajo del futuro y el futuro de la certificación de oficios en la Red CARICET de la Universidad Tecnológica Nacional
La irrupción de la tecnología y por ende los consecuentes cambios tecnológicos que se han suscitado en las últimas décadas, motivaron la reestructuración de los modos de relaciones en todos los sentidos con una nueva revolución industrial en un mundo en transformación. El trabajo aborda la temática del futuro del trabajo y el futuro de la certificación de oficios en el marco de una investigación que analiza el caso de la Red CARICET, cuyas siglas significan “Comité Asesor de Representantes Interregionales de Certificación de Especialidades Técnicas” del Programa de certificación de especialidades técnicas (oficios) de la Universidad Tecnológica Nacional (UTN) en el período 2009-2019 dentro el sector industrial argentino, en el marco de una articulación multisectorial. Se citan diferentes autores que permiten poner luz sobre el futuro del trabajo en sus diferentes aristas y nos permiten analizar el dispositivo mencionado junto a sus protagonistas, los actores sociales de dicho programa, en cada una de las Facultades Regionales de la UTN. En ese sentido, se pretende determinar la forma en que el diálogo social de actores multisectoriales (los trabajadores, la Universidad, las empresas, el Estado) logran articular y afrontar los cambios tecnológicos del trabajo del futuro que pueden impactar en el sistema de certificación de especialidades técnicas vigente, donde cada Facultad Regional de la Red se encuentre, logre satisfacer las necesidades territoriales e individuales de los diferentes actores destacando a los trabajadores y sus saberes productivos sin los cuales no tendría existencia dicho dispositivo
Vegetable oil contaminated area: site-specific bioremediation treatments
The environment is negatively impacted by occasional discharges from industrial activity. When these events contain insoluble compounds such as fats and oils, they are high impact pollutants. This work focuses on an environmental problem in the industrial area of Buenos Aires, Argentina, where a lagoon was contaminated by vegetable oil residues. The aim of this work is to study bioremediation strategies in order to propose solutions for the remediation of the lagoon. For this way, autochthonous vegetable oil degrading bacteria were isolated from Lagoon 3, and the conditions to produce bacterial biomass were evaluated. Then, through microcosms systems using contaminated coastal soil, different site-specific treatments were tested: a control as natural attenuation a bioaugmentation treatment with autochthonous vegetable oil degrading bacteria two biostimulation treatments with nitrogen and phosphorus, and with depleted mushroom compost waste. Although both bioaugmentation and biostimulation showed promising results, biostimulation with N, P was the most effective for site-specific biorremedmediation of Lagoon 3, achieving 67 % of oil vegetable reduction at 60 days.
Transversal support system: Internships/Scholarships at the Faculty of Engineering of the UNRC.
The scholarship system of the Instituto de Protecciones de Sistemas Eléctricos de Potencia (IPSEP) has more than 20 years of history, but rarely thought about the impact that these generate in the training of students. In this work, an analysis of the multiple teachings and competences that allow to acquire the scholarships in this particular institute is carried out, and allows to think about the scholarship system as a transversal accompaniment of the students. In this way, to revalue and highlight the importance they have had (for more than 20 years) and still have in the training of future engineers, offering an opportunity to acquire those skills that are more difficult to incorporate with the activity within the curriculum and the classroom environment. Competencies such as performing effectively in work teams in a professional environment, is something that is developed in the institution since the first year of university. Since, from that moment on, students can be part of the team.
GIS Application with 2D program for new faut modelling for tsunamis risk prevention at SE Malvinas Islands
This paper presents applications of Geoengineering tools such as a Geographic Information System (GIS) and a 2D mathematical modeling program on the Malvinas plateau and the North Scotia ridge. Due to the important tectonic activity at the edges of the Scotia, South American and Sandwich plates with the possibility of producing important variations in sea height or tsunamis, it is very important to characterize the crust in the area for the prevention of economic losses in port areas. In this work, freely accessible geological, geophysical, gravimetric and ocean depth data and a compilation of sedimentary thicknesses from the Institute of Applied Geodesy and Geophysics of the Faculty of Engineering of the University of Buenos Aires were used. From the application of the GIS it was possible to map the areas at risk and calculate the distances between the points of possible ruptures of the crust and the urban centers such as Puerto Argentino or the nearby Antarctic Bases of the region. On the other hand, the application allows to highlight areas of cortical weakness by applying geospatial filters in the frequency domain on gravimetric data and thus expand the areas of prevention. The 2D gravity modeling allowed to locate new zones of weakness, showing their extension and depth in a profile that crosses the North Scotia Ridge. Keywords - GIS, 2D modeling, earthquakes, faults.
Software Development Teams: Factors Influencing their Productivity
– Software development productivity has been widely studied in academia from different perspectives, including its meaning, measurement, dimensions, and how to improve it, at an individual, team, and organizational level. In the last decade, several factors have emerged that influence the way of working and thus, the productivity of agile development teams. These factors could be related to interactive, collaborative, and simplified work environments, among others. A better understanding of such factors and how they affect productivity could help organizations to determine how to deal with them when implementing agile practices and where to focus management efforts to have better results and deliver value faster. However, an insufficient empirical basis on this topic was found. This work shows an analysis of the state of the art regarding the factors that influence these teams, studying their impact on productivity, all this through a systematic literature review process. After analyzing results, it can be concluded that the factors that most affect team productivity are those related to the interaction between members, especially communication and distance, as well as the way in which they are organized. Those aspects related to the individual characteristics and soft skills are influential factors over the team performance. It is important to point out that even though the studies mention factors that affect productivity in different ways, they do not propose strategies for adapting agile practices, and only a couple of them propose practices that have a positive impact.
Redesign of a polystyrene packaging process for a distribution center: Case study of the productive logistics sector in Cartagena de Indias, Colombia
The present study aims to improve the efficiency of polystyrene packaging processes through the implementation of a new design ofthe packaging machine for a distribution center in the manufacturing sector of the city of Cartagena. Initially, a diagnosis of the current situation ofthe polystyrene packaging process was made, in order to determine what are the reasons or causes that affect the storage process, since thedemand required by customers is currently not met. Secondly, an analysis is proposed using different work methodologies such as staticanalysis, the Ishikawa method, Value Stream Mapping and the financial one to determine the causes of the problem and the feasibility of theproject. In order to provide a solution to the problems identified in this research case, the implementation of one of the 3 alternatives exposed asa result of the investigation is proposed, taking as a reference the delay time in operations, times of use, necks of bottle, equipment capacitiesand the costs associated with non-compliance.
Characterization of the swelling kinetics of hydrogel beads in glycerin solutions.
The growth kinetics of polyacrylamide hydrogel beads in different aqueous glycerin solutions and its dependence on the concentration of glycerin in solution was studied. The influence of the confinement imposed by an (adjustable) wall allowing the hydrogel to grow freely only up to fixed openings of 5 and 10 mm was also analyzed. The equilibrium sizes of the hydrogels do not depend on the glycerin concentration, except above 50% (w/w) but they do change with the imposed confinement, obtaining smaller values. On the other hand, the growth kinetics is slower with increasing glycerin concentration. This growth kinetics is accurately described, at initial and intermediate times, by an empirical power law widely used in the literature. In free growth experiments, the curves collapse into universal kinetics when time is rescaled using the viscosity of the solution. This suggests that the growth kinetics under these conditions is only limited by viscous transport. Whereas, when there is imposed confinement, this also influences the kinetics and no universal curve for growth kinetics is obtained.
The use of electrical resistivity measurement to estimate compressive strength in precast concrete processes
In a precast concrete process, it is common to verify that the precast element has the necessary strength, for prestress release or demoulding, by testing concrete cylinders cured at equivalent conditions. This technique requires a considerable number of work hours, what makes the process inefficient. Considering that concrete electrical conductivity measurements can be used to estimate the pore structure of concrete, this study proposes the use of this technique to estimate concrete compressive strength, analysing its application with variable temperature. The use of non-destructive testing methods, as a suitable substitute of traditional techniques, considerably simplifies and modernizes the industrial process. This paper presents preliminary tests aimed at obtaining correlation graphs between concrete compressive strength and electrical conductivity, considering factory conditions. The correlation is good, but it is important to use correction factors to consider the shape and size of the element and the temperature of measurement. Moreover, the percolation condition of water must be high enough to obtain comparable results.
Precipit.Ar: IDR Curves for Argentina using rainfall rate estimates from TRMM and GPM Missions
One of the issues that hydraulic engineers in Argentina face when carrying out projects is the unavailability of IDF Curves or pluviographic records necessary for their development. These curves provide average precipitation rates, based on the duration of the event and the defined return period. This study, resulting from research conducted in the Hydraulic Department of the FIUBA, consisted of obtaining IDF Curves based on remote precipitation estimates from the TRMM and GPM satellite missions promoted by NASA, JAXA, and other space agencies. The resulting product, named Precipit.Ar, consists of a set of spatially distributed IDF Curves covering a large part of the Argentinean territory, limited to the parallel 50S coinciding with the spatial coverage limit of the TRMM mission. This product allows for quickly accessing estimated IDF Curves based on geographical coordinates, duration, and recurrence. With this information as a basis, the obtained data was processed, producing a temporal series of representative average precipitation intensity estimates. Then, a sample of maximum events for different durations was selected, and a probability distribution function was fitted to construct IDF Curves.
Deep learning as an educational goal in Industrial Chemistry
The methodology used in Industrial Chemistry subject of the 4th year Industrial Engineering based on active teaching methods, personalized follow-up, own elaboration of cases linked to the surrounding reality, use of resources and varied activities to cover different doors of knowledge and application metacognition thought routines, allowed to achieve highly satisfactory results for both teachers and students. The authentic evaluation strategies are oriented to reinforce the understanding of the current challenges of Engineering, trying to awaken a personal intrinsic motivation as a source of satisfaction of the achievements and real usefulness of learning for professional practice, all these distinctive notes of deep learning.
Computational Modelling of Accident Conditions in Nuclear Reactors with System Codes and 3D Components Using TRACE5
Computational mechanics is a discipline of high relevance in the nuclear power plants accident assessments. System codes are the most used tools in it, because they can be used to simulate the whole plant and calculate long transients. This is possible because they use zero/one dimensional (0/1-D) component models that permit a reduction in computational costs with adequate macroscopic results. Nonetheless, new reactor designs and the need of reducing uncertainties require a higher detail level. Because of this, some system codes now include tridimensional (3D) components to enhance the geometric nodalization of the nuclear reactor. This is the case of TRACE5 (TRACE/RELAP Advanced Computational Engine), which includes tridimensional components representing a reactor pressure vessel. During the last years, scientists and engineers that work with system codes have performed many tests to validate these components using experimental facilities. This work is a detailed study of the TRACE5 system code, which also includes a sensitivity analysis, in the ROCOM experimental facility. This installation was developed for the analysis of inherent 3D phenomena within a nuclear reactor. On this work the mixture of water flows of different temperatures is studied, and the sensibility of the results respect to the nodalization and the numerical schemes is analysed. The results show good agreement with the experimental values and can be used to define modelling good practices.
Evaluation of academic performance with project-based learning in times of pandemic and post pandemic.
During the pandemic period and the forced implementation of online education, there arose an imminent need to renew teaching practices. Virtuality challenged the methodologies used and the learning evaluation systems, since it was not enough to simply transfer the face-to-face class to a synchronous remote system. Aware of this limitation, a proposal for renewal emerged in Mathematics courses for the Engineering career, focused on active and student-centered learning. For the purpose of analysis, we have collected data from 2020 to date considering different groups of students who have taken the Integral Calculus course. The results show that as the years go by, student burnout has increased due to maintaining online classes with negative effects on the learning process. However, the learning methodologies are widely valued for providing skills despite the negative aspects of virtuality.
Improving predictive modeling of polymeric materials using a hybrid approach of machine learning and expert intervention
This work describes a hybrid methodology that combines machine learning and the intervention of experts to improve the predictive modeling of properties of high interest of polymeric materials. Although these materials have many advantages, developing a new material with specific properties from a new molecular structure is very challenging and time-consuming and expensive. The demand for materials with very specific properties continues to grow, so machine learning techniques have been applied to predict these properties. The hybrid methodology was developed in an evolutionary way from an expert intervention at the end of the machine learning process, to a more decisive intervention throughout the cycle. This allows obtaining more robust and reliable models for the design of new materials, which can help designers obtain property profiles for prototypes prior to the synthesis stage, saving time and resources.
Shear strengthening of concrete beams: Feasibility of using steel fiber reinforced concrete (SFRC) jacketing
A large part of civil works that are carried out involves the repair and/or reinforcement of existing reinforced concrete structures. This work focuses on reinforcing the load-carrying capacity in shear of existing reinforced concrete beams, for which there currently exist various reinforcement technologies. The applicability of a particular type of reinforcement depends, among other factors, on the physical conditions and mechanical properties of the original element, physical space limitations, available technology at the construction site, and costs. Among the new advances in reinforcement methodologies is the use of steel fiber-reinforced concrete (SFRC) for jacketing or thickening, a material that due to its mechanical properties, durability and constructability is suitable for its use in shear reinforcement. However, its use is not widespread and information regarding its behavior as a reinforcement methodology is scarce. This work compares different shear reinforcement methodologies, in order to evaluate the suitability of SFRC as an alternative to existing methodologies and to identify the aspects in which it is necessary to deepen knowledge in order to ensure its applicability.
Promoting bioconstruction as an efficient and sustainable alternative
This work aims to show bioconstruction with different constructive alternatives. It is done by going through various cases, in which several of the members of this work participated. They show different construction techniques such as: adobe, quincha, pallets with bottles, direct modeling and superadobe. In addition, it seeks to disseminate it, since it is an alternative for the reduction of greenhouse gases, among other things because the materials do not travel or have a minimum of transport since they are mostly local and the energy to obtain them is lower. than in traditional construction. The use of natural or recycled materials, in addition to being able to be reused, provide a habitat with thermal comfort, reducing energy costs for heating and cooling. In conclusion, we can say that these types of constructions can be carried out in different regions, using their native and nearby natural resources, they can also be applied to different social classes, for self-construction and different applications of use.
Soft skills development in bioengineering students through problem-based learning: An analysis of educational impact
This study aimed to evaluate the perception and self-assessment of soft skills development among bioengineering students using problem-based learning (PBL) methodology. A survey was conducted to assess the relevance perception and self-assessment of seven soft skills with different attributes, before and after the PBL course. The study found that bioengineering students recognized the importance of developing soft skills alongside technical expertise. Communication, critical thinking and problem-solving, entrepreneurship, ethics and professional moral, leadership, continuous learning and information handling, and teamwork skills were consistently improved with the PBL course. The PBL methodology had a positive impact on the development of soft skills attributes, as students either improved or maintained their skill levels. However, significant differences were observed in five of the seven soft skills attributes. The use of technology for making presentations and the impact of understanding the external factors were the least developed attributes among students. The study suggests that PBL may not have included enough opportunities for students to develop these skills, and specific activities may need to be incorporated in the future. Overall, the results underscore the importance of integrating soft skills development into bioengineering education and training programs, as these skills are crucial for success in the field.
Analysis of the management of medical supplies in Ecuador during the Covid-19 pandemic through Twitter
Historically, the management of medical supplies in Ecuador has represented an obstacle in the timely treatment of diseases due to the insufficiency of these [1]– [4]. This situation worsened in early 2020 due to the coronavirus pandemic. Consequently, people chose to use social networks, such as Twitter, to obtain medicines and medical equipment. Therefore, the present study aims to evaluate the management of medical supplies in Ecuador by citizens, through the social network Twitter using text mining techniques applied to big data, to determine the degree of effectiveness during the pandemic of the Covid-19 from March 2020 to March 2021. To achieve this, interviews were conducted with doctors to find out the most demanded supplies. From this, web scraping was applied on Twitter to extract publications on the management of inputs. Subsequently, text-mining techniques were applied to identify emotions, classify needs and validate the information. Finally, effectiveness indicators were established. The results revealed that March and July 2020 and January 2021 were critical times, especially in provinces such as Guayas, Azuay, Imbabura, and Santa Elena being consistent with the information reported by the Emergency Operations Committee (COE) of Ecuador. It is concluded that this study provides information of interest for the formulation of public policies related to the supply of inputs and medical care.
A Study of the Relationship Between Educational Background, Psychological Factors, and Soft Skills Among Bioengineering Students
The aim of this study was to investigate the impact of educational factors on students' psychological factors, including locus of control and need for achievement, as well as their soft skills self-perception. A regression analysis was conducted for each independent variable, and the results showed that none of the tested formative factors significantly affected locus of control. However, the type of sport students practiced and their residence during university had a significant effect on their need for achievement. Additionally, certain educational factors, such as the type of school attended before college, as well as the student's residence during high school and university, and the type of sport practiced, had a significant impact on students' self-assessment of their soft skills. These findings suggest that understanding the impact of educational factors on students' need for achievement and soft skills could help promote entrepreneurship among students from different educational backgrounds.
Discussion about the effect of the ground plane on the fields radiated by a dipole antenna
There are several studies about the effects produced by antennas over ground planes and the wave reflections at far field distances. However, there are few studies about electromagnetic fields near the antenna. The objective of this paper is to determine the far field distance as the antenna is elevated from the ground plane, and to show the variation of the electric field at each case. To achieve this, an analysis of both modulus and phase of wave impedances is made, instead of commonly used expressions resulting in a more accurate prediction than by traditional methods.
Improvements Implemented in guiEditor and its Use in Teaching of Process Control Systems
This paper presents an overview of the recent enhancements implemented in guiEditor, a graphical user interface (GUI) editor for GNU Octave. The focus is on the improved functionality and usability of the tool, which is designed to facilitate the development of applications for teaching industrial process control systems. The potential of this tool for solving classroom problems and supporting laboratory experiences for students is demonstrated. The success achieved in the implementation of guiEditor is a evidence to its efficacy and encourages further development of the tool. These promising results motivate future research to explore the potential of guiEditor in facilitating the development of educational tools for industrial process control systems.
Web platform for the calculation of astronomical tide predictions: Implementation for the Buenos Aires maritime coast and its continental shelf.
The astronomical tide is a phenomenon that influences complex physical and dynamic processes in the ocean, and practical problems such as port access for ships and the determination of nautical chart datums. Nonspecialized users who require accurate tide predictions for the Argentine coast have only the 51 locations published by the Naval Hydrographic Service in its Tide Tables. This paper describes the operation of the web platform that allows obtaining accurate astronomical tide predictions for any location by entering only the date and the geographic coordinates of interest. The ease of access to the predictions is achieved through the optimization of the calculation for web queries, and the modeling of this phenomenon through empirical or hydrodynamic models. As an example, the region comprising the Buenos Aires maritime coast and its adjacent continental shelf is developed, where the amplitudes and epochs necessary for the calculation of the predictions are obtained from the result of the implementation of the ADCIRC hydrodynamic model for the area, in-situ observations and satellite altimetry.
Design and fabrication of a fume extractor controller for pulsed laser deposition of thin films
The deposition of thin films by pulsed laser deposition (PLD) is performed inside a deposition chamber. When the chamber is opened to change substrates and/or targets, the material deposited on the inner walls of the chamber releases vapors that are toxic in high concentrations. In order to improve user safety and to optimize time and resources, we fabricated a low-cost fume extraction system based on a domestic vacuum cleaner motor. The system, which proved to achieve an efficient flow rate and to work at acceptable temperature and noise levels, has been operational at the INTECIN Laser Ablation Laboratory since 2021. In this work we present a controller of the vapor extraction system. It uses an Arduino Nano development board, with which it provides assistance to the user through an interactive menu on an LCD display and a push button. It electronically controls the switching on and off of the extractor motor and the acoustic box coolers. It has protection sensors: a liquid sensor to detect possible water leaks from the cooling system, two cooler failure sensors, and a digital temperature sensor to stop the extractor motor when high temperatures are reached. It provides warning indications through the display, a buzzer and a series of LED lights.
Superficial microanalysis of marine algae for sustainable effluent treatment
The recognition tests of the structural, chemical, superficial and morphological characteristics of the adsorbents is a key point to take into account when the use of these materials is proposed as filling in adsorption columns for the treatment of industrial effluents. The superficial microanalysis of the material by SEM-EDS allows to study the pattern of distribution of the contaminants and to identify the possible functional groups participating in the adsorptive process. In this work, preferential adsorption zones have been found due to heterogeneities and the presence of organic groups on the surface of the material made up of marine algae with different affinities for each of the adsorbates tested (metal ions).
Radiofrequency applicator for biomass heating
In electromagnetic biomass processing, which has gained academic and industrial interest in recent years, an electromagnetic field interacts with the biomass, heating it. Its applications include the defrosting, cooking and pasteurization of food, the disinfestation of fruits, and the production of biofuels, among others. The main advantage of electromagnetic processing methods is that the heating takes place in the entire volume of the biomass to be treated in addition, it has great flexibility for its application in batch or continuous processing, resulting in faster and efficient processes. Although applications at microwave frequencies have recently received more attention than the radio frequency range, the latter has an important advantage: as the operating frequency is lower, the radiation penetration depth is greater, allowing more uniform heating and the possibility of processing larger volumes. This work presents the design, construction and electrical characterization of an electromagnetic heating system suitable biomass processing. From reflection coefficient measurements between 1MHz and 30MHz, an equivalent electrical model is developed and its parameters are determined. The operation of the system is described, with emphasis on the applicator.
Integration of the Gender Vision in Training by Competences in Engineering
The international call to highlight the problems related to women's equal rights and opportunities is growing. One of these problems is the minority participation of women in engineering programs, which is due to multiple factors and is evident both in access, permanence and graduation. This negatively impacts society with the loss of women's talents to build a sustainable world, an issue that is closely related to the sustainable development agenda of the United Nations Organization, through two of its objectives: SDG 5, to achieve Gender Equality, and SDG 4, Quality Education, to which the Faculties of Engineering adhere. It is propitious that, among the generic competences for engineering training in Latin America, which were proposed by CONFEDI in 2006 and assumed by ASIBEI in 2014, are the so-called Social, Political and Attitudinal. Also noteworthy is the joint recognition made by ACOFI, LACCEI and CONFEDI to the existence of the gender gap in the field of Engineering, through the creation of the Matilda Latin American Open Chair and Women Engineers, in 2020, and Commissions that address the theme in their own contexts. Quality education in Engineering finds an opportunity to consolidate strengths and address weaknesses, especially in instances of change of study plans and in the proximity of accreditation processes for the Argentine context, the gender gap being a challenge to consider. In line, and with the idea of contributing to these processes of transformation and innovation, a proposal is presented for the integration of the gender vision as part of the formation of social, political and attitudinal competences in engineering programs.
Studies of Adsorption-Desorption of Methylene Blue in a Fixed-Bed Reactor Filled with Cotton and Tanine Industry Waste
In this paper, a laboratory scale fixed-bed reactor filled with cotton husk and quebracho chips was used to test the capabilities of these materials to be employed as dyes adsorbent materials in effluent treatment of textile industries. The adsorption-desorption processes of methylene blue on both adsorbents were studied and the number of effective cycles was determined in each case. Desorbent efficiency of three substances was evaluated: NaCl 0.1 M, ethanol 50% (V/V) and tap water. As much as three adsorption-desorption cycles were obtained in all cases.
Improving the resolution of STED microscopy using the SUPPOSe algorithm
Here we apply the gSUPPOSe algorithm on images acquired using Stimulated Emission Depletion (STED) microscopy with the aim of improving the resolution limit achieved. We processed images of the nuclear pore complex (NPC) from cell lines in which the Nup96 nucleoporin was endogenously labeled. This reference protein forms a ring whose diameter is ~107 nm with 8 corners ~42 nm apart from each other. The stereotypic arrangement of proteins in the NPC has been used as reference structures to characterize the performance of a variety of microscopy techniques. STED microscopy images resolve the ring arrangement but not the eightfold symmetry of the NPC. After applying the gSUPPOSe algorithm to the STED images, we were able to solve the octagonal structure of the NPC. After processing 500 Regions Of Interest (ROIs), the average radius of the NPC was found to be R = 54.2 ± 2.9 nm, being consistent with the theoretical distances of this structure. To verify that the solutions obtained are compatible with a NPC-type geometry, we rotate the solutions to optimally fit an eightfold-symmetric pattern and we count the number of corners that contain at least one localization. Fitting a probabilistic model to the histogram of the number of bright corners gives an effective labeling efficiency (ELE) of 31%, which is in agreement with the values reported in for other cell lines and ligands used in STORM images, showing that SUPPOSe can reliably retrieve sub-resolution, nanoscale objects even in such noisy conditions.
Mapa diagnóstico de la inserción laboral de personas con discapacidad en Mar del Plata: un estudio exploratorio.
Resumen: El objetivo de este trabajo es elaborar un mapa de diagnóstico sobre la inserción laboral de personas con discapacidad (PCD) en la ciudad de Mar del Plata. Se trata de un estudio descriptivo que utiliza un diseño de investigación no experimental, selectivo y transversal. El artículo se centra en trabajadores de organismos públicos y privados y estudiantes de ingeniería de la ciudad de Mar del Plata (N= 252). Para la recolección de datos se utilizan cuestionarios semiestructurados, con preguntas cerradas con opción de respuesta múltiple y preguntas abiertas. En el análisis de los datos se aplican estadística descriptiva y análisis por categorías del discurso para interpretar las respuestas. Al analizar los resultados se puede destacar que el impacto de la inserción laboral de PCD mejora la RSE, cultura organizacional y reputación, y además, se observa que predominan barreras estructurales, falta de información y desinterés por parte de las empresas al momento de contratar PCD.
Removal of cadmium and chromium using activated carbons developed from lignocellulosic wastes
Agroindustrial peanut production in Argentina covers 3% of world demand. The surface area sown exceeds 400000 Ha and is mainly carried out in the Province of Córdoba. This generates a large amount of waste, being the shell the main waste. In the present work, a sample of activated carbon is developed from peanut shells by chemical activation. The activating agent used was orthophosphoric acid and the carbonization of the sample was carried out in an autogenerated atmosphere at a temperature of 450ºC. The study of the textural characteristics of the activated carbon prepared showed an extensive BET specific surface area (1253 m2/g) and a great development of the pore structure with a total volume of 1.01 cm3/g. The morphological study, by means of SEM micrographs, allowed visualizing the pronounced porosity of the material. From the analysis of the pore size distribution it could be determined that the carbonaceous material is of the mesoporous type. The performance of the activated carbon in the adsorption of Cr(VI) and Cd(II) in batch processes was studied. The results showed that the adsorbent material developed presented a good performance in the removal capacity of both pollutants.
Lumped flood routing through an interactive web application
Lumped flood routing in reservoirs is a fundamental topic in introductory hydrology courses in engineering programs. Understanding the associated concepts is of great importance for their subsequent application in professional life, such as in the design and operation of reservoirs. Students often have difficulty understanding the relationships between variables, parameters, and limitations between methods. In turn, experience shows that students waste time on spreadsheet calculations, and consequently, learning of concepts is not prioritized. In this work, an application is developed that solves lumped flood routing in a reservoir, where various parameters such as reservoir characteristics, input hydrographs, and the dam discharge organ can be modified. The tool has an interface that allows the user to interact in a simple way, since by easily modifying the parameters, the effect on the result of the lamination can be graphically seen. This application is open source and is available for any device with internet access.
Nickel removal using low-cost lignocellulosic materials
The world is constantly changing, awareness about caring for our planet is growing and brings with it changes, among which is the paradigm of the economy. Reducing the economic and environmental cost of the processes must be the challenge. Contamination with metals can cause different harmful effects since they are not degradable and bioaccumulative. Although some metals are essential, in excess all of them can produce harmful effects on the biota and consequently generate the loss of biodiversity with destruction of the ecosystem in the long term. In Argentina, the National Law 24,051 on hazardous waste places limits on the discharge of large amounts of substances, including metallic species such as nickel, chrome, copper, lead, etc. On the other hand, large amounts of natural materials are considered waste that, however, could be reused as pollutant-removing materials, entering a circular economy loop. Thus, water treatment using materials discarded by another industry could be the solution. Residues such as peanut shells (Argentina, with 400,000 tons per year, is the tenth largest producer in the world) or certain aquatic plants considered a pest by the FAO can be used as metal adsorbent materials. Aquatic macrophytes Salvinia molesta, Azolla pinnata, Lemna minor, Limnobium leaveigatum and Pistia stratiotes peanut shell (Arachis hypagaea), trunks, branches and moringa (Moringa oleifera) husks were used as adsorbents in tests for metal removal. These previously treated materials were characterized by the BET isotherm, FTIR studies, impurity release by TXRF, zero charge pH curves and later used for metal removal. For nickel, depending on the working conditions, removal efficiencies greater than 92% will be obtained for Azolla, peanut shells, moringa residues and Salvinia. For Lemna, Limnobium and Pistia stratiotes the % removal was less than 30 %. Subsequently, the dosage curves, the kinetic and adsorption equilibrium studies were carried out with the adjustment of the different models to the experimental data.
Women and engineering, from college to the world of work
From the observation, in the Delta Regional Faculty of the National Technological University, Campana town in the province of Buenos Aires, of the current and historical situation of the female shelling in the Engineering career, carrying out a theoretical analysis about the general panorama of gender inequalities in STEM (Science, Technology, Engineering and Mathematics) university careers, it is desired to determine the perception of graduates at the time of their insertion in the world of work. It is also desired to understand and document the reasons why a significantly lower number of women engineers are denoted in senior management positions, considering that there are many women in equal conditions than men, to ascend to this type of positions and who do not achieve or they can't do it. This work plans to focus on the barriers perceived by a group of women engineers graduated from the Delta Regional Faculty of the National Technological University, classifying these barriers as internal, social, interpersonal, attitudinal or interactive if they act before or after the insertion or if they are the product of the interactivity (or interaction) of combined factors at different moments of the passage through academic life.
Accompaniment students' formative trajectory, in a context of curriculum innovation
In 2014, the Faculty of Engineering and Sciences (FICA) of the Universidad de la Frontera (UFRO), together with the Faculties of Engineering of the Chilean universities of Bio-Bio and Talca, were awarded the contest "Implementation of the strategic plan - new engineering for 2030", a project whose main purpose was to "train world-class engineers", by incorporating in its educational process the international quality standards identified for the discipline, as well as its advances. The Chilean State, through the Production Development Corporation (CORFO) financed these initiatives, in which curricular innovation processes were promoted in the different engineering careers of these higher education institutions, under a process of harmonization understood as the degree of convergence, homologation and/or compatibility between the different elements that make up the training plans. Thus, in the year 2021, in the midst of the pandemic, and after many years of reflection and curricular construction, the Board of Directors of the UFRO approved the curricular innovation of the twelve civil engineering careers taught at this university, among the approved changes are: New degree profiles, Redesign of the basic cycle, incorporation of the bimester (academic period of 8 weeks duration) in the mathematics subjects of the first year, incorporation of pedagogical and psychological elements of accompaniment to the students, through an articulated work with internal instances of the university. Readjustment of degree mechanisms, and design of an integrative line of educatión in engineering and science to develop design, social responsibility and innovation competencies, applying STEM methodologies. As can be seen, it is a complex process of curricular innovation, which will begin to be implemented in 2022 under pandemic scenarios, product of COVID-19, which has affected the profile of students' entry to higher education, which is why it was necessary to analyze this context and the challenges that these curricula bring with them, This is the reason why we had to analyze this context and the challenges that these curricula bring with them, in order to look for options to implement the new curricular designs in the best possible way, providing all the necessary help to the main actors of the formative process, the students, to achieve success in their university studies, thus creating the System of accompaniment of the student's formative trajectory.
MagAnalyst: A toolbox for analyzing and fitting magnetization curves in MATLAB
Here, we introduce a newly developed and easy-to-use toolbox for modeling magnetization curves in MATLAB. The tool implements the physically based approach recently proposed by Silveyra and Conde Garrido to describe the ideal anhysteretic curve. The equation of state is simple and, at the same time, accurate, as has been demonstrated for various material scenarios. MagAnalyst first plots a set of curves to help identify the number of magnetic components to model. It then finds the model parameters without requiring programming or optimization skills from the user. As a result, noisy data from the most challenging scenarios can be accurately described with a single analytical function in which both magnetization and susceptibility are continuous and differentiable. We believe MagAnalyst can be a valuable resource for the magnetic materials community.
The empirical as a mobilizer of skills based on the topic of heat and energy efficiency.
In this work, are presented a diagnosis of the situation of the traditional way and of the teaching methods in a Faculty of the Electromechanical Engineering career and a proposal to motivate students to solve problems associated with laboratory experiences or workshops, which mobilize the competencies in training from the perspective of teachers and students. One of the empirical experiences that reveals competencies in group approaches and focused on students is presented, generated by the need to solve a specific problem whose prototype they had to build.
Design and fabrication of a low-cost coil winding machine for slotless toroidal stators
Slotless axial flux permanent magnet machines, so-called Torus, are particularly suitable for applications that require short axial length and a high power-to-weight ratio. The ease of construction of the slotless toroidal stator core enables the use of highly efficient amorphous and nanocrystalline alloys. However, winding the coils requires either a specific winding machine -which can be too expensive at a prototyping stage-, a purely manual process -which is highly tedious and inefficient-, or a cut ferromagnetic core to insert the pieces into pre-wound coils -which deteriorates the magnetic properties of the toroidal stator core-. Here, we demonstrate a winding technology suited for Torus’ stator prototypes. The device transfers the wire from the primary copper spool onto a secondary circular spool and then unwinds it onto the toroidal core. We designed 3D-printed accessories to achieve coils with good accuracy and repeatability. Our Torus winding machine is easy to build and use, and yet keeps the prototyping process cost low.
Introduction to the movement of non-spherical bodies in flows of moderate or low number of Reynolds
This work describes a project designed for teaching fluid mechanics content to engineering students and advanced students (academic internships) of the industrial design career of the Faculty of Architecture and Urbanism of the University of Buenos Aires (FADU- UBA). This project approach is to adhere to constructivist theories postulates, to the guidelines of the TPACK group and to the principles of project didactics (achieve an integrative, personalized, experiential, synthesizing, systematizing, conducive to the design process, participatory and selective teaching). It is considered strategic for 21st century engineering education to train students in creative thinking, train them to think about the new, about what is possible or what can be, enhancing their creativity in interdisciplinary work groups through academic activities that allow them to enhance their capacities thanks to the scientific knowledge acquired and the use of available technological tools. A simple Stokes device (design and instrumentation) is presented and a series of experiments in the range of 0.2 Re 10, which allow active learning of core concepts of fluid mechanics such as: deviation from sphericity of Stokes' law, the consequences of working with non-infinite flows, the sensitivity of the drag force to different flow patterns -particularly when the role of viscosity becomes predominant as the Re number is reduced-, the importance of the shape, the size, the relative orientation of the object to the flow direction, the surface treatment of the objects (whether natural or artificial), the mechanisms to reduce the drag force.
The Incidence of Information Technologies on the Profitability of Service Firms
The purpose of the research is to determine the influence of information technology (IT) on the profitability of service companies (including educational institutions), considering the moderating effect of the explanatory variables investment in training, investment in knowledge management and the administrative practices. The study is non-experimental, with a correlational scope and a quantitative approach. Secondary data sources were used, obtained through official databases, from the year 2011 to 2017. The study presents an analysis of panel data from a Cobb-Douglas production function and regression models for the long term analysis. The results show that investment in IT positively influences profitability and that knowledge management plays the role of moderating variable in the short and long term.
Lean 4.0, Industrial Processes Optimization at SMEs in the Great Buenos Aires Region
The adoption of Lean manufacturing strategy significantly boosts the performance of an industrial company, focusing on activities that add value, and seek to eliminate all waste or activity that does not add value to the customer. On the other hand, the Industry 4.0 model is considered a world-class paradigm that aims to empower people and optimize processes through various technologies arising from digitization. The combination of these models resulted in terms like "lean 4.0". However, there is no clear and detailed definition of the result of the integration of both paradigms. This work investigates the opportunities and strengths generated by the complementation of Lean management and Industry 4.0, and how the Industry 4.0 model can facilitate and strengthen the adoption of Lean methodology. The article addresses the importance of an innovation ecosystem for its diffusion in the productive framework, and the role of the University in the process of adopting new practices in companies. The new industrial model includes a complexity and depth that cannot be addressed by a single institution, the successful models in Europe and particularly Germany are supported by Innovation ecosystems. This article from an Industrial Engineering Research Group, based in the Faculty of Engineering of the National University of Lomas de Zamora presents a conceptual framework, and the work is being done with local SMEs. The paper presents three cases of firms that are optimizing production processes with the aid of Lean 4.0 strategy. The importance of an innovation ecosystem in the approach of the SMEs firms to the new paradigm is highlighted in the paper.
Application of Interpolatory Methods of Model Reduction to an Elevated Railway Pier
Be it due to time constraints or insufficient processing power – or a combination of both – the use of models with large numbers of Degrees of Freedom (DoF) may be unsuitable to provide a client with results in a timely manner. The use of physics-based reduced models – or proxy structures – are popular among practitioners to solve this issue, as they keep intact all the underlying properties of the 2nd Order Problem at a fraction of the cost. In this report, Interpolatory Methods of Model Reduction are explored as an alternative, and applied to a 3D Space Frame. The methods chosen allow for structure-preserving reduced models, and differ mainly on the selection of interpolation points. A comparison between the response of these reduced models and a proxy structure against two different types of inputs show that Interpolatory Methods are a viable, more flexible option when it comes to reducing the internal DoFs of a structural model, though engineering judgement is required to ensure it adequately captures the most relevant aspects of the response for the specific application.
Technological Surveillance on Social Insertion Strategies Aimed at the Female Prison Population
This article presents the application of technological intelligence tools such as technological surveillance TS, to analyze existing social insertion strategies in the female prison population. The purpose is to offer interested parties a bibliometric analysis through the biblioshiny interface, as a tool for quantitative research in scientometric and bibliometric studies levels of analysis (sources, authors, and documents) and structural analysis (conceptual, intellectual and social). The database used for the search is science Direct, where a temporal filter was applied to obtain studies published between 2015 and 2022. The analysis results manage to identify the most relevant, emerging, and declining strategies, according to the selected data search.
Massive Open Online Course in Electrical Microgrids Cybersecurity, State Estimation and Optimization utilizing Open Science Datasets
Smart Grids represent one of the most important sustainable electrical power systems. Microgrids are vital components of the smart grid, supplying energy to different types of customers in both stand alone or grid connected modes. Therefore, the study of microgrids is of extreme relevance. Massive Open Online Courses (MOOCs) have become a useful alternative for millions of students and professionals that wish to learn about a specific topic. In this scenario the design of a MOOC to study aspects of a microgrid such as Cybersecurity, State Estimation and Optimization represents a step towards the modernization of the education associated with electrical systems. This paper describes the main aspects in the design process of a MOOC in Cybersecurity, State Estimation and Optimization for Electrical Microgrids. The process of design has been supported by the eFellows program administered by the American Society for Engineering Education (ASEE) and funded by the US National Science Foundation (NSF) and the Latin American and Caribbean Consortium of Engineering Institutions (LACCEI). The MOOC includes practical online laboratories using engineering software, such as MATLAB, Python and Google Colaboratory, utilizing real datasets for solar radiation, electrical demand, voltage, current, among other variables. The real datasets, provided by the Ministry of Mines and Energy of the Dominican Republic, have been placed in Open Science Framework’s repository, granting free access to other researchers, professors and students.