Cultura Científica y Tecnológica

Mathematical journal as strategy to develop skills in learning addition

2025-04-10T13:11:26-06:00

This paper explores the use of the mathematical journal as a teaching strategy to develop addition skills in second-grade elementary school students. The intervention was carried out with a group of 28 students from an elementary school in Ciudad Juárez, Chihuahua, Mexico, who were assigned a specific notebook to document addition problems based on everyday situations. The methodology included initial activities, increasing the complexity of the problems, and contextualizing them in practical scenarios. The results indicate that this tool not only improved numerical skills but also fostered critical thinking and motivation toward mathematics. Students showed greater willingness to participate and contextualized mathematical problems in their daily lives, which facilitated meaningful learning. This innovative approach adds value by considering both the students' sociocultural context and their daily experiences, promoting more inclusive learning. The implementation of the mathematical journal as a teaching resource proved effective in improving addition skills and strengthening students' commitment to mathematics.

Equations of tangent planes using GeoGebra

2025-03-24T11:46:10-06:00

This paper provides a proposal for teaching calculus in several variables, specifically about tangent planes using the GeoGebra software as a teaching tool. It is about getting the most out of the different semiotic representations (algebraic, graphic and numerical) that the software is capable of providing, to obtain the equation of the plane tangent to a function in R3. The development of the work is through examples that gradually increase their complexity in abstraction, culminating in an original generalization outside the traditional discourse. In general, the subject is approached by textbooks using vectors and a whole baggage of concepts to achieve the desired equation. With this methodology, the student only needs to know two mathematical concepts such as the calculation of limits and determinants.

Presentation

2025-09-11T14:44:48-06:00

Furniture designs under circular economy considerations and their technological transfer

2025-05-28T00:15:52-06:00

This work presents a project from the Industrial Design discipline at the Autonomous University of Baja California (UABC), showcasing the design process developed in the classroom at the undergraduate level. The methodology integrates principles of circular economy (CE) into furniture design, incorporating modular and circular design strategies that emphasize material selection, waste reduction during manufacturing, extended product lifespan, and enhanced user experience. Technology transfer (TT) serves as a fundamental component, enabling intellectual property protection and the sustainable commercialization of products. The project demonstrates the practical application of knowledge by students and faculty, supported by UABC regulations that safeguard the authorship of inventions. A comprehensive TT framework is proposed to ensure viable, feasible, and sustainable solutions for the university, the market, and the environment. Furthermore, the scope of classroom-generated projects is discussed, highlighting the required documentation to facilitate product negotiation and addressing economic, environmental, and social sustainability criteria, along with technical and regulatory challenges.

Power quality study in an industry in Ciudad Juarez, Mexico

2025-05-28T10:21:18-06:00

This study aims to analyze the parameters that affect the quality of electrical energy in a maquiladora industry in Ciudad Juarez, Chihuahua, Mexico, identifying current regulations and the consequences of problems in energy quality. The methodology used includes data collection through a Fluke 1750 Power Recorder, followed by a detailed analysis of factors such as voltage, current, frequency, and harmonic distortion. The results reveal that energy quality shows significant variations that can impact the operational efficiency of the industry, as well as the lifespan of equipment. Improvement actions are proposed based on the findings, highlighting the importance of conducting periodic studies to ensure a stable power supply. This work contributes to sustainability by promoting more efficient energy use, reducing operational costs, which in turn minimizes the environmental impact of industrial operations. The implementation of the recommendations derived from the study not only optimizes energy performance but also encourages responsible practices in resource usage, aligning with sustainable development goals.

Genetic Algorithms and Repurposed Electronics: Revolutionizing E-Waste Mitigation

2025-05-29T14:53:36-06:00

The fast pace of technological advancement and consumer demand contribute to an ever-growing accumulation of electronic waste. These devices' improper disposal and inadequate recycling have led to environmental degradation and potential health hazards due to hazardous substances. Moreover, this issue also adds to the depletion of valuable resources. To address the e-waste problem, innovative approaches are crucial. Many solutions attempt to exploit e-waste by having the obsolete devices perform work less substantially than initially designed. This study, in contrast, demonstrates that it is possible to repurpose e-waste electronics for sophisticated jobs. Specifically, the power of CPU boards from outdated tablets was harnessed to execute genetic algorithms. The successful results from the experiments in this study show that it is possible to use outdated devices to perform tasks such as fine-tuning antennas and attitude optimization of aerospace devices. By transforming discarded electronics into valuable resources for specific applications, we can help mitigate the environmental impact and contribute to a more responsible technological ecosystem.

Correlation Analysis: Social Technology Projects and Perception of the Welfare State, Ciudad Juarez: 2010-2020

2025-07-21T14:51:13-06:00

This study analyzes the correlation between the implementation of technological social projects and the perception of happiness and security documented in the report “Así estamos Juárez: Sistemas de Indicadores de Calidad de Vida” (Juárez Today: Quality of Life Indicator System). Social technology is positioned as a collaborative alternative focused on community needs and social innovation, addressing issues such as the environment, unemployment, poverty and social exclusion through social innovation projects. Ciudad Juarez, Chihuahua, Mexico, has promoted social projects with a technological focus; however, the implementation of social innovation projects has been unequally distributed. Therefore, the relevance of this study lies in analyzing whether these social technological programs influence the civil perception of the welfare state. The study aims to evaluate whether there is a significant correlation on the perceived effectiveness of social technology projects implemented between 2010 and 2020 in the city, through statistical methods: by properly determining the variables of a correlation analysis, between the perception of the welfare state; quantified by surveys and government statistics, and a sample of social technology projects, collected from news articles and reports from OSFL (non-profit social organizations), providing a frame of reference in accordance with the perception of social progress with technological tools.

Utilization of Organic Waste in Industrial Cafeterias in Ciudad Juárez Through a BiodigesterEn el ámbito global, se generan entre 7000 y 10 000 millones de toneladas de desechos anualmente, de los cuales aproximadamente el 60 % son orgánicos y provienen de actividades empresariales. Esta situación aumenta la huella ecológica, haciendo necesario desarrollar métodos sostenibles para su reciclaje, en línea con la economía circular, que promueve la reducción, reutilización y reciclaje de materiales. En respuesta, se propone descomponer y aprovechar los residuos orgánicos generados en las cafeterías de empresas manufactureras en Ciudad Juárez, Chihuahua, México, mediante un biodigestor aeróbico. La metodología consta de siete etapas, desde la identificación de desechos hasta el empaque de la composta para su uso agrícola. Este enfoque no solo reduce residuos, sino que transforma la gestión de desechos en una oportunidad económica, generando composta de alta calidad para mejorar la productividad agrícola. Los resultados muestran una reducción del 70 % en los residuos orgánicos generados en las cafeterías de las empresas participantes, evidenciando la eficacia del sistema propuesto. Este proyecto minimiza el impacto ambiental y promueve la sostenibilidad económica y social al cerrar el ciclo de recursos en la comunidad.

2025-06-06T10:19:40-06:00

Globally, between 7,000 and 10,000 million tons of waste are generated annually, of which approximately 60% are organic and come from business activities. This situation increases the ecological footprint, making it necessary to develop sustainable methods for recycling, in line with the circular economy, which promotes the reduction, reuse and recycling of materials. In response, it is proposed to decompose and utilize the organic waste generated in the cafeterias of manufacturing companies in Ciudad Juárez, Chihuahua, Mexico, through an aerobic biodigester. The methodology consists of seven stages, from waste identification to compost packaging for agricultural use. This approach not only reduces waste, but transforms waste management into an economic opportunity, generating high-quality compost to improve agricultural productivity. The results show a 70% reduction in organic waste generated in the cafeterias of participating companies, demonstrating the effectiveness of the proposed system. This project minimizes environmental impact and promotes economic and social sustainability by closing the resource cycle in the community.

Artificial intelligence for accessible diagnosis in the identification of melanoma and other skin lesions

2025-06-09T10:56:58-06:00

The objective of this social innovation project is to generalize access to accurate diagnostic tools by promoting the implementation of early detection systems in clinical settings with limited resources. The aim is to develop deep learning systems to improve the accuracy of early melanoma detection, which is considered one of the most aggressive forms of skin cancer, emphasizing the need for precise diagnosis to reduce mortality. Through deep learning and transfer learning, the system identifies skin lesions using dermatoscopic images, leveraging pre-trained convolutional neural networks (CNNs) for feature extraction. Transfer learning is used to adapt the specific task of classifying pigmented skin lesions. This approach enables the use of pre-existing knowledge in CNN models to enhance the efficiency and accuracy of melanoma identification. Furthermore, by reducing the need for invasive medical procedures and optimizing resource use in healthcare systems with limited infrastructure, the project contributes to the sustainability of healthcare, promoting more accessible and accurate diagnoses. The development methodology is crucial and is presented in this work, with the expectation that improvements in melanoma detection capabilities will have a positive impact on public health and long-term sustainability.

Sustainability relating to continuous improvement

2025-06-10T11:20:27-06:00

Companies have adopted sustainability in the last decade ensuring well-being for future generations, its first applications that have been recorded in the literature review are through continuous improvement, because this is a systematic approach to improving any type of process, products and/or services by finding opportunities to reduce and eliminate unnecessary activities, an example of this applied to sustainability is by reducing the consumption of energy, waste, materials among other activities. The objective of this research is a literature review and bibliometric analysis through the process of five steps data collection, data analysis, data visualization and finally, interpretation and results taking the Ebsco database with the keywords in title “sustainability” “Continuous improvement” and selecting refereed publications were found 3, 025 expanding the search between 2015 and the present, these analyzed works allow us to conclude that industrial engineering has had a relevant role in integrating continuous improvement with sustainability allowing industries to adopt social and environmental responsibility by improving their processes and as a result a bibliographic map was created with the relationship of similar articles linked by authors, keywords and other analysis.

Systematic review of migration factors that impact sustainable development

2025-06-19T09:15:21-06:00

Migration is a phenomenon that is impacting globally, specifically sustainable development. Despite this, the information contained in the literature is insufficient to determine the relationship and level of impact between both aspects. This research aims to conduct a systematic literature review, based on the PRISMA methodology and a bibliometric network analysis using VOSviewer, focused on identifying migration factors that impact the Sustainable Development Goals, such as health and well-being, quality education, decent work, and economic growth, as well as their factors, including the criteria for developing the indices and their reliability. All of this is intended to promote the development of appropriate strategies to reduce the negative impact or convert it into a positive one, as well as to assimilate migration into a contribution to improving the quality of life for society as a whole.

IoT system for intelligent monitoring and control of Californian worm breeding beds

2025-06-03T21:00:42-06:00

The objective of this research is to develop an Internet of Things (IoT)-based system for real-time monitoring and control of key climatological variables, such as temperature and humidity, in a California worm bed (Eisenia fetida). This system is designed to maintain the health of the worm colony, improving breeding conditions and maximizing the production of solid humus and leachate. The proposed IoT system is intended to enable efficient remote control, monitoring the conditions of the breeding bed and adjusting variables to prevent unfavorable scenarios for worm health. By incorporating IoT sensors and a structural design, which includes aeration and leachate collection mechanisms, optimal monitoring and control are sought to ensure the continuous production of high-quality vermicompost. Preliminary results include the construction of the breeding box, the appropriate selection of sensors, and the validation of the system through temperature and humidity measurement tests. Currently, the next step is to integrate all the components and conduct tests with worms to evaluate the system's performance under real-life operating conditions.