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Item type:Publication, Impact of a bioethics and humanities program on the educational training of nephrology residents(Oxford University Press (OUP), 2025-09-24); - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Who Holds the Reins of Power in Chaos? Military Involvement and the Emergence of a De Facto State of Exception in Mexico(Universidad Panamericana, 2025-03-04)Torres-Checa, Daniel E.Mexico’s public security has been progressively moving towards militarization for at least eighteen years. The army’s participation, previously reserved for war and exceptional junctures, has normalized. This article critically reviews the military’s role in Mexico’s bloodshed and human rights crisis during the 2006-2024 period. I argue that the ongoing phenomenon has perpetuated the cycle of violence, threatened democratic standards, and severely impacted human rights. In this framework, I question whether the policy of militarization can be placed in the context of a de facto state of exception. My aim, in short, is to assess the ways in which militarization reinforces exceptionality and how they both signal a counter-phenomena to human rights. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Participación política juvenil ante el primer debate presidencial, México 2024(Escuela de Comunicación - CampCM, 2025-06-30) - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Management of scientific and ancestral knowledge: a decision-making model in mezcal industry in Mexico(Frontiers Media SA, 2025); ; Leyva-Hernández, Sandra NellyIntroduction: Knowledge management is essential to ensure the sustainability of rural communities and small producers since it generates value for innovation, productivity, and competitiveness. The aim of this study is to identify relevant factors for adequate decision-making in managing knowledge in the Mexican mezcal industry and its impact on developing rural communities and small producers - mezcaleros. For this purpose, a decision-making model for managing scientific and ancestral knowledge is created to support links with universities, research centers, and rural communities to accelerate innovation and competitiveness in this sector. Methods: The analysis methods were carried out through decision-making, machine-learning techniques, and fuzzy logic. Results: The Bayesian Network model suggests that the preceding variables to optimize the Mezcaleros Knowledge Management are the Mezcaleros Indigenous community, the Denomination of Origin, Scientific and Ancestral Knowledge, Waste Management and Use, and Jima. Discussion: This knowledge management model aims to guide small producers to be more productive and competitive through the support of a facilitator. ©The authors ©Frontiers in Artificial Intelligence ©Frontiers Media SA. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Internationalization and Trust From the Perspective of Mexican Entrepreneurs: Policy Implications for Small‐ and Medium‐Sized Enterprises in Developing Countries(Wiley, 2025-05-05); Felipe De AndaThis article examines the associations between trust—institutional and personal—and entrepreneurial internationalization by surveying to collect data from entrepreneurs (owners or chief executive officers). The survey involved a representative sample of 103 respondents who are members of the Employers Confederation of the Mexican Republic (Coparmex), Jalisco delegation. The survey process facilitated a comprehensive diagnosis, identifying trust levels among domestic and internationalized entrepreneurs. Based on <jats:italic>t‐</jats:italic>tests for mean comparisons, correlation, and regression analyses, the trust levels reported by entrepreneurs do not differentiate between those with exported sales and those with only local businesses. It suggests, all else being equal, that the trust of foreign partners should explain the possibilities for the internationalization of Mexican entrepreneurs. These findings have policy implications to support international networking and transparency by providing training in global business practices based on building trust with foreign partners and strengthening diplomatic relations and access to market information. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Entre la eficiencia y la desinformación: la integración de la inteligencia artificial en el periodismo mexicano(Universidad Complutense de Madrid (UCM), 2025-02-26); García Félix Edgar MiguelEl impacto de la inteligencia artificial (IA) en el periodismo varía según contextos socioeconómicos y culturales, y el caso de México no es la excepción. Para conocer cómo los medios mexicanos integran herramientas de IA en sus procesos, este estudio analiza, mediante entrevistas de profundidad, los patrones de adopción tecnológica de diez medios digitales mexicanos reconocidos por su credibilidad. Su integración incluye la optimización de tareas y, en menor medida, la generación de contenido. A pesar de estas iniciativas, la IA enfrenta múltiples barreras en México como los altos costos de implementación, la desconfianza hacia las herramientas y la falta de capacitación técnica, lo que limita su uso. Este panorama contrasta con otras regiones, donde la IA es usada ampliamente en la creación de contenidos automatizados para audiencias específicas. Otro desafío crítico es el riesgo de desinformación, exacerbado por la capacidad de las herramientas de IA para generar contenido hiperrealista que puede ser manipulado. Aunque estas tecnologías ofrecen eficiencia, los medios mexicanos subrayan la necesidad de un control humano riguroso para garantizar la precisión y la ética de la información. En este contexto, los hallazgos revelan una paradoja: mientras que la IA tiene el potencial de transformar el periodismo, su adopción está marcada por tensiones económicas, éticas y tecnológicas. Para superar estas barreras es necesario invertir en infraestructura, capacitación y regulaciones que fomenten su uso responsable. ©Los autores ©Universidad Complutense de Madrid (UCM) ©Estudios sobre el Mensaje Periodístico. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Knowledge and innovation management model in the mezcal industry in Mexico(Elsevier, 2025); 11 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Procrastinación académica, adicción a redes sociales y funciones ejecutivas: Un estudio de autorreporte en adolescentes(Universidad Panamericana, Escuela de Pedagogía, 2024)5 72 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Sustainability and Quality of Life in Marginalized Areas: An Impact Evaluation of a Community Center in Santa Fe, Mexico(MDPI, 2024); The aim of this paper is to present the results of an impact evaluation of a community center in health, capacity building, and digital access, which form an approximation of quality of life, in the population of Santa Fe town in Mexico City, from 2022 to 2024. The methodology is quantitative, using an impact index and the differences in differences (DD) technique. The data were obtained from primary sources with surveys undertaken via questionnaires. The center is operated by a private university and funded by private firms. The results show a positive impact of 0.287127 out of 1 on the weighted impact index, which allows us to consider this program successful in improving the quality of life of the target population. Through impact evaluation, the effectiveness of interventions and opportunities for improvement are identified, fostering collaboration among local actors, including community members, state-run public programs, and community centers. This collaborative effort improves the quality of life, creating a sustainable community wherein each actor addresses specific needs. Impact evaluation plays a crucial role in measuring sustainability because it is a continuous improvement process that, when combined with other actions, enhances the community’s overall well-being. ©2024 MDPI, The authors.16 47 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Optimization of public resources through an ensemble-learning model to measure quality perception in the social protection system in health of Mexico(Springer, 2018); Rivera-Peña, GustavoIn order to optimize the use of public resources, a model of ensemble learning was proposed to measure the perception of quality in the medical care granted to the people affiliated to the social protection in health system of Mexico. Which allows a more efficient allocation of resources based on the main areas of opportunity identified in the measurement of service quality. Identify the effect of the main factors that are directly related to the satisfaction level and perception of quality of health services. A satisfaction index was built using an ensemble model using principal component analysis, logistic model and bagging meta-estimator, to identify the effect of a group of factors in the perception of quality of health services and monitor the perceived quality of users in real time. The survey data collected for the “Social Protection System in Health-SPSS 2014” was used, considering a sample of 28,290 users. The proposed index shows, in general, the positive perception of quality of health services, the national average index was of 0.0756, 95% CI [− 9.714 to 2.027]. There are factors statistically significant (P < 0.05) that influence these results, among the most important that can be highlighted is the good perception of infrastructure OR 2.12; CI [95% 1.9–2.36]; the gratuity of the service provided OR 1.98; CI [95% 1.42–2.76]; and full medicines supply OR 1.81; CI [95% 1.91–2.36]. The key factors identified that determine the perception of quality allow to define focused strategies and lines of action to improve service quality as well as better allocation of resources. ©Springer, The Authors.Scopus© Citations 1 21