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Item type:Publication, Restricciones físicas y de políticas para la comunicación digital en organizaciones cubanas(Escuela de Comunicación - CampCM, 2026) - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Modelo de competencias investigativas para programas de doctorado en educación en universidades mexicanas: una propuesta desde la alfabetización informacional(Universidade de Brasília, 2026-02)Este artículo presenta los resultados de un proyecto de investigación doctoral centrado en el desarrollo de competencias investigativas como parte esencial de la alfabetización informacional en estudiantes de doctorado en educación. A partir de un análisis de programas de posgrado en universidades mexicanas, el estudio identificó la falta de modelos sistemáticos que orienten la formación integral en investigación, más allá de disciplinas metodológicas aisladas. En respuesta, se desarrolló un modelo propio de competencias investigativas, dirigido específicamente a estudiantes de doctorado en el ámbito educativo. El modelo se estructura en torno a cuatro categorías fundamentales: investigación científica, recuperación y gestión de información, métodos de trabajo colaborativo y ética de la investigación. Cada categoría incluye su definición, objetivos e indicadores, lo que proporciona una guía clara y coherente para el desarrollo de las competencias necesarias para la formación de investigadores de alto nivel. La investigación empleó un enfoque de métodos mixtos, que integró el análisis documental de los planes de estudio, cuestionarios aplicados a los estudiantes y una revisión de instrumentos institucionales. Esta metodología permitió una comprensión contextualizada y empírica de las brechas de formación existentes. El modelo propuesto constituye una herramienta teórica y práctica que fortalece la formación investigativa de los estudiantes de doctorado en educación, con el fin de contribuir al mejoramiento de los programas de doctorado en México y otros contextos latinoamericanos. Al concluir este trabajo, se considera que este es solo el comienzo de un amplio horizonte que se abre para la formación de investigadores que integren programas de doctorado de calidad en nuestro país. Se espera que, al menos, se comprenda mejor la importancia de que los estudiantes desarrollen habilidades investigativas, tan necesarias para la formación de nuevos doctores en el campo de la educación y, por qué no, en otras áreas del conocimiento. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Discovery, Invention, and Supposition. Three Case Studies from Medieval Sardinia(BRILL, 2021-08-05); - Some of the metrics are blocked by yourconsent settings
Item type:Publication, County and Nobility in Norman Italy: Aristocratic Agency in the Kingdom of Sicily, 1130-1189(Bloomsbury Publishing Plc, 2020)Whilst historians often regard the Norman Kingdom of Sicily as centralised and administratively advanced, County and Nobility in Norman Italy counters this traditional interpretation; far from centralised and streamlined, this book reveals how the genesis and social structures of the kingdom were constantly fraught between the forces of royal power and local aristocracy authority. In doing so, Hervin Fernandez Aceves sheds important new light on medieval Italy. This book is the result of thorough research conducted on the vast source material for the history of this fascinating 12th-century world. Starting with the activities of Norman counts and the configuration of the counties, it explores how social control operated in these nodes of regional authority, and argues that the Sicilian monarchy relied on the counties (and the counts’ authority) to keep the realm united and exercise control. © Hervin Fernández-Aceves 2020. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, The Indirect Effects of Participation in Sports on Entrepreneurship: Evidence from Russian Longitudinal Data(SAGE Publications, 2025-11)The article presents a theoretical model and its corresponding empirical test on the indirect effects of participation in sports on entrepreneurship among non-professional athletes. The empirical strategy consists of panel data econometric techniques, controlling for confounding factors and possible endogeneity concerns. Data are taken from the Russian Longitudinal Monitoring Survey (n = 197,699 observations from 33,889 individuals over the years 2000–2019). The results suggest that individuals who engage in sports and/or physical exercise are more likely to become entrepreneurs, including self-employed individuals, as well as to hire more workers compared to their sedentary counterparts. Overall, non-professional athletes may increase their likelihood of becoming entrepreneurs by 12% to 36% (odds ratios), and hire about 1% to 2% more employees. Therefore, entrepreneurship should be added to the long list of reasons for the promotion of sports and physical exercise. Other implications and specific findings by age, gender, and type of sport are discussed. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Electrodermal Response Patterns and Emotional Engagement Under Continuous Algorithmic Video Stimulation: A Multimodal Biometric Analysis(MDPI AG, 2026-01-18); ; ; - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Optimization Techniques for Improving Economic Profitability Through Supply Chain Processes: A Systematic Literature Review(MDPI AG, 2026-01-04) - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Medición y comparación de la calidad del empleo en México con un índice multidimensional(Instituto Mexicano de Ejecutivos de Finanzas, A.C. (IMEF), 2025-11-07)<jats:p>El presente artículo busca contribuir al análisis y medición de la calidad del empleo en México, con la construcción de un índice multidimensional con el que se mide y compara a las 32 entidades federativas en dos periodos de tiempo, el primer trimestre de 2012 y el primer trimestre de 2022. La metodología aplicada incluye el Análisis de Componentes Principales y la prueba t pareada para datos relacionados. En la construcción del índice se utilizan datos de la ENOE que presentan una relación positiva con la calidad del empleo. Los resultados muestran baja calidad del empleo en México en ambos lapsos, con una ligera mejoría en estos 10 años en la mayoría de las variables consideradas en el índice. Además, en general, los estados del norte presentan mayor calidad del empleo que el resto del país. Una de las limitaciones en el trabajo es que no se contemplan todos los aspectos de la calidad del empleo, por la disponibilidad de datos. Los hallazgos en este trabajo tienen implicaciones en la política laboral y social del país, particularmente para los estados del sur, que son los que se encuentran más rezagados en ingresos, seguridad social y contratos laborales escritos.</jats:p> - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Uncertainty quantification of compressive stress response in expanded polystyrene foams using evidential neural networks(SAGE Publications, 2026-01-09)<jats:p>This study investigates the application of Deep Evidential Regression in shallow feed-forward neural networks to model and quantify the compressive stress response of expanded polystyrene foam. This foam material, widely utilized for impact protection and packaging, exhibits distinct mechanical behavior characterized by elasticity, plateau, and densification stages during compressive loading. This research adopts a data-driven approach, leveraging artificial neural networks enhanced with evidential learning to predict the distribution of stress responses, thereby addressing both aleatoric and epistemic uncertainties. The methodology involves organizing stress-strain data into training, validation, and test sets, adding noise to simulate real-world conditions, and training models with evidential layers. Results demonstrate that the proposed models maintain high predictive accuracy, with coefficients of determination exceeding 0.90 for noisy test data and above 0.99 for noise-free data. The evidential regression models also provide robust uncertainty quantification, essential for applications where data quality varies. This study’s findings highlight the efficiency and effectiveness of Deep Evidential Regression in enhancing the reliability of stress-strain predictions for EPS foam, offering significant potential for broader application to similar foam materials.</jats:p> - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Declaring Worldviews in SSM for Sustainability & Community Learning(Springer Science and Business Media LLC, 2026-01-08); Eliseo Vilalta-Perdomo<jats:title>Abstract</jats:title> <jats:p> For over fifty years, Soft Systems ideas and the Soft Systems Methodology (SSM) have played a pivotal role in understanding various problem situations and initiating action. Often tackling the grandest challenges of our time, SSM will retain continued relevance in helping decision-makers address sustainability challenges within organisations and their communities. In this paper, we are concerned with the <jats:italic>meaningful co-creation of sustainable value through community-based learning using SSM.</jats:italic> More specifically, recognising that a sustainability paradigm, characterised by the <jats:italic>need to create a just and safe space for humanity to thrive within the means of a living planet</jats:italic> (as called for by Raworth, 2017), is often marginalised or overlooked. This paradigm presents us with an ethical imperative, complex and messy challenges/issues, and a set of ideals (articulated in the United Nations Sustainable Development Goals) that are significantly off track. This paper employs a variation of the Delphi method, drawing on the authors’ collective interest and experience in applying SSM in communities, to propose a double-loop learning cycle to explore the underlying assumptions of our worldviews and mental models within communities. We suggest that an SSM learning cycle can be enhanced by initiating conversations on relevant <jats:italic>models for sustainability</jats:italic> (such as Doughnut Economics, UN SDGs, and the principles for a Circular Economy), to find common ground for triggering new learning. This idea is contextualised and proposed as the <jats:italic>value(s)-action gap</jats:italic> phenomenon, which can help explain the difference between an individual, an organisation, and/or a community's <jats:italic>intention(s)</jats:italic> and their actual <jats:italic>action(s).</jats:italic> In doing so, find common ground, shift to higher levels of systems consciousness from an ego-centric to an ecosystem level of awareness, engage communities, and take an intergenerational perspective. We suggest that incorporating a double-loop learning cycle into SSM can support organisations and their communities in putting shared values into meaningful action. </jats:p>