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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> - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Mental health quality of life in low- and middle-income countries: an assessment tool(Springer Science and Business Media LLC, 2025-12-11) - Some of the metrics are blocked by yourconsent settings
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Item type:Publication, Mindful meditation for epidural catheter placement during labor: a single-center randomized controlled trial(Oxford University Press (OUP), 2025-06-16); - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Beyond bones: Revisiting the role of vitamin D in chronic liver disease(Baishideng Publishing Group Inc., 2025-11-27); Astrid Ardon-Lopez<jats:p>Beyond its traditional role in calcium and bone metabolism, vitamin D has emerged as a critical regulator of liver health. Its active form, calcitriol [1α,25(OH)2D], signals through the vitamin D receptor (VDR), which is expressed in hepatic stellate cells, Kupffer cells, and cholangiocytes. Through this pathway, vitamin D modulates fibrosis, inflammation, oxidative stress, bile acid homeostasis, and immune responses. This review explores the growing body of evidence linking vitamin D deficiency to chronic liver diseases, including autoimmune hepatitis, primary biliary cholangitis, alcoholic liver disease, viral hepatitis B and C, and metabolic-associated steatotic liver disease. Low vitamin D levels are frequently observed in these conditions and are associated with disease severity, complications (such as spontaneous bacterial peritonitis, sarcopenia, and hepatic encephalopathy), and increased mortality. Mechanistically, vitamin D-VDR signaling inhibits profibrotic TGF-β1/SMAD pathways, downregulates proinflammatory cytokines, enhances regulatory T cell differentiation, and improves insulin sensitivity. Although preclinical studies support its protective effects, clinical trials of vitamin D supplementation have produced mixed results. Overall, vitamin D appears to influence multiple pathways in liver disease pathophysiology, and correcting its deficiency may offer clinical benefits. However, its integration into clinical care will depend on identifying responsive patient subgroups and defining optimal dosing strategies to maximize therapeutic benefit.</jats:p>