How lecturers in higher education handle, or curate, educational resources during course design, has become increasingly important with the growing amount of digitally available educational materials. Despite the recognition of curation in educational literature and the development of two conceptual …

BACKGROUND: Sarcopenic obesity (SO) is a clinical condition defined by the coexistence of high body fat mass and low muscle function and mass, which increases the risk of adverse health outcomes, including disability and mortality. Early detection and frequent monitoring of SO are essential for preventive …

Background&aims Obesity and sarcopenia are major health concerns, particularly among older populations. Dietary protein may help preserve muscle mass and function, but high-protein diets, especially from animal sources, may also increase adipose mass. We investigated associations of total, animal, and …

Introduction The cardiovascular biomarkers troponin T, N-terminal pro-B-type natriuretic peptide, and fibroblast growth factor 23 are elevated in hemodialysis patients and associated with an increased cardiovascular mortality risk. Nocturnal hemodialysis improves the fluid status in hemodialysis patients. …

The widespread adoption of generative agents (GAs) is reshaping the healthcare landscape. Nonetheless, broad utilization is impeded by restricted access to high-quality, interoperable clinical documentation from electronic health records (EHRs) due to persistent legal, ethical, and technical barriers. …

Research and innovation have long been dominated by models and epistemologies rooted in global North institutions, privileging formalised knowledge systems over lived experience and embedded wisdom. In response, we conceptualise the Inclusive Research Commons (IRC), a transdisciplinary and practice-based …

Global economic growth and its associated challenges, particularly those related to environmental impact, vulnerabilities in various global regions, inclusivity, and sustainability, prompt serious reflections on the types of economic and business models capable of achieving such growth, while addressing …

This research explored whether machine learning models could predict shifts in participants’ preferences and attitudes towards energy solutions based on behavioural and self-reported engagement data collected during visual educational interventions. Through four sub-questions, the study evaluated how …

Internet-related addictive behaviors are a public health concern, especially in Asian jurisdictions. Guided by theory, the present study employed moderated mediation modeling using cross-sectional data from Taiwan, Malaysia, Hong Kong, and China to explore relationships between psychological distress, …