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Abstract This study develops and analyzes a Caputo fractional-order SEIHRD model to investigate the transmission dynamics and control of Ebola virus disease. The model ensures positivity, boundedness, and invariance of f...

Abstract Cardiovascular disease (CVD) is one of the leading causes of death worldwide, early and accurate prediction is crucial for reducing both incidence and mortality rates. Aiming at the problems of insufficient feat...

Abstract This study aimed to explore the associations among personality traits, gender roles, and team cohesion in youth athletes using network analysis and regression modeling. A sample of 518 youth athletes aged 12–1...

Abstract Recognizing tactical formations is a critical task in professional football performance analytics. However, existing methods often fail to capture the dynamic and continuously evolving nature of modern tactical ...

Abstract Accurate prediction of invasive mechanical ventilation (IMV) requirement in patients with community-acquired pneumonia (CAP) is a key clinical challenge. Conventional static risk stratification scores have limit...

Abstract Background Early detection of metabolic dysfunction before diabetes onset remains a critical challenge in preventive medicine. Although glucose dynamics provide high-dimensional insights into metabolic states, i...