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H. I. Ceylan

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Open access Aug 2026

The Influence of Time of Day on Critical Swimming Speed in Chronotype-Screened (Neither-Type) Well-Trained Male Swimmers

Background: Critical swimming speed (CSS) is widely used to prescribe training and monitor endurance-related change, yet it is unclear whether its estimate varies with time of day when chronotype and relevant pre-trial conditions are considered. Purpose: To compare CSS at 09:00 h and 17:00 h in well-trained male swimme...

Gökhan Tuna, Cem Kurt, Erkan Günay et al. · 0 citations
Open access Sep 2026

When the Algorithm Becomes the Dietitian: Large Language Model Hallucinations, Algorithmic Food Environments, and the Erosion of Nutritional Autonomy

Large language models (LLMs) can answer dietary questions, but their use as substitutes for registered dietitians remains insufficiently quantified. Evaluations have identified inaccurate nutrient targets, incomplete clinical advice, and insufficient personalization, alongside useful performance on some general nutriti...

Ismail Dergaa, R. Ben Othman, H. Ghouili et al. · 0 citations
Open access Sep 2026

Knowledge, Practice, and Socio‐Behavioral Determinants of Physical Activity Among Tunisian Medical Students: A Cross‐Sectional Study

ABSTRACT Background and Aims Physical inactivity has become a critical public health issue worldwide, contributing to numerous chronic diseases. As future healthcare providers, medical students' understanding and practice of physical activity are essential both for their personal health and their professional capacity...

R. Kammoun, W. Feki, R. Khemakhem et al. · 0 citations
Open access Sep 2026

School-based predictive contributors to six-minute walk test performance across pubertal stages: an explainable machine learning study in Tunisian adolescents

Background The six-minute walk test (6MWT) provides a practical measure of submaximal functional exercise capacity in adolescents and reflects the integrated response of cardiovascular, respiratory, and musculoskeletal systems during walking. Traditional age-based linear models inadequately capture nonlinear, maturatio...

H. Ghouili, Amel Dridi, N. Ouerghi et al. · 0 citations
Review Open access Aug 2026

Effects of Exercise Interventions on Peripheral Brain-Derived Neurotrophic Factor: An Umbrella Meta-Analysis Across Clinical and Healthy Populations

Circulating BDNF does not directly establish central BDNF engagement or enhanced neuroplasticity, and current review-level evidence does not establish a universal response, clinical benefit, superior modality, or optimal dose.

Mesut Süleymanoğulları, Cemre Didem Eyipınar, R. Muntean et al. · 0 citations
Review Open access 2026

Generative Artificial Intelligence and Large Language Models in Didactics of Sports Sciences and Physical Education: A Comprehensive Review of Pedagogical Applications, Teaching Innovations, and Research Implications

Gen AI and LLMs represent transformative tools for sports sciences and PE didactics when implemented within robust pedagogical frameworks that preserve the essential embodied, social, and affective dimensions of movement education.

Sami Boukari, Imed Chokri, Imen Samet et al. · 0 citations
Review Open access Jul 2026

Generative artificial intelligence and large language models in sports medicine: a scoping review of applications, accuracy, and ethical implications

GenAI shows promise as a supervised decision-support tool in sports medicine, but current evidence does not support unsupervised clinical use and key challenges include hallucination risks, a lack of sport-specific validation datasets, and insufficient ethical and governance frameworks.

Ismail Dergaa, Mohamed Amine Dergaa, Mortadha Razzak et al. · 3 citations

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