Results 181 to 190 of about 30,674 (262)

Identifying links between athletic identity and risk factors related to youth sport participation. [PDF]

Front Psychol
Choudhury MM, Erdman AL, Stapleton E, Gale E, Ulman S.   +4 more
europepmc   +1 more source

Enhancing Elderly Health Through Physical Activities: Insights From a Global Bibliometric Review, 1900–2023

AGING MEDICINE, EarlyView.
Bibliometric analysis reveals rising global research on physical activity and elderly health, dominated by developed nations. Key hotspots include healthy aging, physical activity's mental health benefits, and VR exercise interventions. Promoting physical activity is vital for healthy aging, requiring greater technology integration and research from ...
Hongman Wang, Bo Xie, Can Liu, Yifan Song   +3 more
wiley   +1 more source

Health Problems in Danish Adolescent Handball Players: Findings From the One-Season Health and Performance Promotion in Youth Sport (HAPPY) Study of 945 Players Aged 11-17 Years. [PDF]

Scand J Med Sci Sports
Larsen AC, Roos EM, Möller S, Juhl C, Storm LK, Kongsted A, Møller M.   +6 more
europepmc   +1 more source

How Does Cultural and Colonial Heritage Affect Optimal Branding Strategies? Evidence From the Rice Sector in Senegal

Agribusiness, EarlyView.
ABSTRACT Africa's cultural and colonial heritage has profoundly segmented rice markets. Whereas in ancient centers of rice domestication, consumers maintained preferences for local rice consistent with their cultural heritage, preferences have shifted toward imported Asian rice in coastal areas around seaports, due to prior exposure to colonial import ...
Kofi Britwum, Matty Demont
wiley   +1 more source

Determinants of Knowledge and Usage of Generative Artificial Intelligence in Agricultural Extension: Evidence From Tennessee Extension Personnel

Agribusiness, EarlyView.
ABSTRACT This paper examines the determinants of generative AI (GenAI) knowledge and usage among agricultural extension professionals. Drawing on survey data from agricultural extension personnel in Tennessee, we employ regression analyses and latent Dirichlet allocation (LDA) for topic modeling of open‐ended responses to study the knowledge and usage ...
Abdelaziz Lawani, Jason de Koff, James Muriuki, Anna‐Liisa Ihuhwa   +3 more
wiley   +1 more source

Perimeter‐intensified inverse Zr‐Co oxygen carrier for biomass chemical‐looping gasification with high CO selectivity

AIChE Journal, EarlyView.
Abstract Chemical‐looping gasification (CLG) offers a promising route for renewable biomass valorization, yet conventional oxygen carrier regeneration with O₂/H₂O is energy‐intensive and often produces low‐quality syngas. Here, we develop an inverse ZrO2/Co3O4 oxygen carrier that enables selective biochar oxidation and efficient lattice‐oxygen transfer
Junling Gao, Haifeng Qi, Kun Lei, Tingwei Wang, Yijie Yang, Hongwei Li, Rongjun Zhang, Yu Wu, Canran Huang, Zhao Sun   +9 more
wiley   +1 more source

A National Survey on the Relationship of Youth Sport Specialization Behaviors to Self-Reported Anxiety and Depression in Youth Softball Players. [PDF]

Sports Health
Zeller AM, Lear A, Post E, McNulty S, Bentley B.   +4 more
europepmc   +1 more source

Harnessing Large Language Models to Advance Microbiome Research: From Sequence Analysis to Clinical Applications

Advanced Intelligent Discovery, EarlyView.
Large language models are transforming microbiome research by enabling advanced sequence profiling, functional prediction, and association mining across complex datasets. They automate microbial classification and disease‐state recognition, improving cross‐study integration and clinical diagnostics.
Jieqi Xing, He Wang, Yangyang Sun, Xiaoquan Su, Shunyao Wu   +4 more
wiley   +1 more source

The Safe Sport Allies bystander training: developing a multi-layered program for youth sport participants and their coaches to prevent harassment and abuse in local sport clubs. [PDF]

Front Psychol
Adriaens K, Verhelle H, Peters GY, Haerens L, Vertommen T.   +4 more
europepmc   +1 more source

Adaptive Autonomy in Microrobot Motion Control via Deep Reinforcement Learning and Path Planning Synergy

Advanced Intelligent Systems, EarlyView.
This study introduces a data‐driven framework that combines deep reinforcement learning with classical path planning to achieve adaptive microrobot navigation. By training a surrogate neural network to emulate microrobot dynamics, the approach improves learning efficiency, reduces training time, and enables robust real‐time obstacle avoidance in ...
Amar Salehi, Bairong Zhu, Haoyu Liu, Tingting Yu   +3 more
wiley   +1 more source