Results 201 to 210 of about 457,497 (309)
Why age categories in youth sport should be eliminated: Insights from performance development of youth female long jumpers. [PDF]
Rüeger E +4 more
europepmc +1 more source
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 +4 more
wiley +1 more source
Editorial: Psycho-physical stressors in youth sport performance. [PDF]
Bonavolontà V +2 more
europepmc +1 more source
A Machine Learning Model for Interpretable PECVD Deposition Rate Prediction
This study develops six machine learning models (k‐nearest neighbors, support vector regression, decision tree, random forest, CatBoost, and backpropagation neural network) to predict SiNx deposition rates in plasma‐enhanced chemical vapor deposition using hybrid production and simulation data.
Yuxuan Zhai +8 more
wiley +1 more source
Delivering project SCORE in competitive youth sport settings. [PDF]
Ferreira M +5 more
europepmc +1 more source
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 +3 more
wiley +1 more source
Associations Between Youth Sport Participation and Bone, Muscle, and Fat in Adulthood: Iowa Bone Development Study. [PDF]
Kwon S +5 more
europepmc +1 more source
KDLM: Lightweight Brain Tumor Segmentation via Knowledge Distillation
A lightweight student network is designed, which is based on multiscale and multilevel feature fusion and combined with the residual channel attention mechanism to achieve efficient feature extraction and fusion with very few parameters. A dual‐teacher collaborative knowledge distillation framework is proposed.
Baotian Li +4 more
wiley +1 more source
Nature's Medicine? The Associations of Organized Youth Sport, Unstructured Physical Activity, and Land-Use Recreation with Children's Mental Health, Emotional Control, and Social Well-Being. [PDF]
Stagnone N +3 more
europepmc +1 more source
Abstract This study develops and empirically estimates a structural framework to decompose the causal pathways of multilevel behavioral interventions targeting adolescent health behaviors. We apply this framework to the Kids SIPsmartER (KSS) program, a 6‐month, school‐based intervention evaluated through a clustered randomized controlled trial in rural
Naveen Abedin +5 more
wiley +1 more source

