Results 111 to 120 of about 817,870 (280)

Effect shooting position of accurate sports shooting of air rifle lying posicion [PDF]

, 2017
Title: Effect shooting position of accurate sports shooting of air rifle lying position. Objectives: The aim of this empirical - theoretical work is to find out what is the effect of shooting position lying down on shooting from an air rifle. Methods: In
Čalfová, Andrea
core  

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

Advanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray, Andrew R. Castillo, Manoj Kolel‐Veetil, Surya R. Kalidindi   +3 more
wiley   +1 more source

EEG-Based Machine Learning Classification of Shooting Conditions and Performance Levels During the Shooting Preparation Stage

Brain Sciences
Background: Shooting performance depends on environmental conditions and neural state during preparation. Few studies have applied machine learning (ML) to classify shooting conditions and performance levels using EEG.
Ting Shi, Yueping Peng, Xiuyan Hu, Xinyu Shi, Yunfa Fu, Anmin Gong   +5 more
doaj   +1 more source

A study on the modeling of shooting probability in basketball sports competition sport

Applied Mathematics and Nonlinear Sciences
Abstract In basketball sports competition sports, shooting percentage is an important indicator of basketball players. In this paper, the trajectory of basketball sports shooting is solved by mathematical modeling and simulation. In the first step, the hyperparameter estimation of the variance is obtained by using
openaire   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

Advanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source

Effects of upper extremity fatigue on shooting accuracy, kinematics, and muscle activation in basketball players

Kinesiologia Slovenica
Fatigue is a critical determinant of sports performance, often impairing athletic precision and efficiency. This study investigated the effects of upper extremity fatigue on shooting accuracy, kinematics, and muscle activity in adolescent basketball ...
Merve Nur Yasar, Murat Cilli, Dogus Bakici, Ayse Nur Ay Gul, Berkan Kalk , Fahri Safa Cinarli   +5 more
doaj   +1 more source

Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design

Advanced Science, EarlyView.
A large language model (LLM) based pipeline is developed to automatically extract a comprehensive and accurate multicomponent alloy database from literature corpus. The extracted dataset is integrated with sustainability indicators to identify potential alloys that outperform existing industrial benchmark materials in terms of both performance and ...
Aravindan Kamatchi Sundaram, Mohit Chakraborty, Sai Mani Kumar Devathi, B. Pabitramohan Prusty, Rohit Batra   +4 more
wiley   +1 more source

Automating Chemical Reasoning in High‐Throughput Phase Identification With a Probabilistic, LLM‐Guided Framework

Advanced Science, EarlyView.
Autonomous laboratories can now synthesize materials faster than experts can interpret the resulting diffraction data. A probabilistic framework combines refinement‐fit metrics with large language model‐derived chemical reasoning to rank competing phase interpretations and flag those unsuitable for autonomous use.
Olympia Dartsi, Lauren N. Walters, Amalie E. Trewartha, Steven B. Torrisi, Amanda Volk, Liam Joyce, Gerbrand Ceder, Anubhav Jain   +7 more
wiley   +1 more source

Effects of Cerebellar tACS With Gamma Band on Basketball Shooting Skills: A Single‐Blind, Randomized Controlled Trial in College Students With Basketball Experience

Brain and Behavior
Introduction Transcranial electrical stimulation (tES) is a widely used noninvasive brain stimulation method to improve motor performance. Transcranial alternating current stimulation (tACS), which modulates oscillatory brain activity, has been ...
Shota Miyaguchi, Yasuto Inukai, Miyu Muroi, Shunpei Yamamoto, Hideaki Onishi   +4 more
doaj   +1 more source

A Generative Neuro‐Symbolic AI for Protein Sequence Design

Advanced Science, EarlyView.
We introduce EffieDes, a neuro‐symbolic framework coupling deep learning‐based fitness landscape parameterization with exact automated reasoning. Unlike greedy sampling, EffieDes identifies sequences that globally optimize fitness while satisfying intricate design constraints.
Marianne Defresne, Delphine Dessaux, Samuel Buchet, Lucie Barthe, Liza Ammar‐Khodja, Bessam Azizi, Valentin Durante, Gianluca Cioci, Simon de Givry, Alain Roussel, Luis F. Garcia‐Alles, Thomas Schiex, Sophie Barbe   +12 more
wiley   +1 more source