Results 61 to 70 of about 6,022,561 (366)

Testing Consistency: Analyzing the Reliability of Two Lower Limb Isometric Force Measurements in Strength-Trained Athletes

Applied Sciences
This study aimed to examine the intra- and inter-session reliability of kinetic variables in the isometric mid-thigh pull (IMTP) and isometric belt squat test (IBSqT) in strength-trained individuals.
Francisco Giuliano, Marcos A. Soriano, Victor Pino-Mulero, Jaime González-García   +3 more
doaj   +1 more source

Strength training in soccer with a specific focus on highly trained players

Sports Medicine - Open, 2015
BackgroundData concerning the physical demands of soccer (e.g., activity pattern) suggest that a high level of performance requires well-developed neuromuscular function (NF).
J. Silva, G. Nassis, A. Rebelo
semanticscholar   +1 more source

Comparative study of adenosine 3′‐pyrophosphokinase domains of MuF polymorphic toxins

FEBS Open Bio, EarlyView.
With the ultimate goal of understanding the association of toxin‐immunity modules to temperate phages, we characterized toxins from three prophages and examined cross‐protection from immunity proteins. The toxins exhibit adenosine 3′‐pyrophosphokinase activity and are toxic in Escherichia coli.
Eloïse M. Paulet, Julia Bartoli, Atakan Kabtan, Chloé M. Piras, Audrey C. Tempier, Eric Cascales, Julie P. Viala   +6 more
wiley   +1 more source

The effects of different post-activation potentiation strategies on the performance of elite female track cyclists in position 1 of team sprint

Scientific Reports
The study aimed to optimise post-activation potentiation (PAP) strategies for Rider 1 in elite team sprints to improve performance over 250 m (opening lap), with a focus on female cyclists.
Tianhe Li, Yapu Liang
doaj   +1 more source

Effects of physical training combined with transcranial direct current stimulation on maximal strength and lower limb explosive strength in healthy adults

Frontiers in Sports and Active Living
ObjectiveThe purpose of this systematic review and meta-analysis was to investigates whether transcranial direct current stimulation applied during physical training increases muscle strength in comparison with sham tDCS combined with physical training ...
Jintong Liu, Chunlei Li, Junhui Fang, Haokai Xu, Xingyue Zhang, Fan Zhao   +5 more
doaj   +1 more source

Accurate Emotion Strength Assessment for Seen and Unseen Speech Based on Data-Driven Deep Learning [PDF]

arXiv, 2022
Emotion classification of speech and assessment of the emotion strength are required in applications such as emotional text-to-speech and voice conversion. The emotion attribute ranking function based on Support Vector Machine (SVM) was proposed to predict emotion strength for emotional speech corpus.
arxiv  

A Systematic Review and Meta-Analysis of Strength Training in Individuals With Multiple Sclerosis Or Parkinson Disease

Medicine, 2015
Strength training has, in recent years, been shown to be beneficial for people with Parkinson disease and multiple sclerosis. Consensus regarding its utility for these disorders nevertheless remains contentious among healthcare professionals.
T. M. Cruickshank, Alvaro Reyes, M. Ziman   +2 more
semanticscholar   +1 more source

Rotation of the hammer and performance in hammer throwing

Frontiers in Bioengineering and Biotechnology
ObjectiveThe purpose of this study was to determine the effects of hammer rotation on performance in hammer throwing.MethodsThe hammer’s velocity increment at different stages, the duration of rotations at different phases, and the horizontal azimuth ...
Jiaru Huang, Leonardo A. Peyré-Tartaruga, Leonardo A. Peyré-Tartaruga, Junlei Lin, Yu Shi, Wei Li   +5 more
doaj   +1 more source

Core strength training for patients with chronic low back pain

Journal of Physical Therapy Science, 2015
[Purpose] Through core strength training, patients with chronic low back pain can strengthen their deep trunk muscles. However, independent training remains challenging, despite the existence of numerous core strength training strategies.
Wen-Dien Chang, Hung-Yu Lin, Ping-Tung Lai   +2 more
semanticscholar   +1 more source

Enhanced dose prediction for head and neck cancer artificial intelligence‐driven radiotherapy based on transfer learning with limited training data

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose Training deep learning dose prediction models for the latest cutting‐edge radiotherapy techniques, such as AI‐based nodal radiotherapy (AINRT) and Daily Adaptive AI‐based nodal radiotherapy (DA‐AINRT), is challenging due to limited data.
Hui‐Ju Wang, Austen Maniscalco, David Sher, Mu‐Han Lin, Steve Jiang, Dan Nguyen   +5 more
wiley   +1 more source