Results 31 to 40 of about 6,022,561 (366)
Strength-Adaptive Adversarial Training [PDF]
Adversarial training (AT) is proved to reliably improve network's robustness against adversarial data. However, current AT with a pre-specified perturbation budget has limitations in learning a robust network. Firstly, applying a pre-specified perturbation budget on networks of various model capacities will yield divergent degree of robustness ...
arxiv
Effects of Strength Training on Squat and Sprint Performance in Soccer Players
Styles, WJ, Matthews, MJ, and Comfort, P. Effects of strength training on squat and sprint performance in soccer players. J Strength Cond Res 30(6): 1534–1539, 2016—Researchers have demonstrated that increases in strength result in increases in athletic ...
W. J. Styles+2 more
semanticscholar +1 more source
Exercise-Induced Circulating microRNAs: Potential Key Factors in the Control of Breast Cancer
Losses in skeletal muscle mass, strength, and metabolic function are harmful in the pathophysiology of serious diseases, including breast cancer. Physical exercise training is an effective non-pharmacological strategy to improve health and quality of ...
Guilherme Defante Telles+8 more
doaj +1 more source
The Effect of Strength Training on Performance Indicators in Distance Runners
Beattie, K, Carson, BP, Lyons, M, Rossiter, A, and Kenny, IC. The effect of strength training on performance indicators in distance runners. J Strength Cond Res 31(1): 9–23, 2017—Running economy (RE) and velocity at maximal oxygen uptake (VV[Combining ...
Kris Beattie+4 more
semanticscholar +1 more source
A growing body of research examines the effect of aerobic exercise on pulse wave velocity (PWV) in middle-aged and elderly people, while findings of available studies were conflicting.
Gen Li+7 more
doaj +1 more source
Strength-dependent Transition of Graphite Under Shock Condition Resolved by First Principles [PDF]
The shock strength dependent formation of diamond represents one of the most intriguing questions in graphite research. Using ab initio DFT-trained carbon GNN model, we observe a strength-dependent graphite transition under shock. The poor sliding caused by scarce sliding time under high-strength shock forms hexagonal diamond with an orientation of ...
arxiv
A MULTI-BODY MODEL OF A SPRINGBOARD IN GYMNASTICS
In order to develop and optimize movements in gymnastics vault, knowledge of take-off velocity and angular momentum is important. Due to the short times of contact on the springboard, high-frequency kinemetric methods are very time-consuming for the ...
Thomas Lehmann+6 more
doaj +1 more source
Diversity is Strength: Mastering Football Full Game with Interactive Reinforcement Learning of Multiple AIs [PDF]
Training AI with strong and rich strategies in multi-agent environments remains an important research topic in Deep Reinforcement Learning (DRL). The AI's strength is closely related to its diversity of strategies, and this relationship can guide us to train AI with both strong and rich strategies. To prove this point, we propose Diversity is Strength (
arxiv
Corticospinal responses following strength training: a systematic review and meta‐analysis
Strength training results in changes in skeletal muscle; however, changes in the central nervous system also occur. Over the last 15 years, non‐invasive brain stimulation techniques, such as transcranial magnetic stimulation, have been used to study the ...
D. Kidgell+4 more
semanticscholar +1 more source
The study presents the mechanical and in situ sensing performance of digital light processing‐enabled 2D lattice nanocomposites under monotonic tensile and repeated cyclic loading, and provides guidelines for the design of architectures suitable for strain sensors and smart lightweight structures.
Omar Waqas Saadi+3 more
wiley +1 more source