Investigating the optimal psycholog- ical state for peak performance in Australian elite athletes. J. Appl. Sport Psychol. 26 (3), 318-333.Anderson, R., Hanrahan, S., & Mallett, C. (2014). Investigating the optimal psychological state for peak performance in Australian elite athletes. ...
PEAK PERFORMANCE REQUIRES OPTIMAL SLEEP AND ALERTNESS 来自 ResearchGate 喜欢 0 阅读量: 20 作者: MR Rosekind 摘要: President and Chief Scientist--Alertness Solutions Coach, I had so much to do to prepare for today's competition that I had to stay up all night to be ready. Coach, to ...
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The dynamic stall delay for pitching airfoils in clean inflow conditions is largely independent of the Reynolds number55, and appears to be more strongly affected by the free-stream turbulence56. Increased levels of turbulence intensity can improve the performance of small-scale vertical-axis wind ...
These cells could contain information of both flankers (as well as the target), which could be fed back to low levels (e.g. V1) to integrate flexibly with finer representations of the target. Within this framework the fine-grain target information is not lost, but combined with broad ...
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The best size and location of the DG unit were established for the linear load variations from 50 to 150% of the base load in steps of 1%, and DG sizes were evaluated as a function of load levels through CFT. In [24], the optimal RDER allocation problem was considered for the IEEE ...
theinfrastructure to effectively manage the heavy load on the websites / portals during peakhoursand toensure a high degree of availability and performance... P Visit 被引量: 3发表: 2015年 Energy Storage Planning and Operations for Power Systems Energy storage is essential to future power systems...
In systems with multiple or spatially varying sources of substrate there will in general not be a single global transition but rather a sequence of local transitions at different positions s at different ET levels. We therefore investigated a system with two unequal sources of \({{{\mathcal{S...
It is also observable in the nearly universal ‘levels’ feature in video games, in which the player is encouraged, or even forced, to a higher level of difficulty once a performance criterion has been achieved. Similarly in machine learning, steadily increasing the difficulty of training has ...