Background: This study presents an intelligent table tennis e-training system based on a neural network (NN) model that recognizes data from sensors built into an armband device, with the component values (performances scores) estimated through principal component analysis (PCA).
Methods: Six expert male table tennis players on the National Youth Team (mean age 17.8 ± 1.
Context: Warm-up exercise is an essential preexercise routine for athletes to optimize performance. However, the benefits of combined warm-up protocols remain unclear.
Objective: This comparative study investigated the acute effects of dynamic stretching (DS) followed by static stretching (SS), self-myofascial release using a foam rolling (FR) device, or vibration foam rolling (VFR) as a warm-up exercise to improve flexibility, power, agility, and specific skills in elite table tennis players.
Background & Problem: Fully implementing the barcode medication administration system has been shown to help improve medication safety. We have promoted the barcode medication administration system in our hospital since May of 2014. However, the rate of implementation reached only 32% initially.
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