Publications by authors named "YunHang Lu"

Background: Medical training therapy (MTT) is an advanced, individualized rehabilitation approach that integrates multiple methods to improve physical function. It is widely applied to rehabilitate sports injuries. This randomized study evaluated MTT's effects on physical injury rehabilitation, mental function, and athletic performance in elite rock climbers.

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Introduction: This study aimed to evaluate the effects of varied resistance training modalities on physical fitness components, body composition, maximal strength assessed by one-repetition maximum (1RM), isokinetic muscle functions of the shoulder and knee joints, and biomechanical properties of core muscles.

Methods: Forty participants were randomly assigned to four groups: control group (CG, n = 10), compound set training group (CSG, n = 10), pyramid set training group (PSG, n = 10), and superset training group (SSG, n = 10). Excluding the CG, the other three groups underwent an 8-week resistance training program, three sessions per week, at 60%-80% of 1RM intensity for 60-90 min per session.

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This study aimed to examine the effects of supervised fitness training under the guidance of a personal trainer and those of competitive fitness training with others and reveal the effects of specific differences between them in a detailed manner. The study's participants consisted of 66 healthy male adults (age: 29.2 ± 5.

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This study investigated the neurophysiological differences underpinning motor and cognitive skills by measuring the brain activity via functional magnetic resonance imaging. Twenty-five healthy adults (11 women, 25.8 ± 3.

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Sexual selection has become an important research topic in behavioral ecology, human behavior, and evolution. The study of mate selection preferences across cultures and countries has gradually received increasing attention. The present study was aimed to reveal the differences of long-term and short-term mate selection preferences between young people in Chinese and South Korean.

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Intelligent sports equipment and software have emerged in the field of sports as a result of the advancement of information technology, allowing professional athletes to collect and visually display the movement and physical signs of the human body to aid in the planning of sports strategies. Intuitive data, on the other hand, cannot assist ordinary people who lack professional knowledge in exercising correctly. As a result, in the field of intelligent sports and health, effective use of collected exercise and physical sign data to analyze the user's personal physical condition and generate reasonable exercise suggestions has emerged as a research direction.

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