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Effects of Fascial Manipulative Treatment on Bone Tissue
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作者 Mauro D’Alessandro Christiane Heinisch Floriana Bonzini 《Open Journal of Orthopedics》 2023年第6期213-223,共11页
The experimental research, presented in this study, focuses on athletic tests with the purpose to highlight the elastic deformations of the bones of the lower limbs, intending to verify whether the manually treated an... The experimental research, presented in this study, focuses on athletic tests with the purpose to highlight the elastic deformations of the bones of the lower limbs, intending to verify whether the manually treated anatomical structure increases in elasticity, becoming able to accumulate more energy in the loading phase, to then release it in the final phase of the thrust. Introduction: Too often neglected, the bone tissue is capable of deforming. The deformation has a key role in the cushioning and dissipation of stress, a function that is hindered in the event of fascial tension, which will consequently fall on other structures used for the same purpose (Discs, menisci, cartilage, …). Structures that, in the event of increased mechanical stress, could undergo degeneration, inflammation, and injury. Materials and Method: Randomized double-blind selection of 38 people, 18 in the treatment group and 20 in the control group, men and women, aged between 16 and 35, who have been part, for at least one year, of a sports club, with a large space dedicated to jumping in its training program, have been divided into two groups: the treatment group, which was treated to increase the performance of the jump and the control group subjected to mild manual pressures, without any intention. Results: The treatment group had an increase in Standing Long Jump (SLJ) for 3.67% (p Conclusions: This study has shown that an osteopathic manipulative treatment, aimed at increasing jumping performance, can increase the performance of the SLJ. 展开更多
关键词 Standing long Jump FASCIA Bone Tissue PERIOSTEUM
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Ultimate Olympics Records in Athletics Using Extreme Value Theory
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作者 Fumio Maruyama 《Open Journal of Applied Sciences》 2022年第4期541-554,共14页
Extreme value theory provides methods to analyze the most extreme parts of data. We used the generalized extreme value (GEV) distribution to predict the ultimate 100 m, 200 m, 400 m, 4 × 100 m relay, and long jum... Extreme value theory provides methods to analyze the most extreme parts of data. We used the generalized extreme value (GEV) distribution to predict the ultimate 100 m, 200 m, 400 m, 4 × 100 m relay, and long jump records of male gold medalists at the Olympics. The diagnostic plots, which assessed the accuracy of the GEV model, were fitted to all event records, validating the model. The 100 m, 200 m, 400 m, 4 × 100 m, and long jump records had negative shape parameters and calculated upper limits of 9.58 s, 19.18 s, 42.97 s, 36.71 s, and 9.03 m, respectively. The calculated upper limit in the 100 m (9.58 s) was equal to the record of Usain Bolt (August 16, 2009). The 100 m and 200 m world records were close to the calculated upper limits, and achieving the calculated limit was difficult. The 400 m and 4 × 100 m relay world records were almost equal to the calculated upper limits and the 500-year return level estimate, and slight improvement was possible in both. At the Tokyo Olympics in August 2021, in the 100 m, 200 m, and 4 × 100 m, in one year the probability of occurrence for a record was about 1/30. In the 400 m and long jump, it was about 1/20. In the 100 m, 200 m, and 4 × 100 m relay, more difficult records show that a fierce battle has taken place. 展开更多
关键词 ATHLETICS 100 m 200 m 400 m 4 × 100 m Relay long Jump Extreme Value Theory GEV Model
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