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The Effects of a Complex Training Protocol on Vertical Jump Performance in Male High School Basketball Players
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作者 Dan Roden Rick Lambson Mark DeBeliso 《Journal of Sports Science》 2014年第1期21-26,共6页
The purpose of this study was to investigate the effects of CT (complex training) on VJ (vertical jump). It was hypothesized that VJ height would be enhanced through CT and even greater increases would occur as a ... The purpose of this study was to investigate the effects of CT (complex training) on VJ (vertical jump). It was hypothesized that VJ height would be enhanced through CT and even greater increases would occur as a result of higher intensity resistance exercise. Twenty male high school basketball players were divided into two training groups: a H1 (high intensity), low repetition group and a medium intensity, HR (high repetition) group. Each training group trained twice per week for six weeks. Training protocols involved three sets of 8-10 squat repetitions (80%-85% 1RM (repetition maximum)) for the HI group followed by ten countermovement jumps and thre.e sets of 12-15 squat repetitions (60%-70% 1RM) for the HR group followed by ten countermovement jumps. A three minute rest period was utilized between each set. Participants were tested at weeks 1, 3, and 6. The results of this study revealed that there was not a significant difference between the two CT protocols with respect to VJ (p = 0.077). At week 6 both groups increased VJ significantly; HI group (4.0 ±1.8 cm, p 〈 0.01) and the HR group (2.7 ± 1.6 cm, p 〈 0.01). Within the parameters of this study CT with either HI or HR protocols are effective at improving VJ. 展开更多
关键词 complex training postactivation potentiation vertical jump resistance training plyometric training.
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Transfer-learning multi-input multi-output equalizer for mode-division multiplexing systems
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作者 Tianfeng Zhao Feng Wen +3 位作者 Mingming Tan Baojian Wu Bo Xu Kun Qiu 《Chinese Optics Letters》 SCIE EI CAS CSCD 2024年第7期12-18,共7页
We propose a transfer-learning multi-input multi-output(TL-MIMO)scheme to significantly reduce the required training complexity for converging the equalizers in mode-division multiplexing(MDM)systems.Based on a built ... We propose a transfer-learning multi-input multi-output(TL-MIMO)scheme to significantly reduce the required training complexity for converging the equalizers in mode-division multiplexing(MDM)systems.Based on a built three-mode(LP01,LP11a,and LP11b)multiplexed experimental system,we thoughtfully investigate the TL-MIMO performances on the three-typed data,collecting from different sampling times,launching optical powers,and inputting optical signal-to-noise ratios(OSNRs).A dramatic reduction of approximately 40%–83.33%in the required training complexity is achieved in all three scenarios.Furthermore,the good stability of TL-MIMO in both the launched powers and OSNR test bands has also been proved. 展开更多
关键词 mode division multiplexing multi-input multi-output transfer learning training complexity
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