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1.
ABSTRACT

This study aimed to examine the effects of two jump squat (JS) training programs involving different loading ranges in under-20 soccer players during a preseason period. Twenty-three elite young soccer players performed sprint speed (at 5-, 10-, and 20-m), change-of-direction (COD) speed, JS peak-power (PP), and countermovement jump (CMJ) tests pre and post four weeks of training. Athletes were pair-matched in two groups according to their optimum power loads (OPL) as follows: lower than OPL (LOPL; athletes who trained at a load 20% lower than the OPL) and higher than OPL (HOPL; athletes who trained at a load 20% higher than the OPL). Magnitude-based inferences were used to compare pre- and post-training measures. Meaningful increases in the PP JS were observed for both groups. Likely and possible improvements were observed in the 5- and 10-m sprint velocity in the LOPL group. Meanwhile, possible and likely improvements were observed in the CMJ, 5- and 10-m sprint velocity, and COD speed in the HOPL group. Overall, both training schemes induced positive changes in athletic performance. Soccer coaches and sport scientists can implement the JS OPL-based training schemes presented here, either separately or combined, to improve the physical performance of youth soccer players.  相似文献   
2.
IntroductionIt is unclear what is the best strategy for applying patient-based real-time quality control (PBRTQC) algorithm in the presence of multiple instruments. This simulation study compared the error detection capability of applying PBRTQC algorithms for instruments individually and in combination using serum sodium as an example.Materials and methodsFour sets of random serum sodium measurements were generated with differing means and standard deviations to represent four simulated instruments. Moving median with winsorization was selected as the PBRTQC algorithm. The PBRTQC parameters (block size and control limits) were optimized and applied to the four simulated laboratory data sets individually and in combination.ResultsWhen the PBRTQC algorithm were individually optimized and applied to the data of the individual simulated instruments, it was able to detect bias several folds faster than when they were combined. Similarly, the individually applied algorithms had perfect error detection rates across different magnitudes of bias, whereas the error detection rates of the algorithm applied on the combined data missed smaller biases. The performance of the individually applied PBRTQC algorithm performed more consistently among the simulated instruments compared to when the data were combined.DiscussionWhile combining data from different instruments can increase the data stream and hence, increase the speed of error detection, it may widen the control limits and compromising the probability of error detection. The presence of multiple instruments in the data stream may dilute the effect of the error when it only affects a selected instrument.  相似文献   
3.
The biomechanical profile of high-level endurance runners may represent a useful model that could be used for developing training programmes designed to improve running style. This study, therefore, sought to compare the biomechanical characteristics of high-performance and recreational runners. Kinematic and kinetic measurements were taken during overground running from a cohort of 14 high-performance (8 male) and 14 recreational (8 male) runners, at four speeds ranging from 3.3 to 5.6?m?s?1. Two-way ANOVA analysis was then used to explore group and speed effects and principal component analysis used to explore the interdependence of the tested variables. The data showed the high-performance runners to have a gait style characterised by an increased vertical velocity of the centre of mass and a flight time that was 11% longer than the recreational group. The high-performance group were also observed to adopt a forefoot strike pattern, to contact the ground with their foot closer to their body and to have a larger ankle moment. Importantly, although observed group differences were mostly independent of speed, the tested variables showed a high degree of interdependence suggesting an underlying unitary phenomenon. This is the first study to compare high-performance and recreational runners across a full range of kinematic and kinetic variables. The results suggest that high-performance runners maintain stride length with a prolonged aerial phase, rather than by landing with a more extended knee. These findings motivate future intervention studies that should investigate whether recreational runners could benefit from instruction to decrease shank inclination at foot contact.  相似文献   
4.
为提高集装箱吞吐量的预测精度,提出基于因子分析和曲线拟合的集装箱吞吐量预测模型。以上海港为例,通过因子分析,分析影响集装箱吞吐量的主要因素,筛选出主因子,得到不同年份的综合经济发展值;再运用曲线拟合方法,建立以综合经济发展值为自变量,以集装箱吞吐量为因变量的三次曲线模型;运用自回归积分移动平均(autoregressive integrated moving average,ARIMA)模型预测2016—2020年的综合经济发展值,进而求得2016—2020年上海港集装箱吞吐量预测值。结果表明:该模型的拟合效果和预测精度均较高,可以运用到集装箱吞吐量预测中。给出上海港在国内经济新常态下转型升级的建议。  相似文献   
5.
高速数控车削中心主轴单元的可靠性研究   总被引:1,自引:0,他引:1  
分析讨论了超高速数控车中心主轴单元性能的可靠性要求,对高速数控车削中心的主轴单元典型结构-电主轴的设计进行了详细记述,为车削中心提供了必要的依据和设计方法。  相似文献   
6.
张璐 《教育技术导刊》2021,20(1):245-248
移动设备的普及为基于位置的服务应用带来新的发展机遇,但在使用LBS时造成的轨迹隐私泄露问题成为LBS普及的隐患。轨迹泛化法是一种轨迹隐私保护技术,在保护轨迹隐私的同时还可提高服务质量。基于组的轨迹隐私保护技术特点,对不考虑移动趋势的轨迹泛化法进行分析,总结基于移动趋势的轨迹隐私保护方法并对未来研究方向进行展望。  相似文献   
7.
针对大学各学科培养目标存在差异,以及学生入学时计算机基础不平衡等教育教学现状,依托大规模开放在线课程(MOOC)平台,以计算机文化基础课程为例,从开课前、授课中、结课后3个阶段分别论述开设课程、组织授课和追踪反馈等多个教学环节的实践过程,并形成闭合环路,探索面向应用能力培养的互动教学模式,同时探讨教学中存在的问题及解决办法。抽组测试发现,混合教学的及格率达到98%,相比传统教学提高了18%,约33%的学生自主选择混合式学习,表明MOOC平台的混合教学有利于培养学生的计算思维,提高其计算机应用能力,最后分析MOOC平台采用大数据挖掘技术的重要性和可行性。  相似文献   
8.
变频调速技术在袜机上的应用   总被引:1,自引:0,他引:1  
刘浏 《中国科技信息》2007,(5):85-85,87
本文主要介绍了变频器在袜机应用中系统的构成、控制要点和重要性。  相似文献   
9.
汽轮机调节系统工作不稳定分析   总被引:1,自引:0,他引:1  
史恺 《黑龙江科技信息》2007,(3X):38-38,143
调节系统的不稳定影响汽轮机的生产稳定性,同时给机组的安全运行也带来了不利因素。针对汽轮机调节系统工作不稳定的情况,对其进行了理论的分析,总结归纳了影响汽轮机调节系统工作稳定的各种原因,及其处理措施。  相似文献   
10.
针对《公路工程技术标准(》JTG B01-2003)在实际应用中存在的问题,分析了路线设计主要技术指标的缺陷,并提出了处理措施.为进一步选择合理的公路路线设计方案提供了依据.  相似文献   
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