关于近2届奥运会中国男篮攻守能力提升的研究

采用文献资料、录像观察、数理统计等研究方法,对近2届奥运会中国男篮进攻和防守的相关统计数据进行对比分析。结果表明:中国男篮在进攻和防守单项数据和整体排名上都有提高,抢夺篮板球能力提升,但外线攻击力、体能储备、有效防守和快攻仍是中国男篮有待提升的几个方面。     

普通高校乒乓球高水平运动队建设现状与发展对策研究

截止到2011年,我国普通高校乒乓球高水平运动队在建设规模、运动水平等方面已取得一定成就,但在其建设过程中仍存在很多问题。立足我国普通高校乒乓球高水平运动队建设现状,以北京邮电大学乒乓球高水平运动队建设为例,对普通高校乒乓球高水平运动队的组织机构、招生政策、学籍管理、训练管理、教练员队伍建设以及条件保障进行阐述,并对存在的问题进行分析,为促进普通高校乒乓球高水平运动队建设提供参考。     

第29届奥运会中国男篮防守技、战术分析

对比以往国际大赛,中国男篮的防守能力和防守质量在第29届奥运会上取得了一定的进步,但与世界对手相比依然存在较大差距,且这种差距是防守技战术体系的全方位差距,集中体现在防守技术、防守战术等多个方面。     

尿儿茶酚胺监控田径运动员训练负荷适应性的探讨

在冬训期间,对上海田径队4名400米健将级运动员于每周一晨、大运动量训练后及第二天晨收集尿样,进行尿儿茶酚胺的检测。结论:(1)对于400米田径运动员,尿儿茶酚胺是一个较好的训练负荷适应性监控指标;(2)赛前肾上腺素、去甲肾上腺素应基本恢复到赛前训练初的基础水平,而多巴胺含量应有所提高,这有助于比赛中竞技水平的发挥。(3)在用尿儿茶酚胺评价训练负荷适应性时,应注意个体化分析。     

大学生体质健康状况跟踪监测与分析——以湖北医药学院2008级本科生为例

运用测验法、数理统计法对湖北医药学院2008级的大学生体质健康水平进行三年跟踪监测,分析发现,学生体质健康水平总体良好,体质健康状况改善显著,男生体质状况优于女生。学生总体身体形态偏瘦,身体机能改善明显,身体素质具有不同程度的提高。指出高校体育课及课外体育活动对于增进学生体质健康具有重要作用,并提出深化体育课程改革的相关建议。     

地方高校应用型师资队伍建设策略研究

地方高校多把人才培养目标指向应用型本科人才的培养,这种人才培养模式在很大程度上取决于地方高校师资的整体素质,要求建设一支素质优良、结构合理、专兼结合、特色鲜明、相对稳定的"应用型"师资队伍,但目前地方高校应用型教师的培养存在一定的误区和困境。对此,应通过加快基层学术组织改革;实行分类管理;加大应用型高层次人才的引进和培养;加强教师职业素质培训;建立应用型兼职教师资源库;加大应用型专业教学团队和创新型科研团队建设等手段来促进地方高校应用型师资队伍的建设。     

企业家与团队企业家的含义探析

企业家本身具有动态特性,是伴随人类社会的进步而不断丰富和发展的,要客观全面的认识企业家需要发展的眼光.本文在回顾了企业家理论中主要经典概念的基础上,拓展了企业家的含义,并深入探讨了企业家的基本特征和核心职能,认为创新和机会认知与利用是企业家的根本特征,而且,由于创新的日益复杂和创新强度的逐渐增加,个人企业家的能力和精力难以满足企业现代创新的要求,从而出现了团队企业家.分析了团队企业家的含义和特征,为认识企业家的内涵与本质以及企业家的演进提供了一条思路.     

基于物联网、J2EE技术的农业大棚预警监测系统设计

本文基于物联网和J2EE技术,设计了一套农业温室大棚预警监测系统,旨在通过对温室大棚内环境因子数据的采集、智能分析、处理实现对大棚的智能监测、自动预警功能,使温室大棚高效高质产出。     

Dynamics of the game in soccer: Detection of T-patterns

Abstract

Traditional approaches to the quantification of team sports have proved to be limited in their ability to identify complex structural regularities that, despite being unobservable, nonetheless underlie the development of the sporting contest between opposing teams. This paper describes a method for detecting the dynamics of play in professional soccer through the analysis of temporal patterns (T-patterns). The observation instrument used was SOF-5, which is especially designed for studying the dynamics of the game in soccer. The recording consisted of within-session monitoring using the MATCH VISION STUDIO 3.0 software, while the THEME software was used to detect and analyse T-patterns. These T-patterns revealed regularities in the playing style of the observed team, FC Barcelona. The structures detected included a ball possession pattern, whereby the ball was first kept in the central zone before being played forward, through several moves, into the zones closest to the opposing team's goal in order to disrupt the latter's equilibrium. The results obtained show that it is possible to identify stable temporal structures that provide information about concurrent interaction contexts with respect to lateral position and zone. As such, the proposed methodology appears to be useful in detecting complex structures within the game of soccer, structures which may help coaches to design attacking and defensive strategies.     

Home advantage in Greek football

Abstract

Home advantage as it relates to team performance at football was examined in Superleague Greece using nine seasons of game-by-game performance data, a total of 2160 matches. After adjusting for team ability and annual fluctuations in home advantage, there were significant differences between teams. Previous findings regarding the role of territorial protection were strengthened by the fact that home advantage was above average for the team from Xanthi (P =0.015), while lower for teams from the capital city Athens (P =0.008). There were differences between home and away teams in the incidence of most of the 13 within-game match variables, but associated effect sizes were only moderate. In contrast, outcome ratios derived from these variables, and measuring shot success, had negligible effect sizes. This supported a previous finding that home and away teams differed in the incidence of on-the-ball behaviours, but not in their outcomes. By far the most important predictor of home advantage, as measured by goal difference, was the difference between home and away teams in terms of kicked shots from inside the penalty area. Other types of shots had little effect on the final score. The absence of a running track between spectators and the playing field was also a significant predictor of goal difference, worth an average of 0.102 goals per game to the home team. Travel distance did not affect home advantage.