独生子女大学生运动项目特点研究

以独生子女大学生运动项目特点为研究对象 ,通过对一～四年级 2 5 38名在校独生子女大学生进行了问卷调查和个别访问 ,并对其调查结果进行数据统计分析研究 ,提出了改进目前普通高校传统体育课教学方法 ,及早调整课程设置 ,按运动项目特点安排课程内容 ,为培养独生子女大学生终生参加体育锻炼打下良好基础     

少年儿童不同时期的生理特征及其拳击运动的身体训练

论述了少年儿童拳击运动身体训练的可行性及重要性，分析了少年儿童不同时期的生理特征及与之相适应的拳击运动身体训练方法手段的选择，可为少年儿童拳击运动的科学化训练提供理论依据。     

中国体育管理组织系统的现状及改革构想

通过对中国体育管理组织系统的现状进行分析,剖析了当前系统运行中存在的主要问题。依据市场经济的规律,从管理学角度阐述中国体育管理组织系统的改革方向,并提出了改革政府体育管理机构、加强建设社会体育组织、建设实体化体育单项协会、建立各类体育俱乐部的改革构想。     

篮球运动技术发展模式的研究

论述了推动篮球技术模式的因素——攻守对抗矛盾、技战术矛盾、规则与技战术矛盾、训练学因素、现代科学技术、实践与认识等几个部分,用系统论的观点探讨了推动篮球运动的技术模式和篮球运动技术的发展模式,以指导篮球教学与训练。     

高等学校组建体育俱乐部的可行性分析与实施办法

为了顺应时代,适应全民健身的要求,转交人们对传统体充教学的思想观念,应在高等学校逐步组建体育俱乐部,以给高等学校体育工作注入新的活力,使体育活动更加丰富多彩,从而对高等学校群体活动起到积极的推动作用。     

铁磁性金属簿膜磁特性的研究

讨论了铁磁性金属薄膜中的各向弄性磁阻效应。通过对晶体结构分析和实验验证,提出了一种假设:在外磁场作用下,产生了原子对的方向有序化,导致感生磁各向异性,并使晶体织构消失。根据对5种样品的实测数据,讨论了薄膜的动态磁化过程。     

Sport and disability: Pistorius does not fit with the categories

Oscar Pistorius presents a major issue to sports organisations, as exposed in the media. First and foremost, media wrongly perceive him as the first disabled athlete to participate in the Olympic Games. Second, they openly question the legitimacy of his participation mainly based on the inequity introduced by his prosthetic legs. Content analysis, in English and French, of written press, International Association of Athletics Federations (IAAF) and Court of Arbitration for Sport (CAS) texts, from 2004 to 2012, confirms that Pistorius presents a new puzzle to sports organizations. This is partly because they are not able to determine whether his performances are a result of his body strength or if they are biased by his artificial limbs. Furthermore, when he is competing against able-bodied athletes, sports organizsations put him in a ‘monstrous’ position. Similarly, while categorising him as an ‘athlete’ they do not grant him the characteristic feature of this category: certified comparability of performances to ultimately establish ranks.     

On the Estimation of the Density of a Directional Data Stream

Many directional data such as wind directions can be collected extremely easily so that experiments typically yield a huge number of data points that are sequentially collected. To deal with such big data, the traditional nonparametric techniques rapidly require a lot of time to be computed and therefore become useless in practice if real time or online forecasts are expected. In this paper, we propose a recursive kernel density estimator for directional data which (i) can be updated extremely easily when a new set of observations is available and (ii) keeps asymptotically the nice features of the traditional kernel density estimator. Our methodology is based on Robbins–Monro stochastic approximations ideas. We show that our estimator outperforms the traditional techniques in terms of computational time while being extremely competitive in terms of efficiency with respect to its competitors in the sequential context considered here. We obtain expressions for its asymptotic bias and variance together with an almost sure convergence rate and an asymptotic normality result. Our technique is illustrated on a wind dataset collected in Spain. A Monte‐Carlo study confirms the nice properties of our recursive estimator with respect to its non‐recursive counterpart.     

Small‐sphere distributions for directional data with application to medical imaging

We propose novel parametric concentric multi‐unimodal small‐subsphere families of densities for p ? 1 ≥ 2‐dimensional spherical data. Their parameters describe a common axis for K small hypersubspheres, an array of K directional modes, one mode for each subsphere, and K pairs of concentrations parameters, each pair governing horizontal (within the subsphere) and vertical (orthogonal to the subsphere) concentrations. We introduce two kinds of distributions. In its one‐subsphere version, the first kind coincides with a special case of the Fisher–Bingham distribution, and the second kind is a novel adaption that models independent horizontal and vertical variations. In its multisubsphere version, the second kind allows for a correlation of horizontal variation over different subspheres. In medical imaging, the situation of p ? 1 = 2 occurs precisely in modeling the variation of a skeletally represented organ shape due to rotation, twisting, and bending. For both kinds, we provide new computationally feasible algorithms for simulation and estimation and propose several tests. To the best knowledge of the authors, our proposed models are the first to treat the variation of directional data along several concentric small hypersubspheres, concentrated near modes on each subsphere, let alone horizontal dependence. Using several simulations, we show that our methods are more powerful than a recent nonparametric method and ad hoc methods. Using data from medical imaging, we demonstrate the advantage of our method and infer on the dominating axis of rotation of the human knee joint at different walking phases.     

文化认知中定向思维模式的建构与解构——以中国少数民族文化范式为研究视阈

定向思维模式的建构与解构实际上反映出认知结构的二重性特征，两者在文化认知活动中可互为挹注共存于对立统一关系里。因此，对中国少数民族文化范式的研究，不仅要重视建构之功能催生的符号化文化构成，还应关注解构之功能显现的非常见的文化元素。同时，只有弄清楚定向思维模式的建构与解构在文化认知中的意涵，才能明确定向思维模式的“趋向”和“专注”特点以及“惰化”和“孤立”倾向，从而为牵及民族文化事项的认知固化与迁移提供理论工具并用以指导多元文化实践。