汪洋恣肆隽妙文心--论《庄子》内篇的结构艺术

<庄子>内篇文章的结构可以概括为散而不乱的链条型结构、层层深入的递进式结构、跳跃性结构、生发式结构等四种方式.<庄子>内七篇文章的结构不是单一结构的运用,而是多种结构交织在一起,在环环相扣的链条式结构中有跳跃性的结构,在层层递进的结构中也表现出了环环相扣这种结构的严密.<庄子>内篇的文章呈现出复合式的艺术结构.     

背越式跳高运动员训练过程中恐惧心理的产生原因与克服方法

从跳高运动员的主观状态、客观因素、教练员的焦虑问题三个方面对背越式跳高训练过程中运动员恐惧心理的产生原因进行了分析,并提出了相应的克服方法和建议,为背越式跳高理论和训练提供参考。     

Modelling spatially correlated data via mixtures: a Bayesian approach

Summary. The paper develops mixture models for spatially indexed data. We confine attention to the case of finite, typically irregular, patterns of points or regions with prescribed spatial relationships, and to problems where it is only the weights in the mixture that vary from one location to another. Our specific focus is on Poisson-distributed data, and applications in disease mapping. We work in a Bayesian framework, with the Poisson parameters drawn from gamma priors, and an unknown number of components. We propose two alternative models for spatially dependent weights, based on transformations of autoregressive Gaussian processes: in one (the logistic normal model), the mixture component labels are exchangeable; in the other (the grouped continuous model), they are ordered. Reversible jump Markov chain Monte Carlo algorithms for posterior inference are developed. Finally, the performances of both of these formulations are examined on synthetic data and real data on mortality from a rare disease.     

跳远教学中表象训练初探

心理训练作为体育训练的一种方法 ,在体育训练和比赛中被广泛的运用和研究。本文通过对比实验 ,充明说明了表象训练作为体育教学的一种方法在体育教学中具有特殊效果 ,它不但能事半功倍地掌握跳远技术动作 ,同时对提高学生学习动机 ,激发学生兴趣等诸方面都有着积极的作用     

Bayesian estimation in Kibble's bivariate gamma distribution

The authors describe Bayesian estimation for the parameters of the bivariate gamma distribution due to Kibble (1941). The density of this distribution can be written as a mixture, which allows for a simple data augmentation scheme. The authors propose a Markov chain Monte Carlo algorithm to facilitate estimation. They show that the resulting chain is geometrically ergodic, and thus a regenerative sampling procedure is applicable, which allows for estimation of the standard errors of the ergodic means. They develop Bayesian hypothesis testing procedures to test both the dependence hypothesis of the two variables and the hypothesis of equal means. They also propose a reversible jump Markov chain Monte Carlo algorithm to carry out the model selection problem. Finally, they use sets of real and simulated data to illustrate their methodology.     

田径跳跃类项目反应力量特征研究

在阐述专项力量和反应力量的基础上，对田径跳跃项目专项力量中的反应力量进行深入探讨，分别讨论了田径跳跃项目技术的共性特征、各个项目起跳的状态特征、起跳过程中反应力量的共性特征、反应力量专项化的训练要求及常用方法．认为田径跳跃项目专项力量主要以“反应力量”为核心，教练员要结合专项特征加强运动员的反应力量训练．     

Sampling Returns for Realized Variance Calculations: Tick Time or Transaction Time?

This article introduces a new model for transaction prices in the presence of market microstructure noise in order to study the properties of the price process on two different time scales, namely, transaction time where prices are sampled with every transaction and tick time where prices are sampled with every price change. Both sampling schemes have been used in the literature on realized variance, but a formal investigation into their properties has been lacking. Our empirical and theoretical results indicate that the return dynamics in transaction time are very different from those in tick time and the choice of sampling scheme can therefore have an important impact on the properties of realized variance. For RV we find that tick time sampling is superior to transaction time sampling in terms of mean-squared-error, especially when the level of noise, number of ticks, or the arrival frequency of efficient price moves is low. Importantly, we show that while the microstructure noise may appear close to IID in transaction time, in tick time it is highly dependent. As a result, bias correction procedures that rely on the noise being independent, can fail in tick time and are better implemented in transaction time.     

大数据驱动下的政府治理机制研究——基于2020年后精准扶贫领域的返贫阻断分析

大数据时代已经到来，大数据驱动下的政府治理发生何种改变，目前相关研究较少。当前政府治理的考验集中在2020年实现全面脱贫后精准扶贫领域的返贫阻断。文章以该领域为切入点，探索大数据驱动下政府治理的内在机制。研究发现：大数据背景下，政府治理能力催生出新的核心能力，即数据治理能力。数据治理能力驱动下，政府治理主体多元化有利于实现政府治理资源的宽范围、精准化动员；政府治理方式实现经验式决策向数据化决策转变，有利于实现政府资源的高效率和公平配置；政府治理客体的精准识别，有利于政府资源的精准化和最优化运用。但是客观上必须具备数据治理能力，主观上必须按照大数据驱动的要求重构政府治理体系（包括治理主体、治理方式和治理客体），才能真正实现以数据治理驱动政府治理，进而提高政府治理能力的目的。而数据治理能力客观上也加速了政府治理体系的重构，进而加快了政府治理能力的提升，并最终提高政府治理绩效。在对标大数据应用不同阶段分析常规式返贫阻断和大数据返贫阻断的不足和差距的基础上，笔者提出重构政府治理体系和提升数据治理能力等针对性建议。     

Bayesian MARS

A Bayesian approach to multivariate adaptive regression spline (MARS) fitting (Friedman, 1991) is proposed. This takes the form of a probability distribution over the space of possible MARS models which is explored using reversible jump Markov chain Monte Carlo methods (Green, 1995). The generated sample of MARS models produced is shown to have good predictive power when averaged and allows easy interpretation of the relative importance of predictors to the overall fit.     

太极拳运动对膝关节影响的研究

通过文献资料法,分析了太极拳运动对膝关节影响的研究现状,并进一步阐述与膝关节健康的相关因素,目的在于为研究与太极拳有关的膝关节健康问题提供理论基础.