经史之学与清代书院科举文教育

清代书院官学化,很多书院重视科举。有些书院虽从事科举文教育,但不唯之是从,而是将科举文教育与经史之学教育结合起来。此举上溯于中国古代社会推崇经史之学的优良传统,根植于孔子“博学于文”的思想主张,来源于以学术导向矫正利禄歪风的迫切要求。生徒只有学充养邃,才会眼界高、气味厚、笔力健。清代一些书院将科举文教育与经史之学教育结合起来,使得生徒学文不是局限于写作技巧的训练,而是拓展为与炼品、践行、培识的结合。这些书院通过教育,能够为社会培养有用人才。     

中国建设“世界制造业强国”背景下的制造业技能人才研究

处于后工业化经济时代的当代世界,技能人才对推动国家经济的发展具有举足轻重的作用,因此,确保“质优量足”的技能人才成为制造业强国广泛关注的一个焦点,这加速造成了全球技能人才的激烈争夺,进而引发世界范围内大面积的“技能荒”现象.由此,文章在中国建设“世界制造业强国”的背景下,基于对制造业中心国家——英国、美国和日本制造业技能人才短缺现状和成因探讨的基础上,深入分析三国政府和企业采取的措施以及效果,以期为中国有效应对技能人才短缺提供参考.     

习近平建设海洋强国重要论述研究

习近平建设海洋强国重要论述经历了率先发出“向海进军”号召、明确提出海洋经济强省建设、庄严宣告海洋强国建设三个阶段。习近平建设海洋强国重要论述主要包括发展海洋经济、保护海洋环境、创新海洋科技、维护海洋权益等。习近平建设海洋强国重要论述具有三个鲜明的特点：在海洋强国建设“目的性”上做到了为国富强与为民谋利的统筹;在海洋强国建设“方法论”上做到了矛盾论和系统论等方法的统筹运用;在海洋强国建设“治理观”上实现了国际治理与国家治理的统筹。习近平建设海洋强国重要论述具有重要的区域意义——指导有关沿海省份创建海洋强省示范区、国家意义——强力推进海洋强国建设并取得了重大突破、世界意义——为全球海洋治理提供“中国方案”和“中国经验”。     

中国电力消费周期的路径演化识别——基于Markov区制转移模型

基于1980-2016年中国第一产业、第二产业（工业、建筑业）和第三产业的年度电力消费数据,采用H-P滤波技术对中国电力消费的趋势成分和波动成分轨迹进行刻画,运用马尔科夫区制转移[MS（n）-AR（p）]模型分析中国电力消费周期在各区制间的动态转移过程,识别改革开放以来中国电力消费周期的路径演化特征,在此基础上预测未来5年中国电力消费周期的区制分布情况。研究发现:（1）中国电力消费增长率的波动程度自2003年明显缩窄,且从2007年开始进入下行周期。（2）中国电力消费周期具有较强的稳定性,不易向着其收缩期和扩张期跨越。且中国电力消费处于"低速增长区制"的年份往往对应着中国经济发展相对趋缓的大环境。（3）2014-2015年中国电力消费向其收缩期转移的迹象明显,但预测结果表明,未来5年中国电力消费整体上将继续保持稳定增长的趋势。     

The State of Research in Latino Academic Attainment

In this essay, I present an interdisciplinary examination of the state of research in Latino education, addressing not only the cultural forces influencing Latinos’ educational attainment, but also the structural conditions faced by them—as a racialized minority group—throughout their schooling and that have a cumulative effect on their academic attainment. Overall, I suggest that by engaging in a critical review of the literature on Latinos’ educational attainment, the reader will acknowledge that the racially driven hierarchical structural arrangements are highly responsible for the patterns observed.     

A new test for multivariate normality by combining extreme and nonextreme BHEP tests

In this article, we propose a new multiple test procedure for assessing multivariate normality, which combines BHEP (Baringhaus–Henze–Epps–Pulley) tests by considering extreme and nonextreme choices of the tuning parameter in the definition of the BHEP test statistic. Monte Carlo power comparisons indicate that the new test presents a reasonable power against a wide range of alternative distributions, showing itself to be competitive against the most recommended procedures for testing a multivariate hypothesis of normality. We further illustrate the use of the new test for the Fisher Iris dataset.     

Feminist power and its implications on Uganda’s malaria communication campaign

This paper examines power and its manifestation in Uganda’s “Stop Malaria Campaign.” It specifically questions the apparent radical feminism, which is conceptualized as a quest for power, and how such excesses drive implementation of the campaign. The paper explains data collected through focus group discussions and key informant interviews using feminist communication theory as informed by the critical ideas of feminism and power. These three ideas help to put into perspective: domination of the campaign by one gender, interpretation of the campaign’s objectives to suit that one gender, and communication methods used in the campaign. Analysis of the above three processes shows that men are the weaker gender in the malaria prevention drive, an idea that has clashed with the existing male chauvinism on which several families still thrive in Africa. A view that radical feminism should be seen as an organized form of power that needs to be checked if Uganda’s malaria communication campaign is to be implemented successfully is herein proposed, along with some solutions to the challenges.     

A latent variable model for analyzing mixed longitudinal (k,l)-inflated count and ordinal responses

A random effects model for analyzing mixed longitudinal count and ordinal data is presented where the count response is inflated in two points (k and l) and an (k,l)-Inflated Power series distribution is used as its distribution. A full likelihood-based approach is used to obtain maximum likelihood estimates of parameters of the model. For data with non-ignorable missing values models with probit model for missing mechanism are used.The dependence between longitudinal sequences of responses and inflation parameters are investigated using a random effects approach. Also, to investigate the correlation between mixed ordinal and count responses of each individuals at each time, a shared random effect is used. In order to assess the performance of the model, a simulation study is performed for a case that the count response has (k,l)-Inflated Binomial distribution. Performance comparisons of count-ordinal random effect model, Zero-Inflated ordinal random effects model and (k,l)-Inflated ordinal random effects model are also given. The model is applied to a real social data set from the first two waves of the national longitudinal study of adolescent to adult health (Add Health study). In this data set, the joint responses are the number of days in a month that each individual smoked as the count response and the general health condition of each individual as the ordinal response. For the count response there is incidence of excess values of 0 and 30.     

Confidence interval estimation and hypothesis testing for a common correlation coefficient

Several procedures have been proposed for testing the hypothesis that all off-diagonal elements of the correlation matrix of a multivariate normal distribution are equal. If the hypothesis of equal correlation can be accepted, it is then of interest to estimate and perhaps test hypotheses for the common correlation. In this paper, two versions of five different test statistics are compared via simulation in terms of adequacy of the normal approximation, coverage probabilities of confidence intervals, control of Type I error, and power. The results indicate that two test statistics based on the average of the Fisher z-transforms of the sample correlations should be used in most cases. A statistic based on the sample eigenvalues also gives reasonable results for confidence intervals and lower-tailed tests.     

中华武术散打之局部力量与整体力量解读

散打之力量是散打运动中除运动技术等要素外,非常重要的另一要素,散打之力量在运动中表现出两个方面的应用,即散打之局部力量和整体力量;散打之局部力量和整体力量在比赛中交替展现,正是由于散打之局部力量和整体力量的不停变换使用及不同情况下各种力量共同作用,运动员才能在比赛中赢得胜利。散打之局部力量与整体力量的科学应用与训练不仅塑造了练习者完美的运动身形,而且培养了个人不凡的运动气质,是一项完美的体育运动。