马克思主义政治哲学应当是一种现代政治哲学

侯才从政治哲学的双重维度分析了马克思的政治哲学,他指出,从狭义上讲,马克思政治哲学中包含了一个完整的体系;从广义上讲,整个马克思哲学就是一种地地道道的政治哲学,“实践唯物主义”则是马克思对自己的政治哲学的一种独具特色的表述。李德顺认为,为了卓有成效地发展马克思主义政治哲学,首先应当明确政治哲学本身的基本问题,明确政治哲学在西方及中国兴起的现实原因,从理论基础和现实依据两个方面深入理解马克思主义政治哲学。王南湜认为,当代中国的马克思主义政治哲学应当是一种现代政治哲学,即说明一个正常社会的基本条件。将马克思主义政治哲学归属在现代政治哲学的论域中,则是这项研究当前最迫切和最实际的问题。吴晓明认为,作为近代政治哲学代表的黑格尔哲学揭示了政治事务中的“社会现实”,马克思则批判地拯救了政治哲学通向社会现实的道路,历史唯物主义对“社会现实”的重新发现,并给予今日中国的马克思主义政治哲学研究以重要的启示。     

激发学生的学习动机促进学习者自主发展

动机是影响外语学习者自主学习的重要因素之一。教师在培养学习者自主能力中,应充分调动和激发学习者内在动机和外在动机,促进学习者自主学习。     

自由释义:自由与利用自由的能力之辨

自由与实行自我意志的障碍之消除,并不完全相同:自由仅仅是实行自我意志的自身之外的外在障碍之消除:实行自我意志的自身内在障碍之消除,并不是自由,而是利用自由的能力或条件。     

On a statistic useful in dimensionality reduction in multivariable linear stochastic system

In this paper we study the sampling properties of a test statistic which has important applications in the area of linear stochastic control systems with multi-inputs and multi-outputs. The statistic is the ratio of a partial sum of the eigenvalues of a sample covariance matrix and its trace. It turns out that using a method due to Sugiura we may derive a useful approximation for its distribution up to and including terms of order l/n, where n denotes the appropriate size. Numerical illustrations using real data are given.     

Psychological and Linguistic Research on Motivation

I Psychological Research on Motivation1.1Psychological perspectives on motivationIt is an urgent task for applied linguists to employthe essential and useful parts frompsychological theoriesof motivation andtheir findings.Concerning psychological approach…     

目标企业价值评估方法的选择

合理的目标企业价值是兼并收购顺利进行的基础,资产评估方法是实现评定估算目标企业价值的技术手段。尽管在上市公司实践中,目标企业价值评估有多种估价方法可以选择,但是由于评估方法自身的局限性或者其他因素的影响,评估结果并不能真正反映目标企业的内在价值。因此,充分了解各种目标企业价值评估方法及评估模型的优势及局限性,恰当地选择评估方法,是目标企业价值评估的关键。     

赋形与写意——中国艺术结构构制论

赋形与写意是中国艺术结构的重要构制特点。赋形偏重于绘形,写意着眼于感悟。在具体的艺术构制过程中,赋形与写意的比重往往规定着作品风格、面貌的呈现。而当艺术家自觉运用这一原则时,赋形与写意就成为中国艺术结构审美理想的某种凸显。     

保罗·泰勒的生态伦理观

保罗·泰勒的生态伦理思想的核心是尊重自然.该伦理观作为以生物为中心的伦理思想体系,同以人类为中心的伦理观形成对立.它主要由三个基本成分所组成:具有世界观性质的理论前提或信仰体系、基本道德立场、一组规定义务的行为规则与品行标准.以生命为中心的自然观作为理论前提构成保罗·泰勒的伦理观的基础,而这种自然观本身又是由以下信念所组成:把人类视为地球生命共同体的成员,认为自然界是有机系统,认为个体有机体是目的论意义上的生命中心以及对人类优越论的否定.     

Objective Testing Procedures in Linear Models: Calibration of the p-values

Abstract.  An optimal Bayesian decision procedure for testing hypothesis in normal linear models based on intrinsic model posterior probabilities is considered. It is proven that these posterior probabilities are simple functions of the classical F -statistic, thus the evaluation of the procedure can be carried out analytically through the frequentist analysis of the posterior probability of the null. An asymptotic analysis proves that, under mild conditions on the design matrix, the procedure is consistent. For any testing hypothesis it is also seen that there is a one-to-one mapping – which we call calibration curve – between the posterior probability of the null hypothesis and the classical bi p -value. This curve adds substantial knowledge about the possible discrepancies between the Bayesian and the p -value measures of evidence for testing hypothesis. It permits a better understanding of the serious difficulties that are encountered in linear models for interpreting the p -values. A specific illustration of the variable selection problem is given.     

THE REDUCED-RANK GROWTH CURVE MODEL FOR DISCRIMINANT ANALYSIS OF LONGITUDINAL DATA

This paper presents a method of discriminant analysis especially suited to longitudinal data. The approach is in the spirit of canonical variate analysis (CVA) and is similarly intended to reduce the dimensionality of multivariate data while retaining information about group differences. A drawback of CVA is that it does not take advantage of special structures that may be anticipated in certain types of data. For longitudinal data, it is often appropriate to specify a growth curve structure (as given, for example, in the model of Potthoff & Roy, 1964). The present paper focuses on this growth curve structure, utilizing it in a model-based approach to discriminant analysis. For this purpose the paper presents an extension of the reduced-rank regression model, referred to as the reduced-rank growth curve (RRGC) model. It estimates discriminant functions via maximum likelihood and gives a procedure for determining dimensionality. This methodology is exploratory only, and is illustrated by a well-known dataset from Grizzle & Allen (1969).