播音主持艺术专业实践教学模式探究

分析了目前播音主持艺术专业实践教学的现状,阐述了实践教学改革的重要性,揭示了其中存在问题,针对性地提出了“亦师亦傅、亦生亦徒双重角色”的实践教学模式。这种新的实践教学模式,有利于培养理论知识和专业技能兼备的播音主持人才,亦能够为高校应用型本科艺术类及其他专业人才培养提供借鉴。     

从费孝通的双轨政治理论看我国社会管理的困境

费孝通的双轨政治理论认为：“一个健全的、能持久的政治必须是上通下达,来往自如的双轨形式。”结合费孝通的观点可以发现：由于缺乏对基层自治组织在民主政治与自我管理层面重要性的深入认识,导致我国社会组织极不发达,公民社会发育缓慢,从而加剧了政府的社会管理压力。要改善当前我国的社会管理困境,必须重视和发挥以基层自治组织为代表的社会组织的功能与作用,从中国的传统政治文化中吸取智慧,构建具有中国特色的公民社会,实现社会的良好管理与和谐发展。     

王国维“通人之学”与“专人之学”的尺短寸长

王国维“通人之学”“专人之学”等学术思想是中国学术研究转型的重大创新,通过对王国维学术成长的梳理、学术成果的分析、学术思想的论证,对“静安之学”进行了全面系统的研究。研究认为,王国维凭借厚实的知识贮备,批判地继承西方哲学理论与中国古代哲学思想,在构建中国大文科的学科体系、研究文史哲的学术体系和中国学者的学术话语体系方面做出了全面系统实践,取得重大进展和开创性成果,堪称开一代风气的大学者;王国维以创辟胜解、通方知类的学术思辨,创立二重证据方法,探索出一条由“通人之学”到“专人之学”学问研究蹊径。系统审读、反思静安之学,对我们严肃读书风气、匡正学问研究态度、提倡学术争鸣、甄别解决知识产权争端、清除学术造假现象、规范学术研究流程,能够起到见贤思齐、弃旧图新之作用。     

Smooth Goodness-of-Fit Specification Tests Under the Lagrange Multiplier Principle

This article generalizes Neyman's smooth test for the goodness-of-fit hypothesis using orthogonal polynomials of the density function under the null hypothesis, and derives a Lagrange Multiplier (LM) statistic based on the generalized form of the smooth test. Under the null hypothesis, using the joint limiting normality of the orthogonal functions imbedded into the smooth alternative density function and the restricted parameter estimators, the covariance matrix of the LM statistic can be estimated. The procedure of constructing monic orthogonal polynomials from a given moment function is developed. This procedure is applied to examples of testing for normal, Poisson, and gamma distributions.     

A detection algorithm for the first jump time in sample trajectories of jump-diffusions driven by α-stable white noise

Abstract

The purpose of this paper is to develop a detection algorithm for the first jump point in sampling trajectories of jump-diffusions which are described as solutions of stochastic differential equations driven by α-stable white noise. This is done by a multivariate Lagrange interpolation approach. To this end, we utilize computer simulation algorithm in MATLAB to visualize the sampling trajectories of the jump-diffusions for various combinations of parameters arising in the modeling structure of stochastic differential equations.     

An algorithm for the minimum sum of weighted absolute errors regression

We propose an algorithm to estimate the unknown constants in a multiple linear regression model under the minimum sum of weighted absolute errors (MSWAE). The proposed algorithm, a generalization of an earlier algorithm, is compared to a bounded variable algorithm. Some somputational experience is reported.     

Some aspects of statistical inference on the lagrange (generalized) poisson distribution

A generalization of the Poisson distribution was defined by Consul and Jain (Ann. Math. Statist., 41, (1970)) and was obtained as a particular family of Lagrange distributions by Consul and Shenton (SIAM. J. Appl. Math., 23, (1972)). The distribution is subsequently named the generalized Poisson distribution (GPD). This GPD reduces to the Poisson distribution for ? = 0. When the data have a one-way layout structure, the asymptotically locally optimal Neyman's C(d) test is constructed and compared with the conditional test on the hypothesis H_o? = 0. Within the framework of the generalized linear models an appropriate link function is given, and the asymptotic distributions of the estimated parameters are derived.     

双重规训：平台可见性与读者赋权——网络文学平台签约作者的数字劳动研究

以J网络文学平台为研究对象,采用参与式观察与半结构化访谈的研究方法,基于马克思劳动过程理论分析范式,揭示出网络文学平台签约作者的数据劳动实践。研究发现,平台作为技术中介与制度中介,塑造了网络文学领域参与者的表现,策划了签约作者创作作品的可见性,这种可见性由可计量的数据指标构成,对劳动主体进行着隐蔽规制。此外,读者在消费赋权下拥有了参与文化产品生产的主动权,形塑了作者的劳动策略,需要作者投入感情以维系与读者的亲密关系。因此,签约作者在劳动实践的过程中看似具有高度自主性,实则受到了网络文学平台和读者的双重规训。     

Tests for random time effects and spatial error correlation in panel regression models

We consider a panel model with spatial autocorrelation and heterogeneity across time. Various Lagrange multiplier and likelihood ratio test statistics are developed for testing time effects and spatial effects, jointly, marginally or conditionally. Limiting null distributions of the tests are derived. Size and power performances of the proposed tests are compared by a Monte-Carlo experiment.     

Extending dual multiple factor analysis to categorical tables

This paper describes a proposal for the extension of the dual multiple factor analysis (DMFA) method developed by Lê and Pagès 15 to the analysis of categorical tables in which the same set of variables is measured on different sets of individuals. The extension of DMFA is based on the transformation of categorical variables into properly weighted indicator variables, in a way analogous to that used in the multiple factor analysis of categorical variables. The DMFA of categorical variables enables visual comparison of the association structures between categories over the sample as a whole and in the various subsamples (sets of individuals). For each category, DMFA allows us to obtain its global (considering all the individuals) and partial (considering each set of individuals) coordinates in a factor space. This visual analysis allows us to compare the set of individuals to identify their similarities and differences. The suitability of the technique is illustrated through two applications: one using simulated data for two groups of individuals with very different association structures and the other using real data from a voting intention survey in which some respondents were interviewed by telephone and others face to face. The results indicate that the two data collection methods, while similar, are not entirely equivalent.