试论知识经济与高校学术功能

知识经济时代的到来 ,把高等学校推向了社会的中心地位 ,同时带来了新的生机。高校人才集聚 ,应成为知识经济的策源地 ,这就要求高校发挥基础性研究的学术功能 ,综合研究的学术功能 ,教学研究的学术功能 ,应用研究的学术功能 ,高校自身发展研究的学术功能 ,才能够完成历史使命     

如何加强大学生文化素质教育

本文从文化的作用和教育的目的 ,谈加强大学生文化素质教育的必要性 ,简要分析当前学生文化素质状况 ,并从课程改革、教师作用、校园文化氛围等几方面提出建议和思路     

简论知识经济条件下党的建设

随着21世纪知识经济社会的到来,我们党将在新的历史条件下进一步发挥其先进作用.加强党的理论建设是保持和发挥党的先进性的基础;提高党员队伍整体素质是党的自身建设的根本;完善党内民主机制是党自身建设的关键.     

对人力资本定义及涵义的再思考

本文将通过分析比较前人对人力资本概念的定义和解释,重新给出人力资本的定义,并对人力资本的涵义及特性作进一步的思考。     

网络环境对高校图书馆员的新要求

本文论述网络环境下高校图书馆的硬件建设以及对图书馆员提出的新要求。     

论新形势下科技编辑的继续教育

分析对科技编辑进行继续教育的必要性和紧迫性,探讨编辑应具备的知识结构及编辑继续教育的途径。     

The inner circle: Building bridges or boundaries between researchers and practitioners

An epistemological and methodological approach, The Change Laboratory, is analysed to determine which forms of distributing knowledge are apparent during cross-cultural research. Distributing knowledge is intricately related to methodological design, to researchers’ and practitioners’ life experiences and to roles of power. The article concludes that research conducted across cultures necessitates careful analysis of the power found within forms of distributing knowledge. This power is derived from a tacit belief that certain knowledge is only available to those within a given circle or that it is available to those outside a given circle without alteration.     

Bridging Rhetoric and Practice: New Perspectives on Barriers to Gendered Change

ABSTRACT

This article presents a new methodology, Gender Knowledge Contestation Analysis, and uses it to examine the processes under way when transformative gender equality policies, such as gender mainstreaming are implemented. Drawing on data gathered in the European Commission, the findings show the processes linking high-level rhetorical policy statements, strategic policies, and daily working practices. This analysis enables exploration of the mechanisms through which indifference to and nonawareness of gendered policy problems are collectively constituted and methods through which they can be challenged. Findings thus deepen our understanding of barriers to the implementation of gender mainstreaming and the steps required for its effective implementation.     

A new Bayesian wavelet thresholding estimator of nonparametric regression

The methods of estimation of nonparametric regression function are quite common in statistical application. In this paper, the new Bayesian wavelet thresholding estimation is considered. The new mixture prior distributions for the estimation of nonparametric regression function by applying wavelet transformation are investigated. The reversible jump algorithm to obtain the appropriate prior distributions and value of thresholding is used. The performance of the proposed estimator is assessed with simulated data from well-known test functions by comparing the convergence rate of the proposed estimator with respect to another by evaluating the average mean square error and standard deviations. Finally by applying the developed method, density function of galaxy data is estimated.     

Flexible objective Bayesian linear regression with applications in survival analysis

We study objective Bayesian inference for linear regression models with residual errors distributed according to the class of two-piece scale mixtures of normal distributions. These models allow for capturing departures from the usual assumption of normality of the errors in terms of heavy tails, asymmetry, and certain types of heteroscedasticity. We propose a general non-informative, scale-invariant, prior structure and provide sufficient conditions for the propriety of the posterior distribution of the model parameters, which cover cases when the response variables are censored. These results allow us to apply the proposed models in the context of survival analysis. This paper represents an extension to the Bayesian framework of the models proposed in [16]. We present a simulation study that shows good frequentist properties of the posterior credible intervals as well as point estimators associated to the proposed priors. We illustrate the performance of these models with real data in the context of survival analysis of cancer patients.