构建生命化英语课堂

传统的课堂教学存在着种种缺陷,表现为人的边缘化、课堂时空单一化、教学程序刻板化。生命化课堂教学的本质特征主要表现有人文性、多元性、体验性和动态性。课堂上我们要以学生的全面发展为本,紧密结合学生的现实生活,建立多元的评价体制和和谐的师生关系,让英语课堂充满生命从而促进完整的人的生成与成长。     

我国中小企业个性化知识服务的问题及对策研究

在阐述中小企业和个性化知识服务概念的基础上，分析了我国中小企业在个性化知识服务方面主要存在的基础薄弱、观念落后、资金不足、人才短缺等问题，并提出了政府引导、观念转变、资金引入、人才引进和培训等对策。     

Scrutinizing thing knowledge

In his book Thing Knowledge Davis Baird argues that our accustomed understanding of knowledge as justified true beliefs is not enough to understand progress in science and technology. To be more accurate he argues that scientific instruments are to be seen as a form of “objective knowledge” in the sense of Karl Popper.I want to examine if this idea is plausible. In a first step I want to show that this proposal implies that nearly all man-made artifacts are materialized objective knowledge. I argue that this radical change in our concept of knowledge demands strong reasons and that Baird does not give them. I take a look at the strongest strand of arguments of Baird's book—the arguments from cognitive autonomy—and conclude that they do not suffice to make Baird's view of scientific instruments tenable.     

Hierarchical Shrinkage in Time‐Varying Parameter Models

In this paper, we forecast EU area inflation with many predictors using time‐varying parameter models. The facts that time‐varying parameter models are parameter rich and the time span of our data is relatively short motivate a desire for shrinkage. In constant coefficient regression models, the Bayesian Lasso is gaining increasing popularity as an effective tool for achieving such shrinkage. In this paper, we develop econometric methods for using the Bayesian Lasso with time‐varying parameter models. Our approach allows for the coefficient on each predictor to be: (i) time varying; (ii) constant over time; or (iii) shrunk to zero. The econometric methodology decides automatically to which category each coefficient belongs. Our empirical results indicate the benefits of such an approach. Copyright © 2013 John Wiley & Sons, Ltd.     

河南省高职高专院校图书馆员知识结构与人才培养

为了探讨如何调整和完善高职高专院校图书馆员的知识结构,更好地培养、吸引、保持和使用人才,对河南省有代表性的5所院校图书馆员的学历结构、知识结构进行了分析,发现河南省高职高专院校图书馆员的知识面窄,知识结构单一,各种知识要素组合不和谐、不协调,不能形成有机的整体。加强在职人员专业知识的培训和引进高素质人才是高职高专院校图书馆发展的一项紧迫任务。     

满足新时代社会需求的图书馆知识管理与服务创新

在知识经济时代,我国的图书馆将走上改革创新之路以迎接新时代的社会需求。就图书馆知识管理的必要性进行了研究,提出了具体的创新服务路径,以此为广大读者提高学习质量和获取知识的便利性提供必要的条件。     

大成管理哲学修治津梁——为人·为事·为学与领导境界

大成管理哲学是一门实践性很强的科学,关键在于为人、为事、为学合一之道德境界修炼。在行习上,必须坚持理论与实际相结合,既读有字之书,又读无字之书,掌握读书与治学方法,如学、问、思外,最终要落实在行,即做人、做事、做学问的功夫上,达到＂知行合一＂;在研究上,运用和把握基本研究方法与跨学科研究方法结合的基础上,综合运用马克思主义的观点方法、现代管理科学方法、社会科学方法等,提升领导境界,实现＂修己安人＂目的,进而促进大成管理哲学思想的深入探究和生态发展。     

高校图书馆知识转移效率评价指标体系研究

随着知识转移理念的深入,知识转移效率问题也成为当今学者研究的热门课题。高校图书馆是知识的集散地,只有通过有效的知识转移才能够体现其价值,提高其综合实力,但目前国内外关于高校图书馆知识转移效率的研究还缺乏系统性和综合性。从分析影响高校图书馆知识转移效率的因素入手,利用层次分析法构建了一套指标体系,以此来评价高校图书馆的知识转移效率问题。     

面向术语翻译的南海领域本体知识库设计及构建研究

现代术语学的奠基人维斯特(E. Wüster)在其专著《普通术语学和术语词典编纂学导论》(Einführung in die Allgemeine Terminologie und Terminologische Lexikographie)^[1]中定义“术语是一个专业领域的概念指称系统,它包括了所有的专业表达,这些表达是一般的、常见的”。传统的术语学研究局限于对词汇的研究,然而随着计算机技术的发展,对术语的抽取和标注更多地来自真实文本,特别是更加依赖于知识库的构建。本研究重点在于以越南为例构建南海领域汉英本体知识库,对领域相关术语及术语间的关系进行描述,以实现对南海领域知识的系统组织,更好地服务领域术语研究和基于知识本体的术语翻译。     

Sparse Bayesian vector autoregressions in huge dimensions

We develop a Bayesian vector autoregressive (VAR) model with multivariate stochastic volatility that is capable of handling vast dimensional information sets. Three features are introduced to permit reliable estimation of the model. First, we assume that the reduced-form errors in the VAR feature a factor stochastic volatility structure, allowing for conditional equation-by-equation estimation. Second, we apply recently developed global–local shrinkage priors to the VAR coefficients to cure the curse of dimensionality. Third, we utilize recent innovations to sample efficiently from high-dimensional multivariate Gaussian distributions. This makes simulation-based fully Bayesian inference feasible when the dimensionality is large but the time series length is moderate. We demonstrate the merits of our approach in an extensive simulation study and apply the model to US macroeconomic data to evaluate its forecasting capabilities.