从中英文的差别看英汉互译中的不等值现象

以英语和汉语这两种存在于完全独立的思维体系中的语言为例,从其语言结构,语义特征,地域文化氛围,探究英汉互译中的不等值现象,进而从现象到本质地认识翻译这门科学,为科学翻译奠定基础.     

Bayesian Multivariate Spatial Interpolation with Data Missing by Design

In a network of s _g sites, responses like levels of airborne pollutant concentrations may be monitored over time. The sites need not all measure the same set of response items and unmeasured items are considered as data missing by design . We propose a hierarchical Bayesian approach to interpolate the levels of, say, k responses at s _u other locations called ungauged sites and also the unmeasured levels of the k responses at the gauged sites. Our method involves two steps. First, when all hyperparameters are assumed to be known, a predictive distribution is derived. In turn, an interpolator, its variance and a simultaneous interpolation region are obtained. In step two, we propose the use of an empirical Bayesian approach to estimate the hyperparameters through an EM algorithm. We base our theory on a linear Gaussian model and the relationship between a multivariate normal and matrix T -distribution. Our theory allows us to pool data from several existing networks that measure different subsets of response items for interpolation.     

Changes in conjugal life in Canada: Is cohabitation progressively replacing marriage?

This article aims first to contrast the trends of marriage and cohabitation across different regions in Canada, and second, to assess whether cohabitation constitutes a new stage in the progression to marriage, or an alternative to marriage altogether. Based on various empirical demographic indicators, the analysis shows profound differences across the country. In Quebec, cohabiting unions are now widely accepted as forming the basis for family life, whereas they still largely constitute a childless prelude to marriage elsewhere in Canada. The authors discuss the role of different religious and cultural backgrounds, and of recent changes in the relationships between men and women, in accounting for the divergent evolution observed.     

Regression Methods for Combining Multiple Classifiers

As no single classification method outperforms other classification methods under all circumstances, decision-makers may solve a classification problem using several classification methods and examine their performance for classification purposes in the learning set. Based on this performance, better classification methods might be adopted and poor methods might be avoided. However, which single classification method is the best to predict the classification of new observations is still not clear, especially when some methods offer similar classification performance in the learning set. In this article we present various regression and classical methods, which combine several classification methods to predict the classification of new observations. The quality of the combined classifiers is examined on some real data. Nonparametric regression is the best method of combining classifiers.     

改革化学实验教学，培养化学创新人才

本文围绕实验教学观念的更新、实验内容的精选、实验室建设的改造和学生能力培养等方面内容进行了论述。     

The impact of risk aversion and ambiguity aversion on annuity and saving choices

Journal of Risk and Uncertainty - We analyze the impact of risk aversion and ambiguity aversion on the competing demands for annuities and bequeathable savings using a lifecycle recursive utility...     

中欧气候变化治理利益格局比较及对策分析

全球气候治理关系到世界各国和全人类的共同利益。国家利益决定一国在全球气候治理中的立场,成本与收益的激励决定一国在气候治理的国际合作中的态度。欧盟与中国在气候治理中的不同表现是基于各自在发展阶段、能源结构、贸易结构等方面的国情不同导致的不同的节能减排成本与激励水平。推动全球气候治理需要有效的国际合作,应加强气候问题的科学研究,促进节能减排的技术推广,避免国际合作中的泛道德化和目标过高等倾向。     

非政府组织参与家庭服务与支持的路径分析

非政府组织参与家庭服务与支持,可以实现弥补、协助、引领等积极功能.为了确保非政府组织参与家庭服务与支持的效果,非政府组织应从专业服务、内部治理和沟通公关三个方面加强能力建设.同时不同类别的非政府组织需要在准确定位的基础上发挥各自的优势,探索适合自身的参与家庭服务与支持的路径.     

Synthetic and composite estimation under a superpopulation model

Under a simple superpopulation model for an arbitrary sampling design we derive optimal linear unbiased estimators/predictors of a mean in a domain. They can be viewed as synthetic and composite estimators of small area estimation theory when no auxiliary variable is available. Moreover, we show that the only requirement for optimality of a sampling strategy is to use any sampling plan of fixed sample size together with traditional estimators (as designed for simple random sampling without replacement). Finally, for symmetric sampling plans, simplified formulas (based on the first two moments of sample sizes) for optimal synthetic and composite estimators and their MSE’s are derived. Throughout the paper we consistently use the model-design setup.