“中间物”意识与译者意识重现

作为翻译家的鲁迅在从事翻译活动的过程中时刻坚守一条准则,那就是"中间物"意识。这种意识的产生缘于鲁迅对中国传统文化和社会形态的改造和重建。在译介过程中,因"中间物"意识而直接诱发了译者意识的重现,使得译者可以能动地掌控翻译活动中各个环节,从而实现鲁迅本人通过译作达到改良文化的目的。     

饮食人类学：求解人与文化之谜的新途径

马文·哈里斯的《好吃饮食与文化之谜》一书的研究思路代表着文化人类学展的一种前沿方向,即从自然科学与人文社会科学的结合部上去探索.动用各种可能的学科资源去求解人与文化之谜的新途径     

一类高阶非线性常微分方程组的正解存在性和多重性

利用锥上的不动点定理,研究了带有独立参数的非线性2p-2q阶常微分方程组正解的存在性和多重性.如果非线性项满足一定条件,而参数λ和μ分别属于适当的区间时,得到了方程组分别至少有一个正解及两个正解的存在性结果.这一结果从方程组的高阶与不同阶以及两参数的独立性两方面对已有结果进行了推广.     

管理层薪酬与公司绩效研究述评

本文系统梳理了管理层薪酬与公司绩效研究经典文献及最新研究成果,先对管理层薪酬与公司绩效理论基础研究进行了整理和简述,再对管理层薪酬与公司绩效实证研究按照先国外经典文献后国内最新研究成果的分析框架进行了较为全面的回顾和综述。总的来说,国外研究已趋于成熟,而国内研究结论分歧较大。本文最后在对国内外研究综合筒评的基础上对国内此领域的研究从理论基础、研究设计、研究内容和研究结论等几方面存在的问题进行了分类述评。     

汉英构词共性及其在英语词汇习得中的正迁移作用

汉英构词法在很多方面具有惊人的相似性。本文通过比较汉英构词法中的合成法与派生法两大构词法的相似之处,得出由汉语母语到英语的正迁移式单词习得方法。     

各向同性谐振子径向矩阵元的递推关系

推导出三维各向同性谐振子径向矩阵元〈n'l'|rp|nl〉的递推关系,并利用二维各向同性谐振子的径向方程与三维各向同性谐振子的径向方程的类似性,简洁地导出二维各向同性谐振子径向矩阵元〈n'l'|pq| nl〉的递推关系.     

Improved estimators of common variance of <Emphasis Type="Italic">p</Emphasis>-populations when Kurtosis is known

The pooled variance of p samples presumed to have been obtained from p populations having common variance σ², has invariably been adopted as the default estimator for σ². In this paper, alternative estimators of the common population variance are developed. These estimators are biased and have lower mean-squared error values than . The comparative merit of these estimators over the unbiased estimator is explored using relative efficiency (a ratio of mean-squared error values).     

Multivariate singular spectrum analysis for forecasting revisions to real-time data

Real-time data on national accounts statistics typically undergo an extensive revision process, leading to multiple vintages on the same generic variable. The time between the publication of the initial and final data is a lengthy one and raises the question of how to model and forecast the final vintage of data – an issue that dates from seminal articles by Mankiw et al. [51 Mankiw, N. G., Runkle, M. and Shapiro, M. D. 1984. Are preliminary announcements of the money stock rational forecasts?. J. Monetary Econ., 14: 15–27. [Crossref], [Web of Science ®] [Google Scholar]], Mankiw and Shapiro [52 Mankiw, N. G. and Shapiro, M. D. 1986. News or noise? An analysis of GNP revisions. Surv. Curr. Bus. May, : 20–25.  [Google Scholar]] and Nordhaus [57 Nordhaus, W. D. 1987. Forecasting efficiency: Concepts and applications. Rev. Econ. Stat., 4: 667–674.  [Google Scholar]]. To solve this problem, we develop the non-parametric method of multivariate singular spectrum analysis (MSSA) for multi-vintage data. MSSA is much more flexible than the standard methods of modelling that involve at least one of the restrictive assumptions of linearity, normality and stationarity. The benefits are illustrated with data on the UK index of industrial production: neither the preliminary vintages nor the competing models are as accurate as the forecasts using MSSA.     

“积极老龄化”框架下的老年人心理健康

在社会经济高速发展的今天,全球都面临着一个严峻的挑战——人口老龄化,它是社会经济发展的必然结果。我国的人口老龄化速度也进入了快速发展时期。在＂积极老龄化＂（健康、参与和保障）框架下,我国的老年人心理健康问题突出,政府、社会、家庭要积极关注老年人心理健康问题,以提高老年人的生活质量。     

Comparing multiple treatments to both positive and negative controls

In the past, most comparison to control problems have dealt with comparing k test treatments to either positive or negative controls. Dasgupta et al. [2006. Using numerical methods to find the least favorable configuration when comparing k test treatments to both positive and negative controls. Journal of Statistical Computation and Simulation 76, 251–265] enumerate situations where it is imperative to compare several test treatments to both a negative as well as a positive control simultaneously. Specifically, the aim is to see if the test treatments are worse than the negative control, or if they are better than the positive control when the two controls are sufficiently apart. To find critical regions for this problem, one needs to find the least favorable configuration (LFC) under the composite null. In their paper, Dasgupta et al. [2006. Using numerical methods to find the least favorable configuration when comparing k test treatments to both positive and negative controls. Journal of Statistical Computation and Simulation 76, 251–265] came up with a numerical technique to find the LFC. In this paper we verify their result analytically. Via Monte Carlo simulation we compare the proposed method to the logical single step alternatives: Dunnett's [1955. A multiple comparison procedure for comparing several treatments with a control. Journal of the American Statistical Association 50, 1096–1121] or the Bonferroni correction. The proposed method is superior in terms of both the Type I error and the marginal power.