对联之对偶英译初探——从望城黑糜峰长联的英译谈对联英译的一些问题

对联是中华民族独有的文化瑰宝，但人们一直以为原对句不能译作外语对偶句，以致不懂汉语的人至今不能欣赏。通过对望城黑麋峰长联的英译探索证明，只要原对句语法结构相同，翻译成对偶句是完全可能的。对联能英译成对偶句，译成其他语言的对偶句也应当可能。对联这个问题可以解决，诗词曲的对仗句也应当可以解决。通过将望城黑麋峰长联英译成对偶句的三个步骤，以及在英译过程中得到的九个方面的认识作了初步的总结，希望有更多的人参与进来，共同努力，把我国的对联乃至诗词曲逐步介绍给其他民族的读者。     

高新技术园区社会创新环境的系统整合

今天的高新技术园区在发展的意义上 ,已经成为现实的社会实体。从这一理念出发 ,思考园区的建设和发展 ,其创新环境是个非常重要的问题 ,也可以说它是各类高新技术园区得以发展的基本条件。创新环境状况的好坏直接关系到园区内高新技术产业的发展。从严格意义上讲 ,缺少这个基本条件 ,高新技术园区难以形成 ,创新环境不完善 ,即便是已经建立起来的园区 ,也难以得到真正的发展。由此决定了建设高新技术园区必须重视对园区社会创新环境的研究 ,通过精心培育创新环境 ,推动我国高新技术园区在 2 1世纪得到健康、持续的发展。     

Führung durch Selbstführung

This paper outlines the conceptual bases, strategies, and psychological attributes of leadership by self-leadership. In addition, relations to other theories of leadership are drawn. Dimensions and correlates of self-leadership competence are described and discussed. Various approaches for developing self-leadership competence are discussed as well.     

Computing maximum likelihood estimates from type II doubly censored exponential data

It is well-known that, under Type II double censoring, the maximum likelihood (ML) estimators of the location and scale parameters, θ and δ, of a twoparameter exponential distribution are linear functions of the order statistics. In contrast, when θ is known, theML estimator of δ does not admit a closed form expression. It is shown, however, that theML estimator of the scale parameter exists and is unique. Moreover, it has good large-sample properties. In addition, sharp lower and upper bounds for this estimator are provided, which can serve as starting points for iterative interpolation methods such as regula falsi. Explicit expressions for the expected Fisher information and Cramér-Rao lower bound are also derived. In the Bayesian context, assuming an inverted gamma prior on δ, the uniqueness, boundedness and asymptotics of the highest posterior density estimator of δ can be deduced in a similar way. Finally, an illustrative example is included.     

我国就业制度的演变及其对妇女发展的影响

文章着重研究不同的就业制度对妇女发展的深刻影响 ,阐述就业制度的选择与男女平等观念实现的关系 ,以期能为当前就业政策的制定提供一些理论思考     

Type I error rates from likelihood‐based repeated measures analyses of incomplete longitudinal data

The last observation carried forward (LOCF) approach is commonly utilized to handle missing values in the primary analysis of clinical trials. However, recent evidence suggests that likelihood‐based analyses developed under the missing at random (MAR) framework are sensible alternatives. The objective of this study was to assess the Type I error rates from a likelihood‐based MAR approach – mixed‐model repeated measures (MMRM) – compared with LOCF when estimating treatment contrasts for mean change from baseline to endpoint (Δ). Data emulating neuropsychiatric clinical trials were simulated in a 4 × 4 factorial arrangement of scenarios, using four patterns of mean changes over time and four strategies for deleting data to generate subject dropout via an MAR mechanism. In data with no dropout, estimates of Δ and SE_Δ from MMRM and LOCF were identical. In data with dropout, the Type I error rates (averaged across all scenarios) for MMRM and LOCF were 5.49% and 16.76%, respectively. In 11 of the 16 scenarios, the Type I error rate from MMRM was at least 1.00% closer to the expected rate of 5.00% than the corresponding rate from LOCF. In no scenario did LOCF yield a Type I error rate that was at least 1.00% closer to the expected rate than the corresponding rate from MMRM. The average estimate of SE_Δ from MMRM was greater in data with dropout than in complete data, whereas the average estimate of SE_Δ from LOCF was smaller in data with dropout than in complete data, suggesting that standard errors from MMRM better reflected the uncertainty in the data. The results from this investigation support those from previous studies, which found that MMRM provided reasonable control of Type I error even in the presence of MNAR missingness. No universally best approach to analysis of longitudinal data exists. However, likelihood‐based MAR approaches have been shown to perform well in a variety of situations and are a sensible alternative to the LOCF approach. MNAR methods can be used within a sensitivity analysis framework to test the potential presence and impact of MNAR data, thereby assessing robustness of results from an MAR method. Copyright © 2004 John Wiley & Sons, Ltd.     

Non-ignorable missing covariate data in survival analysis: a case-study of an International Breast Cancer Study Group trial

Summary.  Non-ignorable missing data, a serious problem in both clinical trials and observational studies, can lead to biased inferences. Quality-of-life measures have become increasingly popular in clinical trials. However, these measures are often incompletely observed, and investigators may suspect that missing quality-of-life data are likely to be non-ignorable. Although several recent references have addressed missing covariates in survival analysis, they all required the assumption that missingness is at random or that all covariates are discrete. We present a method for estimating the parameters in the Cox proportional hazards model when missing covariates may be non-ignorable and continuous or discrete. Our method is useful in reducing the bias and improving efficiency in the presence of missing data. The methodology clearly specifies assumptions about the missing data mechanism and, through sensitivity analysis, helps investigators to understand the potential effect of missing data on study results.     

A class of count models and a new consistent test for the Poisson distribution

We define a class of count distributions which includes the Poisson as well as many alternative count models. Then the empirical probability generating function is utilized to construct a test for the Poisson distribution, which is consistent against this class of alternatives. The limit distribution of the test statistic is derived in case of a general underlying distribution, and efficiency considerations are addressed. A simulation study indicates that the new test is comparable in performance to more complicated omnibus tests.     

赫胥黎的完全人教育论

本文较系统地介绍和分析了赫胥黎关于完全人的教育理论 ,认为赫氏的完全人理论的核心就是强调科学教育与人文教育的结合 ,从而达到科学精神与人文精神在个体心灵上的融合。文章的最后分析了赫胥黎培养完全人的方法 ,这对于今天我国的高等学校的教学改革具有重要的启发意义