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。     

Spatial variation in soil inorganic nitrogen across an arid urban ecosystem

We explored variations in inorganic soil nitrogen (N) concentrations across metropolitan Phoenix, Arizona, and the surrounding desert using a probability-based synoptic survey. Data were examined using spatial statistics on the entire region, as well as for the desert and urban sites separately. Concentrations of both NO₃-N and NH₄-N were markedly higher and more heterogeneous amongst urban compared to desert soils. Regional variation in soil NO₃-N concentration was best explained by latitude, land use history, population density, along with percent cover of impervious surfaces and lawn, whereas soil NH₄-N concentrations were related to only latitude and population density. Within the urban area, patterns in both soil NO₃-N and NH₄-N were best predicted by elevation, population density and type of irrigation in the surrounding neighborhood. Spatial autocorrelation of soil NO₃-N concentrations explained 49% of variation among desert sites but was absent between urban sites. We suggest that inorganic soil N concentrations are controlled by a number of ‘local’ or ‘neighborhood’ human-related drivers in the city, rather than factors related to an urban-rural gradient.     

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     

Sample sizes for estimation in clinical research

A sample size justification should be given for all clinical investigations. However, sometimes the objective of a trial is to estimate an effect with a view to planning a later definitive study. This paper describes the calculations for designing studies where one wishes to adopt an estimation approach through using confidence intervals around the overall response. Calculations are given for data anticipated to take a Normal form. Copyright © 2004 John Wiley & Sons, Ltd.     

A Bayesian Adjustment for Covariate Misclassification with Correlated Binary Outcome Data

Estimated associations between an outcome variable and misclassified covariates tend to be biased when the methods of estimation that ignore the classification error are applied. Available methods to account for misclassification often require the use of a validation sample (i.e. a gold standard). In practice, however, such a gold standard may be unavailable or impractical. We propose a Bayesian approach to adjust for misclassification in a binary covariate in the random effect logistic model when a gold standard is not available. This Markov Chain Monte Carlo (MCMC) approach uses two imperfect measures of a dichotomous exposure under the assumptions of conditional independence and non-differential misclassification. A simulated numerical example and a real clinical example are given to illustrate the proposed approach. Our results suggest that the estimated log odds of inpatient care and the corresponding standard deviation are much larger in our proposed method compared with the models ignoring misclassification. Ignoring misclassification produces downwardly biased estimates and underestimate uncertainty.     

The Persistent Problem of Colorism: Skin Tone, Status, and Inequality

Colorism is a persistent problem for people of color in the USA. Colorism, or skin color stratification, is a process that privileges light-skinned people of color over dark in areas such as income, education, housing, and the marriage market. This essay describes the experiences of African Americans, Latinos, and Asian Americans with regard to skin color. Research demonstrates that light-skinned people have clear advantages in these areas, even when controlling for other background variables. However, dark-skinned people of color are typically regarded as more ethnically authentic or legitimate than light-skinned people. Colorism is directly related to the larger system of racism in the USA and around the world. The color complex is also exported around the globe, in part through US media images, and helps to sustain the multibillion-dollar skin bleaching and cosmetic surgery industries.