Challenges to Connecting Sociology and Service Learning

Service-learning programs are not free from challenges brought about by lack of financial support, lack of widespread commitment from professors, community agencies, and recipients of service, and lack of knowledge and insight in students directly involved in such programs. While service-learning initiatives and programs serve positive functions for organizations and individuals, rhetorical accolades for service learning can distort or omit the realities of program implementation and sustained delivery. This paper specifically explores the following challenges connected to service-learning programs: (1) pedagogical difficulties; (2) student limitations; (3) time constraints; and (4) community cooperation.     

Netzwerken: Reflexionen und Erfahrungen am Beispiel eines TrainerInnen und BeraterInnen-Netzwerkes

How are social networks organized and how much structure and openess do they have? The ambiguity of networking and the grade of organization are discussed and described theoretically and with an authentic example.     

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     

Simple detection of outlying short time series

Sets of relatively short time series arise in many situations. One aspect of their analysis may be the detection of outlying series. We examine the performance of standard normal outlier tests applied to the means, or to simple functions of the means, of AR(1) series, not necessarily of equal lengths. Although unequal lengths of series implies that the means have unequal variances, that are only known approximately, it is shown that nominal significance levels hold good under most circumstances. Thus a standard outlier test can usefully be applied, avoiding the complication of estimating the time series' parameters. The test's power is affected by unequal lengths, being higher when the slippage occurs in one of the longer series     

Bayesian analysis of mixture modelling using the multivariate t distribution

A finite mixture model using the multivariate t distribution has been shown as a robust extension of normal mixtures. In this paper, we present a Bayesian approach for inference about parameters of t-mixture models. The specifications of prior distributions are weakly informative to avoid causing nonintegrable posterior distributions. We present two efficient EM-type algorithms for computing the joint posterior mode with the observed data and an incomplete future vector as the sample. Markov chain Monte Carlo sampling schemes are also developed to obtain the target posterior distribution of parameters. The advantages of Bayesian approach over the maximum likelihood method are demonstrated via a set of real data.     

Inference for the measurement of poverty in the presence of a stochastic weighting variable

Empirical applications of poverty measurement often have to deal with a stochastic weighting variable such as household size. Within the framework of a bivariate distribution function defined over income and weight, I derive the limiting distributions of the decomposable poverty measures and of the ordinates of stochastic dominance curves. The poverty line is allowed to depend on the income distribution. It is shown how the results can be used to test hypotheses concerning changes in poverty. The inference procedures are briefly illustrated using Belgian data. An erratum to this article can be found at