人学之维中个体美德伦理之化育路径

当今多元的文化与价值构筑起时代精神状况深蕴的语境背景,其真实的原像是人文价值、社会空间场域、资本逻辑交互存在场景中,人的存在样态通道的求索与指认。历史、空间、人机缘式交汇的相遇成为伦理样态化育的全新地平线,人以开放曲式向历史播撒着伦理的样态。历史凝结的伦理智慧始终是以累进性攀升的方式同时代景观场域交融,真实的伦理样态就是在各种场域的交叠共融中养育的,同时以特有的伦理景观呈现给社会。     

Information loss due to incomplete data from a spatial gaussian one-parameter first-order conditional process

Formulae are given for the Fisher information loss on parameters for the mean and the variance when some values of a Gaussian process are not observed. The special case of a one-parameter first-order conditional process on a rectangular lattice is considered in detail, and formulae are compared with numerical results.     

A fast general extension algorithm of Latin hypercube sampling

A fast general extension algorithm of Latin hypercube sampling (LHS) is proposed, which reduces the time consumption of basic general extension and preserves the most original sampling points. The extension algorithm starts with an original LHS of size m and constructs a new LHS of size m?+?n that remains the original points. This algorithm is the further research of basic general extension, which cost too much time to get the new LHS. During selecting the original sampling points to preserve, time consumption is cut from three aspects. The first measure of the proposed algorithm is to select isolated vertices and divide the adjacent matrix into blocks. Secondly, the relationship of original LHS structure and new LHS structure is discussed. Thirdly, the upper and lower bounds help reduce the time consumption. The proposed algorithm is applied for two functions to demonstrate the effectiveness.     

Bayesian modeling of dynamic extreme values: extension of generalized extreme value distributions with latent stochastic processes

This paper develops Bayesian inference of extreme value models with a flexible time-dependent latent structure. The generalized extreme value distribution is utilized to incorporate state variables that follow an autoregressive moving average (ARMA) process with Gumbel-distributed innovations. The time-dependent extreme value distribution is combined with heavy-tailed error terms. An efficient Markov chain Monte Carlo algorithm is proposed using a state-space representation with a finite mixture of normal distributions to approximate the Gumbel distribution. The methodology is illustrated by simulated data and two different sets of real data. Monthly minima of daily returns of stock price index, and monthly maxima of hourly electricity demand are fit to the proposed model and used for model comparison. Estimation results show the usefulness of the proposed model and methodology, and provide evidence that the latent autoregressive process and heavy-tailed errors play an important role to describe the monthly series of minimum stock returns and maximum electricity demand.     

和谐社会视域下志愿服务精神的研究

志愿服务精神是我国优良的传统美德。志愿服务精神的培育与发展是社会发展的风向标，是构建和谐社会的要求。在阐述志愿服务精神内涵的基础上，分析当前志愿服务活动中存在的问题．并从价值观引导、长效激励机制的建立等方面对如何培育志愿服务精神进行了探讨。     

关注女性、关爱女性、促进女大学生的健康成长——高职院校女大学生价值观调查分析

性别平等和女性发展是社会发展的重要组成部分，是衡量社会进步的重要尺度。本文试图通过高职女大学生价值观的现状调查和分析，为发掘女性的性别优势，强化她们自主创新的主体意识，提升其成才自信心，增强就业竞争力，提供一些思路和建议。     

Corporate Citizenship Enacted as Operating Practice

This paper explores values that underpin corporate citizenship embedded in operating practices as they affect stakeholders. Fundamentally, the paper argues that corporate citizenship is embedded integrally in the day-to-day operating practices that companies develop to relate to their important stakeholders. This systems perspective incorporates not only the objective but also subjective and intersubjective aspects of human civilization and arguably provides a systems basis for thinking about the roles and responsibilities of the corporation in society. This revised version was published online in July 2006 with corrections to the Cover Date.     

以科学发展观促大学生存困境与实践难题的破解

科学发展观学习实践活动的开展为大学深入思考和提升高等教育发展观提供了有利契机。当前,大学处于更为复杂的生存困境中,在其实践过程中也要面对许多两难问题。要实现大学自主传统与社会需求的协调发展,破解大学的生存困境与实践难题,就需要转变思维方式,以协同思维为导向,用相互关联的观点来协调大学在发展目标、价值观和知识观等方面遇到的冲突,在相互协调中实现大学和社会的和谐发展。     

On a Characterization of Generalized Pareto Distribution Based on Generalized Order Statistics

In recent years, several attempts have been made to characterize the generalized Pareto distribution (GPD) based on the properties of order statistics and record values. In the present article, we give a characterization result on GPD based on the spacing of generalized order statistics.