湖南省科技人力资源现状与使用分析

对湖南科技人力资源的分析 ;分为三个基本层次进行 :一是全省专业技术人员总量 ;二是科技活动人员情况 ;三是R&D人才资源。分别从人员的分布、结构、密度、质量以及人才使用效益等方面进行分析。     

Making ends meet: perceptions of poverty in Sweden

During the era after the Second World War, Sweden has built a welfare system based on labor market participation and income maintenance. Low unemployment and decent wages are supposed to guarantee people a labor market income or income maintenance, which in turn should provide a proper standard for everyone. However, a rapid increase in unemployment and economic problems have made the future of the Swedish welfare state more uncertain than ever. These circumstances have, among other things, led to the suggestion that Sweden should abandon the income maintenance policy and create a social policy system with the more limited ambition of guaranteeing everyone a minimum income. In that case, one central question must be answered: what constitutes a decent minimum income in today's Sweden? Where should we draw the poverty line under which people will not be forced to live? These questions are central in the current debate. The consensual poverty line method is used in this article to derive a poverty line relevant for today's Sweden. The results shows that more than every fifth household has an income below the consensual poverty line. That is, they have an income that most Swedes would argue is too low to make ends meet. The level of the consensual poverty line was compared with the National Board of Health and Welfare's guidelines for social assistance. The consensual poverty line was shown to be more generous to small households and the norm for social assistance was more generous to larger households. Finally, the expenditure for guaranteeing all Swedish household a minimum income equal to the consensual poverty line was estimated: more than SEK 25 billion per year. The results in the article casts serious doubt on the ability of the Swedish welfare state to secure a decent income to all citizens.     

A modified false discovery rate multiple-comparisons procedure for discrete data, applied to human immunodeficiency virus genetics

Summary.  To help to design vaccines for acquired immune deficiency syndrome that protect broadly against many genetic variants of the human immunodeficiency virus, the mutation rates at 118 positions in HIV amino-acid sequences of subtype C versus those of subtype B were compared. The false discovery rate (FDR) multiple-comparisons procedure can be used to determine statistical significance. When the test statistics have discrete distributions, the FDR procedure can be made more powerful by a simple modification. The paper develops a modified FDR procedure for discrete data and applies it to the human immunodeficiency virus data. The new procedure detects 15 positions with significantly different mutation rates compared with 11 that are detected by the original FDR method. Simulations delineate conditions under which the modified FDR procedure confers large gains in power over the original technique. In general FDR adjustment methods can be improved for discrete data by incorporating the modification proposed.     

A circular-cone test for testing homogeneity against a simple tree order

Several methods exist for the problem of testing the equality of several treatments against the one-sided alternative that the treatments are better than the control. These methods include Dunnett's test, Bartholomew's likelihood-ratio test, the Abelson-Tukey-Schaafsma-Smid optimal-contrast test, and the multiple-contrast test of Mukerjee, Robertson, and Wright. A new test is proposed based on an approximation of the likelihood-ratio test of Bartholomew. This test involves using a circular cone in place of the alternative-hypothesis cone. The circular-cone test has excellent power characteristics similar to those of Bartholomew's test. Moreover, it has the advantages of being simpler to compute and may be used with unequal sample sizes.     

Bayesian analysis of outlier problems using divergence measures

A Bayesian approach is presented for detecting influential observations using general divergence measures on the posterior distributions. A sampling-based approach using a Gibbs or Metropolis-within-Gibbs method is used to compute the posterior divergence measures. Four specific measures are proposed, which convey the effects of a single observation or covariate on the posterior. The technique is applied to a generalized linear model with binary response data, an overdispersed model and a nonlinear model. An asymptotic approximation using Laplace method to obtain the posterior divergence is also briefly discussed.     

Modelling map positional error to infer true feature location

The authors consider the issue of map positional error, or the difference between location as represented in a spatial database (i.e., a map) and the corresponding unobservable true location. They propose a fully model‐based approach that incorporates aspects of the map registration process commonly performed by users of geographic informations systems, including rubber‐sheeting. They explain how estimates of positional error can be obtained, hence estimates of true location. They show that with multiple maps of varying accuracy along with ground truthing data, suitable model averaging offers a strategy for using all of the maps to learn about true location.     

意义推导模式

意义推导模式即代码(或信码)模式、推理模式和明示—推理模式。代码模式几乎完全排斥了语境的作用、交际主体及其在表达思想时对语言运用的灵活性和多面性;推理模式是随着人们对意义认识的加深和语用学的诞生而提出来的,其重心是对暗含的推导。关联理论汲取了推理模式(甚至代码模式)的优点,又加上了明示一词,提出了明示—推理模式,其意义的推导涵盖了明说和暗含。     

Maximum Likelihood Inference for Log-linear Models Subject to Constraints of Double Monotone Dependence

To model an hypothesis of double monotone dependence between two ordinal categorical variables A and B usually a set of symmetric odds ratios defined on the joint probability function is subject to linear inequality constraints. Conversely in this paper two sets of asymmetric odds ratios defined, respectively, on the conditional distributions of A given B and on the conditional distributions of B given A are subject to linear inequality constraints. If the joint probabilities are parameterized by a saturated log-linear model, these constraints are nonlinear inequality constraints on the log-linear parameters. The problem here considered is a non-standard one both for the presence of nonlinear inequality constraints and for the fact that the number of these constraints is greater than the number of the parameters of the saturated log-linear model.This work has been supported by the COFIN 2002 project, references 2002133957_002, 2002133957_004. Preliminary findings have been presented at SIS (Società Italiana di Statistica) Annual Meeting, Bari, 2004.     

在线评论的行为影响与价值应用研究综述

随着社交网络的发展,大量用户生成的在线评论影响着消费者的行为,同时被应用于企业的经营管理活动,引起市场营销、信息系统、产品开发等领域学者们的广泛关注,取得很大的研究进展。但是在线评论的研究范围广泛,目前并没有系统性的概念框架,缺乏对在线评论的全局认识。因此,本文尝试从行为影响和价值应用两个层面对在线评论研究文献进行全面总结,并结合当前的技术发展和市场环境,探讨在线评论研究的未来趋势。     

企业社会责任对供应链减排决策及政府补贴效率的影响研究

为了探讨零售商企业社会责任(CSR)对供应链减排决策及政府补贴效率的影响,构建了包含政府决策者的三阶段博弈模型。通过对均衡结果的分析表明：(1)随着零售商CSR实施水平的增强,制造商的减排程度、制造商的利润和社会福利将提高,但对零售商的利润和供应链整体利润的影响还取决于制造商减排努力系数的大小。(2)政府补贴可以提高制造商的减排程度和渠道成员的利润。而零售商CSR实施水平的增强能够改善政府单位补贴效率,使得政府补贴促进制造商减排和利润提升的效果更显著。当零售商CSR实施水平较低时,CSR实施水平的增强同样会导致政府补贴对零售商利润的提升效果更为显著。此外,本文设计了一种二部定价-成本分担契约,证明了该契约可以实现供应链协调。在此基础上,将研究扩展到制造商实施CSR的情形及政府新目标的情形,通过理论及数值分析,详细探讨了CSR行为对供应链减排决策的影响,为政府及低碳供应链的相关决策提供参考。