对社会工作的现状调查与分析——以绍兴市为例

对绍兴139名社会工作的管理和从业人员进行了调查,发现绍兴市社会工作存在人才数量不够、素质不高、结构不合理,社会管理中介组织发展缓慢以及管理政策不配套等三个方面的主要问题。为加强社会工作,应从加强组织领导、健全各项机制、培育民间组织、加强宣传引导等四个方面入手。     

在应对入世后我国农业面临的挑战中分析测试技术和科学仪器担负的重任

本文概叙了入世后中国农业面临的农产品品质 安全性及价格的三重冲击和应采取的应对措施 着重分析了农产品安全问题和食品安全保障体系的构建 论述了分析测试技术和科学仪器的七项重任     

我国法定兽用中药的元素分析(一报续)

在被测的368味中药中,各元素的最大值分别是胆矾(Cu)、鹤虱(Fe)、荷叶(Zn)、蜈蚣(Ca)、枳实(Mg)、龟板(P)、阿胶(K)、大青盐(Na)、一枝黄花(Li)、茵陈(Se),最小值分别是菟丝子(Cu)、红豆蔻(Fe)、玄明粉(Mn)、蟾酥(Zn)、玄参(Ca)、五加皮(Mg)、明矾等(P)、磁石、苏木(K)、枇杷叶、当归(Na)、赭石等(Li)、白附子等(Se)。2.2 中药各元素平均含量占11种被测元素均值总和的百分率分别是P36.56、K29.51、Ca20.18、Na8.37、Fe2.61、Zn1.35、Mg0.48、Cu0.38、Mn0.37、Li0.17、Se0.00038。     

福建省新型工业化基础评价与比较分析

我们建立一套能够比较全面地反映一个地区新型工业化基础的评价指标体系,利用2002、2003年的统计数据,运用主成分分析法对包括福建省在内的我国26个省、市、自治区的新型工业化基础进行评价,从信息化程度、工业化程度、科技含量、经济效益、可持续发展等方面将福建省与其他省市进行比较分析,明确福建省的优势与不足,在此基础上提出福建省在推进新型工业化进程中应注意的问题。     

Task partitioning in new product development teams: A knowledge and learning perspective

R&D alliances and outsourcing elements of the new product development process are now commonplace practices among many firms. However, little previous work has examined how these organizational choices influence project knowledge and learning. Based on a comparison of three new product development projects in the software industry, this paper examines how task partitioning in the project influences learning and knowledge development within the firm. The paper suggests that internal development projects encourage synthetic learning and development of architectural and tacit knowledge; in contrast, outsourcing and joint ventures encourage analytic learning and development of component and explicit knowledge.     

《南开管理评论》1998年-2002年引文分析研究

本文采用引文分析方法对《南开管理评论》1998年-2002年所发表的论文的引文进行了统计分析,从引文量、引文语种、引文类型、引文年代、引文期刊、引文著者等几个方面做了综合评价,其目的是从文献引证的角度来透视该刊的学术水平和期刊质量,并从中寻求一些带有规律性的结论,为期刊的编辑出版提供一些参考。     

Treatment Choice With Trial Data: Statistical Decision Theory Should Supplant Hypothesis Testing

Abstract

A central objective of empirical research on treatment response is to inform treatment choice. Unfortunately, researchers commonly use concepts of statistical inference whose foundations are distant from the problem of treatment choice. It has been particularly common to use hypothesis tests to compare treatments. Wald’s development of statistical decision theory provides a coherent frequentist framework for use of sample data on treatment response to make treatment decisions. A body of recent research applies statistical decision theory to characterize uniformly satisfactory treatment choices, in the sense of maximum loss relative to optimal decisions (also known as maximum regret). This article describes the basic ideas and findings, which provide an appealing practical alternative to use of hypothesis tests. For simplicity, the article focuses on medical treatment with evidence from classical randomized clinical trials. The ideas apply generally, encompassing use of observational data and treatment choice in nonmedical contexts.     

Point Estimates of Test Sensitivity and Specificity from Sample Means and Variances

In a wide variety of biomedical and clinical research studies, sample statistics from diagnostic marker measurements are presented as a means of distinguishing between two populations, such as with and without disease. Intuitively, a larger difference between the mean values of a marker for the two populations, and a smaller spread of values within each population, should lead to more reliable classification rules based on this marker. We formalize this intuitive notion by deriving practical, new, closed-form expressions for the sensitivity and specificity of three different discriminant tests defined in terms of the sample means and standard deviations of diagnostic marker measurements. The three discriminant tests evaluated are based, respectively, on the Euclidean distance and the Mahalanobis distance between means, and a likelihood ratio analysis. Expressions for the effects of measurement error are also presented. Our final expressions assume that the diagnostic markers follow independent normal distributions for the two populations, although it will be clear that other known distributions may be similarly analyzed. We then discuss applications drawn from the medical literature, although the formalism is clearly not restricted to that application.     

论社会企业的合法性

社会企业的组织形态与现行法律体系格格不入,产品受到公众质疑,定位受限于一线城市,导致在法规合法性、道德合法性与认知合法性等方面面临难题,并进而影响社会企业的经济效益与社会效益。鉴于此,唯有通过主动地适应或选择、改变或创造环境才能化解这一难题。     

Self-validated Computations for the Probabilities of the Central Bivariate Chi-square Distribution and a Bivariate F Distribution. This work partially supported by National Science Foundation grant DMS-9500831

Self-validated computations using interval analysis produce results with a guaranteed error bound. This article presents methods for self-validated computation of probabilities and percentile points of the bivariate chi-square distribution and a bivariate F distribution. For the computation of critical points (c ₁,c ₂) in the equation P(Y ₁ @ c ₁, Y ₂ ≤ c ₂) = 1 ? α, the case c ₁ = c ₂ is considered. A combination of interval secant and bisection algorithms is developed for finding enclosures of the percentile points of the distribution. Results are compared to previously published tables.