血沉、白细胞计数和C反应蛋白在糖尿病足评估中的作用

目的本文旨在评估炎性因子而对不同程度的糖尿病足病患者作出早期判断的策略。方法对68例不同程度的糖尿病足病患者入院分别进行血沉、白细胞计数和C反应蛋白的测定并作比较。结果 C反应蛋白在2级~4级的糖尿病足病患者中是最有价值的标记物,而血沉、白细胞计数无法预示其程度。结论在不同程度的糖尿病足病患者中C反应蛋白是一个有价值的预测因子。     

基于物联网的在线、智能调度方法的相关思考

物联网的飞速发展给生产调度系统带来了前所未有的机遇和挑战,数据的多源异构和连续涌入性、信息的透明性以及人、物料、设备、生产过程、产品等众多对象呈现出的连续动态存在性,这些新特征导致传统的调度优化方法难以适用。在已有研究的基础上,总结了物联网、调度优化方法以及基于情景的建模方法的研究现状和存在的问题,分析基于物联网的在线智能调度涉及到的问题及其特征,并提出其中的关键科学问题是基于情景的在线建模方法;提出该问题未来的研究目标为:针对物联网环境下调度对象状态的动态连续变化性,提供一种在线实时的智能优化调度方法,以最终实现调度优化过程的连续性以及调度优化决策的科学性、有效性和实用性;并详细阐述了未来关于基于情景的建模方法、基于情景的模型实时求解方法和基于情景的在线调度决策支持方法三方面的研究内容,为后续的深入研究做前期的思考和探索。     

An online copy number variant detection method for short sequencing reads

The availability of the next generation sequencing (NGS) technology in today's biomedical research has provided new opportunities in scientific discovery of genetic information. The high-throughput NGS technology, especially DNA-seq, is particularly useful in profiling a genome for the analysis of DNA copy number variants (CNVs). The read count (RC) data resulting from NGS technology are massive and information rich. How to exploit the RC data for accurate CNV detection has become a computational and statistical challenge. We provide a statistical online change point method to help detect CNVs in the sequencing RC data in this paper. This method uses the idea of online searching for change point (or breakpoint) with a Markov chain assumption on the breakpoints loci and an iterative computing process via a Bayesian framework. We illustrate that an online change-point detection method is particularly suitable for identifying CNVs in the RC data. The algorithm is applied to the publicly available NCI-H2347 lung cancer cell line sequencing reads data for locating the breakpoints. Extensive simulation studies have been carried out and results show the good behavior of the proposed algorithm. The algorithm is implemented in R and the codes are available upon request.     

Measures of Association and Visualization of Log Odds Ratio Structure for a Two Way Contingency Table

The odds ratio (OR) is a measure of association used for analysing an I × J contingency table. The total number of ORs to check grows with I and J. Several statistical methods have been developed for summarising them. These methods begin from two different starting points, the I × J contingency table and the two‐way table composed by the ORs. In this paper we focus our attention on the relationship between these methods and point out that, for an exhaustive analysis of association through log ORs, it is necessary to consider all the outcomes of these methods. We also introduce some new methodological and graphical features. In order to illustrate previously used methodologies, we consider a data table of the cross‐classification of the colour of eyes and hair of 5387 children from Scotland. We point out how, through the log OR analysis, it is possible to extract useful information about the association between variables.     

“America Will Not Tolerate Slave Traders”: Counter-Trafficking Policies and US Power

The US government has implemented an ambitious set of policies designed to combat human trafficking and sex trafficking in women and girls in particular. This article argues that anti-trafficking discourse and policy can be understood as a project to sustain and strengthen US power. This power has been wielded through the use of foreign aid, which influences the actions of both state and non-state actors overseas. Existing policies reinforce unilateralism and executive-branch dominance. Policymakers have also used gender strategically to moralize their actions and assert global leadership on this issue. Gender is thus deployed to serve US interests.     

Path to “Stardom” in Globally Distributed Hybrid Teams: An Examination of a Knowledge‐Centered Perspective using Social Network Analysis

Although distributed teams have been researched extensively in information systems and decision science disciplines, a review of the literature suggests that the dominant focus has been on understanding the factors affecting performance at the team level. There has however been an increasing recognition that specific individuals within such teams are often critical to the team's performance. Consequently, existing knowledge about such teams may be enhanced by examining the factors that affect the performance of individual team members. This study attempts to address this need by identifying individuals who emerge as “stars” in globally distributed teams involved in knowledge work such as information systems development (ISD). Specifically, the study takes a knowledge‐centered view in explaining which factors lead to “stardom” in such teams. Further, it adopts a social network approach consistent with the core principles of structural/relational analysis in developing and empirically validating the research model. Data from U.S.–Scandinavia self‐managed “hybrid” teams engaged in systems development were used to deductively test the proposed model. The overall study has several implications for group decision making: (i) the study focuses on stars within distributed teams, who play an important role in shaping group decision making, and emerge as a result of a negotiated/consensual decision making within egalitarian teams; (ii) an examination of emergent stars from the team members’ point of view reflects the collective acceptance and support dimension decision‐making contexts identified in prior literature; (iii) finally, the study suggests that the social network analysis technique using relational data can be a tool for a democratic decision‐making technique within groups.     

一致性分数阶优化灰色模型及其应用

传统的分数阶灰色预测模型在时间序列预测中具有较好的适应性和预测的有效性,但其累加和差分计算式比较复杂。一致性分数阶累加相对于一般的分数阶累加,形式更简单,更便于计算和理论推导。为了提高模型的适应性和预测能力,文章在CFGM(1,1)白化方程中引入一个新的可变系数,扩大了原有白化方程的适用范围,并在此基础上构建了一致性分数阶优化灰色模型,即CFOGM(1,1)模型。最优一致性分数阶阶数和可变系数通过PSO算法最小化平均相对误差获得。将构建的模型运用到两个实例中并与其他经典的灰色预测模型进行对比,结果表明所提出的模型具有较高的拟合和预测精度。     

基于MA S 的群决策支持系统研究

群决策支持系统(GDSS) 与传统的决策支持系统(DSS) 在体系结构和工作方式上有着较 大的差异. 在网络环境中, 组织的决策需要一种开放的GDSS 体系结构和协作的工作方式. 本 文提出一种基于MA S 的GDSS 体系结构, 以及在这种体系结构下的协同决策的模型. 在此基 础上开发了一个GDSS 的原型系统, 并对今后的研究方向进行了展望.     

《金瓶梅》叙事的"时间倒错"及其意义

中国古代章回小说在篇幅大体相似的情况下,或讲述百余年之事,或讲述数十年之事;有时一天之事用一回甚至几回讲述,有时数年之事几句话便一带而过.这种现象在叙述学理论中称之为"时间倒错".<金瓶梅>在"时间倒错"上的基本特征及其功能意义从时距、预叙、频率三个方面得到了具体的体现.     

群体性运动与"大跃进"

"大跃进"运动的发起,既有党的指导方针上的失误,也和运动发起的方式——公众群体性运动所固有的特性有着密切的关联。公众群体性运动的无意识、盲目性以及非理性等特性在"大跃进"运动中起着推波助澜的作用,把"大跃进"运动推向一个又一个高潮。