Effect of insult upon personal space preferences

After sixty male undergraduates individually were either insulted or not insulted by the experimenter, each was tested for body-buffer zone (the physical distance between themselves and an approaching person at which they first reported being uncomfortable) by either the experimenter or an assistant. The body-buffer zones of the insulted subjects were larger when tested by the experimenter than when tested by his assistant; but for those not insulted, there were no differences in body-buffer zone produced by the identity of the tester. The results are discussed in terms of the interaction between affect and interpersonal proxemics.This project was facilitated by the senior author's Margaret Bosshardt Pace and Paul David Pace Research Fellowship.     

Increasing effectiveness of modeling

Modeling is the essence of the operations research study. Yet with the exception of rare instances does the model of the study realize its full potential benefits in the business world. In this treatise an attempt is made to familiarize the business world with the types of models that exist including their operational and functional attributes. In order to increase the model and or study effectiveness the essential elements in performance are expounded to illustrate the comprehensiveness required. In conclusion, the recognition that modeling is not a utopia and that many pitfalls exist is explored with recommendations made to diminish or eliminate the negative impact of these shortcomings.     

The European 'Welfare Mix': Institutional Configuration and Distributive Outcome in Sweden and the European Union. A Longitudinal and Comparative Perspective

This paper explores the institutional configuration (the three welfare delivery systems: market, welfare state, family) and its distributional correlates (income inequality; poverty rates; inequality related to social cleavages such as social class, generation, gender, region and family). The analysis has a twofold perspective: comparative (comparing 14 EU member states) and longitudinal (comparing Sweden 1975--1995), using nations as statistical units. The European union appears to be divided in three distinct and homogeneous clusters: a Nordic cluster (Sweden, Denmark, Finland) exhibiting large social expenses, high labour market participation and weak family ties. Its distributional features are low income inequality, poverty rates and class inequality, but high levels of inequality between generations; a southern cluster (Greece, Italy, Spain, Portugal) characterised by lower welfare provisions, low employment, but strong traditional families. Its distributional features are high levels of income inequality, poverty and class inequality, but low levels of generational inequality; a central European cluster in intermediate position. UK joins the southern cluster with high levels of income inequality, poverty and class inequality.     

On stratified bivariate ranked set sampling for regression estimators

We investigate the relative performance of stratified bivariate ranked set sampling (SBVRSS), with respect to stratified simple random sampling (SSRS) for estimating the population mean with regression methods. The mean and variance of the proposed estimators are derived with the mean being shown to be unbiased. We perform a simulation study to compare the relative efficiency of SBVRSS to SSRS under various data-generating scenarios. We also compare the two sampling schemes on a real data set from trauma victims in a hospital setting. The results of our simulation study and the real data illustration indicate that using SBVRSS for regression estimation provides more efficiency than SSRS in most cases.     

数据驱动的电子健康服务管理研究：挑战与展望

 电子健康的产生和发展为解决现阶段医疗资源的紧缺和分配不均、医患关系紧张等问题提供了新的途径,同时也带来了新的问题和挑战,而当前关于该方向的基础理论和方法尚不完善,亟待研究者和实践者的关注和探索。结合国内外研究现状,对电子健康服务包含的4个主要方向(即健康大数据分析、基于数据的健康评估和疾病预警、服务管理和价值创造、服务管理实践)进行回顾和梳理,并对中国的研究和实践现状进行详细分析。        基于数据驱动的电子健康服务管理的实践和研究现状,对当前研究中存在的问题进行分析和总结,主要包括由于健康数据的多源性导致的信息管理问题、多参与方导致的服务管理问题和管理实践问题。在此基础上提出健康大数据分析方法、数据驱动的健康评估和疾病预警、基于大数据的电子健康服务过程和管理机制研究、基于大数据的电子健康可持续性价值创造机理研究和管理实践研究5个未来研究方向,健康大数据分析方法包括有偏样本数据检验和矫正方法、纵向研究中健康大数据分析方法、中文医疗信息处理,数据驱动的健康评估和疾病预警包括基于电子病历和移动医疗的个人健康评估和疾病预警、基于电子病历和社交媒体的群体疾病监测和预警,基于大数据的电子健康服务过程和管理机制研究包括用户决策、服务传递和服务管理,基于大数据的电子健康可持续性价值创造机理研究包括用户持续使用、反馈有效性,为今后的电子健康相关研究提供理论和实践指导。