Who by Accident? The Social Morphology of Car Accidents

Prior studies in the sociology of accidents have shown that different social groups have different rates of accident involvement. This study extends those studies by implementing Bourdieu's relational perspective of social space to systematically explore the homology between drivers’ social characteristics and their involvement in specific types of motor vehicle accident. Using a large database that merges official Israeli road‐accident records with socioeconomic data from two censuses, this research maps the social order of road accidents through multiple correspondence analysis. Extending prior studies, the results show that different social groups indeed tend to be involved in motor vehicle accidents of different types and severity. For example, we find that drivers from low socioeconomic backgrounds are overinvolved in severe accidents with fatal outcomes. The new findings reported here shed light on the social regularity of road accidents and expose new facets in the social organization of death.     

Bayesian predictive densities based on latent information priors

Construction methods for prior densities are investigated from a predictive viewpoint. Predictive densities for future observables are constructed by using observed data. The simultaneous distribution of future observables and observed data is assumed to belong to a parametric submodel of a multinomial model. Future observables and data are possibly dependent. The discrepancy of a predictive density to the true conditional density of future observables given observed data is evaluated by the Kullback-Leibler divergence. It is proved that limits of Bayesian predictive densities form an essentially complete class. Latent information priors are defined as priors maximizing the conditional mutual information between the parameter and the future observables given the observed data. Minimax predictive densities are constructed as limits of Bayesian predictive densities based on prior sequences converging to the latent information priors.     

南方的错位：福克纳与莫里森小说的族裔身份解读

文章试图从流散的角度分析福克纳和莫里森作品的关联性,结果发现19世纪末的南方黑人大迁徙促成了黑人和白人进一步地混居和种族转换.在种族冲突剧烈的南方,隐藏着黑人和白人在潜意识中逐渐向对方转变的过程.二人的作品全景地反映了南方种族、身份、阶级和文化的复杂错位.     

Parameter estimation in nonlinear regression models 1

Fisher information contained in record values, inter-record times and their concomitants from a sample of fixed size is derived in general and explicit expressions are deduced for some specific known bivariate classes of distributions. A comparison between fixed sampling and inverse sampling schemes with equal number of records and concomitants is also carried out. We also consider parameter estimation based on bivariate records and a small simulation study is done.     

加强班集体建设 开创校园文化建设新途径

班集体的建设是校园文化建设中的重要环节.通过实践以班集体为载体进行校园文化建设,总结了一条校园文化建设的创新之路.     

Global Robustness with Respect to the Loss Function and the Prior

We propose a class [I,S] of loss functions for modeling the imprecise preferences of the decision maker in Bayesian Decision Theory. This class is built upon two extreme loss functions I and S which reflect the limited information about the loss function. We give an approximation of the set of Bayes actions for every loss function in [I,S] and every prior in a mixture class; if the decision space is a subset of , we obtain the exact set.     

校企联合培养工程应用型人才探索

首届康尼工程实践强化班是高等院校和现代企业为共同培养高级应用型技术人才而诞生的产物 ,它充分发挥校企合作的优势 ,资源互补 ,在如何培养工科大学生的工程实践动手能力以及掌握应用新技术手段方面进行了有益的尝试 ,力图实现理论与实践的有机结合     

一种高性能目标识别融合算法

考虑到目标类型数和传感器扫描次数对识别的影响，提出了一种改进的多传感器多目标识别相关算法，导出了新的累积融合公式。对多传感器多目标识别融合作了计算机模拟，模拟结果证实了改进的算法在性能上有明显的提高。     

中等收入阶层视野中的民主与宪政

现代化的群体位序的确立和强大中等收入阶层的培育,有利于现代化进程,有利于向上流动,而人们经过自己的努力获得上升的通道,就是民主制度的建立和宪政法治理念的确立,也就是每个个体的幸福应该尽可能地获得很好的制度保证。我们渴望的宪政将有赖于公平价值的建立、对相关利益群体或者阶层的关顾和宪法制度的创新,因为中等收入阶层是法治民主的最坚定的保卫者,而宪政法治又能保卫保卫者。     

中外大学生课外活动比较研究

规范的大学课外教育是培养学生全面发展的有效手段,文章对中外大学课外教育在时间、资金、技术、管理主体等方面的差异进行了分析,并提出了运用学分制规范化等建议,以引起教育管理者的重视。