构建无缝隙社会管理系统——基于北京市朝阳区的实证研究

当前,加强和创新社会管理已经成为各级政府亟待探索的一项重要课题。北京市朝阳区基于无缝隙政府理念,在网格化管理的基础上,通过实施系统整合和信息集成,同时推进流程再造、绩效评价、合作治理和诚信管理,构建了一种跨部门、跨业务、全覆盖的新型社会管理系统,在提升政府回应性、拓展社会协作、改进管理效能方面取得了显著效果。     

校园警察制度建设问题研究

校园安全是社会关注的焦点和公安机关的防范重点。在事故多发区,校园警察已经上岗执勤,但是适应新形势的校园警察制度建设尚处于起步阶段。我国校园警察制度建设应根据依法治国的要求,借鉴世界先进国家的成功经验,通过完善立法、创设警种、增加权限、利用社会资源等多种渠道,实现对校园安全的有效保障。     

我国警察高等教育可拓特点与协同发展模式

本文基于我国警察高等教育改革与创新的研究实际,从理论与实践、学科与行业、专业与能力以及知识与经验的多属性角度,指出了目前警察高等教育存在的问题,提出了基于可拓知识的协同高等教育模式。运用系统理论、行为科学和社会选择理论,结合现代高等教育研究中具有可实现意义的理论和方法,对警察高等教育协同发展模式的基本框架、理论体系和实践过程进行了研究。结果表明：高等教育协同模式是学科与行业的协同、专业与职业能力的协同、教与学的协同。     

教师胜任力影响因素及提升策略研究

教师的胜任力因教师职业成熟度的不同、层次的不同而有所区别,并随着时间、经验、知识的更新和积累而发生胜任力重点的转移。通过动态系统的考察,能全面、透彻地理解教师胜任力结构以及进行有效的胜任力提升。从动态的角度可构建三层三维胜任力模型,探索对教师胜任力有针对性的、实用的培训干预及提升策略     

基于因子分析的高校共青网站综合评价模型设计与实证调查

高校共青团网站本质是高校共青团组织意识形态工作的载体,高校共青团组织要第一时间占领网络舆论宣传阵地制高点。文章从高校共青团工作职能和网站功能出发,构建高校共青团网站综合评价模型,根据调查,运用因子分析法将各高校团属网站发展水平定位为高度成熟、成熟、发展建设和起步四个阶段,提出高校共青团网站建设新思路,分类引导高校共青团网站建设。     

Impact Spatter Bloodstain Patterns on Textiles

There are few reports of studies of impact spatter on textiles even though bloodstained textiles are found at many violent scenes. Impact spatter was deposited at 90° impact angle onto three knit fabrics of different yarn sizes and on paper. The resulting stain areas and number of stains were measured using ImageJ and compared with stains on paper using one‐factor ANOVA. The number of stains observed and their areas on the knit fabrics decreased as the yarn size increased. It was also found that blood that deposited on the fabric wicked only in the direction of the fibers at that location within the fabric which led to distorted stain shapes. Fewer observed impact spatter stains were found on cotton jersey knits for fabrics made with larger yarns than on paper. As the yarn size became smaller, the number of stains became the same as on paper.     

HOW COLLECTIVE IS COLLECTIVE EFFICACY? THE IMPORTANCE OF CONSENSUS IN JUDGMENTS ABOUT COMMUNITY COHESION AND WILLINGNESS TO INTERVENE

Existing studies have generally measured collective efficacy by combining survey respondents’ ratings of their local area into an overall summary for each neighborhood. Naturally, this approach results in a substantive focus on the variation in average levels of collective efficacy between neighborhoods. In this article, we focus on the variation in consensus of collective efficacy judgments. To account for differential consensus among neighborhoods, we use a mixed‐effects location‐scale model, with variability in the consensus of judgments treated as an additional neighborhood‐level random effect. Our results show that neighborhoods in London differ, not just in their average levels of collective efficacy but also in the extent to which residents agree with one another in their assessments. In accord with findings for U.S. cities, our results show that consensus in collective efficacy assessments is affected by the ethnic composition of neighborhoods. Additionally, we show that heterogeneity in collective efficacy assessments is consequential, with higher levels of criminal victimization, worry about crime, and risk avoidance behavior in areas where collective efficacy consensus is low.     

人体内血醇浓度变化及其影响因素分析

目的探索饮酒后人体内血醇浓度(BAC)变化及其影响因素,建立BAC代谢的数学模型。方法采用顶空气相色谱氢火焰离子化检测器和内标曲线法测量酒后人体内的BAC,利用SPSS20.0和R软件对数据进行相关性分析并建立数学模型。结果女性的平均BAC消除速率为9.54mg/100m L/h,男性的平均BAC消除速率为12.19mg/100m L/h,女性消除速率小于男性,并且BAC消除速率与性别中等相关,与体重强相关,与年龄无关。通过构建混合效应模型可以准确的预测BAC,该模型的平均绝对误差(MAE)为1.60mg/100m L,其次利用决策树分析数据,其MAE为9.99mg/100m L。结论饮酒后人体内BAC消除速率与性别、体重有关,通过时间、饮酒量、性别、体重建立混合效应模型可以准确推断BAC。     

Cyberbullying Among Chilean Students and the Protective Effects of Positive School Communities

Cyberbullying is a type of bullying that involves the use of technology to harm other students. Most researchers have examined individual-level characteristics, but the perception of school climate and school characteristics such as type, size, and level of vulnerabilities have not been considered using multilevel methods. Using a sample of 8,237 Chilean seventh graders from 1,322 schools we examined individual- and school-level predictors of cyberbullying perpetration. Cyberbullying perpetration was predicted by prior victimization, interpersonal relationships, and gender. We found an interaction effect between interpersonal relationships and teacher support for victims. Our findings support the notion that school policies and culture can play a vital role in the prevention of cyberbullying, supporting a protective resilience model.