A Probabilistic Framework for Risk Analysis of Widespread Flood Events: A Proof‐of‐Concept Study

This article presents a flood risk analysis model that considers the spatially heterogeneous nature of flood events. The basic concept of this approach is to generate a large sample of flood events that can be regarded as temporal extrapolation of flood events. These are combined with cumulative flood impact indicators, such as building damages, to finally derive time series of damages for risk estimation. Therefore, a multivariate modeling procedure that is able to take into account the spatial characteristics of flooding, the regionalization method top‐kriging, and three different impact indicators are combined in a model chain. Eventually, the expected annual flood impact (e.g., expected annual damages) and the flood impact associated with a low probability of occurrence are determined for a study area. The risk model has the potential to augment the understanding of flood risk in a region and thereby contribute to enhanced risk management of, for example, risk analysts and policymakers or insurance companies. The modeling framework was successfully applied in a proof‐of‐concept exercise in Vorarlberg (Austria). The results of the case study show that risk analysis has to be based on spatially heterogeneous flood events in order to estimate flood risk adequately.     

Adherence to three different strategies to prevent early onset GBS infection in newborns

ProblemDespite the introduction of preventive guidelines, no decrease in the incidence of early onset infection was observed.BackgroundEarly onset group B streptococcal (EOGBS) infection is an important cause of neonatal morbidity and mortality.AimOur study was conducted to determine adherence to three guideline-based group B streptococcus (GBS) preventive strategies.MethodsA prospective experimental study clustered by obstetric collaboration region was performed between March 2013 and August 2014 among midwives, obstetricians and paediatricians in the Netherlands. At baseline, the three regions operated according to the Dutch preventive strategy (founded on the risk-based strategy) in order to prevent EOGBS infection, whereas in the study period they followed either the risk-based, the combination or the Dutch strategy. Adherence was measured prospectively per pregnant woman, using predefined core elements of each preventive strategy: identification of risk factors, maternal GBS screening, application of intrapartum antibiotic prophylaxis and observation of the child. Data about adherence to the core elements were collected from medical records, maternal questionnaires and laboratory test results.FindingsIn the three regions, a total of 121 care providers and 1562 women participated.We found an overall adherence of 90% to the risk-based strategy, 57% to the combination strategy and 89% to the Dutch strategy. Adherence to a strategy in case women had EOGBS risk factors was below 20% in all strategies.DiscussionThe majority of women with EOGBS risk factors did not receive the care prescribed by any of three preventive strategies and were not treated optimally.ConclusionThe risk-based and the Dutch strategy are the recommended strategies for implementation.     

微信时代风险信息的传播与感知——以山东“问题”疫苗事件为例

目前,以手机终端为依托的微信传播技术不仅给社会传播方式带来了前所未有的改变,而且给社会风险信息的传播获取以及公众对风险的感知与判断,甚至政府的风险决策与治理方式都带来了巨大的挑战.鉴于此,选取了比较典型的案例——山东“问题”疫苗事件作为探讨对象,结合相应的统计资料,深入分析了在此案例中微信传播呈现出的显著特征,即传播内容庞杂未见明显的“沉默螺旋”的显现,传播态度多元化但偏于激动,传播迅速集中但议题缺乏持续的关注.研究认为,正由于这样的传播特征加之疫苗风险本身的特征与个体的偏颇性解读,使公众对“问题”疫苗事件产生了强烈的风险感知,并在一定程度上造成了疫苗的污名化结果.因此建议微信时代一定要警惕媒介化的风险,风险沟通要在同理心的基础上进行,要引导公众对风险议题进行持续理性的关注等.     

关于高校中层副职干部几个基本问题的思考

高校中层副职干部具有高校干部、中层干部和副职干部的群体特征，应当具备相应的政治、思想、道德、业务、能力和身体等方面的基本素质。高校应当按照现行干部配置规制，结合内部管理体制和工作机制任用干部。高校中层副职干部的日常活动涉及到社会、学校、家庭等多个层面，必须妥善处理好各种人事关系。     

民族记忆与文化基因--瑶族民族记忆中“中华民族共同体”文化基因的表征及其价值阐释

民族记忆既是传承民族文化基因的载体,也是彰显民族文化基因的重要文化表征。民族记忆作为延续民族历史和文化基因的内在根基,通过传承民族历史文化、建构民族身份、塑造民族形象等形式传承和彰显民族文化基因的内在特征。以瑶族为代表的少数民族文化基因是中华民族文化基因的重要组成部分,深入挖掘瑶族民族记忆中蕴含的“中华民族共同体”文化基因,并阐释其内在的价值与意义,对培育和铸牢我国各民族的“中华民族共同体”意识有着重要的理论价值与现实意义。     

关于有限群的可解性

利用极大子群的几乎正规的概念得到了有限群为可解群的若干充要条件．     

集权、分权、利益集团理论与美国公共行政的发展

本文从论述汉密尔顿、杰斐逊和麦迪逊政治思想入手，分析了以集权思想为特征的汉密尔顿＂古典式行政模式＂、以分权思想为特征的杰斐逊＂浪漫式行政模式＂和以利益集团思想为特征的麦迪逊＂新古典式行政模式＂产生的历史条件和原因，并从宏观上考察了３种＂行政模式＂在美国行政的不同发展阶段中的实践和影响。     

试论农业生物基因工程技术产业化

农业生物基因工程技术产业化尚处在起步阶段 ,但是已经呈现迅猛发展势头。到目前为止 ,很多种农作物已经有了不同改良性状的转基因新品种 ,部分农作物的不同改良性状的转基因新品种已经进入商品化种植 ,并且商品化种植的面积逐年扩大。转基因农作物商品化种植面积主要分布在发达国家 ,广大发展中国家分布面积不大。农业生物基因工程技术产业化跳出了以前农业生产的基本思路 ,通过改造农作物以增强其适应不良环境的能力来发展农业生产。农业生物基因工程技术产业化面临人们对农业生物基因工程技术产业化是否会危害人类和环境的担心、农业生物基因工程技术不完善、农业生物基因工程技术研究和开发体制落后等问题。需要从强化农业生物基因工程技术安全管理和知识宣传、强化农业生物基因工程技术研究、深化农业生物基因工程技术研究和开发体制改革等方面解决这些问题     

独生子女大学生运动项目特点研究

以独生子女大学生运动项目特点为研究对象 ,通过对一～四年级 2 5 38名在校独生子女大学生进行了问卷调查和个别访问 ,并对其调查结果进行数据统计分析研究 ,提出了改进目前普通高校传统体育课教学方法 ,及早调整课程设置 ,按运动项目特点安排课程内容 ,为培养独生子女大学生终生参加体育锻炼打下良好基础     

Kernel Estimation of Rate Function for Recurrent Event Data

Abstract.  Recurrent event data are largely characterized by the rate function but smoothing techniques for estimating the rate function have never been rigorously developed or studied in statistical literature. This paper considers the moment and least squares methods for estimating the rate function from recurrent event data. With an independent censoring assumption on the recurrent event process, we study statistical properties of the proposed estimators and propose bootstrap procedures for the bandwidth selection and for the approximation of confidence intervals in the estimation of the occurrence rate function. It is identified that the moment method without resmoothing via a smaller bandwidth will produce a curve with nicks occurring at the censoring times, whereas there is no such problem with the least squares method. Furthermore, the asymptotic variance of the least squares estimator is shown to be smaller under regularity conditions. However, in the implementation of the bootstrap procedures, the moment method is computationally more efficient than the least squares method because the former approach uses condensed bootstrap data. The performance of the proposed procedures is studied through Monte Carlo simulations and an epidemiological example on intravenous drug users.