Squashed dreams and rare breeds: ableism and the arbiters of life and death

The week beginning 29 June 2015 is not just historic for the closure of the Independent Living Fund in the United Kingdom, but for me was the week they decided that my life is not worth investing in; they being NHS England, NICE and, with them, the Department of Health. They chose not to support the enzyme replacement therapy that has been not only keeping me alive, but giving me a quality of life – enabling me to return to finish my Disability Studies PhD exploring how Christian leaders explain disability, where ethics have become the main topic, and to rebuild my career – or so I thought.     

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.     

Hierarchical Bayesian Modeling of Post-Earthquake Ignition Probabilities Considering Inter-Earthquake Heterogeneity

Post-earthquake fires are high-consequence events with extensive damage potential. They are also low-frequency events, so their nature remains underinvestigated. One difficulty in modeling post-earthquake ignition probabilities is reducing the model uncertainty attributed to the scarce source data. The data scarcity problem has been resolved by pooling the data indiscriminately collected from multiple earthquakes. However, this approach neglects the inter-earthquake heterogeneity in the regional and seasonal characteristics, which is indispensable for risk assessment of future post-earthquake fires. Thus, the present study analyzes the post-earthquake ignition probabilities of five major earthquakes in Japan from 1995 to 2016 (1995 Kobe, 2003 Tokachi-oki, 2004 Niigata–Chuetsu, 2011 Tohoku, and 2016 Kumamoto earthquakes) by a hierarchical Bayesian approach. As the ignition causes of earthquakes share a certain commonality, common prior distributions were assigned to the parameters, and samples were drawn from the target posterior distribution of the parameters by a Markov chain Monte Carlo simulation. The results of the hierarchical model were comparatively analyzed with those of pooled and independent models. Although the pooled and hierarchical models were both robust in comparison with the independent model, the pooled model underestimated the ignition probabilities of earthquakes with few data samples. Among the tested models, the hierarchical model was least affected by the source-to-source variability in the data. The heterogeneity of post-earthquake ignitions with different regional and seasonal characteristics has long been desired in the modeling of post-earthquake ignition probabilities but has not been properly considered in the existing approaches. The presented hierarchical Bayesian approach provides a systematic and rational framework to effectively cope with this problem, which consequently enhances the statistical reliability and stability of estimating post-earthquake ignition probabilities.     

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.     

或有事项对企业财务能力影响的分析--兼谈会计中的不确定性

阐述了或有事项引起的财务报表变动 ,建立了一套财务指标 ,分析了或有事项对企业财务能力的影响 ,并指出在不确定性会计处理中应注意的几个问题     

稀土硝酸盐与甘氨酸配合物的合成和表征

在水溶液体系中合成了镧、镨、钐和钆四种稀土硝酸盐与甘氨酸的固态配合物,化学分析表明,它们的化学组成分别是L_0(NO_3)_3·(Gly)_3·H_2O,Pr(NO_3)_3·(Gly)_3·H_2O,Sm(NO_3)_3·(Gly)_3·3H_2O和Gd(NO_3)_3·(Gly)_3·3H_2O,用红外光谱法和x射线衍射法测定了配合物的结构特征,表明它们是一类完全不同于稀土硝酸盐和甘氨酸的新化合物,同时考察了配合物在几种常见溶剂中的溶解性。     

蒙古族大德咱雅班智达事迹考述

清初,在祖国统一的大业中,各民族的爱国志士都曾为此做出了贡献,蒙古族高僧大德咱雅班智达.南喀嘉措便是在西藏地方归顺清朝中央,实现祖国统一过程中做出过重要贡献的人物之一。鉴于其在历史发展过程中的重要贡献,当时西藏上层以他为首世,建立了“咱雅班智达“转世系统,从此,它成为藏传佛教在蒙古族地区颇具影响的活佛世系之一。     

水杨酸-邻菲罗啉三元稀土配合物的合成、表征及抑菌作用

在无水乙醇溶液中合成了六种水杨酸-邻菲罗啉-三元稀土配合物,采用元素分析,红外光谱,差热热重等测试方法进行表征,确定配合物的化学组成为RE(Phen)2(Sa l)2C l.H2O(RE=L a3+,P r3+,N d3+,Sm3+,G d3+,D y3+).研究了稀土配合物的抑菌活性,结果表明三元稀土配合物的抑菌效果较单独的稀土氯化物、邻菲罗啉和水杨酸好.     

A general inverse sampling scheme and its application to adaptive cluster sampling

Not having a variance estimator is a seriously weak point of a sampling design from a practical perspective. This paper provides unbiased variance estimators for several sampling designs based on inverse sampling, both with and without an adaptive component. It proposes a new design, which is called the general inverse sampling design, that avoids sampling an infeasibly large number of units. The paper provide estimators for this design as well as its adaptive modification. A simple artificial example is used to demonstrate the computations. The adaptive and non‐adaptive designs are compared using simulations based on real data sets. The results indicate that, for appropriate populations, the adaptive version can have a substantial variance reduction compared with the non‐adaptive version. Also, adaptive general inverse sampling with a limitation on the initial sample size has a greater variance reduction than without the limitation.     

社会认知经典研究述评

社会认知是指个人对他人或自己的心理与行为的感知与判断的过程。从 1 93 0年代开始 ,社会心理学家就已经对此问题开展研究。 1 947年 ,J.S .Bruner在以往研究基础上 ,提出了社会知觉概念 ,并且进行了相关实验 ,开启了现当代社会认知研究的大门。 1 970年代后 ,社会认知研究开始广泛借鉴认知心理学的理论和方法 ,尤其受到信息加工理论的深刻影响 ,开展了大量的实证研究。文章在把握社会认知研究的历史脉络基础上 ,评述几个在社会认知研究发展史中占有重要地位的经典研究。