Living with dementia,interdependence and citizenship: narratives of everyday decision-making

This article argues that interdependent relationships are key in realising inclusion and citizenship for people living with dementia. We focus on decision-making as one aspect of everyday life which reflects opportunities and challenges associated with citizenship. Accounts of everyday decision-making from people living with dementia provide insight into strategies for negotiating responsibilities as they shifted with dementia. An inductive, secondary data analysis developed decision narratives from the data of 61 interviews conducted in the United Kingdom. The interviews were with 12 people with a diagnosis of dementia plus their nominated care-partner in a qualitative study which focused on information management and sense of self. The secondary data analysis identified strategies for inclusion, emphasising relational interdependency amidst challenges. The five-stage framework of an Ethic of Care positions this interdependency as a response to barriers to inclusion and citizenship. Interdependency, therefore, emerges as key to realising relational citizenship.     

A misspecification test for the higher order co-moments of the factor model

The traditional estimation of higher order co-moments of non-normal random variables by the sample analog of the expectation faces a curse of dimensionality, as the number of parameters increases steeply when the dimension increases. Imposing a factor structure on the process solves this problem; however, it leads to the challenging task of selecting an appropriate factor model. This paper contributes by proposing a test that exploits the following feature: when the factor model is correctly specified, the higher order co-moments of the unexplained return variation are sparse. It recommends a general to specific approach for selecting the factor model by choosing the most parsimonious specification for which the sparsity assumption is satisfied. This approach uses a Wald or Gumbel test statistic for testing the joint statistical significance of the co-moments that are zero when the factor model is correctly specified. The asymptotic distribution of the test is derived. An extensive simulation study confirms the good finite sample properties of the approach. This paper illustrates the practical usefulness of factor selection on daily returns of random subsets of S&P 100 constituents.     

Perceived Inflation Persistence

This article constructs and estimates a measure called perceived inflation persistence that can be used to determine if professional forecasters’ inflation forecasts indicate there has been a change in inflation persistence. This measure is built via the implied autocorrelation function that follows from the estimates obtained using a forecaster-specific state-space model. Findings indicate that U.S. perceived inflation persistence has changed since the mid-1990s with more consensus among forecasters at lower levels of persistence. When compared to the autocorrelation function for actual inflation, forecasters typically react less to shocks to inflation than the actual inflation data would suggest.     

Strong law of large numbers and complete convergence for non-identically distributed WOD random variables

In this paper, we establish the strong law of large numbers and complete convergence for non-identically distributed WOD random variables. We derive some new inequalities of Fuk–Nagaev type for the sums of non-identically distributed WD random variables. All these results further extend and refine previous ones.     

Meningococcal serogroup B outbreak response University of Wisconsin-Madison

A meningococcal serogroup B (MenB) outbreak at a large public university prompted an emergency response to immunize undergraduates. Objective: To report on a successful meningococcal serogroup B (MenB) vaccine clinic response at a large public university. Methods: We assembled the team leaders to write this case report. Results: Activation of the emergency plan and points of dispensing required cooperation of many units on campus under the leadership of university health officials with support from Centers for Disease Control and Prevention, state division of public health and the city-county health department. Significant efforts to provide consistent messages to students and parents regarding the outbreak and the availability of the MenB vaccines were made. Volunteers were recruited to staff the clinics alongside university healthcare providers. Over 22,000 doses of vaccine were administered. Conclusion: We report our experience and lessons learned which may be helpful to universities in preventing and responding to disease outbreaks.     

An improved cluster two-stage randomized response model

In this paper, Abdelfatah and Mazloum's (2015) two-stage randomized response model is extended to unequal probability sampling and stratified unequal probability sampling, both with and without replacement. The extended models result in more efficient estimators than Lee et al.'s (2014) estimators of the proportion of the population having a sensitive attribute.     

升平之境:从《意大利游记》看康有为欧亚文明论

本文以康有为完成于1904年底的《意大利游记》为说明性个案，试图呈现其欧亚文明论的基本面貌。文章将文本与这位“先时之人物”所处的时代相联系，勾勒出康氏的旅欧行程、意大利考察和文明叙述的轮廓，梳理了康氏在其“异域志”中表达的有关升平一统（帝国）、中西文明之异、文明关联互动等看法。文章指出，《意大利游记》是古代华文异域志的近代遗响，而康有为借之表达的看法，实构成一种“文明-现代性”主张。本文为作者所写有关法国社会学年鉴派文明与文明研究构想之论文的续篇。文章指出，康有为对文明的界定与其同龄人涂尔干的看法有诸多相通之处，但也有不同点：康氏与涂氏都将现实发生的文明界定为“超社会现象”，视其为国族与世界之间的中间范畴，但相比于从结构观点看文明的涂尔干，康氏在考察文明的存在方式时更关注其历史的治乱轮替动态，也更为重视其政体实现形式。文章最后，作者思考了20世纪康氏欧亚文明论的遭际，指出相比“国族营造”之社会科学，康有为融通“我他”文明的叙述依旧有其启迪。     

沙水游戏在幼儿科学教育中的运用

沙水游戏包括玩沙游戏、玩水游戏、沙水结合的游戏。沙水游戏在幼儿科学教育中的价值主要体现在激发幼儿对自然界的好奇心,培养其专注度；激发其探究欲望，培养其探究能力；积累科学经验和感性认识，促进科学认知发展；帮助建立正确的科学前概念等方面。因此，应该积极利用沙水游戏来开展幼儿科学教育。     

大工程文化育工程人的实践探索

大工程文化是河北工程大学基于新时代工程教育实践和学校发展实际，凝练升华而成的大学文化系统，其“十一大”脉系，在学校育人实践中发挥了重要作用，为落实立德树人根本任务提供了精神动力。     

Treatment Choice With Trial Data: Statistical Decision Theory Should Supplant Hypothesis Testing

Abstract

A central objective of empirical research on treatment response is to inform treatment choice. Unfortunately, researchers commonly use concepts of statistical inference whose foundations are distant from the problem of treatment choice. It has been particularly common to use hypothesis tests to compare treatments. Wald’s development of statistical decision theory provides a coherent frequentist framework for use of sample data on treatment response to make treatment decisions. A body of recent research applies statistical decision theory to characterize uniformly satisfactory treatment choices, in the sense of maximum loss relative to optimal decisions (also known as maximum regret). This article describes the basic ideas and findings, which provide an appealing practical alternative to use of hypothesis tests. For simplicity, the article focuses on medical treatment with evidence from classical randomized clinical trials. The ideas apply generally, encompassing use of observational data and treatment choice in nonmedical contexts.