21世纪前后法国人类学发展趋势研究

法国人类学的产生不是一蹴而就的,而是有着深刻的时代背景和深厚的文化积淀。在世界人类学发展过程中,社会学年鉴学派、结构学派等都曾对世界人类学产生过深远的影响。经过百年曲折发,法国人类学已经发展成为一门独立、较完备、有自己特色的学科,在理论上有许多新创造、新突破和新建树,如今仍以独特的理论体系在世界人类学舞台上发挥着前沿作用,并占有重要地位,得到了学术界和社会的认可。特别是近20年,它的发展、研究规划更加明确,在竞争激烈的世界人类学研究中,稳稳地占据了一席之地。它发展的经验和教训,为中国民族学人类学的当代发展尤其是理论创新和扩展研究思路方面提供了难得的借鉴和启示。     

Estimating Quantiles of Normal Populations with a Common Mean

Suppose independent random samples are available from two normal populations with a common mean and unequal variances. Estimation of a quantile of the first population is considered with respect to the quadratic loss. Some new estimators for the quantile are proposed using some previously known estimators of a common mean. Inadmissibility results are proved for estimators which are equivariant under affine and location groups of transformations. Risk values of various estimators of a quantile are compared numerically using a detailed simulation study.     

Rethinking the Univariate Approach to Panel Unit Root Testing: Using Covariates to Resolve the Incidental Trend Problem

In an influential article, Hansen showed that covariate augmentation can lead to substantial power gains when compared to univariate tests. In this article, we ask if this result extends also to the panel data context? The answer turns out to be yes, which is maybe not that surprising. What is surprising, however, is the extent of the power gain, which is shown to more than outweigh the well-known power loss in the presence of incidental trends. That is, the covariates have an order effect on the neighborhood around unity for which local asymptotic power is negligible.     

Book Review: Introducing Monte Carlo Methods with R

In this article we propose a nonparametric test for poolability in large dimensional semiparametric panel data models with cross-section dependence based on the sieve estimation technique. To construct the test statistic, we only need to estimate the model under the alternative. We establish the asymptotic normal distributions of our test statistic under the null hypothesis of poolability and a sequence of local alternatives, and prove the consistency of our test. We also suggest a bootstrap method as an alternative way to obtain the critical values. A small set of Monte Carlo simulations indicate the test performs reasonably well in finite samples.     

McDonald's ωt,Cronbach's α, and Generalized θ for Composite Reliability of Common Factors Structures

In the common factor model for subtest scores, several reliability coefficients, including Cronbach's α, have been found to be biased. In this article, we introduce a new coefficient, θ_G, or Generalized θ, which is a generalized version of Armor's θ coefficient and is equal to the true reliability when the dimensions are orthogonal and the measures are parallel. We assessed the McDonald's ω_t, α, and θ_G in terms of mean bias, efficiency, and precision using a Monte Carlo simulation. θ_G outperformed ω_t when the factors were orthogonal or nearly orthogonal with low correlations between them.     

Testing hypotheses about the common mean of two normal populations

Two simple tests which allow for unequal sample sizes are considered for testing hypothesis for the common mean of two normal populations. The first test is an exact test of size a based on two available t-statistics based on single samples made exact through random allocation of α among the two available t-tests. The test statistic of the second test is a weighted average of two available t-statistics with random weights. It is shown that the first test is more efficient than the available two t-tests with respect to Bahadur asymptotic relative efficiency. It is also shown that the null distribution of the test statistic in the second test, which is similar to the one based on the normalized Graybill-Deal test statistic, converges to a standard normal distribution. Finally, we compare the small sample properties of these tests, those given in Zhou and Mat hew (1993), and some tests given in Cohen and Sackrowitz (1984) in a simulation study. In this study, we find that the second test performs better than the tests given in Zhou and Mathew (1993) and is comparable to the ones given in Cohen and Sackrowitz (1984) with respect to power..     

国内专门用途英语研究述评(2000—2021年)——基于CiteSpace的可视化分析

借助文献计量工具CiteSpace对2000—2021年间CNKI收录的中文核心期刊、CSSCI来源期刊及辑刊《中国ESP研究》发表的专门用途英语（ESP）相关论文进行可视化梳理,探究国内ESP研究的整体趋势、内容和特点,旨在为相关研究的进一步开展提供参考和启示。研究结果表明：21世纪以来国内ESP研究整体呈上升趋势,热点主题涵盖ESP本体研究、相关教材研究、相关理论与教学研究等;语言学和社会语言学构成了ESP研究的主体领域,跨学科特征虽有所凸显,但研究深度和广度仍有待拓展;从历时发展来看,ESP研究曾涌现商务英语、专业英语、英语教学等多个前沿领域,其中学术写作教学研究是近年关注焦点。     

Toward an Application Guide for Safety Integrity Level Allocation in Railway Systems

The work in the article presents the development of an application guide based on feedback and comments stemming from various railway actors on their practices of SIL allocation to railway safety‐related functions. The initial generic methodology for SIL allocation has been updated to be applied to railway rolling stock safety‐related functions in order to solve the SIL concept application issues. Various actors dealing with railway SIL allocation problems are the intended target of the methodology; its principles will be summarized in this article with a focus on modifications and precisions made in order to establish a practical guide for railway safety authorities. The methodology is based on the flowchart formalism used in CSM (common safety method) European regulation. It starts with the use of quantitative safety requirements, particularly tolerable hazard rates (THR). THR apportioning rules are applied. On the one hand, the rules are related to classical logical combinations of safety‐related functions preventing hazard occurrence. On the other hand, to take into account technical conditions (last safety weak link, functional dependencies, technological complexity, etc.), specific rules implicitly used in existing practices are defined for readjusting some THR values. SIL allocation process based on apportioned and validated THR values is finally illustrated through the example of “emergency brake” subsystems. Some specific SIL allocation rules are also defined and illustrated.     

Trends in college students’ mental health diagnoses and utilization of services, 2009–2015

Abstract

Objective: To examine changes in diagnoses/treatment for 12 mental health (MH) conditions, previous use of campus MH services, and willingness to seek MH services in the future. Participants: ACHA–NCHA II participants from 2009 to 2015 (n?=?454,029). Methods: Hierarchical binary logistic regression with step 1 controlling for demographics and step 2 considering time. Results: Time was significant except for bipolar disorder, bulimia, and schizophrenia with increases for all conditions except substance abuse. Anxiety (OR?=?1.68), panic attacks (OR?=?1.61), and ADHD (OR?=?1.40) had the highest odd ratios. Use of MH services at current institution (OR?=?1.30) and willingness to utilize services in the future (OR?=?1.37) also increased over time. Conclusions: Based on a national sample, self-reported diagnoses/treatment of several MH conditions are increasing among college students. This examination of a variety of MH issues can aid college health professionals to engage institutional stakeholders regarding the resources needed to support college students’ MH.     

A novel approach for evaluating programs designed to serve military veterans: Using an adapted common components analysis

Evaluators are challenged to keep pace with the vast array of Veteran support programs operating in the United States, resulting in a situation in which many programs lack any evidence of impact. Due to this lack of evidence, there is no efficient way to suggest which programs are most effective in helping Veterans in need of support. One potential solution to this dilemma is to reconceptualize program evaluation, by moving away from evaluating programs individually to evaluating what is common across programs. The Common Components Analysis (CCA) is one such technique that aggregates findings from programs that have undergone rigorous evaluation at the level of program components (e.g., content, process, barrier reduction). Given that many Veteran programs lack outcome evidence from rigorous studies, an adaptation to CCA is needed. This report examines cross-sectional data from a pilot study using an adapted CCA across five domains of well-being (i.e., employment, education, legal/financial/housing, mental/physical health, and social/personal relationships). The purpose of this preliminary study is to determine the feasibility of eliciting program nominations and program components from Veterans via an online survey. When coupled with a longitudinal research design, this adaptation to CCA will allow for stronger causal claims about the expected impact of different program components within and across a variety of domains.