弘扬民族文化致力国家建设--论回族研究的主流传统

在回族研究发展的100年历史中,体现出一个始终贯彻在学术活动中的学术传统,即将弘扬民族文化和国家建设紧密地联系在一起.本文在分析这个传统在不同时代的不同表现的同时,指出这是回族研究中的优良传统,对于今后的学术发展和学科建设有重要意义.     

Multivariate Synthetic |S| Control Chart with Variable Sampling Interval

A variable sampling interval (VSI) feature is introduced to the multivariate synthetic generalized sample variance |S| control chart. This multivariate synthetic control chart is a combination of the |S| sub-chart and the conforming run length sub-chart. The VSI feature enhances the performance of the multivariate synthetic control chart. The comparative results show that the VSI multivariate synthetic control chart performs better than other types of multivariate control charts for detecting shifts in the covariance matrix of a multivariate normally distributed process. An example is given to illustrate the operation of the VSI multivariate synthetic chart.     

Structural Validation and Multiple Group Assessment of the Short Internalized Homonegativity Scale in Homosexual and Bisexual Men in 38 European Countries: Results From the European MSM Internet Survey

Internalized homonegativity (IH) is the internalization of negative attitudes and assumptions about homosexual people by homosexual people themselves. To measure IH, Smolenski, Diamond, Ross, and Rosser (2010) and Ross, Rosser, and Smolenski (2010) revised the Reactions to Homosexuality Scale (RHS) to develop the Short Internalized Homonegativity Scale (SIHS) with eight items. Using the European Men Who Have Sex With Men Internet Survey (EMIS) data, with an analytic sample of 130,718 gay and bisexual men in 38 European countries, we confirmed the validity of the SIHS scale in both training and validation data, in strata of Ross, Berg, et al.’s (2013) three “homosexual discrimination” country clusters, of age, and of education level. However, the performance was less adequate in comparison of gay versus bisexually identified individuals. The latent SIHS structure contains only minor variations across these three strata. The seven-item scale performed as well as the eight-item scale. The SIHS is a promising candidate for standard IH measures, which is invariant across cultural, age, and educational strata.     

What does self-esteem have to do with behavioral health among low-income youth in Chicago?

Many studies have examined risk factors associated with poorer behavioral health among low-income African American youth, such as low school engagement, delinquency, mental health problems, drug use, and risky sex. However, fewer studies have examined protective factors for such behavioral health risk behaviors. This study sought to address this gap by examining whether high levels of self-esteem were associated with better behavioral health factors for this population. A survey was administered to a sample of 638 low-income African American adolescents in Chicago to examine the degree to which high self-esteem was associated with less delinquency, substance use, and sexual risk behaviors, and more school engagement, and whether such associations varied by gender. Stepwise linear and logistic regression models were estimated to assess the influence of self-esteem. Higher self-esteem for this sample of low-income African American adolescents was associated with lower rates of delinquency, drug use, and risky sexual behaviors and increased rates of school engagement. Gender moderated only a few of these relationships. These findings suggest that programs that promote high self–esteem alone or in combination with other resilience factors may promote better behavioral health factors for African American adolescents.     

Flood risk mapping and analysis using an integrated framework of machine learning models and analytic hierarchy process

In this study, a new approach of machine learning (ML) models integrated with the analytic hierarchy process (AHP) method was proposed to develop a holistic flood risk assessment map. Flood susceptibility maps were created using ML techniques. AHP was utilized to combine flood vulnerability and exposure criteria. We selected Quang Binh province of Vietnam as a case study and collected available data, including 696 flooding locations of historical flooding events in 2007, 2010, 2016, and 2020; and flood influencing factors of elevation, slope, curvature, flow direction, flow accumulation, distance from river, river density, land cover, geology, and rainfall. These data were used to construct training and testing datasets. The susceptibility models were validated and compared using statistical techniques. An integrated flood risk assessment framework was proposed to incorporate flood hazard (flood susceptibility), flood exposure (distance from river, land use, population density, and rainfall), and flood vulnerability (poverty rate, number of freshwater stations, road density, number of schools, and healthcare facilities). Model validation suggested that deep learning has the best performance of AUC = 0.984 compared with other ensemble models of MultiBoostAB Ensemble (0.958), Random SubSpace Ensemble (0.962), and credal decision tree (AUC = 0.918). The final flood risk map shows 5075 ha (0.63%) in extremely high risk, 47,955 ha (5.95%) in high-risk, 40,460 ha (5.02%) in medium risk, 431,908 ha (53.55%) in low risk areas, and 281,127 ha (34.86%) in very low risk. The present study highlights that the integration of ML models and AHP is a promising framework for mapping flood risks in flood-prone areas.     

A Latent Class Analysis of Factors Associated with Levels of Aggression among Low-Income African American Youth in Chicago

Abstract

African American youth are often stereotyped as being more aggressive than and experience more severe negative social sanctions relative to their European American peers. This cross-sectional study assessed self-reported levels of aggression among a sample of 538 low-income African American youth in Chicago, and employed latent class analysis to determine groups of aggression. Major study findings showed low, middle high aggression group. The largest number of youth fell within the low aggression group. Social factors (e.g., low student-teacher connectedness, high risky peer norms, neighborhood violence, and family conflict) were associated with inclusion in the high aggression group. Intrapersonal factors (e.g., depression, anxiety, post-traumatic stress disorder) were associated with inclusion in the middle aggression group. Future longitudinal research should examine what factors are associated with movement across aggression groups and capitalize upon knowledge gained in the current study to develop interventions.     

Social housing estates and sustainable community development in South Korea

The purpose of this paper is to examine the characteristics and problems of social housing estates in South Korea, and to explore sustainable community development issues. In order to examine the social housing situation, a survey of the three social housing communities in Seoul was conducted. The survey evidence demonstrates that there is a growing stigma against the poor and social exclusion. This kind of social bias is likely to escalate the construction of social housing estates, which the poor concentrates in. Residents recognized that mixing public and private housing would be an issue and problematic. Public housing was thought to have a negative impact on the neighborhood. It is important to examine why these kinds of social problems arise. Applying the concept of social sustainability to low-income communities in urban Korea requires mobilizing residents and their governments to strengthen all forms of community capital.     

Optimal designs of multivariate synthetic |S| control chart based on median run length

The multivariate synthetic generalized sample variance |S| (synthetic |S|) chart is a combination of the |S| sub-chart and the conforming run length sub-chart. A procedure for optimal designs of the synthetic |S| chart, based on the median run length (MRL), for both zero and steady-state modes are provided by minimizing the out-of-control MRL. The comparative results show that the synthetic |S| chart performs better than the standard |S| chart for detecting shifts in the covariance matrix of a multivariate normally distributed process, in terms of the MRL. An example is given to illustrate the operation of the synthetic |S| chart.     

A 25-year perspective on levels of analysis in leadership research

The purpose of this article is to present a comprehensive 25-year review of the incorporation of levels of analysis into conceptual and empirical leadership research published within Leadership Quarterly throughout its history. We assessed the population of Leadership Quarterly's research (790 research articles) on four key levels of analysis-based issues: (1) explicit statement of the focal level(s) of analysis; (2) appropriate measurement given level of constructs; (3) use of a multi-level data analysis technique; and, (4) alignment of theory and data. Prior reviews regarding levels of analysis incorporation into leadership research have been limited to major research domains. Results revealed that while both conceptual and empirical articles only explicitly state the focal level of analysis in approximately one-third of the articles, appropriate levels-based measurement and alignment between theory and data are relatively strong areas of achievement for the articles within Leadership Quarterly. Multi-level data analysis techniques are used in less than one-fifth of all articles. Although there is room for improvement, there is evidence that Leadership Quarterly is a premier outlet for levels-based leadership research. Given the increasing complexity of organizational science with regard to groups, teams and collectives, Leadership Quarterly has an opportunity to model for organizational research on how to build and test complicated multi-level theories and models.     

罗素对周作人“非宗教”思想的影响

在周作人早期思想研究中,罗素的影响一直未能引起人们的注意。本文详细地考察了罗素的"非宗教"观、自由教育思想以及闲适观对周作人的影响。"五四"时期周作人对现代知识分子非理性宗教情绪的批判、对形形色色宗教的或准宗教的意识形态的警惕、以及对自由闲适生活的重视等均与罗素的影响密切相关,深入地探讨这些问题不仅有助于我们更准确地把握周作人的思想,而且有助于我们全面评价和研究他后来的蜕变及思想的复杂性。