Mental health status of the Hmong Americans in 2011: three decades revisited

This article provides a comprehensive overview of the Hmong in America and encompasses their mental health status for the past 35 years. Since their mass arrival to the United States in 1975, limited research has been compiled to track the specific mental health issues that affect this collective community alone. Major chronological research findings were compiled for this article and specific findings concerning the Hmong and their mental health issues were compared to findings for other Southeast Asian groups. In conclusion, the findings of this article indicate that the Hmong still have higher rates of being diagnosed with depression, the lowest help-seeking behaviors in utilizing Western medicine, and the lowest arithmetic average of "happiness" scaled on an assessment tool. The purpose of this article is to better steer future research projects that entail tracking and differentiating the specific mental health domains of the Hmong.     

“藏区精准脱贫案例研究学术研讨会”会议综述

正2018年10月19—21日,由中国藏学研究中心主办,中国藏学研究中心社会经济研究所、《中国藏学》杂志社、四川省民族研究所、泸定县人民政府承办的"藏区精准脱贫案例研究学术研讨会"在四川省甘孜藏族自治州泸定县隆重召开。来自京、藏、川、滇、甘、陕等地的20家科研机构、高等院校与企业的40余名专家学者出席了此次会议。本次会议共收到论文26篇,有22位学者在大会及小组讨论中发言交流。开幕式上,中国藏学研究中心科研办副主任李作泰首先回顾了红军长征飞夺泸定桥的英雄事迹。     

基建投资绩效与经济增长集约化的溢出效应分析

文章借助DEA方法和空间杜宾模型,比较分析全国与丝绸之路经济带国内段沿线地区硬软性基础设施投资绩效及其对经济增长集约化的空间效应.研究显示:丝绸之路经济带硬性基础设施投资处于较高的技术效率水平;区域经济增长集约化呈明显的空间相关性;与全国比较,硬性基础设施投资绩效对经济带的效应明显,尤其是对西北地区产生的本地和溢出效应最大;软性基础设施投资绩效虽然明显提高整个经济带的集约化水平,但对西北地区产生负向溢出效应.     

维吾尔族大学生的民族刻板印象

本研究采用问卷调查法,对维吾尔族大学生的民族刻板印象进行了调查。被试对汉族人和泉古族人形成的刻板印象以正面与中性的印象为主。被试认为,汉族人最主要的10项特征是爱吃菜、勤劳、团结、小气、自私、爱国、朴实、节俭、爱喝酒和追求享受;蒙古族人最主要的10项特征是勇敢、凝聚力强、游牧、爱喝酒、野蛮、高大强壮、擅长摔跤、好客、好斗和能歌善舞。     

吐鲁番学学术研究事业在吐鲁番的发展

吐鲁番学与敦煌学是密不可分的,是不同名称的同一研究对象的学问。解放以来有关敦煌学方面召开的各种性质的会议比较多,但是吐鲁番学方面的会议几乎没有。主要原因在于没有一个适当的关心和组织吐鲁番学学术研究事业的组织机构。直到新疆吐鲁番学学会成立以后,这种不关心吐鲁番学学术研究事业的情况才彻底有了改观。     

西部边疆地区人力资源开发研究

人力资源的开发是地区经济和社会可持续发展的关键。我国西部边疆的5个省、区既是经济欠发达地区,又是多民族聚居地区。长期以来,人力资源开发滞后制约着地区的可持续发展。本文分析西部边疆5个省、区地区人力资源开发存在的问题,并提出相应的对策。     

拉达克王国：公元950—1842年（五）——拉达克力量的衰退

本文论述了17世纪下半叶拉达克王国在来自喀什噶尔的突厥人和来自卫藏的蒙古一西藏军队的双重打击下,逐步走向衰落的历史进程,从而结束了拉达克王国作为喜马拉雅地区重要力量的角色。     

A simple two-stage design for quantitative responses with application to a study in diabetic neuropathic pain

Two-stage designs offer substantial advantages for early phase II studies. The interim analysis following the first stage allows the study to be stopped for futility, or more positively, it might lead to early progression to the trials needed for late phase II and phase III. If the study is to continue to its second stage, then there is an opportunity for a revision of the total sample size. Two-stage designs have been implemented widely in oncology studies in which there is a single treatment arm and patient responses are binary. In this paper the case of two-arm comparative studies in which responses are quantitative is considered. This setting is common in therapeutic areas other than oncology. It will be assumed that observations are normally distributed, but that there is some doubt concerning their standard deviation, motivating the need for sample size review. The work reported has been motivated by a study in diabetic neuropathic pain, and the development of the design for that trial is described in detail.     

Models for the analysis of C-reactive protein in statin trials

Elevation in C-reactive protein (CRP) is an independent risk factor for cardiovascular disease progression and levels are reduced by treatment with statins. However, on-treatment CRP, given baseline CRP and treatment, is not normally distributed and outliers exist even when transformations are applied. Although classical non-parametric tests address some of these issues, they do not enable straightforward inclusion of covariate information. The aims of this study were to produce a model that improved efficiency and accuracy of analysis of CRP data. Estimation of treatment effects and identification of outliers were addressed using controlled trials of rosuvastatin. The robust statistical technique of MM-estimation was used to fit models to data in the presence of outliers and was compared with least-squares estimation. To develop the model, appropriate transformations of the response and baseline variables were selected. The model was used to investigate how on-treatment CRP related to baseline CRP and estimated treatment effects with rosuvastatin. On comparing least-squares and MM-estimation, MM-estimation was superior to least-squares estimation in that parameter estimates were more efficient and outliers were clearly identified. Relative reductions in CRP were higher at higher baseline CRP levels. There was also evidence of a dose-response relationship between CRP reductions from baseline and rosuvastatin. Several large outliers were identified, although there did not appear to be any relationships between the incidence of outliers and treatments. In conclusion, using robust estimation to model CRP data is superior to least-squares estimation and non-parametric tests in terms of efficiency, outlier identification and the ability to include covariate information.