Identifying Mental Disorder from the Faces of Women with Borderline Personality Disorder

Although appearance-based cues can help to diagnose physical illness, visual manifestations of mental disorder may be more elusive. Here, we investigated whether individuals could distinguish women with a serious mental disorder (borderline personality disorder) from demographically- and IQ-matched non-psychiatric controls. Participants rated mentally ill targets as more likely to have a mental disorder from photos more accurately than chance, despite not believing that such judgments were possible. The configuration of facial cues played an important role in these judgments, as interfering with the spatial relationships between facial features reduced participants’ accuracy to chance guessing. Further investigation showed similar results when participants rated the targets for specific mental disorders (borderline personality disorder, major depressive disorder) and rated the mentally ill targets as more depressed, angry, anxious, disgusted, emotionally unstable, distressed, and less happy. Moreover, the depression ratings significantly correlated with the targets’ actual depressive symptoms. Thus, individuals may be able to infer aspects of mental disorder from minimal facial cues.     

The FARSEEING real-world fall repository: a large-scale collaborative database to collect and share sensor signals from real-world falls

Background

Real-world fall events objectively measured by body-worn sensors can improve the understanding of fall events in older people. However, these events are rare and hence challenging to capture. Therefore, the FARSEEING (FAll Repository for the design of Smart and sElf-adaptive Environments prolonging Independent livinG) consortium and associated partners started to build up a meta-database of real-world falls.

Results

Between January 2012 and December 2015 more than 300 real-world fall events have been recorded. This is currently the largest collection of real-world fall data recorded with inertial sensors. A signal processing and fall verification procedure has been developed and applied to the data. Since the end of 2015, 208 verified real-world fall events are available for analyses. The fall events have been recorded within several studies, with different methods, and in different populations. All sensor signals include at least accelerometer measurements and 58 % additionally include gyroscope and magnetometer measurements. The collection of data is ongoing and open to further partners contributing with fall signals. The FARSEEING consortium also aims to share the collected real-world falls data with other researchers on request.

Conclusions

The FARSEEING meta-database will help to improve the understanding of falls and enable new approaches in fall risk assessment, fall prevention, and fall detection in both aging and disease.

     

结合少数民族实际建设新农村——关于推进黑龙江省少数民族社会主义新农村建设进程的调研报告

本文利用大量的第一手调研资料,从“两个共同”的高度,深刻认识黑龙江省少数民族新农村建设的重要意义,确定推进新农村建设的总体方案,提出实施推进少数民族新农村建设的措施,以及需要解决和应特别关注的问题。     

和谐统一战线与构建社会主义和谐社会

新时期新阶段,我们要在构建社会主义和谐社会中建设和谐统一战线,要充分发挥和谐统一战线的作用去推动社会主义和谐社会的构建.     

网络集群的自组织特征 —— 以“南京梧桐树事件”的微博维权为个案

近年来,伴随着急剧的社会结构转型,我国新的社会身份和社会认同群体也随之产生,在网络中的政治表达和利益维护活动增多,在这些网络讨论的集群内部,参与者会自发形成一定的秩序,推动事件的进行。本研究利用自组织理论作为分析框架,选取"南京梧桐树事件"的微博维权集群为研究对象,重点考察网络集群参与者之间从无序到有序的互动过程、整个系统的演变规律及其与外界的互动机制,由此总结出网络集群中的自组织特征,从而相对准确地把握虚拟社区系统的发展、演化阶段,为更好地理解互联网的社会功能起到借鉴作用,也为政府有关部门做好群体事件的预防工作提供理论和策略上的支持。     

波兰语义学派NSM理论对情感词汇的语义解释力

每种语言都为本民族提供了一套阐释范畴,并按照不同的认知图景使人们的情感体验概念化。这些认知图景又与特定语言的词汇范畴联系在一起,因而赋予了特定文化的价值、态度和意义。波兰语义学派的自然语义元语言(NSM)理论从跨语言和跨文化的视角来研究情感概念及其意义。通过梳理前人的有关论述,以自然语义元语言理论为框架,以普遍性语义基元为释义单位,探讨了NSM理论的化简释义方法及其对情感词汇的语义解释力,展示了应用NSM这一用途广泛的释义工具来准确地表征情感概念的意义。普遍的人类概念是构成人类理解情感概念的基石。基于60多个人类普遍概念的NSM研究方法,无疑将有助于我们更好地理解和把握不同文化的人类情感概念。     

中国经济增长对民生民富包容性的区域差异评价

中国经过30多年的改革开放,社会财富较过去大为丰富,但与此同时,区域发展水平差异较大,各个地区收入水平和均衡程度、社会福利、公共服务等方面各有不同,不同区域分享改革成果的水平存在显著差别,必须以包容的增长思想统筹全国发展。采用因子分析方法对全国31个省市区经济增长对民生民富的包容度进行了测度,结果显示目前京沪等经济发达地区对民生民富的包容水平明显领先于中西部地区。整体来看,各地经济发展水平与当地经济对民生的包容状况具有较强的正向关系。     

信息化视阈下海外学生党建工作的现状与创新模式研究 ——以南京邮电大学海外教育学院为例

随着我国各种形式的中外合作办学项目的数量和规模不断扩大,海外学生党员的比例也越来越大。规范化、科学化地做好海外学生党员和入党积极分子的教育和管理工作已是当前和今后高校基层党建工作的重要内容。通过规范海外学生党组织建设,以"网络党建"为平台,开拓海外学生党建工作新模式,从而增强海外学生的向心力和凝聚力。     

国外儿童语言研究综述

国外儿童语言研究源于儿童心理研究,历经了心理学、语言学双重取向的研究和儿童语言研究的独立学科等过程。期间的研究成果丰富,揭示了儿童语言词汇、语法、语义、语用习得和发展的特点。     

个人教育投资的风险收益测度

将教育资本分解成受教育程度和职业的各种组合,借鉴Markowiz的有效投资组合理论,计算Mincer收入方程中扰动项的均值—标准差来衡量投资风险收益,以此建立中国教育投资风险和收益之间的平衡关系,并且利用F检验衡量投资组合的均值方差张成。结果表明,有效的教育资本组合不仅与所接受教育程度有关,还与未来职业选择有关。在以受教育程度为高中和中等职业的基础上,高中(06)可以张成其他全部14个投资组合的均值方差边界。因此,个体和政府在进行教育投资时,都需要全面衡量投资组合的风险收益平衡问题。