人民币加入ＳＤＲ 预期对其国际化的影响

一国货币的国际化程度主要体现在其国际影响力及对国际主要国家货币汇率波动的反应程度。人民币纳入ＳＤＲ 货币篮子将会改变人民币在国际货币金融体系中的地位与作用,从而影响人民币国际化程度。基于２０１５ 年８ 月１１ 日至２０１６ 年３ 月１６ 日的样本区间数据,通过构建ＶＡＲ模型实证检验人民币加入ＳＤＲ 预期因素对人民币国际化程度的影响。结果发现：第一,人民币加入ＳＤＲ 预期能够提升人民币在国际货币金融体系中的影响力,尤其是人民币对美元的影响力将大大增加,但是其对世界其他主要货币的影响力仍显不足;第二,样本区间内,人民币自由化程度并没有提升,因为人民币汇率并没有随着世界主要货币汇率的波动而有所变化。     

传统文化语境下生态心理疗法在城市公园的推广

从传统文化价值观的角度论证了增进心身健康(潘菽的心身理论)是城市园林的首要功能,并以园艺疗法为理论基础拓展其内容为生态心理疗法。提出了城市公园是否可将少部分的草坪区革新成全民健身的乐活角的问题。在举例宋明时期以疗养心身为目的的园林典范的基础上,综合园林史、中医史、社会生活史论述了生态心理疗法治愈心灵创伤的机制作用;再以现代城市公园为例,阐释了推广乐活角的可行性和改造设计草坪景观的方法;最后,总结了当代城市社会心理疾病增多的现实以强调实现生态心理疗法推广的重要性。     

残疾人心理健康服务需求的调查分析

本研究使用自编残疾人心理健康服务需求问卷,对864个残疾人进行施测,旨在调查和了解我国残疾人心理健康服务需求的现状,为残疾人心理健康服务体系的建设提供依据。结果表明：超过1／3的残疾人对自身的心理健康水平评价较低,68．4％的残疾人认为心理健康很重要,90．2％的残疾人认为接受心理健康服务很重要,说明残疾人对心理健康服务的认识和接纳程度较高,需求意愿强烈。在具体的服务目标方面,24．5％的残疾人期望通过心理健康服务能够使家庭生活幸福,21．2％的人希望获得良好的社会适应,19．7％的人希望达到人际和谐。服务内容方面,44．7％的人选择了对家庭婚姻问题的心理咨询,39．7％的人选择了提供心理保健知识。在心理服务形式方面,39．9％的人选择求助兼职或专业的心理咨询人员,28．8％的受访者选择了从朋友家人那里寻求支持,而剩余31．4％的受访者选择了什么也不做或自己解决。在具体的形式方面,41．4％的人选择了求助心理热线,38．2％的人选择了专业心理咨询。在选择机构方面,以社区服务站和社区的主页心理服务机构为主,分别占25．5％和25．3％。调查还表明现实生活中残疾人心理健康服务的开展力度较弱。     

重大公共卫生事件背景下的青年思想政治教育工作

新冠疫情的暴发作为一场全球性重大公共卫生事件对青年思想状况产生了较大影响。思想政治教育必须回应青年的思想关切,并给予及时的引导。基于重大公共卫生事件做好思想政治教育工作有五个基本着力点,即：以树立正确的灾难观为着力点,培养危机意识和担当精神;以倡导科学应对疫情为着力点,提高理性思辨能力和自我防护能力;以讲好中国抗疫经验为着力点,增强四个意识,坚定四个自信;以反思人与自然关系为着力点,增强自然保护意识和生态文明理念;以关注全球抗疫大局为着力点,筑牢人类命运共同体意识。     

大学生就业价值取向的问题与对策分析

论述了当代大学生就业价值取向存在的主要问题;当代大学生就业价值取向偏差的负面影响;引导大学生就业价值取向的主要措施。并指出高校应加强对大学生的择业指导,引导其价值取向,帮助大学生正确制定职业规划,实现顺利就业。     

港台学校社会工作体系及其对心理健康学校社会工作保障系统研究的启示

在我国大陆地区迄今缺乏心理健康学校社会工作的专门研究,但港台地区关于学校社会工作体系及其研究却包含着心理健康的部分内容,并且初步形成了各自的特色;通过对港台地区学校社会工作体系现状、趋势和特点的系统梳理与探讨,可以为大陆构建大中学生心理健康学校社会工作保障系统及其研究提供借鉴和启示.     

Assessing the Playing Field: A Prospective Longitudinal Study of Internet Sports Gambling Behavior

Internet gambling is growing rapidly, as is concern about its possible effect on the public’s health. This paper reports the results of the first prospective longitudinal study of actual Internet sports gambling behavior during eight study months. Data include recorded fixed-odds bets on the outcome of sporting contests and live-action bets on the outcome of events within contests for 40,499 Internet sports gambling service subscribers who enrolled during February 2005. We tracked the following primary gambling behaviors: daily totals of the number of bets made, money bet, and money won. We transformed these variables into measures of gambling involvement. We analyzed behavior for both fixed-odds and live-action bets. The median betting behavior of the 39,719 fixed-odds bettors was to place 2.5 bets of €4 (approximately $5.3 US) every fourth day during the median 4 months from first to last bet. This typical pattern incurred a loss of 29% of the amount wagered. The median betting behavior of the 24,794 live-action bettors was to place 2.8 wagers of €4 every fourth day during the median duration of 6 weeks at a loss of 18% of the amount wagered. We also examined the behavior of empirically determined groups of heavily involved bettors whose activity exceeded that of 99% of the sample.     

How Employed Mothers in Australia Find Time for Both Market Work and Childcare

Time use studies find that employed mothers reduce their parental childcare time by much less than an hour for every hour they spend in market work. This paper uses data from the Australian Bureau of Statistics Time Use Survey 1997 (4,059 randomly selected households) to investigate how employed mothers manage to avoid a one-for-one trade-off between work and childcare. It compares the time allocation of employed fathers, employed mothers and non-employed mothers and finds that parents use non-parental childcare to reschedule as well as to replace their own childcare, that employed mothers reschedule activities from weekdays to weekends or to earlier or later in the day, and spend less time than other mothers in housework, childfree leisure and personal care.

Assessing the effects of land use and land cover patterns on thermal conditions using landscape metrics in city of Indianapolis,United States

Direct applications of remote sensing thermal infrared (TIR) data in landscape ecological research are rare due to limitations in the sensors, calibration, and difficulty in interpretation. Currently there is a general lack of methodology for examining the relationship between land surface temperatures (LST) derived from TIR data and landscape patterns extracted from optical sensors. A separation of landscapes into values directly related to their scale and signature is a key step. In this study, a Landsat ETM+ image of Indianapolis, Unites States, acquired on June 22, 2000, was spectrally unmixed (using spectral mixture analysis, SMA) into fraction endmembers of green vegetation, soil, high albedo, and low albedo. Impervious surface was then computed from the high and low albedo images. A hybrid classification procedure was developed to classify the fraction images into seven land use and land cover (LULC) classes. Using the fractional images, the landscape composition and pattern were examined. Next, pixel-based LST measurements were correlated with the landscape fractional components to investigate LULC based relationships between LST and impervious surface and green vegetation fractions. An examination of the relationship between the LULC and LST maps with landscape metrics was finally conducted to deepen understanding of their interactions. Results indicate that SMA-derived fraction images were effective for quantifying the urban morphology and for providing reliable measurements of biophysical variables. LST was found to be positively correlated with impervious surface fraction but negatively correlated with green vegetation fraction. Each temperature zone was associated with a dominant LULC category. Further research should be directed to the theoretical and applied implications of describing such relationships between LULC patterns and urban thermal conditions.

State transition modeling of complex monitored health data

This article considers the analysis of complex monitored health data, where often one or several signals are reflecting the current health status that can be represented by a finite number of states, in addition to a set of covariates. In particular, we consider a novel application of a non-parametric state intensity regression method in order to study time-dependent effects of covariates on the state transition intensities. The method can handle baseline, time varying as well as dynamic covariates. Because of the non-parametric nature, the method can handle different data types and challenges under minimal assumptions. If the signal that is reflecting the current health status is of continuous nature, we propose the application of a weighted median and a hysteresis filter as data pre-processing steps in order to facilitate robust analysis. In intensity regression, covariates can be aggregated by a suitable functional form over a time history window. We propose to study the estimated cumulative regression parameters for different choices of the time history window in order to investigate short- and long-term effects of the given covariates. The proposed framework is discussed and applied to resuscitation data of newborns collected in Tanzania.