大学生常见心理问题特点及对策研究

大学阶段是一个人身心成长发育的关键时期,健康的心理是大学生接受科学文化知识的重要前提。然而,由于社会、家庭以及大学生个体等因素的影响,致使他们出现了各种不同程度的心理问题。其特点是：政治价值观复杂多元,信仰趋向自由化和多元化,人生价值趋向迷茫、功利思想严重,职业兴趣不明确,而在择偶问题上则较成熟。解决这些问题,要发挥思想政治理论课的主渠道作用进行教育引导,同时应在高校的马克思主义学院设立心理咨询中心,分阶段进行心理健康教育,以提高大学生的心理健康水平。     

Adaptive modeling of the human-environment relationship applied to estimation of the population carrying capacity in an earthquake zone

Natural catastrophes such as earthquakes can, in addition to causing loss of life, disrupt the urbanization process through the need for forced population redistribution and the modification of resource and environmental carrying capacity. The population carrying capacity (PCC) of an altered environment following an earthquake is a crucial determinant in the relocation of displaced persons. We use data adaptive methods to model the correlation between the physical environment and human population density in estimating PCC in areas affected by the 2008 Wenchuan earthquake. Comparing actual population distributions with ideal population distributions allows for the identification of villages where population exceeds PCC, or conversely, areas where the environment can support a higher population. Such a comparison can provide the basis for a relocation plan, a critical element of post-catastrophe policy-making.     

The Longitudinal Relationships Between Basic Psychological Needs Satisfaction at School and School-Related Subjective Well-Being in Adolescents

Situated within a positive psychology perspective, this study aimed at examining the nature and directionality of longitudinal relationships between basic psychological needs satisfaction at school and adolescents’ school-related subjective well-being. A total of 576 students (40.5 male and 36.8 % students in junior high school) completed measures of adolescent students’ basic psychological needs at school and school-related subjective well-being at two time points, 6 weeks apart. Cross-lagged structural equation modeling showed significant bidirectional longitudinal relationships between autonomy, relatedness, and competence needs satisfaction and school satisfaction. Furthermore, significant bidirectional relationships were observed between competence need satisfaction and positive affect in school. The findings provided important evidence of the roles of adolescents’ different types of needs satisfaction, experienced specifically during school, in adolescents’ school-related subjective well-being. The findings also helped extend the positive psychology perspective to the relatively neglected context of education.     

Embodied versus Disembodied Information: How Online Artifacts Influence Offline Interpersonal Interactions

This article examines how the sheer volume of personal information recorded and searchable online (online artifacts) has transformed the situated activity system central to Goffman's dramaturgical theories. In‐depth interviews reveal that individuals believe disembodied information based on online artifacts is a more accurate representation of others than embodied information from spatially and temporally bounded face‐to‐face (FTF) processes because they represent how others have behaved over time and are attested by their online contacts. However, the n‐adic structure of online interaction leads to mismatched expectations about whether disembodied information is taken into account during FTF encounters, and consequently can result in embarrassment.     

“社会企业”与“食物银行”:澳门特区的社会管理创新刍议

伴随着经济的飞速发展,社会管理体制绝不能产生任何滞后。随着经济社会各领域发生深刻地变化,由政府高度主导的社会管理模式亦需要与时俱进地创新。作为国家特别行政区之一的澳门,近年来在经济上取得长足发展、政府公共财政收入颇为理想的情况下,不断探索"以民为本"的社会管理模式,努力辅助弱势社群,解决社会问题,持续营造良好的社会环境,促进社会和谐。澳门特区近年来推出的"社会企业"和"食物银行",是澳门政府现阶段社会管理的着力举措,体现出澳门特区的社会管理体制创新的特点。     

农民工子弟的“圣诞老人”

Patrick用他的行动告诉我们，无论你是怎样的一个人，无论你处于什么样的环境中，你都有能力去做一些力所能及的事，为什么不立即行动起来呢？     

Bayesian bridge-randomized penalized quantile regression estimation for linear regression model with AP(q) perturbation

Bridge penalized regression has many desirable statistical properties such as unbiasedness, sparseness as well as ‘oracle’. In Bayesian framework, bridge regularized penalty can be implemented based on generalized Gaussian distribution (GGD) prior. In this paper, we incorporate Bayesian bridge-randomized penalty and its adaptive version into the quantile regression (QR) models with autoregressive perturbations to conduct Bayesian penalization estimation. Employing the working likelihood of the asymmetric Laplace distribution (ALD) perturbations, the Bayesian joint hierarchical models are established. Based on the mixture representations of the ALD and generalized Gaussian distribution (GGD) priors of coefficients, the hybrid algorithms based on Gibbs sampler and Metropolis-Hasting sampler are provided to conduct fully Bayesian posterior estimation. Finally, the proposed Bayesian procedures are illustrated by some simulation examples and applied to a real data application of the electricity consumption.     

Diagnostics for quasi-likelihood nonlinear models

Quasi-likelihood nonlinear models (QLNMs) are an extension of generalized linear model and include a widen class of models as special cases. This article investigates some diagnostic methods in QLNMs. An equivalency between a case-deletion model and a mean-shift outlier model in QLNM is established. Two simulation study and a real dataset are used to illustrate the proposed diagnostic methods.     

多重假设检验中参数估计问题研究

在多重假设检验中,真正原假设的个数m0是未知的,但是它有着很重要的影响,因此,它在最近的统计文献中备受关注.文章综述了三种主要的估计方法:最低斜率法、三次样条法、均值估计方法.然后将上述三种方法结合起来,提出了新的估计方法:均值三次样条法,并主要研究了其在微阵列数据上的应用.大量的模拟研究表明,和其他方法相比,新的估计方法具有较小的偏差和标准差.最后利用真实数据来对估计方法进行评估,并找出了差异表达性基因.模拟和实际数据表明此方法具有显著性提高.     

基于改进的聚类和关联规则挖掘的学生成绩分析

针对北京邮电大学通信工程专业学生的学习状况分析和培养方案的改进需求,提出一种基于改进的聚类和关联规则挖掘的成绩分析方法,借助数据挖掘手段对学生在校期间的各课程成绩进行相关性分析.以2009-2011级通信工程专业本科生的课程成绩作为样本数据,应用该挖掘方法得到课程之间的关联规则网络,从而分析课程间的衔接关系、判断课程的重要程度以及评价各课程的教学效果.另外,以2011级学生的高考成绩数据作为样本,挖掘高考成绩与大学成绩间的关联规则,分析学生入学前成绩对入学后表现的影响.应用本文所述方法得到的挖掘结果能够为教学方案的设计和改进提供一定参考信息,对提高学生学习质量具有良好作用.