论“跨文化交际”课程设计模块化

利用美国学者陈国明先生的跨文化交际能力的模型,结合跨文化课程设计理论和国内研究数据,完成课程概念性的模块化设计,为国内同行提供一个课程设计的新思路。     

Model selection for Lévy measures in diffusion processes with jumps from discrete observations

We deal with parametric inference and selection problems for jump components in discretely observed diffusion processes with jumps. We prepare several competing parametric models for the Lévy measure that might be misspecified, and select the best model from the aspect of information criteria. We construct quasi-information criteria (QIC), which are approximations of the information criteria based on continuous observations.     

非线性面板数据聚类方法研究

对于一类变量非线性相关的面板数据,现有的基于线性算法的面板数据聚类方法并不能准确地度量样本间的相似性,且聚类结果的可解释性低。综合考虑变量非线性相关问题及聚类结果可解释性问题,提出一种非线性面板数据的聚类方法,通过非线性核主成分算法实现对样本相似性的测度,并基于混合高斯模型进行样本概率聚类,实证表明该方法的有效性及其对聚类结果的可解释性有所提高。     

The Conversational Model and Child and Family Counselling: Treating Chronic Complex Trauma in a Systemic Framework

Child and Family Counselling Teams in NSW Community Health Services are expected to provide therapeutic services to children who have experienced complex trauma. However, parental trauma is often overlooked or referred elsewhere. A systemic perspective informed by attachment theory and trauma theory provides the basis for addressing parental trauma in Child and Family Counselling Teams, thereby improving parenting. The Conversational Model is an evidence‐based intervention for chronic complex trauma. The foundations of the Conversational Model and its brief component, Short Term Intensive Psychodynamic Psychotherapy, are outlined and a case study is given to illustrate the usefulness of the intervention in Child and Family Counselling. Highlighted is the importance of addressing systemic trauma through parenting to improve attachment quality, family relationships, and children's function.     

Exploring how the social model of disability can be re-invigorated: in response to Mike Oliver

In his 2013 article in Disability & Society, Oliver recommended that the social model should either be replaced or re-invigorated. I argue here that the social model’s current emphasis reflects the social conditions in which it was introduced, and that the model’s impact on disabled people’s lives would increase if its emphasis was to more accurately reflect the current social conditions in the geographical regions in which it is applied. In order to help foster its re-invigoration, I ask five questions for discussion on the way forward for the social model. I identified my questions through examining published writing on the scope of the social model and on the model’s relationship with other models of disability.     

Model selection criteria in beta regression with varying dispersion

We address the issue of model selection in beta regressions with varying dispersion. The model consists of two submodels, namely: for the mean and for the dispersion. Our focus is on the selection of the covariates for each submodel. Our Monte Carlo evidence reveals that the joint selection of covariates for the two submodels is not accurate in finite samples. We introduce two new model selection criteria that explicitly account for varying dispersion and propose a fast two step model selection scheme which is considerably more accurate and is computationally less costly than usual joint model selection. Monte Carlo evidence is presented and discussed. We also present the results of an empirical application.     

Designing a multiple state repetitive group sampling plan based on the coefficient of variation

A multiple state repetitive group sampling (MSRGS) plan is developed on the basis of the coefficient of variation (CV) of the quality characteristic which follows a normal distribution with unknown mean and variance. The optimal plan parameters of the proposed plan are solved by a nonlinear optimization model, which satisfies the given producer's risk and consumer's risk at the same time and minimizes the average sample number required for inspection. The advantages of the proposed MSRGS plan over the existing sampling plans are discussed. Finally an example is given to illustrate the proposed plan.     

The effect of different data structures,sample sizes on model fit measures

In this study, our aim was to investigate the changes of different data structures and different sample sizes on the structural equation modeling and the influence of these factors on the model fit measures. Examining the created structural equation modeling under different data structures and sample sizes, the evaluation of model fit measures were performed with a simulation study. As a result of the simulation study, optimization and negative variance estimation problems have been encountered depending on the sample size and changing correlations. It was observed that these problems disappeared either by increasing the sample size or the correlations between the variables in factor. For upcoming studies, the choice of RMSEA and IFI model fit measures can be suggested in all sample sizes and the correlation values for data sets are ensured the multivariate normal distribution assumption.     

气候变化政治对海湾国家的影响

海湾地区气候炎热,淡水资源缺乏。长期以来,海湾国家主要依靠能源出口获取大量资金,借此修建海水淡化工厂等各种设施以适应和改善气候环境的影响。近年来,国际社会在应对全球变暖问题的协调合作中,已形成一种处理全球气候变化的政治。气候变化政治要求各国减少能源消耗和降低二氧化碳排放量以缓解全球变暖趋势,从而对海湾国家以能源出口收益来维护生存环境和社会稳定的基本经济模式构成冲击。面对气候变化政治带来的冲击,海湾国家目前的权宜选择只能是继续扩大能源出口,并尽量拖延实施气候变化协议来进行应对。然而,这种做法虽可以暂时保持海湾国家改善环境的努力和维护其经济政治结构稳定,但却难以消除全球气候变化政治今后长期推动能源结构调整和节能减排所带来的压力。