《天盛律令》与西夏佛教

本文依据西夏法典<天盛改旧定新律令>和其它汉文资料,对西夏佛教的赐衣、封号、度僧和籍帐制度进行了论述,并认为<律令>最终还是体现了皇权至上的主导思想,佛教只不过是西夏统治者的精神寄托和用来巩固统治的工具.     

《国语》中的儒家美德思想研究

《国语》中蕴含了丰富的伦理道德思想。其中"德"字共250见,具有多重内涵,大体上可以从"德性""德行""德政"三个层面对其"德"的内涵加以归类。该书记载了许多典型案例,其不遗余力地表彰和强化"德",主要目的是劝诫统治者推行德政来教化民众。该书还涉及礼、敬、忠、信、仁、义、智、勇等具体德目,通过分析这些具体德目,可以看出当时的"周礼"已经难以约束、规范人们的行为。春秋时期德目繁多,没有出现一个能够统一诸德的德目来规范人们的行为,然《国语》和《左传》的作者亦尝试以"仁""文"二德来统一诸德,这为孔子"仁学"的创立提供了必要的理论基础和方法借鉴。     

Testing Variance Components in Linear Mixed Modeling Using Permutation

Abstract

Inference of variance components in linear mixed modeling (LMM) provides evidence of heterogeneity between individuals or clusters. When only nonnegative variances are allowed, there is a boundary (i.e., 0) in the variances’ parameter space, and regular inference statistical procedures for such a parameter could be problematic. The goal of this article is to introduce a practically feasible permutation method to make inferences about variance components while considering the boundary issue in LMM. The permutation tests with different settings (i.e., constrained vs. unconstrained estimation, specific vs. generalized test, different ways of calculating p values, and different ways of permutation) were examined with both normal data and non-normal data. In addition, the permutation tests were compared to likelihood ratio (LR) tests with a mixture of chi-squared distributions as the reference distribution. We found that the unconstrained permutation test with the one-sided p-value approach performed better than the other permutation tests and is a useful alternative when the LR tests are not applicable. An R function is provided to facilitate the implementation of the permutation tests, and a real data example is used to illustrate the application. We hope our results will help researchers choose appropriate tests when testing variance components in LMM.     

天下大同——《老子》大道与和谐

引言追求和谐完美,不只是现代人的理想,古人也同此心;不只是中国人的愿望,外国人也同此愿。早在公元前4世纪古希腊哲学家柏拉图就作有《理想国》,16世纪英国莫尔著《乌托邦》,18世纪英国欧文发起合作社运动,还有德国音乐家贝多芬和诗人席勒的《欢乐颂》……人们总是在憧憬一个理想的世界。     

Log Data Analysis with ANFIS: A Fuzzy Neural Network Approach

This study explores the use of the Adaptive Neuro-Fuzzy Inference System (ANFIS), a neuro-fuzzy approach, to analyze the log data of technology-based assessments to extract relevant features of student problem-solving processes, and develop and refine a set of fuzzy logic rules that could be used to interpret student performance. The log data that record student response processes while solving a science simulation task were analyzed with ANFIS. Results indicate the ANFIS analysis could generate and refine a set of fuzzy rules that shed lights on the process of how students solve the simulation task. We conclude the article by discussing the advantages of combining human judgments with the learning capacity of ANFIS for log data analysis and outlining the limitations of the current study and areas of future research.     

Perceived Coparenting Support and Later Relationship Status among Cohabiting Parents

Abstract

To help with the fragile nature of cohabiting parents' relationship, more understanding about their interpersonal experiences is needed to identify factors that matters for their relationship stability. We examined how cohabiting parents' perceived coparenting support from their partner was associated with their later relationship status (married/cohabiting/not together). Further, we examined the possible moderating effect of perceived coparenting support on the association between marriage plans and later relationship status. Results suggested that the associations between fathers' plans and couples' marriage entrance as well as continued cohabitation were dependent upon fathers' perceived coparenting support from mothers. Clinical and research implications are discussed.     

Predictors of treatment attendance and adherence to treatment recommendations among individuals receiving Cognitive Behavioral Therapy for Insomnia

ABSTRACT

Insomnia disorders affect up to 10% of adults and are associated with other health problems and poor quality of life. Cognitive Behavioral Therapy for Insomnia (CBT-I) is an effective treatment; however, its effectiveness is hindered by poor attendance and adherence to treatment recommendations. The present study sought to identify predictors of attendance and adherence in CBT-I. Participants were 108 adults with insomnia disorder. Participants were primarily female (71.3%), middle aged (mean age = 50.5), and Caucasian (92.6%). Demographic variables, physical health problems, Beck Anxiety Inventory, Center for Epidemiologic Studies Depression-Revised scale, and Insomnia Severity Index were used to predict attending three or more sessions and adherence to consistent bedtime and waketime. Higher age was associated with better attendance and less deviation in bed and wake times. Anxiety and depression symptoms were associated with less attendance, and depression was also associated with more deviation in waketimes. To promote better attendance and adherence in treatment, depression or anxiety symptoms should be addressed before or during CBT-I. Identifying and tailoring CBT-I treatments toward the needs of different age groups may also improve attendance and adherence.