事件性前瞻记忆的加工机制：来自ERP的证据

采用事件相关电位技术,对前瞻记忆的加工机制——主要是执行前的加工机制进行研究。控制条件为单纯的背景任务,实验条件为背景任务含前瞻记忆任务,对两种条件下非靶线索的行为数据进行比较,结果表明实验条件下被试的反应时显著长于控制条件,可能说明两种条件的认知过程存在差异,这种差异在ERPs上主要体现为刺激呈现200ms以后,两种条件的波形和脑地形图存在显著差异。结果支持预备注意加工和记忆加工理论,也部分支持多重加工理论     

中医望诊中眼神跟踪与分析综述

望诊是中医四诊中的一种,也是中医查病的第一步。而眼睛是心灵的窗户,医师通过望眼神能够诊测一个人的身体健康状况,眼睛与身体的对应有众多说法,如"五轮八廓"等,因此眼神的跟踪与分析对于中医望诊十分重要。使用电脑对眼神的进行自动跟踪首先需要进行眼睛各部位的精确定位,包括眼皮、眼角、白睛、眼结膜、虹膜、瞳孔以及眼袋等;接着需要对眼睛的动作进行跟踪,包括眼球的转动、瞳孔的放缩等。对眼神的分析在定位与跟踪之后,由眼球各部分的形状、颜色、移动速度等信息结合相应的规则对病位、病性作出判断。本文综述了中医中望眼的一些经验总结,并给出了目前用于眼睛定位、跟踪的算法与思路。     

心理契约破坏研究现状与展望

心理契约破坏（psychologicalcontractbreach）是雇员对于组织未能充分履行心理契约中承诺责任的主观感知。文章阐述了心理契约破坏的概念界定、它产生的主要原因及其后果,以及相关的跨文化研究,并重点介绍了心理契约破坏对员工工作态度和行为产生影响过程中的相关权变因素（中介变量和缓冲变量）。在此基础上进一步提出未来研究应着重以下几方面：（1）心理契约破坏的心理机制及干预措施研究;（2）跨文化比较研究;（3）个体间差异的研究;（4）研究方法的改进     

An exploratory analysis of the latent structure of process data via action sequence autoencoders

Computer simulations have become a popular tool for assessing complex skills such as problem-solving. Log files of computer-based items record the human–computer interactive processes for each respondent in full. The response processes are very diverse, noisy, and of non-standard formats. Few generic methods have been developed to exploit the information contained in process data. In this paper we propose a method to extract latent variables from process data. The method utilizes a sequence-to-sequence autoencoder to compress response processes into standard numerical vectors. It does not require prior knowledge of the specific items and human–computer interaction patterns. The proposed method is applied to both simulated and real process data to demonstrate that the resulting latent variables extract useful information from the response processes.     

Th17细胞在胸腺瘤合并MG发病机制中作用的探讨

探讨Th17细胞在胸腺瘤合并重症肌无力(MG)发病中的作用.分析27例胸腺瘤患者相关资料,免疫组化法确定瘤组织中IL-17和CD4+T细胞表达.结果为胸腺瘤合并MG男性年龄低于女性,瘤组织高表达IL-17和CD4+T细胞.B1和B2型易合并MG.结论是Th17细胞和IL-17在胸腺瘤合并MG发病中有一定作用.     

Latent variable models for analyzing children's processing ability

In this paper, we develop a latent processing ability model to analyze the speed of processing ability data. Our approach can not only effectively evaluate the effects of covariates on the latent processing ability, but also estimate the latent trait of each child by calculating its posterior mean. In addition, we derive the correlations structure of latent traits among different age groups. Simulations are conducted to evaluate the performance of our proposed model. The results indicated that the estimation of model parameters is satisfactory overall. The method is evaluated using real data from children aged 4–7 years in Changchun, China.     

Personal Spiritual Values and Quality of Life: Evidence from Chinese College Students

Values are guiding principles in our life. While some studies found spiritual values to be “healthier,” Sagiv and Schwartz (Eur J Soc Psychol 30:177–198, 2000) showed that people holding non-spiritual values were higher on affective well-being. We examined the predictive power of these two types of values with a longitudinal data set collected from Chinese students mainly in Hong Kong. Structural equation modeling revealed that spiritual values (as well as family income) positively predicted quality of life a year later. Non-spiritual, self-enhancement values, did not show any association. Results suggest that developing spiritual values may promote well-being through enabling individuals to find meaning and purpose in life.     

Moderation Analysis Using a Two-Level Regression Model

Moderation analysis is widely used in social and behavioral research. The most commonly used model for moderation analysis is moderated multiple regression (MMR) in which the explanatory variables of the regression model include product terms, and the model is typically estimated by least squares (LS). This paper argues for a two-level regression model in which the regression coefficients of a criterion variable on predictors are further regressed on moderator variables. An algorithm for estimating the parameters of the two-level model by normal-distribution-based maximum likelihood (NML) is developed. Formulas for the standard errors (SEs) of the parameter estimates are provided and studied. Results indicate that, when heteroscedasticity exists, NML with the two-level model gives more efficient and more accurate parameter estimates than the LS analysis of the MMR model. When error variances are homoscedastic, NML with the two-level model leads to essentially the same results as LS with the MMR model. Most importantly, the two-level regression model permits estimating the percentage of variance of each regression coefficient that is due to moderator variables. When applied to data from General Social Surveys 1991, NML with the two-level model identified a significant moderation effect of race on the regression of job prestige on years of education while LS with the MMR model did not. An R package is also developed and documented to facilitate the application of the two-level model.     

Development and validation of a Christian-based Grief Recovery Scale

The purpose of this study was to develop and validate a Christian-based Grief Recovery Scale (CGRS) which was used to measure Christians recovering from grief after a significant loss. Taiwanese Christian participants were recruited from churches and a comprehensive university in northern Taiwan. They were affected by both the Christian faith and Chinese cultural beliefs. The CGRS is developed through replicated factor analyses in three stages. The final version of the CGRS retains 35 Likert-type items and consists of six factors: spiritual well-being; recovering meaning and sense of control; ongoing physical and emotional responses; reassuring faith; strongly missing a deceased loved one; and life disturbance. The evidence for CGRS reliability and validity is highlighted. Implications for research and counselling practice are suggested.