目标包含结构的文本阅读中目标信息的激活

探讨读者在阅读目标包含结构的文本时,目标信息的恢复激活的条件。运用移动窗口技术,采用3（已经实现、尚未实现与控制条件）×3（强目标愈合信号、弱目标愈合信号与无目标愈合信号）的实验设计。结果是子目标实现与否有主效应,目标愈合信号有主效应,目标实现条件和目标愈合信号有交互作用。结论是在目标包含结构的文本阅读中,目标信息表现出恢复激活的方式,目标愈合信号是目标信息恢复的必要条件,弱的目标愈合信号就可以激活长时记忆中已实现的目标信息,而较强的目标愈合信号才能激活长时记忆中尚未实现的目标信息     

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。     

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.     

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.     

抑郁和焦虑对经皮冠状动脉介入治疗患者的影响及对策

越来越多的冠心病患者接受经皮冠状动脉介入治疗,但是这些患者表现出的焦虑抑郁情绪对经皮冠状动脉介入治疗（PCI）围术期的影响却少有报道。研究发现,焦虑和抑郁对心脏事件发生后的恢复有不利的影响,而接受 PCI 治疗的患者情感障碍的发生率是比较高的。主要心血管事件与这些负面影响是相关联的,研究表明密切监测这些患者的情感状态可以明显改善临床预后。     

CXCR4／CXCL12在胃癌及结直肠癌中的研究进展

消化道肿瘤是一种常见的恶性肿瘤,远处转移是其预后不良的主要原因。近年来消化道肿瘤的发病率逐年上升,其相应的研究得到了广泛的重视。趋化因子对肿瘤的侵袭和转移作用也备受关注。 CXCR4及 CXCL12在肿瘤研究中已逐渐成为热点;最近研究表明,其与胃癌、结直肠癌等的转移密切相关,将为消化道肿瘤转移的防治提供新的思路。此文对CXCR4／CXCL12在胃癌及结直肠癌中的研究进展做一简要综述,CXCR4／CXCL12轴的深入研究将有望使其成为消化道肿瘤靶向治疗的特异靶点。     

大学生心理资本对求职绩效的影响:积极求职行为的中介效应

文章旨在检验心理资本对大学生求职绩效的影响及积极求职行为在两者关系的中介效应.采用配对调查方法,通过152对样本数据(心理资本由两位室友他评,积极求职行为和求职绩效由被试自评)的二元logistic回归和层次回归分析结果显示,心理资本对大学生求职绩效(求职表现满意度、找到工作与否、就业单位满意度)具有显著的正向作用,而积极求职行为在两者关系中起到了部分中介作用.具体而言,心理资本中的事务型心理资本(自信勇敢、乐观希望、奋发进取与坚韧顽强)和积极求职行为中的招聘信息搜寻是影响求职绩效的两个最重要因素.