Neural correlates of inefficient filtering of emotionally neutral distractors from working memory in trait anxiety

Research has indicated that highly trait-anxious (HTA) individuals exhibit a specific deficit in filtering threat-related distractors from visual–spatial working memory (WM). Prior demonstrations of impaired inhibition control in HTA individuals have mainly focused on tasks that required the inhibition of prepotent response tendencies. Studies on the suppression of emotionally neutral distractors from WM in trait anxiety have also been minimal. In this article, we present a study on the manifestation of general inefficient filtering of neutral distractors during visual–spatial WM maintenance stages in HTA individuals. Female participants performed a visual–spatial WM task while event-related potentials were recorded. They were made to remember the orientations of red rectangles within half of the screen and to ignore all salient green rectangles. As predicted, no significant main effect of group and no interaction between group and condition were found in the N2pc component, suggesting that group differences did not manifest in the initial process of object individuation. During the subsequent WM maintenance phase, HTA individuals were highly inefficient at filtering the irrelevant items from WM, as reflected not only by parallel late contralateral delay activity (CDA; 450 to 900 ms) amplitudes for the distractor condition and the four red items, but also by a smaller filtering efficiency score in the HTA group than in the low-trait-anxiety group. Extending previous studies, our findings verify a general filtering impairment in HTA individuals for task-irrelevant salient distractors during a WM maintenance phase.     

对恐怖情绪的调节:认知重评和表达抑制的差异——一项ERP研究

本研究采用事件相关电位(ERP)技术,通过测量由视觉诱发的脑电成分晚正波(LPP)来比较情绪调节策略在生理电特征上的差异,探讨认知重评和表达抑制的优劣。实验结果表明:(1)从波幅的角度来比较:在400—600ms时间窗口内,认知重评条件下恐怖图片诱发的LPP波幅显著小于在自由观看条件下的波幅,而表达抑制和自由观看组所诱发的LPP波幅差异较小。(2)从时间进程的角度来比较:认知重评与自由观看组的差异发生在400ms并持续到600ms;而表达抑制和自由观看之间的差异发生在450ms但是只持续到550ms。这表明认知重评相较于表达抑制,对负性情绪起调节作用开始较早,并且持续时间较长。这为认知重评优于表达抑制策略提供了神经生理学上的证据。     

大学生学习适应量表的编制

对当代大学生学习适应问题进行了深入分析,在有关研究的基础上,探讨了当代大学生学习适应的主要因素,并编制一套适合当代大学生学习适应的测验。对四类院校918名大学生进行了施测,对调查数据进行了探索性因素分析和验证性因素分析。探索性因素分析结果表明,大学生学习适应的主要因素包括学习动机、教学模式、学习能力、学习态度、环境因素等5个方面;验证性因素分析结果表明,所提取的5个因素与构想模型拟合较好,测验具有较好的信、效度     

黄浦江畔的时代应答:近代历史转型中的上海穆斯林

北宋政和年间的秀洲华亭县,即今上海松江一带,蕃商船舶辐辏住泊,不少阿拉伯、波斯商人到此营商,也将伊斯兰教传入上海地区。到元代,回回皆以中原为家,江南尤多,一些穆斯林军民迁居松江,修云间白鹤寺。明朝至清代中期,穆斯林人口缓慢增加,伊斯兰教在上海有一定程度的发展。     

Enhancing a Sense of Competence at Work by Engaging in Proactive Behavior: The Role of Proactive Personality

To understand how individuals’ senses of competence are cultivated, scholars have primarily focused on situational factors such as job autonomy and supervisor support. Against this backdrop, we propose that individuals can work as active agents and enhance their sense of competence by initiating actions that aim to master the environment. We adopt the behavioral concordance model and propose that people higher in proactive personality are more likely to engage in proactive behavior that elevates their senses of competence over time. We further propose that such behavioral concordance contributes to boosting a sense of competence is more prominent among those with higher proactive personality. Our predictions are supported by data from 172 employees and their direct supervisors in China, after controlling for the effect of job autonomy and supervisor support for autonomy. Specifically, only those higher in proactive personality engaged in more proactive behavior and increased their sense of competence over time. This study highlights both a self-initiated and a behavioral perspective on understanding the development of a sense of competence.     

The Mystery of Chinese People’s Happiness

The great improvement in economic wealth and social welfare over the decade doesn’t promote the Chinese people’s happiness. We construct a theoretical framework which covers economic wealth, social welfare, individual functional capability to explore the impact factors and determinants of the Chinese people’s happiness. Based on a national wide questionnaire survey in China, we test and modify the framework by the method of structural equation model. The empirical findings indicate that there are direct and indirect effects on the formation of happiness. For the direct effect, both the increasing of economic wealth and social welfare improves the national happiness, while the individual functional capability reduces it. For the indirect effect, the individual functional capability also reduces happiness by negatively affecting economic wealth and social welfare. The negative effect that played by individual functional capability overwhelms the positive effect played by economic wealth and social welfare. This causes the Chinese people’s happiness goes down while the economic wealth and social welfare are improving. Finally, we conclude that the Chinese people’s happiness is more about individual functional capability rather than social welfare or economic wealth.     

Cognitive diagnosis modelling incorporating item response times

To provide more refined diagnostic feedback with collateral information in item response times (RTs), this study proposed joint modelling of attributes and response speed using item responses and RTs simultaneously for cognitive diagnosis. For illustration, an extended deterministic input, noisy ‘and’ gate (DINA) model was proposed for joint modelling of responses and RTs. Model parameter estimation was explored using the Bayesian Markov chain Monte Carlo (MCMC) method. The PISA 2012 computer-based mathematics data were analysed first. These real data estimates were treated as true values in a subsequent simulation study. A follow-up simulation study with ideal testing conditions was conducted as well to further evaluate model parameter recovery. The results indicated that model parameters could be well recovered using the MCMC approach. Further, incorporating RTs into the DINA model would improve attribute and profile correct classification rates and result in more accurate and precise estimation of the model parameters.