焦虑调节：接受策略与表达抑制、认知重评策略之比较

情绪调节策略研究已经成为近年来心理学研究的热点课题。回顾近十年来关于焦虑的情绪调节策略研究,重点介绍了其中有着新理念、新视角的情绪调节策略——接受策略,并将其与表达抑制和认知重评两种情绪调节策略进行对比,发现接受策略对于焦虑而言是一种有效的调节策略,而且初步得出其作用效果优于表达抑制策略,但可能不及认知重评策略。最后从情绪调节策略的研究趋势、情绪调节策略对心理治疗和心理健康教育等的潜在价值三个方面进行了探讨。     

Improving spatial abilities through mindfulness: effects on the mental rotation task

In this study, we demonstrate a previously unknown finding that mindful learning can improve an individual’s spatial cognition without regard to gender differences. Thirty-two volunteers participated in the experiment. Baselines for spatial ability were first measured for the reaction time on the mental rotation task. Next, the participants were randomly assigned to either a mindful or mindless learning condition. After learning, the mental rotation task showed that those in the mindful learning condition responded faster than those in the mindless learning condition. This study provides promising evidence for applying mindful learning to education.     

Internet self-efficacy, the need for cognition, and sensation seeking as predictors of problematic use of the internet

We conducted a study of the relationships between Internet self-efficacy, sensation seeking, the need for cognition, and problematic use of the Internet. The study was based on a randomly selected sample of 979 adult Internet users. Hierarchical multiple regression analysis of these subjects' responses on a questionnaire consisting of relevant items indicated that Internet self-efficacy and sensation seeking positively predicted problematic Internet use. Contrastingly, the need for cognition was significantly negatively associated with problematic Internet use.     

赖氨酰氧化酶在动脉粥样硬化中的作用

赖氨酰氧化酶(lysyl oxidase,LOX)是一种铜依赖性氨基氧化酶,在多个组织器官中均有表达,能参与催化细胞外基质(extracellular matrix,ECM)中胶原和弹性纤维的赖氨酸残基交联,以维持细胞外基质的结构和功能正常.新近研究发现LOX与动脉粥样硬化亦有紧密关系.本文就LOX在动脉粥样硬化发生、发展过程中的联系作一综述.     

西方细菌学在中国的传播:1894-1949

西方现代细菌学19世纪中叶到20世纪初首先在法国建立,并在德国进一步发展.这一时期,也被介绍到中国.其进入中国有以下几条线索:传教士和来华医生带来有关知识;去西方留学人员带回有关新知识;西方细菌学研究机构在华设立分支机构;战争因素.     

Exemplar models as a mechanism for performing Bayesian inference

Probabilistic models have recently received much attention as accounts of human cognition. However, most research in which probabilistic models have been used has been focused on formulating the abstract problems behind cognitive tasks and their optimal solutions, rather than on mechanisms that could implement these solutions. Exemplar models are a successful class of psychological process models in which an inventory of stored examples is used to solve problems such as identification, categorization, and function learning. We show that exemplar models can be used to perform a sophisticated form of Monte Carlo approximation known as importance sampling and thus provide a way to perform approximate Bayesian inference. Simulations of Bayesian inference in speech perception, generalization along a single dimension, making predictions about everyday events, concept learning, and reconstruction from memory show that exemplar models can often account for human performance with only a few exemplars, for both simple and relatively complex prior distributions. These results suggest that exemplar models provide a possible mechanism for implementing at least some forms of Bayesian inference.     

Moderating effect of Zhong Yong on the relationship between creativity and innovation behaviour

The present study examined the moderating effect of Zhong Yong on the relationship between perceived creativity and innovation behaviour in Chinese companies. A total of 273 paired questionnaires were collected with employee self-rated creativity and Zhong Yong and supervisor-rated innovation behaviour. The results show that for people higher on Zhong Yong, their creativity was not correlated with innovation behaviour; for people less immersed in Zhong Yong, this correlation is significant. This finding provides a new insight into the effects of Zhong Yong on the creativity-innovation behaviour transformation processes. The implications for future research are also discussed.     

一致的先前知识对类别学习影响机制探讨

探讨一致的先前知识对类别学习的影响,包括2个实验。被试是112名大学生,分别探讨不同实验任务和不同项目呈现时间引发的机械特征在类别学习中的重要程度和加工程度不同的情况下先前知识对类别学习的影响。结果表明:(1)在实验任务为项目类别归属判断任务时,机械特征重要程度低,主题特征与机械特征在学习上存在竞争关系;在实验任务为项目类别归属及记忆任务时,机械特征重要程度高,主题特征与机械特征在学习上存在促进关系。(2)在限制步速呈现项目时,机械特征加工程度低,主题特征与机械特征在学习上存在竞争关系;而在自定步速呈现项目时,机械特征加工程度高,主题特征与机械特征在学习上不存在竞争关系。     

阿伦·奈斯的深层生态学思想

阿伦·奈斯开创了当代环境哲学研究的一个全新领域。他不仅为深层生态学建立了较为完整的框架体系,而且也为深层生态学的发展提供了重要的理论基础(生态智慧T)。对于深层生态学的研究者来说,不系统地认识奈斯的思想就无法深刻地理解深层生态学。     

任务难度和反馈学习对儿童类比推理能力的影响

该研究采用情景类比任务,通过两个实验对180名小学生进行纸笔测验,探讨了任务难度对儿童类比推理能力的影响.结果发现:进行反馈学习以降低任务难度时,7～8岁儿童能完成更高年龄段儿童才能完成的任务;但增加任务难度,11岁以上儿童也表现出类比推理能力的弱化.结果提示,儿童是否能在类比推理任务中表现出相应的能力可能取决于任务难度,反馈学习可促进一定年龄段内儿童的类比推理能力发展.本结果为有机融合皮亚杰和Goswami等人的观点提供了有效的实验依据.