经皮冠状动脉介入治疗(PCI)后无复流现象的综合解析

现已证明无复流现象的发生会明显降低经皮冠状动脉介入治疗(PCI)效果,影响患者近、远期预后.应用综合思维探讨无复流现象发生的机理、制定预防策略至关重要.     

可拓逻辑研究展望

可拓学是由我国学者自主创立的一门新学科,它研究以形式化的模型分析事物拓展的可能性和开拓创新的规律,形成解决矛盾问题的方法。中国科学院权威杂志《科学通报》在评论文章中指出:“可拓学是一门充满生命力的新学科,它的创立是中国人的骄傲,它不仅属于中国,更属于世界。”[1]经过30年的不断开拓,可拓学已经发展成为一门横跨哲学、数学与工程学的交叉学科,我们哲学界也可以积极对相关问题进行科学的研究和探索。本文拟从逻辑的角度谈谈可拓逻辑的研究设想,以期能够引起哲学界、逻辑学界对可拓学研究的关注。一可拓逻辑的研究价值人类的历史…     

明代"西天僧"考略

元末明初,来自“西天”迦湿弥罗的佛教僧人萨哈拶释哩在中国传法弘道十余年。他去世后,中国弟子智光宗承师说,发扬传承,从而在中国形成了一个具有鲜明印度密教特征的佛教教团,即“西天僧”。这个教团以北京地区为中心,与宫廷皇室及宦官有着十分密切的关系,地位尊崇。其宗教影响也进入到宫廷之中。     

社会判断的选择通达理论

比较是社会判断的核心过程。近期,Mussweile提出了选择通达理论模型,该模型区分了比较中两个基本的假设过程,整合了比较中的多种结果,为人们更好地理解判断的本质提供了一个新视角。本文主要介绍了选择通达的过程、结果及其存在的普遍性,并讨论了参照点运用和选择通达机制之间的区别和联系。     

Prolonged subjective duration near the hands: Effects of hand proximity on temporal reproduction

Psychonomic Bulletin & Review - It has been reported that human visual perception and attention are altered when the hands are nearby. Previous studies indicate that placing hands near stimuli...     

Cognitive aspects of chronic depression

Previous research on chronic depression has focused on its link with other mood disorders and Axis II personality disorders. However, there are few data examining whether the cognitive perspective applies to this condition. In this cross-sectional study, 42 outpatients with chronic depression were compared with 27 outpatients with nonchronic major depressive disorder and 24 never psychiatrically ill controls on cognitive variables thought to be related to vulnerability to depression (e.g., dysfunctional attitudes, attributional style, a ruminative response style, and maladaptive core beliefs). Both depressed groups were more elevated than a never-ill comparison group. However, chronically depressed individuals were generally more elevated on measures of cognitive variables than those with major depressive disorders even after controlling for mood state and personality disorder symptoms.     

A Bayesian Power Analysis Procedure Considering Uncertainty in Effect Size Estimates from a Meta-analysis

In conventional frequentist power analysis, one often uses an effect size estimate, treats it as if it were the true value, and ignores uncertainty in the effect size estimate for the analysis. The resulting sample sizes can vary dramatically depending on the chosen effect size value. To resolve the problem, we propose a hybrid Bayesian power analysis procedure that models uncertainty in the effect size estimates from a meta-analysis. We use observed effect sizes and prior distributions to obtain the posterior distribution of the effect size and model parameters. Then, we simulate effect sizes from the obtained posterior distribution. For each simulated effect size, we obtain a power value. With an estimated power distribution for a given sample size, we can estimate the probability of reaching a power level or higher and the expected power. With a range of planned sample sizes, we can generate a power assurance curve. Both the conventional frequentist and our Bayesian procedures were applied to conduct prospective power analyses for two meta-analysis examples (testing standardized mean differences in example 1 and Pearson's correlations in example 2). The advantages of our proposed procedure are demonstrated and discussed.     

Reevaluating the two-representation model of numerical magnitude processing

One debate in mathematical cognition centers on the single-representation model versus the two-representation model. Using an improved number Stroop paradigm (i.e., systematically manipulating physical size distance), in the present study we tested the predictions of the two models for number magnitude processing. The results supported the single-representation model and, more importantly, explained how a design problem (failure to manipulate physical size distance) and an analytical problem (failure to consider the interaction between congruity and task-irrelevant numerical distance) might have contributed to the evidence used to support the two-representation model. This study, therefore, can help settle the debate between the single-representation and two-representation models.