加压素对记忆巩固过程作用的研究 Ⅲ.GABA能药物对加压素易化大白鼠被动回避反应的影响

本文以平台被动回避反应为行为模式,采用侧脑室微量注射AVP和GABA能受体激动剂蝇蕈醇(Muscimol)、受体拮抗剂印防己毒素(Picrotoxin),进一步研究了AVP易化记忆巩固效应及与中枢GABA能系统的关系。主要实验结果如下: 1.AVP对被动回避行为模式的学习训练过程无促进作用,但促进了这种行为的记忆巩固过程,注射AVP的动物记忆保持能力显著高于对照组动物,有效剂量为30ng/大鼠。 2.侧脑室注射100ng/大鼠蝇蕈醇后,AVP仍非常显著地保持其行为效应,但注射100ng/大鼠印防己毒素后,AVP的效应已见下降,剂量增至300ng/大鼠后,AVP的效应已被完全消除。 实验结果再次提示,加压素具有促进记忆巩固过程的中枢性效应,脑内GABA能神经元的活动可能参与了这种效应。     

视场大小对色光和白光的临界融合频率的影响

本实验采用闪烁光度法。刺激光为红光(670nm)、绿光(560nm)、蓝光(450nm)和白光。亮度级为200尼特、20尼特和2尼特。视场约为2°、1°、0.5°和0.25°。受试者3人,均属色觉正常者,具有一定实验经验。结果表明:在同一亮度级上,大小相同的视场内,绿光的CFF都明显地高于明度相同的红光和蓝光的CFF;在同一亮度级上,色光和白光的CFF都随着视场面积的增加而增加。并且CFF-Log面积接近线性关系;在不同亮度级上,CFF-Log面积的直线料率并不相同。2尼特时的直线斜率小于20尼特、200尼特时的直线斜率。     

独生与非独生儿童认知发展的比较研究(广州市)

为了研究中国独生子女政策可能造成的独生和非独生儿童的认知能力的差别,分别在广州七所小学一年级和五年级中选择了146名和171名独生与非独生儿童。用11项认知能力测验对这些儿童进行测查。一年级独生儿童在言语记忆和一般常识项目上的成绩优于非独生儿童。研究认为,一年级独生儿童在与一般认知能力有关的项目上具有优势。而五年级的独生儿童在认知作业成绩上,没有表现出显著性的优势。另外,独生男童在一般常识方面优于独生女童。作者用独生儿童受到较大的父母关注和投资来解释一年级独生对非独生儿童在认知方面的优势。随着儿童的自然成熟和学业教育,两者之间的差距会逐渐缩小,从而使五年级独生儿童未能在认知方面表现出明显的优势。     

Matter in its ‘infinity’

Consistent application of dialectical materialism leads Marxism-Leninism to the assertion that matter is infinite in its properties. However, the history of physics shows that the various levels of matter possess geometric dimensions that originate at the lowest level and continue through the others. The search for absolute natural constants — which Planck called the most pleasant task of physics — shows the conviction of the physicists that there is a limit to the parameters, a limit beyond which matter is no longer divisible. Translated by T. J. BLAKELEY     

It's not you,it's them: Social influences on trust propensity and trust dynamics

Scholars agree that trust primarily has two bases: trustworthiness—the extent to which a trustee is competent, honest, and has goodwill toward the trustor—and trust propensity—a stable trait reflecting the trustor's generalized belief that others can be trusted. Due to this trait characterization, the literature has largely reached a consensus that trust propensity is only an important base of trust in the earliest stage of a relationship—before information on trustworthiness has been gathered. Additionally, the trait conceptualization of trust propensity inhibits it from being modeled as an explanatory mechanism. Drawing on accessibility theory, a theory of trait activation, we argue that trust propensity has state‐like characteristics that are “activated” by the daily treatment an employee receives from coworkers. Our model highlights that the social context—predominantly ignored in prior trust research because of its lack of relevance to dyadic perceptions of trustworthiness—can have a substantial impact on dyadic trust. Across two multisource experience sampling methodology studies, we provide evidence that state trust propensity transmits the effects of citizenship and deviance received to trust in a focal coworker, whether that focal coworker is a source of that treatment or not. We also address how general levels of workplace unfairness—a between‐person construct—influence these dynamics. We discuss the theoretical and practical implications of these within‐person dynamics for fostering trust within organizations.     

The antinomy of science and democracy in modern China

Up to now Chinese academia has been addicted to inviting the twin goddesses of democracy and science, but has regrettably ignored the innate incongruity between them, which has led to the rise of scientism. May 4th pioneers first introduced this value system, but tension between these values subsequently led to a prevailing preference for science over freedom. The early Marxists defined freedom as obedience to social laws formulated in Marxist ‘science’, while Maoism finalized the Sinicization of Marxism with a belief in iron‐bound social laws and in human beings as mere political means, mercilessly suppressing any expression of free will.     

Bayesian Extended Redundancy Analysis: A Bayesian Approach to Component-based Regression with Dimension Reduction

Abstract

Extended redundancy analysis (ERA) combines linear regression with dimension reduction to explore the directional relationships between multiple sets of predictors and outcome variables in a parsimonious manner. It aims to extract a component from each set of predictors in such a way that it accounts for the maximum variance of outcome variables. In this article, we extend ERA into the Bayesian framework, called Bayesian ERA (BERA). The advantages of BERA are threefold. First, BERA enables to make statistical inferences based on samples drawn from the joint posterior distribution of parameters obtained from a Markov chain Monte Carlo algorithm. As such, it does not necessitate any resampling method, which is on the other hand required for (frequentist’s) ordinary ERA to test the statistical significance of parameter estimates. Second, it formally incorporates relevant information obtained from previous research into analyses by specifying informative power prior distributions. Third, BERA handles missing data by implementing multiple imputation using a Markov Chain Monte Carlo algorithm, avoiding the potential bias of parameter estimates due to missing data. We assess the performance of BERA through simulation studies and apply BERA to real data regarding academic achievement.     

Bootstrap区间估计在认知诊断模型误设中的应用

认知诊断模型选择是认知诊断评估中重要研究问题之一。在实际应用中实践者并不知道真正拟合数据的模型,通常会用模型拟合指标检验模型与数据的拟合程度。从测量结果质量来看,除保证模型与数据拟合之外,还需要重点评价模型诊断结果的信度和效度等。考虑到以往研究大都采用基于信息量的拟合指标去判定模型与数据的匹配性,本研究提出综合考虑模型拟合指标与信度指标用于模型选择或评价模型误设。考虑实验因素为真实模型或分析模型（DINA模型、G-DINA模型、R-RUM模型）、样本量、题量和属性个数,在五因素（3×3×2×2×2）实验设计条件下,比较Bootstrap区间估计的属性分类一致性信度平均数与标准误和常用的拟合统计量-2LL、AIC、BIC对正确模型的选择率。结果表明：-2LL在题目数量多的情况下表现较好,而AIC、BIC在被试量较大的情况下表现较好,在不同的研究条件下,-2LL、AIC、BIC的模型选择率很不稳定,而用Bootstrap法估计的属性分类一致性信度平均数和标准误在不同研究条件的模型选择率较稳定,总体表现较好。