PTEN、p53和BAG-1在三阴乳腺癌中的表达及意义

为了研究PTEN、p53和BAG-1在三阴乳腺癌中的表达情况及临床病理意义,并讨论三者之间的关系.采用免疫组织化学SP法检测89例三阴乳腺癌中PTEN、p53、BAG-1的表达,其阳性表达率分别为44.9％、47.2％、73.0％,三者的表达均与患者的病理组织学分级、淋巴结转移情况有关(P＜0.05).PTEN的表达与p53、BAG-1表达呈负相关;BAG-1与p53的表达呈正相关,提示三者在三阴乳腺癌中的表达存在一定关联性,临床上联合检测三者可能为TNBC预后评估、患者的个体化治疗提供一定的参考.     

From criticism to approval: A reconsideration of Ji’s Yogācāra position on Madhyamaka

Madhyamaka and Yogācāra are two Mahāyāna schools which have distinct systems. In the seventh century East Asia, the doctrinal distinction between the two schools was received as doctrinal contrast in the polemic circumstance of Emptiness-Existence (C. kongyou 空有) controversy. In this context, Ji 基 (632–682), the putative founder of East Asian Yogācāra school, has been normally considered by scholars to have advocated ‘Existence’ (viz., Yogācāra) in opposition to ‘Emptiness’ (viz., Madhyamaka). It is problematic, however, to brand Ji’s Yogācāra position simply as anti-Madhyamaka. Although Ji evidently expresses evident criticism on such a Madhyamaka exegete as Bhāvaviveka (ca. 500–570) in some of his works, he also describes Bhāvaviveka in an amicable or even respective way in other works. By analyzing Ji’s extant works, this article argues that Ji’s scholastic attitude toward Madhyamaka changed from criticism to approval.     

儿童欺负/受欺负与同伴网络的关系：p*模型分析

从四所小学的10个班中挑选出高欺负-受欺负班和低欺负-受欺负班,使用p^*模型分析班内朋友关系的网络结构特点及其与欺负、受欺负的关系。结果发现：（1）低欺负-受欺负班级中的同伴关系网络倾向于形成开放性朋友关系结构,如边、2-星、3-星、4-星结构;高欺负-受欺负班级中的同伴关系网络倾向于形成闭合性朋友关系结构,如三角形、孤立者结构;（2）高、低欺负-受欺负班级中,欺负者均处于同伴关系网络的边缘化位置,且所处的关系结构位置与自身欺负水平的关联不显著;（3）受欺负者所处的关系结构位置与自身受欺负水平的关联也不显著,但是在低欺负-受欺负班中,受欺负者倾向处于同伴关系网络的边缘化位置,而高欺负-受欺负班中,部分受欺负者处于边缘化位置,部分受欺负者处于闭合性关系结构的核心位置。     

Hail the impossible: p-values, evidence, and likelihood

Significance testing based on p-values is standard in psychological research and teaching. Typically, research articles and textbooks present and use p as a measure of statistical evidence against the null hypothesis (the Fisherian interpretation), although using concepts and tools based on a completely different usage of p as a tool for controlling long-term decision errors (the Neyman-Pearson interpretation). There are four major problems with using p as a measure of evidence and these problems are often overlooked in the domain of psychology. First, p is uniformly distributed under the null hypothesis and can therefore never indicate evidence for the null. Second, p is conditioned solely on the null hypothesis and is therefore unsuited to quantify evidence, because evidence is always relative in the sense of being evidence for or against a hypothesis relative to another hypothesis. Third, p designates probability of obtaining evidence (given the null), rather than strength of evidence. Fourth, p depends on unobserved data and subjective intentions and therefore implies, given the evidential interpretation, that the evidential strength of observed data depends on things that did not happen and subjective intentions. In sum, using p in the Fisherian sense as a measure of statistical evidence is deeply problematic, both statistically and conceptually, while the Neyman-Pearson interpretation is not about evidence at all. In contrast, the likelihood ratio escapes the above problems and is recommended as a tool for psychologists to represent the statistical evidence conveyed by obtained data relative to two hypotheses.     

p63在涎腺肿瘤组织研究的思考

通过对p53家族成员p63的结构、机能和在组织发育和肿瘤发生中的作用及其在涎腺肿瘤组织表达的研究的回顾,我们体会到p63分子复杂性所蕴涵的深刻哲学内涵,如其在细胞周期调控和凋亡的作用。这种研究使我们认识到应该用辨证的思维方法去认识分析客观事物。     

Fisher与Neyman–Pearson的分歧与心理统计中的假设检验争议

假设检验思想的提出者Fisher与Neyman–Pearson在统计模型的方法论基础、两类错误的性质、显著性水平的理解、以及假设检验的功能等方面存在诸多分歧, 使得心理统计中最常用的原假设显著性检验模式呈现出隐含的各种矛盾, 从而引发了应用上的争议。心理统计不仅需要检讨现有检验模型的模糊之处和提出其他补充性的统计推论方式,更应注重反思心理统计的教育传统, 以建立更加开放和多元的统计应用视野, 使心理统计为更好地心理学研究服务。     

社会网络分析在心理研究中的应用

个体不是孤立存在的, 其心理与行为的变化常依赖于与他人存在的关系。社会网络分析正是考虑到了这种依赖性, 发展出相应的处理关系变量的方法。在介绍社会网络理论的中心思想、社会网络分析的基本概念、数据表示方法和研究方法以及在个体水平和关系水平上的静态统计模型后, 使用UCINET软件展现了处理关系数据的基本步骤, 并简述社会网络分析在人格心理学、发展与教育心理学和管理心理学中的应用。     

Comparing one-step m-estimators of location corresponding to two independent groups

Experience with real data indicates that psychometric measures often have heavy-tailed distributions. This is known to be a serious problem when comparing the means of two independent groups because heavy-tailed distributions can have a serious effect on power. Another problem that is common in some areas is outliers. This paper suggests an approach to these problems based on the one-step M-estimator of location. Simulations indicate that the new procedure provides very good control over the probability of a Type I error even when distributions are skewed, have different shapes, and the variances are unequal. Moreover, the new procedure has considerably more power than Welch's method when distributions have heavy tails, and it compares well to Yuen's method for comparing trimmed means. Wilcox's median procedure has about the same power as the proposed procedure, but Wilcox's method is based on a statistic that has a finite sample breakdown point of only 1/n, wheren is the sample size. Comments on other methods for comparing groups are also included.     

States on Pseudo MV-Algebras

Pseudo MV-algebras are a non-commutative extension of MV-algebras introduced recently by Georgescu and Iorgulescu. We introduce states (finitely additive probability measures) on pseudo MV-algebras. We show that extremal states correspond to normal maximal ideals. We give an example in that, in contrast to classical MV-algebras introduced by Chang, states can fail on pseudo MV-algebras. We prove that representable and normal-valued pseudo MV-algebras admit at least one state.