Temporal Distribution of Attention During a Throwing Motion

A reaction-time measure of attention was employed during five segments of a simultaneous dart throw: premovement decision, immediately after recoil was begun, maximum recoil, immediately after forward movement was begun, and after release of the dart. Reaction time was significantly longer when the stimulus was presented during the first or second segment than during later segments. Reaction time during premovement was not consistently greater than that immediately after movement was begun, indicating that information is being sampled at a high rate after movement commences. It appears that monitoring of proprioceptive feedback after movement has begun, and initiation of corrective submovements, is necessary for skillful performance of dart throwing.     

高密度脂蛋白结构功能关系的基本规律及认识

量变质变规律是唯物辩证法的基本规律之一,它表明任何事物都是一定的质和一定的量的统一体。对高密度脂蛋白(HDL)研究角度的变化(从关注其血清水平到关注其结构功能关系),反映出量变质变规律对医学研究的重要指导作用。以系统论的方法来认识HDL,并在实际工作中抓住主要矛盾,就能更有成效地开展对HDL生理病理功能的研究。     

辩证看待干细胞移植的热化问题

现代科学技术的发展已经并正在给人类展现一个相互矛盾的事实：一方面是科学技术推动人类社会的巨大进步,促进社会生活的极大提高。如核能的利用、转基因作物、转基因治疗、动物克隆、干细胞的开发与应用等等,无不让人类充分地享受到现代科技带来的种种利益和好处。另外一方面人类的生存危机前所未有的加深,环境的恶化、水资源的污染、新的疾病和变异的菌种诞生等等。怎样运用哲学的理性的思维和方法来评判现代科技对人类的影响,摆脱其发展对社会所造成的两难困境,是一个必须解决的难题。以干细胞移植研究为例,如何辩证看待干细胞移植热化问题,如何运用哲学思维来看待干细胞移植的有利性和危害性,探究科学技术的可持续发展道路。     

从微创到肝移植巨创治疗肝癌的辩证思维

肝癌和患者机体是矛盾的对立统一体,要从全身总体的角度去看“肝癌”这一局部病变的问题。针对不同的肝癌患者、肝癌患者不同的发展时期,要辩证地选择和运用现有的“从微创到肝移植巨创”治疗肝癌的诸多方法,以减少、减轻或彻底解除肝癌对患者的伤害和痛苦。     

Performative contradiction and the regrounding for philosophical paradigms

As a unique method of philosophical argument, performative contradiction attracted general attention after the change in direction of pragmatics in the twentieth century. Hintikka used this method to conduct an in-depth analysis of Descartes’ proposition “I think, therefore I am,” providing a proof which is a model in the philosophical history; Apel absorbed performative contradiction into his own framework of a priori pragmatics; and Habermas introduced it into the theory of formal pragmatics and rendered it an effective weapon of debate. Wittgenstein, who had fallen into the trap of performative contradiction in Tractatus Logico-Philosophicus, later managed to extract himself from it and indeed used the methodology of performative contradiction to cure the ills of philosophy, making it a general philosophical method. Through analysis of its connotations and classic examples of its use we can see that it is crucial in refuting extreme relativism and skepticism, and hence provides methodological support for a new foundation for philosophical paradigms. Translated by Wang Xuan from Zhongguo Shehui Kexue 中国社会科学 (Social Sciences in China), 2007, (3): 67–76     

The optimality of the centroid method

The aim of this note is to show that the centroid method has two optimality properties. It yields loadings with the highest sum of absolute values, even in absence of the constraint that the squared component weights be equal. In addition, it yields scores with maximum variance, subject to the constraint that none of the squared component weights be larger than 1.This research is financed by NSERC of Canada. The author is grateful to Michel Tenenhaus for pointing the similarity of the procedures in the centroid method and Q-mode PCA in L₁. The author also thanks the editor and associate editor for providing shorter proofs of the theorems, along with the referees for their helpful comments.     

采用理想点方法检验生活取向测验及其修订版的单维性

该文从项目反应过程出发,认为可能是由于原有的维度分析方法将生活取向测验（LOT）及其修订版（LOT-R）这两个测验的项目反应理想点过程错误地限定为优势过程,导致两个测验违背单维性的结论;进而采用主成分分析的未旋转成分负荷散点图和对应分析的维度分数散点图,并结合项目相关矩阵法验证LOT和LOT-R的维度。结果显示LOT-R的单维性得到了验证,LOT由于包含两个测量应对的项目而导致违背单维性。最后作者提出应该与理想点过程相一致的心理计量学模型对LOT-R的数据进行分析。     

校长领导行为与校长类型

对3800名中小学教师和200名校长进行问卷施测,考察校长工作角色五个方面的相互关系,并在此基础上对校长领导行为进行聚类分析,得到四个类型。四种类型校长所在学校的组织气氛和学校效能感均有显著差异。     

A model-based approach to multivariate principal component regression: Selecting principal components and estimating standard errors for unstandardized regression coefficients

Principal component regression (PCR) is a popular technique in data analysis and machine learning. However, the technique has two limitations. First, the principal components (PCs) with the largest variances may not be relevant to the outcome variables. Second, the lack of standard error estimates for the unstandardized regression coefficients makes it hard to interpret the results. To address these two limitations, we propose a model-based approach that includes two mean and covariance structure models defined for multivariate PCR. By estimating the defined models, we can obtain inferential information that will allow us to test the explanatory power of individual PCs and compute the standard error estimates for the unstandardized regression coefficients. A real example is used to illustrate our approach, and simulation studies under normality and nonnormality conditions are presented to validate the standard error estimates for the unstandardized regression coefficients. Finally, future research topics are discussed.