Chinese Buddhist Religious Disputation

From about the fourth to the tenth century Buddhist monks in China engaged in formal, semi-public, religious disputation. I describe the Indian origins of this disputation and outline its settings, procedures, and functions. I then propose that this disputation put its participants at risk of performative contradiction with Buddhist tenets about language and salvation, and I illustrate how some chinese Buddhists attempted to transcend these contradictions, subverting disputation through creative linguistic and extra- linguistic strategies.     

关于阵发性心房纤颤是否需要抗凝治疗的思考

阵发性心房纤颤与持续性心房纤颤同样面临着缺血性脑卒中风险,而关于阵发性房颤是否需要华法林抗凝治疗是目前争论热点问题。阵发性房颤是否抗凝治疗使患者面临着严重出血或血栓栓塞风险。循证医学论证了阵发性房颤抗凝治疗必要性及风险性,并且由于阵发性房颤患者有着不同的脑卒中及出血风险,个体差异的绝对性和多样性客观上要求对患者进行风险／效益比评估,在循证医学基础上进行个体化治疗。     

感知音乐音质的EEG探究

欣赏音乐是一种审美的体验活动,不同的音质会使人产生不同的感受。为探究音乐和EEG的关系,本文选用音乐《黑人舞曲》,运用主成分分析等方法,研究了11位在校大学生在欣赏不同音质音乐时的EEG特征。结果发现:在欣赏不同音质音乐时大脑皮层右颞等处快波功率差异显著。大脑对音乐的精细加工与大脑右颞等区的电活动密切相关。     

移植物抗宿主病与移植物抗肿瘤的处置

移植物抗宿主病与移植物抗肿瘤是当前异基因造血干细胞移植中一对不可调和的矛盾。在解决这一矛盾方面,科学家们已取得了很大的进展。随着移植学、免疫学的发展和认识的深入,最终能够最大限度的削弱移植物抗宿主病,增强移植物抗肿瘤效应,提高移植后患者的生存质量。     

Redundancy analysis an alternative for canonical correlation analysis

A component method is presented maximizing Stewart and Love's redundancy index. Relationships with multiple correlation and principal component analysis are pointed out and a rotational procedure for obtaining bi-orthogonal variates is given. An elaborate example comparing canonical correlation analysis and redundancy analysis on artificial data is presented.A Fortran IV program for the method of redundancy analysis described in this paper can be obtained from the author upon request.     

Principal component analysis of three-mode data by means of alternating least squares algorithms

A new method to estimate the parameters of Tucker's three-mode principal component model is discussed, and the convergence properties of the alternating least squares algorithm to solve the estimation problem are considered. A special case of the general Tucker model, in which the principal component analysis is only performed over two of the three modes is briefly outlined as well. The Miller & Nicely data on the confusion of English consonants are used to illustrate the programs TUCKALS3 and TUCKALS2 which incorporate the algorithms for the two models described.