基于隐结构和网络药理学探讨泛血管疾病用药证型及作用机制

通过计算机技术探讨中医药治疗泛血管疾病的用药证型及可行性,为临床治疗及新药研发提供客观参考依据。检索《中华人民共和国药典》2020版治疗血管类疾病的中成药,进行数据分析;运用Lantern 5.0,进行隐结构分析,对所得Z5组药物进行网络药理学预测及分子对接验证。得到相关中成药79个,涉及中药156味,其中高频中药有丹参、川芎、三七等,功效以补虚药、活血化瘀药为主,以温性药最多,药味以甘、苦为主,入肝、心经;通过隐结构分析推测出常见证候有气虚血瘀、痰瘀阻络、阴阳两虚、阴虚血瘀、气滞血瘀5种。可见泛血管疾病总体是因虚致病,虚实夹杂,气虚血瘀,临床治疗以活血化瘀为主,随证配合补气行气、温阳滋阴、化痰等治法。通过网络药理学及分子对接发现Z5组药物可能通过主要活性成分槲皮素、黄芩素、山奈酚等,激活流体剪切应力与动脉粥样硬化、AGE-RAGE信号通路在糖尿病并发症中的作用、血脂和动脉粥样硬化等信号通路,作用于TNF、AKT1、PTGS2等靶点,干预炎症、细胞增殖和凋亡、脂质代谢等过程而发挥抗动脉粥样硬化作用,从而治疗泛血管疾病,说明通过计算机技术分析已有数据在探索治疗疾病上有其一定的有效性及可能性。     

Exploration of TCM Masters Knowledge Mining

Traditional Chinese medicine （TCM） has a rich knowledge about human health and disease by its special way evolved along a very long history. As modern medicine is achieving much progress, arguments and disputes toward TCM never end. To avoid losing precious knowledge of living TCM masters, endeavors have been engaged to systematic collection of those knowledge of TCM masters, such as their growth experiences, effective practical cases toward diseases and typical therapeutic principles and methods. Knowledge mining methods have been expected to explore some useful or hidden patterns to unveil some mysteries of the TCM system. In the paper, some computerized methods are applied toward those collected materials about some living TCM masters in China mainland to show a different way of exposing essential ideas of those TCM masters by correspondence visualization which aims to help people understand TCM holistic views toward disease and body, and facilitate tacit knowledge transfer and sense-making of the essence of TCM. The work is one kind of qualitative meta-synthesis of TCM masters＇ knowledge.     

复杂电磁环境生灭模型及特征生成

复杂电磁环境主要由各类辐射源辐射的电磁信号交互作用而产生。应用随机理论,建立了辐射源的生灭过程模型,采用蒙特卡洛方法动态仿真辐射源状态;建立了给定目标点的有效辐射源筛选、功率密度计算和辐射脉冲流密度计算模型;给出了仿真流程。满足电磁环境仿真的适应性、动态性和实时性需求。

Abstract：

Complex electromagnetic environment comes from many different radiations and their interaction. A birth-death model of radiant points was built on the stochastic theory, and then the states of radiant points were dynamically simulated by Monte Carlo. Some characters creating models were built, including model of filtering valid radiant points, model of power density computing and model of pulse steam density computing. Finally, a simulation process was proposed. All of those have met electromagnetic environment simulation requirement in adaptability, dynamic and real-time.     

河南棉花新品种数量性状的典型相关和通径分析

通过对河南省2006年春棉品种区试10个品种的产量、植株及纤维品质性状组的典型相关与通径分析得出：选择生育期短、株高中等偏高、果枝节位低、果枝台数多的性状,有利于增加株铃,提高铃质量,并能间接增进主要纤维品质,确为选育高产优质棉花新品种的有效途径。但在选择结铃性强的植株性状时,应防止降低铃质量。从性状相关性间接选择对衣分无效,应通过室内考种择优选取。表11,参11。     

毛泽东系统思想与方法析源

毛泽东系统思想和方法,是对中国古代系统思维方法和马列主义系统思想与方法的继承和发展,是毛泽东哲学思想的重要组成部分。毛泽东在领导中国人民进行革命和建设的过程中,科学吸收了中国古代系统思维方法和马克思列宁主义系统思想中的系统始基、系统整体性、系统相关性、系统层次结构性、系统协同倍增等思想和方法,形成了独具特色的系统思想和方法。     

DOES INVESTOR SENTIMENT PREDICT STOCK RETURNS？ THE EVIDENCE FROM CHINESE STOCK MARKET

This paper examines the proxy variables of investor sentiment in Chinese stock market carefully, and tries to construct an investor sentiment index indirectly. We use cross correlation analysis to examine lead-lag relationship between the proxy variables and HS300 index. The results show that net added accounts （NAA）, SSE share turnover （TURN）, and closed-end fund discount （CEFD） are leading variables to stock market. The average first day return of IPOs （RIPO） and relative degree of active trading in equity market （RDAT） are contemporary variables, while number of IPOs （NIPO） is a lagging variable of stock market. Using the sentiment proxy variables with most possible leading order, and forward selection stepwise regression method, the empirical results on monthly stock returns reveal that three leading proxy variables can be used to form a sentiment index. And the out of sample tests prove that this sentiment index has good predictive power of Chinese stock market, and it is robust.     

中国城乡居民消费乘数效应的比较研究

基于社会核算矩阵(SAM)乘数理论和中国细化社会核算矩阵,本文对中国城乡居民消费乘数效应进行了比较研究.分别测算了按不同收入分组的中国城乡居民关于七类商品的账户乘数效应和固定价格乘数效应.并对账户乘数效应和固定价格乘数效应进行了比较研究.分析了中国城乡居民的消费潜力,并揭示了其消费需求结构特征和不同收入水平的居民在消费潜力上的差异.     

论戴震与西学

戴震是乾嘉学术的杰出代表,他从徽州乡野来到京师后,以素衣秀才的身份在很短时间内就声重京师,名公卿争相交焉,其学术何以迅速得到认同,是当今学术界悬而未决的问题。文章通过梅文鼎、梅瑴成、江永、戴震等对待西学问题的考察,说明戴震在前人的基础上以中学替换西学的特有方式,使人耳目一新。其学术地位的迅速确立,与他在西学东渐的学术变革时期,适时地顺应了朝廷的文化心态有关,由此也凸显了传统士大夫在学术与政治之间的艰难应对。     

再论科技术语汉译方法的变迁

 在不同历史时期,中国科技术语汉译特点分明。西汉至宋元时期,有零星的术语翻译现象。明清 时期,西方科技著作被大量译介到中国,利玛窦、徐光启、傅兰雅、徐寿、严复等中外学者创造性地研究 利用汉字或汉字系统,奠定了科技术语汉译的基本方法;与此同时,大量日本人用汉字翻译的西方术语也 进入中国。20世纪80年代以后,中国科技术语的汉译方法形成了五种常用方法：意译、音译、形译、意音 兼顾和创新译法。     

The complexity of reconstructing trees from qualitative characters and subtrees

In taxonomy and other branches of classification it is useful to know when tree-like classifications on overlapping sets of labels can be consistently combined into a parent tree. This paper considers the computation complexity of this problem. Recognizing when a consistent parent tree exists is shown to be intractable (NP-complete) for sets of unrooted trees, even when each tree in the set classifies just four labels. Consequently determining the compatibility of qualitative characters and partial binary characters is, in general, also NP-complete. However for sets of rooted trees an algorithm is described which constructs the “strict consensus tree” of all consistent parent trees (when they exist) in polynomial time. The related question of recognizing when a set of subtrees uniquely defines a parent tree is also considered, and a simple necessary and sufficient condition is described for rooted trees. This work was supproted by the Alexander von Humoldt-Stiftung. I wish to thank Andreas Dress, Hans-Jürgen Bandelt and the referees for their helpful comments.