布朗功能学派理论对林耀华东南宗族研究的影响

通过比较林耀华早期的经验研究和1936年拉德克里夫-布朗（A .R .Radcliffe-Brown）在燕京大学的讲学课程，发现了二者在社区研究等理论方面的相通之处。林耀华通过在东南宗族乡村作出的实地调查，发现宗族的社会学特点：宗族的经济功能基于血亲间的分工合作，其情感结构面向祖先和国家，是开放而又复合的。在面对市场时，宗族作为整体积极参与其中。在面对国家时，宗族接纳了国家的权力系统。宗族即是布朗所讲的“活”的功能体，具备适应现代化的能力。因此，林耀华一直坚持用宗族作为中国社会现代化问题的研究单位。     

上海建设全球领先的中医药高地研究

按照《关于促进中医药传承创新发展的意见》要求及健康中国、健康上海、上海中医药发展战略部署,坚持中西医并重,遵循中医药发展规律,传承精华,守正创新,以人民健康为中心,以满足城乡居民的中医药健康需求为出发点和落脚点,以健全中医药服务体系、提升服务能力水平为重心,以促进传承创新发展为关键,以建设高素质人才队伍为基础,以健康产业为重要支柱,以建立中医药现代化治理体系为支撑,全面推动上海中医药事业和产业高质量发展.     

D-1,2,4-丁三醇的绿色合成

D-1,2,4-丁三醇(D-1,2,4-butanetriol,BT)是四碳的手性多羟基醇,同时也是极具价值的有机合成中间体,应用十分广泛,特别是在医药和军事工业领域。目前D-1,2,4-丁三醇的工业化生产仍以化学合成法为主,该方法存在反应条件苛刻、产率低、副产物多,易引发环境污染等弊端。目前,利用合成生物学技术,安全高效的生物合成该化学品成为研究的热点。本文评述了D-1,2,4-丁三醇的化学合成和生物合成,以期为D-1,2,4-丁三醇的绿色合成提供理论基础。     

基于统计检验的企业生命周期判定方法比较

文章选取32家中国上市汽车企业作为研究对象,分别用综合指标法和主成分分析法对企业所处生命周期进行判定,再利用Wilcoxon符号秩检验和kappa—致性检验对两种判定结果进行检验对比,从而得出结论:综合指标法和主成分分析法均科学有效,但在具体应用时各有所长.Wilcoxon符号秩检验和kappa—致性检验叠加运用效果较好,且检验结果具有一致性.     

金融危机以来美国贸易逆差的调整目标区间考察

2008年金融危机以来,美国长期巨额贸易逆差调整广受关注,此问题涉及到调整目标和调整成效的讨论.美国贸易逆差调整的目标主要包括四个方面:一是把控国际贸易秩序的话语权;二是推进再工业化,抢占新一轮产业革命的制高点;三是保持经济相对稳定增长、相对充分的就业与低通胀;四是继续维持美元霸权地位.金融危机后的再工业化战略实施及美国贸易政策的调整使得美国商品贸易逆差幅度缩小,目标逐步趋近,预计以美国贸易逆差占GDP的比重来衡量的调整目标将在一定区间内继续波动,但较21世纪以来的近二十年收窄.而COVID-19疫情的冲击将使美国贸易逆差的调整目标开始偏向经济复苏与经济增长.     

Feature screening in ultrahigh-dimensional additive Cox model

The additive Cox model is flexible and powerful for modelling the dynamic changes of regression coefficients in the survival analysis. This paper is concerned with feature screening for the additive Cox model with ultrahigh-dimensional covariates. The proposed screening procedure can effectively identify active predictors. That is, with probability tending to one, the selected variable set includes the actual active predictors. In order to carry out the proposed procedure, we propose an effective algorithm and establish the ascent property of the proposed algorithm. We further prove that the proposed procedure possesses the sure screening property. Furthermore, we examine the finite sample performance of the proposed procedure via Monte Carlo simulations, and illustrate the proposed procedure by a real data example.     

Analysis of dependently truncated data in Cox framework

Truncation is a known feature of bone marrow transplant (BMT) registry data, for which the survival time of a leukemia patient is left truncated by the waiting time to transplant. It was recently noted that a longer waiting time was linked to poorer survival. A straightforward solution is a Cox model on the survival time with the waiting time as both truncation variable and covariate. The Cox model should also include other recognized risk factors as covariates. In this article, we focus on estimating the distribution function of waiting time and the probability of selection under the aforementioned Cox model.