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.     

合法性悖论:淘宝村民间团体的生存困境

大量淘宝网商在农村集聚,新兴"淘宝村"成为农村转型发展的模式之一,随之带来的是村内代表行业共同利益的民间团体不断涌现,这类新生团体的合法性建构及其面临的困境引人关注。一方面,自下而上发育的民间团体具有公众合法性能达致正常运转,却因无法获得体制合法性而陷入生存困境;另一方面,民间团体在获得体制合法性后却没有如预期般长期享受发展优势,反而动摇了先前的公众合法性,进入体制铁牢笼,同样也陷入生存困境,由此造成"合法性悖论"。公众合法性与体制合法性的冲突造成的"合法性悖论",反映了政府"体制控制"过强而民间团体自身对两类合法性的定位模糊,同时也体现了在市场转型日渐深入的背景下所凸显的"国家"与"社会"的矛盾。淘宝村社会组织的发展与"淘宝村"的未来前景息息相关,如何破解"合法性悖论",在当前背景下发挥民间团体的活力,其路径选择和发展模式也为社会治理提出了新的问题。     

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.     

A dynamic product quality evaluation based pricing model for perishable food supply chains

Waste stemmed from inappropriate quality control and excessive inventories is a major challenge for perishable food management in grocery retail chains. Improvement of visibility and traceability in food supply chains facilitated by tracking and tracing technologies has great potential to improve operations efficiency. This research aims to reduce food spoilage waste and maximise food retailer's profit through a pricing approach based on dynamically identified food shelf life. The proposed model is evaluated through different pricing policies to exploit the benefits from utilising accurate product shelf life information captured through innovated tracking and monitoring technologies. Numerical analysis is conducted in an illustrative case study.     

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.     

Estimation of the cumulative incidence function under multiple dependent and independent censoring mechanisms

Competing risks occur in a time-to-event analysis in which a patient can experience one of several types of events. Traditional methods for handling competing risks data presuppose one censoring process, which is assumed to be independent. In a controlled clinical trial, censoring can occur for several reasons: some independent, others dependent. We propose an estimator of the cumulative incidence function in the presence of both independent and dependent censoring mechanisms. We rely on semi-parametric theory to derive an augmented inverse probability of censoring weighted (AIPCW) estimator. We demonstrate the efficiency gained when using the AIPCW estimator compared to a non-augmented estimator via simulations. We then apply our method to evaluate the safety and efficacy of three anti-HIV regimens in a randomized trial conducted by the AIDS Clinical Trial Group, ACTG A5095.