美国印第安人生存模式的重构——路易丝·厄德里奇《痕迹》的后殖民解读

文章从后殖民视角出发,通过细读美国印第安女作家路易丝·厄德里奇的《痕迹》,探讨美国印第安人生存模式的变化和重构,揭露白人殖民者对印第安人所造成的严重后果,以唤起人们对当今美国印第安人生存状况的关注和对如何保存和发展印第安传统文化的思考。在当今全球化的时代背景下,研究《痕迹》这部小说有一定的启迪意义：在传承本民族优秀文化的同时,印第安文化应与其他文化积极交流,善于从其他文化中吸收有利于本族文化发展的积极成分,从而使美国印第安人在多元文化中找到自己的位置并发出自己的声音。     

如何发现DNA是生命的遗传物质

从核酸的发现到DNA双螺旋结构模型建立历时80余年,人类最终确认了DNA是生命的遗传物质,解决了一个生命科学研究中极其关键的重大问题。因此,对此段历史的研究具有重要意义。全面回顾此间发生的对揭示DNA的结构和功能具有重要影响的事件,包括米歇尔发现核酸、列文提出＂四核苷酸假说＂、格里菲斯等人的转化实验、査伽夫提出碱基配对规律,以及沃森和克里克建立DNA双螺旋结构模型,在此基础上阐述人类发现DNA是遗传物质的研究历程,进而探讨科学研究的规律。     

软法与高校规章制度正当性构建

目前研究高校规章制度的行政法进路,无法为高校规章制度乱象治理提供有效药方。软法理论为高校规章制度的合法性构建提供了新思路、新工具。将高校规章制度定性为软法,有益于培育高校的理性自治品格,控制大学自治权力蜕变为社会专制。应基于软法的机理,重塑高校规章制度的正当性。     

The “Silent Dog” Method: Analyzing the Impact of Self-Generated Rules When Teaching Different Computer Chains to Boys with Autism

The purpose of the study was to extend the literature on verbal self-regulation by using the “silent dog” method to evaluate the role of verbal regulation over nonverbal behavior in 2 individuals with autism. Participants were required to talk-aloud while performing functional computer tasks.Then the effects of distracters with increasing demands on target behavior were evaluated as well as whether self-talk emitted by Participant 1 could be used to alter Participant 2''s performance. Results suggest that participants'' tasks seemed to be under control of self-instructions, and the rules generated from Participants 1''s self-talk were effective in teaching computer skills to Participant 2. The silent dog method was useful in evaluating the possible role of self-generated rules in teaching computer skills to participants with autism.     

Semiparametric regression methods for temporal processes subject to multiple sources of censoring

Process regression methodology is underdeveloped relative to the frequency with which pertinent data arise. In this article, the response-190 is a binary indicator process representing the joint event of being alive and remaining in a specific state. The process is indexed by time (e.g., time since diagnosis) and observed continuously. Data of this sort occur frequently in the study of chronic disease. A general area of application involves a recurrent event with non-negligible duration (e.g., hospitalization and associated length of hospital stay) and subject to a terminating event (e.g., death). We propose a semiparametric multiplicative model for the process version of the probability of being alive and in the (transient) state of interest. Under the proposed methods, the regression parameter is estimated through a procedure that does not require estimating the baseline probability. Unlike the majority of process regression methods, the proposed methods accommodate multiple sources of censoring. In particular, we derive a computationally convenient variant of inverse probability of censoring weighting based on the additive hazards model. We show that the regression parameter estimator is asymptotically normal, and that the baseline probability function estimator converges to a Gaussian process. Simulations demonstrate that our estimators have good finite sample performance. We apply our method to national end-stage liver disease data. The Canadian Journal of Statistics 48: 222–237; 2020 © 2019 Statistical Society of Canada     

基于农村居民需求演变规律的供给侧创新研究

分析了我国农村居民生产资料和生活资料需求侧的演变特点与规律,认为当农民的收入水平和恩格尔系数达到小康水平时,满足最低农业生产所需的生产资料和基本温饱的生活资料,不会因为农民收入水平的提高而同比率提高;而满足高效率、享受型、健康型的生产资料和生活资料需求却大幅度增长,此时“供给侧”对商品种类和服务种类的供给创新与发展,成为刺激和促进农村居民消费增长的主要因素。今后应在科技、高效、享受、智能、健康等范畴和方面,提升供给侧对农村居民所需商品和服务的创新和发展能力。     

市场全球化下的战略性自然资源国家治理

中国在原材料出口限制措施案和稀土等产品出口案中的相继败诉,表明中国在战略性自然资源治理方面离市场经济的要求仍有相当差距.符合世贸组织规则的中国战略性自然资源良好治理机制的构建,必须以承认这一差距为思想动力,深入理解市场规律,辨证认识国家自然资源永久主权同世贸组织规则之间的关系与衔接,通过提高体现战略性自然资源稀缺价值的资源税费、制定和执行旨在保护环境的严格而科学的环保制度、建立战略性自然资源类原材料产品储备制度和跟踪制度的路径而完成.     

中国货币政策的利率规则——基于金融状况指数的分析

为检验中国中央银行是否已将金融市场状况纳入货币政策的框架,采用HTVPVAR模型的脉冲响应构建中国金融市场状况指数,检验结果显示:以金融市场状况指数为转换变量的STR模型形式的利率规则能较好地拟合实际数据,政策利率对通货膨胀缺口的变动存在非线性调整,且金融市场的景气（不景气）将增强（减弱）货币政策对通货膨胀缺口的反应程度。     

A visualization method measuring the performance of biomarkers for guiding treatment decisions

Biomarkers that predict efficacy and safety for a given drug therapy become increasingly important for treatment strategy and drug evaluation in personalized medicine. Methodology for appropriately identifying and validating such biomarkers is critically needed, although it is very challenging to develop, especially in trials of terminal diseases with survival endpoints. The marker‐by‐treatment predictiveness curve serves this need by visualizing the treatment effect on survival as a function of biomarker for each treatment. In this article, we propose the weighted predictiveness curve (WPC). Based on the nature of the data, it generates predictiveness curves by utilizing either parametric or nonparametric approaches. Especially for nonparametric predictiveness curves, by incorporating local assessment techniques, it requires minimum model assumptions and provides great flexibility to visualize the marker‐by‐treatment relationship. WPC can be used to compare biomarkers and identify the one with the highest potential impact. Equally important, by simultaneously viewing several treatment‐specific predictiveness curves across the biomarker range, WPC can also guide the biomarker‐based treatment regimens. Simulations representing various scenarios are employed to evaluate the performance of WPC. Application on a well‐known liver cirrhosis trial sheds new light on the data and leads to discovery of novel patterns of treatment biomarker interactions. Copyright © 2015 John Wiley & Sons, Ltd.     

A Note on the Large Sample Properties of Estimators Based on Generalized Linear Models for Correlated Pseudo‐observations

Pseudo‐values have proven very useful in censored data analysis in complex settings such as multi‐state models. It was originally suggested by Andersen et al., Biometrika, 90, 2003, 335 who also suggested to estimate standard errors using classical generalized estimating equation results. These results were studied more formally in Graw et al., Lifetime Data Anal., 15, 2009, 241 that derived some key results based on a second‐order von Mises expansion. However, results concerning large sample properties of estimates based on regression models for pseudo‐values still seem unclear. In this paper, we study these large sample properties in the simple setting of survival probabilities and show that the estimating function can be written as a U‐statistic of second order giving rise to an additional term that does not vanish asymptotically. We further show that previously advocated standard error estimates will typically be too large, although in many practical applications the difference will be of minor importance. We show how to estimate correctly the variability of the estimator. This is further studied in some simulation studies.