区域主导产业评价指标与数学模型

以现有研究成果为基础,建立了区域主导产业评价指标体系;基于灰色聚类的思想,提出了评价区域主导产业优度的数学模型-定权聚类评估模型,并对河南省武陟县工业主导产业选择进行了实证研究。     

Modeling the Adenoma and Serrated Pathway to Colorectal CAncer (ASCCA)

Several colorectal cancer (CRC) screening models have been developed describing the progression of adenomas to CRC. Currently, there is increasing evidence that serrated lesions can also develop into CRC. It is not clear whether screening tests have the same test characteristics for serrated lesions as for adenomas, but lower sensitivities have been suggested. Models that ignore this type of colorectal lesions may provide overly optimistic predictions of the screen‐induced reduction in CRC incidence. To address this issue, we have developed the Adenoma and Serrated pathway to Colorectal CAncer (ASCCA) model that includes the adenoma‐carcinoma pathway and the serrated pathway to CRC as well as characteristics of colorectal lesions. The model structure and the calibration procedure are described in detail. Calibration resulted in 19 parameter sets for the adenoma‐carcinoma pathway and 13 for the serrated pathway that match the age‐ and sex‐specific adenoma and serrated lesion prevalence in the COlonoscopy versus COlonography Screening (COCOS) trial, Dutch CRC incidence and mortality rates, and a number of other intermediate outcomes concerning characteristics of colorectal lesions. As an example, we simulated outcomes for a biennial fecal immunochemical test screening program and a hypothetical one‐time colonoscopy screening program. Inclusion of the serrated pathway influenced the predicted effectiveness of screening when serrated lesions are associated with lower screening test sensitivity or when they are not removed. To our knowledge, this is the first model that explicitly includes the serrated pathway and characteristics of colorectal lesions. It is suitable for the evaluation of the (cost)effectiveness of potential screening strategies for CRC.     

禁忌语的“言有所指”刍议

语言学家奥斯汀在他的言语行为理论中把施为句分成三种：以言指事、以言行事和以言成事。我们借用奥斯汀的以言指事之称，认为语言中的禁忌语也是“言有所指”，指代的是客观世界中人们所避讳的事物和理念，因此被禁忌。禁忌语的“言有所指”大致可以分为人称代词指称语类、专有名词指称语类、普通名词指称语类三个类别。人们之所以禁忌这些言语，是混淆了“能指”和“所指”之间的关系。     

法院公共政策形成功能的学理探析

对法院的公共政策功能进行概述,从学理层面就法院公共政策形成功能的原因展开论述,重点探讨了理性主义与经验主义、司法克制与司法能动与法院公共政策功能的关系,并分析了法院公共政策功能在现代社会图景下的必要性,进而得出法院公共政策形成功能对于法治社会的意义。     

少数民族地区旅游开发条件比较研究--以甘肃省肃南县和贵州省黎平县为例

文章通过特尔菲法建立少数民族地区旅游开发条件评价的指标体系 ,利用该指标体系对甘肃省肃南县和贵州省黎平县进行单项评分和综合评价 ,并依据分析结果对两地旅游业的发展提出建议。     

陆荣廷政权在边疆民族经济融合进程中运用的政府和民间两种力量

陆荣廷为首的桂系集团是一个复杂的政治群体,对其历史作用应进行多元化评价。他们利用政府和民间两种力量清除了部分落后的社会政治制度和邪恶势力,扩大了近代经济制度和社会经济组织的影响,在一定程度上奠定了广西新的政治和经济格局。同时推动了边疆民族经济融合的程度进一步加深。     

回族服饰文化与伊斯兰教

自元、明以来 ,回族的服饰在不断变化 ,但其中的宗教基因却保留不变。它既表现出华夏民族的文化传承 ,又涵盖着伊斯兰宗教文化的教义、教规与伦理道德 ,在中国少数民族服饰中独树一帜 ,为具有美观、端庄、俭朴等特色且表现出民族心理及审美观念的服饰文化。回族服饰文化是宗教礼仪服饰文化与世俗服饰文化的有机结合 ,体现着回族人民的智慧与民族精神     

Modal non‐linear regression in the presence of Laplace measurement error

In this paper, we propose a robust estimation procedure for a class of non‐linear regression models when the covariates are contaminated with Laplace measurement error, aiming at constructing an estimation procedure for the regression parameters which are less affected by the possible outliers, and heavy‐tailed underlying distribution, as well as reducing the bias introduced by the measurement error. Starting with the modal regression procedure developed for the measurement error‐free case, a non‐trivial modification is made so that the modified version can effectively correct the potential bias caused by measurement error. Large sample properties of the proposed estimate, such as the convergence rate and the asymptotic normality, are thoroughly investigated. A simulation study and real data application are conducted to illustrate the satisfying finite sample performance of the proposed estimation procedure.     

Collective versus Individual Effects in Survival Analysis of Multiple Failures

In survival analysis, we sometimes encounter data with multiple censored outcomes. Under certain scenarios, partial or even all covariates have ‘similar’ relative risks on the multiple outcomes in the Cox regression analysis. The similarity in covariate effects can be quantified using the proportionality of regression coefficients. Identifying the proportionality structure, or equivalently whether covariates have individual or collective effects, may have important scientific implications. In addition, it can lead to a smaller set of unknown parameters, which in turn results in more accurate estimation. In this article, we develop a novel approach for identifying the proportionality structure. Simulation shows the satisfactory performance of the proposed approach and its advantage over estimation under no assumed structure. We analyse three datasets to demonstrate the practical application of the proposed approach.     

A Proportional Hazards Regression Model for the Subdistribution with Covariates‐adjusted Censoring Weight for Competing Risks Data

With competing risks data, one often needs to assess the treatment and covariate effects on the cumulative incidence function. Fine and Gray proposed a proportional hazards regression model for the subdistribution of a competing risk with the assumption that the censoring distribution and the covariates are independent. Covariate‐dependent censoring sometimes occurs in medical studies. In this paper, we study the proportional hazards regression model for the subdistribution of a competing risk with proper adjustments for covariate‐dependent censoring. We consider a covariate‐adjusted weight function by fitting the Cox model for the censoring distribution and using the predictive probability for each individual. Our simulation study shows that the covariate‐adjusted weight estimator is basically unbiased when the censoring time depends on the covariates, and the covariate‐adjusted weight approach works well for the variance estimator as well. We illustrate our methods with bone marrow transplant data from the Center for International Blood and Marrow Transplant Research. Here, cancer relapse and death in complete remission are two competing risks.