冯契的逻辑范畴学说及其方法论意义

作为当代著名的哲学家、逻辑学家,冯契对逻辑范畴作了开拓性的探索：阐明了逻辑范畴的辩证本性和特点;考察了逻辑范畴体系与认识的辩证运动;建构了以“类”、“故”、“理”为骨架的逻辑范畴体系;探讨了以“类”、“故”、“理”为骨架的逻辑范畴体系的方法论意义。     

数控车床操作中发生碰撞原因及避免措施

在操作数控机床时往往会出现一些碰撞事故,本文结合实际分析其产生原因,并总结归纳了防止这类事故发生的措施.     

船舶碰撞侵权责任的若干主要问题

船舶碰撞侵权责任制度对受害人的保护不足,需重新规制。推定过失与海上交通安全义务相适应,适合于对受害的第三人的救济;互有过失碰撞致第三人的财产和人身损害,均应采用连带责任;对于船舶碰撞致船员工伤,应明确船员和有关权利人享有工伤保险赔付和人身损害赔偿的双重救济权。     

文明冲突视域下中国近代史开端动因探微

中国近代史的开端源于东西方两种文明的正面碰撞。欧洲的近代化成为其对外扩张的内在动力,清帝国的封闭和对外部世界的无知是其在这场冲突中失败的重要原因,而这种被动的开放则是中国近代史发端的直接动因。以史为鉴,正视历史的经验教训,中国才能以更为主动、积极的姿态应对并融入全球化时代的国际竞争。     

学术不端行为检测系统应用中研究生学术不端行为的防治

研究生学术不端问题一直存在,近些年呈扩大趋势,但由于研究生的学术地位等因素,一直未受到高校和社会相关部门的关注。本文通过学位论文学术不端行为检测系统的一个实例,介绍了研究生学术不端的类型及得以滋生的温床,最后提出一些改变现状的思路。     

A Bayesian approach for generalized linear models with explanatory biomarker measurement variables subject to detection limit: an application to acute lung injury

Biomarkers have the potential to improve our understanding of disease diagnosis and prognosis. Biomarker levels that fall below the assay detection limits (DLs), however, compromise the application of biomarkers in research and practice. Most existing methods to handle non-detects focus on a scenario in which the response variable is subject to the DL; only a few methods consider explanatory variables when dealing with DLs. We propose a Bayesian approach for generalized linear models with explanatory variables subject to lower, upper, or interval DLs. In simulation studies, we compared the proposed Bayesian approach to four commonly used methods in a logistic regression model with explanatory variable measurements subject to the DL. We also applied the Bayesian approach and other four methods in a real study, in which a panel of cytokine biomarkers was studied for their association with acute lung injury (ALI). We found that IL8 was associated with a moderate increase in risk for ALI in the model based on the proposed Bayesian approach.     

Efficient regression modeling for correlated and overdispersed count data

Abstract

The objective of this paper is to propose an efficient estimation procedure in a marginal mean regression model for longitudinal count data and to develop a hypothesis test for detecting the presence of overdispersion. We extend the matrix expansion idea of quadratic inference functions to the negative binomial regression framework that entails accommodating both the within-subject correlation and overdispersion issue. Theoretical and numerical results show that the proposed procedure yields a more efficient estimator asymptotically than the one ignoring either the within-subject correlation or overdispersion. When the overdispersion is absent in data, the proposed method might hinder the estimation efficiency in practice, yet the Poisson regression based regression model is fitted to the data sufficiently well. Therefore, we construct the hypothesis test that recommends an appropriate model for the analysis of the correlated count data. Extensive simulation studies indicate that the proposed test can identify the effective model consistently. The proposed procedure is also applied to a transportation safety study and recommends the proposed negative binomial regression model.     

针对纸病检测的实时污点提取算法

提出一种高效、实时的专门针对纸病检测的污点提取算法。该算法对CCD相机采集的每一行图像数据进行即时处理,并立即判断该行数据上有几段污点线段,该污点线段是否与上行数据的污块相连通。算法通过逐行扫描的方式,将被检测污块逐段向下推进,直到认为到达污点的最下方边沿。实际应用结果表明,该算法适用于检测任意形状的污块。     

农药残留快速检测生物传感器研究进展

迄今为止,农药残留快速检测用途生物传感器主要有酶生物传感器和免疫生物传感器两大类,农药残留快速检测用途酶生物传感器又包括胆碱酯酶、酪氨酸酶、碱性磷酸酶、酸性磷酸酶、过氧化物酶、有机磷水解酶和谷胱甘肽巯基转移酶等七种类型主要用于蔬菜、水果,以及食晶中农药残留的快速检测.农药残留快速检测用途免疫生物传感器主要包括电化学、光学、压电和微机械悬臂梁四种类型,可以直接用于饮用水、果汁和葡萄酒等农药残留快速检测.     

提倡合理引用,反对学术不端——《口腔医学》应用学术不端检测系统的问题和对策

文章对《口腔医学》2012年8月1日～2013年5月1日间391篇论文应用中国知网学术不端检测系统的检测结果进行分析,发现有14.58％的投稿文字复制比＞30％.高复制比论文以临床研究为主,与同期投稿情况比较,综述、口腔正畸学论文出现高复制比的论文比例高于其他类型和学科的论文;复制来源于他人的期刊和学位论文较多,出现重合较多的部分主要是治疗或研究方法,以及讨论中的概念以及引证他人观点部分;其次是观察指标或者疗效评价标准.同时对学术不端的几个相关问题,如抄袭和合理引用、如何具体分析医学论文的复制部分、如何看待学位论文内容在期刊发表和一稿多投等进行了探讨.