重庆方言本字小考

文章主要依据音义结合的方法,考证重庆方言中部分口语词之本字。     

《水浒传》两译本的粗俗语英译评析——以 “屁”的翻译为例

社会符号学翻译法对翻译实践有着重要的指导意义,它强调翻译是一种跨语言跨文化的交际过程,翻译即翻译意义,应尽可能实现原文和译文功能和意义上的最大程度的对等。文章尝试将社会符号学翻译法应用于《水浒传》排泄词“屁”的翻译,对两个英译本中此类词的翻译进行比较评析,探讨其翻译方法。     

On population‐based measures of agreement for binary classifications

The authors describe a model‐based kappa statistic for binary classifications which is interpretable in the same manner as Scott's pi and Cohen's kappa, yet does not suffer from the same flaws. They compare this statistic with the data‐driven and population‐based forms of Scott's pi in a population‐based setting where many raters and subjects are involved, and inference regarding the underlying diagnostic procedure is of interest. The authors show that Cohen's kappa and Scott's pi seriously underestimate agreement between experts classifying subjects for a rare disease; in contrast, the new statistic is robust to changes in prevalence. The performance of the three statistics is illustrated with simulations and prostate cancer data.     

浅谈“君子不器”

以往的注家都把<论语>中的"君子不器",解释为"君子不象器皿一般",把"不"看作否定词.其实,"不"在古书中与"丕"通用,"丕"训"大",故"君子不器"解释为"君子大器"更为确切,意即君子应该具有博大的胸襟、多方面的才能.本文将从古书用例来证明这一观点.     

曹丕《燕歌行》的点校

《燕歌行》十五句,根据中国诗歌骈偶化的传统,内在的意义联系,曲词特征及其他佐证,此诗应为前九句每三句一解,后六句每两句一解。如此,才对称而合文理,合于作者创作的思维逻辑。     

基于PI校正器的可逆PWM变换器的仿真分析

在介绍PWM变换器工作原理的基础上,设计了基于PI校正器的PWM变换器控制系统,结合简化SVPWM调制方式,实现了高功率运行和能量双向流动。使用Matlab/Simulink对其进行了建模及仿真分析,结果验证了控制方法的可行性和有效性。     

先秦秦汉司法术语中的“辟”

"辟"是先秦秦汉常见的法律术语,其在司法中的含义有三种:一是法或刑;二是罪;三是执法、断罪。"辟"用作"法"、"刑"和"罪"等含义,在文献中比较常见,而用作动词"治罪"的含义,在先秦文献中却很少见到,却大量出现于秦汉司法材料中。     

“譬”、“喻”之辨——从名辩学和因明学的角度

“譬”、“喻”因含义相近常被人们不加区别地使用。从名辩思想和因明学的角度来看,尽管它们在缘起、论证方法、悟他目的等方面有诸多相同之处,但从推理的结构、形式的稳定性等方面来看,二者具有本质的不同：名辩学之“譬”是一种独立的推论形式,而因明学之“喻”只是推论中前提的一部分;形式上名辩学之“譬”相对稳定,因明学之“喻”不同时期有较大差别;方法上名辩学之“譬”大多使用类比、比喻说明问题并且例证详尽,因明学之“喻”与“譬”大致类似但在细节上有所不同。     

Statistical inference of agreement coefficient between two raters with binary outcomes

Abstract

Scott’s pi and Cohen’s kappa are widely used for assessing the degree of agreement between two raters with binary outcomes. However, many authors have pointed out its paradoxical behavior, that comes from the dependence on the prevalence of a trait under study. To overcome the limitation, Gwet [Computing inter-rater reliability and its variance in the presence of high agreement. British Journal of Mathematical and Statistical Psychology 61(1):29–48] proposed an alternative and more stable agreement coefficient referred to as the AC₁. In this article, we discuss a likelihood-based inference of the AC₁ in the case of two raters with binary outcomes. Construction of confidence intervals is mainly discussed. In addition, hypothesis testing, and sample size estimation are also presented.