跨性别交际中的性别话语特性及其归因研究

性别间因话语差异导致的误会屡屡发生,人们已经司空见惯,就是当事人也把因话语误会造成的心理的伤害当作瞬时的话不投机或性格不和而不以为意.笔者试图借用社会语言学和跨文化研究的成果,分析性别话语背后的性别心理、特定的价值观、社会性别角色、社会化适应、家庭性别话语的再次定型或改变等对性别话语的影响,希望能在减少跨性别交际中的误会方面作些积极的探索.     

培养医学生阅读风格促进中华医药传统文化教育

阅读从来就是培养文化和传承文化的重要途径,阅读风格的培养是涵养医学人文品格的重要内容。重构大学生阅读兴趣,提升医学生阅读层次,通过漫阅读、深阅读、精阅读、动阅读等多元形式,引导大学生在书籍的海洋里涵养身心,以提高医学生全面素质,培养医学人文精神,传承中华医药传统文化。     

生活、关系、空间:城市社区融合共建的三维逻辑——基于上海市D社区的案例研究

十九大报告指出,打造共建共治共享的社会治理格局,推进社会治理社会化、法治化、智能化、专业化。上海市D社区基于生活、关系、空间三维向度的城市社区融合共建某种意义上表明了当前社区建设的一种价值取向和行动回归,通过社区动员培育居民自治意识与自治能力,营造社区文化,深化关系联结,从而有效提升社区社会资本,推动社区多元主体整合,形成以基层情感治理为主线、以专业工作介入为手段、以社区文化建设为目标的城市社区整合共建的现实路径。     

大学生人际交往的差异性研究

本研究对辽宁几所高校的590名大学生调查发现。有41．86％的大学生存在人际交往困扰；男女大学生在人际交往各维度均存在显著差异；文科大学生人际交往能力好于理科大学生；非独生子女大学生人际交往能力好于独生子女；不同生源地、不同年级的大学生人际交往能力差异不显著。     

Complete moment convergence of widely orthant dependent random variables

It is known that the dependence structure of widely orthant dependent (WOD) random variables is weaker than those of negatively associated (NA) random variables, negatively superadditive dependent (NSD) random variables, negatively orthant dependent (NOD) random variables, and extended negatively dependent (END) random variables. In this article, the results of complete moment convergence and complete convergence are presented for WOD sequence under the same moment conditions as independent sequence in classical result (Chow 1988 Chow, Y. (1988). On the rate of moment convergence of sample sums and extremes. Bull. Inst. Math. Acad. Sin. 16(3):177–201. [Google Scholar]).     

中国出口垂直专业化的重新评估

文章借鉴了全球价值链分解模型,运用WIOD数据库中的世界投入产出表,对中国1995-2011年共17年的出口垂直专业化进行了重新评估.新的计算结果显示:(1)中国出口垂直专业化指数在2005年出现了下降趋势;美日欧等主要经济体为中国出口提供的中间品的比重出现下降,而新兴经济体的这一比重则上升较快;(2)中国垂直专业化结构发生了显著变化,最终品出口中的国外增加值比重不断下降,重复计算中的国外增加值比重则迅速扩大;(3)中国参与的垂直专业化分工仍然主要集中于技术和资本密集型的产业,但是各产业的垂直专业化指数在2005年前后也都出现了下降趋势,说明了中国产业结构和贸易结构呈现出优化的态势.     

基于DPN模型的我国出口拉动增加值时滞模型

由于我国加工出口占比较高,学者们提出了区分贸易方式的非竞争型投入产出模型.该模型可以更加准确地测算我国出口对增加值的拉动,但是该模型忽略了出口对增加值拉动的时滞性,这容易产生所有效应都在当年发生的误解.文章基于区分贸易方式的非竞争型投入产出模型构建了各部门出口对增加值拉动的时滞模型.实证结果表明:非加工出口部门的时滞长于加工出口部门的时滞.     

经济景气指标与实际GDP增长率的混频预测

文章通过构建月度景气指标与季度实际GDP增长率之间的混频动态向量自回归模型,并采用期望最大值算法和卡尔曼滤波来实现混频数据和缺失数据的估计和迭代预测.大量月度景气指标的MFVAR模型的伪实时数据的多步滚动迭代样本外预测结果表明:虽然不同类别的月度景气变量在不同预测期的预测结果存在一定的差异,但实时预报、短期预测,以及组合预测结果均表明混频动态向量自回归预测模型对我国季度实际GDP增长率的实时预报和短期预测具有精确性、有效性与适用性.     

Enabling robust assessment of QTc prolongation in early phase clinical trials

Since the implementation of the International Conference on Harmonization (ICH) E14 guideline in 2005, regulators have required a “thorough QTc” (TQT) study for evaluating the effects of investigational drugs on delayed cardiac repolarization as manifested by a prolonged QTc interval. However, TQT studies have increasingly been viewed unfavorably because of their low cost effectiveness. Several researchers have noted that a robust drug concentration‐QTc (conc‐QTc) modeling assessment in early phase development should, in most cases, obviate the need for a subsequent TQT study. In December 2015, ICH released an “E14 Q&As (R3)” document supporting the use of conc‐QTc modeling for regulatory decisions. In this article, we propose a simple improvement of two popular conc‐QTc assessment methods for typical first‐in‐human crossover‐like single ascending dose clinical pharmacology trials. The improvement is achieved, in part, by leveraging routinely encountered (and expected) intrasubject correlation patterns encountered in such trials. A real example involving a single ascending dose and corresponding TQT trial, along with results from a simulation study, illustrate the strong performance of the proposed method. The improved conc‐QTc assessment will further enable highly reliable go/no‐go decisions in early phase clinical development and deliver results that support subsequent TQT study waivers by regulators.     

Generalized empirical likelihood inference in partially linear model for longitudinal data with missing response variables and error-prone covariates

In this article, we consider statistical inference for longitudinal partial linear models when the response variable is sometimes missing with missingness probability depending on the covariate that is measured with error. A generalized empirical likelihood (GEL) method is proposed by combining correction attenuation and quadratic inference functions. The method that takes into consideration the correlation within groups is used to estimate the regression coefficients. Furthermore, residual-adjusted empirical likelihood (EL) is employed for estimating the baseline function so that undersmoothing is avoided. The empirical log-likelihood ratios are proven to be asymptotically Chi-squared, and the corresponding confidence regions for the parameters of interest are then constructed. Compared with methods based on NAs, the GEL does not require consistent estimators for the asymptotic variance and bias. The numerical study is conducted to compare the performance of the EL and the normal approximation-based method, and a real example is analysed.