被神经性毒剂染毒的蛋白IgG中有机磷加合物的研究

本文对IgG与神经性毒剂的加合物进行了研究。用过量的神经性毒剂(沙林、梭曼、VX、环沙林)对IgG(人、大鼠IgG)进行体外染毒,用胰蛋白酶进行酶解,所得样品用Q Exactive LC-MS/MS方法进行分析鉴定,发现了IgG与神经性毒剂的加合物肽段。其中,从人的IgG中发现了4个被标记的肽段,从大鼠的IgG中发现了1个被标记的肽段,另外,还从肽段的二级谱图中发现了酪氨酸加合物的特征离子碎片。本文首次发现了被神经性毒剂标记的IgG肽段,进而说明IgG是鉴定神经性毒剂中毒的一类重要的标记蛋白。     

Fitting competing risks data to bivariate Pareto models

This paper revisits two bivariate Pareto models for fitting competing risks data. The first model is the Frank copula model, and the second one is a bivariate Pareto model introduced by Sankaran and Nair (1993 Sankaran, P. G., and N. U. Nair. 1993. A bivariate Pareto model and its applications to reliability. Naval Research Logistics 40 (7):1013–1020. doi:10.1002/1520-6750(199312)40:7%3c1013::AID-NAV3220400711%3e3.0.CO;2-7.[Crossref], [Web of Science ®] , [Google Scholar]). We discuss the identifiability issues of these models and develop the maximum likelihood estimation procedures including their computational algorithms and model-diagnostic procedures. Simulations are conducted to examine the performance of the maximum likelihood estimation. Real data are analyzed for illustration.     

用工业CT技术测量储层岩芯饱和度分布

认识储层岩石中含油饱和度及饱和度分布,对驱替机理的深入研究是非常重要的。为了搞清储层岩石在驱替过程中的饱和度分布情况,应用工业CT技术,提出了一种储层含油岩芯被驱替后的饱和度分布的CT密度差测量方法。在岩样的同一断面,分别对干岩样、饱和岩样及在驱替后的岩样进行CT扫描,重建相应的断层图象,测量所建图象的灰度值,计算出相应的密度值,用密度差法计算出饱和度及其分布值。在γ射线工业CT机“CD-300BG”上对某油田岩样进行了实际测量,获得的结果说明,采用CT密度差法测量饱和度分布是有效的。该方法与常规驱替法相比较,具有快速、精度高、无损岩样和能模拟地层状态测量等特点,是油田开发、油藏描述和地层评价的一种新的有效方法。     

薪酬参照体的效应研究:基于多表征的路径模型与相对重要性

参照体选择在分配公平、薪酬满意研究中扮演重要角色,而以往研究多是关注焦点对象与参照体在薪酬上的数量差异。本文认为,参照体"数量差异"并不能完整表征参照体的效应,为此提出了"信息知晓度"、"判断关联性"、"比较频率"、"数量差异"等四类表征,在理论基础上构造路径模型与研究假设。实证研究表明,信息知晓度、判断关联性正向影响特定参照体的比较频率;数量差异正向影响分配公平、薪酬水平满意,比较频率负向影响分配公平、薪酬水平满意。通过三种研究路径的比较研究证实,自我生活成本等七类参照体相对重要。未来亟需就参照体选择的相关机制在纵贯上、在不同的组织情境下及考虑个体差异等方面予以深入考察。     

比较思想政治教育研究概述

思想政治教育是一种普遍存在的实践活动，对于全世界各国的发展都有重要作用。因此，要重视对于思想政治教育的研究。比较思想政治教育研究作为一门年轻的学科，它在思想政治教育研究中占有重要地位。首先从必要性上看，它可以推动学科的进步与发展，在日常生活中也有其实际意义，是国家政治经济文化发展的需要。在指导思想方面，要以马克思主义的唯物论与辩证法为根本指导思想，坚持实事求是原则，建设有中国特色的比较思想政治教育研究。在发展状况方面，近20年来已取得长足的发展，但仍然存在偏重发达国家、未形成完整体系等不足。只有对此有正确深入的了解，运用正确的方式方法，才能促使比较思想政治教育研究健康地发展。     

女性创业动机变迁与自我发展

选取浙江省杭州市20名创业女性为访谈对象的创业动机变迁研究显示,在2005年之前,女性创业动机以"推式动机"为多,而自2006年始,女性创业动机呈现出以"拉式动机"为主的趋势。这种变化主要与女性受教育程度提高、个性更为独立、追求更为自由的发展空间等相关。女性创业动机的变化趋势,在很大程度上反映了女性自我发展正趋向更高的水平。     

Feature screening in ultrahigh-dimensional additive Cox model

The additive Cox model is flexible and powerful for modelling the dynamic changes of regression coefficients in the survival analysis. This paper is concerned with feature screening for the additive Cox model with ultrahigh-dimensional covariates. The proposed screening procedure can effectively identify active predictors. That is, with probability tending to one, the selected variable set includes the actual active predictors. In order to carry out the proposed procedure, we propose an effective algorithm and establish the ascent property of the proposed algorithm. We further prove that the proposed procedure possesses the sure screening property. Furthermore, we examine the finite sample performance of the proposed procedure via Monte Carlo simulations, and illustrate the proposed procedure by a real data example.     

日本思想史脉络中的中国--以竹内好的中国论述为例CSSCI

日本战败之后,经历战争的一代知识分子曾经为实现中日邦交正常化而致力于思想与知识生产,但随着世代更迭,战争记忆的传承在思想史上经历了一个断裂时期,而日本的学院体制也妨碍了其中国观的建设性发展。竹内好在这个时期敏锐地察觉到,日本社会对中国日益失去探求心的现象背后隐藏着一个巨大的危险,即在日本,中国有史以来第一次成为“未知国度”。中日之间为了真正消除战争,相互理解并不能仅仅停留在友好的层面,竹内好设想的“内在于日本的中国”至今对我们仍具有认识论的启示意义。     

A class of partially linear transformation models for recurrent gap times

In this article, we propose a general class of partially linear transformation models for recurrent gap time data, which extends the linear transformation models by incorporating non linear covariate effects and includes the partially linear proportional hazards and the partially linear proportional odds models as special cases. Both global and local estimating equations are developed to estimate the parametric and non parametric covariate effects, and the asymptotic properties of the resulting estimators are established. The finite-sample behavior of the proposed estimators is evaluated through simulation studies, and an application to a clinic study on chronic granulomatous disease is provided.     

Reweighted estimators for additive hazard model with censoring indicators missing at random

Survival data with missing censoring indicators are frequently encountered in biomedical studies. In this paper, we consider statistical inference for this type of data under the additive hazard model. Reweighting methods based on simple and augmented inverse probability are proposed. The asymptotic properties of the proposed estimators are established. Furthermore, we provide a numerical technique for checking adequacy of the fitted model with missing censoring indicators. Our simulation results show that the proposed estimators outperform the simple and augmented inverse probability weighted estimators without reweighting. The proposed methods are illustrated by analyzing a dataset from a breast cancer study.