DNA分子近邻互补链碱基的非线性效应

DNA分子近邻互补链碱基的非线性动力学效应研究，综述了Yomosa及Zhang模型，并在改进后的平面转子模型基础上，利用阶乘矩分析方法分析了平面转子模型的非线性效应，结果说明该模型更好的近似性．     

直齿圆锥齿轮弧齿厚的计算

本文介绍利用球面渐开线方程计算圆锥齿轮背锥齿形弧齿厚的方法,并通过实例指出利用当量圆柱齿轮计算弧齿厚的理论误差。     

英语中名词性间接回指的认知语义解析

根据兰盖克的认知语法,英语中名词性间接回指的语义本质是基体—侧重有机结合体。名词性间接回指含有两个基本构成元素,即先行项和名词性回指项,但二者不共指。回指项的语义预设了先行项的意义,先行项的语义就成为名词性间接回指的基体。分析不同类型的名词性间接回指的语义特征,并指出名词性间接回指的语义是存在于认知主体大脑中的心理实体,它必然受到认知主体的认知域的限制,所以名词性间接回指的解读存在一定的个体差异性。     

Statistical methods for the analysis of high-throughput data based on functional profiles derived from the Gene Ontology

The increasing availability of high-throughput data, that is, massive quantities of molecular biology data arising from different types of experiments such as gene expression or protein microarrays, leads to the necessity of methods for summarizing the available information. As annotation quality improves it is becoming common to rely on biological annotation databases, such as the Gene Ontology (GO), to build functional profiles which characterize a set of genes or proteins using the distribution of their annotations in the database. In this work we describe a statistical model for such profiles, provide methods to compare profiles and develop inferential procedures to assess this comparison. An R-package implementing the methods will be available at publication time.     

Inferences of variance function - a parametric robust way

Tsou (2003a) proposed a parametric procedure for making robust inference for mean regression parameters in the context of generalized linear models. This robust procedure is extended to model variance heterogeneity. The normal working model is adjusted to become asymptotically robust for inference about regression parameters of the variance function for practically all continuous response variables. The connection between the novel robust variance regression model and the estimating equations approach is also provided.     

Quasi-likelihood from<Emphasis Type="Italic">M</Emphasis>-estimators: A numerical comparison with empirical likelihood

In this paper we compare two robust pseudo-likelihoods for a parameter of interest, also in the presence of nuisance parameters. These functions are obtained by computing quasi-likelihood and empirical likelihood from the estimating equations which define robustM-estimators. Application examples in the context of linear transformation models are considered. Monte Carlo studies are performed in order to assess the finite-sample performance of the inferential procedures based on quasi-and empirical likelihood, when the objective is the construction of robust confidence regions.     

Bayesian Analysis of DNA Profiling Data in Forensic Identification Applications

The utilization of DNA evidence in cases of forensic identification has become widespread over the last few years. The strength of this evidence against an individual standing trial is typically presented in court in the form of a likelihood ratio (LR) or its reciprocal (the profile match probability). The value of this LR will vary according to the nature of the genetic relationship between the accused and other possible perpetrators of the crime in the population. This paper develops ideas and methods for analysing data and evaluating LRs when the evidence is based on short tandem repeat profiles, with special emphasis placed on a Bayesian approach. These are then applied in the context of a particular quadruplex profiling system used for routine case-work by the UK Forensic Science Service.     

命运的螺旋带来的启示——从DNA双螺旋结构发现看科学方法论

DNA双螺旋结构模型的建立,是生命科学史上的奇迹和里程碑,具有划时代的意义。它不仅揭开了基因遗传之谜,也是近代生物工程勃勃兴起的重要基石。文章从多个方面探讨这一伟大发现给我们带来的启示:正确的科研选题,密切的科技合作,恰当的科学方法,合理的创造性思维等等,这些都是发现DNA结构的关键。     

恒液位水箱侧槽水面线的数值计算和实验研究

本文从流体力学基本原理出发,建立了水流量标准装置恒液位水箱侧槽流动的基本微分方程式,并运用数值方法求得其近似解。根据有限差分法计算的侧槽水面线与实验结果基本吻合。在此基础上,本文分别对于水平和倾斜槽底这两种情况提出了进行工程设计的方法和实用计算公式。至此,作为文献[1]、[2]的延续和补充,本文完全解决了水流量标准装置恒液位水箱水面结构的设计方法问题。     

Simultaneous Modelling of Survival and Longitudinal Data with an Application to Repeated Quality of Life Measures

In biomedical studies, interest often focuses on the relationship between patients characteristics or some risk factors and both quality of life and survival time of subjects under study. In this paper, we propose a simultaneous modelling of both quality of life and survival time using the observed covariates. Moreover, random effects are introduced into the simultaneous models to account for dependence between quality of life and survival time due to unobserved factors. EM algorithms are used to derive the point estimates for the parameters in the proposed model and profile likelihood function is used to estimate their variances. The asymptotic properties are established for our proposed estimators. Finally, simulation studies are conducted to examine the finite-sample properties of the proposed estimators and a liver transplantation data set is analyzed to illustrate our approaches.