基于旋转角度的跑步运动仿真

提出基于旋转角度的方法仿真跑步运动.跑步时人体四肢和躯干都在绕关节做重复旋转运动,基于旋转角度的跑步模型根据各关节的旋转角度计算人体运动时不同部位的位置,进而求解跑步运动行为.根据该模型提出一种跑步运动仿真方法/程序,该方法可以用于跑步运动仿真和提供建模所需的人体部位的位置数据,因而可缩短建模周期.用一个慢跑仿真案例示例了该方法的仿真过程.     

求解多目标运输问题的一种目标协调优化方法

针对多目标运输问题往往存在各目标间协调性差或冲突发生的现象,提出一种求解多目标运输问题的目标协调优化方法.以各目标做出一定的让步为切入点,通过寻求最小让步对各个目标进行协调,将多目标运输问题简化为单目标的线性规划模型.引入让步解、满意解等概念,给出了方法的求解步骤.最后,以实例验证了方法的有效性.     

A mixed-model approach for genome-wide association studies of correlated traits in structured populations

Genome-wide association studies (GWAS) are a standard approach for studying the genetics of natural variation. A major concern in GWAS is the need to account for the complicated dependence structure of the data, both between loci as well as between individuals. Mixed models have emerged as a general and flexible approach for correcting for population structure in GWAS. Here, we extend this linear mixed-model approach to carry out GWAS of correlated phenotypes, deriving a fully parameterized multi-trait mixed model (MTMM) that considers both the within-trait and between-trait variance components simultaneously for multiple traits. We apply this to data from a human cohort for correlated blood lipid traits from the Northern Finland Birth Cohort 1966 and show greatly increased power to detect pleiotropic loci that affect more than one blood lipid trait. We also apply this approach to an Arabidopsis thaliana data set for flowering measurements in two different locations, identifying loci whose effect depends on the environment.     

An efficient multi-locus mixed-model approach for genome-wide association studies in structured populations

Population structure causes genome-wide linkage disequilibrium between unlinked loci, leading to statistical confounding in genome-wide association studies. Mixed models have been shown to handle the confounding effects of a diffuse background of large numbers of loci of small effect well, but they do not always account for loci of larger effect. Here we propose a multi-locus mixed model as a general method for mapping complex traits in structured populations. Simulations suggest that our method outperforms existing methods in terms of power as well as false discovery rate. We apply our method to human and Arabidopsis thaliana data, identifying new associations and evidence for allelic heterogeneity. We also show how a priori knowledge from an A. thaliana linkage mapping study can be integrated into our method using a Bayesian approach. Our implementation is computationally efficient, making the analysis of large data sets (n > 10,000) practicable.     

接触辉光放电等离子体降解水体中硝基苯

用接触辉光放电等离子体对硝基苯的降解进行了研究，考查了电压、浓度、pH值、催化剂对降解率的影响。结果表明：电压、浓度、催化剂对反应速率有显著影响，pH对硝基苯降解无明显影响。同时，利用高效液相色谱法对中间产物进行了分析，推测了硝基苯接触辉光放电降解的历程。     

基于ORB的无线JMS消息系统的研究与设计

在无线互联网时代的21世纪,移动计算与应用已成为新的技术发展方向和应用热点.企业应用移动化为用户提供了高粘度的、实时的、全方位的信息服务.为基于J2ME的移动应用提供一套完整可靠的JMS消息服务,叙述了基于ORB的无线JMS消息系统的结构、功能,并给出了设计方案.     

关于Banach空间中一类非线性积分微分方程(Ⅱ)

以非紧致测度为工具,继续讨论了一类非线性积分微分方程解的存在性和解集对参数的上半连续依赖性,并在序Banach空间中证明了极值解的存在性及相应的比较定理.     

具有奇性的三阶微分方程边值问题解的存在性

本文研究了奇异三阶微分方程边值问题这里允许f（t，u）在u＝0处具有奇性。用锥不动点定理证明了该问题正解的存在性。     

改进的NExT-ERA时域模态识别法的误差分析

为进行结构损伤识别,用时域模态识别的NExT-ERA法,从脉动激励和测量噪声下有限时长和时间间隔的结构反应中提取高精度模态参数。改进的相关函数估计公式可消除传统相关估计引起的模态参数误差;利用稳定图对不同系统的阶进行识别,以减小系统定阶误差并选择高精度模态;根据Hankel阵奇异向量、奇值和模态参数的对应关系,分析时域模态识别误差的规律和影响因素。用某三自由度框架和主跨1 650 m的西堠门悬索桥模型验证有效。