空气比热容比实验的原理和系统误差分析

从热力学理论入手,对空气比热容比测定实验仪器和常见的两种实验原理表述进行了分析,给出了实验过程中正确的P-V图和实验状态及其实验原理的正确理解,提出了一种客观的实验理论表述方法.通过对实验仪器的改进,取得了良好的实验结果,实验误差由原来大于7%下降到2%以内.     

Office在地形图数据检查中的应用

本文首先介绍传统野外数据检查方法及弊端,然后剖析其中原因,提出了一系列的改进方法,通过实践应用,将测绘软件与Office应用软件有效结合,总结出具体的检查流程,提高了工作效率,使检查结论真实可靠。     

基于仿人智能的变电站电压无功控制研究

随着电力用户对电网电能质量的要求越来越高,广泛使用的电压无功传统九区图法不能满足控制要求。本文基于仿人智能控制策略,从新的角度对电压无功控制系统性能作改进研究,设计出电压无功仿人智能控制器。文中借助MATLAB对110kV变电站电压无功控制系统分别对仿人智能和传统九区图法的控制进行了仿真研究,证明了电压无功仿人智能控制算法的可行性和有效性。     

Kruskal算法在连线问题中的应用

利用Kruskal算法原理,在一个赋权图中,找出具有最小权的连通生成子图即最优树.     

构建图书馆内部和谐

构建社会主义和谐社会,是我党提出的一个崭新命题。面对这个新面题,笔者认为,图书馆作为传承人类文明、传播文化的知识圣殿,应充分发扬传统和谐精神,以构建图书馆内部和谐为出发点,为和谐社会的构建尽一份自身的义务和责任。     

空气比热容比实验的原理和系统误差分析

从热力学理论入手，对空气比热容比测定实验仪器和常见的两种实验原理表述进行了分析，给出了实验过程中正确的P—V图和实验状态及其实验原理的正确理解，提出了一种客观的实验理论表述方法．通过对实验仪器的改进，取得了良好的实验结果，实验误差由原来大于7％下降到2％以内．     

p3阶Cayley图的边Hamilton性

设G为有限群,|G|=p3,p为素数,M是G的一个生成集.证明了p3阶的Cayley图X(G,M)是边-Hamilton图.     

一个应力边界条件下平面弹性问题的Locking-Free有限元方法

用非协调有限元方法解决应力边界条件下平面弹性问题的Locking现象,构造了一个新的四边形单元克服Locking现象,给出了新的非协调有限元格式,证明了此格式的收敛性,并给出了最优的误差估计.     

图的匹配多项式

文章主要研究特殊图的匹配多项式唯一的性质，得到了星图为匹配唯一的、蛇树和轮环图的匹配多项式及Y形图不是匹配唯一的等结论。     

Reconstruction of linkage maps in the distorted segregation populations of backcross, doubled haploid and recombinant inbred lines

Non-Mendelian segregation of markers, known as distorted segregation, is a common biological phenomenon. Although segregation distortion affects the estimation of map distances and the results of quantitative trait loci (QTL) mapping, the effects of distorted markers are often ignored in the construction of linkage maps and in QTL mapping. Recently, we have developed a multipoint method via a Hidden Markov chain method to reconstruct linkage maps in an F2 population that corrects for bias of map distances between distorted markers. In this article, the method is extended to cover backcross, doubled haploid and recombinant inbred line (RIL) populations. The results from simulated experiments show that: (1) the degree that two linked segregation distortion loci (SDL) affect the estimation of map distances increases as SDL heritability and interval length between adjacent markers increase, whereas sample size has little effect on the bias; (2) two linked SDL result in the underesti- mation of linkage distances for most cases, overestimation for an additive model with opposite additive effects, and unbiased estimation for an epistatic model with negative additive-by-additive effects; (3) the proposed method can obtain the unbiased estimation of linkage distance. This new method was applied to a rice RIL population with severely distorted segregation to reconstruct the linkage maps, and a bootstrap method was used to obtain 95% confidence intervals of map distances. The results from real data analysis further demonstrate the utility of our method, which provides a foundation for the inheritance analysis of quantitative and viability traits.