Deme formation in gall-making aphidsAdelges japonicus (Homoptera: Adelgidae)

The deme formation hypothesis in herbivorous insects states that herbivores differentiate genetically into small demes, each specialized in the idiosyncratic traits of individual plants. We examined this hypothesis in gall-forming aphids,Adelges japonicus, by reciprocal transfers of aphids among three susceptible clones ofPicea jezoensis standing in proximity. Performance of aphids transferred to their natal clone was compared with that of aphids transferred to other novel clones. ANCOVA showed no significant donor (source of aphids) by receptor (recipient of aphids) interactions for both total aphid performance on the host tree over a life cycle and its three subdivisions(q ₁,q ₂ andq ₃). In addition, the total performance on the natal clone was lowest among those in the three clones, which was explicitly against the prediction from the local adaptation. In contrast, there were significant receptor effects onq ₁ (fecundity of gallicolae multiplied by survivorship of fundatrices while feeding on needles) andq ₃ (fecundity of fundatrices multiplied by survivorship of gallicolae before emergence from the galls), suggesting genetic differences in resistance among clones. The two-fold difference inq ₃ among clones was due to different gall size, which was highly correlated with the number of gallicolae that emerged from the gall. The two-fold difference inq ₁ seemed to be caused by different survivorship of larval fundatrices while feeding on needles.     

基因工程技术及其在林木培育中的应用

概述了基因工程在国内外林木培育中的应用现状及发展趋势 ,综述了我国十多年来林木在抗虫、抗病、抗逆境、品质改良、育性等基因工程的研究与应用研究取得的一些进展及今后的发展方向。     

Bayesian incorporation of repeated measurements in logistic discrimination

A common problem in medical statistics is the discrimination between two groups on the basis of diagnostic information. Information on patient characteristics is used to classify individuals into one of two groups: diseased or disease-free. This classification is often with respect to a particular disease. This discrimination has two probabilistic components: (1) the discrimination is not without error, and (2) in many cases the a priori chance of disease can be estimated. Logistic models (Cox 1970; Anderson 1972) provide methods for incorporating both of these components. The a posteriori probability of disease may be estimated for a patient on the basis of both current measurement of patient characteristics and prior information. The parameters of the logistic model may be estimated on the basis of a calibration trial. In practice, not one but several sets of measurements of one characteristic of the patient may be made on a questionable case. These measurements typically are correlated; they are far from independent. How should these correlated measurements be used? This paper presents a method for incorporating several sets of measurements in the classification of a case.     

Families and donor insemination: the views of semen donors

One of the consequences of donor insemination for the semen donor is that he becomes a member of two families: his own family in which he has a genetic and social connection with his offspring; and the family of the recipient couple, in which he has a genetic connection to the offspring, but usually no social connection with either the offspring or the recipient couple. This article challenges the dominant view that donor insemination as a practice of mainly medical or legal importance by looking at the attitudes of donors to both their own family and the family to which they have contributed their genetic material. Results are presented concerning who donors have told about their donation, who they think should be told, whether they think recipient couples should tell their donor insemination offspring about their conception, and concerning their opinions about factors that are considered in matching donors with recipient fathers.     

基于遗传算法的进化支持向量机研究

支持向量机是最近发展起来的一种新的通用的机器学习方法 ,其理论基础是统计学习理论 ,支持向量机无论在模式识别还是在函数拟合方面均显示了其优越性 ,并越来越受到国内外研究者的广泛关注 .但是 ,对支持向量机的推广预测能力具有很大影响的核函数和参数C一直没有一个很好的确定方法 ,针对这一问题 ,将遗传算法和支持向量机结合 ,提出了一种自动选择支持向量机参数的方法 ,结果表明 ,这种方法是科学有效的 .     

一种基于RCPT码的渐进图像传输方法

将等级树中的集分割编码器输出的码流分组,根据输出的分组数据对重建图像重要性的不同,传输前采用纠错能力不同的RCPT码保护。在总的码率限制下,采用遗传算法从有限码率集中选择每组数据的RCPT码码率,使接收端恢复的图像失真最小。将等误差保护码率作为遗传算法的初始种群,减少了最优码率集的搜索时间。在二进制对称信道上的仿真结果表明,该渐进图像传输方法实现简单,在高误码率信道条件下恢复图像仍能得到很高的峰值信噪比。     

基于改进遗传算法的单级多项目无能力约束生产批量问题研究

通过对单级多项目无能力约束生产批量问题(SMULP)模型进行分析，得出了一些重要的结论．分析了基本遗传算法的缺陷及其产生的原因．对该问题在遗传算法的编码、适应度函数、选择复制操作、交叉方法、交叉概率、变异概率和终止条件等各个环节进行了改进．采用VB6．0对SMULP改进遗传算法编程实现，能很好地与ERP软件集成．并对SMULP改进遗传算法进行了性能分析．     

现代生物技术的宣传与普及：科学家的职责——在国内首次生物技术与现代农业科普与传播研讨会上的讲话

与转基因相关的现代生物技术等科学问题以及如何对公众进行科普宣传等问题,已引起人们的高度关注。作为科学家应该向公众、向政策的制定者来传播科学家自身关注和从事的科学问题;应该加强对科学家、公众及大众媒体、政府的政策制定者三者关系的认识、交流与沟通,及时解决出现的问题。转基因技术与传统育种技术是一脉相承的,其本质都是通过获得优良基因对作物进行遗传改良。科学家在进行相关研究时必须遵守相应的科学伦理规范和相应的科学准则,必须严格自律。科学家要通过推动一系列的研讨和合作,探求相关重要问题的解决方案,增强政府官员和公众对植物科学在解决这些问题上重要性的认识,使全社会的公众来关注今天的植物科学和农业给未来的人类以及我们的地球所产生的影响。     

关于对可转换债券融资发行范围的确定研究

可转换债券的双重属性以及企业生产经营状况使可转换债券融资具有很大的不确定性,最终导致不同的结果,结果的不同将影响企业进行融资决策中资本结构的制定,因而需要对可转换债券发行范围进行确定。完全转股和回售是企业经营状况良好和极差两种极端情况下可转债融资所产生的结果,此两种结果决定了可转换债券发行范围的上下限,将完全转股结果下所求得的最优融资资本结构作为可转债发行范围的上限,回售情况下得到的最优融资资本结构作为发行下限,从而得到可转换债券发行范围。最后利用基于随机模拟的遗传算法对融资决策模型进行求解,并通过算例解释了算法的有效性。     

快速遗传算法研究

提出了一种称为广义自适应遗传算法的快速遗传算法,它首先产生均匀分布的初始种群,其次根据种群模式的状况决定是否引入“高品质”移民,最后自适应地进行交换和变异运算。其搜索性和全局收敛性比现有的许多遣传算法都有明显的改善,并通过仿真说明了该改进遣传算法的有效性。