化学杂交剂GENESIS诱导四川小麦雄性不育的效果研究

报道了化杀剂GENESIS诱导四川小麦雄性不育的效果。结果表明 :喷施 1～ 3kg/hm2 浓度时 ,可使参试材料的不育率达 95%以上 ;浓度对不育率和异交结实率的影响差异显著 ;两种表面活性剂对不育率、异交结实率均无明显的影响 ,但M186 2对叶片有损伤 ;不同基因型的小麦材料对GENESIS的敏感性存在显著差异 ,异交结实率随剂量的增加呈下降趋势 ,高剂量时 ,柱头活力的时间较短 ;所有供试剂量对株高、抽穗期、成熟期等无明显的影响。     

中国医药高技术产业及其市场资源配置的态势分析

本文在论述了医药产业作为高技术产业所具有的高技术、高投入、高风险以及相对垄断性等特征之后,分析了我国医药市场的营销概况和医药企业的发展现状,对比了我国与发达国家的医药企业在经济规模、市场营销和研究开发（R&D）投入方面所存在的差距 , 提出我国在加入WTO后医药产业对所面临挑战的对策。     

高校教师党员党性分析的方法路径探讨

立足于我国改革开放30多年以来的社会现实,论述了高校教师党员党性分析方法路径中存在着效用度低、内容单一、评价主体范围较窄以及一些形式化的东西等问题,并分析了目前高校教师党员党性分析的内容指标体系机械陈旧、不少教师党员的思想道德觉悟有待加强、基层党组织民主生活气息缺乏和党外群众参与评价的机制不健全等原因。建议从坚持具体问题具体分析法、历史分析法、系统分析法、制度分析法等来探索高校教师党员党性分析的科学方法;从制定合理的内容指标体系,评价主体的多元化,党性分析程序的科学化、透明化和党性分析机制运行的常态化四个方面来对高校教师党员党性分析的路径进行科学构建。     

PAGE银染分析限制性片段

本文介绍以非变性连续聚丙烯聚酰胺凝胶电泳（ＰＡＧＥ）分离ＤＮＡ限制性片段，以银染法显色，此方法灵敏度高，ｌｎｇＤＮＡ的条带显色清晰，而且操作简单，快速，适用于分析ＤＮＡ小片段。     

南丰县中药资源及其保护

南丰县主要中药资源有１３８种，隶属三大类，其中真菌药６科６属８种。植物药７０科１０８属１１７种；动物药１０科１３属１３种，文中提出了它们的保护及开发利用措施。     

Developments in sample survey theory: An appraisal

Recent developments in sample survey theory include the following topics: foundational aspects of inference, resampling methods for variance and confidence interval estimation, imputation for nonresponse and analysis of complex survey data. An overview and appraisal of some of these developments are presented.     

浅析宋代养老制度的借鉴意义

老龄化现象是我国当前社会发展存在的一个重要问题。自2000年我国进入老龄化社会以后,随着出生率的逐渐下降和我国人口寿命的逐渐增长,老年人口将占据我国人口的较大比重,人口老龄化将成为我国当前社会发展的一个普遍趋势。因此,如何应对老龄化问题,发展我国养老事业是一个非常值得讨论的问题。早在宋代,我国已经出现有关养老的福利制度,并且有着可以借鉴的内容。文章将通过参考宋代养老制度,为我国当今社会养老事业的发展提供借鉴与参考。     

Comparative evaluation of genetic algorithms for job-shop scheduling

Many optimization problems from the industrial engineering world, in particular the manufacturing systems, are very complex in nature and quite hard to solve by conventional optimization techniques. There has been increasing interest in imitating living beings to solve such kinds of hard optimization problems. Simulating the natural evolutionary process of human beings results in stochastic optimization tech niques called evolutionary algorithms, which can often outperform conventional optimization methods when applied to difficult real-world problems. There are currently three main avenues of this research: genetic algorithms (GAs), evolutionary programming (EP) and evolution strategies (ESs). Among them, genetic algorithms are perhaps the most widely known types of evolutionary algorithms today. During the past years, several GAs for the job-shop scheduling problems have been proposed, each with different chromosome representation. In this paper, the different GAs are collected from the literature and an attempt has been made to evaluate them. The benchmark problems available in open literature are used for evaluation and the performance measure considered is makespan. The algorithms are coded in C+ +.     

Institutions and Policies for Pro‐poor Agricultural Growth

Global experience with pro‐poor growth and empirical work spanning India, Malawi and Zimbabwe demonstrates the importance of agricultural growth for poverty reduction in poor rural areas, while also pointing to the need for complementary non‐farm sector growth. Theoretical arguments, historical evidence and livelihoods modelling in poor medium‐potential rural economies suggest that, contrary to thinking dominating much of current development policy, subsidies to relieve critical seasonal credit and cash restraints and reduce market and input supply uncertainties need to help in ‘kick‐starting’ agricultural markets if increased smallholder productivity in food‐grains is to drive rural non‐farm growth. Establishing the base conditions for these to work, designing and implementing them to be effective, and then phasing them out are major challenges facing policymakers.