蚕业网络信息资源导航系统的研究

论述了网络蚕业信息资源的分类、元数据标准,以及网络蚕业信息资源导航系统的信息组织方式与主要实现技术,结合实例介绍了基于动态页面技术的蚕业网络信息资源导航系统的实现方法。     

Studies on Disclosure of the Government Information under the new media Environment

媒介是传递信息的载体,传统意义上是指报刊、广播、电视等媒介,随着传播新技术的发展,出现了以互联网络、手机为代表的新媒介。与传统媒介相比,新媒介有其不同的涵义和特点,对政府信息公开工作产生着重要影响。本文从新媒介的概念和特点出发,分析了新媒介对政府信息公开的影响,阐述了新媒介环境下如何做好政府信息公开工作,最后提出在新媒介环境下对国土资源政府信息公开的几点思考和建议。     

阿坝州草原生态保护补助奖励机制政策中期评估

采取地面调查与遥感监测相结合、查阅资料与现场调查相结合、定量评价与定性评价相结合的方法,通过座谈交流、现场查验和入户调查等方式,对阿坝州补奖政策实施情况进行全面调查,评估研究补奖政策实施效果,为积极探索下一阶段适合阿坝州牧区发展的政策提供科学依据。     

电子信息系统的防雷探讨

在信息化时代,雷电对于电子信息系统的损坏非常严重,重点阐述了电子信息系统的防雷防护措施。     

基于PDA的草原鼠害数据采集系统的开发

为提高草原鼠害监测的规范性、数据采集效率和数据传输的实时性,本文分析了当前数据采集的特点,以C#为开发工具,将PDA、GPS、XML等技术综合集成进行基于PDA的草原鼠害数据采集系统的研发,开发出空间采集法、定点采集法、定面积捕尽法和铗日采集法等应用工具软件,实现了草原害鼠数据采集的半自动化,改变了传统野外数据采集方式,提高了工作效率。     

国家兽药追溯系统信息采集与处理技术的研究

从国家兽药追溯系统信息采集方式着手,针对目前追溯系统的信息采集方式中存在的问题,进行了深入的分析和研究,从而提出了信息采集与处理技术的改进措施,以期为国家兽药追溯系统的完善提供参考。     

国家兽药产品的追踪溯源系统的建设与思考

从畜产品追溯现状和国家药品电子监管着手,分析了国家兽药产品追溯信息系统建设的必要性,介绍了追溯系统的建设目标、策略和框架,重点就兽药产品监管码的选择、赋码技术以及追踪溯源系统的业务流程进行了说明,并对国家兽药产品追溯信息系统的建设原则以及面临的机遇和挑战进行了思考,以期为兽药产品追溯体系建设提供参考。     

基于VB.NET和SQL Server肉牛场信息管理系统的研发

为了克服肉牛品种选育和饲养管理中存在操作不规范、数据记录不全、数据保存不完整等问题,提高肉牛养殖场信息化管理水平,提高企业的经济效益.本文根据肉牛饲养和牛场管理的需要,以Visual Studi0 2008为系统开发平台,利用VB.NET面向对象编程语言和SQL Server 2005大型关系数据库及Crystal Reports（水晶报表）技术进行系统开发.构建了基于VB.NET和SQL Server的肉牛场信息管理系统,系统包括文件、牛群管理、生产管理、育种管理、库存管理、人事管理、统计分析、系统维护和帮助九个主要功能模块.该系统实现了肉牛生产的系统化和牛场管理的信息化,促进肉牛品种选育的进程,降低企业的管理成本,有效地提高了肉牛养殖的效率.     

基于微信平台的农牧业生产信息技术服务系统设计与应用

在实际工作中,农牧业工作者或农牧民经常会遇到一些只有农牧业专家才能解决的生产问题,但要得到专家的指导往往需要较长的时间和一定的费用,因此,为广大农牧业生产者提供一个能够学习农牧业生产的科技知识,并且能够与专家或技术人员实时交流,获得种养技术指导和病虫害诊断的农牧业服务平台具有重要现实意义。内蒙古自治区农牧业科学院开发的农牧业生产信息技术服务系统以微信平台为载体,提供咨询服务,指导科学种田和养殖。介绍了该系统的总体架构、功能设计及应用。     

基于三大生产核心数据的天津生猪产业数据监测体系建设实践

文章立足我国生猪产业数据监测体系的发展现状和普遍存在的问题,剖析了天津建立生猪产业全环节数据监测体系的紧迫性,提出了重点从生猪产业生产监测、疫病防控和动物卫生监督三个角度出发,构建天津生猪产业数据监测指标体系和静/动态数据采集系统,搭建天津生猪产业数据监测信息平台—天津市生猪产业服务云平台,推动天津生猪产业健康持续发展。     

Discussing State‐of‐the‐Art Spatial Visualization Techniques Applicable for the Epidemiological Surveillance Data on the Example of Campylobacter spp. in Raw Chicken Meat

Within the European activities for the ‘Monitoring and Collection of Information on Zoonoses’, annually EFSA publishes a European report, including information related to the prevalence of Campylobacter spp. in Germany. Spatial epidemiology becomes here a fundamental tool for the generation of these reports, including the representation of prevalence as an essential element. Until now, choropleth maps are the default visualization technique applied in epidemiological monitoring and surveillance reports made by EFSA and German authorities. However, due to its limitations, it seems to be reasonable to explore alternative chart type. Four maps including choropleth, cartogram, graduated symbols and dot‐density maps were created to visualize real‐world sample data on the prevalence of Campylobacter spp. in raw chicken meat samples in Germany in 2011. In addition, adjacent and coincident maps were created to visualize also the associated uncertainty. As an outcome, we found that there is not a single data visualization technique that encompasses all the necessary features to visualize prevalence data alone or prevalence data together with their associated uncertainty. All the visualization techniques contemplated in this study demonstrated to have both advantages and disadvantages. To determine which visualization technique should be used for future reports, we recommend to create a dialogue between end‐users and epidemiologists on the basis of sample data and charts. The final decision should also consider the knowledge and experience of end‐users as well as the specific objective to be achieved with the charts.     

The relative effect of genomic information on efficiency of Bayesian analysis of the mixed linear model with unknown variance

This work focuses on the effects of variable amount of genomic information in the Bayesian estimation of unknown variance components associated with single‐step genomic prediction. We propose a quantitative criterion for the amount of genomic information included in the model and use it to study the relative effect of genomic data on efficiency of sampling from the posterior distribution of parameters of the single‐step model when conducting a Bayesian analysis with estimating unknown variances. The rate of change of estimated variances was dependent on the amount of genomic information involved in the analysis, but did not depend on the Gibbs updating schemes applied for sampling realizations of the posterior distribution. Simulation revealed a gradual deterioration of convergence rates for the locations parameters when new genomic data were gradually added into the analysis. In contrast, the convergence of variance components showed continuous improvement under the same conditions. The sampling efficiency increased proportionally to the amount of genomic information. In addition, an optimal amount of genomic information in variance–covariance matrix that guaranty the most (computationally) efficient analysis was found to correspond a proportion of animals genotyped ***0.8. The proposed criterion yield a characterization of expected performance of the Gibbs sampler if the analysis is subject to adjustment of the amount of genomic data and can be used to guide researchers on how large a proportion of animals should be genotyped in order to attain an efficient analysis.