基于XML SCHEMA的异构生物信息集成研究

在后基因组时代,常有大规模的生物数据产生.这些生物数据的存贮形式各不相同,特别是与一些特定研究领域相关的数据,与其他数据的存贮形式差异较大.随着数据源的不同,数据模型的规范也不相同,同时,基于这些数据的应用服务各不相同.针对目前生物信息学中存在的异构生物数据现状,提出了一种基于XML Schema集成异构生物信息的方法.     

基于HBase的农作物病虫害数据存储系统的研究与实现

农作物病虫害数据具有多源、异构和海量等特征,传统的数据存储方法和系统存在存储效率低和扩展性弱等问题。针对这些问题,本文设计与实现了一种基于HBase的农作物病虫害数据存储系统,并将其应用于山东省小麦和玉米病虫害数据存储中。该系统能够对病虫害数据进行持久化存储,对多源异构数据进行统一管理,对新型数据可扩展性强,弥补了传统关系数据库的不足,为大数据环境下的小麦和玉米病虫害数据存储提供了新方法。     

XML技术在森林资源管理信息系统异构数据集成中的应用

森林资源管理信息系统在发展过程中积累了大量的异构数据，导致了各种系统间的数据不能进行有效共享，系统操作人员重复劳动多，差错率高，森林资源管理部门人员难以利用现有数据进行有效的决策分析。如何将这些异构数据进行有效集成，这是实现林业信息化亟待解决的一个重要问题。分析了目前森林资源管理信息的数据集成需求，对各种数据集成的常用中间件技术进行了比较，提出了森林资源异构数据集成系统的分层结构模型。这种结构模型包含信息源层、XML中间件层、XML接口层和表现层。论述了基于XML的数据集成系统的中间件层的实现。图1参9     

水生光合生物无机碳的运输

本文综述了水生光合生物无机碳的运输。作为光合作用的无机碳源ＣＯ２和ＨＣＯ３－是水生光合生物最好的运输形式。但是，不同类型的水生光合生物无机碳的运输形式及其运输机理各不相同。     

大数据时代的数字图书馆异构数据集成研究

进入大数据时代后,数字图书馆向用户所提供的服务也必然要发生改变,同时对于数据信息的处理方式也应当转变。文章分析了大数据时代数字图书馆所面临的异构数据集成问题,提出了构建基于Web Service数字图书馆异构数据集成体系结构。通过对异构数据集成的研究,以利于在大数据时代下,不同数字图书馆之间实现信息数据的交流与共享。     

基于Java和Hibernate的图书馆异构数据库集成研究

分析了图书馆异构数据集成的意义,提出了一种基于Java和Hibernate的异构数据库集成方案,该方案具有可移植性、可扩展性等优点。     

基于XML的分布式异构数据抽取系统设计与实现

为了实现网络环境中农业异构数据的有效集成,提出了基于XML的异构数据抽取方法.该方法可以实现异构信息的抽取,将抽取信息转换为统一的XML格式,然后将XML格式的信息集成到关系数据库中,该方法可以实现农业信息的有效集成.     

基于GML的多源异构空间数据集成框架研究

基于GML的多源异构空间数据集成将GML技术与空间数据集成技术相结合,能解决网络环境下地理信息资源相互不兼容的瓶颈问题,有效的实现数据的互操作.本文在分析GML数据格式特征的基础上,基于J2EE网络环境提出一个基于GML的多源异构空间数据应用集成框架.重点介绍了E00格式的空间数据规格定义以及向GML格式转换处理过程,并以福建省主要公路数据集为样本数据验证了集成结果.结果表明,采用GML作为多源异构数据集成的描述格式,可在数据层上有效地实现空间数据的集成和互操作.     

基于XML中间件的异构数据库集成

为了解决网络环境中异构数据库的数据共享和数据处理问题,首先提出了基于XML技术的异构数据库集成模型,然后介绍了XML中间件的具体实施,给出一种新的XML与关系数据库之间的映射技术,使集成过程中数据信息得到了最大保存,解决了异构数据库带来的一系列数据映射问题.     

基于XML与动态数据集成模型的异构数据访问接口设计与实现

基于异构数据集成能更高效地利用现有信息资源,实现数据共享,简化应用系统底层设计,本研究提出了一个基于3层配置的动态数据集成模型,用Java语言设计了一个基于XML的通用异构数据访问接口,详细介绍了该数据集成模型的体系结构、设计细节,并对其中的关键技术进行了讨论,通过实证分析,证实了本研究设计的可行性。     

Combining cognitive and statistical approaches to survey design

Sample surveys provide data for academic research, government policy-making, the media, and business. Statistical research aims to improve survey data by reducing extraneous sources of variability and thus increasing accuracy. Researchers have begun to use paradigms adapted from the cognitive sciences to study those sources of variability associated with the processes that the respondent undertakes in understanding questions, remembering, judging and estimating, and formulating answers. To generalize laboratory-based findings, researchers must begin to embed designed experiments that vary the questionnaire content into sample surveys of broad population. Issues associated with the design of and statistical inference from such embedded experiments are examined and illustrated with an example on the effects of context questions on responses in attitude surveys.     

Development of an automated climatic data scraping, filtering and display system

One of the many challenges facing scientists who conduct simulation and analysis of biological systems is the ability to dynamically access spatially referenced climatic, soil and cropland data. Over the past several years, we have developed an Integrated Agricultural Information and Management System (iAIMS), which consists of foundation class climatic, soil and cropland databases. These databases serve as a foundation to develop applications that address different aspects of cropping systems performance and management. In this paper we present the processes and approaches involved in the development of a climatic data system designed to automatically fetch data from different web sources, consolidate the data into a centralized database, and delivery the data through a web-based interface.Climatic data are usually available via web pages or FTP sites. The exact steps to scrape data from different sources vary depending on how the data are rendered. The climatic data building process presented herein is broken down into 5 major program modules, corresponding to different phases of the process: Data Requester, Data Fetcher, Data Parser, Data Filter, and Data Explorer. The Data Requester is responsible for processing the web pages that lead to the determination of the requested weather data. The Data Fetcher is responsible for fetching weather data that is made available by the data sources based on the request from the Data Requester. The Data Parser is responsible for decompressing and parsing the contents of the original data file and saving the data to an SQL Server 2005 database. The Data Filter is responsible for data quality control and for estimating missing data and saving the filtered data. The Data Explorer is designed to provide web-based user access to the consolidated and filtered climatic data using both dropdown lists and map-based navigation.Three types of data are stored in the process: original climatic data in file format, parsed climatic data in SQL Server database, and filtered climatic data in SQL Server database. The resulting consolidated and filtered climatic database provides a common foundation that allows us to develop diversified applications that require dynamic access to near real-time data. A number of applications have been and are being developed that seamlessly access the foundation class climatic database. Collectively these applications address water conservation, crop production and management, land use suitability analysis, and bioenergy refinery site selection.     

农业面源污染及环境生物防治技术研究

农业现代化的发展和农业生产活动越来越频繁,导致农村面源污染进一步加剧。污染源主要有化肥、农药、农具的过度使用,禽畜粪便、生活垃圾的排放及自然灾害等因素。通过数据调查、列举试验结果等方法分析了污染源对环境的影响 在治理农业面源污染方面,提出了几种新的环境生物防治措施。实践证明,环境生物防治技术比传统治理技术效率高、速度快,更有利于农村环境的可持续发展。     

New Opportunities in Synchrotron X-ray Crystallography

Several high-intensity synchrotron x-ray sources have been constructed over the past few years in the United States, West Germany, Great Britain, Japan, France, Italy, and the Soviet Union. Crystallographers have begun to use these facilities for experiments that take advantage of the characteristics of synchrotron radiation, namely, a broad distribution of wavelengths, high intensity, low divergence, strong polarization, and a pulsed time structure. In addition to more familiar diffraction experiments on single crystals and powdered samples, new types of crystallographic studies, for example, energy-dispersive and surface diffraction studies, have progressed rapidly with more general accessibility of synchrotron sources. These high-intensity sources allow diffraction experiments to be performed on very small crystals or on large biological molecules, and permit weak magnetic scattering to be detected Anomalous dispersion experiments can exploit he ability to vary the wavelength of the radiation, and the pulsed time structure of the beam makes possible fast time-resolved experiments. Because of the availability of synchrotron x-radiation, these and other kinds of experiments will be in the forefront of crystallographic research for the next several years.     

抗菌肽基因异源表达系统研究进展

抗菌肽是机体天然免疫系统的重要组成部分,因具有抗菌谱广、活性稳定、不易产生耐药性等优点而在食品、饲料、农业、医药领域具有重要的应用价值.由于化学合成的成本较高,利用基因工程技术构建高效的生物表达系统成为一个新的途径.综述了抗菌肽在细菌、酵母、植物、动物等表达系统中异源表达的研究进展,为抗菌肽的研究应用提供理论依据.     

抗菌肽基因异源表达系统研究进展

抗菌肽是机体天然免疫系统的重要组成部分,因具有抗菌谱广、活性稳定、不易产生耐药性等优点而在食品、饲料、农业、医药领域具有重要的应用价值。由于化学合成的成本较高,利用基因工程技术构建高效的生物表达系统成为一个新的途径。综述了抗菌肽在细菌、酵母、植物、动物等表达系统中异源表达的研究进展,为抗菌肽的研究应用提供理论依据。     

关于发展生物质能源产业的调研与思考

阐述了生物质能源的概念,分析了发展生物质能源的意义,综述了国际、国内生物能源产业发展现状和格局,并提出了当地生物质能源产业发展的对策。     

高盐废水处理工艺技术研究进展

简要介绍了含盐废水的来源及其处理工艺的研究进展,着重介绍了各种生物处理工艺的运行条件和处理状况,并对其处理工艺机理和强化方法做了简单的介绍,最后简要总结了生物处理工艺一些不足,并提出了其今后的发展方向。     

Blazing pathways through genetic mountains

It is now widely accepted that high-throughput data sources will shed essential understanding on the inner workings of cellular and organism function. One key challenge is to distill the results of such experiments into an interpretable computational form that will be the basis of a predictive model. A predictive model represents the gold standard in understanding a biological system and will permit us to investigate the underlying cause of diseases and help us to develop therapeutics. Here I explore how discoveries can be based on high-throughput data sources and discuss how independent discoveries can be assembled into a comprehensive picture of cellular function.     

Water pollution: organic compounds in the Charles River, Boston

The major lipophilic organic compounds present in water collected during November and December 1971 from the Charles River Basin (Boston) are as follows: normal alkanes (C(15) to C(31)), alkyl naphthalenes, alkyl anthracenes or phenanthrenes, pyrene, fluoranthene, dibutyl phthalate, and di(2-ethylhexyl) phthalate. The concentration of the naphthalenes (determined by liquid chromatography) correlates with the effective storm-water runoff content of the river. These data suggest a multiplicity of sources ranging from indigenous biological materials to automobile exhaust condensate.