浅谈我公司开发塑料添加剂的发展前景

通过对塑料添加剂发展形势的分析，对无机阻燃材料的性能特点、技术水平、开发前景进行调研论述，指出无机阻燃剂是一种极有发展前景的新产品．并论述了我公司开发无卤功能材料的优势与前景。     

实时数据库系统在氯碱行业中的应用

介绍了实时数据库系统的特点,通过对实时数据库系统的功能详细剖析,展示在当前工业互联网背景下实时数据库对氯碱行业的巨大影响.     

互联网上的塑料信息资源

综述了互联网上与塑料研究和应用相关的信息资源，分别从搜索引擎、各种专为网站、论文和性能数据库以及未来的发展趋势入手，详细介绍了塑料文献信息和市场信息在互联网上的分布及检索的途径和方法，对塑料信息资源网站的发展趋势作了预测，提供了一些互联网上优秀的相关网站。     

塑料加工数据库开发成功

我国第一个塑料加工数据库系统,经北京化工大学塑料机械及塑料工程研究所多年研究,近日已开发成功。该系统设有塑料原料、助剂、制品、检测设备、企事业、专家、协会、学     

热塑性增强（玻纤）塑料制品及注塑模具设计要点

使用玻纤改性热塑性塑料便产生了玻纤增强热塑性塑料，此类塑料的性能优于原树脂。通过探讨此类塑料的主要加工特点，提出了制品设计及注塑模具设计的几大要点，充分认识这些特点，对增强热塑性塑料加工很有帮助。     

塑料性能数据库的现状与发展

介绍了CAMPUS（Computer Aided Material Preselection by Uniform Standards)数据库和相关国际标准的内容,总结了我国塑料性能数据库的开发工作。通过对统一标准塑料性能数据库的历史、现状和发展趋势进行分析,指出了建设统一标准塑料性能数据库的必要性与迫切性。     

废弃地膜的回收和应用

利用废弃塑料,通过科学的技术清洗、造粒并结合废弃塑料的性能特点生产土工膜。其结果表明:利用废弃塑料加工的土工膜物理机械性能达到了标准要求。     

塑料注射模具的二次开发

根据我国模具工业的现状和CAD应用的基础,按照软件工程设计的要求,以国家标准为基础,在Windows操作系统环境下,利用Office2000中的Microsoft Access工具建立与塑料注射模具相关的、不同内容的数据库系统,并通过Microsoft Visual C 6．0编译使Object ARX应用程序与ODBC数据库互连,实现了注塑模零部件自动选择与绘制的功能,开发出基于AutoCAD 2000的实用塑料注射模具CAD系统。该系统的开发可以减轻模具设计人员的工作强度,提高模具设计的效率,有利于模具标准化。     

导电塑料的应用前景

自１９９７年美国宾夕法尼亚洲立大学的研究人员发现在聚乙烯化合物中加入微量的碘，便可在保持可塑性的同时还可如同金属那样进行导电以后，对导电塑料的研制、开发和应用很快从实验转为工业化使用。特别是近几年来，不仅通过对聚噻吩导电聚合物的处理发明了可溶解于众多溶剂的导电塑料，而且通过把非常纯的聚乙炔分子朝一方向定向，使导电塑料达到与铜丝一样的导电性能，并合成了透明的导电塑料，率先制成了结实的、导电性能高的纤维。科学家们预言，在今后不长的时间内，导电塑料将在计算机、精密电子设备、飞机、汽车、电池及门窗等方面…     

纳米材料改性塑料的研究进展

综述了国内外纳米材料改性塑料的最新进展，介绍了无机纳米材料改性塑料常见的制备方法、制备的关键技术及纳米材料改性塑料的性能特点与表征方法。无机纳米材料改性塑料具有优异的物理力学性能、热稳定性、电性能及加工性能，在许多领域具有广阔的应用前景。     

多层次天然药物数据库的构建

本文介绍了一种多层次天然药物数据库的结构和构建 ,并对其特色进行了描述 ,其中 ,数据库信息横跨宏观、微观两大层次和在数据库建设中引入量子化学计算是该多层次天然药物数据库的最大特点 ,此外 ,对多层次天然药物数据库的发展和应用前景进行了探讨。     

高速切削工艺数据库的研究开发

概括了研究开发的高速切削工艺数据库的功能与基本结构，分别介绍了后台数据库、用户操作界面和工艺技术数据三大组成部分的内容、研究开发技术路线或数据指标，展望了今后努力方向。     

结构陶瓷数据库管理系统的研究

应用可现视化的Delphi语言和Paradox数据库，开发了结构陶瓷数据库管理系统，实现了按陶瓷材料结构组成分类的正向查询和按性能要求的多条件复合查询，为陶瓷材料的正确选用提供了方便。     

《塑料加工数据库》1.0版本的结构与功能

用SQL Server 2000软件开发了国内首套在Windows 2000系统下运行的1.0版本<塑料加工数据库>.介绍了数据库的基本框架结构、应用范围以及数据库的功能.该数据库框架结构合理、数据详实可靠、含盖范围宽、技术信息和商业资讯的时效性强,能进行精确查询和模糊查询.为塑料加工企业提供了一个相互认识和了解的平台,给塑料加工制造商带来了巨大的商机.     

An object-oriented database for protein structure analysis

An object-oriented database system has been developed whichis being used to store protein structure data. The databasecan be queried using the logic programming language Prolog orthe query language Daplex. Queries retrieve information by navigatingthrough a network of objects which represent the primary, secondaryand tertiary structures of proteins. Routines written in bothProlog and Daplex can integrate complex calculations with theretrieval of data from the database, and can also be storedin the database for sharing among users. Thus object-orienteddatabases are better suited to prototyping applications andanswering complex queries about protein structure than relationaldatabases. This system has been used to find loops of varyinglength and anchor positions when modelling homologous proteinstructures.     

Comparison of systematic search and database methods for constructing segments of protein structure

Two principal methods of determining the conformation of shortpieces of polypeptide backbone in proteins have been developed:using a database of known structures and systematicallygeneratingall conformations. In this paper, we compare the effectivenessof these two techniques. The completeness of the database forsegments of different lengths is examined and it is found tocontain most conformations for segments seven residues long,but to deteriorate rapidly for longer regions. When the databasesegment is to be incorporated into the rest of a structure,at least seven residues are required to build four new residues,because of the need to positionthe segment relative to the restof the structure.It is found that such positioning using flankingresidues results in large errors in the inserted region. Weconclude that the database method is currently not effectivefor comparative modeling, even for short segments. The systematicsearchprocedure is found to generate almost all structures of shortsegments found in proteinsIn contrast to the database method,low root mean square error structures are obtained for a setof trial segments embedded in the rest of a protein structure.Thus, it should be considered the method of choice.     

Viscosity of ionic liquids: Database,observation, and quantitative structure‐property relationship analysis

Viscosity data for ionic liquids (ILs) are needed for the theoretical study on viscosity or for the design/development of industrial process that involves ILs; understanding the relationship between ionic structure and viscosity is also desired to more rationally design and synthesize ILs with ideal viscosity. A database for the viscosity of pure ILs and their binary/ternary mixtures with molecular compounds is created by performing a comprehensive collection from published scientific literature sources worldwide covering the period from 1970 to 2009. In this database, there are 5046 data entries, 696 ILs, 306 cations, and 138 anions. Following the database, a direct observation of the effects of ionic structure along with temperature, pressure, and impurity on the viscosity is summarized, and a quantitative structure‐property relationship (QSPR) correlation is performed to understand the viscosity at a micro‐electronic or molecular level. Through direct observation and QSPR, the relationship between ILs structure and viscosity is addressed. © 2011 American Institute of Chemical Engineers AIChE J, 2012     

中国古陶瓷器型结构数据库的建立

根据古陶瓷数据资料的特点和研究工作的要求,采用当今先进的关系数据库模型构造了中国古陶瓷器型结构数据库系统。本文对该数据库的设计和建立等做了较详细的介绍。     

A novel search method for protein sequence-structure relations using property profiles

In protein engineering and design it is very important thatresidues can be inspected in their specific environment. A standardrelational database system cannot serve this purpose adequatelybecause it cannot handle relations between individual residues.With SCAN3D we introduce a new database system for integratedsequence and structure analysis of proteins. It uses the relationalparadigm wherever possible. Its main power, however, stems fromthe ability to retrieve stretches of consecutive residues withcertain properties by comparing a property profile with allstretches of residues in the database, exploiting the orderedcharacter of proteins. In doing so, it bypasses the large numberof join operations that would be required by relational databasesystems. An additional advantage of using property profile matchingis that searches can be carried out allowing a pre-set numberof mismatches. Also, as the database is read-only, SCAN3D doesnot need interactive data update mechanisms. Queries typicalof a molecular engineering environment are demonstrated withspecific examples: analysis of peptides that induce local structure,analysis of site-dependent rotamers and residue-residue contactanalysis     

Exploring the limits of nearest neighbour secondary structure prediction

This paper presents a simple and robust secondary structure prediction scheme (SIMPA96) based on an updated version of the nearest neighbour method. Using a larger database of known structures, the Blosum 62 substitution matrix and a regularization algorithm, the three state prediction accuracy is increased by 4.7 percentage points to 67.7% for a single sequence and up to 72.8% when using multiple alignments. The increase in prediction accuracy with respect to the previous version can be almost entirely ascribed to the sevenfold increase in the size of the database. A more detailed analysis of the results shows that badly predicted regions of a protein sequence are randomly distributed throughout the database and that the goal of perfect secondary structure predictions by methods which use only local sequence information is illusory.