小知识1:电子文献类型标志/载体类型标志

联机网上数据库(database online):[DB/OL];磁带数据库(database on magnetic tape):[DB/MT];光盘图书(monograph on CD-ROM):[M/CD];磁盘软件(computer program on disk):[CP/DK];网上     

小知识1:电子文献类型标志/载体类型标志

联机网上数据库(database online):[DB/OL];磁带数据库(database on magnetic tape):[DB/MT];光盘图书(monograph on CD-ROM):[M/CD];磁盘软件(computer program on disk):[CP/DK];网上期     

小知识：电子文献类型标志／载体类型标志

联机网上数据库（database online）：[DB／OL]；磁带数据库（database on magnetic tape）：[DB／MT]；光盘图书（monograph on CD—ROM）：[M／CD]；磁盘软件（computer program on disk）：[CP／DK]；     

小知识2：电子文献类型标志／载体类型标志

联机网上数据库（database online）：[DB／OL]；磁带数据库（database on magnetictape）：[DB／MT]；光盘图书（monographon CD—ROM）：[M／CD]；磁盘软件（computer program on disk）：[CP／DK]；     

参考文献中电子文献的著录规范

非纸张型载体的电子文献，当被引用为参考文献时需要在参考文献类型标识中同时标明其载体类型。电子文献的类型标识格式为[文献类型标识／载体类型标识]：[DB／OL]—联机网上数据库，[DB／MT]——磁带数据库，[M／CD]——光盘图书，[CP／DK]——磁盘软件，[J／OL]——网上期刊]，[EB／OL]——网上电子公告。电子文献的著录格式为：[序号]主要责任者．     

小知识2:文献类型和标志代码

普通图书:[M];会议录:[C];汇编:[G];报纸:[N];期刊:[J];学位论文:[D];报告:[R];标准:[S];专利:[P];数据库:[DB];计算机程序:[CP];电子公告:[EB]     

小知识2:文献类型和标志代码

普通图书:[M];会议录:[C];汇编:[G];报纸:[N];期刊:[J];学位论文:[D];报告:[R];标准:[S];专利:[P];数据库:[DB];计算机程序:[CP];电子公告:[EB]     

小知识2:文献类型和标志代码

普通图书:[M];会议录:[C];汇编:[G];报纸:[N];期刊:[J];学位论文:[D];报告:[R];标准:[S];专利:[P];数据库:[DB];计算机程序:[CP];电子公告:[EB]     

小知识1:文献类型和标志代码

普通图书:[M];会议录:[C];汇编:[G];报纸:[N];期刊:[J];学位论文:[D];报告:[R];标准:[S];专利:[P];数据库:[DB];计算机程序:[CP];电子公告:[EB]     

小知识1:文献类型和电子文献载体标志代码

<正>1.文献类型和标志代码普通图书:M;会议录:C;汇编:G;报纸:N;期刊:J;学位论文:D;报告:R;标准:S;专利:P;数据库:DB;计算机程序:CP;电子公告:EB2.电子文献载体和标志代码磁带(magnetic tape):MT;磁盘(disk):DK;光盘(CD-ROM):CD;联机网络(online):OL     

小知识1：文献类型和标志代码

普通图书：[M]；会议录：[C]；汇编：[G]；报纸：[N]；期刊：[J]；学位论文：[D]；报告：[R]；标准：[S]；专利：[P]；数据库：[DB]；计算机程序：[cP]；电子公告：[EB]     

小知识:文献类型和电子文献载体标志代码

(1)文献类型和标志代码普通图书:M;会议录:C;汇编:G;报纸:N;期刊:J;学位论文:D;报告:R;标准:S;专利:P;数据库:DB;计算机程序:CP;电子公告:EB(2)电子文献载体和标志代码磁带(magnetic tape):MT;磁盘(disk):DK;光盘(CD-ROM):CD;联机网络(online):OL     

小知识3:文献类型和标志代码

普通图书：[M]；会议录：[C]；汇编：[G]；报纸：[N]；期刊：[J]；学位论文：[D]；报告：[R]；标准：[S]；专利：[P]；数据库：[DB]；计算机程序：[CP]；电子公告：[EB]     

参考文献著录格式（2）

1．电子文献对于载体为“OL”的文献，除了将对应的印刷版的[文献类型标识]换成[文献类型标W载体类型标识]以外，尚需在对应的印刷版著录项目后加上发表或更新日期（加圆括号）、引用日期（加方括号）和电子文献的网址．     

Performance Prediction for Performance-Sensitive Queries Based on Algorithmic Complexity

Performance predictions for database queries allow service providers to determine what resources are needed to ensure their performance. Cost-based or rule-based approaches have been proposed to optimize database query execution plans. However, Virtual Machine （VM）-based database services have little or no sharing of resources or interactions between applications hosted on shared infrastructures. Neither providers nor users have the right combination of visibility/access/expertise to perform proper tuning and provisioning. This paper presents a performance prediction model for query execution time estimates based on the query complexity for various data sizes. The user query execution time is a combination of five basic operator complexities： O（1）, O（log（n））, O（n）, O（nlog（n））, and O（n2）. Moreover, tests indicate that not all queries are equally important for performance prediction. As such, this paper illustrates a performance-sensitive query locating process on three benchmarks： RUBiS, RUBBoS, and TPC-W. A key observation is that performance-sensitive queries are only a small proportion （20%） of the application query set. Evaluation of the performance model on the TPC-W benchmark shows that the query complexity in a real life scenario has an average prediction error rate of less than 10% which demonstrates the effectiveness of this predictive model.     

Construction and visualization of high-resolution three-dimensional anatomical structure datasets for Chinese digital human

The objective of the China Digital Human Project （CDH） is to digitize and visualize the anatomical structures of human body. In the project, a database with information of morphology, physical characteristics and physiological function will be constructed. The raw data of CDH which was completed in the Southern Medical University is employed. In Huazhong University of Science and Technology （HUST）, the frozen section images are preprocessed, segmented, labeled in accordance with the major organs and tissues of human beings, and reconstructed into three-dimensional （3D） models in parallel on high performance computing clusters （HPC）. Some visualization software for 2D atlas and 3D models are developed based on the new dataset with high resolution （0.1 mm× 0.1 mm × 0.2 mm）. In order to share, release and popularize the above work, a website （www.vch.org.cn） is online. The dataset is one of the most important parts in the national information database and the medical infrastructure.     

Analysis of biomarkers for the cross-linkage of formaldehyde with bovine serum albumin peptides

Formaldehyde, a well-known environmental toxic hazard, has been found to produce endogenously via semicarbazide-sensitive amine oxidase-catalyzed oxidative deamination of methylamine. In diabetes, the activity of SSAO has been found to increase with a subsequent increase in endogenous formaldehyde production. It has been postulated that SSAO-induced production of formaldehyde may be involved in the alteration of protein structure, which may subsequently cause protein deposition associated with chronic pathological disorders. Formaldehyde has also been found to react （cross-link） with amino group of the N-terminal amino acid residue and with the side-chains of arginine, cysteine, histidine and lysine residues. Therefore, formaldehyde may be responsible, at least in part, for protein cross-linkage, oxidative stress and cytotoxicity. The cross-linking of formaldehyde with bovine serum albumin was studied using LC-MS and Mascot database. The peptides sequence for control BSA （untreated） digested with trypsin was matched in the online database search query by exporting the MS/MS data to online MASCOT database. In this way, a total of twenty-seven peptides were matched in the database search query. These twenty-seven peptides were then searched manually in all of the tryptic BSA samples treated with different concentrations of FA that were incubated in different time intervals. Six formaldehyde-treated BSA peptides （FKDLGEEHFK, HLVDEPQNLIK, KVPQVSTPTLVEVSR, RPCFSALTPDETYVPK, LVNELTEFAK, DAFLGSFLYEYSR） were found to be the possible markers for formaldehyde-protein/peptides adducts.     

专利文献著录格式

[序号]专利申请者或所有者.专利题名：专利国别,专利号[文献类型标志].公告日期或[公开日期].获取和访问路径.示例：[1]姜锡洲.一种温热外敷药制备方案：中国,88105607,3[P].1989-07-26.[2]西安电子科技大学.光折变自适应光外差探测方法：中国,01128777.2[P/OL].2002-03-06[2002-05-28].http;//211.152.9.47/sipoasp/zljs/hyjs-yx-new.asp？recid=01128777.2＆Ieixin=0.     

DB2数据库日志管理和应用

随着计算机技术飞速发展，DB2通用数据库（DB2UDB）以其巨大的优势慢慢渗透到各行各业，对其进行高效的运行管理，也成了数据库管理员面临的主要问题。DB2事务日志也是数据库系统安全正常运行的重要组成部分，本文从理论出发，结合实践，阐述了数据库管理员对DB2数据库日志管理与理解。     

An ontology reasoning architecture for data mining knowledge management

In order to realize the intelligent management of data mining （DM） domain knowledge, this paper presents an architecture for DM knowledge management based on ontology. Using ontology database, this architecture can realize intelligent knowledge retrieval and automatic accomplishment of DM tasks by means of ontology services. Its key features include：①Describing DM ontology and meta-data using ontology based on Web ontology language （OWL）.② Ontology reasoning function. Based on the existing concepts and relations, the hidden knowledge in ontology can be obtained using the reasoning engine. This paper mainly focuses on the construction of DM ontology and the reasoning of DM ontology based on OWL DL（s）.