Text Automatic Classfication Research Based on Concept

随着因特网的迅猛发展，大量的信息朝着人们扑面而来，如何管理好所得到的信息的问题变得越来越突出，对文本进行分类管理是人们经常采用的一种文件管理方法。 本文提出了一个基于概念的自然语言文本自动分类模型，该模型以《知网》为主要的概念知识源，以词所表示的概念为分类基础，把概念继续分解至义原，并在可分义原组成的向量空间进行文本分类。该模型概述如下：文本分类系统分为训练模块和分类模块,义原分为可分义原和不可分义原，文本在经过预处理后，按一定规则提取出关键词，对有岐义的关键词，根据其词性和上下文对对其进行概念排岐，根据关键词所表示的概念在《知网》中的定义，把关键词分解成义原，并将不可分义原剔除，从而把文本...With the rapid growth of Internet, lots of information surges toward us. It has been an urgent problem on how to manage all the information we have gotten. Text Categorization(TC) is an important method man usually use to deal with this problem. This paper proposes a new automatic natural language text categorization module based on concept. This module takes How-Net as the main source of knowled...学位：工学硕士院系专业：计算机与信息工程学院计算机科学系_计算机应用技术学号：19992800

a technique for detecting malicious documents based on calculation of vector spaces

通过对恶意文档的攻击方式、组成结构和攻击代码的全面分析,提出了一种基于空间向量计算的检测方法,针对典型的变形手段提出了有针对性的改进.对119个文档进行了检测,结果表明,与传统检测软件相比,该算法对恶意文档检测在漏报率和误报率上均具备一定优势

A Module of Automatic Chinese Documents Classification Based on Concept

文章提出一个电子文档的自动分类的模型:基于《知网》之上,经过对文档的关键词的抽取和排歧,进而得到关键词的概念,再对关键词的概念进行综合而得到该文本所属的类别,实验证明该模型有较好的效果。This paper presents a module of automatic Chinese documents classification.After gettin

Free energy decomposition analysis of bonding and nonbonding interactions in solution

A free energy decomposition analysis algorithm for bonding and nonbonding interactions in various solvated environments, named energy decomposition analysis-polarizable continuum model (EDA-PCM), is implemented based on the localized molecular orbital-energy decomposition analysis (LMO-EDA) method, which is recently developed for interaction analysis in gas phase [P. F. Su and H. Li, J. Chem. Phys. 130, 074109 (2009)]. For single determinant wave functions, the EDA-PCM method divides the interaction energy into electrostatic, exchange, repulsion, polarization, desolvation, and dispersion terms. In the EDA-PCM scheme, the homogeneous solvated environment can be treated by the integral equation formulation of PCM (IEFPCM) or conductor-like polarizable continuum model (CPCM) method, while the heterogeneous solvated environment is handled by the Het-CPCM method. The EDA-PCM is able to obtain physically meaningful interaction analysis in different dielectric environments along the whole potential energy surfaces. Test calculations by MP2 and DFT functionals with homogeneous and heterogeneous solvation, involving hydrogen bonding, vdW interaction, metal-ligand binding, cation-pi, and ionic interaction, show the robustness and adaptability of the EDA-PCM method. The computational results stress the importance of solvation effects to the intermolecular interactions in solvated environments. c 2012 American Institute of Physics. [http://dx.doi.org/10.1063/1.4736533]Ministry of Science and Technology of China [2011CB808504]; Natural Science Foundation of China [21120102035, 21003101

盐析与疏水层析相结合快速分离提纯猪胰激肽释放酶

将疏水层析技术用于从猪胰脏中分离纯化激肽释放酶,建立了一种简便、快速的分离提纯方法:将粗品溶解后经过硫酸铵沉淀处理,然后经过Butyl Sepharose FF疏水层析后得到目标蛋白,分析其纯度大于500U/mg,盐析和疏水两步纯化的收率大于85.0%.同时比较了Phenyl Sepharose FF,Octyl Sepharose FF和Butyl Sepharose FF三种疏水介质分离纯化胰K的效果.本实验工艺与传统工艺相比,具有操作简单、快速、回收率和纯化倍数高等优点,有望成为一种从动物组织中快速分离纯化药用蛋白质的有效技术平台

盐析与疏水层析相结合快速分离提纯猪胰激肽释放酶

将疏水层析技术用于从猪胰脏中分离纯化激肽释放酶，建立了一种简便、快速的分离提纯方法：将粗品溶解后经过硫酸铵沉淀处理，然后经过Butyl Sepharose FF疏水层析后得到目标蛋白，分析其纯度大于500U／mg，盐析和疏水两步纯化的收率大于85．0％，同时比较了Phenyl Sepharose FF,Octyl Sepharose FF和Butyl Sepharose FF三种疏水介质分离纯化胰K的效果，本实验工艺与传统工艺相比，具有操作简单、快速、回收率和纯化倍数高等优点，有望成为一种从动物组织中快速分离纯化药用蛋白质的有效技术平台