LATEX RESIN COMPOSITION FOR RUBBER GLOVES WITHOUT SULFUR AND VULCANIZATION ACCELEATOR AND METHOD OF MANUFACTURING DIP-FORMED ARTICLE USING THE COMPOSITION
    5.
    发明申请
    LATEX RESIN COMPOSITION FOR RUBBER GLOVES WITHOUT SULFUR AND VULCANIZATION ACCELEATOR AND METHOD OF MANUFACTURING DIP-FORMED ARTICLE USING THE COMPOSITION 有权
    不含硫和硫化橡胶的橡胶手套的LATEX树脂组合物和使用该组合物制造DIP形成的制品的方法

    公开(公告)号:US20110229646A1

    公开(公告)日:2011-09-22

    申请号:US13121151

    申请日:2009-08-10

    IPC分类号: B05D3/02 C08L33/18

    摘要: The present invention provides a latex resin composition for rubber gloves without sulfur and a vulcanization accelerator and a method of manufacturing dip-formed article using the composition. The composition comprises a conjugated diene monomer; an ethylenically unsaturated nitrile monomer; an ethylenically unsaturated acid monomer; an ethylenically unsaturated monomer copolymerizable with the ethylenically unsaturated nitrile monomer and the ethylenically unsaturated acid monomer; and a reactive compound including two or more reactive groups. According to the manufacturing method, productivity is improved by omitting a long maturation process included in a traditional glove manufacturing process; not only an adverse effect caused by traditional sulfur and vulcanization accelerator is reduced but also rubber gloves with excellent physical properties can be provided.

    摘要翻译: 本发明提供了一种无硫橡胶手套的胶乳树脂组合物和硫化促进剂,以及使用该组合物制造浸渍成型制品的方法。 组合物包含共轭二烯单体; 烯属不饱和腈单体; 烯属不饱和酸单体; 可与烯键式不饱和腈单体和烯属不饱和酸单体共聚的烯属不饱和单体; 和包含两个或更多个反应性基团的反应性化合物。 根据制造方法,通过省略包括在传统手套制造工艺中的长成熟工艺来提高生产率; 不仅可以减少由传统硫磺和硫化促进剂引起的不利影响,而且可以提供具有优异物理性能的橡胶手套。

    SYSTEM AND METHOD FOR IDENTIFYING AND CLASSIFYING RESISTANCE GENES OF PLANT USING HIDDEN MARCOV MODEL
    7.
    发明申请
    SYSTEM AND METHOD FOR IDENTIFYING AND CLASSIFYING RESISTANCE GENES OF PLANT USING HIDDEN MARCOV MODEL 审中-公开
    使用隐藏MARCOV模型识别植物和分类抗性基因的系统和方法

    公开(公告)号:US20120271558A1

    公开(公告)日:2012-10-25

    申请号:US13515006

    申请日:2010-01-19

    IPC分类号: G06F19/24

    CPC分类号: G16B40/00

    摘要: The present invention relates to a system and a method for quickly and accurately identifying and classifying resistance genes of a plant from a protein or DNA sequence. In order to identify and classify resistance genes of a plant using a hidden marcov model, conceived is a profile matrix made using a protein sequence of a domain which is encoded by the resistance genes, and a system for identifying the domain of the resistance genes using the profile matrix and classifying the resistance genes by domain combination. The present invention enables effective identification and classification of the resistance genes of a plant using the profile matrix and program, of which the nucleotide base sequence or protein sequence is detected.

    摘要翻译: 本发明涉及从蛋白质或DNA序列快速准确地鉴定和分类植物的抗性基因的系统和方法。 为了使用隐藏的marcov模型来鉴定和分类植物的抗性基因,构想是使用由抗性基因编码的结构域的蛋白质序列制成的轮廓矩阵,以及用于鉴定抗性基因的结构域的系统,其使用 轮廓矩阵,并通过域组合对抗性基因进行分类。 本发明可以使用检测到核苷酸碱基序列或蛋白质序列的轮廓矩阵和程序有效地鉴定和分类植物的抗性基因。

    APPARATUS AND METHOD FOR AUTOMATICALLY GENERATING GRAMMAR FOR USE IN PROCESSING NATURAL LANGUAGE
    8.
    发明申请
    APPARATUS AND METHOD FOR AUTOMATICALLY GENERATING GRAMMAR FOR USE IN PROCESSING NATURAL LANGUAGE 有权
    用于自动生成GRAMMAR以用于处理自然语言的装置和方法

    公开(公告)号:US20120179454A1

    公开(公告)日:2012-07-12

    申请号:US13248320

    申请日:2011-09-29

    IPC分类号: G06F17/27

    CPC分类号: G06F17/274

    摘要: Provided is an apparatus and method for automatically generating grammar for use in the processing of natural language. The apparatus may extract a corpus relevant to a target domain from a collection of corpora and may generate grammar for use in the target domain based on the extracted corpus. The apparatus may set one domain out of a plurality of domains as a target domain to be processed by an intention analysis system. The apparatus may extract a corpus relevant to the target domain from a collection of corpora and generate grammar based on the extracted corpus.

    摘要翻译: 提供了一种用于自动生成用于自然语言处理的语法的装置和方法。 设备可以从语料库的集合中提取与目标域相关的语料库,并且可以基于提取的语料库生成用于目标域的语法。 设备可以将多个域中的一个域设置为要由意图分析系统处理的目标域。 该装置可以从语料库的集合中提取与目标域相关的语料库,并且基于提取的语料库生成语法。