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    CONJUGATES COMPRISING HYDROXYALKYL STARCH AND A CYTOTOXIC AGENT AND PROCESS FOR THEIR PREPARATION
    1.
    发明申请
    CONJUGATES COMPRISING HYDROXYALKYL STARCH AND A CYTOTOXIC AGENT AND PROCESS FOR THEIR PREPARATION 审中-公开
    包含羟基烷基淀粉和细胞毒素的方法及其制备方法

    公开(公告)号：US20130217871A1

    公开(公告)日：2013-08-22

    申请号：US13809203

    申请日：2011-07-11

    申请人： Helmut Knoller ,  Dominik Heckmann ,  Frank Hacket ,  Norbert Zander ,  Saswata Lahiri ,  Nitin Gupta ,  Vivek Kumar ,  Mukesh Madan Mudgal

    发明人： Helmut Knoller ,  Dominik Heckmann ,  Frank Hacket ,  Norbert Zander ,  Saswata Lahiri ,  Nitin Gupta ,  Vivek Kumar ,  Mukesh Madan Mudgal

    IPC分类号： C08B31/00

    CPC分类号： C08B31/00 ,  A61K47/61

    摘要： The present invention relates to hydroxyalkyl starch conjugates and a method for preparing the same, the hydroxyalkyl starch conjugate comprising a hydroxyalkyl starch derivative and a cytotoxic agent, the cytotoxic agent comprising at least one primary hydroxyl group, wherein the hydroxyalkyl starch is linked via said primary hydroxyl group to the cytotoxic agent. The conjugates according to the present invention have a structure according to the following formula HAS′(-L-M)n wherein M is a residue of the cytotoxic agent, L is a linking moiety, HAS′ is the residue of the hydroxyalkyl starch derivative, and n is greater than or equal to 1, and wherein the hydroxyalkyl starch derivative has a mean molecular weight (MW) above the renal threshold and a molar substitution (MS) in the range of from 0.6 to 1.5.

    摘要翻译： 本发明涉及羟基烷基淀粉共轭物及其制备方法，包含羟烷基淀粉衍生物和细胞毒性剂的羟烷基淀粉缀合物，细胞毒性剂包含至少一个伯羟基，其中羟烷基淀粉通过所述初级 羟基对细胞毒性剂。 根据本发明的缀合物具有根据下式HAS'（ - LM）n的结构，其中M是细胞毒性剂的残基，L是连接部分，HAS'是羟烷基淀粉衍生物的残基，以及 n大于或等于1，其中羟烷基淀粉衍生物的平均分子量（MW）高于肾阈值，摩尔取代度（MS）在0.6至1.5的范围内。

    Virtualized data storage system architecture
    8.
    发明授权
    Virtualized data storage system architecture 有权

    公开(公告)号：US10831721B2

    公开(公告)日：2020-11-10

    申请号：US12730185

    申请日：2010-03-23

    申请人： David Tze-Si Wu ,  Steven McCanne ,  Michael J. Demmer ,  Nitin Gupta

    发明人： David Tze-Si Wu ,  Steven McCanne ,  Michael J. Demmer ,  Nitin Gupta

    IPC分类号： G06F16/188 ,  G06F16/172 ,  G06F12/0862 ,  G06F3/06

    摘要： Virtual storage arrays consolidate branch data storage at data centers connected via wide area networks. Virtual storage arrays appear to storage clients as local data storage; however, virtual storage arrays actually store data at the data center. The virtual storage arrays overcomes bandwidth and latency limitations of the wide area network by predicting and prefetching storage blocks, which are then cached at the branch location. Virtual storage arrays leverage an understanding of the semantics and structure of high-level data structures associated with storage blocks to predict which storage blocks are likely to be requested by a storage client in the near future. Virtual storage arrays determine the association between requested storage blocks and corresponding high-level data structure entities to predict additional high-level data structure entities that are likely to be accessed. From this, the virtual storage array identifies the additional storage blocks for prefetching.

    Name disambiguation using context terms
    9.
    发明授权
    Name disambiguation using context terms 有权

    公开(公告)号：US09830379B2

    公开(公告)日：2017-11-28

    申请号：US12955253

    申请日：2010-11-29

    申请人： Nitin Gupta ,  Abhinandan S. Das

    发明人： Nitin Gupta ,  Abhinandan S. Das

    IPC分类号： G06F17/30

    CPC分类号： G06F17/3064

    摘要： Methods, systems and apparatus, including computer programs encoded on a computer storage medium, for disambiguating names in a document corpus. In an aspect, a method includes generating context term lists for a person name, each context term list being a list of context terms from a resource for the person name; clustering the context term lists into a plurality of clusters, each of the clusters of context term lists including context term lists that are most similar to the cluster relative to other clusters; for each of the clusters, selecting a representative term for the cluster; receiving the person name as a search query; and generating a plurality of query suggestions from the search query and the representative terms for the clusters, each query suggesting being a combination of the person name and one representative term.

    Query generation using structural similarity between documents
    10.
    发明授权
    Query generation using structural similarity between documents 有权
    使用文档之间的结构相似性的查询生成

    公开(公告)号：US09092479B1

    公开(公告)日：2015-07-28

    申请号：US13620500

    申请日：2012-09-14

    申请人： Steven D. Baker ,  Michael Flaster ,  Nitin Gupta ,  Paul G. Haahr ,  Srinivasan Venkatachary ,  Yonghui Wu

    发明人： Steven D. Baker ,  Michael Flaster ,  Nitin Gupta ,  Paul G. Haahr ,  Srinivasan Venkatachary ,  Yonghui Wu

    IPC分类号： G06F17/30

    CPC分类号： G06F17/30563 ,  G06F17/248 ,  G06F17/30389 ,  G06F17/3064 ,  G06F17/30864

    摘要： Methods, systems, and apparatus, including computer program products, for generating synthetic queries using seed queries and structural similarity between documents are described. In one aspect, a method includes identifying embedded coding fragments (e.g., HTML tag) from a structured document and a seed query; generating one or more query templates, each query template corresponding to at least one coding fragment, the query template including a generative rule to be used in generating candidate synthetic queries; generating the candidate synthetic queries by applying the query templates to other documents that are hosted on the same web site as the document; identifying terms that match structure of the query templates as candidate synthetic queries; measuring a performance for each of the candidate synthetic queries; and designating as synthetic queries the candidate synthetic queries that have performance measurements exceeding a performance threshold.

    摘要翻译： 描述了使用种子查询和文档之间的结构相似性来生成合成查询的方法，系统和装置，包括计算机程序产品。 一方面，一种方法包括从结构化文档和种子查询中识别嵌入的编码片段（例如HTML标签）; 生成一个或多个查询模板，每个查询模板对应于至少一个编码片段，所述查询模板包括要用于生成候选综合查询的生成规则; 通过将查询模板应用于与文档在同一网站上托管的其他文档来生成候选综合查询; 将与查询模板的结构匹配的条款识别为候选综合查询; 测量每个候选综合查询的性能; 并且将具有超过性能阈值的性能测量的候选综合查询指定为合成查询。