BIOMATERIAL COMPOSITE COMPOSITION AND METHOD OF USE
    1.
    发明申请
    BIOMATERIAL COMPOSITE COMPOSITION AND METHOD OF USE 审中-公开
    生物组合物组合物及其使用方法

    公开(公告)号:WO2012154474A4

    公开(公告)日:2013-02-21

    申请号:PCT/US2012036214

    申请日:2012-05-03

    CPC classification number: A61K38/1858 A61K9/0024 A61K9/06 A61K35/19 A61K38/18

    Abstract: This invention relates to a process to facilitate osteochondral bone remodeling. The process involves the steps of: administering an effective amount of an injectable in situ curing biomaterial composite to a site. The biomaterial composite product is prepared by a process involving the steps: admixing an alginate solution with a nonporous aggregate of p-tricalcium phosphate, in a sufficient amount to initiate polymerization of the alginate solution, to form a hydrogel having from between 10 to 20 percent by volume of p-tricalcium phosphate.

    Abstract translation: 本发明涉及促进骨软骨骨重建的方法。 该方法包括以下步骤:向站点施用有效量的可原位固化的生物材料复合物。 生物材料复合产品通过包括以下步骤的方法制备:将藻酸盐溶液与无孔磷酸聚磷酸钙混合,足量引发藻酸盐溶液的聚合,形成具有10至20% 体积的磷酸三钙。

    MEMORY DEVICES, METHODS OF STORING AND READING DATA, SMM JUNCTIONS, AND METHODS OF PREPARING ALUMINA SUBSTRATES
    2.
    发明申请
    MEMORY DEVICES, METHODS OF STORING AND READING DATA, SMM JUNCTIONS, AND METHODS OF PREPARING ALUMINA SUBSTRATES 审中-公开
    存储器件,存储和读取数据的方法,SMM结和制备氧化铝衬底的方法

    公开(公告)号:WO2011041772A3

    公开(公告)日:2011-05-19

    申请号:PCT/US2010051297

    申请日:2010-10-04

    Inventor: YU LAM H

    CPC classification number: G11C13/0014 G11C13/0016 Y10T428/31678

    Abstract: Various aspects of the invention provide memory devices, methods of storing and reading data, and silver/molecular-layer/metal (SMM) junctions. One aspect of the invention provides a memory device including a plurality of SMM junctions and an electrical structure configured to permit application of electricity across one or more of the plurality of SMM junctions. Another aspect of the invention provides a method of storing data on a memory device including a plurality of SMM junctions. The method includes applying electrical energy across a subset of the SMM junctions to switch the junction to a more conductive state. Another aspect of the invention provides an SMM junction including a silver layer, a copper layer, and a molecular layer positioned between the silver layer and the copper layer.

    Abstract translation: 本发明的各个方面提供存储器件,存储和读取数据的方法以及银/分子层/金属(SMM)结。 本发明的一个方面提供了一种存储器件,其包括多个SMM结和电气结构,该电气结构被配置为允许跨越多个SMM结中的一个或多个施加电力。 本发明的另一方面提供了一种在包括多个SMM结的存储设备上存储数据的方法。 该方法包括在SMM结的子集上施加电能以将结转换成更导电的状态。 本发明的另一方面提供了一种SMM结,其包括银层,铜层和位于银层和铜层之间的分子层。

    SYSTEMS, METHODS, AND COMPUTER-READABLE MEDIA FOR DETECTING AND PREDICTING A PROGRESSION OF RETINAL PATHOLOGIES
    3.
    发明申请
    SYSTEMS, METHODS, AND COMPUTER-READABLE MEDIA FOR DETECTING AND PREDICTING A PROGRESSION OF RETINAL PATHOLOGIES 审中-公开
    用于检测和预测视网膜病变进展的系统,方法和计算机可读介质

    公开(公告)号:WO2011022488A3

    公开(公告)日:2011-04-28

    申请号:PCT/US2010045902

    申请日:2010-08-18

    CPC classification number: A61B3/10 G06K9/6247 G06K9/6256 G16H50/20

    Abstract: One aspect of the invention provides a method for training a classification algorithm to detect a retinal pathology. The method includes: for a plurality of pseudo two-dimensional data sets of one-dimensional data points, each pseudo two- dimensional data point representing RNFL thickness values for a subject and corresponding index values for the data points: performing fractal analysis on the data set to calculate a plurality of fractal dimensions and calculating a plurality of slopes between each fractal dimension; combining the plurality of slopes for subjects labeled as pathologic into a pathologic data set; combining the plurality of slopes for subjects labeled as healthy into a healthy data set; and applying a linear discriminant function the pathologic data set and the healthy data set; thereby training a classification algorithm to detect the retinal pathology.

    Abstract translation: 本发明的一个方面提供了用于训练分类算法以检测视网膜病变的方法。 该方法包括:对于一维数据点的多个伪二维数据集,表示对象的RNFL厚度值的每个伪二维数据点以及该数据点的对应索引值:对数据执行分形分析 设置为计算多个分形维数并计算每个分形维数之间的多个斜率; 将标记为病理的受试者的多个斜率组合为病理数据集; 将标记为健康的主体的多个斜率组合为健康数据集; 并对病理数据集和健康数据集应用线性判别函数; 从而训练分类算法来检测视网膜病变。

    METHODS AND COMPUTER-PROGRAM PRODUCTS FOR TEACHING A TOPIC TO A USER
    4.
    发明申请
    METHODS AND COMPUTER-PROGRAM PRODUCTS FOR TEACHING A TOPIC TO A USER 审中-公开
    用于向用户教授主题的方法和计算机程序产品

    公开(公告)号:WO2011005973A3

    公开(公告)日:2011-03-03

    申请号:PCT/US2010041387

    申请日:2010-07-08

    CPC classification number: G06Q50/20 G06Q30/02 G09B7/00

    Abstract: Aspects of the invention provide methods and computer-program products for teaching a topic to a user. One aspect of the invention provides a method for teaching a topic to a user. The method includes: administering one or more question to assess the user's knowledge of the topic; displaying a first interactive pedagogical agent and a second interactive pedagogical agent; and facilitating a trialog between the user, the first interactive pedagogical agent, and the second interactive pedagogical agent.

    Abstract translation: 本发明的方面提供了用于向用户教授主题的方法和计算机程序产品。 本发明的一个方面提供了一种用于向用户教授主题的方法。 该方法包括:管理一个或多个问题以评估用户对该主题的知识; 展示第一个交互式教学代理和第二个交互式教学代理; 并且促进用户,第一交互式教学代理和第二交互式教学代理之间的试用。

    CELL GROWTH APPARATUS AND USE OF AEROGELS FOR DIRECTED CELL GROWTH
    6.
    发明申请
    CELL GROWTH APPARATUS AND USE OF AEROGELS FOR DIRECTED CELL GROWTH 审中-公开
    细胞生长装置和用于指导细胞生长的空白样品的使用

    公开(公告)号:WO2010121034A3

    公开(公告)日:2011-03-31

    申请号:PCT/US2010031253

    申请日:2010-04-15

    Inventor: SABRI FIROUZEH

    Abstract: This invention describes a cell growth apparatus, particularly neuronal printed circuit board apparatus comprising an aerogel base and a pre-printed cellular growth pattern. The cellular growth pattern is comprised of combinations of layers of cellular adhesion promoting materials, cellular adhesion inhibiting materials, and/or cellular signal promoting materials. The invention further describes methods of promoting cell growth using the neuronal printed circuit board apparatus of the invention. The invention is useful for regeneration and precise guidance of cells, particularly nerve cells, when used as an implant.

    Abstract translation: 本发明描述了一种细胞生长装置,特别是神经元印刷电路板装置,其包括气凝胶基底和预打印的细胞生长图案。 细胞生长模式由细胞粘附促进材料层,细胞粘附抑制材料和/或细胞信号促进材料的组合组成。 本发明还描述了使用本发明的神经元印刷电路板装置促进细胞生长的方法。 当用作植入物时,本发明可用于细胞,特别是神经细胞的再生和精确引导。

    METHODS AND SYSTEMS FOR AUTOMATIC CLUSTERING OF DEFECT REPORTS
    7.
    发明申请
    METHODS AND SYSTEMS FOR AUTOMATIC CLUSTERING OF DEFECT REPORTS 审中-公开
    自动聚类缺陷报告的方法与系统

    公开(公告)号:WO2010085620A3

    公开(公告)日:2010-11-04

    申请号:PCT/US2010021763

    申请日:2010-01-22

    CPC classification number: G06F17/3071 G06Q10/10

    Abstract: One embodiment of the invention provides a method of grouping defects. The method includes the steps of obtaining a plurality of defect reports, preprocessing the defect reports, and applying a clustering algorithm, thereby grouping the defect reports. Another embodiment of the invention provides a computer-readable medium whose contents cause a computer to perform a method comprising: obtaining a plurality of defect reports; preprocessing the defect reports; and applying a clustering algorithm, thereby grouping the defect reports. Another aspect of the invention provides a system for grouping defect reports. The system includes: a preprocessing module, a representation module in communication with the preprocessing module, and a clustering module in communication with representation module.

    Abstract translation: 本发明的一个实施例提供了一种分组缺陷的方法。 该方法包括获取多个缺陷报告,预处理缺陷报告和应用聚类算法,从而对缺陷报告进行分组的步骤。 本发明的另一实施例提供了一种计算机可读介质,其内容使计算机执行一种方法,包括:获得多个缺陷报告; 预处理缺陷报告; 并应用聚类算法,从而对缺陷报告进行分组。 本发明的另一方面提供了一种用于分组缺陷报告的系统。 该系统包括:预处理模块,与预处理模块通信的表示模块,以及与表示模块通信的聚类模块。

    SPATIALLY-SELECTIVE REFLECTOR STRUCTURES, REFLECTOR DISKS, AND SYSTEMS AND METHODS FOR USE THEREOF
    9.
    发明申请
    SPATIALLY-SELECTIVE REFLECTOR STRUCTURES, REFLECTOR DISKS, AND SYSTEMS AND METHODS FOR USE THEREOF 审中-公开
    空间选择性反射器结构,反射器盘以及使用它们的系统和方法

    公开(公告)号:WO2010099328A3

    公开(公告)日:2010-10-21

    申请号:PCT/US2010025426

    申请日:2010-02-25

    Abstract: The invention provides a spatially- selective reflective structure for the detection of submillimeter electromagnetic waves and systems and methods incorporating spatially- selective reflective structures. One aspect of the invention provides a spatially- selective reflective structure including a partially-conducting slab and a modulating reflector disk adjacent to the partially-conducting slab. The modulating reflector disk includes a plurality of modulations. Another aspect of the invention provides a submillimeter imaging device including submillimeter wave optics, a spatially-selective reflective structure located in the focal plane of the submillimeter wave optics, a submillimeter wave receiver positioned to capture waves reflected from the spatially- selective reflective structure, and a motor configured to rotate the spatially-selective reflective structure. The spatially- selective reflective structure includes a partially-conducting slab and a modulating reflector disk adjacent to the partially-conducting slab. The modulating reflector plate includes one or more modulations.

    Abstract translation: 本发明提供了用于检测亚毫米级电磁波的空间选择性反射结构以及结合了空间选择性反射结构的系统和方法。 本发明的一个方面提供了一种空间选择性反射结构,其包括部分导电的平板和与该部分导电的平板相邻的调制反射器盘。 调制反射盘包括多个调制。 本发明的另一方面提供了一种亚毫米波成像设备,其包括亚毫米波光学器件,位于亚毫米波光学器件的焦平面中的空间选择性反射结构,被设置成捕获从空间选择性反射结构反射的波的亚毫米波接收器,以及 配置成旋转空间选择性反射结构的电动机。 空间选择性反射结构包括部分导电的平板和与该部分导电的平板相邻的调制反射器盘。 调制反射板包括一个或多个调制。

    METHODS OF IMPROVED LEARNING IN SIMULTANEOUS RECURRENT NEURAL NETWORKS
    10.
    发明申请
    METHODS OF IMPROVED LEARNING IN SIMULTANEOUS RECURRENT NEURAL NETWORKS 审中-公开
    同时重建神经网络中改进学习的方法

    公开(公告)号:WO2010042256A3

    公开(公告)日:2010-07-22

    申请号:PCT/US2009046036

    申请日:2009-06-02

    CPC classification number: G06N3/0454 G06N3/0445

    Abstract: Methods, computer-readable media, and systems are provided for machine learning in a simultaneous recurrent neural network. One embodiment of the invention provides a method including initializing one or more weight in the network, initializing parameters of an extended Kalman filter, setting a Jacobian matrix to an empty matrix, augmenting the Jacobian matrix for each of a plurality of training patterns, adjusting the one or more weights using the extended Kalman filter formulas, and calculating a network output for one or more testing patterns.

    Abstract translation: 方法,计算机可读介质和系统被提供用于并发神经网络中的机器学习。 本发明的一个实施例提供了一种方法,包括初始化网络中的一个或多个权重,初始化扩展卡尔曼滤波器的参数,将雅可比矩阵设置为空矩阵,为每个训练模式增加雅可比矩阵, 使用扩展卡尔曼滤波器公式的一个或多个权重,以及计算一个或多个测试模式的网络输出。

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