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    • 94. 发明申请
    • Methods and compositions for enhancing the bioadhesive properties of polymers using organic excipients
    • 使用有机赋形剂增强聚合物生物粘合性能的方法和组合物
    • US20030077317A1
    • 2003-04-24
    • US10146184
    • 2002-05-15
    • Brown University Research Foundation
    • Camilla A. SantosJules S. JacobBenjamin A. HertzogGerardo P. CarinoEdith Mathiowitz
    • A61K031/74A61L015/16
    • B82Y5/00A61K9/1641A61K9/1647A61K9/167A61K9/5153A61K31/165
    • Methods and compositions are provided for enhancing the bioadhesive properties of polymers used in drug delivery systems. The bioadhesive properties of a base polymer are enhanced by incorporating a short chain polymer with one or more free carboxylic groups into the base polymer to enhance the ability of the base polymer to adhere to a tissue surface such as a mucosal membrane. The short chain polymers can be incorporated within a wide range of base polymers including proteins, polysaccharides and synthetic biocompatible polymers. In one embodiment, short chain polymers can be incorporated within base polymers used to form or coat drug delivery systems, such as microspheres, which contain a drug or diagnostic agent. The short chain polymers can either be solubilized and blended with the base polymer before manufacture or else used as a coating with base polymers over existing systems. The base polymers, for example in the form of microspheres, have improved ability to adhere to mucosal membranes, and thus can be used to deliver a drug or diagnostic agent via any of a range of mucosal membrane surfaces including those of the gastrointestinal, respiratory, excretory and reproductive tracts.
    • 提供了用于增强药物递送系统中使用的聚合物的生物粘合性质的方法和组合物。 通过将具有一个或多个游离羧基的短链聚合物引入基础聚合物来增强基础聚合物的生物粘合性能,以增强基础聚合物粘附到组织表面如粘膜上的能力。 短链聚合物可以掺入到宽范围的基础聚合物中,包括蛋白质,多糖和合成的生物相容性聚合物。 在一个实施方案中,短链聚合物可以掺入用于形成或涂覆药物递送系统的基础聚合物,例如含有药物或诊断剂的微球体。 短链聚合物可以在制造前溶解并与基础聚合物共混,或者用作在现有体系上具有基础聚合物的涂层。 基质聚合物,例如微球形式,具有改善粘附于粘膜的能力,因此可用于通过任何一种粘膜膜表面递送药物或诊断剂,包括胃肠道,呼吸道, 排泄和生殖道。
    • 96. 发明申请
    • Method, apparatus and computer program product for the interactive rendering of multivalued volume data with layered complementary values
    • 用于交互式渲染具有分层互补值的多值体数据的方法,装置和计算机程序产品
    • US20030234781A1
    • 2003-12-25
    • US10431130
    • 2003-05-06
    • Brown university Research Foundation
    • David H. LaidlawAndreas Wenger
    • G06T015/00
    • G06T15/08
    • Described is a system, method and computer program product for rendering volumetric multivalued primary data. The system includes a rendering engine having an input coupled to a source of multivalued primary data and an output coupled to a display. The rendering engine includes a data processor for calculating additional data values from the primary data, deriving at least one visual representation from the primary data and the additional data values, and mapping the derived visual representation through transfer functions to hardware primitives for volumetrically rendering the derived visual representation to provide a visualization. The system further includes a user interface for interacting with the visualization. The source of primary data can be a magnetic resonance imaging system, and the primary data may be a multivalued combination obtained from T1 weighted data, T2 weighted data, diffusion data, velocity data, magnetization transfer data, perfusion data, data derived from other imaging modalities (e.g., PET), and simulation data. The primary data can be diffusion tensor data generated by the MRI system from tissue, and the data processor operates to identify directed diffusion paths and to render the directed diffusion paths as thread-like structures. Indications of at least flowing blood velocity and vorticity can also be rendered from MRI data or from simulations.
    • 描述了一种用于渲染体积多值主数据的系统,方法和计算机程序产品。 该系统包括渲染引擎,其具有耦合到多值主数据源的输入和耦合到显示器的输出。 呈现引擎包括用于从主数据计算附加数据值的数据处理器,从主数据和附加数据值导出至少一个视觉表示,并且通过传递函数将导出的视觉表示映射到硬件基元,用于体积地渲染所导出的 视觉表示来提供可视化。 系统还包括用于与可视化进行交互的用户界面。 主要数据源可以是磁共振成像系统,主要数据可以是从T1加权数据,T2加权数据,扩散数据,速度数据,磁化传递数据,灌注数据,从其他成像得到的数据获得的多值组合 模式(例如PET)和模拟数据。 主要数据可以是由MRI系统从组织产生的扩散张量数据,并且数据处理器操作以识别定向扩散路径并将定向扩散路径呈现为线状结构。 至少流动的血液速度和涡度的指示也可以从MRI数据或模拟中得到。
    • 97. 发明申请
    • Optical method for the determination of grain orientation in films
    • 用于测定薄膜晶粒取向的光学方法
    • US20020054295A1
    • 2002-05-09
    • US10012985
    • 2001-11-05
    • Brown University Research Foundation
    • Humphrey J. Maris
    • G01B011/02
    • G01N21/8422H01L22/12
    • A method for the determination of grain orientation in a film sample is provided comprising the steps of measuring a first transient optical response of the film and determining the contribution to the transient optical response arising from a change in the energy distribution of the electrons in the sample, determining the contribution to the transient optical response arising from a propagating strain pulse within the sample, and determining the contribution to the transient optical response arising from a change in sample temperature of the sample. The grain orientation of the sample may be determined using the contributions to the transient optical response arising from the change in the energy distribution of the electrons, the propagating strain pulse, and the change in sample temperature. Additionally, a method for determination of the thickness of a film sample is provided. The grain orientation of the sample is first determined. The grain orientation, together with the velocity of sound and a propagation time of a strain pulse through the sample are then used to determine the thickness of the film sample.
    • 提供了一种用于确定膜样品中的晶粒取向的方法,包括以下步骤:测量薄膜的第一瞬态光学响应并确定由于样品中的电子的能量分布的变化引起的瞬态光学响应的​​贡献 确定对由样品内的传播应变脉冲引起的瞬态光学响应的​​贡献,以及确定由于样品的样品温度变化引起的瞬态光学响应的​​贡献。 可以使用由电子的能量分布的变化,传播的应变脉冲和样品温度的变化引起的瞬态光学响应的​​贡献来确定样品的晶粒取向。 另外,提供了用于确定膜样品的厚度的方法。 首先确定样品的晶粒取向。 然后使用晶粒取向以及通过样品的应变脉冲的声速和传播时间来确定膜样品的厚度。
    • 100. 发明申请
    • Method and system for inferring hand motion from multi-cell recordings in the motor cortex using a kalman filter or a bayesian model
    • 使用卡尔曼滤波器或贝叶斯模型从运动皮质中的多细胞记录推断手运动的方法和系统
    • US20040073414A1
    • 2004-04-15
    • US10455509
    • 2003-06-04
    • Brown University Research Foundation
    • Lucien J.E. BienenstockMichael J. BlackWei WuYun Gao
    • G06F017/10
    • G06F3/015
    • A method and system to decode neural activity in the motor cortex to infer at least the position and velocity of a subject's hand from neural spiking activity of some number of nerve cells. In one embodiment the method includes simultaneously recording electrical activity of the nerve cells in the primary motor cortex to obtain neural data; and modeling the encoding and decoding of the neural data using a Kalman filter, where a measurement model assumes a cell firing rate to be a stochastic linear function of at least the position and velocity of the hand, and where the measurement model is learned from training data in conjunction with a system model that encodes a manner in which the hand moves. In another embodiment the method includes using the neural data to generate training data of neural firing activity conditioned on hand kinematics; learning a non-parametric representation of the firing activity using a Bayesian model; inferring an a posterior probability distribution over hand motion, conditioned on the neural training data using Bayesian inference; defining a non-Gaussian likelihood term that is combined with a prior probability for the kinematics based on learned firing models of multiple nerve cells; and using a particle filtering method is to represent, update, and propagate the posterior distribution over time.
    • 一种解决运动皮层神经活动的方法和系统,至少推断受试者的手从一些神经细胞的神经刺激活动的位置和速度。 在一个实施方案中,该方法包括同时记录神经细胞在主运动皮层中的电活动以获得神经数据; 并且使用卡尔曼滤波器对神经数据的编码和解码进行建模,其中测量模型假定小区发射速率至少是手的位置和速度的随机线性函数,并且其中从训练中学习测量模型 数据结合编码手移动方式的系统模型。 在另一个实施例中,该方法包括使用神经数据来产生以手运动学为条件的神经发射活动的训练数据; 使用贝叶斯模型学习射击活动的非参数表示; 推导使用贝叶斯推理的神经训练数据的手部运动后验概率分布; 基于多个神经细胞的学习的发射模型定义与运动学的先验概率相结合的非高斯似然项; 并且使用粒子滤波方法是表示,更新和传播随时间的后验分布。