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公开(公告)号：US20130226830A1
公开(公告)日：2013-08-29
申请号：US13407623
申请日：2012-02-28
IPC分类号： G06Q40/06
CPC分类号： G06Q40/00
摘要： Transactional risk and return analysis systems provided herein include a transaction database and a market database. The transaction database includes data regarding transactions with associated attributes and the market database includes market data. A portfolio model uses such data to estimate a risk prediction for each transaction. A risk prediction model is generated based on the portfolio model and estimates a risk prediction for a prospective transaction, and a case cash flow analyzer produces a risk-breakeven spread. A transaction evaluator uses the risk prediction model and the risk-breakeven spread to calculated transaction risk and return data for a prospective transaction.
摘要翻译： 本文提供的交易风险和回报分析系统包括交易数据库和市场数据库。 交易数据库包括关于具有关联属性的交易的数据，并且市场数据库包括市场数据。 投资组合模型使用这些数据来估计每笔交易的风险预测。 基于投资组合模型生成风险预测模型，并估计潜在交易的风险预测，案例现金流量分析仪产生风险承受偏差。 交易评估者使用风险预测模型和风险 - 盈亏平衡差来计算交易风险和预期交易的回报数据。
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2.发明申请公开(公告)号：US20130290006A1
公开(公告)日：2013-10-31
申请号：US13459999
申请日：2012-04-30
申请人： Vidya Pundalik Kamath , Colin Craig McCulloch , Megan Rothney , Alberto Santamaria-Pang , Brion Daryl Sarachan
发明人： Vidya Pundalik Kamath , Colin Craig McCulloch , Megan Rothney , Alberto Santamaria-Pang , Brion Daryl Sarachan
IPC分类号： G06Q50/22
CPC分类号： G06F19/345 , G06Q50/22 , G16H50/20
摘要： Embodiments disclosed herein include methods, systems, and devices for determining a positive or negative correlation between a clinical outcome and one or more features of biological tissue. An exemplary user interface enables a user to select a clinical outcome and one or more aspects of a displayed field-of-view of biological tissue. Exemplary embodiments may automatically perform correlation analysis between the selected clinical outcome and one or more features characteristic of the user-selected aspects of the field-of-view of biological tissue. For example, exemplary embodiments may automatically perform correlation analysis between the selected clinical outcome and one or more features characteristic of one or more biological units in the biological tissue.
摘要翻译： 本文公开的实施方案包括用于确定临床结果与生物组织的一个或多个特征之间的正相关或负相关的方法，系统和装置。 示例性用户界面使得用户能够选择生物组织的显示视野的临床结果和一个或多个方面。 示例性实施例可以自动执行所选择的临床结果与生物组织的视野的用户选定方面特征的一个或多个特征之间的相关性分析。 例如，示例性实施例可以自动执行所选临床结果与生物组织中一个或多个生物单元特征的一个或多个特征之间的相关性分析。
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公开(公告)号：US20120271553A1
公开(公告)日：2012-10-25
申请号：US13252080
申请日：2011-10-03
IPC分类号： G06F19/10
CPC分类号： G06K9/00147 , G01N33/5091 , G01N33/57434 , G01N2800/52 , G01N2800/56 , G01N2800/60 , G06K9/6231
摘要： A data set of cell profile data is stored. The cell profile data includes multiplexed biometric image data describing the expression of a plurality of biomarkers. Cell profile data is generated from tissue samples drawn from a cohort of patients having an assessment related to the commonality. Multiple sets of clusters of similar cells are generated from the data set; the proportion of cells in each cluster is examined for an association with a diagnosis, a prognosis, or a response; and a predictive set of clusters is selected based on model performance. One predictive set of clusters is selected based on a comparison of the performance of at least one model of the plurality of sets of clusters. Display techniques that aid in understanding the characteristics of a cluster are disclosed.
摘要翻译： 存储小区简档数据的数据集。 细胞谱图数据包括描述多个生物标志物的表达的多重生物统计图像数据。 从具有与共性相关的评估的患者队列中抽取的组织样品产生细胞谱图数据。 从数据集中生成多组类似的单元; 检查每个组中细胞的比例与诊断，预后或反应的关联; 并基于模型性能选择一组预测集群。 基于多组聚类中的至少一个模型的性能的比较来选择一组预测集群。 公开了有助于理解集群特征的显示技术。
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公开(公告)号：US20120270752A1
公开(公告)日：2012-10-25
申请号：US13252069
申请日：2011-10-03
IPC分类号： G06F19/10 , C40B40/10 , G01N33/573
CPC分类号： G06K9/00147 , G01N33/5091 , G01N33/57434 , G01N2800/52 , G01N2800/56 , G01N2800/60 , G06K9/6231
摘要： Cell profile data is stored. The cell profile data comprises multiplexed biometric images capturing the expression of a plurality of biomarkers by at least one tissue sample from a patient with respect to at least one field of view. Individual cells are delineated and segmented into compartments. At least one cell feature is calculated based on the cell's expression of each of a plurality of biomarkers. A first moment is calculated for each cell feature. The moments are examined for an association with a diagnosis, a prognosis of a response to treatment of a condition or disease. Apparatus for performing the foregoing steps are disclosed.
摘要翻译： 存储单元格简档数据。 细胞分布数据包括相对于至少一个视场从患者至少一个组织样本捕获多个生物标志物的表达的多重生物统计图像。 单个细胞被描绘并分割成隔室。 基于多个生物标记中的每一个的细胞表达来计算至少一个细胞特征。 计算每个单元格特征的第一时刻。 检查时间与诊断的关联，对病症或疾病的治疗的反应的预后。 公开了用于执行上述步骤的装置。
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公开(公告)号：US09606518B2
公开(公告)日：2017-03-28
申请号：US13339153
申请日：2011-12-28
申请人： Scott Charles Evans , John Anderson Fergus Ross , Colin Craig McCulloch , Lang Tong , Peter Alan Gregg , John David Hilton, Jr. , Andrew Ferree , Joshua Benjamin Schoenstedt , Waseem Ibrahim Faidi
发明人： Scott Charles Evans , John Anderson Fergus Ross , Colin Craig McCulloch , Lang Tong , Peter Alan Gregg , John David Hilton, Jr. , Andrew Ferree , Joshua Benjamin Schoenstedt , Waseem Ibrahim Faidi
CPC分类号： G05B13/026
摘要： A control system for use with a plurality of wind turbines includes a processor and a memory device coupled to the processor. The memory device is configured to store a plurality of program modules that, when executed by the processor, configure the processor to receive data representative of a power generation of a first wind turbine of the plurality of wind turbines, and determine an expected power generation of a second wind turbine of the plurality of wind turbines based on the power generation of the first wind turbine.
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6.发明申请DETERMINATION OF SPATIAL PROXIMITY BETWEEN FEATURES OF INTEREST IN BIOLOGICAL TISSUE 有权确定生物组织利益特征之间的空间接近度公开(公告)号：US20140003702A1
公开(公告)日：2014-01-02
申请号：US13539187
申请日：2012-06-29
IPC分类号： G06K9/46
CPC分类号： G06T7/0012 , G06T2207/10056 , G06T2207/30024
摘要： Exemplary embodiments enable determination of spatial proximity between two or more features in biological tissue. An exemplary method includes identifying a morphological feature in an image of the biological tissue based on expression levels of a first biomarker indicative of the morphological feature, and receiving a result of a segmentation analysis performed on the image of the biological tissue identifying a set of morphological units in the image external to the morphological feature. An exemplary method includes determining an expression level of a second biomarker corresponding to each unit in the set of morphological units in the image of the biological tissue, and determining a spatial distance between the morphological feature and each unit in the set of morphological units. An exemplary method further includes automatically determining a relationship between expression levels of the second biomarker and corresponding spatial distance from the morphological feature of the set of morphological units.
摘要翻译： 示例性实施例使得能够确定生物组织中两个或更多个特征之间的空间接近度。 一种示例性方法包括基于指示形态学特征的第一生物标志物的表达水平鉴定生物组织的图像中的形态学特征，以及接收对生物组织的图像执行的识别一组形态学的分割结果的结果 图像中的单位在形态特征之外。 一种示例性方法包括确定与生物组织的图像中的形态单元组中的每个单元相对应的第二生物标志物的表达水平，以及确定该形态单位组中的形态特征与每个单位之间的空间距离。 一种示例性方法还包括自动确定第二生物标志物的表达水平与相应的空间距离之间的关系，与该组形态学单元的形态学特征。
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公开(公告)号：US20120101644A1
公开(公告)日：2012-04-26
申请号：US13339153
申请日：2011-12-28
申请人： Scott Charles Evans , John Anderson Fergus Ross , Colin Craig McCulloch , Lang Tong , Peter Alan Gregg , John David Hilton, JR. , Andrew Ferree , Joshua Benjamin Schoenstedt , Waseem Ibrahim Faidi
发明人： Scott Charles Evans , John Anderson Fergus Ross , Colin Craig McCulloch , Lang Tong , Peter Alan Gregg , John David Hilton, JR. , Andrew Ferree , Joshua Benjamin Schoenstedt , Waseem Ibrahim Faidi
CPC分类号： G05B13/026
摘要： A control system for use with a plurality of wind turbines includes a processor and a memory device coupled to the processor. The memory device is configured to store a plurality of program modules that, when executed by the processor, configure the processor to receive data representative of a power generation of a first wind turbine of the plurality of wind turbines, and determine an expected power generation of a second wind turbine of the plurality of wind turbines based on the power generation of the first wind turbine.
摘要翻译： 用于多个风力涡轮机的控制系统包括处理器和耦合到处理器的存储器件。 存储器设备被配置为存储多个程序模块，所述多个程序模块在被处理器执行时配置处理器以接收代表多个风力涡轮机中的第一风力涡轮机的发电的数据，并且确定预期的发电 基于第一风力涡轮机的发电的多个风力涡轮机的第二风力涡轮机。
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8.发明授权公开(公告)号：US08141416B2
公开(公告)日：2012-03-27
申请号：US12895521
申请日：2010-09-30
申请人： Vineel Chandrakanth Gujjar , Colin Craig McCulloch , Philippe Giguere , Abhishek Kumar Srivastava , Angshuman Saha , Pameet Singh
发明人： Vineel Chandrakanth Gujjar , Colin Craig McCulloch , Philippe Giguere , Abhishek Kumar Srivastava , Angshuman Saha , Pameet Singh
CPC分类号： G06Q10/00 , F03D17/00 , H02J3/386 , Y02E10/763
摘要： The present disclosure relates to an approach by which low-performing turbines may be identified from among a plurality of wind turbines, such as may be present at a wind power plant. In accordance with one embodiment, low-performing turbines are identified from among pairs of turbines and based upon a comparison of the observed and expected performance of the turbines within each pair.
摘要翻译： 本公开涉及一种可以从多个风力涡轮机中识别低性能涡轮机的方法，例如可能存在于风力发电厂。 根据一个实施例，从成对的涡轮机中识别低性能涡轮机，并且基于每对中的涡轮机的观测和预期性能的比较。
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9.发明授权Determination of spatial proximity between features of interest in biological tissue 有权确定生物组织中感兴趣的特征之间的空间接近度公开(公告)号：US08873827B2
公开(公告)日：2014-10-28
申请号：US13539187
申请日：2012-06-29
IPC分类号： G06K9/00
CPC分类号： G06T7/0012 , G06T2207/10056 , G06T2207/30024
摘要： Exemplary embodiments enable determination of spatial proximity between two or more features in biological tissue. An exemplary method includes identifying a morphological feature in an image of the biological tissue based on expression levels of a first biomarker indicative of the morphological feature, and receiving a result of a segmentation analysis performed on the image of the biological tissue identifying a set of morphological units in the image external to the morphological feature. An exemplary method includes determining an expression level of a second biomarker corresponding to each unit in the set of morphological units in the image of the biological tissue, and determining a spatial distance between the morphological feature and each unit in the set of morphological units. An exemplary method further includes automatically determining a relationship between expression levels of the second biomarker and corresponding spatial distance from the morphological feature of the set of morphological units.
摘要翻译： 示例性实施例使得能够确定生物组织中两个或更多个特征之间的空间接近度。 一种示例性方法包括基于指示形态学特征的第一生物标志物的表达水平鉴定生物组织的图像中的形态学特征，以及接收对生物组织的图像执行的识别一组形态学的分割结果的结果 图像中的单位在形态特征之外。 一种示例性方法包括确定与生物组织的图像中的形态单元组中的每个单元相对应的第二生物标志物的表达水平，以及确定该形态单位组中的形态特征与每个单位之间的空间距离。 一种示例性方法还包括自动确定第二生物标志物的表达水平与相应的空间距离之间的关系，与该组形态学单元的形态学特征。
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公开(公告)号：US20120269419A1
公开(公告)日：2012-10-25
申请号：US13252078
申请日：2011-10-03
IPC分类号： G06K9/00
CPC分类号： G06K9/00147 , G01N33/5091 , G01N33/57434 , G01N2800/52 , G01N2800/56 , G01N2800/60 , G06K9/6231
摘要： A stored data set comprises cell profile data including multiplexed biometric image data describing the expression of biomarkers. The data set includes an association of the cell profile data with a field of view level or a patient-level assessment. Cell features are calculated based on the cell's expression of each of the biomarkers. Moments of cell features are calculated from the data set, and combinations are examined for an association with an assessment. A predictive set of moments is selected based on the performance of the combination.
摘要翻译： 存储的数据集包括细胞轮廓数据，包括描述生物标志物的表达的复制的生物统计图像数据。 数据集包括细胞概况数据与视野级别或患者级评估的关联。 基于每个生物标志物的细胞表达计算细胞特征。 从数据集计算细胞特征的时刻，并检查组合与评估的关联。 基于组合的性能选择一组预测的时刻。
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