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公开(公告)号：US20180330064A1
公开(公告)日：2018-11-15
申请号：US15775929
申请日：2016-10-05
Inventor： Moon Jin LEE , Sang Woo OH , Ho-Jin HWANG
CPC classification number: G06F19/707 , G01C13/00 , G01K13/00 , G01P5/00 , G01P13/02 , G01W1/00 , G06Q50/26
Abstract: The present invention relates to an apparatus and a method for predicting the dispersion of hazardous and noxious substances and, more specifically, provides an apparatus and a method for predicting the dispersion of hazardous and noxious substances, the method: checking the components of the hazardous and noxious substances having leaked into the ocean, so as to classify the hazardous and noxious substances into a corresponding classification set among twelve classification sets by means of at least one of vapor pressure, the degradation in water, or density; dividing the classification sets, in which the hazardous and noxious substances are classified, into one dispersion model among an air dispersion model, a seawater dispersion model, and an air/seawater dispersion model according to the dispersion characteristics thereof; acquiring, from a weather center server, the state information of a sea area, which is set to be different according to the divided dispersion models; and predicting a danger radius for the dispersion of the hazardous and noxious substances by using the acquired state information of the sea area, and outputting the same.
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公开(公告)号：US09810673B1
公开(公告)日：2017-11-07
申请号：US15491336
申请日：2017-04-19
Applicant: James Ehleringer , Lesley Chesson , Rozann Dunn , Joshua Ehleringer , Patrick Shea , Brett Tipple
Inventor： James Ehleringer , Lesley Chesson , Rozann Dunn , Joshua Ehleringer , Patrick Shea , Brett Tipple
IPC: G06F17/00 , G06F17/10 , G06F19/00 , G01N33/00 , G01N33/15 , C12M1/34 , G01N33/18 , G01N30/88 , G01N33/94
CPC classification number: G01N33/0098 , G01N33/0036 , G01N33/0047 , G01N33/1846 , G01N33/5097 , G01N33/948 , G01N2333/415 , G01N2458/15 , G01N2560/00 , G06F19/707
Abstract: Systems and methods are disclosed to determine that a cannabis plant has been cultivated under desired cultivation conditions. Quantitative processes are disclosed, based on stable carbon isotope ratio analysis, and using modeling constraints and Bayesian approaches to produce a likelihood that a cannabis plant was cultivated under desired conditions (e.g., indoors), and provide a quantitative estimate of the average CO2 concentration in the growth environment.
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公开(公告)号：US09792416B2
公开(公告)日：2017-10-17
申请号：US13252731
申请日：2011-10-04
Applicant: Gerd Heinje , Rainer Jaeger
Inventor： Gerd Heinje , Rainer Jaeger
CPC classification number: G06F19/707 , G06F19/708 , G06T11/206
Abstract: A device for analyzing measurement data having a plurality of data sets, each data set being assigned to a respective one of a plurality of measurements, each data set having multiple features being indicative of different fractions of a fluidic sample, the device comprising a cluster determining unit configured for determining feature clusters by clustering features from different data sets presumably relating to the same fraction, a spread determining unit configured for determining for at least a part of the feature clusters a spread of the features within a respective feature cluster, and a display unit configured for displaying at least the part of the feature clusters together with a graphical indication of the corresponding spread.
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4.发明授权Method and system for exploring the associations between drug side-effects and therapeutic indications 有权探讨药物副作用与治疗适应症之间关联的方法和系统公开(公告)号：US09536194B2
公开(公告)日：2017-01-03
申请号：US13971072
申请日：2013-08-20
Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor： Nan Cao , Jianying Hu , Robert K. Sorrentino , Fei Wang , Ping Zhang
CPC classification number: G06F19/704 , G06F19/707 , G06F19/708 , G06N5/02 , G06N5/022
Abstract: A system and method for analyzing chemical data including a processor and one or more classifiers, stored in memory and coupled to the processor, which further includes an indication predictive module configured to predict whether a given chemical treats a particular indication or not and a side effect predictive module configured to predict whether a given chemical causes a side-effect or not. A correlation engine is configured to determine one or more correlations between one or more indications and one or more side effects for the given chemical and a visualization tool is configured to analyze the one or more correlations and to output results of the analysis.
Abstract translation: 一种用于分析化学数据的系统和方法，包括存储在存储器中并耦合到处理器的处理器和一个或多个分类器，其进一步包括指示预测模块，其被配置为预测给定化学品是否处理特定指示和副作用 预测模块被配置为预测给定化学品是否导致副作用。 相关引擎被配置为确定一个或多个指示与给定化学品的一个或多个副作用之间的一个或多个相关性，并且可视化工具被配置为分析一个或多个相关性并输出分析结果。
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公开(公告)号：US09372962B2
公开(公告)日：2016-06-21
申请号：US14658341
申请日：2015-03-16
Applicant: The Regents of the University of California
CPC classification number: G06F19/707 , G06F19/12 , G06F19/18 , G06N5/02 , G06N7/005 , G06N99/005
Abstract: Certain embodiments of the invention may include systems and methods for identifying drug targets using biological networks. According to an example embodiment of the invention, a method is provided for predicting the effects of drug targets on treating a disease. The method can include constructing a structure of a Bayesian network based at least in part on knowledge of drug inhibiting effects on a disease; associating a set of parameters with the constructed Bayesian network; determining values of a joint probability distribution of the Bayesian network via an automatic procedure; deriving a mean Bayesian network with one or more averaged parameters based at least in part on the joint probability values; and calculating a quantitative prediction based at least in part on the mean Bayesian network.
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Patent Agency Ranking
公开(公告)号：US09367812B2
公开(公告)日：2016-06-14
申请号：US13261542
申请日：2010-08-25
Applicant: Matthew Segall , Tatsunori Hashimoto
Inventor： Matthew Segall , Tatsunori Hashimoto
CPC classification number: G06N99/005 , G06F19/704 , G06F19/706 , G06F19/707
Abstract: Methods and systems for determining the selection criteria that in its embodiments can distinguish compounds that successfully meet an objective from those that do not, determine the importance of selection criterion in selecting test compounds that have a high probability of achieving an objective and automatically apply the selection criteria to select test compounds with a high chance of meeting an objective.
Abstract translation: 用于确定选择标准的方法和系统，在其实施方案中可以将成功满足目标的化合物与不能确定选择标准在选择具有高概率实现目标的测试化合物中并且自动应用选择的重要性 选择具有很高机会达到目标的化合物的标准。
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公开(公告)号：US09317664B2
公开(公告)日：2016-04-19
申请号：US10966041
申请日：2004-10-14
Applicant: Sachin Ahuja , David Kita , Eniko Fodor , Adityo Prakash
Inventor： Sachin Ahuja , David Kita , Eniko Fodor , Adityo Prakash
IPC: G01N33/48 , G01N33/50 , G06F19/00 , G06F19/24 , G06F19/26 , G06F19/28 , G01N33/68 , G06F19/16 , C40B30/02 , G06F19/18
CPC classification number: G06F19/701 , C40B30/02 , G01N33/6803 , G06F19/16 , G06F19/18 , G06F19/24 , G06F19/26 , G06F19/28 , G06F19/706 , G06F19/707
Abstract: A method for partitioning a molecular subset is described. The partitioning method takes into account molecular structure and its manner of storage and transmission, transformations to be applied to the molecular subset and their implementation, and constraints imposed by the implementation of the partitioning method. Using this method, a molecular subset can be stored, transmitted, and processed more efficiently. The resulting efficiency makes it possible to design and run applications which require complex molecular processing, such as rational drug discovery, virtual library design, etc.
Abstract translation: 描述了用于分割分子子集的方法。 分割方法考虑了分子结构及其存储和传输方式，应用于分子子集的变换及其实现，以及实施分区方法所施加的约束。 使用这种方法，可以更有效地存储，传输和处理分子子集。 所产生的效率使得可以设计和运行需要复杂的分子处理的应用，例如合理的药物发现，虚拟图书馆设计等。
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8.发明申请公开(公告)号：US20150254434A1
公开(公告)日：2015-09-10
申请号：US14658341
申请日：2015-03-16
Applicant: The Regents of the University of California
CPC classification number: G06F19/707 , G06F19/12 , G06F19/18 , G06N5/02 , G06N7/005 , G06N99/005
Abstract: Certain embodiments of the invention may include systems and methods for identifying drug targets using biological networks. According to an example embodiment of the invention, a method is provided for predicting the effects of drug targets on treating a disease. The method can include constructing a structure of a Bayesian network based at least in part on knowledge of drug inhibiting effects on a disease; associating a set of parameters with the constructed Bayesian network; determining values of a joint probability distribution of the Bayesian network via an automatic procedure; deriving a mean Bayesian network with one or more averaged parameters based at least in part on the joint probability values; and calculating a quantitative prediction based at least in part on the mean Bayesian network.
Abstract translation: 本发明的某些实施方案可以包括使用生物网络鉴定药物靶标的系统和方法。 根据本发明的示例性实施方案，提供了一种用于预测药物靶标对治疗疾病的影响的方法。 该方法可以包括至少部分地基于对疾病的药物抑制作用的知识来构建贝叶斯网络的结构; 将一组参数与构建的贝叶斯网络相关联; 通过自动程序确定贝叶斯网络的联合概率分布的值; 至少部分地基于联合概率值，得到具有一个或多个平均参数的平均贝叶斯网络; 并且至少部分地基于平均贝叶斯网络来计算定量预测。
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公开(公告)号：US09129084B2
公开(公告)日：2015-09-08
申请号：US13155230
申请日：2011-06-07
Applicant: Victor Gogolak
Inventor： Victor Gogolak
CPC classification number: G06F19/704 , G06F19/707 , G06N5/04 , Y10S706/924 , Y10S707/99933
Abstract: A method for analyzing adverse effects resulting from the use of a substance of interest, including identifying a substance of interest; selecting from multiple profiles related to the safety of the substance of interest, using at least one filter; at least one data mining engine; and an output device for displaying the analytic results from the data mining engine. The data mining engine is selected from (1) a proportional analysis engine; (2) a comparator, and (3) a correlator; whereby a user can receive analytic results from the selector, the proportional analysis engine, the comparator, and the correlator.
Abstract translation: 一种分析使用感兴趣物质导致的不良反应的方法，包括确定感兴趣的物质; 使用至少一个过滤器从与感兴趣物质的安全性相关的多个简档中进行选择; 至少一个数据挖掘引擎; 以及用于显示来自数据挖掘引擎的分析结果的输出设备。 数据挖掘引擎选自（1）比例分析引擎; （2）比较器，和（3）相关器; 由此用户可以从选择器，比例分析引擎，比较器和相关器接收分析结果。
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公开(公告)号：US20150223458A1
公开(公告)日：2015-08-13
申请号：US14540908
申请日：2014-11-13
Applicant: The Regents of the University of California
Inventor： Anandasankar RAY , Sean Michael BOYLE
CPC classification number: A01N43/60 , A01M1/02 , A01M1/10 , A01M1/106 , A01M1/145 , A01M1/2011 , A01M1/223 , A01N33/00 , A01N61/00 , A23L27/10 , G06F19/704 , G06F19/706 , G06F19/707
Abstract: The disclosure provides compounds useful as insect repellents and compositions comprising such repellents. The disclosure further provides insect traps and method for identifying ligands and cognates for biological molecules.
Abstract translation: 本公开提供了可用作驱虫剂的化合物和包含该驱虫剂的组合物。 本公开进一步提供用于识别生物分子的配体和同源物的昆虫陷阱和方法。
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