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1. 发明申请

US20040260526A1 Uncertainty propagation system and method 失效
标题翻译：不确定传播系统和方法
公开(公告)号：US20040260526A1
公开(公告)日：2004-12-23
申请号：US10479676
申请日：2004-07-15
发明人： Blair Durham Hall , Robin Daniel Willink
IPC分类号： G06G007/48 , G06G007/58
CPC分类号： G06F17/18 , G01R22/00
摘要： The invention provides a method of calculating uncertainty in the system represented as two or more modules comprising the steps of passing uncertainty information from each module to at least one further module; and calculating uncertainty in the measurement result from the information exchanged between the modules. The invention also provides a method of propagating uncertainty in a measurement system and also provides related systems for calculating uncertainty and propagating uncertainty.
摘要翻译：本发明提供了一种计算系统中不确定性的方法，其表示为两个或多个模块，包括以下步骤：将不确定性信息从每个模块传递到至少一个另外的模块; 并从模块之间交换的信息计算测量结果的不确定性。本发明还提供了在测量系统中传播不确定性的方法，并且还提供用于计算不确定性和传播不确定性的相关系统。

2. 发明申请

US20040230545A1 Method and apparatus for producing three dimensional shapes 有权
标题翻译：用于生产三维形状的方法和装置
公开(公告)号：US20040230545A1
公开(公告)日：2004-11-18
申请号：US10753012
申请日：2004-01-07
申请人： CRANIAL TECHNOLOGIES, INC.
发明人： Timothy R. Littlefield , Jeanne K. Pomatto , George E. Kechter
IPC分类号： G06F015/18 , G06G007/00 , G06E003/00 , G06E001/00 , G06G007/58 , G06G007/48
CPC分类号： G06T1/0007 , G06N3/02 , G06T7/50 , G06T17/10 , G06T2207/30004 , G06T2210/41
摘要： A method and system for automatically producing data representative of a modified head shape from data representative of a deformed head is provided. The method includes a step of processing captured data for the deformed head utilizing Principal Component Analysis (PCA) to generate PCA data representative of the deformed head. The method also includes the steps of providing the PCA data as input to a neural network; and utilizing the neural network to process the PCA data to provide data representative of a corresponding modified head shape.
摘要翻译：提供了一种方法和系统，用于根据表示变形头部的数据自动生成代表修改的头部形状的数据。该方法包括利用主成分分析（PCA）处理变形头部的捕获数据以产生代表变形头部的PCA数据的步骤。该方法还包括以下步骤：将PCA数据提供给神经网络的输入; 并利用神经网络处理PCA数据以提供表示对应的修改的头部形状的数据。

3. 发明申请

US20040214206A1 Method of designing multifunctional base sequence 失效
标题翻译：多功能碱基序列设计方法
公开(公告)号：US20040214206A1
公开(公告)日：2004-10-28
申请号：US10746036
申请日：2003-12-29
申请人： Fujitsu Limited , Kiyotaka SHIBA
发明人： Yoko Satou , Masato Kitajima , Kiyotaka Shiba
IPC分类号： C12Q001/68 , G06G007/48 , G06G007/58
CPC分类号： C12N15/1034 , C07K7/08
摘要： To provide a method of designing a multifunctional base sequence which can largely shorten the calculation time and reduce the volume of memory consumption of a processor by carrying out calculation with the advance exclusion of base sequences in which translation termination codons are emerged in the second and third reading frames which are to be excluded in the end. Focusing on the fact that a dipeptide sequence already contains information about the translation products of the second and third reading frames, proteins are analyzed and calculated as duplicated connective products of dipeptide sequences, and not analyzed as connective products of 20 kinds of amino acids. In nullLeu-Sernull case, for example, calculation may only be performed hereafter for 6null6null10null26 variants that do not contain termination codons in the second and third reading frames (FIG. 1). Further, in the case of nullLeu-Ser-Argnull sequence, by selecting the combinations having the same codon for serine from 26 variants of nullLeu-Sernull 6-mer codons and from 32 variants of nullSer-Argnull 6-mer codons, and connecting them, from now on, calculation would be performed only for 142 variants out of 218 variants, and connected.
摘要翻译：提供一种设计多功能碱基序列的方法，其可以大大缩短计算时间并减少处理器的存储器消耗量，方法是通过预先排除其中翻译终止密码出现在第二和第三位的碱基序列的计算阅读最后要排除的框架。针对二肽序列已经包含关于第二和第三阅读框的翻译产物的信息的事实，蛋白质被分析和计算为二肽序列的重复连接产物，并且不作为20种氨基酸的连接产物进行分析。在“Leu-Ser”情况下，例如，以下仅对第二和第三读取框中不包含终止密码子的6×6-10 = 26个变体进行计算（<交叉参考目标=“图”）。 1 ）。此外，在“Leu-Ser-Arg”序列的情况下，通过从“Leu-Ser”6聚体密码子的26个变体和32个“Ser-Arg”-6-变体的选择丝氨酸的相同密码子的组合， mer密码子，并连接它们，从现在开始，仅对218种变体中的142种变体进行计算，并连接。

4. 发明申请

US20040142404A1 Protein kinase signalling 审中-公开
标题翻译：蛋白激酶信号
公开(公告)号：US20040142404A1
公开(公告)日：2004-07-22
申请号：US10470957
申请日：2004-01-21
发明人： Andrew Frederick Wilks , Julie Atkin , Emmanuelle Fantino
IPC分类号： G06G007/48 , G06G007/58 , C12Q001/48 , C12P021/06
CPC分类号： C12N9/1205 , A61K38/00 , C07K14/71 , C12Q1/485 , G01N2333/9121 , G01N2500/00
摘要： The present invention provides a method of selecting or designing a compound for the ability to regulate JAK activity. The method comprises assessing the ability of the compound to modulate the interaction of the pseudo-substrate loop (PSL) with the kinase like domaain (KLD) of JAK. In addition the present invention provides compounds which inhibit JAK and methods of treatment of JAK-associated disease states.
摘要翻译：本发明提供了选择或设计化合物以调节JAK活性的能力的方法。该方法包括评估化合物调节伪底物环（PSL）与JAK的激酶样domaain（KLD）的相互作用的能力。此外，本发明提供抑制JAK的化合物和治疗JAK相关疾病状态的方法。

5. 发明申请

US20040073417A1 Orthodontic treatment planning with user-specified simulation of tooth movement 有权
标题翻译：牙齿矫正治疗计划用户指定的牙齿运动模拟
公开(公告)号：US20040073417A1
公开(公告)日：2004-04-15
申请号：US10684252
申请日：2003-10-09
申请人： OraMetrix, Inc.
发明人： Rudger Rubbert , Thomas Weise , Rohit Sachdeva , Hans Imgrund , Peer Sporbert , Mario Leichner , Jens Troeger , Dimitrij Kouzian , Stephan Maetzel
IPC分类号： G06G007/58 , G06G007/48 , A61B005/00
CPC分类号： A61C7/00 , A61C7/002 , A61C7/146 , A61C9/006 , A61C13/0004 , A61F2002/30953 , B33Y80/00 , G06F19/00
摘要： An interactive, software-based treatment planning method to correct a malocclusion is described. The method can be performed on an orthodontic workstation in a clinic or at a remote location such as a lab or precision appliance manufacturing center. The workstation stores a virtual three-dimensional model of the dentition of a patient and patient records. The virtual model is manipulated by the user to define a target situation for the patient, including a target archform and individual tooth positions in the archform. Parameters for an orthodontic appliance, such as the location of orthodontic brackets and resulting shape of an orthodontic archwire, are obtained from the simulation of tooth movement to the target situation and the placement position of virtual brackets. The treatment planning can also be executed remotely by a precision appliance service center having access to the virtual model of the dentition. In the latter situation, the proposed treatment plan is sent to the clinic for review, and modification or approval by the orthodontist. The method is suitable for other orthodontic appliance systems, including removable appliances such as transparent aligning trays.
摘要翻译：描述了一种基于软件的交互式治疗计划方法来纠正咬合错位。该方法可以在诊所或远程位置的实验室或精密器具制造中心的正畸工作站上进行。工作站存储患者和患者记录的牙列的虚拟三维模型。虚拟模型由用户操纵以定义患者的目标情况，包括目标archform和archform中的单个牙齿位置。矫正器具的参数，例如正畸托架的位置和正畸弓丝的形状，可以从牙齿运动模拟到目标情况和虚拟支架的放置位置获得。治疗计划也可以由能够访问牙列的虚拟模型的精密设备服务中心远程执行。在后一种情况下，拟议的治疗计划被送到诊所进行审查，并由正牙医生修改或批准。该方法适用于其他矫正设备系统，包括可移动电器，如透明对齐托盘。

6. 发明申请

US20040073376A1 Finding active antisense oligonucleotides using artificial neural networks 审中-公开
标题翻译：使用人工神经网络寻找活性的反义寡核苷酸
公开(公告)号：US20040073376A1
公开(公告)日：2004-04-15
申请号：US10050888
申请日：2002-01-14
申请人： University of Utah Research Foundation
发明人： Raymond F. Gesteland , John F. Atkins , Olga V. Matveeva , Michael C. Giddings
IPC分类号： G06G007/48 , G06G007/58 , G06F019/00 , G01N033/48 , G01N033/50
CPC分类号： G16B40/00 , G16B20/00 , G16B30/00
摘要： An artificial neural network system for analyzing sequence motif content for prediction of antisense oligonucleotide-target activity is disclosed. The system was developed for high specificity predictions, with cross-validation used to rigorously test against the database that was used in the development of the system. The system is able to choose effective oligonucleotides leading to >75% reduction in RNA target expression with >55% accuracy. This is in contrast to
摘要翻译：公开了用于分析用于预测反义寡核苷酸 - 靶活性的序列基序内容的人造神经网络系统。该系统是针对高特异性预测开发的，交叉验证用于严格测试系统开发中使用的数据库。该系统能够选择有效的寡核苷酸，导致RNA靶标表达降低> 75％，精确度> 55％。这与试错误寡核苷酸选择的<10％成功率相反。因此，该程序提供了在体内筛选的寡核苷酸数量减少五倍以找到有效靶标。

7. 发明申请

US20040064298A1 Medical instruction using a virtual patient 审中-公开
标题翻译：使用虚拟病人的医疗指示
公开(公告)号：US20040064298A1
公开(公告)日：2004-04-01
申请号：US10673743
申请日：2003-09-26
发明人： Robert Levine
IPC分类号： G06G007/58 , G06G007/48 , G09B023/28
CPC分类号： G09B23/28
摘要： A virtual patient simulates the onset, diagnosis and treatment of all major medical conditions via a medical instructional console. The multimedia simulation, complete with video and audio, allows the patient to develop symptoms, answer questions, and undergo physical examination, monitoring, laboratory and radiological evaluation. The virtual patient responds realistically to medical interventions and visualizes medical ailments and treatments from nullwithinnull. Exemplary organs available for visualization include a beating heart, flowing blood, breathing lungs and a thinking brain. Medical conditions include clots forming and emblazing, lungs collapsing, and the heart being defibrillated. The virtual patient provides a complete human body heretofore impalpable, allowing a user to navigate throughout the human body, observing the organs in simulated motion during both normal and pathological physiology, while demonstrating the internal effects of medications and procedures on these organs.
摘要翻译：虚拟患者通过医学教学控制台模拟所有主要医疗状况的发作，诊断和治疗。多媒体模拟，完整的视频和音频，允许患者出现症状，回答问题，并进行身体检查，监测，实验室和放射学评估。虚拟患者对医疗干预进行现实的反应，并从“内部”显现医疗疾病和治疗。可用于可视化的示例性器官包括跳动的心脏，流动的血液，呼吸肺和思维的脑。医疗条件包括凝块形成和发炎，肺塌陷，心脏被除颤。虚拟患者提供了一个完整的人体，迄今为止是不可忽视的，允许用户在整个人体内导航，在正常和病理生理学期间观察模拟运动中的器官，同时显示药物和程序对这些器官的内部影响。

8. 发明申请

US20040059520A1 Apparatus, method, and computer program product for determining confidence measures and combined confidence measures for assessing the quality of microarrays 有权
标题翻译：用于确定置信度测量和用于评估微阵列质量的组合置信度测量的装置，方法和计算机程序产品
公开(公告)号：US20040059520A1
公开(公告)日：2004-03-25
申请号：US10256101
申请日：2002-09-25
发明人： Soheil Shams , Anton Petrov
IPC分类号： G06G007/48 , G06G007/58 , G06F019/00 , G01N033/48 , G01N033/50
CPC分类号： G06T7/0006 , G06F19/24 , G06T2207/30072
摘要： An apparatus, method, and computer program product are provided for determining a confidence measure for the output of a process for assessing proteomic and genomic information samples. Typically, data is received as the results from a microarry experiment. The confidence measure is intended to determine whether the results of the experiment have been degraded due to experimental error. Several criteria are used by which quality is determined. The criteria are preferably combined into a combined quality measure in order to account for several possible sources of error.
摘要翻译：提供了一种装置，方法和计算机程序产品，用于确定用于评估蛋白质组和基因组信息样本的过程的输出的置信度度量。通常，数据作为微型实验的结果而被接收。置信度测量旨在确定实验结果是否由于实验误差而退化。使用几个标准来确定质量。这些标准优选地组合成组合的质量度量，以便考虑几个可能的误差源。

9. 发明申请

US20040048247A1 Pullulanase variants and methods for preparing such variants with predetermined properties 审中-公开
标题翻译：支链淀粉酶变体和用于制备具有预定性质的这种变体的方法
公开(公告)号：US20040048247A1
公开(公告)日：2004-03-11
申请号：US10069040
申请日：2002-02-19
发明人： Allan Svendsen , Carsten Andersen , Torben Vedel Borchert
IPC分类号： C12Q001/68 , G06G007/48 , G06G007/58 , C12N009/44 , C07H021/04
CPC分类号： C12N9/2457 , C12N9/246 , C12Y302/01041 , C12Y302/01068
摘要： The present invention relates to a method for producing a variant of a parent pullulanase, the variant having at least one altered property as compared to the parent pullulanase. The invention also relates to pullulanase variants and to the use of pullulanase variants of the invention for use in particular starch conversion processes.
摘要翻译：本发明涉及一种生产亲本支链淀粉酶变异体的方法，该变体与亲本支链淀粉酶相比具有至少一种改变的性质。本发明还涉及支链淀粉酶变体和本发明的支链淀粉酶变体在特定淀粉转化方法中的用途。

10. 发明申请

US20040015337A1 Systems and methods for predicting disease behavior 审中-公开
标题翻译：用于预测疾病行为的系统和方法
公开(公告)号：US20040015337A1
公开(公告)日：2004-01-22
申请号：US10336688
申请日：2003-01-06
发明人： Austin W. Thomas , Richard D. Thomas , Sterling W. Thomas , Scott J. Hawkins , James K. Parrish , Diane Weiss , Lawrence V. Robertson III
IPC分类号： G06F017/60 , G06G007/48 , G06G007/58
CPC分类号： G06Q50/24 , G16H50/20
摘要： A system and method of predicting disease behavior is disclosed that includes one or more independent components that also interact to produce a prediction of disease behavior based on mathematical modeling of the biological mechanisms and historical patient data.
摘要翻译：公开了一种预测疾病行为的系统和方法，其包括一个或多个独立组件，其还可以基于生物机制和历史患者数据的数学建模相互作用以产生疾病行为的预测。

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