公开(公告)号：US06688889B2

公开(公告)日：2004-02-10

申请号：US09802312

申请日：2001-03-08

申请人： Douglas Wallace ,  Michael Flaherty ,  John Flaherty ,  Todd Huss ,  Susan Detwiler ,  David Roy

发明人： Douglas Wallace ,  Michael Flaherty ,  John Flaherty ,  Todd Huss ,  Susan Detwiler ,  David Roy

IPC分类号： G09B1100

CPC分类号： G09B7/06

摘要： A computerized test preparation system and methods are disclosed which assist an examinee to increase his learning and improve his performance on standardized academic or applied aptitude and achievement exams. Performance feedback information is provided to a user, including conventional information such as number of items correct and time elapsed, pinpoints substantive areas of a particular exam in which the user is either weak or strong, and offers diagnoses of, and remediation tailored to, a user's personal difficulties. By assessing a user's responses to given exam questions, through various distractor error patterns manifested in the incorrect answers to multiple-choice questions, or through coded categories of responses in the case of user responses to constrained open-ended items, a preliminary diagnosis of a user's deficits in knowledge and/or test taking skill is made. This preliminary diagnosis is subsequently refined utilizing additional examination questions. The refined diagnosis is then utilized to offer recommendations to an individual user to ameliorate the user's manifested error patterns. A user's response to this remediation is confirmed and reinforced using subsequent remediation activities.

摘要翻译： 公开了一种计算机化的测试准备系统和方法，帮助受试者增加他的学习能力，提高他在标准化学术或应用能力和成就考试中的表现。 向用户提供性能反馈信息，包括常规信息，例如正确数量和经过时间的常规信息，确定用户弱或强的特定检查的实质性区域，并提供针对某一特定检查的诊断和修复 用户的个人困难。 通过评估用户对给定考试问题的回答，通过在多项选择问题的错误答案中表现的各种干扰误差模式，或通过用户对受限制的开放式项目的响应的编码类别的响应，初步诊断 进行用户的知识和/或考试技能缺陷。 随后使用额外的检查问题来改进初步诊断。 然后利用精细诊断为个人用户提供建议，以改善用户表现的错误模式。 使用后续修复活动确认和加强用户对此修复的响应。

公开(公告)号：US07672789B2

公开(公告)日：2010-03-02

申请号：US11413183

申请日：2006-04-28

申请人： Tse-Wei Wang ,  Ning Xue ,  John D Birdwell ,  Mark Rader ,  John Flaherty

发明人： Tse-Wei Wang ,  Ning Xue ,  John D Birdwell ,  Mark Rader ,  John Flaherty

IPC分类号： G06F7/00

CPC分类号： G06F19/18 ,  G06F19/22 ,  G06F19/24 ,  Y10S707/99943

摘要： Least Square Deconvolution (LSD) uses quantitative allele peak area derived from a sample containing the DNA of more than one contributor to resolve the best-fit genotype profile of each contributor. The resolution is based on finding the least square fit of the mass ratio coefficients at each locus to come closest to the quantitative allele peak data. Consistent top-ranked mass ratio combinations from each locus can be pooled to form at least one composite DNA profile at a subset of the available loci. The top-ranked DNA profiles can be used to check against the profile of a suspect or be used to search for a matching profile in a DNA database.

摘要翻译： 最小二乘解卷积（LSD）使用从含有多个贡献者的DNA的样品衍生的定量等位基因峰面积来解决每个贡献者的最佳拟合基因型。 该分辨率基于找到每个轨迹处的质量比系数的最小二乘拟合最接近定量等位基因峰数据。 可以汇集来自每个基因座的一致的顶级质量比组合，以在可用基因座的子集处形成至少一个复合DNA谱。 排名最高的DNA谱可用于检查疑似病例的轮廓，或用于在DNA数据库中搜索匹配的分布。

公开(公告)号：US08140271B2

公开(公告)日：2012-03-20

申请号：US12947063

申请日：2010-11-16

申请人： Tse-Wei Wang ,  John Douglas Birdwell ,  Xue Ning ,  Mark S. Rader ,  John Flaherty

发明人： Tse-Wei Wang ,  John Douglas Birdwell ,  Xue Ning ,  Mark S. Rader ,  John Flaherty

IPC分类号： G06F7/00

CPC分类号： G06F19/18 ,  G06F19/22 ,  G06F19/24 ,  Y10S707/99943

摘要： Least Square Deconvolution (LSD) uses quantitative allele peak data, for example, allele peak area, allele peak height and optical density, derived/obtained from a sample containing the DNA of more than one contributor to resolve the best-fit genotype profile of each contributor. The resolution is based on finding the least square fit of the mass ratio coefficients at each locus to come closest to the quantitative allele peak data. Consistent top-ranked mass ratio combinations from each locus can be pooled to form at least one composite DNA profile at a subset of the available loci. The top-ranked DNA profiles can be used to check against the profile of a suspect or be used to search for a matching profile in a DNA database.

摘要翻译： 最小二乘解卷积（LSD）使用定量等位基因峰数据，例如从包含多于一个贡献者的DNA的样品得到/获得的等位基因峰面积，等位基因峰高度和光密度，以解决每一个的最佳拟合基因型谱 贡献者。 该分辨率基于找到每个轨迹处的质量比系数的最小二乘拟合最接近定量等位基因峰数据。 可以汇集来自每个基因座的一致的顶级质量比组合，以在可用基因座的子集处形成至少一个复合DNA谱。 排名最高的DNA谱可用于检查疑似病例的轮廓，或用于在DNA数据库中搜索匹配的分布。

公开(公告)号：US20110093208A1

公开(公告)日：2011-04-21

申请号：US12947063

申请日：2010-11-16

申请人： Tse-Wei Wang ,  Ning Xue ,  John D. Birdwell ,  Mark Rader ,  John Flaherty

发明人： Tse-Wei Wang ,  Ning Xue ,  John D. Birdwell ,  Mark Rader ,  John Flaherty

IPC分类号： G06F19/00

CPC分类号： G06F19/18 ,  G06F19/22 ,  G06F19/24 ,  Y10S707/99943

摘要： Least Square Deconvolution (LSD) uses quantitative allele peak data, for example, allele peak area, allele peak height and optical density, derived/obtained from a sample containing the DNA of more than one contributor to resolve the best-fit genotype profile of each contributor. The resolution is based on finding the least square fit of the mass ratio coefficients at each locus to come closest to the quantitative allele peak data. Consistent top-ranked mass ratio combinations from each locus can be pooled to form at least one composite DNA profile at a subset of the available loci. The top-ranked DNA profiles can be used to check against the profile of a suspect or be used to search for a matching profile in a DNA database.

摘要翻译： 最小二乘解卷积（LSD）使用定量等位基因峰数据，例如从包含多于一个贡献者的DNA的样品得到/获得的等位基因峰面积，等位基因峰高度和光密度，以解决每一个的最佳拟合基因型谱 贡献者。 该分辨率基于找到每个轨迹处的质量比系数的最小二乘拟合最接近定量等位基因峰数据。 可以汇集来自每个基因座的一致的顶级质量比组合，以在可用基因座的子集处形成至少一个复合DNA谱。 排名最高的DNA谱可用于检查疑似病例的轮廓，或用于在DNA数据库中搜索匹配的分布。

公开(公告)号：US20100153019A1

公开(公告)日：2010-06-17

申请号：US12631032

申请日：2009-12-04

申请人： Tse-Wei Wang ,  Ning Xue ,  John D. Birdwell ,  Mark Rader ,  John Flaherty

发明人： Tse-Wei Wang ,  Ning Xue ,  John D. Birdwell ,  Mark Rader ,  John Flaherty

IPC分类号： G06F19/00

CPC分类号： G06F19/18 ,  G06F19/22 ,  G06F19/24 ,  Y10S707/99943

摘要： Least Square Deconvolution (LSD) uses quantitative allele peak data derived obtained from a sample containing the DNA of more than one contributor to resolve the best-fit genotype profile of each contributor. The resolution is based on finding the least square fit of the mass ratio coefficients at each locus to come closest to the quantitative allele peak data. Consistent top-ranked mass ratio combinations from each locus can be pooled to form at least one composite DNA profile at a subset of the available loci. The top-ranked DNA profiles can be used to check against the profile of a suspect or be used to search for a matching profile in a DNA database.

摘要翻译： 最小二乘解卷积（LSD）使用从含有多个贡献者的DNA的样品获得的定量等位基因峰数据来解决每个贡献者的最佳拟合基因型谱。 该分辨率基于找到每个轨迹处的质量比系数的最小二乘拟合最接近定量等位基因峰数据。 可以汇集来自每个基因座的一致的顶级质量比组合，以在可用基因座的子集处形成至少一个复合DNA谱。 排名最高的DNA谱可用于检查疑似病例的轮廓，或用于在DNA数据库中搜索匹配的分布。

公开(公告)号：US07860661B2

公开(公告)日：2010-12-28

申请号：US12631032

申请日：2009-12-04

申请人： Tse-Wei Wang ,  Xue Ning ,  John Douglas Birdwell ,  Mark Rader ,  John Flaherty

发明人： Tse-Wei Wang ,  Xue Ning ,  John Douglas Birdwell ,  Mark Rader ,  John Flaherty

IPC分类号： G06F7/00

CPC分类号： G06F19/18 ,  G06F19/22 ,  G06F19/24 ,  Y10S707/99943

摘要： Least Square Deconvolution (LSD) uses quantitative allele peak data derived obtained from a sample containing the DNA of more than one contributor to resolve the best-fit genotype profile of each contributor. The resolution is based on finding the least square fit of the mass ratio coefficients at each locus to come closest to the quantitative allele peak data. Consistent top-ranked mass ratio combinations from each locus can be pooled to form at least one composite DNA profile at a subset of the available loci. The top-ranked DNA profiles can be used to check against the profile of a suspect or be used to search for a matching profile in a DNA database.

摘要翻译： 最小二乘解卷积（LSD）使用从含有多个贡献者的DNA的样品获得的定量等位基因峰数据来解决每个贡献者的最佳拟合基因型谱。 该分辨率基于找到每个轨迹处的质量比系数的最小二乘拟合最接近定量等位基因峰数据。 可以汇集来自每个基因座的一致的顶级质量比组合，以在可用基因座的子集处形成至少一个复合DNA谱。 排名最高的DNA谱可用于检查疑似病例的轮廓，或用于在DNA数据库中搜索匹配的分布。

公开(公告)号：US07162372B2

公开(公告)日：2007-01-09

申请号：US10265908

申请日：2002-10-08

申请人： Tse-Wei Wang ,  Ning Xue ,  John D. Birdwell ,  Mark Rader ,  John Flaherty

发明人： Tse-Wei Wang ,  Ning Xue ,  John D. Birdwell ,  Mark Rader ,  John Flaherty

IPC分类号： G01N33/48 ,  G06F7/00 ,  C12Q1/68

CPC分类号： G06F19/18 ,  G06F19/22 ,  G06F19/24 ,  Y10S707/99943

摘要： Least Square Deconvolution (LSD) uses quantitative allele peak data derived obtained from a sample containing the DNA of more than one contributor to resolve the best-fit genotype profile of each contributor. The resolution is based on finding the least square fit of the mass ratio coefficients at each locus to come closest to the quantitative allele peak data. Consistent top-ranked mass ratio combinations from each locus can be pooled to form at least one composite DNA profile at a subset of the available loci. The top-ranked DNA profiles can be used to check against the profile of a suspect or be used to search for a matching profile in a DNA database.

摘要翻译： 最小二乘解卷积（LSD）使用从含有多个贡献者的DNA的样品获得的定量等位基因峰数据来解决每个贡献者的最佳拟合基因型谱。 该分辨率基于找到每个轨迹处的质量比系数的最小二乘拟合最接近定量等位基因峰数据。 可以汇集来自每个基因座的一致的顶级质量比组合，以在可用基因座的子集处形成至少一个复合DNA谱。 排名最高的DNA谱可用于检查疑似病例的轮廓，或用于在DNA数据库中搜索匹配的分布。

公开(公告)号：US20060190194A1

公开(公告)日：2006-08-24

申请号：US11413183

申请日：2006-04-28

申请人： Tse-Wei Wang ,  Ning Xue ,  John Birdwell ,  Mark Rader ,  John Flaherty

发明人： Tse-Wei Wang ,  Ning Xue ,  John Birdwell ,  Mark Rader ,  John Flaherty

IPC分类号： G06F19/00 ,  H04L9/00

CPC分类号： G06F19/18 ,  G06F19/22 ,  G06F19/24 ,  Y10S707/99943

摘要： Least Square Deconvolution (LSD) uses quantitative allele peak area derived from a sample containing the DNA of more than one contributor to resolve the best-fit genotype profile of each contributor. The resolution is based on finding the least square fit of the mass ratio coefficients at each locus to come closest to the quantitative allele peak data. Consistent top-ranked mass ratio combinations from each locus can be pooled to form at least one composite DNA profile at a subset of the available loci. The top-ranked DNA profiles can be used to check against the profile of a suspect or be used to search for a matching profile in a DNA database.

摘要翻译： 最小二乘解卷积（LSD）使用从含有多个贡献者的DNA的样品衍生的定量等位基因峰面积来解决每个贡献者的最佳拟合基因型。 该分辨率基于找到每个轨迹处的质量比系数的最小二乘拟合最接近定量等位基因峰数据。 可以汇集来自每个基因座的一致的顶级质量比组合，以在可用基因座的子集处形成至少一个复合DNA谱。 排名最高的DNA谱可用于检查疑似病例的轮廓，或用于在DNA数据库中搜索匹配的分布。

公开(公告)号：US4258245A

公开(公告)日：1981-03-24

申请号：US40868

申请日：1979-05-21

申请人： John Flaherty

发明人： John Flaherty

IPC分类号： B23K11/30 ,  B23K11/06

CPC分类号： B23K11/309

摘要： A resistance welding machine in which a wire electrode is urged into contact with a workpiece by first and second electrode wheels, the wire having first and second surfaces extending parallel to the axis of the wire and a twisting mechanism located in the path of the wire after the first electrode and before the second electrode for twisting the wire during linear motion of the wire so that the surface of the wire presented to the workpiece at the first electrode wheel is also presented to the workpiece at the second electrode wheel.

摘要翻译： 一种电阻焊机，其中，线电极被第一和第二电极轮与工件接触，所述电线具有平行于所述电线的轴线延伸的第一和第二表面以及位于所述电线的路径中的扭转机构， 所述第一电极和所述第二电极之前用于在线的线性运动期间扭曲所述线，使得在所述第一电极轮处呈现给所述工件的所述线的表面也在所述第二电极轮处呈现给所述工件。