公开(公告)号：US08465982B2

公开(公告)日：2013-06-18

申请号：US13075009

申请日：2011-03-29

Applicant: Yan Liu ,  Kannan Srinivasan ,  Christopher A. Pohl ,  Sheetal Bhardwaj ,  Zhongqing Lu

Inventor： Yan Liu ,  Kannan Srinivasan ,  Christopher A. Pohl ,  Sheetal Bhardwaj ,  Zhongqing Lu

IPC: G01N30/02

CPC classification number: B01D15/10 ,  G01N30/26 ,  G01N30/96 ,  G01N2030/965

Abstract: A chromatographic method including chromatographically separating sample ionic species in an eluent stream, detecting the separated sample ionic species, catalytically combining hydrogen and oxygen gases or catalytically decomposing hydrogen peroxide in a catalytic gas elimination chamber, and recycling the effluent stream from the chamber to the chromatography separation column. The residence time between the detector and the chamber is at least about one minute. Also, flowing the recycle sequentially through two detector effluent flow channels of an electrolytic membrane suppressor. Also, applying heat or UV energy between the detector and the chamber. Also, detecting bubbles after the chamber. Also, a Platinum group metal catalyst and ion exchange medium in the chamber. Apparatus for performing the methods.

公开(公告)号：US08415168B2

公开(公告)日：2013-04-09

申请号：US13479119

申请日：2012-05-23

Applicant: Yan Liu ,  Victor Manuel Berber Barreto ,  Christopher A. Pohl ,  Nebojsa Avdalovic

Inventor： Yan Liu ,  Victor Manuel Berber Barreto ,  Christopher A. Pohl ,  Nebojsa Avdalovic

IPC: G01N30/84

CPC classification number: B01D15/363 ,  B01D15/361 ,  B01D15/367 ,  G01N30/96 ,  G01N2030/965

Abstract: An apparatus for capillary ion chromatography comprising a suppressor comprising flow-through ion exchange packing in a housing and capillary tubing formed of a permselective ion exchange membrane, and at least partially disposed in said ion exchange packing. Also, a recycle conduit for aqueous liquid from the detector to the packing. Further, the capillary tubing may have weakly acidic or weakly basic functional groups. Also, a method for using the apparatus.

Abstract translation: 一种用于毛细管离子色谱的装置，包括抑制器，该抑制器包括在壳体中的流通离子交换填料和由选择性选择性离子交换膜形成的毛细管，并且至少部分地设置在所述离子交换填料中。 另外，从检测器到包装的水性液体循环管道。 此外，毛细管可具有弱酸性或弱碱性官能团。 另外，使用该装置的方法。

公开(公告)号：US08367423B2

公开(公告)日：2013-02-05

申请号：US12706944

申请日：2010-02-17

Applicant: Yan Liu ,  Hamish Small ,  Nebojsa Avdalovic

Inventor： Yan Liu ,  Hamish Small ,  Nebojsa Avdalovic

IPC: G01N30/28

CPC classification number: G01N30/96 ,  C25B1/16 ,  C25B1/22 ,  G01N30/02 ,  G01N30/34 ,  G01N2030/965 ,  Y10T436/25 ,  B01D15/36 ,  B01D15/426

Abstract: Method and apparatus for generating an acid or base, e.g. for chromatographic analysis of anions. For generating a base the method includes the steps of providing a cation source in a cation source reservoir, flowing an aqueous liquid stream through a base generation chamber separated from the cation source reservoir by a barrier (e.g. a charged membrane) substantially preventing liquid flow while providing a cation transport bridge, applying an electric potential between an anode cation source reservoir and a cathode in the base generation chamber to electrolytically generate hydroxide ions therein and to cause cations in the cation source reservoir to electromigrate and to be transported across the barrier toward the cathode to combine with the transported cations to form cation hydroxide, and removing the cation hydroxide in an aqueous liquid stream as an effluent from the first base generation chamber. Suitable cation sources include a salt solution, a cation hydroxide solution or cation exchange resin.

Abstract translation: 用于产生酸或碱的方法和设备，例如， 用于阴离子的色谱分析。 为了产生碱，该方法包括以下步骤：在阳离子源储存器中提供阳离子源，使水性液体流通过基本上防止液体流动的屏障（例如带电膜）与阳离子源储存器分离的碱性产生室流动， 提供阳离子输送桥，在基底产生室中的阳极阳离子源储存器和阴极之间施加电位以在其中电解产生氢氧根离子，并使阳离子源储存器中的阳离子电迁移并穿过屏障向着 阴极与所运送的阳离子结合以形成阳离子氢氧化物，并且以水溶液流中的阳离子氢氧化物作为来自第一碱基产生室的流出物除去。 合适的阳离子源包括盐溶液，阳离子氢氧化物溶液或阳离子交换树脂。

公开(公告)号：US20130013540A1

公开(公告)日：2013-01-10

申请号：US13619142

申请日：2012-09-14

Applicant: Jingrui He ,  Richard D. Lawrence ,  Yan Liu

Inventor： Jingrui He ,  Richard D. Lawrence ,  Yan Liu

IPC: G06F15/18

CPC classification number: G06N99/005

Abstract: Transfer learning is the task of leveraging the information from labeled examples in some domains to predict the labels for examples in another domain. It finds abundant practical applications, such as sentiment prediction, image classification and network intrusion detection. A graph-based transfer learning framework propagates label information from a source domain to a target domain via the example-feature-example tripartite graph, and puts more emphasis on the labeled examples from the target domain via the example-example bipartite graph. An iterative algorithm renders the framework scalable to large-scale applications. The framework propagates the label information to both features irrelevant to the source domain and unlabeled examples in the target domain via common features in a principled way.

Abstract translation: 转移学习是利用来自某些领域的标记示例的信息来预测另一个域中的示例的标签的任务。 发现情绪预测，图像分类和网络入侵检测等丰富的实际应用。 基于图形的传输学习框架通过示例特征示例三方图将标签信息从源域传播到目标域，并通过示例性的二分图更加强调来自目标域的标记示例。 迭代算法使框架可扩展到大规模应用程序。 该框架通过原理方式的共同特征将标签信息传播到与源域无关的特征和目标域中的未标记示例。

公开(公告)号：US20130007233A1

公开(公告)日：2013-01-03

申请号：US13174294

申请日：2011-06-30

Applicant: Hao Lv ,  Pradeep Iyer ,  Yan Liu

Inventor： Hao Lv ,  Pradeep Iyer ,  Yan Liu

IPC: G06F15/177

CPC classification number: H04L41/0803 ,  H04L61/2007 ,  H04L61/2038 ,  H04L61/2092 ,  H04W8/26 ,  H04W8/28

Abstract: According to embodiments of the present disclosure, a managed network device assigns to itself an IP address, in absence of a DHCP service, in a link local address space within a wireless network. The system further responds to a network frame received from another device based on the assigned IP address in the link local address space. The network frame can be a network traffic frame, a control path frame, and/or a management frame. The control path frame comprises a source IP address and a destination IP address that correspond to internal IP addresses in the link local address space that are self-assigned by managed network devices. The management frame comprises the self-assigned internal IP address for the managed network device, and provides for management of managed network devices in the wireless network through a single IP address when a virtual controller is configured for the wireless network.

公开(公告)号：US08318727B2

公开(公告)日：2012-11-27

申请号：US12962557

申请日：2010-12-07

Applicant: Sheldon X Cao ,  Victoria Feher ,  Takashi Ichikawa ,  Benjamin Jones ,  Stephen W. Kaldor ,  Andre A. Kiryanov ,  Yan Liu ,  Chrisopher McBride ,  Srinivasa Ready Natala ,  Zhe Nie ,  Jeffrey A. Stafford ,  Betty Lam

Inventor： Sheldon X Cao ,  Victoria Feher ,  Takashi Ichikawa ,  Benjamin Jones ,  Stephen W. Kaldor ,  Andre A. Kiryanov ,  Yan Liu ,  Chrisopher McBride ,  Srinivasa Ready Natala ,  Zhe Nie ,  Jeffrey A. Stafford ,  Betty Lam

IPC: C07D487/04 ,  A61K31/55

CPC classification number: C07D487/04 ,  C07D487/14 ,  C07D519/00

Abstract: Compounds of the following formula are provided for use with kinases: wherein the variables are as defined herein. Also provided are pharmaceutical compositions, kits and articles of manufacture comprising such compounds; methods and intermediates useful for making the compounds; and methods of using said compounds.

Abstract translation: 提供下式的化合物用于激酶：其中变量如本文所定义。 还提供了包含这些化合物的药物组合物，试剂盒和制品; 用于制备化合物的方法和中间体; 以及使用所述化合物的方法。

公开(公告)号：US20120264697A1

公开(公告)日：2012-10-18

申请号：US13513659

申请日：2010-06-25

Applicant: Yang Liu ,  Yin Wang ,  Yan Liu ,  Sami N. Malek ,  Pan Zheng

Inventor： Yang Liu ,  Yin Wang ,  Yan Liu ,  Sami N. Malek ,  Pan Zheng

IPC: A61K38/12 ,  A61P35/00

CPC classification number: A61K38/07 ,  A61K31/00 ,  A61K31/395 ,  A61K31/4355 ,  A61K31/498 ,  A61K31/565 ,  A61K38/08 ,  A61K45/06 ,  A61K2300/00

Abstract: The present invention relates to treating a hematologic cancer using a Hypoxia- Inducible Factor (HIF inhibitor). The invention also relates to inducing acute myeloid leukemia remission using the HIF inhibitor. The invention further relates to inhibiting a maintenance or survival function of a cancer stem cell (CSC) using the HIF inhibitor.

Abstract translation: 本发明涉及使用缺氧诱导因子（HIF抑制剂）治疗血液癌症。 本发明还涉及使用HIF抑制剂诱导急性骨髓性白血病缓解。 本发明还涉及使用HIF抑制剂抑制癌症干细胞（CSC）的维持或存活功能。

公开(公告)号：US20120185415A1

公开(公告)日：2012-07-19

申请号：US13006245

申请日：2011-01-13

Applicant: Vijil E. Chenthamarakshan ,  Richard D. Lawrence ,  Yan Liu ,  Dan Zhang

Inventor： Vijil E. Chenthamarakshan ,  Richard D. Lawrence ,  Yan Liu ,  Dan Zhang

IPC: G06F15/18

CPC classification number: G06N99/005 ,  G06F17/3071

Abstract: System, method and computer program product provides a novel domain adaption/transfer learning approach applied to the problem of classifying abbreviated documents, e.g., short text messages, instant messages, tweets. The proposed method uses a large number of multi-labeled examples (source domain) to improve the learning on the partial observations (target domain). Specifically, a hidden, higher-level abstraction space is learned that is meaningful for the multi-labeled examples in the source domain. This is done by simultaneously minimizing the document reconstruction error and the error in a classification model learned in the hidden space using known labels from the source domain. The partial observations in the target space are then mapped to the same hidden space, and classified into the label space determined by the source domain. Exemplary results provided for a Twitter dataset demonstrate that the method identifies meaningful hidden topics and provides useful classifications of specific tweets.

Abstract translation: 系统，方法和计算机程序产品提供了一种新颖的域适应/转移学习方法，其应用于对简短文档进行分类的问题，例如短文本消息，即时消息，推文。 所提出的方法使用大量多标记示例（源域）来改善部分观察（目标域）上的学习。 具体来说，学习一个隐藏的，更高级别的抽象空间，这对于源域中的多标签示例是有意义的。 这是通过使用来自源域的已知标签在隐藏空间中学习的分类模型中同时最小化文档重建错误和错误来完成的。 然后将目标空间中的部分观察值映射到相同的隐藏空间，并将其分类为由源域确定的标签空间。 为Twitter数据集提供的示例性结果表明该方法识别有意义的隐藏主题，并提供特定推文的有用分类。

公开(公告)号：US20120036100A1

公开(公告)日：2012-02-09

申请号：US13197906

申请日：2011-08-04

Applicant: Katharina Probst ,  Rayid Ghani ,  Andrew E. Fano ,  Marko Krema ,  Yan Liu

Inventor： Katharina Probst ,  Rayid Ghani ,  Andrew E. Fano ,  Marko Krema ,  Yan Liu

IPC: G06N5/02

CPC classification number: G06F17/27 ,  G06F17/2745

Abstract: One or more classification algorithms are applied to at least one natural language document in order to extract both attributes and values of a given product. Supervised classification algorithms, semi-supervised classification algorithms, unsupervised classification algorithms or combinations of such classification algorithms may be employed for this purpose. The at least one natural language document may be obtained via a public communication network. Two or more attributes (or two or more values) thus identified may be merged to form one or more attribute phrases or value phrases. Once attributes and values have been extracted in this manner, association or linking operations may be performed to establish attribute-value pairs that are descriptive of the product. In a presently preferred embodiment, an (unsupervised) algorithm is used to generate seed attributes and values which can then support a supervised or semi-supervised classification algorithm.

Abstract translation: 一个或多个分类算法被应用于至少一个自然语言文档，以便提取给定产品的属性和值。 为此，可以采用监督分类算法，半监督分类算法，无监督分类算法或这种分类算法的组合。 可以经由公共通信网络获得至少一个自然语言文档。 如此识别的两个或多个属性（或两个或多个值）可以被合并以形成一个或多个属性短语或值短语。 一旦以这种方式提取了属性和值，就可以执行关联或链接操作来建立描述产品的属性值对。 在当前优选的实施例中，（无监督）算法用于生成种子属性和值，然后可以支持受监督或半监督分类算法。

公开(公告)号：US20110320387A1

公开(公告)日：2011-12-29

申请号：US12938063

申请日：2010-11-02

Applicant: Jingrui He ,  Richard D. Lawrence ,  Yan Liu

Inventor： Jingrui He ,  Richard D. Lawrence ,  Yan Liu

IPC: G06F15/18

CPC classification number: G06N20/00

Abstract: Transfer learning is the task of leveraging the information from labeled examples in some domains to predict the labels for examples in another domain. It finds abundant practical applications, such as sentiment prediction, image classification and network intrusion detection. A graph-based transfer learning framework propagates label information from a source domain to a target domain via the example-feature-example tripartite graph, and puts more emphasis on the labeled examples from the target domain via the example-example bipartite graph. An iterative algorithm renders the framework scalable to large-scale applications. The framework propagates the label information to both features irrelevant to the source domain and unlabeled examples in the target domain via common features in a principled way.

Abstract translation: 转移学习是利用来自某些领域的标记示例的信息来预测另一个域中的示例的标签的任务。 发现情绪预测，图像分类和网络入侵检测等丰富的实际应用。 基于图形的传输学习框架通过示例特征示例三方图将标签信息从源域传播到目标域，并通过示例性的二分图更加强调来自目标域的标记示例。 迭代算法使框架可扩展到大规模应用程序。 该框架通过原理方式的共同特征将标签信息传播到与源域无关的特征和目标域中的未标记示例。