公开(公告)号：US20090275996A1

公开(公告)日：2009-11-05

申请号：US12433770

申请日：2009-04-30

Applicant: John E. Burnes ,  Eduardo N. Warman ,  Matthew D. Bonner ,  Avram Scheiner ,  Shailesh Kumar V. Musley

Inventor： John E. Burnes ,  Eduardo N. Warman ,  Matthew D. Bonner ,  Avram Scheiner ,  Shailesh Kumar V. Musley

IPC: A61N1/36

CPC classification number: A61N1/36053 ,  A61M25/09 ,  A61N1/05 ,  A61N1/0551 ,  A61N1/0558 ,  A61N1/057 ,  A61N1/36085 ,  A61N1/36114 ,  A61N1/36125 ,  A61N1/36128

Abstract: This disclosure is directed to extra, intra, and transvascular medical lead placement techniques for arranging medical leads and electrical stimulation and/or sensing electrodes proximate nerve tissue within a patient.

Abstract translation: 本公开涉及用于在患者体内靠近神经组织布置医疗引线和电刺激和/或感测电极的额外的，内部的和经血管内的医疗引线放置技术。

公开(公告)号：US09633959B2

公开(公告)日：2017-04-25

申请号：US14620155

申请日：2015-02-11

Applicant: Shailesh Kumar ,  Vikas Garg ,  Meng Kong Lye

Inventor： Shailesh Kumar ,  Vikas Garg ,  Meng Kong Lye

IPC: H01L23/48 ,  H01L23/52 ,  H01L23/00 ,  H01L23/31

CPC classification number: H01L24/06 ,  H01L23/3171 ,  H01L24/02 ,  H01L24/05 ,  H01L2224/0235 ,  H01L2224/02375 ,  H01L2224/04042 ,  H01L2224/05553 ,  H01L2224/05554 ,  H01L2224/05567 ,  H01L2224/0603 ,  H01L2224/06051 ,  H01L2224/06131 ,  H01L2224/06135 ,  H01L2224/06138 ,  H01L2224/06139 ,  H01L2224/06179 ,  H01L2924/00012

Abstract: An integrated circuit (IC) die has side input/output (IO) pads located along each side of the die interior. Each die corner has a corner IO pad. The side IO pads adjacent to the corner IO pads have shortened passivation regions in the top metal layer (TML) that define TML access regions. TML traces run through the TML access regions to connect the corner IO pads to the die interior. Providing corner IO pads enables an IC die to have up to four more IO pads than a comparable conventional IC die that does not have any corner IO pads, or an IC die to have the same number of IO pads within a smaller overall footprint.

公开(公告)号：US08669348B2

公开(公告)日：2014-03-11

申请号：US12594007

申请日：2008-03-28

Applicant: Aparna Dixit ,  Aruna Vashishta ,  Tejram Sahu ,  Shailesh Kumar Choudhary ,  Alli Murugesan

Inventor： Aparna Dixit ,  Aruna Vashishta ,  Tejram Sahu ,  Shailesh Kumar Choudhary ,  Alli Murugesan

IPC: A61K38/00 ,  A61K38/10 ,  A61K38/16 ,  A61K38/04 ,  A61P3/10 ,  C07K4/10 ,  C07K1/14 ,  C07K7/08 ,  C07K14/415

CPC classification number: C07K14/415 ,  A61K38/00

Abstract: The present invention relates to a novel hypoglycemic/anti-hyperglycemic protein named ADMc1 purified from the seeds of Momordica charantia for control of hyperglycemia. The process for the purification of novel hypoglycemic/anti-hyperglycemic protein named ADMc1 is also disclosed. The invention also relates to process for preparation and purification of the recombinant novel hypoglycemic/anti-hyperglycemic protein of Momordica charantia, named rADMc1. Both ADMc1 and rADMc1 are highly effective and need to be administered only once a day to maintain normal blood glucose levels. The procedure involves purification of a novel hypoglycemic/anti-hyperglycemic protein of M. charantia, construction of cDNA library from M. charantia seeds, screening of cDNA library using oligonucleotide probe designed on the basis of amino acid sequence of the tryptic fragment of the protein, cloning of the cDNA in a eukaryotic expression system, expression and purification of the recombinant protein.

Abstract translation: 本发明涉及从苦瓜属的种子中纯化的用于控制高血糖的名为ADMc1的新型降血糖/抗高血糖蛋白。 还公开了名为ADMc1的新型降血糖/抗高血糖蛋白的纯化方法。 本发明还涉及名为rADMc1的苦瓜属重组新型降血糖/抗高血糖蛋白的制备和纯化方法。 ADMc1和rADMc1都是非常有效的，每天只需服用一次，以维持正常的血糖水平。 该方法涉及纯化马氏杆菌的新型低血糖/抗高血糖蛋白，构建来自马鞭草种子的cDNA文库，使用基于蛋白质的胰蛋白酶片段的氨基酸序列设计的寡核苷酸探针筛选cDNA文库 ，在真核表达系统中克隆cDNA，重组蛋白的表达和纯化。

公开(公告)号：US08572618B2

公开(公告)日：2013-10-29

申请号：US12776064

申请日：2010-05-07

Applicant: Khanderao Kand ,  Fang Liu ,  Bhagat Nainani ,  Shailesh Kumar

Inventor： Khanderao Kand ,  Fang Liu ,  Bhagat Nainani ,  Shailesh Kumar

IPC: G09F9/46

CPC classification number: G06F9/5038 ,  G06F2209/5013

Abstract: An extensible process design provides an ability to dynamically inject changes into a running process instance, such as a BPEL instance. Using a combination of BPEL, rules and events, processes can be designed to allow flexibility in terms of adding new activities, removing or skipping activities and adding dependent activities. These changes do not require redeployment of the orchestration process and can affect the behavior of in-flight process instances. The extensible process design includes a main orchestration process, a set of task execution processes and a set of generic trigger processes. The design also includes a set of rules evaluated during execution of the tasks of the orchestration process. The design can further include three types of events: an initiate process event, a pre-task execution event and a post-task execution event. These events and rules can be used to alter the behavior of the main orchestration process at runtime.

Abstract translation: 可扩展过程设计提供了将更改动态注入正在运行的流程实例（如BPEL实例）的功能。 使用BPEL，规则和事件的组合，可以设计流程以允许在添加新活动，删除或跳过活动以及添加依赖活动方面的灵活性。 这些更改不需要重新部署编排过程，并且可能影响飞行中流程实例的行为。 可扩展过程设计包括主要的编排过程，一组任务执行过程和一组通用触发过程。 该设计还包括在执行编排过程任务期间评估的一组规则。 该设计可以进一步包括三种类型的事件：启动过程事件，前任务执行事件和后任务执行事件。 这些事件和规则可用于在运行时改变主要业务流程的行为。

公开(公告)号：US08015140B2

公开(公告)日：2011-09-06

申请号：US12857317

申请日：2010-08-16

Applicant: Shailesh Kumar ,  Edmond D. Chow ,  Michinari Momma

Inventor： Shailesh Kumar ,  Edmond D. Chow ,  Michinari Momma

IPC: G06F17/00 ,  G06N5/02

CPC classification number: G06Q30/06 ,  G06Q10/04 ,  G06Q10/06 ,  G06Q30/02 ,  G06Q30/0201 ,  G06Q30/0202 ,  G06Q30/0204 ,  G06Q30/0224 ,  G06Q30/0605

Abstract: The invention, referred to herein as PeaCoCk, uses a unique blend of technologies from statistics, information theory, and graph theory to quantify and discover patterns in relationships between entities, such as products and customers, as evidenced by purchase behavior. In contrast to traditional purchase-frequency based market basket analysis techniques, such as association rules which mostly generate obvious and spurious associations, PeaCoCk employs information-theoretic notions of consistency and similarity, which allows robust statistical analysis of the true, statistically significant, and logical associations between products. Therefore, PeaCoCk lends itself to reliable, robust predictive analytics based on purchase-behavior.

Abstract translation: 本发明在本文中称为PeaCoCk，使用来自统计学，信息理论和图形理论的独特技术融合来量化和发现实体（例如产品和客户）之间的关系中的模式，如购买行为所证明的。 与传统的基于购买频率的市场篮子分析技术（如大多数产生明显和虚假关联的关联规则）相反，PeaCoCk采用信息理论的一致性和相似性概念，这使得对真实的，统计上显着的和合乎逻辑的逻辑分析 产品之间的关联。 因此，PeaCoCk可以根据购买行为进行可靠，强大的预测分析。

公开(公告)号：US20100057509A1

公开(公告)日：2010-03-04

申请号：US12202933

申请日：2008-09-02

Applicant: Shailesh Kumar ,  Junwen Wu ,  Vesselin Diev

Inventor： Shailesh Kumar ,  Junwen Wu ,  Vesselin Diev

IPC: G06Q10/00

CPC classification number: G06Q10/10

Abstract: A method of modeling includes quantifying a co-operative strength value for a plurality of pairs of variables, and identifying a clique of at least three variables based on a graph of the co-operative strength values of a plurality of pairs of variables. The method also includes selecting a first pair of variables of the plurality of pairs of variables having a high co-operative strength value. A second clique may also be identified. A model of the first clique and a model of the second clique are made. The outputs of these models are combined to form a combined model which is used to make various decisions with respect to real time data.

Abstract translation: 建模方法包括量化多对变量对的合作强度值，并且基于多对变量对的合作强度值的图来识别至少三个变量的集团。 该方法还包括选择具有高合作强度值的多对变量对的第一对变量。 也可以识别第二集团。 制作第一集团的模型和第二集团的模型。 这些模型的输出被组合以形成用于对实时数据做出各种决定的组合模型。

公开(公告)号：US20090327132A1

公开(公告)日：2009-12-31

申请号：US12163688

申请日：2008-06-27

Applicant: Vesselin Diev ,  Shailesh Kumar ,  Scott M. Zoldi

Inventor： Vesselin Diev ,  Shailesh Kumar ,  Scott M. Zoldi

IPC: G06Q40/00

CPC classification number: G06Q40/02 ,  G06Q20/40 ,  G06Q40/00 ,  G06Q40/025

Abstract: A system for classifying a transaction as fraudulent includes a training component and a scoring component. The training component acts on historical data and also includes a multi-dimensional risk table component comprising one or more multidimensional risk tables each of which approximates an initial risk value for a substantially empty cell in a risk table based upon risk values in cells related to the substantially empty cell. The scoring component produces a score, based in part, on the risk tables associated with groupings of variables having values determined by the training component. The scoring component includes a statistical model that produces an output and wherein the transaction is classified as fraudulent when the output is above a selected threshold value.

Abstract translation: 将交易分类为欺诈的系统包括训练组件和评分组件。 培训组件作用于历史数据，并且还包括多维风险表组件，其包括一个或多个多维风险表，每个风险表基于与风险表相关的单元中的风险值近似于风险表中基本上为空的单元格的初始风险值 基本上空的单元格。 评分部分产生一个分数，部分基于与具有由训练组件确定的值的变量分组相关联的风险表。 评分组件包括产生输出的统计模型，并且其中当输出高于所选择的阈值时，交易被分类为欺诈。

公开(公告)号：US20070094067A1

公开(公告)日：2007-04-26

申请号：US11355567

申请日：2006-02-15

Applicant: Shailesh Kumar ,  Edmond Chow ,  Michinari Momma

Inventor： Shailesh Kumar ,  Edmond Chow ,  Michinari Momma

IPC: G06F17/30

CPC classification number: G06Q30/06 ,  G06Q10/04 ,  G06Q10/06 ,  G06Q30/02 ,  G06Q30/0201 ,  G06Q30/0202 ,  G06Q30/0204 ,  G06Q30/0224 ,  G06Q30/0605

Abstract: The invention, referred to herein as PeaCoCk, uses a unique blend of technologies from statistics, information theory, and graph theory to quantify and discover patterns in relationships between entities, such as products and customers, as evidenced by purchase behavior. In contrast to traditional purchase-frequency based market basket analysis techniques, such as association rules which mostly generate obvious and spurious associations, PeaCoCk employs information-theoretic notions of consistency and similarity, which allows robust statistical analysis of the true, statistically significant, and logical associations between products. Therefore, PeaCoCk lends itself to reliable, robust predictive analytics based on purchase-behavior.

公开(公告)号：US20070094066A1

公开(公告)日：2007-04-26

申请号：US11327822

申请日：2006-01-06

Applicant: Shailesh Kumar ,  Edmond Chow ,  Michinari Momma

Inventor： Shailesh Kumar ,  Edmond Chow ,  Michinari Momma

IPC: G06F17/30

CPC classification number: G06Q30/06 ,  G06Q10/04 ,  G06Q10/06 ,  G06Q30/02 ,  G06Q30/0201 ,  G06Q30/0202 ,  G06Q30/0204 ,  G06Q30/0224 ,  G06Q30/0605

Abstract: The invention, referred to herein as PeaCoCk, uses a unique blend of technologies from statistics, information theory, and graph theory to quantify and discover patterns in relationships between entities, such as products and customers, as evidenced by purchase behavior. In contrast to traditional purchase-frequency based market basket analysis techniques, such as association rules which mostly generate obvious and spurious associations, PeaCoCk employs information-theoretic notions of consistency and similarity, which allows robust statistical analysis of the true, statistically significant, and logical associations between products. Therefore, PeaCoCk lends itself to reliable, robust predictive analytics based on purchase-behavior.

Abstract translation: 本发明在本文中称为PeaCoCk，使用来自统计学，信息理论和图形理论的独特技术融合来量化和发现实体（例如产品和客户）之间的关系中的模式，如购买行为所证明的。 与传统的基于购买频率的市场篮子分析技术（如大多数产生明显和虚假关联的关联规则）相反，PeaCoCk采用信息理论的一致性和相似性概念，这使得对真实的，统计上显着的和合乎逻辑的逻辑分析 产品之间的关联。 因此，PeaCoCk可以根据购买行为进行可靠，强大的预测分析。

公开(公告)号：US20250098179A1

公开(公告)日：2025-03-20

申请号：US18467984

申请日：2023-09-15

Applicant: Abhishek A. Sharma ,  Van H. Le ,  Fatih Hamzaoglu ,  Juan G. Alzate-Vinasco ,  Nikhil Jasvant Mehta ,  Vinaykumar Hadagali ,  Yu-Wen Huang ,  Honore Djieutedjeu ,  Tahir Ghani ,  Timothy Jen ,  Shailesh Kumar Madisetti ,  Jisoo Kim ,  Wilfred Gomes ,  Kamal Baloch ,  Vamsi Evani ,  Christopher Wiegand ,  James Pellegren ,  Sagar Suthram ,  Christopher M. Pelto ,  Gwang Soo Kim ,  Babita Dhayal ,  Prashant Majhi ,  Anand Iyer ,  Anand S. Murthy ,  Pushkar Sharad Ranade ,  Pooya Tadayon ,  Nitin A. Deshpande

Inventor： Abhishek A. Sharma ,  Van H. Le ,  Fatih Hamzaoglu ,  Juan G. Alzate-Vinasco ,  Nikhil Jasvant Mehta ,  Vinaykumar Hadagali ,  Yu-Wen Huang ,  Honore Djieutedjeu ,  Tahir Ghani ,  Timothy Jen ,  Shailesh Kumar Madisetti ,  Jisoo Kim ,  Wilfred Gomes ,  Kamal Baloch ,  Vamsi Evani ,  Christopher Wiegand ,  James Pellegren ,  Sagar Suthram ,  Christopher M. Pelto ,  Gwang Soo Kim ,  Babita Dhayal ,  Prashant Majhi ,  Anand Iyer ,  Anand S. Murthy ,  Pushkar Sharad Ranade ,  Pooya Tadayon ,  Nitin A. Deshpande

IPC: H10B80/00 ,  H01L23/00 ,  H01L25/00 ,  H01L25/065 ,  H01L25/18

Abstract: An IC device may include a CMOS layer and memory layers at the frontside and backside of the CMOS layer. The CMOS layer may include one or more logic circuits with MOSFET transistors. The CMOS layer may also include memory cells, e.g., SRAM cells. A memory layer may include one or more memory arrays. A memory array may include memory cells (e.g., DRAM cells), bit lines, and word lines. A logic circuit in the CMOS layer may control access to the memory cells. A memory layer may be bonded with the CMOS layer through a bonding layer that includes conductive structures coupled to a logic circuit in the CMOS layer or to bit lines or word lines in the memory layer. An additional conductive structure may be at the backside of a MOSFET transistor in the CMOS layer and coupled to a conductive structure in the bonding layer.