Agilent Technologies, Inc.

Yahoo! Inc.

Ntt Docomo, Inc.

Other

Hewlett-packard Company

Excalibur Ip, LLC

Hongfeng Yin

Kevin P Killeen

Joshua M Koran

Long-ji Lin

Christina Yip Chung

Daniel Sobek

Reid Alyn Brennen

Daniel Bernardo Roitman

Abhinav Gupta

Karen L Seaward

Gangqiang Li

Sally A Swedberg

Carol T Schembri

Timothy Beerling

Arthur Schleifer

Karla M Robotti

George H John

Pero Subasic

Richard Frankel

William H McAllister

Yoshikazu Akinaga

Roy D Rocklin

Thomas P Doherty

Zhenghua Ji

Sayandev Mukherjee

Hyung Sik Shin

Eric Lyster

Roger Slocum

Jing Cai

Ares Geovanos

Ronald Sujithan

Paul C Goodley

Yang Sun

Douglass McManigill

James Alexander Apffel, Jr

Hongche Liu

Robert R Holloway

Anand Madhavan

Uwe Effelsberg

Thor Miller Wilbanks

Qing Bai

Eric Leu

Catherine K Templin

Ganggiang Li

John A Chakel

Catherine Keely Templin

Majid Mohazzab

Jordy J Hsiao

Oscar G Potter

Catherine A Keely-Templin

Karsten G Kraiczek

A microfluidic check valve includes an inlet bore, an internal chamber, an outlet bore, and a disk freely movable in the chamber between an open position and a closed position. At the open position, the disk permits fluid to flow from the inlet bore, through the chamber, and to the outlet bore. At the closed position, the disk prevents fluid from flowing in the reverse direction from the chamber into the inlet bore. The check valve may be positioned in-line with a fluid conduit, and/or incorporated with various fluidic devices such as, for example, capillary tubes, fittings, and chromatography columns. The check valve is capable of withstanding high fluid pressures, while featuring a small swept volume, such as a nano-scale volume. The check valve may be utilized, for example, to prevent fluid back flow and isolate pressure pulses in fluid flow systems.

Microfluidic check valve and related devices and systems

A filter includes an inlet side, an outlet side, and a body. The body includes a first substrate that includes an array of inlet holes passing through the first substrate, and a second substrate that includes an array of outlet holes passing through the second substrate. The body further includes an intermediate region that includes a plurality of channels extending along a plane that is transverse or at an angle to a main axis of the filter. Each channel communicates directly or indirectly with at least one of the inlet holes and at least one of the outlet holes. The filter provides a plurality of fluid flow paths through the body from the inlet side to the outlet side.

Filters for liquid flow based devices and systems

A liquid chromatography (LC) column includes a wall having a length along a central axis from the inlet end to the outlet end, the wall enclosing a column interior and having a column radius relative to the central axis, the wall comprising a structured portion configured such that the column radius varies along the length; and a plurality of particles packed in the column interior, wherein at least some of the particles are in contact with the structured portion.

Liquid chromatography columns with structured walls

The present disclosure generally relates to improved methods for separating and analyzing compounds by liquid chromatography, particularly when coupled with mass spectrometry. The methods include the addition of an additive to a mobile phase carrying a sample. The mobile phase additive may be effective for improving peak shapes of targeted analytes in acquired data, and/or eliminating or at least reducing ion suppression. The methods are particularly suited for anionic compounds such as phosphorylated compounds.

Methods of liquid chromatography for anionic compounds

A system, a method, and a medium are provided to use Freebase as a source of structured data to construct a knowledge database with Resource Description Framework (RDF) triples and determine encoded entities responsive to structured queries.

Knowledge engine for managing massive complex structured data

A behavioral targeting system determines user profiles from online activity. The system includes a plurality of models that define parameters for determining a user profile score. Event information, which comprises on-line activity of the user, is received at an entity. To generate a user profile score, a model is selected. The model comprises recency, intensity and frequency dimension parameters. The behavioral targeting system generates a user profile score for a target objective, such as brand advertising or direct response advertising. The parameters from the model are applied to generate the user profile score in a category. The behavioral targeting system has application for use in ad serving to on-line users.

Behavioral targeting system

A behavioral targeting system determines user profiles from online activity. The system includes a plurality of models that define parameters for determining a user profile score. Event information, which comprises on-line activity of the user, is received at an entity. To generate a user profile score, is model is selected. The model comprises recency, intensity and frequency dimension parameters. The behavioral targeting system generates a user profile score for a target objective, such as brand advertising or direct response advertising. The parameters from the model are applied to generate the user profile score in a category. The behavioral targeting system has application for use in ad serving to on-line users.

Behavioral targeting system that generates user profiles for target objectives

A system and method is provided to analyze a database of concepts organized into categories, wherein each concept is an online textual document, to determine a numerical relationship between the concepts and to determine a hierarchy for the categories.

Generating resources for support of online services

A system and method is provided that processes a training database of human-generated requests in each of a plurality of task categories with a machine learning algorithm to develop a task classifier model that may be applied to subsequent user requests to determine the most likely one of the task categories for the subsequent user request.

Automatic task classification based upon machine learning

The present invention relates to an optical detection cell for micro-fluidics. The detection cell provides a first layer, a detection cell layer contacting the first layer, a third layer contacting the detection cell layer, a micro-fluidic chip having a fluidic port and a detection channel defined through the detection cell and being in fluid communication with the fluidic port of the chip, the detection channel serving as a light path for receiving light for detecting a molecule. Methods of detecting molecules and making the detection cell are also disclosed.

Optical detection cell with micro-fluidic chip

In accordance with the invention, a method for making microfluidic structures in bulk titanium is disclosed. Specific microfluidic structures include HPLC structures.

Micromachined titanium for high pressure microfluidic applications

Growing community of inventors

Cupertino, CA, United States of America

Hongfeng Yin