Qing Xiang Wang

US Patent:

20050112786, May 26, 2005

Filed:

Nov 25, 2003

Appl. No.:

10/723923

Inventors:

Qing Wang - Hollis Hills NY, US
Daniel Levine - Briarcliff Manor NY, US
Thomas Parker - Brooklyn NY, US

International Classification:

G01N033/553

US Classification:

436526000

Abstract:

Methods are described for attaching molecules to a solid phase, such as a magnetic bead. Free amine groups on the solid surface react with a molecule that contains a sulfhydryl group. The sulfhydryl group may, but need not be protected. The molecule is then reacted with a conjugate of linker and ligand. The liner has a reactive maleimide or sulfhydryl group which reacts with the molecule on the solid phase.

US Patent:

20050233475, Oct 20, 2005

Filed:

May 10, 2005

Appl. No.:

11/126527

Inventors:

Qing Wang - New York NY, US
Daniel Levine - Briarcliff Manor NY, US
Thomas Parker - Brooklyn NY, US

International Classification:

G01N033/553

US Classification:

436526000

Abstract:

Methods are described for attaching molecules to a solid phase, such as a magnetic bead. Reactive groups on the solid surface react with a molecule that contains a sulfhydryl group. The sulfhydryl group may, but need not be protected. The molecule is then reacted with a conjugate and ligand. The linker has a reactive group, such as a maleimido group, which reacts with sulfhydryl, and also contains a ligand, such as an antibiotic, antibody, aptamer, or other molecule of interest. The invention also involves methods for quantifying usable reactive groups on a solid phase, where the sulfhydryl group containing moiety is bound, and measured. The first step of the reaction, and preferably the second step as well, take place in non-aqueous, aprotic solvent.

US Patent:

20130266032, Oct 10, 2013

Filed:

Apr 5, 2013

Appl. No.:

13/857810

Inventors:

Bing XU - Bayside NY, US
Qing Wang - Plainsboro NJ, US
Chuni Ghosh - West Windsor NJ, US

Assignee:

RealD Inc. - Beverly Hills CA

International Classification:

H01S 5/42
H01S 5/06

US Classification:

372 22

Abstract:

Disclosed herein are architectures for an external cavity laser. In some embodiments, the external cavity laser includes vertical cavity surface emitting laser (VCSEL) elements, a Brewster plate, frequency doubling chips, and a microlens array. The Brewster plate is arranged at an angle relative to the light path, and is configured to polarize at least the light received from the VCSELs and propagating on the light path in a first direction, and extract, from the external cavity, frequency-doubled light propagating on the light path in a second direction opposite to the first direction. The doubling chips are operable to receive the light and double the frequency of a portion of the received light. The microlens array is aligned with the VCSEL elements. A mount may be employed to mount the side stack of doubling chips by either side mounting or end mounting.

US Patent:

20210084059, Mar 18, 2021

Filed:

Sep 14, 2019

Appl. No.:

16/571088

Inventors:

- Armonk NY, US
Larisa Shwartz - Greenwich CT, US
Rohit Madhukar Khandekar - Jersey City NJ, US
Qing Wang - Ossining NY, US
Bing Zhou - Port Jefferson Station NY, US

International Classification:

H04L 29/06
G06N 3/08
G06F 16/901
H04L 12/26

Abstract:

A computer system, non-transitory computer storage medium, and a computer-implemented method of assessing technical risk using visual pattern recognition in an Information Technology (IT) Service Management System. A data visualization engine and a time series generation engine receive the operational data, respectively. A first representation of the data is generated by the data visualization engine, and a second representation of the data is generated by the time series generation engine. Anomaly patterns are identified by a pattern recognition engine configured to perform feature extraction and data transformation. An ensembler is configured to accept the outputs from two AI anomaly engines and make a final decision of whether anomaly patterns are captured. Risk scores based on the identified anomaly patterns are output by a pattern recognition engine to an automated management system. The anomalies includes information regarding vulnerabilities of devices or components of the IT Service Management System.