John W Mccarty

US Patent:

20070128589, Jun 7, 2007

Filed:

Jul 13, 2006

Appl. No.:

11/487141

Inventors:

Mitchell Sanders - West Boylston MA, US
Diane Ellis-Busby - Lancaster MA, US
Jennifer Havard - Framingham MA, US
John McCarty - Lyndonville VT, US

International Classification:

C12Q 1/70
C12Q 1/66
C12Q 1/37

US Classification:

435005000, 435008000, 435023000

Abstract:

Described herein are substrates, methods, articles, and kits that are useful for detecting a condition in a female mammal. The substrates interact with one or more proteins (e.g., an enzyme) produced by a microorganism or the female animal. The substrates are labelled in order to produce a visible signal (e.g., a fluorescent glow and/or a visible change in color or hue) when modified by a protein produced by a microorganism of interest. The visible signal is used to assess a condition in the female mammal.

US Patent:

20190177008, Jun 13, 2019

Filed:

Dec 13, 2017

Appl. No.:

15/839933

Inventors:

- Chicago IL, US
Brent Louis Hadley - Kent WA, US
Robert James Martin - Tukwila WA, US
John Timothy McCarty - Bonney Lake WA, US
Patrick J. Eames - Seattle WA, US

Assignee:

THE BOEING COMPANY - Chicago IL

International Classification:

B64F 5/40
B64F 5/60
G06F 17/30
G06Q 10/00
G06F 3/048

Abstract:

A system for supporting maintenance of an aircraft is provided. The system includes a plurality of database importers. The database importers import a plurality of datasets from a plurality of data sources to a database with a composite dataset including data of the plurality of datasets. The system also includes a database-management system (DBMS) to manage the database. The system further includes a client application coupled to the DBMS. The client application receives a user request for a demand for replacement aircraft parts for maintenance during an in-service lifecycle of the aircraft. In response to the user request, the client application predicts and thereby produces a prediction of the demand based on the data retrieved from the composite dataset.