Patent number: 11963929
Abstract: Disclosed herein are glass pharmaceutical vials having sidewalls of reduced thickness. In embodiments, the glass pharmaceutical vial may include a glass body comprising a sidewall enclosing an interior volume. An outer diameter D of the glass body is equal to a diameter d1 of a glass vial of size X as defined by ISO 8362-1, wherein X is one of 2R, 3R, 4R, 6R, 8R, 10R, 15R, 20R, 25R, 30R, 50R, and 100R as defined by ISO 8362-1. However, the sidewall of the glass pharmaceutical vial comprises an average wall thickness Ti that is less than or equal to 0.85*s1, wherein s1 is a wall thickness of the glass vial of size X as defined by ISO 8362-1 and X is one of 2R, 3R, 4R, 6R, 8R, 10R, 15R, 20R, 25R, 30R, 50R, and 100R as defined by ISO 8362-1.
Type:
Grant
Filed:
May 2, 2023
Date of Patent:
April 23, 2024
Assignee:
CORNING INCORPORATED
Inventors:
Connor Thomas O'Malley, Sinue Gomez-Mower, Weirong Jiang, Joseph Michael Matusick, Christie Leigh McCarthy, Christy Lynn Chapman, John Stephen Peanasky, Shivani Rao Polasani, James Ernest Webb, Michael Clement Ruotolo, Jr., Bryan James Musk, Jared Seaman Aaldenberg, Eric Lewis Allington, Douglas Miles Noni, Jr., Amber Leigh Tremper, Kristen Dae Waight, Kevin Patrick McNelis, Patrick Joseph Cimo, Steven Edward DeMartino, Robert Anthony Schaut, Adam Robert Sarafian
Patent number: 11963928
Abstract: Disclosed herein are glass pharmaceutical vials having sidewalls of reduced thickness. In embodiments, the glass pharmaceutical vial may include a glass body comprising a sidewall enclosing an interior volume. An outer diameter D of the glass body is equal to a diameter d1 of a glass vial of size X as defined by ISO 8362-1, wherein X is one of 2R, 3R, 4R, 6R, 8R, 10R, 15R, 20R, 25R, 30R, 50R, and 100R as defined by ISO 8362-1. However, the sidewall of the glass pharmaceutical vial comprises an average wall thickness Ti that is less than or equal to 0.85*s1, wherein s1 is a wall thickness of the glass vial of size X as defined by ISO 8362-1 and X is one of 2R, 3R, 4R, 6R, 8R, 10R, 15R, 20R, 25R, 30R, 50R, and 100R as defined by ISO 8362-1.
Type:
Grant
Filed:
May 2, 2023
Date of Patent:
April 23, 2024
Assignee:
CORNING INCORPORATED
Inventors:
James Ernest Webb, Sinue Gomez-Mower, Weirong Jiang, Joseph Michael Matusick, Christie Leigh McCarthy, Connor Thomas O'Malley, John Stephen Peanasky, Shivani Rao Polasani, Steven Edward DeMartino, Michael Clement Ruotolo, Jr., Bryan James Musk, Jared Seaman Aaldenberg, Eric Lewis Allington, Douglas Miles Noni, Jr., Amber Leigh Tremper, Kristen Dae Waight, Kevin Patrick McNelis, Patrick Joseph Cimo, Christy Lynn Chapman, Robert Anthony Schaut, Adam Robert Sarafian
Publication number: 20240127367
Abstract: A crop prediction system performs various machine learning operations to predict crop production and to identify a set of farming operations that, if performed, optimize crop production. The crop prediction system uses crop prediction models trained using various machine learning operations based on geographic and agronomic information. Responsive to receiving a request from a grower, the crop prediction system can access information representation of a portion of land corresponding to the request, such as the location of the land and corresponding weather conditions and soil composition. The crop prediction system applies one or more crop prediction models to the access information to predict a crop production and identify an optimized set of farming operations for the grower to perform.
Type:
Application
Filed:
August 25, 2023
Publication date:
April 18, 2024
Inventors:
David Patrick Perry, Geoffrey Albert von Maltzahn, Robert Berendes, Eric Michael Jeck, Barry Loyd Knight, Rachel Ariel Raymond, Ponsi Trivisvavet, Justin Y H Wong, Neal Hitesh Rajdev, Marc-Cedric Joseph Meunier, Casey James Leist, Pranav Ram Tadi, Andrea Lee Flaherty, Charles David Brummitt, Naveen Neil Sinha, Jordan Lambert, Jonathan Hennek, Carlos Becco, Mark Allen, Daniel Bachner, Fernando Derossi, Ewan Lamont, Rob Lowenthal, Dan Creagh, Steve Abramson, Ben Allen, Jyoti Shankar, Chris Moscardini, Jeremy Crane, David Weisman, Gerard Keating, Lauren Moores, William Pate