SHAREOK™ Repository
SHAREOK™ is the joint institutional repository for the University of Oklahoma (OU) and the University of Central Oklahoma (UCO). It serves as the home for the intellectual output of those institutions, such as: digital theses and dissertations, faculty publications, open access publications, open educational resources, institution-specific content and much more.
If you would like to place your works in the institutional repository, please contact your library: OU or UCO. Digital assets placed in the repository are available to a global audience, and search engine optimization techniques are used to increase their visibility to researchers and thus their impact on the global community.
If you are an OU student submitting a master’s thesis or doctoral dissertation to the Graduate College via SHAREOK™, please follow these instructions. For policies on embargoing your thesis or dissertation, please refer to the Graduate College Thesis/Dissertation Instruction Packet.
Communities in SHAREOKTM
Select a community to browse its collections.
Recently Added
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Examining The Impact Of Different Types Of Social Media Influencers On Attitudes, Trust & Purchase Intent: Travel User Generated Content
(2024-05-11)ABSTRACT This study examines the effects of Instagram nano, micro, and macro influencers on consumer’s brand and influencer attitudes, trust and purchase intent toward travel-related content. Using the Persuasion Knowledge ... -
Chemical Biology of Chromosome Segregation in Pseudomonas aeruginosa
(2024-05-10)Chromosome duplication and cell division are two critical events of a cell’s life cycle that occur with high precision across diverse environmental conditions. Inheriting a single copy of a chromosome by each daughter cell ... -
Running with Rosalie Fish: (Over)Laps in Rhetorical Race Spaces
(2024-05-10)Rosalie Fish (Cowlitz/Muckleshoot) is an activist who runs for The University of Washington and Missing and Murdered Indigenous Women. During her races, she dons red paint, and her body exists as a living archive, carrying ... -
Impacts of Multiscale Predictors on Random Forest Based Probabilistic Forecasts of Severe Weather Hazards
(2024-05-10)Machine learning (ML) algorithms utilized for post-processing of convection-allowing model/ensemble (CAM/CAE) output has been a major area of research to handle limitations with CAM/CAE forecasts. ML has been used to correct ... -
Information Theoretic Modeling of Antennas
(2024-05-10)Linear time-invariant (LTI) electrically small antennas (ESAs) have inherent limitations in their capabilities. Two significant limitations apply to LTI antennas: a lower bound on the antenna Q-factor, which causes a narrow ...