Browsing OU - Dissertations by Title
Now showing items 8880-8899 of 9317
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u-vinylidene and n-1-cyclopropenyliron complexes :
(1985)The reaction chemistry of the bridging vinylidene iron dimers was explored and the chemistry of the double bond proved to be the most fertile. The bridging vinylidene was converted to the bridging alkylidene by protonation ... -
U.S. TARIFF COMMISSION ADMINISTRATION OF THE 'ESCAPE-CLAUSE' IN FOREIGN TRADE AGREEMENTS.
(The University of Oklahoma., 1963) -
Ultra-low cross polarization antenna architectures for multi-function planar phased arrays
(2021-08-05)For over thirty years, single-beam mechanically steered radars have dominated the field of atmospheric observations, and since then, newer improved technologies have emerged that could provide a replacement for aging radars. ... -
Ultra-miniaturized and high-Q embedded loaded coaxial cavity resonators and filters
(2023-05-12)The rapid development in modern wireless communication systems and remote sensing and their applications towards portable and compact systems are inevitable. Microwave filters are critical components in the RF front-ends ... -
Ultragiant aerosol growth by collection within a warm continental cumulus congestus.
(1998)Results suggest that UGA are only marginally important for warm rain formation in a short-lived cloud such as that studied here. Although the cloud has a very high liquid water content $\rm ({>} 5\ g\ m\sp{-3})$ and the ... -
An ultrastructural investigation of body wall components in Porocephalus crotali (Pentastomida) /
(The University of Oklahoma., 1971) -
An Ultraviolet Survey of the DA White Dwarf Population of the Galaxy
(2023-08-04)DA white dwarfs are the most common type of white dwarf in our Galaxy. Hence, it is important to study the DA white dwarf population as thoroughly as possible. In this dissertation, I present our work using the Galaxy ... -
Ultrawideband antenna solutions for weather radar applications
(2023-12-15)The success of future multi-functional communication, radar, sensing, and countermeasure systems heavily rely on ultrawideband (UWB) antennas. UWB antennas have a very high demand in electromagnetic compatibility (EMC) ... -
Um√≥onƠ ̜ith√ʻthƠe̜, Um√≥onƠ ̜bthinƠ ̜=
(2003)The creation of an indigenous language program at the University of Nebraska is the impetus for this study. It is informed by the local and national movement in native language revival and maintenance. This study examines ... -
(Un)decidable Stereotypes: Anti-Racist Satire in Popular American Literature from the Late Nineteenth Century to the Mid-Twentieth Century
(2022-05-13)This dissertation examines the satirical strategy that employs racial stereotypes to critique racism. I read the work of Mark Twain, Bret Harte, Charles W. Chesnutt, Dorothy Parker, and Langston Hughes and explore how this ... -
UnBranding: Disenfranchising Terrorism and Disenchanting Terrorists
(2022-12-16)This research addresses the perceived problem that past and current VEO engagement programs have been ineffective in achieving their original goals. It introduces a new approach to disenchant extremism and disenfranchise ... -
Unbridling Barriers to Communication: Saddling Mand Training & EAAT Therapy Together
(2020-05-08)This study reviews the current research on applied behavior analysis (ABA) and equine-assisted activity and therapy (EAAT) for individuals with autism spectrum disorder (ASD) on verbal communication behavior. Research on ... -
Uncertainty and sensitivity analysis in support vector machines: Robust optimization and uncertain programming approaches.
(2006)Noisy or uncertain data are common in machine learning and data mining applications. Noisy data can significantly affect the behavior of data mining and machine learning algorithms. Robust optimization and sensitivity ... -
Uncertainty, policy implementation, and the 2012 Louisiana coastal master plan
(2020-12)The 2012 Coastal Master Plan is the first iteration of the on-going coastal master planning process the state of Louisiana is implementing in an effort to reduce and/or prevent the loss of valuable wetlands along the state’s ... -
Unconstrained Learning Machines
(2010)With the use of information technology in industries, a new need has arisen in analyzing large scale data sets and automating data analysis that was once performed by human intuition and simple analog processing machines. ... -
Uncovering the Potential of Federated Learning: Addressing Algorithmic and Data-driven Challenges under Privacy Restrictions
(2023-12-15)Federated learning is a groundbreaking distributed machine learning paradigm that allows for the collaborative training of models across various entities without directly sharing sensitive data, ensuring privacy and ...