University of Oklahoma

About: University of Oklahoma is a education organization based out in Norman, Oklahoma, United States. It is known for research contribution in the topics: Population & Radar. The organization has 25269 authors who have published 52609 publications receiving 1821706 citations. The organization is also known as: OU & Oklahoma University.

Atom based RF electric field sensing

Abstract: Atom-based measurements of length, time, gravity, inertial forces and electromagnetic fields are receiving increasing attention. Atoms possess properties that suggest clear advantages as self calibrating platforms for measurements of these quantities. In this review, we describe work on a new method for measuring radio frequency (RF) electric fields based on quantum interference using either Cs or Rb atoms contained in a dielectric vapor cell. Using a bright resonance prepared within an electromagnetically induced transparency window it is possible to achieve high sensitivities, <1 μV cm−1 Hz−1/2, and detect small RF electric fields μV cm−1 with a modest setup. Some of the limitations of the sensitivity are addressed in the review. The method can be used to image RF electric fields and can be adapted to measure the vector electric field amplitude. Extensions of Rydberg atom-based electrometry for frequencies up to the terahertz regime are described.

An Argument for Separate Analyses of Attitudes Toward Lesbian, Gay, Bisexual Men, Bisexual Women, MtF and FtM Transgender Individuals

Abstract: While past research has certainly investigated a variety of correlates of U.S. attitudes toward lesbians, gays, bisexual men, bisexual women, male-to-female (MtF) and female-to-male (FtM) transgender (LGBT) individuals, there are no U.S. quantitative studies that could be located that examined attitudes toward each of these groups separately. This is especially important because efforts to combat prejudices are likely to be most successful if they are based in research that explores how attitudes are both similar and different across specified targets of prejudice. Toward that goal, this essay underscores the significance of examining U.S. attitudes toward LGBT individuals as separate constructs. Both the gender and sexual orientation of the target of prejudice and the gender and sexual orientation of the respondent are highlighted as important constructs that should be considered when investigating U.S. attitudes toward LGBT individuals. First, I review previous U.S. studies that have examined attitudes toward LGBT individuals. Second, I offer arguments for how the intersections of gender and sexual orientation may affect attitudes toward LGBT individuals. Third, I discuss future considerations in studies of attitudes toward LGBT individuals in the context of multiple intersectionalities. I suggest that U.S. initiatives to reduce sexual stigma, gender nonconformity stigma, and transgender stigma should be grounded in research that highlights prejudicial attitudes as they vary by the target of prejudice and the respondents’ characteristics.

GSI 3DVar-Based Ensemble-Variational Hybrid Data Assimilation for NCEP Global Forecast System: Single-Resolution Experiments

Abstract: An ensemble Kalman filter–variational hybrid data assimilation system based on the gridpoint statistical interpolation (GSI) three-dimensional variational data assimilation (3DVar) system was developed. The performance of the system was investigated using the National Centers for Environmental Prediction (NCEP) Global Forecast System model. Experiments covered a 6-week Northern Hemisphere winter period. Both the control and ensemble forecasts were run at the same, reduced resolution. Operational conventional and satellite observations along with an 80-member ensemble were used. Various configurations of the system including one- or two-way couplings, with zero or nonzero weights on the static covariance, were intercompared and compared with the GSI 3DVar system. It was found that the hybrid system produced more skillful forecasts than the GSI 3DVar system. The inclusion of a static component in the background-error covariance and recentering the analysis ensemble around the variational analysis di...

The Promiscuous Life of Plant NUCLEAR FACTOR Y Transcription Factors

Abstract: The CCAAT box is one of the most common cis-elements present in eukaryotic promoters and is bound by the transcription factor NUCLEAR FACTOR Y (NF-Y). NF-Y is composed of three subunits, NF-YA, NF-YB, and NF-YC. Unlike animals and fungi, plants have significantly expanded the number of genes encoding NF-Y subunits. We provide a comprehensive classification of NF-Y genes, with a separation of closely related, but distinct, histone fold domain proteins. We additionally review recent experiments that have placed NF-Y at the center of many developmental stress-responsive processes in the plant lineage.

Application of differential quadrature to static analysis of structural components

Abstract: The numerical technique of differential quadrature for the solution of linear and non-linear partial differential equations, first introduced by Bellman and his associates, is applied to the equations governing the deflection and buckling behaviour of one- and two-dimensional structural components. Separate transformations are used for higher-order derivatives, as suggested by Mingle, thus extending the method to treat fourth-order equations and to include multiple, boundary conditions in the respective co-ordinate directions. Results are obtained for various boundary and loading conditions and are compared with existing exact and numerical solutions by other methods. The application of differential quadrature to this class of problems is seen to lead to accurate results with relatively small computational effort.