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.

Measuring Individual Differences in the Tendency to Forgive: Construct Validity and Links with Depression

Abstract: Four studies examine the construct validity of the Tendency to Forgive Scale (TTF), a brief measure of dispositional forgiveness. Study 1 showed that romantic partners' ratings of targets converged with targets' self-ratings, and Study 2 demonstrated that higher scores on the TTF were associated with lower offense accessibility. Study 3 examined the TTF's relation to self-reported depression symptoms, both independent of and interacting with attitudes toward forgiveness and dispositional vengeance. Lower TTF scores were associated with higher degrees of depression, especially for individuals with positive attitudes toward forgiveness or those low in dispositional vengeance, although neither of these latter variables displayed significant zero-order relations with depression. Finally, Study 4 examined relations between the TTF, dispositional empathy, another recent measure of dispositional forgiveness, and the dimensions of the Big Five, providing both convergent and discriminant validity evidence for the TTF.

Topological cell clustering in the ATLAS calorimeters and its performance in LHC Run 1

Abstract: The reconstruction of the signal from hadrons and jets emerging from the proton–proton collisions at the Large Hadron Collider (LHC) and entering the ATLAS calorimeters is based on a three-dimensional topological clustering of individual calorimeter cell signals. The cluster formation follows cell signal-significance patterns generated by electromagnetic and hadronic showers. In this, the clustering algorithm implicitly performs a topological noise suppression by removing cells with insignificant signals which are not in close proximity to cells with significant signals. The resulting topological cell clusters have shape and location information, which is exploited to apply a local energy calibration and corrections depending on the nature of the cluster. Topological cell clustering is established as a well-performing calorimeter signal definition for jet and missing transverse momentum reconstruction in ATLAS.

National Mosaic and Multi-Sensor QPE (NMQ) System: Description, Results, and Future Plans

Abstract: The National Mosaic and Multi-sensor QPE (Quantitative Precipitation Estimation), or “NMQ”, system was initially developed from a joint initiative between the National Oceanic and Atmospheric Administration's National Severe Storms Laboratory, the Federal Aviation Administration's Aviation Weather Research Program, and the Salt River Project. Further development has continued with additional support from the National Weather Service (NWS) Office of Hydrologic Development, the NWS Office of Climate, Water, and Weather Services, and the Central Weather Bureau of Taiwan. The objectives of NMQ research and development (R&D) are 1) to develop a hydrometeorological platform for assimilating different observational networks toward creating high spatial and temporal resolution multisensor QPEs for f lood warnings and water resource management and 2) to develop a seamless high-resolution national 3D grid of radar reflectivity for severe weather detection, data assimilation, numerical weather prediction model verif...