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Institution

University of Oklahoma

EducationNorman, Oklahoma, United States
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.


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Journal ArticleDOI
TL;DR: This paper examined judgmental effects of the balanced scorecard's organization and found that performance evaluations are affected by organizing the measures into balanced scorecards when multiple below-target (or above-target) measures are contained within a category but that evaluations are not affected when the above/below-target measures are distributed across the scorecard’s four categories.
Abstract: We examine judgmental effects of the balanced scorecard’s organization. The balanced scorecard contains a large number of performance measures divided into four categories. We examine whether the scorecard’s organization results in managerial performance evaluation judgments consistent with a recognition of the potential relations (i.e. nonindependence) of measures within a category. Supporting this idea, we find that performance evaluations are affected by organizing the measures into the balanced scorecard categories when multiple below-target (or above-target) measures are contained within a category but that evaluations are not affected when the above/below-target measures are distributed across the scorecard’s four categories. # 2002 Elsevier Science Ltd. All rights reserved.

294 citations

Journal ArticleDOI
Jalal Abdallah1, Henrique Araujo2, Alexandre Arbey3, Alexandre Arbey4, Alexandre Arbey5, Adi Ashkenazi6, Alexander Belyaev7, Joshua Berger8, Celine Boehm9, Antonio Boveia4, Amelia Jean Brennan10, James John Brooke, Oliver Buchmueller2, Matthew R. Buckley11, Giorgio Busoni12, Lorenzo Calibbi13, Lorenzo Calibbi14, Sushil Chauhan15, Nadir Daci16, Gavin Davies2, Isabelle De Bruyn16, Paul De Jong, Albert De Roeck4, Kees de Vries2, D. Del Re, Andrea De Simone12, Andrea Di Simone17, Caterina Doglioni18, Matthew J. Dolan8, Herbi K. Dreiner19, John Ellis20, John Ellis4, Sarah Catherine Eno21, Erez Etzion6, Malcolm Fairbairn20, Brian Feldstein22, Henning Flaecher, Eric Feng23, Patrick J. Fox24, Marie-Helene Genest25, Loukas Gouskos26, Johanna Gramling18, Ulrich Haisch22, Ulrich Haisch4, Roni Harnik24, Anthony Hibbs22, Siewyan Hoh27, W. Hopkins28, Valerio Ippolito29, Thomas Jacques18, Felix Kahlhoefer, Valentin V. Khoze9, Russell Kirk30, Andreas Korn31, Khristian Kotov32, Shuichi Kunori33, Greg Landsberg34, Sebastian Liem35, Tongyan Lin36, Steven Lowette16, Robyn Lucas37, Robyn Lucas2, Luca Malgeri4, Sarah Malik2, Christopher McCabe9, Christopher McCabe35, Alaettin Serhan Mete38, Enrico Morgante18, Stephen Mrenna24, Yu Nakahama39, Yu Nakahama4, Dave M Newbold, Karl Nordström40, Priscilla Pani, Michele Papucci41, Michele Papucci42, Sophio Pataraia, Bjoern Penning36, Deborah Pinna43, Giacomo Polesello, Davide Racco18, Emanuele Re22, Antonio Riotto18, Thomas G. Rizzo8, David Salek35, Subir Sarkar22, S. Schramm44, P. Skubic45, Oren Slone6, Juri Smirnov46, Yotam Soreq47, T. J. Sumner2, Tim M. P. Tait38, Marc Thomas7, Marc Thomas37, Ian R Tomalin37, C. Tunnell, Alessandro Vichi4, Tomer Volansky6, Neal Weiner48, Stephen M. West30, Monika Wielers37, Steven Worm37, Itay Yavin49, Itay Yavin50, Bryan Zaldivar13, Ning Zhou38, Kathryn M. Zurek41, Kathryn M. Zurek42 
TL;DR: In this article, a set of simplified models for dark matter and its interactions with the Standard Model particles are presented, and the guiding principles underpinning these simplified models are spelled out, and some suggestions for implementation are presented.
Abstract: This document outlines a set of simplified models for dark matter and its interactions with Standard Model particles. It is intended to summarize the main characteristics that these simplified models have when applied to dark matter searches at the LHC, and to provide a number of useful expressions for reference. The list of models includes both s-channel and t-channel scenarios. For s-channel, spin-0 and spin-1 mediation is discussed, and also realizations where the Higgs particle provides a portal between the dark and visible sectors. The guiding principles underpinning the proposed simplified models are spelled out, and some suggestions for implementation are presented.

294 citations

Journal ArticleDOI
TL;DR: P-sel–Ig treatment could become a new approach to sustained control of bleeding in hemophilia by inducing formation of procoagulant microparticles in human blood through P-selectin glycoprotein ligand-1 (PSGL-1; encoded by the Psgl1 gene, officially known as Selpl).
Abstract: High plasma levels of soluble P-selectin are associated with thrombotic disorders and may predict future cardiovascular events. Mice with high levels of soluble P-selectin have more microparticles in their plasma than do normal mice. Here we show that chimeras of P-selectin and immunoglobulin (P-sel–Ig) induced formation of procoagulant microparticles in human blood through P-selectin glycoprotein ligand-1 (PSGL-1; encoded by the Psgl1 gene, officially known as Selpl). In addition, Psgl1−/− mice produced fewer microparticles after P-sel–Ig infusion and did not spontaneously increase their microparticle count in old age as do wild-type mice. Injected microparticles specifically bound to thrombi and thus could be involved in thrombin generation at sites of injury. Infusion of P-sel–Ig into hemophilia A mice produced a 20-fold increase over control immunoglobulin in microparticles containing tissue factor. This significantly improved the kinetics of fibrin formation in the hemophilia A mice and normalized their tail-bleeding time. P-sel–Ig treatment could become a new approach to sustained control of bleeding in hemophilia.

294 citations

Journal ArticleDOI
Georges Aad1, T. Abajyan2, Brad Abbott3, J. Abdallah4  +2914 moreInstitutions (169)
TL;DR: In this article, the jet energy scale and its systematic uncertainty are determined for jets measured with the ATLAS detector using proton-proton collision data with a centre-of-mass energy of [Formula: see text]TeV corresponding to an integrated luminosity of [formula] see text][formula:see text].
Abstract: The jet energy scale (JES) and its systematic uncertainty are determined for jets measured with the ATLAS detector using proton-proton collision data with a centre-of-mass energy of [Formula: see text] TeV corresponding to an integrated luminosity of [Formula: see text][Formula: see text]. Jets are reconstructed from energy deposits forming topological clusters of calorimeter cells using the anti-[Formula: see text] algorithm with distance parameters [Formula: see text] or [Formula: see text], and are calibrated using MC simulations. A residual JES correction is applied to account for differences between data and MC simulations. This correction and its systematic uncertainty are estimated using a combination of in situ techniques exploiting the transverse momentum balance between a jet and a reference object such as a photon or a [Formula: see text] boson, for [Formula: see text] and pseudorapidities [Formula: see text]. The effect of multiple proton-proton interactions is corrected for, and an uncertainty is evaluated using in situ techniques. The smallest JES uncertainty of less than 1 % is found in the central calorimeter region ([Formula: see text]) for jets with [Formula: see text]. For central jets at lower [Formula: see text], the uncertainty is about 3 %. A consistent JES estimate is found using measurements of the calorimeter response of single hadrons in proton-proton collisions and test-beam data, which also provide the estimate for [Formula: see text] TeV. The calibration of forward jets is derived from dijet [Formula: see text] balance measurements. The resulting uncertainty reaches its largest value of 6 % for low-[Formula: see text] jets at [Formula: see text]. Additional JES uncertainties due to specific event topologies, such as close-by jets or selections of event samples with an enhanced content of jets originating from light quarks or gluons, are also discussed. The magnitude of these uncertainties depends on the event sample used in a given physics analysis, but typically amounts to 0.5-3 %.

294 citations

Journal ArticleDOI
TL;DR: In this article, a line-by-line differential abundance comparison of HD 115444 with the bright, well-studied halo giant HD 122563 has been conducted, emphasizing the neutron-capture elements.
Abstract: New high-resolution, very high signal-to-noise spectra of ultra-metal-poor (UMP) giant stars HD 115444 and HD 122563 have been gathered with the High-Resolution Echelle Spectrometer of the McDonald Observatory 2.7 m telescope. With these spectra, line identification and model atmosphere analyses have been conducted, emphasizing the neutron-capture elements. Twenty elements with Z > 30 have been identified in the spectrum of HD 115444. This star is known to have overabundances of the neutron-capture elements, but it has lacked a detailed analysis necessary to compare with nucleosynthesis predictions. The new study features a line-by-line differential abundance comparison of HD 115444 with the bright, well-studied halo giant HD 122563. For HD 115444, the overall metallicity is [Fe/H] -3.0. The abundances of the light and iron-peak elements generally show the same pattern as other UMP stars (e.g., overdeficiencies of manganese and chromium, overabundances of cobalt), but the differential analysis indicates several nucleosynthesis signatures that are unique to each star. Synthetic spectrum analyses reveal substantial overabundances of the heavier neutron-capture elements (Z ≥ 56; elements barium and beyond) in HD 115444. Thus with [Eu/Fe] +0.9, for example, HD 115444 is a moderate version of the extremely neutron-capture-rich UMP giant CS 22892-052 ([Fe/H] -3.1, [Eu/Fe] +1.7). The abundance pattern of the heavier neutron-capture elements is consistent with scaled solar system r-process-only abundances (with little contribution from the s-process). In HD 115444, [Ba/Eu] = -0.73, while in CS 22892-052 this ratio is -0.79. Thus HD 115444 becomes the second UMP r-process-rich halo giant unambiguously identified from a very detailed abundance analysis. Abundances of the lighter neutron-capture elements strontium, yttrium, and zirconium are, however, nearly identical in HD 115444 and HD 122563. Along with the heavier neutron-capture elements, the 4019 A line of Th II has been detected in HD 115444, yielding log e(Th) = -2.23 ± 0.07. Comparing the observed thorium abundance in HD 115444, along with CS 22892-052, with other theoretical estimates of the time-zero abundance suggests an age for both of these UMP stars of 15.6 ± 4 Gyr, consistent with previous radioactive age estimates for CS 22892-052 and other Galactic and cosmological age determinations.

294 citations


Authors

Showing all 25490 results

NameH-indexPapersCitations
Ronald C. Kessler2741332328983
Michael A. Strauss1851688208506
Derek R. Lovley16858295315
Ashok Kumar1515654164086
Peter J. Schwartz147647107695
Peter Buchholz143118192101
Robert Hirosky1391697106626
Elizabeth Barrett-Connor13879373241
Brad Abbott137156698604
Lihong V. Wang136111872482
Itsuo Nakano135153997905
Phillip Gutierrez133139196205
P. Skubic133157397343
Elizaveta Shabalina133142192273
Richard Brenner133110887426
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202392
2022348
20212,425
20202,481
20192,433
20182,396