Institution
University of Oklahoma
Education•Norman, 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.
Topics: Population, Radar, Large Hadron Collider, Poison control, Higgs boson
Papers published on a yearly basis
Papers
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TL;DR: A review of the evidence relating to these theories provided by studies of c.n.s. and a.m. psychophysiology, subjective affect, conditioning and attention and performance can be found in this article.
441 citations
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Michigan State University1, Oak Ridge National Laboratory2, Purdue University3, Brown University4, Marine Biological Laboratory5, University of Illinois at Urbana–Champaign6, Colorado State University7, United States Department of Agriculture8, University of California, Davis9, Iowa State University10, Ecological Society of America11, Amazon.com12, Agricultural Research Service13, University of Wisconsin-Madison14, University of São Paulo15, H. John Heinz III Center for Science, Economics and the Environment16, Oklahoma State University–Stillwater17, University of Arkansas18, University of Oklahoma19, Institute of Ecosystem Studies20, University of Nebraska–Lincoln21
TL;DR: Science-based policy is essential for guiding an environmentally sustainable approach to cellulosic biofuels and it is important to have a strategy that acknowledges the role of science in promoting sustainability.
Abstract: Science-based policy is essential for guiding an environmentally sustainable approach to cellulosic biofuels.
441 citations
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TL;DR: The ischemia-induced reduction in heart rate despite continuation of exercise suggests the presence in the dogs that survived of active vagal reflexes that may have played an important role in the maintenance of cardiac electrical stability.
Abstract: The relationship between activity of the autonomic nervous system, myocardial ischemia, and malignant arrhythmias has been investigated in a new experimental preparation for sudden death. Fifty-seven dogs were chronically instrumented and studied under control conditions (n = 15) and 1 month after production of an anterior myocardial infarction (n = 42). The protocol consisted in occluding the left circumflex coronary artery for 2 min, commencing at the last minute of an exercise stress test and extending through the first minute after cessation of exercise. With this protocol, ventricular fibrillation was observed in 40% of normal dogs and 66% of dogs with infarction. In 14 dogs with infarction, left stellectomy reduced the incidence of ventricular fibrillation to zero (p less than .001). The reflex changes in heart rate elicited within the first minute of ischemia during exercise in the animals that survived (from 204 +/- 14 to 198 +/- 31 beats/min, -6) were opposite those in animals that had ventricular fibrillation (from 208 +/- 24 to 229 +/- 30 beats/min, +21) (p less than .05). The ischemia-induced reduction in heart rate despite continuation of exercise suggests the presence in the dogs that survived of active vagal reflexes that may have played an important role in the maintenance of cardiac electrical stability. This preparation has the potential to induce ventricular fibrillation consistently in conscious animals by the interaction of a few clinically relevant factors (acute myocardial ischemia, submaximal exercise and its cessation, sympathetic and vagal reflexes, and heart rate) and offers the possibility of acquiring further insights into the mechanisms of malignant arrhythmias and evaluating novel strategies for targeted prevention.
441 citations
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TL;DR: In this article, the performance of the ATLAS muon identification and reconstruction using the first LHC dataset recorded at s√ = 13 TeV in 2015 was evaluated using the Monte Carlo simulations.
Abstract: This article documents the performance of the ATLAS muon identification and reconstruction using the first LHC dataset recorded at s√ = 13 TeV in 2015. Using a large sample of J/ψ→μμ and Z→μμ decays from 3.2 fb−1 of pp collision data, measurements of the reconstruction efficiency, as well as of the momentum scale and resolution, are presented and compared to Monte Carlo simulations. The reconstruction efficiency is measured to be close to 99% over most of the covered phase space (|η| 2.2, the pT resolution for muons from Z→μμ decays is 2.9% while the precision of the momentum scale for low-pT muons from J/ψ→μμ decays is about 0.2%.
440 citations
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TL;DR: In this paper, two different high-resolution configurations of the Weather Research and Forecasting-Advanced Research WRF (WRF-ARW) model were used to produce 30-h forecasts 5 days a week for a total of 7 weeks.
Abstract: During the 2005 NOAA Hazardous Weather Testbed Spring Experiment two different high-resolution configurations of the Weather Research and Forecasting-Advanced Research WRF (WRF-ARW) model were used to produce 30-h forecasts 5 days a week for a total of 7 weeks. These configurations used the same physical parameterizations and the same input dataset for the initial and boundary conditions, differing primarily in their spatial resolution. The first set of runs used 4-km horizontal grid spacing with 35 vertical levels while the second used 2-km grid spacing and 51 vertical levels. Output from these daily forecasts is analyzed to assess the numerical forecast sensitivity to spatial resolution in the upper end of the convection-allowing range of grid spacing. The focus is on the central United States and the time period 18–30 h after model initialization. The analysis is based on a combination of visual comparison, systematic subjective verification conducted during the Spring Experiment, and objectiv...
440 citations
Authors
Showing all 25490 results
Name | H-index | Papers | Citations |
---|---|---|---|
Ronald C. Kessler | 274 | 1332 | 328983 |
Michael A. Strauss | 185 | 1688 | 208506 |
Derek R. Lovley | 168 | 582 | 95315 |
Ashok Kumar | 151 | 5654 | 164086 |
Peter J. Schwartz | 147 | 647 | 107695 |
Peter Buchholz | 143 | 1181 | 92101 |
Robert Hirosky | 139 | 1697 | 106626 |
Elizabeth Barrett-Connor | 138 | 793 | 73241 |
Brad Abbott | 137 | 1566 | 98604 |
Lihong V. Wang | 136 | 1118 | 72482 |
Itsuo Nakano | 135 | 1539 | 97905 |
Phillip Gutierrez | 133 | 1391 | 96205 |
P. Skubic | 133 | 1573 | 97343 |
Elizaveta Shabalina | 133 | 1421 | 92273 |
Richard Brenner | 133 | 1108 | 87426 |