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 selective qualitative review of affect, emotions, and emotional competencies in leadership theory and research published in ten management and organizational psychology journals, book chapters and special issues of journals from 1990 to 2010 is presented in this article.
Abstract: This paper presents a selective, qualitative review of affect, emotions, and emotional competencies in leadership theory and research published in ten management and organizational psychology journals, book chapters and special issues of journals from 1990 to 2010. Three distinct themes emerged from this review: (1) leader affect, follower affect and outcomes, (2) discrete emotions and leadership, and (3) emotional competencies and leadership. Within each of these themes, we examine theory (construct definition and theoretical foundation) and methods (design, measurement and context) and summarize key findings. Our findings indicate that the study of affect and emotions in leadership fares well with regard to construct definitions across the first two themes, but not in the last theme above. Design and measurement issues across all three themes are a little less advanced. One serious gap is in a lack of focus on levels-of-analysis theoretically and methodologically. Our review concludes with recommendations for future theoretical and empirical work in this area.
370 citations
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TL;DR: A general mathematical framework to quantify ecological stochasticity under different situations in which deterministic factors drive the communities more similar or dissimilar than null expectation is proposed.
Abstract: Understanding the community assembly mechanisms controlling biodiversity patterns is a central issue in ecology. Although it is generally accepted that both deterministic and stochastic processes play important roles in community assembly, quantifying their relative importance is challenging. Here we propose a general mathematical framework to quantify ecological stochasticity under different situations in which deterministic factors drive the communities more similar or dissimilar than null expectation. An index, normalized stochasticity ratio (NST), was developed with 50% as the boundary point between more deterministic ( 50%) assembly. NST was tested with simulated communities by considering abiotic filtering, competition, environmental noise, and spatial scales. All tested approaches showed limited performance at large spatial scales or under very high environmental noise. However, in all of the other simulated scenarios, NST showed high accuracy (0.90 to 1.00) and precision (0.91 to 0.99), with averages of 0.37 higher accuracy (0.1 to 0.7) and 0.33 higher precision (0.0 to 1.8) than previous approaches. NST was also applied to estimate stochasticity in the succession of a groundwater microbial community in response to organic carbon (vegetable oil) injection. Our results showed that community assembly was shifted from more deterministic (NST = 21%) to more stochastic (NST = 70%) right after organic carbon input. As the vegetable oil was consumed, the community gradually returned to be more deterministic (NST = 27%). In addition, our results demonstrated that null model algorithms and community similarity metrics had strong effects on quantifying ecological stochasticity.
370 citations
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TL;DR: This book suggests that, if the authors were to examine the evolutionary process on an imaginary earth-like planet, Threga IX, situated far away from us, possibly in another galaxy, they would probably find beings very much like us living there, in direct contrast to the belief of Stephen Jay Gould.
Abstract: This book is written by a Professor of Evolutionary Biology who is also a convinced evangelical Christian. Page after page of intriguing scientific facts are built together to support Conway Morris’s central thesis. He suggests that, if we were to examine the evolutionary process on an imaginary earth-like planet, Threga IX, situated far away from us, possibly in another galaxy, we would probably find beings very much like us living there. This is in direct contrast to the belief of Stephen Jay Gould, who proposed that living beings on Threga IX would be very different from us.
369 citations
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TL;DR: In this paper, the authors provide a review of the competitive supply chain network design literature and highlight the effects of competitive environment on SCND, and develop a general framework for modeling the competitive SCND problems considering managerial insight and propose potential areas for future research.
Abstract: Supply chain network design (SCND) determines the structure of a chain and affects its costs and performance. SCND deals with a variety of decisions such as determining number, size and location of facilities in a supply chain (SC) and may include tactical decisions (such as distribution, transportation and inventory management policies) as well as operational decisions (such as fulfilling customers demand). SCND has a voluminous literature. Most of the literature deals with a single SC and ignores the existing competitor SCs and future emerging ones. However, SCs compete together to capture more market shares. Even if there is not any competitor at the moment, SCs should be prepared for possible future competitive situation at the SCND stage. On the other hand, many competitive models assume that the supply chain network (SCN) and its structure already exist. Few research papers consider both aspects of design and competition. In this paper, we provide a review of SCND literature and highlight the effects of competitive environment on SCND. We review, classify, and introduce the major features of the proposed models in both SCND and competition literature. After investigating proposed competitive SCND models we develop a general framework for modeling the competitive SCND problems considering managerial insight and propose potential areas for future research.
367 citations
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TL;DR: In this paper, an Artificial Intelligence (AI)-powered screening solution for COVID-19 infection that is deployable via a smartphone app is proposed, based on the prior work on cough-based diagnosis of respiratory diseases.
367 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 |