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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.


Papers
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Journal ArticleDOI
TL;DR: A comprehensive framework for empowering SONs with big data to address the requirements of 5G is proposed and the resultant dynamicity of a big data empowered SON (BSON) makes it more agile and can act as a key enabler for 5G's extremely low latency requirements.
Abstract: While an al dente character of 5G is yet to emerge, network densification, miscellany of node types, split of control and data plane, network virtualization, heavy and localized cache, infrastructure sharing, concurrent operation at multiple frequency bands, simultaneous use of different medium access control and physical layers, and flexible spectrum allocations can be envisioned as some of the potential ingredients of 5G. It is not difficult to prognosticate that with such a conglomeration of technologies, the complexity of operation and OPEX can become the biggest challenge in 5G. To cope with similar challenges in the context of 3G and 4G networks, recently, self-organizing networks, or SONs, have been researched extensively. However, the ambitious quality of experience requirements and emerging multifarious vision of 5G, and the associated scale of complexity and cost, demand a significantly different, if not totally new, approach toward SONs in order to make 5G technically as well as financially feasible. In this article we first identify what challenges hinder the current self-optimizing networking paradigm from meeting the requirements of 5G. We then propose a comprehensive framework for empowering SONs with big data to address the requirements of 5G. Under this framework we first characterize big data in the context of future mobile networks, identifying its sources and future utilities. We then explicate the specific machine learning and data analytics tools that can be exploited to transform big data into the right data that provides a readily useable knowledge base to create end-to-end intelligence of the network. We then explain how a SON engine can build on the dynamic models extractable from the right data. The resultant dynamicity of a big data empowered SON (BSON) makes it more agile and can essentially transform the SON from being a reactive to proactive paradigm and hence act as a key enabler for 5G's extremely low latency requirements. Finally, we demonstrate the key concepts of our proposed BSON framework through a case study of a problem that the classic 3G/4G SON fails to solve.

427 citations

Journal ArticleDOI
TL;DR: This paper is a five year update of the sports nutrition review article published as the lead paper to launch the JISSN and presents a well-referenced overview of the current state of the science related to how to optimize training and athletic performance through nutrition.
Abstract: Sports nutrition is a constantly evolving field with hundreds of research papers published annually. For this reason, keeping up to date with the literature is often difficult. This paper is a five year update of the sports nutrition review article published as the lead paper to launch the JISSN in 2004 and presents a well-referenced overview of the current state of the science related to how to optimize training and athletic performance through nutrition. More specifically, this paper provides an overview of: 1.) The definitional category of ergogenic aids and dietary supplements; 2.) How dietary supplements are legally regulated; 3.) How to evaluate the scientific merit of nutritional supplements; 4.) General nutritional strategies to optimize performance and enhance recovery; and, 5.) An overview of our current understanding of the ergogenic value of nutrition and dietary supplementation in regards to weight gain, weight loss, and performance enhancement. Our hope is that ISSN members and individuals interested in sports nutrition find this review useful in their daily practice and consultation with their clients.

426 citations

Journal ArticleDOI
TL;DR: The perceptions of organizational politics model proposed by Ferris, Russ, and Fandt (1989) was tested in this article, and reasonably strong support was found for most of the linkages in the model, including the moderating effects of control and understanding, and the mediating effects between predictors and outcomes.
Abstract: The perceptions of organizational politics model proposed by Ferris, Russ, and Fandt (1989) was tested in this study, and reasonably strong support was found for most of the linkages in the model, including the moderating effects of control and understanding, and the mediating effects of politics between predictors and outcomes. Furthermore, politics was characterized as a potential source of stress in the work environment, contributing to our understanding of the dynamics of politics in organizations. The results of the present study are discussed in light of the implications and directions for future research.

426 citations

Journal ArticleDOI
TL;DR: In this paper, the authors measured the branching fraction and photon energy spectrum for the radiative penguin process b-->s gamma, and obtained the first and second moments of the photon spectrum above 2.0 GeV.
Abstract: We have measured the branching fraction and photon energy spectrum for the radiative penguin process b-->s gamma. We find Beta(b-->s gamma) = (3.21+/-0.43+/-0.27(+0.18)(-0.10))x10(-4), where the errors are statistical, systematic, and from theory corrections. We obtain first and second moments of the photon energy spectrum above 2.0 GeV, = 2.346+/-0.032+/-0.011 GeV, and - (2) = 0.0226+/-0.0066+/-0.0020 GeV(2), where the errors are statistical and systematic. From the first moment, we obtain (in the modified minimal subtraction renormalization scheme, to order 1/M(3)(B) and beta(0)alpha(2)(s)) the heavy quark effective theory parameter Lambda = 0.35+/-0.08+/-0.10 GeV.

425 citations

Journal ArticleDOI
TL;DR: It is demonstrated that IT strategic role can explain how IT investments in each of the IT strategic roles might affect the firm's competitive position and ultimately firm value.
Abstract: In this paper, we examine the influence of IT strategic role to extend the findings of Im et al. (2001), Chatterjee et al. (2002) and Dos Santos et al. (1993). Specifically, we demonstrate that IT strategic role can explain how IT investments in each of the IT strategic roles might affect the firm's competitive position and ultimately firm value. We find positive, abnormal returns to announcements of IT investments by firms making transformative IT investments, and with membership in industries with transform IT strategic roles. The results of previous research are not found to be significant when IT strategic role is included as an explanatory variable. These results provide support for the value of capturing the IT strategic role of a firm's IT-related competitive maneuvering in studies striving to understand the conditions under which IT investments are likely to produce out-of-the-ordinary, positive returns.

425 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