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Institution

University of Texas at Arlington

EducationArlington, Texas, United States
About: University of Texas at Arlington is a education organization based out in Arlington, Texas, United States. It is known for research contribution in the topics: Population & Large Hadron Collider. The organization has 11758 authors who have published 28598 publications receiving 801626 citations. The organization is also known as: UT Arlington & University of Texas-Arlington.


Papers
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Journal ArticleDOI
TL;DR: In this paper, the authors identify important research issues at the international, corporate, and business levels of strategy research and address research questions that require integration across multiple levels of Strategy as well as the incorporation of both the content and process dimensions of strategy.

230 citations

Journal ArticleDOI
Georges Aad1, Brad Abbott2, J. Abdallah, A. A. Abdelalim3  +3056 moreInstitutions (193)
TL;DR: In this article, the authors used the ATLAS detector at the Large Hadron Collider (LHC) to measure inclusive jet and dijet cross sections in proton-proton collisions at a centre-of-mass energy of 7 TeV using the anti-kT algorithm.
Abstract: Inclusive jet and dijet cross sections have been measured in proton-proton collisions at a centre-of-mass energy of 7 TeV using the ATLAS detector at the Large Hadron Collider. The cross sections were measured using jets clustered with the anti-kT algorithm with parameters R=0.4 and R=0.6. These measurements are based on the 2010 data sample, consisting of a total integrated luminosity of 37 inverse picobarns. Inclusive jet double-differential cross sections are presented as a function of jet transverse momentum, in bins of jet rapidity. Dijet double-differential cross sections are studied as a function of the dijet invariant mass, in bins of half the rapidity separation of the two leading jets. The measurements are performed in the jet rapidity range |y|<4.4, covering jet transverse momenta from 20 GeV to 1.5 TeV and dijet invariant masses from 70 GeV to 5 TeV. The data are compared to expectations based on next-to-leading order QCD calculations corrected for non-perturbative effects, as well as to next-to-leading order Monte Carlo predictions. In addition to a test of the theory in a new kinematic regime, the data also provide sensitivity to parton distribution functions in a region where they are currently not well-constrained.

230 citations

Journal ArticleDOI
TL;DR: The results indicate that downsizing is associated with decreases in subsequent firm profitability and that these negative effects are more pronounced in industries characterized by research and development intensity, growth, and low capital intensity.
Abstract: Workforce downsizing through employee layoffs has become commonplace in American businesses over the last 20 years. While these initiatives are typically undertaken in the quest for improved firm performance and competitiveness, empirical research to date has been equivocal in supporting the efficacy of these initiatives. In addition, extant research has not thoroughly examined factors or conditions that may influence or moderate the performance impact of workforce downsizing. In this paper, we address the question: Do industry conditions moderate the impact of workforce downsizing on firm performance? We examine this question using matched primary and secondary data on a sample of U.S. manufacturing firms. After controlling for a set of industry and firm-level variables, including firms' prior performance levels, our results indicate that downsizing is associated with decreases in subsequent firm profitability and that these negative effects are more pronounced in industries characterized by research and development (R&D) intensity, growth, and low capital intensity.

229 citations

Journal ArticleDOI
TL;DR: The impact study of connecting a 120-MW wind farm into the transmission system of a utility company within the southwest power pool discusses the impacts of a large-scale wind generation on the system operation, voltage profile, and system security.
Abstract: Following in the steps of the gas industry, the traditional paradigm of the vertically integrated electric utility structure has begun to change. In the United States, the Federal Energy Regulatory Commission (FERC) has issued several rules and Notices of Proposed Rulemaking (NOPR) to set the road map for the deregulated utility industry. The crisis in California has drawn great attention and sparked intense discussion within the utility industry. One general conclusion is to rejuvenate the idea of integrated resource planning and promote the distributed generation via traditional or renewable generation facilities for the deregulated utility systems. Wind generation is the most mature and cost effective resource among different renewable energy technologies. Recently, several large-scale wind generation projects have been implemented in the US and other parts of the world. Similar to other new generation facilities, the impacts of a large scale wind generation on the system operation, voltage profile, and system security have to be investigated and studied. Remedies for possible operation issues have to be evaluated and implemented. This paper discusses the impact study of connecting a 120 MW wind farm into the transmission system of a utility company within the Southwest Power Pool (SPP).

228 citations

Journal ArticleDOI
01 Feb 1999-PALAIOS
TL;DR: In this paper, the presence of microbial communities is recognized for playing a potentially important role in defining and modifying surface sediment characteristics in various settings, ranging from terrestrial, through marginal marine, to continental margins.
Abstract: Increasingly, microbial communities are recognized for playing a potentially important role in defining and modifying surface sediment characteristics in various settings, ranging from terrestrial, through marginal marine, to continental margins. Whereas, the presence of microbial mats can be established with comparative ease in modern terrigenous clastics, their recognition in sedimentary rocks poses a big challenge. Terrigenous clastics of the Belt Supergroup (Mid-Proterozoic) show a number of features that can serve as microbial mat indicators: (A) domal buildups; (B) cohesive behavior; (C) wavy-crinkly character of laminae; (D) irregular wrinkled bed surfaces; (E) ripple patches; (F) laminae with mica enrichment; (G) irregular, curved-wrinkled impressions on bedding planes; and (H) lamina-specific distribution of early diagenetic minerals (dolomite, ferroan carbonate, pyrite). Positive identification of a fossil microbial mat requires one to find microbial filaments in life position. This is a difficult task even in the case of very favorable preservation of organic matter, and impossible to accomplish in many instances where fossil microbial mats are suspected. Nonetheless, the above features (especially when found in combination) are highly suggestive of microbial mats, and can serve as guides to sediments that may have accumulated under the influence of microbial mats. Whereas the Belt Basin examples are all from shallow-water environments, microbial mats may also have played an important role in deeper-water oxygen-deprived settings-the realm of black shale formation. In areas of modern oxygen-minimum zones, microbial mats have been found to thrive at the seafloor, profoundly influencing the chemistry of the sediment/water interface and sediment stability. Possible ancient analogs occur in a variety of black shale deposits (e.g. Jet Rock, Monterey Formation, Green River Formation), with wavy to crinkly kerogen-rich laminae being the main indication of possible microbial mat origins. Although microbial mats clearly have the ability to thrive in black shale environments, it will require more research to firmly establish whether, and how extensively, they occupied this niche in the geologic past.

228 citations


Authors

Showing all 11918 results

NameH-indexPapersCitations
Zhong Lin Wang2452529259003
Hyun-Chul Kim1764076183227
David H. Adams1551613117783
Andrew White1491494113874
Kaushik De1391625102058
Steven F. Maier13458860382
Andrew Brandt132124694676
Amir Farbin131112583388
Evangelos Gazis131114784159
Lee Sawyer130134088419
Fernando Barreiro130108283413
Stavros Maltezos12994379654
Elizabeth Gallas129115785027
Francois Vazeille12995279800
Sotirios Vlachos12878977317
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202353
2022243
20211,721
20201,664
20191,493
20181,462