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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 argue that individual differences influence media choice only under conditions of low message equivocality, and that when equivocal is high, a "richness imperative" masks the influence of individual differences.
Abstract: This article proposes a new thesis about the role of individual differences in managers' media choice behavior. It argues that individual differences influence media choice only under conditions of low message equivocality. When equivocality is high, a “richness imperative” masks the influence of individual differences. Managers are compelled to use richer media to match the equivocality of the message. However, in low-equivocality situations, richness demands are lowered. Any medium is capable of carrying the message. Thus managers have more freedom to act on their preferences, and individual differences are more likely to influence behavior. The findings of an exploratory study provide some support for this theoretical notion. As hypothesized, the judging/perspective attitude, as measured by the Myers Briggs Type Indicator, influenced media choice under conditions of low equivocality but not under conditions of high equivocality. However, tolerance for ambiguity did not significantly influence media cho...

201 citations

Journal ArticleDOI
TL;DR: The authors examined the impact of strategy, core competence, and involvement of HR executives in strategic decision making on the refinery managers' evaluation of the effectiveness of HR and on refinery performance among 86 U.S. petrochemical refineries.
Abstract: This study examines the impact of strategy, core competence, and involvement of HR executives in strategic decision making on the refinery managers' evaluation of the effectiveness of HR and on refinery performance among 86 U.S. petrochemical refineries. Survey results indicated that higher involvement of HR in organizational strategy was strongly related to perceptions of HR effectiveness, and that the relationship was strongest to the extent that refineries pursued a product innovation strategy and viewed skilled employees as their core competence. HR involvement was unrelated to refinery performance but was actually negatively related when refineries emphasized efficient production as their core competence. © 1998 John Wiley & Sons, Inc.

201 citations

Journal ArticleDOI
TL;DR: Policy and land management decisions related to global change scenarios should consider how ANPP and BNPP responses may differ, and that ecosystem responses to extreme events might not be predicted from relationships found under moderate environmental changes.
Abstract: Climatic changes are altering Earth's hydrological cycle, resulting in altered precipitation amounts, increased interannual variability of precipitation, and more frequent extreme precipitation events. These trends will likely continue into the future, having substantial impacts on net primary productivity (NPP) and associated ecosystem services such as food production and carbon sequestration. Frequently, experimental manipulations of precipitation have linked altered precipitation regimes to changes in NPP. Yet, findings have been diverse and substantial uncertainty still surrounds generalities describing patterns of ecosystem sensitivity to altered precipitation. Additionally, we do not know whether previously observed correlations between NPP and precipitation remain accurate when precipitation changes become extreme. We synthesized results from 83 case studies of experimental precipitation manipulations in grasslands worldwide. We used meta-analytical techniques to search for generalities and asymmetries of aboveground NPP (ANPP) and belowground NPP (BNPP) responses to both the direction and magnitude of precipitation change. Sensitivity (i.e., productivity response standardized by the amount of precipitation change) of BNPP was similar under precipitation additions and reductions, but ANPP was more sensitive to precipitation additions than reductions; this was especially evident in drier ecosystems. Additionally, overall relationships between the magnitude of productivity responses and the magnitude of precipitation change were saturating in form. The saturating form of this relationship was likely driven by ANPP responses to very extreme precipitation increases, although there were limited studies imposing extreme precipitation change, and there was considerable variation among experiments. This highlights the importance of incorporating gradients of manipulations, ranging from extreme drought to extreme precipitation increases into future climate change experiments. Additionally, policy and land management decisions related to global change scenarios should consider how ANPP and BNPP responses may differ, and that ecosystem responses to extreme events might not be predicted from relationships found under moderate environmental changes.

201 citations

Proceedings Article
21 Jun 2014
TL;DR: Both theoretical analysis and empirical studies demonstrate the proposed novel robust PCA objective functions with removing optimal mean automatically can more effectively reduce data dimensionality than previous robustPCA methods.
Abstract: Principal Component Analysis (PCA) is the most widely used unsupervised dimensionality reduction approach In recent research, several robust PCA algorithms were presented to enhance the robustness of PCA model However, the existing robust PCA methods incorrectly center the data using the l2-norm distance to calculate the mean, which actually is not the optimal mean due to the l1-norm used in the objective functions In this paper, we propose novel robust PCA objective functions with removing optimal mean automatically Both theoretical analysis and empirical studies demonstrate our new methods can more effectively reduce data dimensionality than previous robust PCA methods

201 citations

Journal ArticleDOI
Georges Aad1, Brad Abbott2, Jalal Abdallah3, Ovsat Abdinov4  +2841 moreInstitutions (194)
TL;DR: In this article, the results of a search for events containing at least one long-lived particle that decays at a significant distance from its production point into two leptons or into five or more charged particles are presented.
Abstract: Many extensions of the Standard Model posit the existence of heavy particles with long lifetimes. This article presents the results of a search for events containing at least one long-lived particle that decays at a significant distance from its production point into two leptons or into five or more charged particles. This analysis uses a data sample of proton-proton collisions at root s = 8 TeV corresponding to an integrated luminosity of 20.3 fb(-1) collected in 2012 by the ATLAS detector operating at the Large Hadron Collider. No events are observed in any of the signal regions, and limits are set on model parameters within supersymmetric scenarios involving R-parity violation, split supersymmetry, and gauge mediation. In some of the search channels, the trigger and search strategy are based only on the decay products of individual long-lived particles, irrespective of the rest of the event. In these cases, the provided limits can easily be reinterpreted in different scenarios.

200 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
20211,722
20201,664
20191,493
20181,462