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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: This paper investigated the importance of simplicity as a strategy-making process and found that the use of a simplistic strategy making process was positively associated with a positive effect of simplicity on decision-making.
Abstract: This field study investigated the importance of simplicity as a strategy-making process. Consistent with our hypotheses, use of a simplistic strategy-making process was found to be positively assoc...

203 citations

Posted Content
TL;DR: This article examined the role that CEO overconfidence plays in an explanation of international mergers and acquisitions during the period 2000-2006, using a sample of CEOs of Fortune Global 500 firms over a sample period, finding that overconfidence is related to a number of critical aspects of international merger activity.
Abstract: This study examines the role that CEO overconfidence plays in an explanation of international mergers and acquisitions during the period 2000-2006. Using a sample of CEOs of Fortune Global 500 firms over our sample period, we find that CEO overconfidence is related to a number of critical aspects of international merger activity. Overconfidence helps to explain the number of offers made by a CEO, the frequency of diversifying acquisitions, and the use of cash to finance a merger deal. Although overconfidence is an international phenomenon, it is most extensively observed in individuals heading firms headquartered in Christian countries that encourage individualism while de-emphasizing long-term orientation in their national cultures.

203 citations

Journal ArticleDOI
TL;DR: It is shown that a general version of effective bandwidth can be expressed within the framework of a Probabilistic version of the network calculus, where both arrivals and service are specified in terms of probabilistic bounds.
Abstract: This paper establishes a link between two principal tools for the analysis of network traffic, namely, effective bandwidth and network calculus. It is shown that a general version of effective bandwidth can be expressed within the framework of a probabilistic version of the network calculus, where both arrivals and service are specified in terms of probabilistic bounds. By formulating well-known effective bandwidth expressions in terms of probabilistic envelope functions, the developed network calculus can be applied to a wide range of traffic types, including traffic that has self-similar characteristics. As applications, probabilistic lower bounds are presented on the service given by three different scheduling algorithms: static priority, earliest deadline first, and generalized processor sharing. Numerical examples show the impact of specific traffic models and scheduling algorithms on the multiplexing gain in a network.

203 citations

Proceedings ArticleDOI
Feiping Nie1, Heng Huang1, Chris Ding1, Dijun Luo1, Hua Wang1 
16 Jul 2011
TL;DR: Experimental results on real world datasets show that the nongreedy method always obtains much better solution than that of the greedy method, and then a robust principal component analysis with non-greedy l1-norm maximization is proposed.
Abstract: Principal Component Analysis (PCA) is one of the most important methods to handle high-dimensional data. However, the high computational complexity makes it hard to apply to the large scale data with high dimensionality, and the used l2-norm makes it sensitive to outliers. A recent work proposed principal component analysis based on l1-normmaximization, which is efficient and robust to outliers. In that work, a greedy strategy was applied due to the difficulty of directly solving the l1-norm maximization problem, which is easy to get stuck in local solution. In this paper, we first propose an efficient optimization algorithmto solve a general l1-norm maximization problem, and then propose a robust principal component analysis with non-greedy l1-norm maximization. Experimental results on real world datasets show that the nongreedy method always obtains much better solution than that of the greedy method.

203 citations

Journal ArticleDOI
01 May 2008-Synapse
TL;DR: It is shown that chronic, but not acute, administration of each of four drugs of abuse, cocaine, morphine, ethanol, and Δ9‐THC, robustly induces ΔFosB in nucleus accumbens, although different patterns in the core vs. shell subregions of this nucleus were apparent for the different drugs.
Abstract: The transcription factor DeltaFosB accumulates and persists in brain in response to chronic stimulation. This accumulation after chronic exposure to drugs of abuse has been demonstrated previously by Western blot most dramatically in striatal regions, including dorsal striatum (caudate/putamen) and nucleus accumbens. In the present study, we used immunohistochemistry to define with greater anatomical precision the induction of DeltaFosB throughout the rodent brain after chronic drug treatment. We also extended previous research involving cocaine, morphine, and nicotine to two additional drugs of abuse, ethanol and Delta(9)-tetrahydrocannabinol (Delta(9)-THC, the active ingredient in marijuana). We show here that chronic, but not acute, administration of each of four drugs of abuse, cocaine, morphine, ethanol, and Delta(9)-THC, robustly induces DeltaFosB in nucleus accumbens, although different patterns in the core vs. shell subregions of this nucleus were apparent for the different drugs. The drugs also differed in their degree of DeltaFosB induction in dorsal striatum. In addition, all four drugs induced DeltaFosB in prefrontal cortex, with the greatest effects observed with cocaine and ethanol, and all of the drugs induced DeltaFosB to a small extent in amygdala. Furthermore, all drugs induced DeltaFosB in the hippocampus, and, with the exception of ethanol, most of this induction was seen in the dentate. Lower levels of DeltaFosB induction were seen in other brain areas in response to a particular drug treatment. These findings provide further evidence that induction of DeltaFosB in nucleus accumbens is a common action of virtually all drugs of abuse and that, beyond nucleus accumbens, each drug induces DeltaFosB in a region-specific manner in brain.

203 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