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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: Remarkable luminescence properties are found for the three M3 complexes, as manifested by the appearance of multiple unstructured phosphorescence bands whose colors and lifetimes change qualitatively upon varying the coinage metal and temperature.
Abstract: This article discusses the metal effect on the supramolecular structure, photophysics, and acid-base character of trinuclear pyrazolato coinage metal complexes.

255 citations

Journal ArticleDOI
TL;DR: In this paper, the Humic Ion-Binding Model V was modified to assess the role of dissolved natural organic matter in the speciation of rare earth elements (REEs) in natural terrestrial waters.

255 citations

Journal ArticleDOI
TL;DR: Major theoretical and methodological issues that strategic management researchers must consider when developing and testing configuration theories are discussed.

254 citations

Journal ArticleDOI
TL;DR: This article investigated circumstances in which romantic partners may be motivated to inaccurately infer each other's thoughts and feelings from the videotape of the rating and discussion task and found that romantic partners who were close, who were insecure about their relationship, and who evaluated highly attractive opposite-sex persons displayed the least empathic accuracy when they tried to infer each others' actual thought and feelings.
Abstract: This study investigated circumstances in which romantic partners may be motivated to inaccurately infer each other's thoughts and feelings. Dating couples rated and discussed pictures of opposite-sex people with whom they might later interact in a dating context. Couples evaluated either highly attractive persons or less attractive persons. As predicted, dating partners who were close, who were insecure about their relationship, and who evaluated highly attractive opposite-sex persons displayed the least empathic accuracy when they tried to infer each other's actual thoughts and feelings from the videotape of the rating and discussion task. The effects of these variables were additive, and they were mediated by the degree of perceived threat to the relationship. Theoretical implications of these findings are discussed.

253 citations

Journal ArticleDOI
01 Jun 2011
TL;DR: This paper investigates the cooperative tracking control problem for a group of Lagrangian vehicle systems with directed communication graph topology and proposes a design method for a distributed adaptive protocol which guarantees that all the networked systems synchronize to the motion of a target system.
Abstract: This paper investigates the cooperative tracking control problem for a group of Lagrangian vehicle systems with directed communication graph topology. All the vehicles can have different dynamics. A design method for a distributed adaptive protocol is given which guarantees that all the networked systems synchronize to the motion of a target system. The dynamics of the networked systems, as well as the target system, are all assumed unknown. A neural network (NN) is used at each node to approximate the distributed dynamics. The resulting protocol consists of a simple decentralized proportional-plus-derivative term and a nonlinear term with distributed adaptive tuning laws at each node. The case with nonconstant NN approximation error is considered. There, a robust term is added to suppress the external disturbances and the approximation errors of the NNs. Simulation examples are included to demonstrate the effectiveness of the proposed algorithms.

253 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