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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: Drawing on the extensive literature in organizational theory and management, ambidexterity is advocated as a viable solution to systems development organizations attempting to harness the benefits of both agile and traditional development.
Abstract: Emerging evidence seems to indicate that most systems development organizations are attempting to utilize both agile and traditional approaches. This study aims to understand the reasons organizations feel the need for this unlikely juxtaposition and the organizational challenges in sustaining the opposing cultures. Drawing on the extensive literature in organizational theory and management, we advocate ambidexterity as a viable solution to systems development organizations attempting to harness the benefits of both agile and traditional development.

224 citations

Journal ArticleDOI
TL;DR: The authors found that the intensity of a firm's alliances with its competitors has a curvilinear (inverted U-shaped) influence on return on equity (ROE) and that the firm's competitor orientation, as embodied in its strategies and objectives, can strengthen or weaken this effect.
Abstract: To survive and prosper in today's highly competitive environment, firms are increasingly engaging in cooperative alliances with their rivals. However, the impact of these competitor alliances on financial performance is largely unknown. This research examines this issue. Using both survey and archival data, the authors conduct two studies that reveal that the intensity of a firm's alliances with its competitors has a curvilinear (inverted U-shaped) influence on return on equity. In addition, the authors find that a firm's competitor orientation, as embodied in its strategies and objectives, can strengthen or weaken this curvilinear effect. Overall, these findings indicate that both competition and cooperation have dark sides that a firm must carefully manage when working with rivals.

224 citations

Journal ArticleDOI
Georges Aad1, Brad Abbott2, Jalal Abdallah3, S. Abdel Khalek4  +2881 moreInstitutions (168)
TL;DR: In this paper, two different analysis strategies based on monojetlike and c-tagged event selections are carried out to optimize the sensitivity for direct top-squark-pair production in the decay channel to a charm quark and the lightest neutralino.
Abstract: Results of a search for supersymmetry via direct production of third-generation squarks are reported, using 20.3 fb(-1) of proton-proton collision data at root s = 8 TeV recorded by the ATLAS experiment at the LHC in 2012. Two different analysis strategies based on monojetlike and c-tagged event selections are carried out to optimize the sensitivity for direct top squark-pair production in the decay channel to a charm quark and the lightest neutralino ((t) over tilde (1) -> c + (chi) over tilde (0)(1)) across the top squark-neutralino mass parameter space. No excess above the Standard Model background expectation is observed. The results are interpreted in the context of direct pair production of top squarks and presented in terms of exclusion limits in the (m((t) over tilde1), m((chi) over tilde 10)) parameter space. A top squark of mass up to about 240 GeV is excluded at 95% confidence level for arbitrary neutralino masses, within the kinematic boundaries. Top squark masses up to 270 GeV are excluded for a neutralino mass of 200 GeV. In a scenario where the top squark and the lightest neutralino are nearly degenerate in mass, top squark masses up to 260 GeV are excluded. The results from the monojetlike analysis are also interpreted in terms of compressed scenarios for top squark-pair production in the decay channel (t) over tilde (1) -> b + ff' + (chi) over tilde (0)(1) and sbottom pair production with (b) over tilde -> b + (chi) over tilde (0)(1), leading to a similar exclusion for nearly mass-degenerate third-generation squarks and the lightest neutralino. The results in this paper significantly extend previous results at colliders.

224 citations

Journal ArticleDOI
TL;DR: In this article, an energy balance analysis explores the reasons for the differences between the model results and suggests that differences in surface albedo feedbacks, water vapour and lapse rate feedbacks are the dominant cause for the different results seen in the models, rather than inconsistencies in other prescribed boundary conditions or differences in cloud feedbacks.
Abstract: . The early Eocene (~55 to 50 Ma) is a time period which has been explored in a large number of modelling and data studies. Here, using an ensemble of previously published model results, making up "EoMIP" – the Eocene Modelling Intercomparison Project – and syntheses of early Eocene terrestrial and sea surface temperature data, we present a self-consistent inter-model and model–data comparison. This shows that the previous modelling studies exhibit a very wide inter-model variability, but that at high CO2, there is good agreement between models and data for this period, particularly if possible seasonal biases in some of the proxies are considered. An energy balance analysis explores the reasons for the differences between the model results, and suggests that differences in surface albedo feedbacks, water vapour and lapse rate feedbacks, and prescribed aerosol loading are the dominant cause for the different results seen in the models, rather than inconsistencies in other prescribed boundary conditions or differences in cloud feedbacks. The CO2 level which would give optimal early Eocene model–data agreement, based on those models which have carried out simulations with more than one CO2 level, is in the range of 2500 ppmv to 6500 ppmv. Given the spread of model results, tighter bounds on proxy estimates of atmospheric CO2 and temperature during this time period will allow a quantitative assessment of the skill of the models at simulating warm climates. If it is the case that a model which gives a good simulation of the Eocene will also give a good simulation of the future, then such an assessment could be used to produce metrics for weighting future climate predictions.

224 citations

Book
17 Sep 2007
TL;DR: In this article, the Cramer-Rao Bound Recursive Estimation (CRE) is used to estimate the mean and covariance of a continuous-time Kalman filter.
Abstract: OPTIMAL ESTIMATION Classical Estimation Theory Mean-Square Estimation Maximum-Likelihood Estimation The Cramer-Rao Bound Recursive Estimation Wiener Filtering Problems Discrete-Time Kalman Filter Deterministic State Observer Linear Stochastic Systems The Discrete-Time Kalman Filter Discrete Measurements of Continuous-Time Systems Error Dynamics and Statistical Steady State Frequency Domain Results Correlated Noise and Shaping Filters Optimal Smoothing Problems Continuous-Time Kalman Filter Derivation from Discrete Kalman Filter Some Examples Derivation from Wiener-Hopf Equation Error Dynamics and Statistical Steady State Frequency Domain Results Correlated Noise and Shaping Filters Discrete Measurements of Continuous-Time Systems Optimal Smoothing Problems Kalman Filter Design and Implementation Modeling Errors, Divergence, and Exponential Data Weighting Reduced-Order Filters and Decoupling Using Suboptimal Gains Scalar Measurement Updating Problems Estimation for Nonlinear Systems Update of the Hyperstate General Update of Mean and Covariance Extended Kalman Filter Application to Robotics and Adaptive Sampling Problems ROBUST ESTIMATION Robust Kalman Filter Systems with Modeling Uncertainties Robust Finite Horizon Kalman A Priori Filter Robust Stationary Kalman A Priori Filter Convergence Analysis Linear Matrix Inequality Approach Robust Kalman Filtering for Continuous-Time Systems Problems H-Infinity Filtering of Continuous-Time Systems H-Infinity Filtering Problem Finite Horizon H-Infinity Linear Filter Characterization of All Finite Horizon H-Infinity Linear Filters Stationary H-Infinity Filter-Riccati Equation Approach Relationship with the Kalman Filter Convergence Analysis H-Infinity Filtering for a Special Class of Signal Models Stationary H-Infinity Filter-Linear Matrix Inequality Approach Problems H-Infinity Filtering of Discrete-Time Systems Discrete-Time H-Infinity Filtering Problem H-Infinity A Priori Filter H-Infinity A Posteriori Filter Polynomial Approach to H-Infinity Estimation J-Spectral Factorization Applications in Channel Equalization Problems OPTIMAL STOCHASTIC CONTROL Stochastic Control for State Variable Systems Dynamic Programming Approach Continuous-Time Linear Quadratic Gaussian Problem Discrete-Time Linear Quadratic Gaussian Problem Problems Stochastic Control for Polynomial Systems Polynomial Representation of Stochastic Systems Optimal Prediction Minimum Variance Control Polynomial Linear Quadratic Gaussian Regulator Problems Appendix A: Review of Matrix Algebra Basic Definitions and Facts Partitioned Matrices Quadratic Forms and Definiteness Matrix Calculus References Index

224 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