University of Texas at Arlington

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.

A mobile transaction model that captures both the data and movement behavior

Abstract: Unlike distributed transactions, mobile transactions do not originate and end at the same site. The implication of the movement of such transactions is that classical atomicity, concurrency and recovery solutions must be revisited to capture the movement behavior. As an effort in this direction, we define a model of mobile transactions by building on the concepts of split transactions and global transactions in a multidatabase environment. Our view of mobile transactions, called Kangaroo Transactions, incorporates the property that transactions in a mobile computing system hop from one base station to another as the mobile unit moves through cells. Our model is the first to capture this movement behavior as well as the data behavior which reflects the access to data located in databases throughout the static network. The mobile behavior is dynamic and is realized in our model via the use of split operations. The data access behavior is captured by using the idea of global and local transactions in a multidatabase system.

State Public Opinion, the Death Penalty, and the Practice of Electing Judges

Abstract: Do state supreme courts act impartially or are they swayed by public opinion? Do judicial elections influence judge behavior? To date these questions have received little direct attention due to the absence of comparable public opinion data in states and obstacles to collecting data necessary for comprehensive analysis of state supreme court outcomes. Advances in measurement, data archiving, and methodology now allow for consideration of the link between public opinion and judicial outcomes in the American states. The analysis presented considers public opinion's influence on the composition of courts (indirect effects) and its influence on judge votes in capital punishment cases (direct effects). In elective state supreme courts, public support for capital punishment influences the ideological composition of those courts and judge willingness to uphold death sentences. Notably, public support for capital punishment has no measurable effect on nonelective state supreme courts. On the highly salient issue of the death penalty, mass opinion and the institution of electing judges systematically influence court composition and judge behavior.

Optimal design of CMAC neural-network controller for robot manipulators

Abstract: This paper is concerned with the application of quadratic optimization for motion control to feedback control of robotic systems using cerebellar model arithmetic computer (CMAC) neural networks. Explicit solutions to the Hamilton-Jacobi-Bellman (H-J-B) equation for optimal control of robotic systems are found by solving an algebraic Riccati equation. It is shown how the CMAC can cope with nonlinearities through optimization with no preliminary off-line learning phase required. The adaptive-learning algorithm is derived from Lyapunov stability analysis, so that both system-tracking stability and error convergence can be guaranteed in the closed-loop system. The filtered-tracking error or critic gain and the Lyapunov function for the nonlinear analysis are derived from the user input in terms of a specified quadratic-performance index. Simulation results from a two-link robot manipulator show the satisfactory performance of the proposed control schemes even in the presence of large modeling uncertainties and external disturbances.

Search for dark matter in events with a hadronically decaying W or Z boson and missing transverse momentum in pp collisions at √s = 8 TeV with the ATLAS detector

Abstract: A search is presented for dark matter pair production in association with a W or Z boson in pp collisions representing 20.3 fb(-1) of integrated luminosity at root s = 8 TeV using data recorded with the ATLAS detector at the Large Hadron Collider. Events with a hadronic jet with the jet mass consistent with a W or Z boson, and with large missing transverse momentum are analyzed. The data are consistent with the standard model expectations. Limits are set on the mass scale in effective field theories that describe the interaction of dark matter and standard model particles, and on the cross section of Higgs production and decay to invisible particles. In addition, cross section limits on the anomalous production of W or Z bosons with large missing transverse momentum are set in two fiducial regions.

LSDA+U study of cupric oxide : Electronic structure and native point defects

Abstract: A first-principles study on strongly correlated monoclinic cupric oxide CuO has been performed by using the $\mathrm{LSDA}+\mathrm{U}$ method. The optimized structural parameters of the crystal CuO are in good agreement with the experimental data. The electronic structures and magnetic properties calculated from the $\mathrm{LSDA}+\mathrm{U}$ method show that, in its ground state, CuO is a semiconducting, antiferromagnetic material with an indirect band gap of $1.0\phantom{\rule{0.3em}{0ex}}\mathrm{eV}$ and local magnetic moment per unit formula of $0.60{\ensuremath{\mu}}_{B}$, which agree with the experimental results. The carrier effective masses in CuO are larger than those in silicon, indicating smaller carrier mobilities. We have also investigated native point defects in CuO. Our results show that CuO is intrinsically a $p$-type semiconductor because Cu vacancies are the most stable defects in both Cu-rich and O-rich environments.