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.

Effect of Ethical Climate on Turnover Intention: Linking Attitudinal- and Stress Theory

Abstract: Attitudinal- and stress theory are used to investigate the effect of ethical climate on job outcomes. Responses from 208 service employees who work for a country health department were used to test a structural model that examines the process through which ethical climate (EC) affects turnover intention (TI). This study shows that the EC–TI relationship is fully mediated by role stress (RC), interpersonal conflict (IC), emotional exhaustion (EE), trust in supervisor (TS), and job satisfaction (JS). Results show that EC reduces (RS) and increases TS. Lower stress levels result in lower EE, higher JS, and lower TI. Also, supervisor trust (TS) reduces IC and EE. The structural model predicts 53.9% of the variance of TI.

Multi-document summarization via sentence-level semantic analysis and symmetric matrix factorization

Abstract: Multi-document summarization aims to create a compressed summary while retaining the main characteristics of the original set of documents. Many approaches use statistics and machine learning techniques to extract sentences from documents. In this paper, we propose a new multi-document summarization framework based on sentence-level semantic analysis and symmetric non-negative matrix factorization. We first calculate sentence-sentence similarities using semantic analysis and construct the similarity matrix. Then symmetric matrix factorization, which has been shown to be equivalent to normalized spectral clustering, is used to group sentences into clusters. Finally, the most informative sentences are selected from each group to form the summary. Experimental results on DUC2005 and DUC2006 data sets demonstrate the improvement of our proposed framework over the implemented existing summarization systems. A further study on the factors that benefit the high performance is also conducted.

A survey on sensor localization

Abstract: Localization is one of the fundamental problems in wireless sensor networks (WSNs), since locations of the sensor nodes are critical to both network operations and most application level tasks. Although the GPS based localization schemes can be used to determine node locations within a few meters, the cost of GPS devices and non-availability of GPS signals in confined environments prevent their use in large scale sensor networks. There exists an extensive body of research that aims at obtaining locations as well as spatial relations of nodes in WSNs without requiring specialized hardware and/or employing only a limited number of anchors that are aware of their own locations. In this paper, we present a comprehensive survey on sensor localization in WSNs covering motivations, problem formulations, solution approaches and performance summary. Future research issues will also be discussed.

Electron reconstruction and identification efficiency measurements with the atlas detector using the 2011 lhc proton-proton collision data

Abstract: Many of the interesting physics processes to be measured at the LHC have a signature involving one or more isolated electrons. The electron reconstruction and identification efficiencies of the ATLAS detector at the LHC have been evaluated using proton-proton collision data collected in 2011 at TeV and corresponding to an integrated luminosity of 4.7 fb. Tag-and-probe methods using events with leptonic decays of and bosons and mesons are employed to benchmark these performance parameters. The combination of all measurements results in identification efficiencies determined with an accuracy at the few per mil level for electron transverse energy greater than 30 GeV.

Opportunities in Opportunistic Computing

Abstract: When two devices come into contact, albeit opportunistically, it provides a great opportunity to match services to resources, exchange information, cyberforage, execute tasks remotely, and forward messages.