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.

LeZi-update: an information-theoretic framework for personal mobility tracking in PCS networks

Abstract: The complexity of the mobility tracking problem in a cellular environment has been characterized under an information-theoretic framework. Shannon's entropy measure is identified as a basis for comparing user mobility models. By building and maintaining a dictionary of individual user's path updates (as opposed to the widely used location updates), the proposed adaptive on-line algorithm can learn subscribers' profiles. This technique evolves out of the concepts of lossless compression. The compressibility of the variable-to-fixed length encoding of the acclaimed Lempel---Ziv family of algorithms reduces the update cost, whereas their built-in predictive power can be effectively used to reduce paging cost.

Hot Buttons and Time Sinks: The Effects of Electronic Communication During Nonwork Time on Emotions and Work-Nonwork Conflict

Abstract: As advances in communication technologies have made organizations more easily connected to their workforce outside of normal work hours, there is increased concern that employees may experience hei...

Measurement error in research on the human resources and firm performance relationship: further evidence and analysis

Abstract: Our earlier article in Personnel Psychology demonstrated how general-izability theory could be used to obtain improved reliability estimates in the human resource (HR) and firm performance literature and that correcting for unreliability using these estimates had important implications for the magnitude of the HR and firm performance relationship. In their comment, Huselid and Becker both raise criticisms specific to our study and broad issues for the field to consider. In our present article, we argue, using empirical evidence whenever possible, that the issues and criticisms raised by Huselid and Becker do not change our original conclusions. We also provide new evidence on how the reliability of HR-related measures may differ at different levels of analysis. Finally, we build on Huselid and Becker's helpful discussion of broad research design and strategy issues in the HR and firm performance literature in an effort to help researchers make better informed choices regarding their own research designs and strategies in the area.

Electron and photon performance measurements with the ATLAS detector using the 2015-2017 LHC proton-proton collision data

Abstract: This paper describes the reconstruction of electrons and photons with the ATLAS detector, employed for measurements and searches exploiting the complete LHC Run 2 dataset. An improved energy clustering algorithm is introduced, and its implications for the measurement and identification of prompt electrons and photons are discussed in detail. Corrections and calibrations that affect performance, including energy calibration, identification and isolation efficiencies, and the measurement of the charge of reconstructed electron candidates are determined using up to 81 fb−1 of proton-proton collision data collected at √s=13 TeV between 2015 and 2017.