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.

Bactericidal Activity of TiO2 Photocatalyst in Aqueous Media: Toward a Solar-Assisted Water Disinfection System.

Abstract: Irradiation of suspensions of Escherichia coli ([approximately] 10[sup 6] cells/mL) and TiO[sub 2] (anatase) with UV-visible light of wave-lengths longer than 380 nm resulted in the killing of the bacteria within minutes. Oxygen was found to be a prerequisite for the bactericidal properties of the photocatalyst. Bacterial killing was found to adhere to first-order kinetics. The rate constant was proportional to the square root of the concentration of TiO[sub 2] and proportional to the incident light intensity in the range [approximately] 180- [approximately] 1660 [mu]E s[sup [minus]1] m[sup [minus]2]. The trends in these simulated laboratory experiments were mimicked by outdoor tests conducted under the summer noonday sun in Texas. The implications of these results as well as those of previous investigations in terms of practical applicability to solar-assisted water treatment and disinfection at remote sites are discussed relative to water technologies currently considered as viable as alternatives to chlorination. 24 refs., 8 figs.

Electron performance measurements with the ATLAS detector using the 2010 LHC proton-proton collision data

Abstract: Detailed measurements of the electron performance of the ATLAS detector at the LHC are reported, using decays of the Z, W and J/psi particles. Data collected in 2010 at root s = 7 TeV are used, corresponding to an integrated luminosity of almost 40 pb(-1). The inter-alignment of the inner detector and the electromagnetic calorimeter, the determination of the electron energy scale and resolution, and the performance in terms of response uniformity and linearity are discussed. The electron identification, reconstruction and trigger efficiencies, as well as the charge misidentification probability, are also presented.

Expatriates' psychological withdrawal from international assignments: work, nonwork, and family influences

Abstract: Integrating the expatriate adjustment and employee turnover literatures, we develop a model of expatriates' decisions to quit their assignments. This model explicitly considers the role of adjustment, the project-based nature of international assignments, and the importance of several nonwork and family context factors in this withdrawal process. We test this model with a sample of 452 expatriates and a matched subsample (providing multiple sources of data) of 224 expatriates and spouses, living in 45 countries. Consistent with domestic turnover research, multiple regression analyses indicated that the work-related factors of job satisfaction and organizational commitment were significant predictors of expatriate withdrawal cognitions. We also found support for the direct, indirect, and moderating influence of nonwork satisfaction and several family context variables (i.e., family responsibility, spouse adjustment, spouse overall satisfaction, and living conditions) on decisions of expatriates to quit their assignments. Implications for both organizational withdrawal and international HRM researchers and practitioners are discussed.

Graph-based anomaly detection

Abstract: Anomaly detection is an area that has received much attention in recent years. It has a wide variety of applications, including fraud detection and network intrusion detection. A good deal of research has been performed in this area, often using strings or attribute-value data as the medium from which anomalies are to be extracted. Little work, however, has focused on anomaly detection in graph-based data. In this paper, we introduce two techniques for graph-based anomaly detection. In addition, we introduce a new method for calculating the regularity of a graph, with applications to anomaly detection. We hypothesize that these methods will prove useful both for finding anomalies, and for determining the likelihood of successful anomaly detection within graph-based data. We provide experimental results using both real-world network intrusion data and artificially-created data.

Naturalistic Social Cognition: Empathic Accuracy in Mixed-Sex Dyads

Abstract: The research paradigm that Ickes and his colleagues developed for the study of naturalistic social cognition was used to explore the phenomenon of empathic accuracy in the initial, unstructured interactions of 38 mixed-sex (male-female) dyads. The results indicated that an important aspect of empathic accuracy—content accuracy—could be measured reliably (a = .94) with the procedure used. The results further indicated that content accuracy was, to a large extent, an emergent product of social interaction processes occurring at the level of the dyad. Although many of the findings could be explained in informational terms, some significant motivational influences were observed as well. For example, content accuracy was influenced by the partner's physical attractiveness and, more generally, by the perceiver's apparent interest in the partner (as indexed by various thought/feeling measures). The individual difference variables of grade point average and selfmonitoring also predicted the subjects' levels of content accuracy; however, gender and self-report measures of empathic skills and empathic accuracy did not. If the study of subjective phenomena involving or occurring within a single conscious mind is the domain of mainstream cognitive psychology, it follows logically that the study of intersubjective phenomena involving or occurring between at least two conscious minds is the proper domain of cognitive social psychology (Ickes, Tooke, Stinson, Baker, & Bissonnette, 1988). The logic of this conclusion has been consensually validated by both present and past reviewers of social cognition research. For example, Markus and Zajonc (1985) ended their Handbook chapter on cognitive social psychology by stating that "the properties of social perception and social cognition that make them distinct are reciprocity and intersubjectivity" (p. 213). They noted that "many earlier authors, such as Mead (1934), Merleau-Ponty (1970), Asch, (1952), and Heider (1958)," have drawn essentially the same conclusion. In general, intersubjective phenomena can be characterized as those involving some form of interdependence between the contents or processes of at least two conscious minds (cf. Wegner, Giuliano, & Hertel, 1985). Given this definition, intersubjective phenomena are clearly not the most frequently studied phenomena in cognitive social psychology (Ickes et al., 1988). In most studies of human social cognition, researchers have not inquired how the contents and processes of one mind are interdependent with those of another. Instead, using as their models the studies conducted in more traditional areas of psychology, they have inquired how the contents and processes of