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.

ZupT Is a Zn(II) Uptake System in Escherichia coli

Abstract: Escherichia coli zupT (ygiE), encoding a ZIP family member, mediated zinc uptake. Growth of cells disrupted in both zupT and the znuABC operon was inhibited by EDTA at a much lower concentration than a single mutant or the wild type. Cells expressing ZupT from a plasmid exhibited increased uptake of 65Zn2+.

Why firms diversify : an empirical examination

Abstract: There is substantial evidence to suggest that the market placed a lower value on diversified firms than on specialized firms during the 1980s, yet many firms diversified anyway. This article addresses why firms diversify in the first place. We use the Compustat Industry Segment database in order to identify and analyze a sample of firms that begin the study period as single-segment entities and then subsequently choose to diversify. We find evidence to support two of three possible agency cost hypotheses. Not all reported segment changes represent true economic events. Moreover, analysis of the differences between true economic diversifiers and firms whose segment change represents a nonsubstantive reporting change suggests that inadvertent inclusion of the latter in diversification studies may bias results, especially with respect to firm liquidity and q.

Modeling particle shape-dependent dynamics in nanomedicine.

Abstract: One of the major challenges in nanomedicine is to improve nanoparticle cell selectivity and adhesion efficiency through designing functionalized nanoparticles of controlled sizes, shapes, and material compositions. Recent data on cylindrically shaped filomicelles are beginning to show that non-spherical particles remarkably improved the biological properties over spherical counterpart. Despite these exciting advances, non-spherical particles have not been widely used in nanomedicine applications due to the lack of fundamental understanding of shape effect on targeting efficiency. This paper intends to investigate the shape-dependent adhesion kinetics of non-spherical nanoparticles through computational modeling. The ligand-receptor binding kinetics is coupled with Brownian dynamics to study the dynamic delivery process of nanorods under various vascular flow conditions. The influences of nanoparticle shape, ligand density, and shear rate on adhesion probability are studied. Nanorods are observed to contact and adhere to the wall much easier than their spherical counterparts under the same configuration due to their tumbling motion. The binding probability of a nanorod under a shear rate of 8 s(-1) is found to be three times higher than that of a nanosphere with the same volume. The particle binding probability decreases with increased flow shear rate and channel height. The Brownian motion is found to largely enhance nanoparticle binding. Results from this study contribute to the fundamental understanding and knowledge on how particle shape affects the transport and targeting efficiency of nanocarriers, which will provide mechanistic insights on the design of shape-specific nanomedicine for targeted drug delivery applications.

Stigma and Acceptance of Persons With Disabilities: Understudied Aspects of Workforce Diversity

Abstract: Although persons with disabilities compose a growing portion of workers, when compared with other aspects of diversity (e.g., race/ethnicity or gender), disability has received relatively little re...

Measurement of inclusive jet and dijet cross sections in proton-proton collisions at 7 TeV centre-of-mass energy with the ATLAS detector

Abstract: Jet cross sections have been measured for the first time in proton-proton collisions at a centre-of-mass energy of 7 TeV using the ATLAS detector. The measurement uses an integrated luminosity of 17 nb-1 recorded at the Large Hadron Collider. The anti-kt algorithm is used to identify jets, with two jet resolution parameters, R = 0.4 and 0.6. The dominant uncertainty comes from the jet energy scale, which is determined to within 7% for central jets above 60 GeV transverse momentum. Inclusive single-jet differential cross sections are presented as functions of jet transverse momentum and rapidity. Dijet cross sections are presented as functions of dijet mass and the angular variable $\chi$. The results are compared to expectations based on next-to-leading-order QCD, which agree with the data, providing a validation of the theory in a new kinematic regime.