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Institution

University of North Texas

EducationDenton, Texas, United States
About: University of North Texas is a education organization based out in Denton, Texas, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 11866 authors who have published 26984 publications receiving 705376 citations. The organization is also known as: Fight, North Texas & UNT.


Papers
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Journal ArticleDOI
TL;DR: The graphene-based quadrupole slot structure can realize a single transparency window, which is achieved without breaking the structure symmetry, and the transparency windows can be dynamically controlled over a broad frequency range by varying the Fermi energy levels of the graphene layer (through electrostatic gating).
Abstract: Tuneable complementary metamaterial structures based on graphene for single and multiple transparency windows

137 citations

Proceedings Article
01 Dec 2005
TL;DR: The purpose of this study is to characterize the indoor channel for 802.11 wireless local area networks at 2.4 GHz frequency using a channel model based on measurements conducted in commonly found scenarios in buildings.
Abstract: Indoor use of wireless systems poses one of the biggest design challenges. It is difficult to predict the propagation of a radio frequency wave in an indoor environment. To assist in deploying the above systems, characterization of the indoor radio propagation channel is essential. The contributions of this work are two-folds. First, in order to build a model, extensive field strength measurements are carried out inside two different buildings. Then, path loss exponents from log-distance path loss model and standard deviations from log-normal shadowing, which statistically describe the path loss models for a different transmitter receiver separations and scenarios, are determined. The purpose of this study is to characterize the indoor channel for 802.11 wireless local area networks at 2.4 GHz frequency. This thesis presents a channel model based on measurements conducted in commonly found scenarios in buildings. These scenarios include closed corridor, open corridor, classroom, and computer lab. Path loss equations are determined using log-distance path loss model and log-normal shadowing. The chi-square test statistic values for each access point are calculated to prove that the observed fading is a normal distribution at 5% significance level. Finally, the propagation models from the two buildings are compared to validate the generated equations.

137 citations

Journal ArticleDOI
TL;DR: The recently developed correlation consistent Composite Approach for transition metals (ccCA-TM) was utilized to compute the thermochemical properties for a collection of 225 inorganic molecules containing first row (3d) transition metals, ranging from the monohydrides to larger organometallics such as Sc(C(5)H(5))(3) and clusters such as (CrO(3))( 3).
Abstract: The recently developed correlation consistent Composite Approach for transition metals (ccCA-TM) was utilized to compute the thermochemical properties for a collection of 225 inorganic molecules containing first row (3d) transition metals, ranging from the monohydrides to larger organometallics such as Sc(C5H5)3 and clusters such as (CrO3)3. Ostentatiously large deviations of ccCA-TM predictions stem mainly from aging and unreliable experimental data. For a subset of 70 molecules with reported experimental uncertainties less than or equal to 2.0 kcal mol–1, regardless of the presence of moderate multireference character in some molecules, ccCA-TM achieves transition metal chemical accuracy of ±3.0 kcal mol–1 as defined in our earlier work [J. Phys. Chem. A 2007, 111, 11269–11277] by giving a mean absolute deviation of 2.90 kcal mol–1 and a root-mean-square deviation of 3.91 kcal mol–1. As subsets are constructed with decreasing upper limits of reported experimental uncertainties (5.0, 4.0, 3.0, 2.0, and 1...

137 citations

Journal ArticleDOI
TL;DR: This paper analyzed balance sheet bloat, or unusually high levels of working capital account balances, for evidence of sustained, income-increasing earnings management prior to initial non-GAAP financial reports.
Abstract: Most earnings restatements are blamed on error, or misunderstanding of GAAP, but suspicion persists that many of these restatements are instead due to intentional earnings management. We analyze balance sheet bloat, or unusually high levels of working capital account balances, for evidence of sustained, income-increasing earnings management prior to initial non-GAAP financial reports. We establish a pattern of systematically increasing balance sheet bloat for firms later issuing clearly fraudulent financial reports. Next, we compare bloat for apparently non-fraud restatements to fraud and control samples. We find non-fraud restatement companies‟ bloat is higher than control companies for two years preceding the initial misstated financial report. But, these firms accumulate less balance sheet bloat than companies with restatements clearly involving fraud. This suggests meaningful, but not pervasive, earnings management underlying even apparently non-fraudulent restatements. We extend our analysis to discretionary accruals and real activity earnings management.

137 citations


Authors

Showing all 12053 results

NameH-indexPapersCitations
Steven N. Blair165879132929
Scott D. Solomon1371145103041
Richard A. Dixon12660371424
Thomas E. Mallouk12254952593
Hong-Cai Zhou11448966320
Qian Wang108214865557
Boris I. Yakobson10744345174
J. N. Reddy10692666940
David Spiegel10673346276
Charles A. Nelson10355740352
Robert J. Vallerand9830141840
Gerald R. Ferris9333229478
Michael H. Abraham8972637868
Jere H. Mitchell8833724386
Alan Needleman8637339180
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202390
2022300
20211,795
20201,769
20191,644
20181,484