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Institution

University of Arkansas

EducationFayetteville, Arkansas, United States
About: University of Arkansas is a education organization based out in Fayetteville, Arkansas, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 17225 authors who have published 33329 publications receiving 941102 citations. The organization is also known as: Arkansas & UA.


Papers
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Journal ArticleDOI
TL;DR: In this article, a coherent coupling between surface plasmon polaritons (SPP) and quantum well excitons in a hybrid metal-semiconductor nanostructure is reported.
Abstract: We report measurements of a coherent coupling between surface plasmon polaritons (SPP) and quantum well excitons in a hybrid metal-semiconductor nanostructure. The hybrid structure is designed to optimize the radiative exciton-SPP interaction which is probed by low-temperature, angle-resolved, far-field reflectivity spectroscopy. As a result of the coupling, a significant shift of $\ensuremath{\sim}7\text{ }\text{ }\mathrm{meV}$ and an increase in broadening by $\ensuremath{\sim}4\text{ }\text{ }\mathrm{meV}$ of the quantum well exciton resonance are observed. The experiments are corroborated by a phenomenological coupled-oscillator model predicting coupling strengths as large as 50 meV in structures with optimized detunings between the coupled exciton and SPP resonances. Such a strong interaction can, e.g., be used to enhance the luminescence yield of semiconductor quantum structures or to amplify SPP waves.

191 citations

Journal ArticleDOI
TL;DR: For example, this paper found that far-right extremists are more likely to have a military background, less likely to be married, and more likely planning on dying at the crime, live alone, use a firearm, kill multiple victims, and select government targets.
Abstract: Research Summary Recent reports have suggested that “loner” extremists, or self-radicalized extremists with no ties to organized groups who commit an ideologically motivated attack on their own, represent a growing threat to public safety in the United States. Disagreements among scholars and policy makers about contributing factors of loner attacks have led to competing predictions based largely on anecdotal evidence. Our study contributes to the understanding of loner violence by comparatively examining lethal attacks committed by far-right extremist loners and other far-rightists in the United States between 1990 and 2010. More than 20 of the leading claims from the literature on extremist loner violence are examined. The systematic comparison of far-right loners and other far-rightists presented in this article highlights ways in which loners are different from other far-rightists. Bivariate comparisons found that far-right loners are more likely to have a military background, less likely to be married, and more likely to plan on dying at commission of the crime, live alone, use a firearm, kill multiple victims, and select government targets. Loners also were similar to other far-right extremists on a large number of measures. Using a multivariate analysis, we tested what factors are particularly important for distinguishing between loners and other far-right offenders net the effects of other variables. Variables that significantly distinguished loners from other far-right homicide offenders include military background, age, mental illness, and relationship status. Policy Implications The findings highlight several important differences between loners and other types of violent extremists that could be used by policy makers and analysts to craft policies and strategies designed to prevent and preempt loner extremism. It seems that increased emphasis on intelligence, the use of undercover operations and informants, and task force strategies are in many ways working to prevent attacks committed by extremists. Although steps must always be taken to ensure that civil rights are not violated, our results provide direction for modifying and redirecting some ongoing counterterrorism efforts to prevent future loner attacks. We conclude with a discussion on how building or enhancing extant partnerships, information sharing, technological surveillance, and sharpening threat assessment capabilities could enhance current strategies to thwart loner violence.

191 citations

Journal ArticleDOI
TL;DR: In this article, the impact of rapidly changing land use on erosion and sedimentation in a mixed land use watershed in the Ozark Highlands of the USA was evaluated by combining a geographic information system-based soil erosion modeling approach with land use change detection.
Abstract: The objective of this study was to evaluate the impact of rapidly changing land use on erosion and sedimentation in a mixed land use watershed in the Ozark Highlands of the USA. The research combines a geographic information system-based soil erosion modeling approach with land use change detection to quantify the influence of changing land use on erosion risk. Five land use/land cover maps were generated or acquired for a 20-year period (1986 through 2006) at approximately 5-year intervals to assess land use change and to predict a projected (2030) land use scenario for the West Fork White River watershed in Northwest Arkansas. The Unit Stream Power based Erosion/Deposition model was applied to the observed and predicted land use to assess the impact on erosion. Total erosion from urban areas was predicted to increase by a factor of six between 1986 and 2030 based on the projected 2030 land use. Results support previous reports of increased urbanization leading to increased soil erosion risk. This study highlights the interaction of changes in land use with soil erosion potential. Soil erosion risk on a landscape can be quantified by incorporating commonly available biophysical data with geographic information system and remote sensing, which could serve as a land/watershed management tool for the rapid assessment of the effects of environmental change on erosion risk. Copyright © 2011 John Wiley & Sons, Ltd.

191 citations

Journal ArticleDOI
TL;DR: In this paper, the optical bistability of an optical ring cavity filled with a collection of three-level $\ensuremath{\Lambda}$-type rubidium atoms, interacting with two collinearly propagating laser beams, was investigated.
Abstract: We have experimentally studied the optical bistable behavior in an optical ring cavity filled with a collection of three-level $\ensuremath{\Lambda}$-type rubidium atoms, interacting with two collinearly propagating laser beams. The bistability so observed is very sensitive to the induced atomic coherence in this electromagnetically induced transparency system or consequently to the altered nonlinearity in the system and, thus, can easily be controlled by changing the intensity and the frequency detuning of the coupling field.

190 citations

Journal ArticleDOI
TL;DR: A model of e‐Government portal use is developed using various individual characteristics, namely demographics and personality, as predictors, which found support for the model, with most variables being significant and explaining 40% of the variance in e‐ government portal use.
Abstract: Electronic government e-Government is one of the most important ways to bridge the digital divide in developing countries. We develop a model of e-Government portal use. We use various individual characteristics, namely demographics and personality, as predictors of e-Government portal use. Specifically, our predictors were 1 gender, age, income and education; 2 the Big Five personality characteristics, i.e. extraversion, neuroticism, conscientiousness, agreeableness and openness to experience; and 3 personal innovativeness with information technology. We conducted a field study in a village in India. We collected data from over 300 heads of household. We found support for our model, with most variables being significant and explaining 40% of the variance in e-Government portal use.

190 citations


Authors

Showing all 17387 results

NameH-indexPapersCitations
Robert M. Califf1961561167961
Hugh A. Sampson14781676492
Stephen Boyd138822151205
Nikhil C. Munshi13490667349
Jian-Guo Bian128121980964
Bart Barlogie12677957803
Robert R. Wolfe12456654000
Daniel B. Mark12457678385
E. Magnus Ohman12462268976
Benoît Roux12049362215
Robert C. Haddon11257752712
Rodney J. Bartlett10970056154
Baoshan Xing10982348944
Gareth J. Morgan109101952957
Josep Dalmau10856849331
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202380
2022243
20211,973
20201,889
20191,736
20181,636