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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 paper, a conceptual analysis of the SF-36, from the viewpoint of four models of health: medical, World Health Organization, wellness, and environmental, is presented.
Abstract: The SF-36 is a practical and widely-tested instrument for measuring health status and medical outcomes. This article is not a critique of the SF-36, rather, it underscores its viability as an instrument for measuring physical and mental health and well-being. The article is a conceptual analysis of the SF-36, from the viewpoint of four models of health: medical, World Health Organization, wellness, and environmental. All four models suggest that the SF-36 be expanded to include other dimensions of health, especially mental and social. Specific dimensions to be included are: incidents of morbidity, satisfaction with quality of life, absence of mental disorders, social adjustment, social support, higher states of functioning, and adjustment to the environment. The end result of the suggested additions would be an instrument with greater conceptual meaning, for use in medical outcomes studies or surveys of the general population.

399 citations

Posted Content
TL;DR: This paper found evidence of a non-monotonic relationship between corruption and growth after controlling for several other economic variables and restricting the sample to those countries considered to be free, and showed that the growth-maximizing level of corruption is significantly greater than zero.
Abstract: This paper studies the effects of corruption on long run growth incorporating measures of political freedom as a key determinant of the relationship. Unlike previous empirical studies, we find evidence of a non-monotonic relationship between corruption and growth after controlling for several other economic variables and restricting the sample to those countries considered to be free. Our results indicate that the growth-maximizing level of corruption is significantly greater than zero, with corruption beneficial for economic growth at low levels of incidence and detrimental at high levels of incidence.

399 citations

Journal ArticleDOI
TL;DR: Investments in IT make their greatest competitive contribution when they enable a dynamic SC collaboration capability, and this work uses the resource-based view of the firm to ascertain how IT can be exploited to obtain a distinctive SC advantage.
Abstract: Despite substantial information technology (IT) investments, many organizations have failed to obtain hoped-for improvements in supply chain (SC) performance. Therefore, we investigate the mechanisms through which IT influences SC performance. Specifically, we use the resource-based view (RBV) of the firm to ascertain how IT can be exploited to obtain a distinctive SC advantage. We do this via a multimethod (survey and case-study) approach at two periods of time. We use a nested structural equation model (SEM) to test six hypotheses. Likewise, we content analyze interviews to contextualize the SEM findings. Importantly, we find that investments in IT make their greatest competitive contribution when they enable a dynamic SC collaboration capability. The findings provide valuable insight to guide IT investments designed to improve SC performance.

398 citations

Journal ArticleDOI
TL;DR: Electrochemical impedance spectroscopy and cyclic voltammetric method were employed to follow the stepwise assembly of the systems and the electronic transduction for the detection of E. coli.
Abstract: Impedance biosensor chips were developed for detection of Escherichia coli O157:H7 based on the surface immobilization of affinity-purified antibodies onto indium tin oxide (ITO) electrode chips. The immobilization of antibodies onto ITO chips was carried out using an epoxysilane monolayer to serve as a template for chemical anchoring of antibodies. The surface characteristics of chips before and after the binding reaction between the antibodies and antigens were characterized by atomic force microscopy (AFM). The patterns of the epoxysilanes monolayer, antibodies, and E. coli cells were clearly observed from the AFM images. Alkaline phosphatase as the labeled enzyme to anti-E. coli O157:H7 antibody was used to amplify the binding reaction of antibody−antigen on the chips. The biocatalyzed precipitation of 5-bromo-4-chloro-3-indolyl phosphate by alkaline phosphatase on the chips in pH 10 PBS buffer containing 0.1 M MgCl2 increased the electron-transfer resistance for a redox probe of Fe(CN)63-/4- at the e...

396 citations

Journal ArticleDOI
TL;DR: The Kerr nonlinear coefficient n(2) changes sign when the coupling beam frequency detuning switches sign, which can lead to interesting applications in optical devices such as all-optical switches.
Abstract: We measure the Kerr-nonlinear index of refraction of a three-level Lambda-type atomic system inside an optical ring cavity. The Kerr nonlinearity is modified and greatly enhanced near atomic resonant conditions for both probe and coupling beams. The Kerr nonlinear coefficient n(2) changes sign when the coupling beam frequency detuning switches sign, which can lead to interesting applications in optical devices such as all-optical switches.

395 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