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Institution

University of Memphis

EducationMemphis, Tennessee, United States
About: University of Memphis is a education organization based out in Memphis, Tennessee, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 7710 authors who have published 20082 publications receiving 611618 citations. The organization is also known as: U of M.


Papers
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Journal ArticleDOI
TL;DR: This article examined the factors affecting Chinese firms' adoption of IT-enabled supply chain operations and the benefits they achieve, by drawing from and integrating the resource-based and institutional theoretic perspectives.

210 citations

Journal ArticleDOI
TL;DR: In this paper, the authors show that the values used by solar physicists for over a decade and currently referred to as the coronal abundances do not agree with the data themselves.
Abstract: Along with temperature and density, the elemental abundance is a basic parameter required by astronomers to understand and model any physical system. The abundances of the solar corona are known to differ from those of the solar photosphere via a mechanism related to the first ionization potential of the element, but the normalization of these values with respect to hydrogen is challenging. Here, we show that the values used by solar physicists for over a decade and currently referred to as the coronal abundances do not agree with the data themselves. As a result, recent analysis and interpretation of solar data involving coronal abundances may need to be revised. We use observations from coronal spectroscopy, the solar wind, and solar energetic particles as well as the latest abundances of the solar photosphere to establish a new set of abundances that reflect our current understanding of the coronal plasma.

209 citations

Journal ArticleDOI
TL;DR: The Cache County Study as discussed by the authors showed that women who used any type of HT within 5 years of menopause had 30% less risk of Alzheimer disease (95% confidence interval 0.49-0.99), especially if use was for 10 or more years.
Abstract: Objectives: Observational studies suggest reduced risk of Alzheimer disease (AD) in users of hormone therapy (HT), but trials show higher risk. We examined whether the association of HT with AD varies with timing or type of HT use. Methods: Between 1995 and 2006, the population-based Cache County Study followed 1,768 women who had provided a detailed history on age at menopause and use of HT. During this interval, 176 women developed incident AD. Cox proportional hazard models evaluated the association of HT use with AD, overall and in relation to timing, duration of use, and type (opposed vs unopposed) of HT. Results: Women who used any type of HT within 5 years of menopause had 30% less risk of AD (95% confidence interval 0.49–0.99), especially if use was for 10 or more years. By contrast, AD risk was not reduced among those who had initiated HT 5 or more years after menopause. Instead, rates were increased among those who began “opposed” estrogen-progestin compounds within the 3 years preceding the Cache County Study baseline (adjusted hazard ratio 1.93; 95% confidence interval 0.94–3.96). This last hazard ratio was similar to the ratio of 2.05 reported in randomized trial participants assigned to opposed HT. Conclusions: Association of HT use and risk of AD may depend on timing of use. Although possibly beneficial if taken during a critical window near menopause, HT (especially opposed compounds) initiated in later life may be associated with increased risk. The relation of AD risk to timing and type of HT deserves further study.

209 citations

Journal ArticleDOI
TL;DR: The authors discuss what it means to employ a specific model, RE-AIM, and key dimensions from this model for program planning, implementation, evaluation, and reporting and reports both conceptual and content specifications for the use of this model are reported.
Abstract: Many grant proposals identify the use of a given evaluation model or framework but offer little about how such models are implemented. The authors discuss what it means to employ a specific model, RE-AIM, and key dimensions from this model for program planning, implementation, evaluation, and reporting. The authors report both conceptual and content specifications for the use of the RE-AIM model and a content review of 42 recent dissemination and implementation grant applications to National Institutes of Health that proposed the use of this model. Outcomes include the extent to which proposals addressed the overall RE-AIM model and specific items within the five dimensions in their methods or evaluation plans. The majority of grants used only some elements of the model (less than 10% contained thorough measures across all RE-AIM dimensions). Few met criteria for “fully developed use” of RE-AIM and the percentage of key issues addressed varied from, on average, 45% to 78% across the RE-AIM dimensions. The...

209 citations

Journal ArticleDOI
TL;DR: In this article, a detailed estimate of static coseismic surface offsets as measured by survey and continuous GPS, both in near and far-field regions, has been inferred from a Joint inversion of new data together with published GPS, InSAR, and land-level changes data using Green's functions generated by a spherical finite-element model with realistic subduction zone geometry.

209 citations


Authors

Showing all 7827 results

NameH-indexPapersCitations
James F. Sallis169825144836
Robert G. Webster15884390776
Ching-Hon Pui14580572146
James Whelan12878689180
Tom Baranowski10348536327
Peter C. Doherty10151640162
Jian Chen96171852917
Arthur C. Graesser9561438549
David Richards9557847107
Jianhong Wu9372636427
Richard W. Compans9152631576
Shiriki K. Kumanyika9034944959
Alexander J. Blake89113335746
Marek Czosnyka8874729117
David M. Murray8630021500
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202327
2022169
20211,049
20201,044
2019843
2018846