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Institution

Virginia Commonwealth University

EducationRichmond, Virginia, United States
About: Virginia Commonwealth University is a education organization based out in Richmond, Virginia, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 23822 authors who have published 49587 publications receiving 1787046 citations. The organization is also known as: VCU.


Papers
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Journal ArticleDOI
TL;DR: It is shown that the stability of a cluster can be substantially enhanced by changing its size and/or composition so as to take advantage of the electronic shell filling as well as close atomic packing.
Abstract: It is shown that the stability of a cluster can be substantially enhanced by changing its size and/or composition so as to take advantage of the electronic shell filling as well as close atomic packing. The interaction between two such clusters is found to be weak and can form the basis for synthesizing a new class of cluster-assembled crystals with uncommong properties.

512 citations

Journal ArticleDOI
TL;DR: Dysregulated cholesterol metabolism in NAFLD is demonstrated which may contribute to disease severity and cardiovascular risks and is associated with increased SREBP-2 maturation, HMG CoA reductase (HMGCR) expression and decreased phosphorylation of HMGCR.

512 citations

Journal ArticleDOI
TL;DR: The relationship among self-reported pain, crises, and health care utilization for pain in a cohort study of patients with sickle cell disease was examined, with particular emphasis on potentially mutable, causal, nonbiological variables.
Abstract: Although outpatient, emergency department, and hospital visits have been used as indicators of sickle cell disease severity, the relationship between painful episodes and subsequent use of health c...

511 citations

Journal ArticleDOI
TL;DR: In this paper, a regression-type method of estimating the four parameters of a stable distribution is presented, and the estimators found are consistent and approximately unbiased for moderately large sample sizes.
Abstract: A regression-type method of estimating the four parameters of a stable distribution is presented. The estimators found are consistent and approximately unbiased for moderately large sample sizes. Their efficiencies, found through a simulation study, are greater than those of most other estimators for large portions of the parameter space. Moreover, the amount of computation involved is minimal and apparently less than that needed by the methods of Paulson, Holcomb, and Leitch (1975) and of maximum likelihood (DuMouchel 1971). Finally, this method is applied to stock price data from four corporations.

510 citations

Journal ArticleDOI
TL;DR: The authors attempt to demonstrate that genes and the environment can interact in several interesting and potentially subtle ways, that these interactions can be expressed in simple models from which clear empirical predictions can be generated, and that elucidation of the etiology of psychiatric disorders will require the consideration of both genetic and environmental risk factors.
Abstract: The authors present three major models for the joint effect of genes and environment on liability to psychiatric illness: additive effects of genotype and environment, genetic control of sensitivity to the environment, and genetic control of exposure to the environment. Each model is illustrated by several examples, including a quantitative one. The authors attempt to demonstrate that genes and the environment can interact in several interesting and potentially subtle ways, that these interactions can be expressed in simple models from which clear empirical predictions can be generated, and that elucidation of the etiology of psychiatric disorders will require the consideration of both genetic and environmental risk factors.

509 citations


Authors

Showing all 24085 results

NameH-indexPapersCitations
Ronald C. Kessler2741332328983
Carlo M. Croce1981135189007
Nicholas G. Martin1921770161952
Michael Rutter188676151592
Kenneth S. Kendler1771327142251
Bernhard O. Palsson14783185051
Thomas J. Smith1401775113919
Ming T. Tsuang14088573865
Patrick F. Sullivan13359492298
Martin B. Keller13154165069
Michael E. Thase13192375995
Benjamin F. Cravatt13166661932
Jian Zhou128300791402
Rena R. Wing12864967360
Linda R. Watkins12751956454
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202395
2022395
20213,658
20203,437
20193,039
20182,758