Institution
University of Kentucky
Education•Lexington, Kentucky, United States•
About: University of Kentucky is a education organization based out in Lexington, Kentucky, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 43933 authors who have published 92195 publications receiving 3256087 citations. The organization is also known as: UK.
Topics: Population, Poison control, Health care, Gene, Cancer
Papers published on a yearly basis
Papers
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TL;DR: Dry beans and soybeans are nutrient-dense, fiber-rich, and are high-quality sources of protein, which potentially have multifaceted health-promoting effects, including cholesterol reduction, improved vascular health, preserved bone mineral density, and reduction of menopausal symptoms.
403 citations
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TL;DR: In the nigral lesion groups, there was significantly less loss of TH-IR neurons in the substantia nigra pars compacta of GDNF (47% survival) vs. PBS (9% Survival) treated animals.
403 citations
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TL;DR: The successful growth and development of surgically transplanted endometrial tissue in the rat offers a research model that can be used to study those aspects of endometriosis that cannot be adequately investigated in women.
403 citations
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06 Jun 1994TL;DR: Current results, obtained from a trace-driven simulation, show that prefetching results in as much as a 280% improvement over LRU especially for smaller caches, and can reduce cache size by up to 50%.
Abstract: Despite impressive advances in file system through put resulting from technologies such as high-bandwidth networks and disk arrays, file system latency has not improved and in many cases has become worse. Consequently, file system I/O remains one of the major bottlenecks to operating system performance [10].
This paper investigates an automated predictive approach towards reducing file latency. Automatic Prefetching uses past file accesses to predict future file systemrequests. The objective is to provide data in advance of the request for the data, effectively masking access latencies. We have designed and implement a system to measure the performance benefits of automatic prefetching. Our current results, obtained from a trace-driven simulation, show that prefetching results in as much as a 280% improvement over LRU especially for smaller caches. Alternatively, prefetching can reduce cache size by up to 50%.
402 citations
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TL;DR: The IRAD data demonstrate a 5.7% prevalence of IMH in patients with acute aortic syndromes, and like classic AD, IMH is a highly lethal condition when it involves the ascending aorta and surgical therapy should be considered, but this condition is less critical when limited to the arch or descending aorti.
Abstract: Background— The definition, prevalence, outcomes, and appropriate treatment strategies for acute intramural hematoma (IMH) continue to be debated. Methods and Results— We studied 1010 patients with acute aortic syndromes who were enrolled in the International Registry of Aortic Dissection (IRAD) to delineate the prevalence, presentation, management, and outcomes of acute IMH by comparing these patients with those with classic aortic dissection (AD). Fifty-eight (5.7%) patients had IMH, and this cohort tended to be older (68.7 versus 61.7 years; P<0.001) and more likely to have distal aortic involvement (60.3% versus 35.3%; P<0.001) compared with 952 patients with AD. Patients with IMH described more severe initial pain than did those with AD but were less likely to have ischemic leg pain, pulse deficits, or aortic valve insufficiency; moreover, they required a longer time to diagnosis and more diagnostic tests. Overall mortality of IMH was similar to that of classic AD (20.7% versus 23.9%; P=0.57), as was...
401 citations
Authors
Showing all 44305 results
Name | H-index | Papers | Citations |
---|---|---|---|
Mark P. Mattson | 200 | 980 | 138033 |
Carlo M. Croce | 198 | 1135 | 189007 |
Charles A. Dinarello | 190 | 1058 | 139668 |
Richard A. Gibbs | 172 | 889 | 249708 |
Gang Chen | 167 | 3372 | 149819 |
David A. Bennett | 167 | 1142 | 109844 |
Carl W. Cotman | 165 | 809 | 105323 |
Rodney S. Ruoff | 164 | 666 | 194902 |
David Tilman | 158 | 340 | 149473 |
David Cella | 156 | 1258 | 106402 |
Richard E. Smalley | 153 | 494 | 111117 |
Deepak L. Bhatt | 149 | 1973 | 114652 |
Kevin Murphy | 146 | 728 | 120475 |
Jian Yang | 142 | 1818 | 111166 |
Thomas J. Smith | 140 | 1775 | 113919 |