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Institution

University of Iowa

EducationIowa City, Iowa, United States
About: University of Iowa is a education organization based out in Iowa City, Iowa, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 49229 authors who have published 109171 publications receiving 5021465 citations. The organization is also known as: UI & The University of Iowa.


Papers
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Journal ArticleDOI
TL;DR: A neural network is developed to forecast rainfall intensity fields in space and time using a three-layer learning network with input, hidden, and output layers and is shown to perform well when a relatively large number of hidden nodes are utilized.

675 citations

Journal ArticleDOI
TL;DR: These guidelines represent the current recommendations on the diagnosis and management of prolactinomas based upon comprehensive analysis and synthesis of all available data.
Abstract: In June 2005, an ad hoc Expert Committee formed by the Pituitary Society convened during the 9th International Pituitary Congress in San Diego, California. Members of this committee consisted of invited international experts in the field, and included endocrinologists and neurosurgeons with recognized expertise in the management of prolactinomas. Discussions were held that included all interested participants to the Congress and resulted in formulation of these guidelines, which represent the current recommendations on the diagnosis and management of prolactinomas based upon comprehensive analysis and synthesis of all available data.

674 citations

Journal ArticleDOI
TL;DR: In this article, the authors show that firms and industries with lower market model R2 statistics exhibit higher association between current returns and future earnings, indicating more information about future earnings in current stock returns.
Abstract: Roll (1988) observes low R2 statistics for common asset pricing models due to vigorousfirms-specific returns variation not associated with public information. He concludes (p. 56) that this implies â¬Seither private information or else occasional frenzy unrelated to concrete information.â¬?We show that firms and industries with lower market model R2 statistics exhibit higher association between current returns and future earnings, indicating more information about future earnings in current stock returns. This supports Rollâ¬"s first interpretation ⬠higher firms-specific returns variation as a fraction of total variation signals more information-laden stock prices and, therefore, more efficient stock markets.

674 citations

Journal ArticleDOI
28 Jun 2002-Science
TL;DR: Myeloperoxidase, an abundant mammalian phagocyte hemoprotein thought to primarily mediate host defense reactions, can directly modulate vascular inflammatory responses by regulating NO bioavailability during acute inflammation.
Abstract: Myeloperoxidase (MPO) is an abundant mammalian phagocyte hemoprotein thought to primarily mediate host defense reactions. Although its microbicidal functions are well established in vitro, humans deficient in MPO are not at unusual risk of infection. MPO was observed herein to modulate the vascular signaling and vasodilatory functions of nitric oxide (NO) during acute inflammation. After leukocyte degranulation, MPO localized in and around vascular endothelial cells in a rodent model of acute endotoxemia and impaired endothelium-dependent relaxant responses, to which MPO-deficient mice were resistant. Altered vascular responsiveness was due to catalytic consumption of NO by substrate radicals generated by MPO. Thus MPO can directly modulate vascular inflammatory responses by regulating NO bioavailability.

674 citations

Journal ArticleDOI
TL;DR: The probabilistic gating of voltage-dependent ion channels is a source of electrical 'channel noise' in neurons that might be exploited by future cochlear implants in order to improve the temporal representation of sound.

673 citations


Authors

Showing all 49661 results

NameH-indexPapersCitations
Stephen V. Faraone1881427140298
Jie Zhang1784857221720
D. M. Strom1763167194314
Bradley T. Hyman169765136098
John H. Seinfeld165921114911
David Jonathan Hofman1591407140442
Stephen J. O'Brien153106293025
John T. Cacioppo147477110223
Mark Raymond Adams1471187135038
E. L. Barberio1431605115709
Andrew Ivanov142181297390
Stephen J. Lippard141120189269
Russell Richard Betts140132395678
Barry Blumenfeld1401909105694
Marcus Hohlmann140135694739
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023154
2022727
20214,128
20203,902
20193,763
20183,659