Institution
Ohio State University
Education•Columbus, Ohio, United States•
About: Ohio State University is a education organization based out in Columbus, Ohio, United States. It is known for research contribution in the topics: Population & Cancer. The organization has 102421 authors who have published 222715 publications receiving 8373403 citations. The organization is also known as: Ohio State & The Ohio State University.
Topics: Population, Cancer, Poison control, Galaxy, Context (language use)
Papers published on a yearly basis
Papers
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TL;DR: In this paper, a logistic regression analysis of bankrupt major corporations and a matched group of survivor firms was performed to examine the relationships among governance structures and corporate bankruptcy. But, the analysis was limited to a small subset of companies.
Abstract: In this study, we examined the relationships among governance structures and corporate bankruptcy. A logistic regression analysis of bankrupt major corporations and a matched group of survivor firm...
823 citations
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TL;DR: Reduced predation success by largemouth bass in habitats of increased complexity apparently is related to increases in visual barriers provided by plant stems as well as to adaptive changes in bluegill behavior.
Abstract: Data from the literature suggest that predatory success declines as habitat complexity increases. To explain this phenomenon, we studied the predator-prey interaction between largemouth bass Micropterus salmoides and bluegills Lepomis macrochirus in four laboratory pools (2.4–3.0 m diameter, 0.7 m deep), each with a different density (0, 50, 250, 1,000 stems/m2) of artificial plant stems. Behavior was quantified for both predator and prey during largemouth bass feeding bouts lasting 60 minutes. Predation success (number of captures) by largemouth bass was similar at 0 and 50 stems/m2, then declined to near zero at 250 and 1,000 stems/m2. As stem density increased, predator activity declined due to a decrease in behaviors associated with visual contact with prey. Reduced predation success by largemouth bass in habitats of increased complexity apparently is related to increases in visual barriers provided by plant stems as well as to adaptive changes in bluegill behavior.
823 citations
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TL;DR: The graded impact of KDRI on graft outcome makes it a useful decision-making tool at the time of the deceased donor kidney offer, and it is likely that there is a considerable overlap in the KDRI distribution by expanded and nonexpanded criteria donor classification.
Abstract: Background. We propose a continuous kidney donor risk index (KDRI) for deceased donor kidneys, combining donor and transplant variables to quantify graft failure risk. Methods. By using national data from 1995 to 2005, we analyzed 69,440 first-time, kidney-only, deceased donor adult transplants. Cox regression was used to model the risk of death or graft loss, based on donor and transplant factors, adjusting for recipient factors. The proposed KDRI includes 14 donor and transplant factors, each found to be independently associated with graft failure or death: donor age, race, history of hypertension, history of diabetes, serum creatinine, cerebrovascular cause of death, height, weight, donation after cardiac death, hepatitis C virus status, human leukocyte antigen-B and DR mismatch, cold ischemia time, and double or en bloc transplant. The KDRI reflects the rate of graft failure relative to that of a healthy 40-year-old donor. Results. Transplants of kidneys in the highest KDRI quintile (>1.45) had an adjusted 5-year graft survival of 63%, compared with 82% and 79% in the two lowest KDRI quintiles (<0.79 and 0.79-<0.96, respectively). There is a considerable overlap in the KDRI distribution by expanded and nonexpanded criteria donor classification. Conclusions. The graded impact of KDRI on graft outcome makes it a useful decision-making tool at the time of the deceased donor kidney offer.
823 citations
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01 Oct 1996TL;DR: This volume offers eloquent and carefully reasoned arguments for a human-centered approach to the development and implementation of new technology in aviation.
Abstract: This volume offers eloquent and carefully reasoned arguments for a human-centered approach to the development and implementation of new technology in aviation. Part I is an overview of automation in aviation and explains both the application of automation and the concept of human-centered automation. Part II traces the evolution and course of aviation automation. This covers air traffic control and management, as well as aircraft automation. Part III discusses the role of human operators in the aviation system and human-machine integration in the future system. Part IV looks to the future; it expands on novel concepts and discusses requirements for aviation automation and its certification.
823 citations
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University of Texas MD Anderson Cancer Center1, American College of Radiology2, University of Michigan3, University of Wisconsin Hospital and Clinics4, Cleveland Clinic5, University of California, San Francisco6, The Ohio State University Wexner Medical Center7, Yale University8, Fox Chase Cancer Center9, Princess Margaret Cancer Centre10, University Hospitals of Cleveland11, Ohio State University12, University of Oklahoma Health Sciences Center13, Stanford University14, Emory University15, University of Louisville16, Kaiser Permanente17, University of Alabama at Birmingham18, University of Chicago19
TL;DR: After median follow-up duration of 4·5 years, radiotherapy plus cetuximab did not meet the non-inferiority criteria for overall survival, and patients were stratified by T category (T1-T2 vs T3-T4), N category (N0-N2a vs N2b-N3), Zubrod performance status (0 vs 1), and tobacco smoking history (≤10 pack-years).
822 citations
Authors
Showing all 103197 results
Name | H-index | Papers | Citations |
---|---|---|---|
Paul M. Ridker | 233 | 1242 | 245097 |
George Davey Smith | 224 | 2540 | 248373 |
Carlo M. Croce | 198 | 1135 | 189007 |
Eric J. Topol | 193 | 1373 | 151025 |
Bernard Rosner | 190 | 1162 | 147661 |
David H. Weinberg | 183 | 700 | 171424 |
Anil K. Jain | 183 | 1016 | 192151 |
Michael I. Jordan | 176 | 1016 | 216204 |
Kay-Tee Khaw | 174 | 1389 | 138782 |
Richard K. Wilson | 173 | 463 | 260000 |
Yang Yang | 164 | 2704 | 144071 |
Brian L Winer | 162 | 1832 | 128850 |
Jian-Kang Zhu | 161 | 550 | 105551 |
Elaine R. Mardis | 156 | 485 | 226700 |
R. E. Hughes | 154 | 1312 | 110970 |