Institution
University of North Carolina at Chapel Hill
Education•Chapel Hill, North Carolina, United States•
About: University of North Carolina at Chapel Hill is a education organization based out in Chapel Hill, North Carolina, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 81393 authors who have published 185327 publications receiving 9948508 citations. The organization is also known as: University of North Carolina & North Carolina.
Topics: Population, Poison control, Health care, Cancer, Medicine
Papers published on a yearly basis
Papers
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European Institute of Oncology1, Harvard University2, University of Sydney3, Institut Jules Bordet4, Kantonsspital St. Gallen5, University of St. Gallen6, Loyola University Chicago7, Institut Gustave Roussy8, Karolinska Institutet9, University of Bordeaux10, University of Geneva11, University of Pittsburgh12, University of Copenhagen13, University of Newcastle14, Medical University of Vienna15, University of Toronto16, University of Michigan17, Memorial Sloan Kettering Cancer Center18, Mayo Clinic19, Gdańsk Medical University20, University of Gothenburg21, Baylor College of Medicine22, University of North Carolina at Chapel Hill23, Université libre de Bruxelles24, Netherlands Cancer Institute25, Fudan University26, Kyoto University27, King's College London28, University of Göttingen29, Emory University30
TL;DR: The 13th St Gallen International Breast Cancer Conference (2013) Expert Panel reviewed and endorsed substantial new evidence on aspects of the local and regional therapies for early breast cancer, supporting less extensive surgery to the axilla and shorter durations of radiation therapy.
2,831 citations
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29 Nov 1995TL;DR: The discrete Kalman filter as mentioned in this paper is a set of mathematical equations that provides an efficient computational (recursive) means to estimate the state of a process, in a way that minimizes the mean of the squared error.
Abstract: In 1960, R.E. Kalman published his famous paper describing a recursive solution to the discrete-data linear filtering problem. Since that time, due in large part to advances in digital computing, the Kalman filter has been the subject of extensive research and application, particularly in the area of autonomous or assisted navigation. The Kalman filter is a set of mathematical equations that provides an efficient computational (recursive) means to estimate the state of a process, in a way that minimizes the mean of the squared error. The filter is very powerful in several aspects: it supports estimations of past, present, and even future states, and it can do so even when the precise nature of the modeled system is unknown. The purpose of this paper is to provide a practical introduction to the discrete Kalman filter. This introduction includes a description and some discussion of the basic discrete Kalman filter, a derivation, description and some discussion of the extended Kalman filter, and a relatively simple (tangible) example with real numbers & results.
2,811 citations
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TL;DR: Reconstructed time lines, causes, and consequences of change in 12 once diverse and productive estuaries and coastal seas worldwide show similar patterns: Human impacts have depleted >90% of formerly important species, destroyed >65% of seagrass and wetland habitat, degraded water quality, and accelerated species invasions.
Abstract: Estuarine and coastal transformation is as old as civilization yet has dramatically accelerated over the past 150 to 300 years. Reconstructed time lines, causes, and consequences of change in 12 once diverse and productive estuaries and coastal seas worldwide show similar patterns: Human impacts have depleted >90% of formerly important species, destroyed >65% of seagrass and wetland habitat, degraded water quality, and accelerated species invasions. Twentieth-century conservation efforts achieved partial recovery of upper trophic levels but have so far failed to restore former ecosystem structure and function. Our results provide detailed historical baselines and quantitative targets for ecosystem-based management and marine conservation.
2,795 citations
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TL;DR: In this article, the authors examine both the nature of the software problem and the properties of the bullets proposed, and show that there is no single development, in either technology or in management technique, that by itself promises even one order-of-magnitude improvement in productivity, in reliability, in simplicity.
Abstract: But, as we look to the horizon of a decade hence, we see no silver bullet. There is no single development, in either technology or in management technique, that by itself promises even one order-of-magnitude improvement in productivity, in reliability, in simplicity. In this article, I shall try to show why, by examining both the nature of the software problem and the properties of the bullets proposed.
2,794 citations
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Food and Drug Administration1, Université Bordeaux Segalen2, Edinburgh Cancer Research Centre3, MedStar Washington Hospital Center4, European Organisation for Research and Treatment of Cancer5, Memorial Sloan Kettering Cancer Center6, University of North Carolina at Chapel Hill7, University of Texas MD Anderson Cancer Center8, Virginia Commonwealth University9, Ludwig Maximilian University of Munich10
TL;DR: In this paper, the authors compared the three most commonly used definitions of pathological complete response (ypT0 ypN0, ypT0/is ypNs0, and ypTsN0/IsYPN0) for their association with EFS and overall survival in clinical trials of neoadjuvant treatment of breast cancer.
2,793 citations
Authors
Showing all 82249 results
Name | H-index | Papers | Citations |
---|---|---|---|
Walter C. Willett | 334 | 2399 | 413322 |
Salim Yusuf | 231 | 1439 | 252912 |
David J. Hunter | 213 | 1836 | 207050 |
Irving L. Weissman | 201 | 1141 | 172504 |
Eric J. Topol | 193 | 1373 | 151025 |
Dennis W. Dickson | 191 | 1243 | 148488 |
Scott M. Grundy | 187 | 841 | 231821 |
Peidong Yang | 183 | 562 | 144351 |
Patrick O. Brown | 183 | 755 | 200985 |
Eric Boerwinkle | 183 | 1321 | 170971 |
Alan C. Evans | 183 | 866 | 134642 |
Anil K. Jain | 183 | 1016 | 192151 |
Terrie E. Moffitt | 182 | 594 | 150609 |
Aaron R. Folsom | 181 | 1118 | 134044 |
Valentin Fuster | 179 | 1462 | 185164 |