Institution
New York University
Education•New York, New York, United States•
About: New York University is a education organization based out in New York, New York, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 72380 authors who have published 165545 publications receiving 8334030 citations. The organization is also known as: NYU & University of the City of New York.
Topics: Population, Poison control, Context (language use), Health care, Cancer
Papers published on a yearly basis
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TL;DR: Results show that, even though the interuser channel is noisy, cooperation leads not only to an increase in capacity for both users but also to a more robust system, where users' achievable rates are less susceptible to channel variations.
Abstract: Mobile users' data rate and quality of service are limited by the fact that, within the duration of any given call, they experience severe variations in signal attenuation, thereby necessitating the use of some type of diversity. In this two-part paper, we propose a new form of spatial diversity, in which diversity gains are achieved via the cooperation of mobile users. Part I describes the user cooperation strategy, while Part II (see ibid., p.1939-48) focuses on implementation issues and performance analysis. Results show that, even though the interuser channel is noisy, cooperation leads not only to an increase in capacity for both users but also to a more robust system, where users' achievable rates are less susceptible to channel variations.
6,621 citations
TL;DR: In this paper, the authors present evidence consistent with theories that small boards of directors are more effective, using Tobin's Q as an approximation of market valuation, and find an inverse association between board size and firm value in a sample of 452 large U.S. industrial corporations.
6,611 citations
University of Miami1, New York University2, Stanford University3, University of Michigan4, George Washington University5, Indiana University6, University of Pittsburgh7, Queen's University8, North Shore-LIJ Health System9, Johns Hopkins University10, SUNY Downstate Medical Center11, University of Alabama at Birmingham12, University of Florida13, Harvard University14, Boston University15, Case Western Reserve University16, Washington University in St. Louis17, Menorah Medical Center18, Stony Brook University19, University of Kansas20
TL;DR: Variables from the medical history, physical examination, laboratory tests, and radiographs were used to develop sets of criteria that serve different investigative purposes and these proposed criteria utilize classification trees, or algorithms.
Abstract: For the purposes of classification, it should be specified whether osteoarthritis (OA) of the knee is of unknown origin (idiopathic, primary) or is related to a known medical condition or event (secondary). Clinical criteria for the classification of idiopathic OA of the knee were developed through a multicenter study group. Comparison diagnoses included rheumatoid arthritis and other painful conditions of the knee, exclusive of referred or para-articular pain. Variables from the medical history, physical examination, laboratory tests, and radiographs were used to develop sets of criteria that serve different investigative purposes. In contrast to prior criteria, these proposed criteria utilize classification trees, or algorithms.
6,160 citations
Medical University of Vienna1, Boston University2, Arthritis Research UK3, Johns Hopkins University4, University of California, San Francisco5, Charité6, University of Toronto7, National Jewish Health8, Harvard University9, University of Paris10, University of Leeds11, Catholic University of the Sacred Heart12, Erasmus University Rotterdam13, University of Colorado Denver14, Leiden University15, University of California, San Diego16, University of Massachusetts Medical School17, University of Michigan18, University of Washington19, McGill University20, University of Pittsburgh21, Ministry of Health (New Zealand)22, New York University23, University of Manchester24, University of Amsterdam25
TL;DR: This new classification system redefines the current paradigm of RA by focusing on features at earlier stages of disease that are associated with persistent and/or erosive disease, rather than defining the disease by its late-stage features.
Abstract: Objective The 1987 American College of Rheumatology (ACR; formerly the American Rheumatism Association) classification criteria for rheumatoid arthritis (RA) have been criticised for their lack of sensitivity in early disease. This work was undertaken to develop new classification criteria for RA. Methods A joint working group from the ACR and the European League Against Rheumatism developed, in three phases, a new approach to classifying RA. The work focused on identifying, among patients newly presenting with undifferentiated inflammatory synovitis, factors that best discriminated between those who were and those who were not at high risk for persistent and/or erosive disease—this being the appropriate current paradigm underlying the disease construct ‘RA’. Results In the new criteria set, classification as ‘definite RA’ is based on the confirmed presence of synovitis in at least one joint, absence of an alternative diagnosis better explaining the synovitis, and achievement of a total score of 6 or greater (of a possible 10) from the individual scores in four domains: number and site of involved joints (range 0–5), serological abnormality (range 0–3), elevated acute-phase response (range 0–1) and symptom duration (two levels; range 0–1). Conclusion This new classification system redefines the current paradigm of RA by focusing on features at earlier stages of disease that are associated with persistent and/or erosive disease, rather than defining the disease by its late-stage features. This will refocus attention on the important need for earlier diagnosis and institution of effective disease-suppressing therapy to prevent or minimise the occurrence of the undesirable sequelae that currently comprise the paradigm underlying the disease construct ‘RA’.
5,964 citations
Baylor College of Medicine1, Chinese Academy of Sciences2, Chinese National Human Genome Center3, University of Hong Kong4, The Chinese University of Hong Kong5, Hong Kong University of Science and Technology6, Illumina7, McGill University8, Washington University in St. Louis9, University of California, San Francisco10, Wellcome Trust Sanger Institute11, Beijing Normal University12, Health Sciences University of Hokkaido13, Shinshu University14, University of Tsukuba15, Howard University16, University of Ibadan17, Case Western Reserve University18, University of Utah19, Cold Spring Harbor Laboratory20, Johns Hopkins University21, University of Oxford22, North Carolina State University23, National Institutes of Health24, Massachusetts Institute of Technology25, Chinese Academy of Social Sciences26, Kyoto University27, Nagasaki University28, Wellcome Trust29, Genome Canada30, Foundation for the National Institutes of Health31, University of Maryland, Baltimore32, Vanderbilt University33, Stanford University34, New York University35, University of California, Berkeley36, University of Oklahoma37, University of New Mexico38, Université de Montréal39, University of California, Los Angeles40, University of Michigan41, University of Wisconsin-Madison42, London School of Economics and Political Science43, Genetic Alliance44, GlaxoSmithKline45, University of Washington46, Harvard University47, University of Chicago48, Fred Hutchinson Cancer Research Center49, University of Tokyo50
TL;DR: The HapMap will allow the discovery of sequence variants that affect common disease, will facilitate development of diagnostic tools, and will enhance the ability to choose targets for therapeutic intervention.
Abstract: The goal of the International HapMap Project is to determine the common patterns of DNA sequence variation in the human genome and to make this information freely available in the public domain. An international consortium is developing a map of these patterns across the genome by determining the genotypes of one million or more sequence variants, their frequencies and the degree of association between them, in DNA samples from populations with ancestry from parts of Africa, Asia and Europe. The HapMap will allow the discovery of sequence variants that affect common disease, will facilitate development of diagnostic tools, and will enhance our ability to choose targets for therapeutic intervention.
5,926 citations
Authors
Showing all 73237 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| Rob Knight | 201 | 1061 | 253207 |
| Virginia M.-Y. Lee | 194 | 993 | 148820 |
| Frank E. Speizer | 193 | 636 | 135891 |
| Stephen V. Faraone | 188 | 1427 | 140298 |
| Eric R. Kandel | 184 | 603 | 113560 |
| Andrei Shleifer | 171 | 514 | 271880 |
| Eliezer Masliah | 170 | 982 | 127818 |
| Roderick T. Bronson | 169 | 679 | 107702 |
| Timothy A. Springer | 167 | 669 | 122421 |
| Alvaro Pascual-Leone | 165 | 969 | 98251 |
| Nora D. Volkow | 165 | 958 | 107463 |
| Dennis R. Burton | 164 | 683 | 90959 |
| Charles N. Serhan | 158 | 728 | 84810 |
| Giacomo Bruno | 158 | 1687 | 124368 |
| Tomas Hökfelt | 158 | 1033 | 95979 |