Institution
University at Buffalo
Education•Buffalo, New York, United States•
About: University at Buffalo is a education organization based out in Buffalo, New York, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 33773 authors who have published 63840 publications receiving 2278954 citations. The organization is also known as: UB & State University of New York at Buffalo.
Papers published on a yearly basis
Papers
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TL;DR: In this article, an explanation on how foreign direct investment (FDI) generates externalities in the form of technology transfer is given. But the authors distinguish between the level and rate effects of spillovers on the productivity of domestic firms.
537 citations
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European Bioinformatics Institute1, Natural Environment Research Council2, Wellcome Trust Sanger Institute3, University of Cambridge4, Stanford University5, Swiss Institute of Bioinformatics6, University of British Columbia7, Livestrong Foundation8, Institute for Systems Biology9, University of California, Davis10, Lockheed Martin Corporation11, University of Edinburgh12, Newcastle University13, Medical Research Council14, Aberystwyth University15, National Science Foundation16, Beilstein-Institut17, National Institutes of Health18, Boston Children's Hospital19, Norwegian University of Science and Technology20, University of Georgia21, University of California, Berkeley22, University of Texas Southwestern Medical Center23, Lancaster University24, German Cancer Research Center25, University of Manchester26, Harvard University27, Iowa State University28, Bristol-Myers Squibb29, University at Buffalo30, AstraZeneca31, Trinity College, Dublin32, Wageningen University and Research Centre33, Ghent University34
TL;DR: The Minimum Information for Biological and Biomedical Investigations (MIBBI) project aims to foster the coordinated development of minimum-information checklists and provide a resource for those exploring the range of extant checklists.
Abstract: The Minimum Information for Biological and Biomedical Investigations (MIBBI) project aims to foster the coordinated development of minimum-information checklists and provide a resource for those exploring the range of extant checklists.
535 citations
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U. Bhawandeep1, Vardan Khachatryan, Albert M. Sirunyan, Armen Tumasyan +2289 more•Institutions (147)
TL;DR: In this paper, the trigger system consists of two levels designed to select events of potential physics interest from a GHz (MHz) interaction rate of proton-proton (heavy ion) collisions.
Abstract: This paper describes the CMS trigger system and its performance during Run 1 of the LHC. The trigger system consists of two levels designed to select events of potential physics interest from a GHz (MHz) interaction rate of proton-proton (heavy ion) collisions. The first level of the trigger is implemented in hardware, and selects events containing detector signals consistent with an electron, photon, muon, tau lepton, jet, or missing transverse energy. A programmable menu of up to 128 object-based algorithms is used to select events for subsequent processing. The trigger thresholds are adjusted to the LHC instantaneous luminosity during data taking in order to restrict the output rate to 100 kHz, the upper limit imposed by the CMS readout electronics. The second level, implemented in software, further refines the purity of the output stream, selecting an average rate of 400 Hz for offline event storage. The objectives, strategy and performance of the trigger system during the LHC Run 1 are described.
532 citations
National Institutes of Health1, Harvard University2, Mayo Clinic3, New York University4, Utrecht University5, University of Minnesota6, Mercy Medical Center (Baltimore, Maryland)7, American Cancer Society8, Fred Hutchinson Cancer Research Center9, Vanderbilt University10, University of Cambridge11, University of California, San Francisco12, German Cancer Research Center13, French Institute of Health and Medical Research14, Johns Hopkins University15, University of Toronto16, International Agency for Research on Cancer17, Michigan State University18, Veterans Health Administration19, Umeå University20, University of Texas MD Anderson Cancer Center21, Science Applications International Corporation22, Ohio State University23, Memorial Sloan Kettering Cancer Center24, Group Health Cooperative25, Imperial College London26, Aalborg University27, Baylor College of Medicine28, Yale University29, National and Kapodistrian University of Athens30, Kaiser Permanente31, National Institute for Health and Welfare32, University at Buffalo33
TL;DR: An association between a locus on 9q34 and pancreatic cancer marked by the SNP rs505922 is identified, consistent with earlier epidemiologic evidence suggesting that people with blood group O may have a lower risk of pancreaticcancer than those with groups A or B.
Abstract: We conducted a two-stage genome-wide association study of pancreatic cancer, a cancer with one of the lowest survival rates worldwide. We genotyped 558,542 SNPs in 1,896 individuals with pancreatic cancer and 1,939 controls drawn from 12 prospective cohorts plus one hospital-based case-control study. We conducted a combined analysis of these groups plus an additional 2,457 affected individuals and 2,654 controls from eight case-control studies, adjusting for study, sex, ancestry and five principal components. We identified an association between a locus on 9q34 and pancreatic cancer marked by the SNP rs505922 (combined P = 5.37 x 10(-8); multiplicative per-allele odds ratio 1.20; 95% confidence interval 1.12-1.28). This SNP maps to the first intron of the ABO blood group gene. Our results are consistent with earlier epidemiologic evidence suggesting that people with blood group O may have a lower risk of pancreatic cancer than those with groups A or B.
532 citations
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TL;DR: An empirical model of firn densification from the surface to the zone of pore close-off has been constructed in this paper, where fundamental rate equations have been derived for the first two stages of densification.
Abstract: An empirical model of firn densification from the surface to the zone of pore close-off has been constructed. Fundamental rate equations have been derived for the first two stages of densification. In the first stage, for densities less than 0.55 Mg m−3, the densification rate is proportional to the mean annual accumulation times the term (ρ i − ρ), where ρ is the density of the snow and ρ i is the density of pure ice. The densification rate in the second stage, where 0.55 Mg m −3 < ρ < 0.8 Mg m−3, is proportional to the square root of the accumulation rate and to (ρi− ρ). Depth–density and depth–age calculations from this model are compared with observation. Model accumulation rates are within about 20% of values obtained by other techniques. It is suggested that depth intervals of constant density in some Antarctic cores may represent a synchronous event in the 1880 ’s when ten times the normal accumulation fell within a year or two.
529 citations
Authors
Showing all 34002 results
Name | H-index | Papers | Citations |
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Rakesh K. Jain | 200 | 1467 | 177727 |
Julie E. Buring | 186 | 950 | 132967 |
Anil K. Jain | 183 | 1016 | 192151 |
Donald G. Truhlar | 165 | 1518 | 157965 |
Roger A. Nicoll | 165 | 397 | 84121 |
Bruce L. Miller | 163 | 1153 | 115975 |
David R. Holmes | 161 | 1624 | 114187 |
Suvadeep Bose | 154 | 960 | 129071 |
Ashok Kumar | 151 | 5654 | 164086 |
Philip S. Yu | 148 | 1914 | 107374 |
Hugh A. Sampson | 147 | 816 | 76492 |
Aaron Dominguez | 147 | 1968 | 113224 |
Gregory R Snow | 147 | 1704 | 115677 |
J. S. Keller | 144 | 981 | 98249 |
C. Ronald Kahn | 144 | 525 | 79809 |