scispace - formally typeset
Search or ask a question
Institution

University at Buffalo

EducationBuffalo, 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
More filters
Journal ArticleDOI
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

Journal ArticleDOI
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

Journal ArticleDOI
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

Laufey T. Amundadottir1, Peter Kraft2, Rachael Z. Stolzenberg-Solomon1, Charles S. Fuchs2, Gloria M. Petersen3, Alan A. Arslan4, H. Bas Bueno-de-Mesquita5, Myron D. Gross6, Kathy J. Helzlsouer7, Eric J. Jacobs8, Andrea Z. LaCroix9, Wei Zheng10, Demetrius Albanes1, William R. Bamlet3, Christine D. Berg1, Franco Berrino, Sheila Bingham11, Julie E. Buring2, Paige M. Bracci12, Federico Canzian13, Françoise Clavel-Chapelon14, Sandra Clipp15, Michelle Cotterchio16, Mariza de Andrade3, Eric J. Duell17, John W. Fox18, Steven Gallinger16, J. Michael Gaziano19, J. Michael Gaziano2, Edward Giovannucci2, Michael Goggins15, Carlos A. González, Göran Hallmans20, Susan E. Hankinson2, Manal Hassan21, Elizabeth A. Holly12, David J. Hunter2, Amy K. Hutchinson1, Amy K. Hutchinson22, Rebecca D. Jackson23, Kevin B. Jacobs22, Kevin B. Jacobs1, Mazda Jenab17, Rudolf Kaaks13, Alison P. Klein15, Charles Kooperberg9, Robert C. Kurtz24, Donghui Li21, Shannon M. Lynch1, Margaret T. Mandelson25, Margaret T. Mandelson9, Robert R. McWilliams3, Julie B. Mendelsohn1, Dominique S. Michaud26, Dominique S. Michaud2, Sara H. Olson24, Kim Overvad27, Alpa V. Patel8, Petra H.M. Peeters5, Petra H.M. Peeters26, Aleksandar Rajkovic28, Elio Riboli26, Harvey A. Risch29, Xiao-Ou Shu10, Gilles Thomas1, Geoffrey S. Tobias1, Dimitrios Trichopoulos2, Dimitrios Trichopoulos30, Stephen K. Van Den Eeden31, Jarmo Virtamo32, Jean Wactawski-Wende33, Brian M. Wolpin2, Herbert Yu29, Kai Yu1, Anne Zeleniuch-Jacquotte4, Stephen J. Chanock1, Patricia Hartge1, Robert N. Hoover1 
01 Jan 2009
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

Journal ArticleDOI
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

NameH-indexPapersCitations
Rakesh K. Jain2001467177727
Julie E. Buring186950132967
Anil K. Jain1831016192151
Donald G. Truhlar1651518157965
Roger A. Nicoll16539784121
Bruce L. Miller1631153115975
David R. Holmes1611624114187
Suvadeep Bose154960129071
Ashok Kumar1515654164086
Philip S. Yu1481914107374
Hugh A. Sampson14781676492
Aaron Dominguez1471968113224
Gregory R Snow1471704115677
J. S. Keller14498198249
C. Ronald Kahn14452579809
Network Information
Related Institutions (5)
University of Minnesota
257.9K papers, 11.9M citations

97% related

University of Washington
305.5K papers, 17.7M citations

96% related

University of Michigan
342.3K papers, 17.6M citations

96% related

Columbia University
224K papers, 12.8M citations

96% related

University of Pennsylvania
257.6K papers, 14.1M citations

96% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202388
2022363
20212,772
20202,695
20192,527
20182,500