Institution
Research Triangle Park
Nonprofit•Durham, North Carolina, United States•
About: Research Triangle Park is a nonprofit organization based out in Durham, North Carolina, United States. It is known for research contribution in the topics: Population & Receptor. The organization has 24961 authors who have published 35800 publications receiving 1684504 citations. The organization is also known as: RTP.
Topics: Population, Receptor, Health care, Gene, Environmental exposure
Papers published on a yearly basis
Papers
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21 Oct 2001TL;DR: Experimental results from a prototype confirm that the system adapts to offered load and resource availability, and can reduce server energy usage by 29% or more for a typical Web workload.
Abstract: Internet hosting centers serve multiple service sites from a common hardware base. This paper presents the design and implementation of an architecture for resource management in a hosting center operating system, with an emphasis on energy as a driving resource management issue for large server clusters. The goals are to provision server resources for co-hosted services in a way that automatically adapts to offered load, improve the energy efficiency of server clusters by dynamically resizing the active server set, and respond to power supply disruptions or thermal events by degrading service in accordance with negotiated Service Level Agreements (SLAs).Our system is based on an economic approach to managing shared server resources, in which services "bid" for resources as a function of delivered performance. The system continuously monitors load and plans resource allotments by estimating the value of their effects on service performance. A greedy resource allocation algorithm adjusts resource prices to balance supply and demand, allocating resources to their most efficient use. A reconfigurable server switching infrastructure directs request traffic to the servers assigned to each service. Experimental results from a prototype confirm that the system adapts to offered load and resource availability, and can reduce server energy usage by 29% or more for a typical Web workload.
1,492 citations
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08 Dec 2009TL;DR: In this article, the authors present an introduction to the field of computational topology, combining concepts from topology and algorithms, and the main approach is the discovery of topology through algorithms.
Abstract: Combining concepts from topology and algorithms, this book delivers what its title promises: an introduction to the field of computational topology. Starting with motivating problems in both mathematics and computer science and building up from classic topics in geometric and algebraic topology, the third part of the text advances to persistent homology. This point of view is critically important in turning a mostly theoretical field of mathematics into one that is relevant to a multitude of disciplines in the sciences and engineering. The main approach is the discovery of topology through algorithms. The book is ideal for teaching a graduate or advanced undergraduate course in computational topology, as it develops all the background of both the mathematical and algorithmic aspects of the subject from first principles. Thus the text could serve equally well in a course taught in a mathematics department or computer science department.
1,482 citations
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TL;DR: All of the docking programs were able to generate ligand conformations similar to crystallographically determined protein/ligand complex structures for at least one of the targets; however, scoring functions were less successful at distinguishing the crystallographic conformation from the set of docked poses.
Abstract: Docking is a computational technique that samples conformations of small molecules in protein binding sites; scoring functions are used to assess which of these conformations best complements the protein binding site. An evaluation of 10 docking programs and 37 scoring functions was conducted against eight proteins of seven protein types for three tasks: binding mode prediction, virtual screening for lead identification, and rank-ordering by affinity for lead optimization. All of the docking programs were able to generate ligand conformations similar to crystallographically determined protein/ligand complex structures for at least one of the targets. However, scoring functions were less successful at distinguishing the crystallographic conformation from the set of docked poses. Docking programs identified active compounds from a pharmaceutically relevant pool of decoy compounds; however, no single program performed well for all of the targets. For prediction of compound affinity, none of the docking programs or scoring functions made a useful prediction of ligand binding affinity.
1,469 citations
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Health Canada1, Brigham Young University2, Imperial College London3, University of Washington4, Institute for Health Metrics and Evaluation5, Harvard University6, Research Triangle Park7, University of British Columbia8, King's College London9, University of California, Berkeley10, University of California, San Francisco11, University of Liverpool12, Fudan University13, World Health Organization14, University of Ottawa15, American Cancer Society16, Health Effects Institute17
TL;DR: A fine particulate mass–based RR model that covered the global range of exposure by integrating RR information from different combustion types that generate emissions of particulate matter is developed.
Abstract: Background: Estimating the burden of disease attributable to long-term exposure to fine particulate matter (PM2.5) in ambient air requires knowledge of both the shape and magnitude of the relative ...
1,468 citations
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TL;DR: Despite low average levels of genetic differentiation among Europeans, there is a close correspondence between genetic and geographic distances; indeed, a geographical map of Europe arises naturally as an efficient two-dimensional summary of genetic variation in Europeans.
Abstract: Understanding the genetic structure of human populations is of fundamental interest to medical, forensic and anthropological sciences. Advances in high-throughput genotyping technology have markedly improved our understanding of global patterns of human genetic variation and suggest the potential to use large samples to uncover variation among closely spaced populations. Here we characterize genetic variation in a sample of 3,000 European individuals genotyped at over half a million variable DNA sites in the human genome. Despite low average levels of genetic differentiation among Europeans, we find a close correspondence between genetic and geographic distances; indeed, a geographical map of Europe arises naturally as an efficient two-dimensional summary of genetic variation in Europeans. The results emphasize that when mapping the genetic basis of a disease phenotype, spurious associations can arise if genetic structure is not properly accounted for. In addition, the results are relevant to the prospects of genetic ancestry testing; an individual's DNA can be used to infer their geographic origin with surprising accuracy-often to within a few hundred kilometres.
1,460 citations
Authors
Showing all 25006 results
Name | H-index | Papers | Citations |
---|---|---|---|
Douglas G. Altman | 253 | 1001 | 680344 |
Lewis C. Cantley | 196 | 748 | 169037 |
Ronald Klein | 194 | 1305 | 149140 |
Daniel J. Jacob | 162 | 656 | 76530 |
Christopher P. Cannon | 151 | 1118 | 108906 |
James B. Meigs | 147 | 574 | 115899 |
Lawrence Corey | 146 | 773 | 78105 |
Jeremy K. Nicholson | 141 | 773 | 80275 |
Paul M. Matthews | 140 | 617 | 88802 |
Herbert Y. Meltzer | 137 | 1148 | 81371 |
Charles J. Yeo | 136 | 672 | 76424 |
Benjamin F. Cravatt | 131 | 666 | 61932 |
Timothy R. Billiar | 131 | 838 | 66133 |
Peter Brown | 129 | 908 | 68853 |
King K. Holmes | 124 | 606 | 56192 |