Institution
University of York
Education•York, York, United Kingdom•
About: University of York is a education organization based out in York, York, United Kingdom. It is known for research contribution in the topics: Population & Health care. The organization has 22089 authors who have published 56925 publications receiving 2458285 citations. The organization is also known as: York University & Ebor..
Topics: Population, Health care, Context (language use), Randomized controlled trial, Cost effectiveness
Papers published on a yearly basis
Papers
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Wellcome Trust Sanger Institute1, Seattle Biomed2, Katholieke Universiteit Leuven3, GATC Biotech4, Max Planck Society5, Washington University in St. Louis6, University of Trieste7, International Centre for Genetic Engineering and Biotechnology8, European Bioinformatics Institute9, University of São Paulo10, National Scientific and Technical Research Council11, Université catholique de Louvain12, University of London13, University of Edinburgh14, University of Glasgow15, University of Wisconsin-Madison16, University of York17, University of Cambridge18, University of Washington19
TL;DR: The organization of protein-coding genes into long, strand-specific, polycistronic clusters and lack of general transcription factors in the L. major, Trypanosoma brucei, and Tritryp genomes suggest that the mechanisms regulating RNA polymerase II–directed transcription are distinct from those operating in other eukaryotes, although the trypanosomatids appear capable of chromatin remodeling.
Abstract: Leishmania species cause a spectrum of human diseases in tropical and subtropical regions of the world. We have sequenced the 36 chromosomes of the 32.8-megabase haploid genome of Leishmania major (Friedlin strain) and predict 911 RNA genes, 39 pseudogenes, and 8272 protein-coding genes, of which 36% can be ascribed a putative function. These include genes involved in host-pathogen interactions, such as proteolytic enzymes, and extensive machinery for synthesis of complex surface glycoconjugates. The organization of protein-coding genes into long, strand-specific, polycistronic clusters and lack of general transcription factors in the L. major, Trypanosoma brucei, and Trypanosoma cruzi (Tritryp) genomes suggest that the mechanisms regulating RNA polymerase II-directed transcription are distinct from those operating in other eukaryotes, although the trypanosomatids appear capable of chromatin remodeling. Abundant RNA-binding proteins are encoded in the Tritryp genomes, consistent with active posttranscriptional regulation of gene expression.
1,357 citations
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Max Planck Society1, Harvard University2, Massachusetts Institute of Technology3, University of Hamburg4, Medical University of Vienna5, Montreal Neurological Institute and Hospital6, University of Düsseldorf7, New York University8, Nathan Kline Institute for Psychiatric Research9, University of York10
TL;DR: An overarching organization of large-scale connectivity that situates the default-mode network at the opposite end of a spectrum from primary sensory and motor regions is described, suggesting that the role of the DMN in cognition might arise from its position at one extreme of a hierarchy, allowing it to process transmodal information that is unrelated to immediate sensory input.
Abstract: Understanding how the structure of cognition arises from the topographical organization of the cortex is a primary goal in neuroscience. Previous work has described local functional gradients extending from perceptual and motor regions to cortical areas representing more abstract functions, but an overarching framework for the association between structure and function is still lacking. Here, we show that the principal gradient revealed by the decomposition of connectivity data in humans and the macaque monkey is anchored by, at one end, regions serving primary sensory/motor functions and at the other end, transmodal regions that, in humans, are known as the default-mode network (DMN). These DMN regions exhibit the greatest geodesic distance along the cortical surface-and are precisely equidistant-from primary sensory/motor morphological landmarks. The principal gradient also provides an organizing spatial framework for multiple large-scale networks and characterizes a spectrum from unimodal to heteromodal activity in a functional metaanalysis. Together, these observations provide a characterization of the topographical organization of cortex and indicate that the role of the DMN in cognition might arise from its position at one extreme of a hierarchy, allowing it to process transmodal information that is unrelated to immediate sensory input.
1,346 citations
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TL;DR: The authors found that participants were faster to respond to negatively valenced stimuli when pushing the lever away (avoid) than when pulling it toward them (approach) but were faster than to positive stimuli by pulling than by pushing a lever, even when evaluation of the stimuli was irrelevant to the participants' conscious task.
Abstract: Research on automatic attitude activation has documented a pervasive tendency to nonconsciously classify most if not all incoming stimuli as either good or bad. Two experiments tested a functional explanation for this effect. The authors hypothesized that automatic evaluation results directly in behavioral predispositions toward the stimulus, such that positive evaluations produce immediate approach tendencies, and negative evaluations produce immediate avoidance tendencies. Participants responded to attitude object stimuli either by pushing or by pulling a lever. Consistent with the hypothesis, participants were faster to respond to negatively valenced stimuli when pushing the lever away (avoid) than when pulling it toward them (approach) but were faster to respond to positive stimuli by pulling than by pushing the lever. This pattern held even when evaluation of the stimuli was irrelevant to the participants’ conscious task. The automatic classification of stimuli as either good or bad appears to have d...
1,339 citations
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TL;DR: The nonparametric model was preferred for its simplicity while performing similarly to the other models, and being independent of the value set that is used, it can be applied to transform any EQ-5D-3L value set into EQ- 5D-5L index values.
1,327 citations
01 Jan 2006
TL;DR: Titles & abstracts as discussed by the authors include N=54, N=121, N = 89 Exclude N = 0 Exclude n = 1,024, and exclude N = 21.
Abstract: Titles & abstract s Titles & abstracts Include N=54 Include N=121 Include N=89 Exclude N = 0 Exclude N = 1,024 Exclude N = 21
1,325 citations
Authors
Showing all 22432 results
Name | H-index | Papers | Citations |
---|---|---|---|
Cyrus Cooper | 204 | 1869 | 206782 |
Eric R. Kandel | 184 | 603 | 113560 |
Ian J. Deary | 166 | 1795 | 114161 |
Elio Riboli | 158 | 1136 | 110499 |
Claude Bouchard | 153 | 1076 | 115307 |
Robert Plomin | 151 | 1104 | 88588 |
Kevin J. Gaston | 150 | 750 | 85635 |
John R. Hodges | 149 | 812 | 82709 |
Myrna M. Weissman | 149 | 772 | 108259 |
Jeffrey A. Lieberman | 145 | 706 | 85306 |
Howard L. Weiner | 144 | 1047 | 91424 |
Dan J. Stein | 142 | 1727 | 132718 |
Jedd D. Wolchok | 140 | 713 | 123336 |
Bernard Henrissat | 139 | 593 | 100002 |
Joseph E. LeDoux | 139 | 478 | 91500 |