Institution
Université de Sherbrooke
Education•Sherbrooke, Quebec, Canada•
About: Université de Sherbrooke is a education organization based out in Sherbrooke, Quebec, Canada. It is known for research contribution in the topics: Population & Receptor. The organization has 14922 authors who have published 28783 publications receiving 792511 citations. The organization is also known as: Universite de Sherbrooke & Sherbrooke University.
Topics: Population, Receptor, Health care, Angiotensin II, Poison control
Papers published on a yearly basis
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TL;DR: This poster presents a meta-modelling procedure called “spot-spot localization analysis” (SLA) which allows for direct measurement of the effects of anesthetics on the tremor and tremor-like symptoms in patients.
427 citations
University of Edinburgh1, Aarhus University2, University of Colorado Boulder3, National Ecological Observatory Network4, Institute of Arctic and Alpine Research5, Smithsonian Institution6, Lund University7, VU University Amsterdam8, University of Lapland9, Northern Arizona University10, Bigelow Laboratory For Ocean Sciences11, University of British Columbia12, University of Washington13, Grand Valley State University14, Swiss Federal Institute for Forest, Snow and Landscape Research15, Max Planck Society16, University of Zurich17, Université de Sherbrooke18, University of Greifswald19, University of Parma20, Memorial University of Newfoundland21, Université du Québec à Trois-Rivières22, University of Gothenburg23, Leiden University24, University of California, Riverside25, Qatar University26, Mississippi State University27, University of Barcelona28, Utrecht University29, Umeå University30, Adam Mickiewicz University in Poznań31, University of Alaska Anchorage32, Wageningen University and Research Centre33, Alaska Department of Fish and Game34, University of Tromsø35, University of Vienna36, University of Copenhagen37, University of Oulu38, Helmholtz Centre for Environmental Research - UFZ39, Spanish National Research Council40, Queen's University41, Saint Mary's University42, Oak Ridge National Laboratory43, University of Aberdeen44, University of Saskatchewan45, Vrije Universiteit Brussel46, University of Victoria47, Swiss Federal Institute of Aquatic Science and Technology48, Norwegian University of Science and Technology49, Research Institute for Nature and Forest50, Florida International University51, Moscow State University52, University of Alaska Fairbanks53, University of Waterloo54, Laval University55, Deakin University56, University of Bonn57, United States Forest Service58, Simon Fraser University59, University of Iceland60, University Centre in Svalbard61, United States Fish and Wildlife Service62, Colorado State University63, University of Texas at El Paso64, University of Stirling65, University of Innsbruck66, University of Oxford67, Rocky Mountain Biological Laboratory68, Pacific Northwest National Laboratory69, University of Camerino70, University of Insubria71, University of New South Wales72, University of Manchester73, National University of Cordoba74, University of Arizona75, Santa Fe Institute76, Harvard University77, King Juan Carlos University78, Estonian University of Life Sciences79, Kyoto University80, World Agroforestry Centre81, Radboud University Nijmegen82, Forschungszentrum Jülich83, Macquarie University84, University of Regensburg85, University of Minnesota86, University of Sydney87, Santa Clara University88, Algoma University89, Komarov Botanical Institute90, University of Wisconsin–Eau Claire91
TL;DR: Biome-wide relationships between temperature, moisture and seven key plant functional traits across the tundra and over time show that community height increased with warming across all sites, whereas other traits lagged behind predicted rates of change.
Abstract: The tundra is warming more rapidly than any other biome on Earth, and the potential ramifications are far-reaching because of global feedback effects between vegetation and climate. A better understanding of how environmental factors shape plant structure and function is crucial for predicting the consequences of environmental change for ecosystem functioning. Here we explore the biome-wide relationships between temperature, moisture and seven key plant functional traits both across space and over three decades of warming at 117 tundra locations. Spatial temperature-trait relationships were generally strong but soil moisture had a marked influence on the strength and direction of these relationships, highlighting the potentially important influence of changes in water availability on future trait shifts in tundra plant communities. Community height increased with warming across all sites over the past three decades, but other traits lagged far behind predicted rates of change. Our findings highlight the challenge of using space-for-time substitution to predict the functional consequences of future warming and suggest that functions that are tied closely to plant height will experience the most rapid change. They also reveal the strength with which environmental factors shape biotic communities at the coldest extremes of the planet and will help to improve projections of functional changes in tundra ecosystems with climate warming.
425 citations
TL;DR: Promising results are obtained when applying the Texture Spectrum to classify four of Brodatz's natural images.
425 citations
TL;DR: A survey of soluble human protein complexes containing components of the transcription and RNA processing machineries using protein affinity purification coupled to mass spectrometry defines a high-density protein interaction network for the mammalian transcription machinery and uncover multiple regulatory factors that target the transcription machinery.
424 citations
TL;DR: In this article, the authors use semiparametric and flexible nonlinear parametric modeling methods in an attempt to provide more robust inferences and find little evidence in favour of the environmental Kuznets curve hypothesis.
424 citations
Authors
Showing all 15051 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| Masashi Yanagisawa | 130 | 524 | 83631 |
| Joseph V. Bonventre | 126 | 596 | 61009 |
| Jeffrey L. Benovic | 99 | 264 | 30041 |
| Alessio Fasano | 96 | 478 | 34580 |
| Graham Pawelec | 89 | 572 | 27373 |
| Simon C. Robson | 88 | 552 | 29808 |
| Paul B. Corkum | 88 | 576 | 37200 |
| Mario Leclerc | 88 | 374 | 35961 |
| Stephen M. Collins | 86 | 320 | 25646 |
| Ed Harlow | 86 | 190 | 61008 |
| William D. Fraser | 85 | 827 | 30155 |
| Jean Cadet | 83 | 372 | 24000 |
| Vincent Giguère | 82 | 227 | 27481 |
| Robert Gurny | 81 | 396 | 28391 |
| Jean-Michel Gaillard | 81 | 410 | 26780 |