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Institution

University of Waterloo

EducationWaterloo, Ontario, Canada
About: University of Waterloo is a education organization based out in Waterloo, Ontario, Canada. It is known for research contribution in the topics: Population & Context (language use). The organization has 36093 authors who have published 93906 publications receiving 2948139 citations. The organization is also known as: UW & uwaterloo.


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Journal ArticleDOI
TL;DR: The results have implications for clinical assessment and management, genetic counseling and research into pathophysiological mechanisms, including several of later onset in 22q11DS.
Abstract: 22q11 Deletion Syndrome (22q11DS) is a common microdeletion syndrome with multisystem expression. Phenotypic features vary with age, ascertainment, and assessment. We systematically assessed 78 adults (36 M, 42 F; mean age 31.5, SD 10.5 years) with a 22q11.2 deletion ascertained through an adult congenital cardiac clinic (n = 35), psychiatric-related sources (n = 39), or as affected parents of subjects (n = 4). We recorded the lifetime prevalence of features requiring attention, with 95% confidence intervals (CI) not overlapping zero. Subtle learning difficulties, hypernasality and facial gestalt were not included. We investigated ascertainment effects using non-overlapping subgroups ascertained with tetralogy of Fallot (n = 31) or schizophrenia (n = 31). Forty-three features met inclusion criteria and were present in 5% or more patients, including several of later onset (e.g., hypothyroidism, cholelithiasis). Number of features per patient (median 9, range 3-22) correlated with hospitalizations (P = 0.0002) and, when congenital features were excluded, with age (P = 0.02). Adjusting for ascertainment, 25.8% (95% CI, 9.5-42.1%) of patients had cardiac anomalies and 22.6% (95% CI, 7.0-38.2%) had schizophrenia. Ascertainment subgroups were otherwise similar in median number and prevalence of features. Non-characteristic features are common in 22q11DS. Adjusting for ascertainment effects is important. Many treatable conditions may be anticipated and features may accumulate over time. The results have implications for clinical assessment and management, genetic counseling and research into pathophysiological mechanisms.

426 citations

Journal Article
TL;DR: In this article, the authors present an extensive and careful study of the software implementation on workstations of the NIST-recommended elliptic curves over binary fields, and present the results of their implementation in C on a Pentium II 400MHz workstation.
Abstract: This paper presents an extensive and careful study of the software implementation on workstations of the NIST-recommended elliptic curves over binary fields. We also present the results of our implementation in C on a Pentium II 400MHz workstation.

425 citations

Journal ArticleDOI
TL;DR: In this article, the authors present an exploration of weak lensing by large-scale structure in the linear regime, using the third-year (T0003) CFHTLS Wide data release.
Abstract: Aims. We present an exploration of weak lensing by large-scale structure in the linear regime, using the third-year (T0003) CFHTLS Wide data release. Our results place tight constraints on the scaling of the amplitude of the matter power spectrum σ8 with the matter density Ωm. Methods. Spanning 57 square degrees to i � = 24.5 over three independent fields, the unprecedented contiguous area of this survey permits high signal-to-noise measurements of two-point shear statistics from 1 arcmin to 4 degrees. Understanding systematic errors in our analysis is vital in interpreting the results. We therefore demonstrate the percent-level accuracy of our method using STEP simulations, an E/B-mode decomposition of the data, and the star-galaxy cross correlation function. We also present a thorough analysis of the galaxy redshift distribution using redshift data from the CFHTLS T0003 Deep fields that probe the same spatial regions as the Wide fields. Results. We find σ8(Ωm/0.25) 0.64 = 0.785 ± 0.043 using the aperture-mass statistic for the full range of angular scales for an assumed flat cosmology, in excellent agreement with WMAP3 constraints. The largest physical scale probed by our analysis is 85 Mpc, assuming a mean redshift of lenses of 0.5 and a ΛCDM cosmology. This allows for the first time to constrain cosmology using only cosmic shear measurements in the linear regime. Using only angular scales θ> 85 arcmin, we find σ8(Ωm/0.25) 0.53 lin = 0.837 ± 0.084, which agree with the results from our full analysis. Combining our results with data from WMAP3, we find Ωm = 0.248 ± 0.019 and σ8 = 0.771 ± 0.029.

425 citations

Journal ArticleDOI
Anne D. Bjorkman1, Anne D. Bjorkman2, Isla H. Myers-Smith2, Sarah C. Elmendorf3, Sarah C. Elmendorf4, Sarah C. Elmendorf5, Signe Normand1, Nadja Rüger6, Pieter S. A. Beck, Anne Blach-Overgaard1, Daan Blok7, J. Hans C. Cornelissen8, Bruce C. Forbes9, Damien Georges2, Scott J. Goetz10, Kevin C. Guay11, Gregory H. R. Henry12, Janneke HilleRisLambers13, Robert D. Hollister14, Dirk Nikolaus Karger15, Jens Kattge16, Peter Manning, Janet S. Prevéy, Christian Rixen, Gabriela Schaepman-Strub17, Haydn J.D. Thomas2, Mark Vellend18, Martin Wilmking19, Sonja Wipf, Michele Carbognani20, Luise Hermanutz21, Esther Lévesque22, Ulf Molau23, Alessandro Petraglia20, Nadejda A. Soudzilovskaia24, Marko J. Spasojevic25, Marcello Tomaselli20, Tage Vowles23, Juha M. Alatalo26, Heather D. Alexander27, Alba Anadon-Rosell19, Alba Anadon-Rosell28, Sandra Angers-Blondin2, Mariska te Beest29, Mariska te Beest30, Logan T. Berner10, Robert G. Björk23, Agata Buchwal31, Agata Buchwal32, Allan Buras33, Katherine S. Christie34, Elisabeth J. Cooper35, Stefan Dullinger36, Bo Elberling37, Anu Eskelinen38, Anu Eskelinen39, Esther R. Frei12, Esther R. Frei15, Oriol Grau40, Paul Grogan41, Martin Hallinger, Karen A. Harper42, Monique M. P. D. Heijmans33, James I. Hudson, Karl Hülber36, Maitane Iturrate-Garcia17, Colleen M. Iversen43, Francesca Jaroszynska44, Jill F. Johnstone45, Rasmus Halfdan Jørgensen37, Elina Kaarlejärvi46, Elina Kaarlejärvi30, Rebecca A Klady12, Sara Kuleza45, Aino Kulonen, Laurent J. Lamarque22, Trevor C. Lantz47, Chelsea J. Little17, Chelsea J. Little48, James D. M. Speed49, Anders Michelsen37, Ann Milbau50, Jacob Nabe-Nielsen1, Sigrid Schøler Nielsen1, Josep M. Ninot28, Steven F. Oberbauer51, Johan Olofsson30, Vladimir G. Onipchenko52, Sabine B. Rumpf36, Philipp R. Semenchuk36, Philipp R. Semenchuk35, Rohan Shetti19, Laura Siegwart Collier21, Lorna E. Street2, Katharine N. Suding4, Ken D. Tape53, Andrew J. Trant54, Andrew J. Trant21, Urs A. Treier1, Jean-Pierre Tremblay55, Maxime Tremblay22, Susanna Venn56, Stef Weijers57, Tara Zamin41, Noémie Boulanger-Lapointe12, William A. Gould58, David S. Hik59, Annika Hofgaard, Ingibjörg S. Jónsdóttir60, Ingibjörg S. Jónsdóttir61, Janet C. Jorgenson62, Julia A. Klein63, Borgthor Magnusson, Craig E. Tweedie64, Philip A. Wookey65, Michael Bahn66, Benjamin Blonder67, Benjamin Blonder68, Peter M. van Bodegom24, Benjamin Bond-Lamberty69, Giandiego Campetella70, Bruno Enrico Leone Cerabolini71, F. Stuart Chapin53, William K. Cornwell72, Joseph M. Craine, Matteo Dainese, Franciska T. de Vries73, Sandra Díaz74, Brian J. Enquist75, Brian J. Enquist76, Walton A. Green77, Rubén Milla78, Ülo Niinemets79, Yusuke Onoda80, Jenny C. Ordoñez81, Wim A. Ozinga82, Wim A. Ozinga33, Josep Peñuelas40, Hendrik Poorter83, Hendrik Poorter84, Peter Poschlod85, Peter B. Reich86, Peter B. Reich87, Brody Sandel88, Brandon S. Schamp89, Serge N. Sheremetev90, Evan Weiher91 
Aarhus University1, University of Edinburgh2, National Ecological Observatory Network3, University of Colorado Boulder4, 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, Helmholtz Centre for Environmental Research - UFZ38, University of Oulu39, 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 Centre in Svalbard60, University of Iceland61, United States Fish and Wildlife Service62, Colorado State University63, University of Texas at El Paso64, University of Stirling65, University of Innsbruck66, Rocky Mountain Biological Laboratory67, University of Oxford68, 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, Macquarie University83, Forschungszentrum Jülich84, University of Regensburg85, University of Minnesota86, University of Sydney87, Santa Clara University88, Algoma University89, Komarov Botanical Institute90, University of Wisconsin–Eau Claire91
04 Oct 2018-Nature
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


Authors

Showing all 36498 results

NameH-indexPapersCitations
John J.V. McMurray1781389184502
David A. Weitz1781038114182
David Taylor131246993220
Lei Zhang130231286950
Will J. Percival12947387752
Trevor Hastie124412202592
Stephen Mann12066955008
Xuan Zhang119153065398
Mark A. Tarnopolsky11564442501
Qiang Yang112111771540
Wei Zhang112118993641
Hans-Peter Seidel112121351080
Theodore S. Rappaport11249068853
Robert C. Haddon11257752712
David Zhang111102755118
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20241
2023213
2022702
20215,360
20205,388
20195,200