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Institution

University of Victoria

EducationVictoria, British Columbia, Canada
About: University of Victoria is a education organization based out in Victoria, British Columbia, Canada. It is known for research contribution in the topics: Population & Galaxy. The organization has 14994 authors who have published 41051 publications receiving 1447972 citations. The organization is also known as: Victoria College.


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Journal ArticleDOI
01 Aug 2003-Ecology
TL;DR: In this article, the authors demonstrate the use of piecewise regression as a statistical technique to model ecological thresholds and demonstrate the need for a careful study of the likelihood surface when fitting and interpreting the results from piecewise-regression models.
Abstract: We demonstrate the use of piecewise regression as a statistical technique to model ecological thresholds. Recommended procedures for analysis are illustrated with a case study examining the width of edge effects in two understory plant communities. Piece-wise regression models are “broken-stick” models, where two or more lines are joined at unknown points, called “breakpoints.” Breakpoints can be used as estimates of thresholds and are used here to determine the width of edge effects. We compare a sharp-transition model with three models incorporating smooth transitions: the hyperbolic-tangent, bent-hyperbola, and bent-cable models. We also calculate three types of confidence intervals for the breakpoint estimate: an interval based on the computed standard error of the estimate from the fitting procedure, an empirical bootstrap confidence interval, and a confidence interval derived from an inverted F test. We recommend use of the inverted F test confidence interval when sample sizes are large, and cautious use of bootstrapped confidence intervals when sample sizes are smaller. Our analysis demonstrates the need for a careful study of the likelihood surface when fitting and interpreting the results from piecewise-regression models.

843 citations

Journal ArticleDOI
Sergey Alekhin, Wolfgang Altmannshofer1, Takehiko Asaka2, Brian Batell3, Fedor Bezrukov4, Kyrylo Bondarenko5, Alexey Boyarsky5, Ki-Young Choi6, Cristóbal Corral7, Nathaniel Craig8, David Curtin9, Sacha Davidson10, Sacha Davidson11, André de Gouvêa12, Stefano Dell'Oro, Patrick deNiverville13, P. S. Bhupal Dev14, Herbi K. Dreiner15, Marco Drewes16, Shintaro Eijima17, Rouven Essig18, Anthony Fradette13, Björn Garbrecht16, Belen Gavela19, Gian F. Giudice3, Mark D. Goodsell20, Mark D. Goodsell21, Dmitry Gorbunov22, Stefania Gori1, Christophe Grojean23, Alberto Guffanti24, Thomas Hambye25, Steen Honoré Hansen24, Juan Carlos Helo26, Juan Carlos Helo7, Pilar Hernández27, Alejandro Ibarra16, Artem Ivashko28, Artem Ivashko5, Eder Izaguirre1, Joerg Jaeckel29, Yu Seon Jeong30, Felix Kahlhoefer, Yonatan Kahn31, Andrey Katz3, Andrey Katz32, Andrey Katz33, Choong Sun Kim30, Sergey Kovalenko7, Gordan Krnjaic1, Valery E. Lyubovitskij34, Valery E. Lyubovitskij35, Valery E. Lyubovitskij36, Simone Marcocci, Matthew McCullough3, David McKeen37, Guenakh Mitselmakher38, Sven Moch39, Rabindra N. Mohapatra9, David E. Morrissey40, Maksym Ovchynnikov28, Emmanuel A. Paschos, Apostolos Pilaftsis14, Maxim Pospelov1, Maxim Pospelov13, Mary Hall Reno41, Andreas Ringwald, Adam Ritz13, Leszek Roszkowski, Valery Rubakov, Oleg Ruchayskiy17, Oleg Ruchayskiy24, Ingo Schienbein42, Daniel Schmeier15, Kai Schmidt-Hoberg, Pedro Schwaller3, Goran Senjanovic43, Osamu Seto44, Mikhail Shaposhnikov17, Lesya Shchutska38, J. Shelton45, Robert Shrock18, Brian Shuve1, Michael Spannowsky46, Andrew Spray47, Florian Staub3, Daniel Stolarski3, Matt Strassler32, Vladimir Tello, Francesco Tramontano48, Anurag Tripathi, Sean Tulin49, Francesco Vissani, Martin Wolfgang Winkler15, Kathryn M. Zurek50, Kathryn M. Zurek51 
Perimeter Institute for Theoretical Physics1, Niigata University2, CERN3, University of Connecticut4, Leiden University5, Korea Astronomy and Space Science Institute6, Federico Santa María Technical University7, University of California, Santa Barbara8, University of Maryland, College Park9, University of Lyon10, Claude Bernard University Lyon 111, Northwestern University12, University of Victoria13, University of Manchester14, University of Bonn15, Technische Universität München16, École Polytechnique Fédérale de Lausanne17, Stony Brook University18, Autonomous University of Madrid19, University of Paris20, Centre national de la recherche scientifique21, Moscow Institute of Physics and Technology22, Autonomous University of Barcelona23, University of Copenhagen24, Université libre de Bruxelles25, University of La Serena26, University of Valencia27, Taras Shevchenko National University of Kyiv28, Heidelberg University29, Yonsei University30, Princeton University31, Harvard University32, University of Geneva33, Tomsk Polytechnic University34, University of Tübingen35, Tomsk State University36, University of Washington37, University of Florida38, University of Hamburg39, TRIUMF40, University of Iowa41, University of Grenoble42, International Centre for Theoretical Physics43, Hokkai Gakuen University44, University of Illinois at Urbana–Champaign45, Durham University46, University of Melbourne47, University of Naples Federico II48, York University49, Lawrence Berkeley National Laboratory50, University of California, Berkeley51
TL;DR: It is demonstrated that the SHiP experiment has a unique potential to discover new physics and can directly probe a number of solutions of beyond the standard model puzzles, such as neutrino masses, baryon asymmetry of the Universe, dark matter, and inflation.
Abstract: This paper describes the physics case for a new fixed target facility at CERN SPS. The SHiP (search for hidden particles) experiment is intended to hunt for new physics in the largely unexplored domain of very weakly interacting particles with masses below the Fermi scale, inaccessible to the LHC experiments, and to study tau neutrino physics. The same proton beam setup can be used later to look for decays of tau-leptons with lepton flavour number non-conservation, $\tau \to 3\mu $ and to search for weakly-interacting sub-GeV dark matter candidates. We discuss the evidence for physics beyond the standard model and describe interactions between new particles and four different portals—scalars, vectors, fermions or axion-like particles. We discuss motivations for different models, manifesting themselves via these interactions, and how they can be probed with the SHiP experiment and present several case studies. The prospects to search for relatively light SUSY and composite particles at SHiP are also discussed. We demonstrate that the SHiP experiment has a unique potential to discover new physics and can directly probe a number of solutions of beyond the standard model puzzles, such as neutrino masses, baryon asymmetry of the Universe, dark matter, and inflation.

842 citations

Journal ArticleDOI
TL;DR: In those patients at high risk for the development of ONJ, including cancer patients receiving high‐dose BP or Dmab therapy, consideration should be given to withholding antiresorptive therapy following extensive oral surgery until the surgical site heals with mature mucosal coverage.
Abstract: This work provides a systematic review of the literature from January 2003 to April 2014 pertaining to the incidence, pathophysiology, diagnosis, and treatment of osteonecrosis of the jaw (ONJ), and offers recommendations for its management based on multidisciplinary international consensus. ONJ is associated with oncology-dose parenteral antiresorptive therapy of bisphosphonates (BP) and denosumab (Dmab). The incidence of ONJ is greatest in the oncology patient population (1% to 15%), where high doses of these medications are used at frequent intervals. In the osteoporosis patient population, the incidence of ONJ is estimated at 0.001% to 0.01%, marginally higher than the incidence in the general population (<0.001%). New insights into the pathophysiology of ONJ include antiresorptive effects of BPs and Dmab, effects of BPs on gamma delta T-cells and on monocyte and macrophage function, as well as the role of local bacterial infection, inflammation, and necrosis. Advances in imaging include the use of cone beam computerized tomography assessing cortical and cancellous architecture with lower radiation exposure, magnetic resonance imaging, bone scanning, and positron emission tomography, although plain films often suffice. Other risk factors for ONJ include glucocorticoid use, maxillary or mandibular bone surgery, poor oral hygiene, chronic inflammation, diabetes mellitus, ill-fitting dentures, as well as other drugs, including antiangiogenic agents. Prevention strategies for ONJ include elimination or stabilization of oral disease prior to initiation of antiresorptive agents, as well as maintenance of good oral hygiene. In those patients at high risk for the development of ONJ, including cancer patients receiving high-dose BP or Dmab therapy, consideration should be given to withholding antiresorptive therapy following extensive oral surgery until the surgical site heals with mature mucosal coverage. Management of ONJ is based on the stage of the disease, size of the lesions, and the presence of contributing drug therapy and comorbidity. Conservative therapy includes topical antibiotic oral rinses and systemic antibiotic therapy. Localized surgical debridement is indicated in advanced nonresponsive disease and has been successful. Early data have suggested enhanced osseous wound healing with teriparatide in those without contraindications for its use. Experimental therapy includes bone marrow stem cell intralesional transplantation, low-level laser therapy, local platelet-derived growth factor application, hyperbaric oxygen, and tissue grafting.

832 citations

Journal ArticleDOI
21 Feb 2002-Nature
TL;DR: The palaeoclimate data and the model results indicate that the stability of the thermohaline circulation depends on the mean climate state, and data and models both suggest that abrupt climate change during the last glaciation originated through changes in the Atlantic thermohalin circulation.
Abstract: The possibility of a reduced Atlantic thermohaline circulation in response to increases in greenhouse-gas concentrations has been demonstrated in a number of simulations with general circulation models of the coupled ocean-atmosphere system. But it remains difficult to assess the likelihood of future changes in the thermohaline circulation, mainly owing to poorly constrained model parameterizations and uncertainties in the response of the climate system to greenhouse warming. Analyses of past abrupt climate changes help to solve these problems. Data and models both suggest that abrupt climate change during the last glaciation originated through changes in the Atlantic thermohaline circulation in response to small changes in the hydrological cycle. Atmospheric and oceanic responses to these changes were then transmitted globally through a number of feedbacks. The palaeoclimate data and the model results also indicate that the stability of the thermohaline circulation depends on the mean climate state.

832 citations

Journal ArticleDOI
TL;DR: In this article, a four-year study of the collaborative activities of a small nongovernmental organization in Palestine suggests that collaborations that are both highly embedded and have highly involved partners are the most likely to generate proto-institutions.
Abstract: We argue that collaboration can act as a source of change in institutional fields through the generation of “proto-institutions”: new practices, rules, and technologies that transcend a particular collaborative relationship and may become new institutions if they diffuse sufficiently. A four-year study of the collaborative activities of a small nongovernmental organization in Palestine suggests that collaborations that are both highly embedded and have highly involved partners are the most likely to generate proto-institutions.

831 citations


Authors

Showing all 15188 results

NameH-indexPapersCitations
Jie Zhang1784857221720
D. M. Strom1763167194314
Sw. Banerjee1461906124364
Robert J. Glynn14674888387
Manel Esteller14671396429
R. Kowalewski1431815135517
Paul Jackson141137293464
Mingshui Chen1411543125369
Ali Khademhosseini14088776430
Roger Jones138998114061
Tord Ekelof137121291105
L. Köpke13695081787
M. Morii1341664102074
Arnaud Ferrari134139287052
Richard Brenner133110887426
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202379
2022348
20212,108
20202,200
20192,212
20181,926