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Institution

University of Guelph

EducationGuelph, Ontario, Canada
About: University of Guelph is a education organization based out in Guelph, Ontario, Canada. It is known for research contribution in the topics: Population & Poison control. The organization has 26542 authors who have published 50553 publications receiving 1715255 citations. The organization is also known as: U of G & Guelph University.


Papers
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Journal ArticleDOI
TL;DR: The ecological risk assessment method described here is centered on the use of probabilistic distribution functions that independently describe exposure concentrations and toxicological responses of organisms to the chemical of concern and is illustrated using data for chlorpyrifos in North American aquatic environments.

271 citations

Journal ArticleDOI
TL;DR: Results show that 0.2% butyric acid can help to maintain the performance and carcass quality of broilers, especially in vaccinated birds challenged with coccidiosis.

271 citations

Book
29 May 2014
TL;DR: In this article, the authors presented a unique presentation of Einstein's theory by developing powerful methods that can be applied to astrophysical systems, such as planetary motion around the Sun, the timing of binary pulsars, and gravitational waves emitted by binary black holes.
Abstract: This textbook explores approximate solutions to general relativity and their consequences. It offers a unique presentation of Einstein's theory by developing powerful methods that can be applied to astrophysical systems. Beginning with a uniquely thorough treatment of Newtonian gravity, the book develops post-Newtonian and post-Minkowskian approximation methods to obtain weak-field solutions to the Einstein field equations. The book explores the motion of self-gravitating bodies, the physics of gravitational waves, and the impact of radiative losses on gravitating systems. It concludes with a brief overview of alternative theories of gravity. Ideal for graduate courses on general relativity and relativistic astrophysics, the book examines real-life applications, such as planetary motion around the Sun, the timing of binary pulsars, and gravitational waves emitted by binary black holes. Text boxes explore related topics and provide historical context, and over 100 exercises present challenging tests of the material covered in the main text.

271 citations

Journal ArticleDOI
Jing Yang1
TL;DR: Two methods to monitor the convergence and estimate the uncertainty of sensitivity analysis techniques are proposed based on the central limit theorem and the bootstrap technique to assess five differentensitivity analysis techniques applied to an environmental model.
Abstract: Sensitivity analysis plays an important role in model development, calibration, uncertainty analysis, scenario analysis, and, hence, decision making. With the availability of different sensitivity analysis techniques, selecting an appropriate technique, monitoring the convergence and estimating the uncertainty of the sensitivity indices are very crucial for environmental modelling, especially for distributed models due to their high non-linearity, non-monotonicity, highly correlated parameters, and intensive computational requirements. It would be useful to identify whether some techniques outperform others with respect to computational requirements, reliability, and other criteria. This paper proposes two methods to monitor the convergence and estimate the uncertainty of sensitivity analysis techniques. One is based on the central limit theorem and the other on the bootstrap technique. These two methods are implemented to assess five different sensitivity analysis techniques applied to an environmental model. These techniques are: the Sobol' method, the Morris method, Linear Regression (LR), Regionalized Sensitivity Analysis (RSA), and non-parametric smoothing. The results show that: (i) the Sobol' method is very robust in quantifying sensitivities and ranking parameters despite a large number of model evaluations; (ii) the Morris method is efficient to rank out unimportant parameters at a medium cost; (iii) the non-parametric smoothing is reliable and robust in quantifying the main effects and low-order interactions while requiring a small number of model evaluations; finally (iv) the other two techniques, that is, LR and RSA, should be used with care.

271 citations

Journal ArticleDOI
25 Nov 1999-Virology
TL;DR: This work affirms the existence of a conserved complement of poxvirus-specific core genes and expands the growing repertoire of virus genes that confer the unique capacity of each poxVirus family member to counter the immune responses of the infected host.

271 citations


Authors

Showing all 26778 results

NameH-indexPapersCitations
Dirk Inzé14964774468
Norbert Perrimon13861073505
Bobby Samir Acharya1331121100545
Eduardo Marbán12957949586
Benoît Roux12049362215
Fereidoon Shahidi11995157796
Stephen Safe11678460588
Mark A. Tarnopolsky11564442501
Robert C. Haddon11257752712
Milton H. Saier11170754496
Hans J. Vogel111126062846
Paul D. N. Hebert11153766288
Peter T. Katzmarzyk11061856484
John Campbell107115056067
Linda F. Nazar10631852092
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202368
2022391
20212,574
20202,547
20192,264
20182,155