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Institution

University of Saskatchewan

EducationSaskatoon, Saskatchewan, Canada
About: University of Saskatchewan is a education organization based out in Saskatoon, Saskatchewan, Canada. It is known for research contribution in the topics: Population & Health care. The organization has 25021 authors who have published 52579 publications receiving 1483049 citations. The organization is also known as: USask.


Papers
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Journal ArticleDOI
TL;DR: Overall, the odds of seizure freedom after surgery are two to three times higher in the presence of a lesion on histopathology or MRI, which is clinically and statistically significant, consistent across various subgroups, and quite homogeneous across studies.

619 citations

Journal ArticleDOI
TL;DR: The authors synthesize cultural border crossing with its cognitive explanation (collateral learning) and demon-strates by its example the efficacy of reanalyzing interpretive data published in other articles.
Abstract: Recent developments in concept learning and in science-for-all curricula have stimulated our interest in two fields of study: how students move between their everyday life-world and the world of school science, and how students deal with cognitive conflicts between those two worlds. In the first field of study, Aikenhead conceptualized the transition between a student's life-world and school science as a cultural border crossing.In the second field, Jegede explained cognitive conflicts arising from cultural dif- ferences between students' life-world and school science in terms of collateral learning. This article (a) synthesizes cultural border crossing with its cognitive explanation (collateral learning) and (b) demon- strates by its example the efficacy of reanalyzing interpretive data published in other articles. The synthe- sis provides new intellectual tools with which to understand science for all in 21st-century science class- rooms in developing and industrialized countries. © 1999 John Wiley & Sons, Inc. J Res Sci Teach 36: 269 - 287, 1999

617 citations

Book
01 Jan 2003
TL;DR: This book provides comprehensive treatment of the theory of both static and dynamic neural networks, and end-of-chapter exercises for both students and teachers.
Abstract: From the Publisher: Provides comprehensive treatment of the theory of both static and dynamic neural networks. * Theoretical concepts are illustrated by reference to practical examples Includes end-of-chapter exercises and end-of-chapter exercises.

617 citations

Journal ArticleDOI
TL;DR: In this paper, a critical review of the marketing literature and an empirical analysis of data collected from 248 Canadian firms, the authors established a four-component measure of "market orientation" and the resulting multifactor, multi-item instrument provides a foundation for future studies.
Abstract: The marketing literature reflects remarkable inconsistency in defining two of its most frequently used terms, “the marketing concept” and “market orientation”. Through a critical review of the marketing literature and an empirical analysis of data collected from 248 Canadian firms, the authors established a four‐component measure of “market orientation”. The resulting multi‐factor, multi‐item instrument provides a foundation for future studies.

615 citations

Journal ArticleDOI
TL;DR: In this article, the existence of the fundamental geometric structures as well as their preservation along solutions can be obtained directly from the variational principle in continuous and discrete mechanics and field theories using multisymplectic geometry.
Abstract: This paper presents a geometric-variational approach to continuous and discrete mechanics and field theories Using multisymplectic geometry, we show that the existence of the fundamental geometric structures as well as their preservation along solutions can be obtained directly from the variational principle In particular, we prove that a unique multisymplectic structure is obtained by taking the derivative of an action function, and use this structure to prove covariant generalizations of conservation of symplecticity and Noether' s theorem Natural discretization schemes for PDEs, which have these important preservation properties, then follow by choosing a discrete action functional In the case of mechanics, we recover the variational symplectic integrators of Veselov type, while for PDEs we obtain covariant spacetime integrators which conserve the corresponding discrete multisymplectic form as well as the discrete momentum mappings corresponding to symmetries We show that the usual notion of symplecticity along an infinite-dimensional space of fields can be naturally obtained by making a spacetime split All of the aspects of our method are demonstrated with a nonlinear sine-Gordon equation, including computational results and a comparison with other discretization schemes

614 citations


Authors

Showing all 25277 results

NameH-indexPapersCitations
Tomas Hökfelt158103395979
Frederick Wolfe119417101272
Christopher G. Goetz11665159510
John P. Giesy114116262790
Helmut Kettenmann10438040211
Paul M. O'Byrne10460556520
Susan S. Taylor10451842108
Keith A. Hobson10365341300
Mark S. Tremblay10054143843
James F. Fries10036983589
Gordon McKay9766161390
Jonathan D. Adachi9658931641
Wenjun Zhang9697638530
William C. Dement9634043014
Chris Ryan9597134388
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023173
2022350
20213,129
20202,913
20192,665
20182,479