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Institution

University of Windsor

EducationWindsor, Ontario, Canada
About: University of Windsor is a education organization based out in Windsor, Ontario, Canada. It is known for research contribution in the topics: Population & Argumentation theory. The organization has 10654 authors who have published 22307 publications receiving 435906 citations. The organization is also known as: UWindsor & Assumption University of Windsor.


Papers
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Journal ArticleDOI
TL;DR: In this paper, the authors identify 30 elements of a high-quality local emergency management program and synthesize them into a single framework that provides clear-cut best practices for emergency program evaluation and performance measurement.
Abstract: Local governments play a key role in emergency management by developing the necessary policies and concrete procedures for responding effectively to community emergencies and their aftermath. However, because emergency measures in most jurisdictions are rarely, if ever, activated, public managers find it difficult to evaluate and assess the quality of existing emergency management programs. Drawing on expert literature to identify 30 elements of a high-quality local emergency management program, key elements are refined and synthesized into a single framework that provides clear-cut best practices for emergency program evaluation and performance measurement.

148 citations

Journal ArticleDOI
TL;DR: In this paper, the relationship between forces and displacements at the ends of a member with elastically restrained ends is derived in matrix form and the force components, in terms of the end displacements, are arranged in a matrix form.
Abstract: Frames with semi-rigid connections are investigated. Relationships between forces and displacements at the ends of a member with elastically restrained ends are derived. The force components, in terms of the end displacements, are arranged in matrix form. Stiffness matrices of a member with elastic restraint at the ends are presented, in the form of the stiffness matrices for members with rigid connections, modified by a correction matrix whose elements are functions of parameters, designated as fixity factors of the member. A formula for the force components at the ends of all the members of a frame is established. The matrix operations involved are conveniently performed by any digital computer, and problems ranging from rigid frames to pin-connected trusses can be solved by the same systematic approach. Several numerical examples are solved.

147 citations

Journal ArticleDOI
TL;DR: In this article, the main focus of the progress report is recent advances in physisorption materials exhibiting higher heats of adsorption and better hydrogen adorption at room temperature based on exploiting the Kubas model.
Abstract: Hydrogen adsorption and storage using solid-state materials is an area of much current research interest, and one of the major stumbling blocks in realizing the hydrogen economy. However, no material yet researched comes close to reaching the DOE 2015 targets of 9 wt% and 80 kg m ―3 at this time. To increase the physisorption capacities of these materials, the heats of adsorption must be increased to ∼20 kJ mol ―1 . This can be accomplished by optimizing the material structure, creating more active species on the surface, or improving the interaction of the surface with hydrogen. The main focus of this progress report are recent advances in physisorption materials exhibiting higher heats of adsorption and better hydrogen adsorption at room temperature based on exploiting the Kubas model for hydrogen binding: (η 2 -H 2 )―metal interaction. Both computational approaches and synthetic achievements will be discussed. Materials exploiting the Kubas interaction represent a median on the continuum between metal hydrides and physisorption materials, and are becoming increasingly important as researchers learn more about their applications to hydrogen storage problems.

147 citations

Journal ArticleDOI
TL;DR: In this paper, hydrological variables were evaluated to determine spatial distribution of benthic invertebrate assemblages at 100 river sites in northwestern North America, and the results of cluster analysis suggested that the river sites comprised six groups (A-F), each supporting a characteristic invertebrates assemblage, including Tricorythidae (C), Amphipoda (F), Rhyacophilidae and Systellognatha (E), and Elmidae and Hydroptilidae (A).
Abstract: SUMMARY. 1. Biogeographical and on-site. hydrological variables were evaluated to determine spatial distribution of benthic invertebrate assemblages at 100 river sites in northwestern North America. 2. Results of cluster analysis suggested that the river sites comprised sixgroups (A-F), each supporting a characteristic invertebrate assemblage.Distinct groups were best represented by abundant Tricorythidae (C), Amphipoda (F), Rhyacophilidae and Systellognatha (E), and Elmidae and Hydroptilidae (A). Brachycentridae (B) and Oligochaeta (D) were widespread throughout the study area. 2. Both biogeographical and hydrological features contributed to the correct classification of site groupings characterized by distinctive fauna. However, biogeographical features were more useful than variables measured at the river site in discriminating among the site groupings.Groups C and F were most prevalent within the Hudson Bay drainage.Groups A, C and F were typically located within plains; group E sites were in mountainous regions. 4. The hydrological variables most useful in delineating site groupings were mean current velocity and mean depth. Slow, deep waters characterized amphipod sites; shallow, fast flowing waters occurred at Rhyacophilidae Sysellognatha sites. 5. Results substantiate previous views of a strong association between benthic invertebrates in small rivers and the terrestrial biome through which the river flows.

146 citations

Journal ArticleDOI
TL;DR: A novel recognition framework for human actions using hybrid features extracted using motion-selectivity attribute of 3D dual-tree complex wavelet transform and affine SIFT local image detector which offers enhanced capabilities to preserve structure and correlation amongst neighborhood pixels of a video frame.

146 citations


Authors

Showing all 10751 results

NameH-indexPapersCitations
Jie Zhang1784857221720
Robert E. W. Hancock15277588481
Michael Lynch11242263461
David Zhang111102755118
Paul D. N. Hebert11153766288
Eleftherios P. Diamandis110106452654
Qian Wang108214865557
John W. Berry9735152470
Douglas W. Stephan8966334060
Rebecca Fisher8625550260
Mehdi Dehghan8387529225
Zhong-Qun Tian8164633168
Robert J. Letcher8041122778
Daniel J. Sexton7636925172
Bin Ren7347023452
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202327
2022178
20211,147
20201,005
20191,001
2018882