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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: A random sample of a heterogeneous group of 185 elementary and 204 secondary teachers was surveyed to provide a comprehensive summary of teacher characteristics and variables that best discriminate between teachers who integrate computers and those who do not.
Abstract: Given the prevalence of computers in education today, it is critical to understand teachers' perspectives regarding computer integration in their classrooms The current study surveyed a random sample of a heterogeneous group of 185 elementary and 204 secondary teachers in order to provide a comprehensive summary of teacher characteristics and variables that best discriminate between teachers who integrate computers and those who do not Discriminant Function Analysis indicated seven variables for elementary teachers and six for secondary teachers (accounting for 74% and 68% of the variance, respectively) that discriminated between high and low integrators Variables included positive teaching experiences with computers; teacher's comfort with computers; beliefs supporting the use of computers as an instructional tool; training; motivation; support; and teaching efficacy Implications for support of computer integration in the classroom are discussed

549 citations

Journal ArticleDOI
TL;DR: In this article, the contribution of amide-based receptors to the development of anion complexing agents is discussed, and the results of solution binding studies and sensing outputs are summarized.

549 citations

Journal ArticleDOI
TL;DR: In this paper, the authors discuss the challenges of managing product variety throughout the entire product life cycle, and the effective co-development of variants and their manufacturing systems to ensure economic sustainability.
Abstract: A great challenge facing industry today is managing variety throughout the entire products life cycle. Drivers of products variety, its benefits, pre-requisites and associated complexity and cost are presented. Enhancing consumers’ value through variety and approaches for achieving it efficiently including modularity, commonality and differentiation are discussed. Variant-oriented manufacturing systems paradigms, as enablers of product variety, and the effective co-development of variants and their manufacturing systems to ensure economic sustainability are reviewed. Industrial applications and guidelines to achieve economy of scope with advantages of economy of scale are discussed. Perspectives and insights on future research in this field are offered.

536 citations

Journal ArticleDOI
TL;DR: Poo, an R package that facilitates the organization, visualization and analysis of spectral data in a cohesive framework, is introduced and an exact solution for the calculation of colour volume overlap in colourspace is presented, thus expanding previously published methodologies.
Abstract: Summary Recent technical and methodological advances have led to a dramatic increase in the use of spectrometry to quantify reflectance properties of biological materials, as well as models to determine how these colours are perceived by animals, providing important insights into ecological and evolutionary aspects of animal visual communication. Despite this growing interest, a unified cross-platform framework for analysing and visualizing spectral data has not been available. We introduce pavo, an R package that facilitates the organization, visualization and analysis of spectral data in a cohesive framework. pavo is highly flexible, allowing users to (a) organize and manipulate data from a variety of sources, (b) visualize data using R's state-of-the-art graphics capabilities and (c) analyse data using spectral curve shape properties and visual system modelling for a broad range of taxa. In this paper, we present a summary of the functions implemented in pavo and how they integrate in a workflow to explore and analyse spectral data. We also present an exact solution for the calculation of colour volume overlap in colourspace, thus expanding previously published methodologies. As an example of pavo's capabilities, we compare the colour patterns of three African glossy starling species, two of which have diverged very recently. We demonstrate how both colour vision models and direct spectral measurement analysis can be used to describe colour attributes and differences between these species. Different approaches to visual models and several plotting capabilities exemplify the package's versatility and streamlined workflow. pavo provides a cohesive environment for handling spectral data and addressing complex sensory ecology questions, while integrating with R's modular core for a broader and comprehensive analytical framework, automated management of spectral data and reproducible workflows for colour analysis.

535 citations

Journal ArticleDOI
TL;DR: The authors show that the new method of deriving Zernike moment invariants along with the new normalization scheme yield the best overall performance even when the data are degraded by additive noise.

532 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