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Skip to Search Results- 5434Hill Times Publishing
- 5352Toronto Stock Exchange
- 484Marian Gould Gallagher Law Library
- 450Dolphin, Ric
- 448Dolphin Media Inc.
- 419University of Alberta, Department of Biological Sciences
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- 34913Graduate and Postdoctoral Studies (GPS), Faculty of/Theses and Dissertations
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Fall 2009
Amorphous and crystalline silicon nanocomposites have been shown to act as effective “sensitizers” for erbium ions. In the present work, a series of erbium-doped (0.2 at.%) SiOx:Er films (x = 1 - 1.8) were synthesized by physical vapor deposition and subsequently annealed at temperatures ranging...
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1992
In this article, the author challenges the tendency in common law Canada to conflate the distinction between State and society. Following the analysis of Kenneth Dyson, the author contends that the State occupies a distinct sphere produced by or contained in the interconstitutive relationship of...
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2018-01-01
Research in the field of Ismāʿīlī Studies has increased exponentially during the last decades. However, all of the existing bibliographies in the field are print-based, which lack the efficient and effective searchability offered by online bibliographic databases. This paper explores some ideas...
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Towards Aquaponics 4.0: A Framework for Automation, IoT, and Smart Systems Implementations in Indoor Farming
DownloadFall 2020
Aquaponics is a farming method that promises to be a good alternative against the food and environmental problem the world is facing. It is a combination between aquaculture (farming of fish) and hydroponics (growing plants without soil), being a technique to grow plants with the aquaculture...
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Towards artificial intelligence-based learning health system for population-level mortality prediction using electrocardiograms
Download2023
Sun, W., Kalmady, S.V., Sepehrvand, N., Salimi, A., Nademi, Y., Bainey, K., Ezekowitz, J.A., Greiner, R., Hindle, Abram, McAlister, F.A., Sandhu, R.K., Kaul, P.
The feasibility and value of linking electrocardiogram (ECG) data to longitudinal population-level administrative health data to facilitate the development of a learning healthcare system has not been fully explored. We developed ECG-based machine learning models to predict risk of mortality...