Institution
Memorial University of Newfoundland
Education•St. John's, Newfoundland and Labrador, Canada•
About: Memorial University of Newfoundland is a education organization based out in St. John's, Newfoundland and Labrador, Canada. It is known for research contribution in the topics: Population & Gadus. The organization has 13818 authors who have published 27785 publications receiving 743594 citations. The organization is also known as: Memorial University & Memorial University of Newfoundland and Labrador.
Topics: Population, Gadus, Health care, Poison control, Atlantic cod
Papers published on a yearly basis
Papers
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08 Oct 2000TL;DR: In this article, an adaptive backstepping technique for an interior permanent-magnet synchronous motor (IPMSM) drive based on newly developed adaptive back stepping technique is presented.
Abstract: This paper presents a novel speed control technique for an interior permanent-magnet synchronous motor (IPMSM) drive based on newly developed adaptive backstepping technique. The proposed stabilizing feedback law for the IPMSM drive is shown to be globally asymptotically stable in the context of Lyapunov theory. The adaptive backstepping technique takes system nonlinearities into account in the control system design stage. The detailed derivations of the control laws have been given for controller design. The complete IPMSM drive incorporating the proposed backstepping control technique has been successfully implemented in real-time using digital signal processor board DS1102 for a laboratory 1-hp motor. The performance of the proposed drive is investigated both in experiment and simulation at different operating conditions. It is found that the proposed control technique provides a good speed tracking performance for the IPMSM drive ensuring the global stability.
284 citations
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TL;DR: FINS is a rapid, reliable and reproducible procedure that is based on established techniques that fills the need for an accurate method of determining the species identity of a specimen when this is not possible by conventional means.
Abstract: The keys to identifying different species normally rely heavily on morphological characteristics. However, when an animal has been killed for food or sport, these markers are often destroyed or intentionally removed from the animal. This presents a problem for government agencies who are involved in determining the species origin of an animal or products derived from it in order to enforce conservation and/or health-related regulations. The problem is compounded if the meat of the animal has been processed in any way. We have developed a procedure called FINS (Forensically Informative Nucleotide Sequencing) that overcomes these problems. FINS has four components. First, methods have been developed that can isolate DNA from a wide range of biological samples including processed foods (e.g., canned, partially cooked, pickled, salted or smoked). Second, a specific segment of DNA is amplified using PCR. Third, the nucleotide sequence of the amplified segment of DNA is determined. Fourth, this nucleotide sequence is subjected to a phylogenetic analysis using a database, and the most closely related species is identified. FINS is a rapid, reliable and reproducible procedure that is based on established techniques. This procedure fills the need for an accurate method of determining the species identity of a specimen when this is not possible by conventional means.
282 citations
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TL;DR: In this paper, two sets of aluminum beams were used for this experimental study each set consisted of seven beams, the first set had fixed ends, and the second set was simply supported Cracks were initiated at seven different locations from one end to the other end (along the length of the beam) for each set, with crack depth ratios ranging from 01 d to 07 d (d is the beam depth) in steps of 01, at each crack location.
282 citations
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TL;DR: An alternative strategy that incorporates behavioural, electrophysiological and histological endpoints is put forth as a more powerful method for gauging neuroprotection and will be increased if these assessments are performed on the same animals.
281 citations
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TL;DR: In this article, the authors compared the minimal important difference (MID) with the minimal detectable change (MDC) generated by distribution-based methods and found that the 95% limits of agreement and the reliable change index yielded the largest estimates.
281 citations
Authors
Showing all 13990 results
Name | H-index | Papers | Citations |
---|---|---|---|
Daniel Levy | 212 | 933 | 194778 |
Rakesh K. Jain | 200 | 1467 | 177727 |
Peter W.F. Wilson | 181 | 680 | 139852 |
Martin G. Larson | 171 | 620 | 117708 |
Peter B. Jones | 145 | 1857 | 94641 |
Dafna D. Gladman | 129 | 1036 | 75273 |
Guoyao Wu | 122 | 764 | 56270 |
Fereidoon Shahidi | 119 | 951 | 57796 |
David Harvey | 115 | 738 | 94678 |
Robert C. Haddon | 112 | 577 | 52712 |
Se-Kwon Kim | 102 | 763 | 39344 |
John E. Dowling | 94 | 305 | 28116 |
Mark J. Sarnak | 94 | 393 | 42485 |
William T. Greenough | 93 | 200 | 29230 |
Soottawat Benjakul | 92 | 891 | 34336 |