Institution
Concordia University
Education•Montreal, Quebec, Canada•
About: Concordia University is a education organization based out in Montreal, Quebec, Canada. It is known for research contribution in the topics: Context (language use) & Control theory. The organization has 13565 authors who have published 31084 publications receiving 783525 citations. The organization is also known as: Sir George Williams University & Loyola College, Montreal.
Papers published on a yearly basis
Papers
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TL;DR: In this article, the authors investigated the finite and infinite-time ruin probabilities in a discrete-time stochastic economic environment, under the assumption that the insurance risk -the total net loss within one time period -is extended-regularly changing or rapidly changing tailed.
Abstract: This paper investigates the finite- and infinite-time ruin probabilities in a discrete-time stochastic economic environment. Under the assumption that the insurance risk - the total net loss within one time period - is extended-regularly-varying or rapidly-varying tailed, various precise estimates for the ruin probabilities are derived. In particular, some estimates obtained are uniform with respect to the time horizon, and so apply in the case of infinite-time ruin.
147 citations
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TL;DR: The results suggest that deprescribing and overtreatment occurs through the full spectrum of primary care, and that evidence-based depresCribing guidelines are a priority in the care of the elderly.
Abstract: Polypharmacy and inappropriate medication use among older adults contribute to adverse drug reactions, falls, cognitive impairment, noncompliance, hospitalization and mortality. While deprescribing - tapering, reducing or stopping a medication - is feasible and relatively safe, clinicians find it difficult to carry out. Deprescribing guidelines would facilitate this process. The aim of this paper is to identify and prioritize medication classes where evidence-based deprescribing guidelines would be of benefit to clinicians. A modified Delphi approach included a literature review to identify potentially inappropriate medications for the elderly, an expert panel to develop survey content and three survey rounds to seek consensus on priorities. Panel participants included three pharmacists, two family physicians and one social scientist. Sixty-five Canadian geriatrics experts (36 pharmacists, 19 physicians and 10 nurse practitioners) participated in the survey. Twenty-nine drugs/drug classes were included in the first survey with 14 reaching the required (≥ 70%) level of consensus, and 2 new drug classes added from qualitative comments. Fifty-three participants completed round two, and 47 participants completed round three. The final five priorities were benzodiazepines, atypical antipsychotics, statins, tricyclic antidepressants, and proton pump inhibitors; nine other drug classes were also identified as being in need of evidence-based deprescribing guidelines. The Delphi consensus process identified five priority drug classes for which expert clinicians felt guidance is needed for deprescribing. The classes of drugs that emerged strongly from the rankings dealt with mental health, cardiovascular, gastroenterological, and neurological conditions. The results suggest that deprescribing and overtreatment occurs through the full spectrum of primary care, and that evidence-based deprescribing guidelines are a priority in the care of the elderly.
146 citations
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TL;DR: In this preliminary study, a substantial proportion of patients with COPD were found to have MCI, a known risk factor for dementia, and the MoCA is superior to the MMSE in detecting MCI in patientswith COPD.
146 citations
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TL;DR: In this article, a new design method for two-dimensional (2-D) recursive digital filters using genetic algorithms (GAs) is examined, where the design of the 2-D filter is reduced to a constrained minimization problem the solution of which is achieved by the convergence of an appropriate GA.
Abstract: In this paper, we examine a new design method for two-dimensional (2-D) recursive digital filters using genetic algorithms (GAs). The design of the 2-D filter is reduced to a constrained minimization problem the solution of which is achieved by the convergence of an appropriate GA. Theoretical results are illustrated by a numerical example. Also, comparison with the results of some previous design methods is attempted.
146 citations
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TL;DR: An innovative data mining method to capture the write-print of every suspect and model it as combinations of features that occurred frequently in the suspect's e-mails is introduced, for the first time to be applied to the problem of authorship attribution.
146 citations
Authors
Showing all 13754 results
Name | H-index | Papers | Citations |
---|---|---|---|
Alan C. Evans | 183 | 866 | 134642 |
Michael J. Meaney | 136 | 604 | 81128 |
Chao Zhang | 127 | 3119 | 84711 |
Charles Spence | 111 | 949 | 51159 |
Angappa Gunasekaran | 101 | 586 | 40633 |
Kaushik Roy | 97 | 1402 | 42661 |
Muthiah Manoharan | 96 | 497 | 44464 |
Stephen J. Simpson | 95 | 490 | 30226 |
Roy A. Wise | 95 | 252 | 39509 |
Dario Farina | 94 | 832 | 32786 |
Yavin Shaham | 94 | 239 | 29596 |
Elazer R. Edelman | 89 | 593 | 29980 |
Fikret Berkes | 88 | 271 | 49585 |
Ke Wu | 87 | 1242 | 33226 |
Nick Serpone | 85 | 474 | 30532 |