Predicting 30-Day Risk of Hospitalization, Emergency Department Visit and Death Among Albertans Receiving Opioid Prescriptions Using Machine Learning Algorithms: A Prognostic Study

Prescribers rely on guidelines for appropriate use and prescribing of opioids. Currently, there are no risk prediction calculators available to quantify the risk of prescribing an opioid that uses a patient’s history and drug utilization pattern. Machine learning algorithms offer an opportunity to perhaps develop such a risk calculator as a result of the large […]

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Assessment of indoor environmental quality in the school building

Indoor environmental quality in schools is one of the major issues that should be considered. Indoor air quality (freshness and cleanness of air inside the building) and thermal comfort (the comfortable condition when no one is feeling either too hot or too cold) in schools can have significant impact on children’s health, learning and productivity. […]

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AI based acoustic signal processing and analysis and its applications

Artificial intelligence (AI) provides powerful tools to many acoustic related applications. This proposal aims at acoustic signal processing and analysis and its applications using AI technologies. In order for AI to make progress in understanding the acoustic world around us, it needs to be interpreted along with multimodal messages. Three subprojects, i.e., multi-modal acoustic scene […]

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Implication of the nucleotide pool sanitizing enzyme NUDT1 in vascular remodeling in pulmonary arterial hypertension (PAH)

Pulmonary arterial hypertension (PAH) is a progressive condition characterized by the chronic elevation of pulmonary artery (PA) pressure leading to failure of the heart. In spite of recent advances in approved therapies, PAH remains a serious disease with significant mortality. In contrast to the earlier belief that contraction of pulmonary vessels played a key role […]

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Cognitive Control of Auditory Environment (CCAE)

The CCAE project aims to create a hearing assistance device that is steered by brain activity. We will monitor brain signals that reflect the user’s attentional focus by the use of non-invasive brain recording called electroencephalography (EEG). These recordings will be used to help the hearing assistance device to separate, identify, and enhance sounds of […]

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Prédiction de la pauvreté à partir d’enquêtes socio-économiques et de données géospatiales

Dans les pays en voie de développement, des enquêtes sont utilisées pour mesurer le niveau de pauvreté des ménages. Pour étendre cette information à l’ensemble de la population, il est nécessaire de prédire la pauvreté des ménages à partir des enquêtes et d’imputer cette prédiction à chaque ménage du recensement. L’utilisation de ces données permet […]

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Optimization of the economic potential of Jerusalem artichoke asfeedstock for production of ethanol, inulin, and biomass pellets

CENNATEK Bioanalytical Services Inc. is leading a R&D project with the goal of using Jerusalem artichoke as a feedstock for the production of ethanol, inulin and biomass pellets. The Jerusalem artichoke crop contains large amounts of carbohydrates, mainly inulin, which can be converted to sugars such as fructose. Fructose is used as a sweetener in […]

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Développement d’un système d’aide à la détection et à la localisation des défauts présents sur les photographies aériennes par intelligence artificielle

Le projet proposé vise à développer un système d’aide à la détection et à la localisation des défauts présents sur les photographiques aériennes par intelligence artificielle, et plus particulièrement par l’utilisation des réseaux de neurones convolutifs. Ces derniers sont reconnus pour leur performance en vision par ordinateur, notamment dans la détection automatisée d’éléments fournis à […]

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Evaluating participatory plant breeding programs in Canada and their effectiveness as a strategy for climate change adaptation

Participatory plant breeding (PPB), which pairs farmers’ knowledge with the skills of formal plant breeders, is increasingly being recognized as an effective approach to develop better varieties for organic farming systems because it uses the environmental conditions of working organic farms as selection environments and incorporates farmers’ needs and observations in the selection criteria. PPB […]

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