Organ transplants save patients with severe end stage organ failure but the need for subsequent lifelong immunosuppression can lead to a number of undesired consequences including the reactivation of viruses of donor or recipient origin. Human cytomegalovirus (HCMV) infection is the most common opportunistic infection in transplant patients and can lead to significant morbidity and […]

Today 25% of patients listed for liver transplantation die waiting for a liver to become available. The donor organ pool could be expanded by rescuing the 50% of livers donated after cardiac death (DCD) that are discarded due to the injury caused by prolonged periods of warm ischemia during organ retrieval. Mesenchymal Stromal Cells (MSC) […]

Lately, predictive analytics as emerged as a vital area of study for both researchers and practitioners. This trend researches into large volumn of data for hidden patterns and relationships to gain data-driven insights and predict future outcomes. Predictive analytics can help the inside sales industry obtain optimum value from a large amount of data they […]

Face à la forte progression des protocoles de communications et du nombre d’usagers, de nouvelles techniques numériques de traitement des signaux ont été introduits dans les systèmes actuels de communication mobile et sans fils pour garantir : un fonctionnement en multi-bande, une transmission d’un grand volume de données à très haut débit ainsi qu’une gestion […]

Le projet a pour but d’améliorer la prévision du risque d’avalanche de neige sur les deux principales routes du nord de la Gaspésie. Depuis 2004, plus de 450 avalanches ont été rapportées sur les routes 132 et 198 par le ministère des Transports du Québec (M.T.Q.). Le stage a pour objectif l’analyse et l’évaluation de […]

Projected climate change is expected to alter fire regimes across the boreal forest, which in turn will affect forest community structure, composition and diversity. The intern will examine the effects of changes in climate, and by extension, fire cycle, on the presence of three most common tree species in the boreal forest of Canada. Specifically, […]

Loads on the electricity grid are increasingly being viewed as potential controllable assets, rather than just a traditional load that generators must supply. This evolving view of loads in this manner has spurred the development of demand response methods for controlling the loads in real time in response to market price and regulation signals. In […]

This proposed research and development project is intended to create an Integrated Approach to Recovery of Mature Oil and Gas Asset Production and to achieve Strategic Lifecycle Liability Discharges in the oil & gas industries. Tansley Associates Environmental Sciences (TAES) and Athabasca University (AU) each have excellent talent pools and facilities with specific strengths in […]

The next generation cellular standard—called the fifth generation radio networks—is expected to include D2D (device-to-device) communications that allow two or more devices in proximity of each other to bypass the base-stations and establish direct local links. In consultation with our supporting organization, InterDigital, we have identified two key use-cases of D2D communications in 5G networks: […]

À l’automne 2014, le gouvernement du Québec déposait le projet de loi no 28, entraînant notamment la fermeture des Conférences régionales des élus (CRÉ) qui étaient investies de certaines responsabilités en matière de forêt. Dans ce contexte, les acteurs territoriaux doivent se réorganiser afin de faire avancer les différents dossiers touchant l’exploitation et la gestion […]

This phase of the project continues on the research focus of developing intelligent control for machines using derived deep machine learning schemes. The learning algorithms to be developed will use high volume data from various processes in advanced manufacturing and other systems, combined with could based analytics, formulate complex and accurate process models of these […]

This project aims to use literature evidences and data analysis techniques to develop new mobile games that train people’s “emotional intelligence”. The company will build the product prototypes based on current literature evidences and theoretical models. Then the data generated from the games will be evaluated to inform product performance, efficacy, and future developments. This […]