A preclinical study evaluating INOLIFE’s needle-free injection system (INOJEX) with cannabidiol (CBD) for the treatment of neuropathic pain and associated anxiety-depressive symptoms in rats.

Chronic neuropathic pain affects millions of Canadians for which the government spends ~$6 billion a year on treatment. It is therefore imperative to find new therapies with few side effects and high therapeutic efficacy. This study will examine the therapeutic properties of cannabidiol (CBD), which is a non-intoxicating component of cannabis. Studies have shown that […]

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Comparaison de configuration de systèmes CVCA pour un espace d’agriculture intégré au bâtiment afin d’assurer une performance énergétique.

Ce projet de recherche vise à caractériser la consommation énergétique ainsi que de l’appel de puissance des systèmes permettant le contrôle de la température ainsi que de l’humidité de l’air dans les espaces d’agriculture intégrés au bâtiment (eAIB). Plusieurs configurations de ces systèmes seront analysées afin d’être en mesure d’identifier les avantages et inconvénients de […]

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Méthodes de programmation dynamique stochastique pour la planification hydro-électrique moyen-terme sous incertitude

Le but de la planification hydro-électrique moyen-terme est de déterminer la quantité de ressources hydrauliques qui sera puisé de chacun des réservoirs d’un système de production pour répondre à une demande électrique ou en débit. Ces quantités ou politiques s’étendent en général sur des horizons de 1 à 2 années avec des décisions hebdomadaires ou […]

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Development of an implantable oximeter for patients suffering from chronic respiratory insufficiency: design and validation of a prototype

Oxygen therapy is one of the most used treatments during hospitalization, especially in patients with cardiac or respiratory diseases. The latest recommendations emphasize the need to titrate oxygen as precisely as for any other drugs to avoid underdosage (hypoxemia) as overdoses (hyperoxia). Two million patients in the US receive oxygen therapy in the long term, […]

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Nanoparticle detection and filtering in bottle resonator

I propose to design a platform to detect and filter out particles on the order of 10 nanometers from a liquid in a dynamic environment. An optical cavity confines very large amounts of light is made by modifying a capillary optical fiber for which the light circulates around the outer edge. This large amount of […]

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Development and validation of a semi-automated in-situ soil sensor using Vis-NIR spectroscopy

Soil health and fertility has important long-term implications on farming practices. However, farmers and agronomists have difficulties to integrate soil assessment into farming decisions, mainly due to the tedious and long soil sampling process. This project aims at providing an innovative tool for agronomists and farmers to determine instantaneously and accurately several soil characteristics such […]

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Development of algorithms and methods for information fusion enabled decisionsupport

In every situation humans make observations and analyse the observed information, by combining and evaluating the relationships between the observation to understand the situation. Often these observations can be uncertain, redundant, from unknown sources, contradictory, and too many for a human to be able to analyse fast enough and correctly, leading to incorrect assessment of […]

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(In)visibilité de la contamination radioactive dans la photographie japonaise post-Fukushima : expositions et médiation

Mon projet doctoral examine la création artistique contemporaine japonaise suite à l’accident nucléaire de Fukushima, survenu au Japon en mars 2011. J’étudie plus particulièrement le travail photographique de trois artistes japonais qui permettent de rendre visible la contamination radioactive et observe leur réception. Mes recherches au Japon seront composées de séries d’entrevues avec les artistes […]

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Endogenous quality turnover, macroeconomic dynamics and the informal economy

To what extent do changes in the size of the informal sector affect changes in the quality of goods consumed in developing countries? It is well known that a poor assessment of the quantity and quality of goods consumed by households could lead economic models to underestimate the fluctuations of most macroeconomic variables. However, in […]

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Full characterization of Drug-Drug interactions using deep learning methods

Better understanding Drug-Drug interactions (DDIs) is crucial for planning therapies and drugs co-administration. While, considerable efforts are spent in labor-intensive in vivo experiments and time-consuming clinical trials, understanding the pharmacological implications and adverse side-effects for some drug combinations is challenging. The majority of interactions remains undetected until therapies are prescribed to patients. We propose to […]

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