Analyzing neuroprotective properties of Lactobacillus rhamnosus HA114 in models of age-dependent neurodegeneration

Our aging population is burdened by decreased health and an increased risk of disease, including for many age-dependent neurodegenerative disorders like amyotrophic lateral sclerosis and Alzheimer’s disease (AD). There are no cures for these conditions, and according to the United Nations the number of people affected may double by 2040. Using simple genetic models of […]

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Determining the mechanisms implicated in the development of preeclampsia

Preeclampsia is a pregnancy-associated disease where women develop high blood pressure and protein in their urine. It is the leading cause of mother and foetus mortality and morbidity. However, we have yet to identify its specific cause as well as methods for early detection and prevention. Women who have high-blood pressure are more at risk […]

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Développement de réacteur électro-membranaire pour la production d’hydroxyde de lithium

La batterie lithium-ion pourrait occuper une place importante dans la transition énergétique à venir. Elle permettrait notamment d’équiper un nombre important de véhicule électrique. Cependant, son coût élevé et l’empreinte carbone importante liée à sa production diminue sa compétitivité. Afin d’améliorer ces deux aspects, la compagnie Nemaska Lithium propose une technologie novatrice pour produire de […]

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Evaluation and improvement of Streptococcus suis bacterins

Swine production is a major branch of Canadian economy. Bugs, such as bacteria, can kill small piglets or compromise their welfare, and have a major impact in swine industry performance. One well-known dangerous bacterium is Streptococcus suis, which is very difficult to control because lack of effective vaccines. Consequently, antibiotics are overused to fight this […]

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A ZooMS-informed archaeozoological and taphonomic analysis comparing Neanderthal and Homo sapiens subsistence behaviors in Northwest Italy

This project aims to contribute to the ongoing discussions surrounding the topic of the Middle to Upper Paleolithic Transition in Europe which is marked by two turning points in the evolution of our own species, anatomically modern Homo sapiens (AMHS). While Neanderthals, our closest evolutionary cousins, went extinct, modern humans migrated out of Africa and […]

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Kant et l’Académie de Berlin

À ce jour, peu d’études ont été réalisées sur la contribution de l’Académie de Berlin à la pensée d’Emmanuel Kant. Pourtant, cette influence est non seulement véritable, elle détermine grandement l’évolution de certains des thèmes centraux de la philosophie kantienne. Pour ces raisons, une thèse faisant l’analyse des écrits de Kant et des personnages gravitant […]

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Inhibition du virus de l’hépatite B

L’hépatite B est un virus. Un virus utilise le matériel biologique de son hôte pour exister. L’hépatite B affecte chroniquement environ 240 millions de personnes à travers le monde. C’est conséquemment une pathologie de premier l’ordre lorsque l’on évoque la santé publique. Ce virus affecte sans précédent la qualité de vie des gens qu’il parasite. […]

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Vieillissement et population sourde utilisatrice d’une langue des signes : fonctionnement cognitif et biomécanique

Le stage de collaboration du programme Globalink de Mitacs se déroulera au Centre national de la recherche scientifique-Paris8 (CNRS), un organisme public de recherche pluridisciplinaire gouverné par le ministère de l’Enseignement supérieur, de la Recherche et de l’Innovation en France. Le stage s’effectuera plus précisément auprès de M. Carlo Cecchetto, directeur de recherche du CNRS, […]

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OPTIMIZATION FOR BUSINESS SYSTEMS AND CONVERSATIONAL ANALYTICS (Retail Personal Store Manager)

State-of-the-art forecasting: Demand planning is a critical part of a business’ operations. Traditional approaches to forecasting use statistical methods to predict future demand from past transactions, but do not take into account contextual data. However, there are good reasons to believe that contextual data – such as weather, events, product descriptions, sentiment analysis (from reviews, […]

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Real-time visual detection for robotic inspection

The project aims to equip Hydro-Québec’s current and future fleet of inspection robots with autonomous inspection capabilities. The three main objectives of the project are: 1. Leverage breakthroughs in artificial intelligence to enable robotic vehicles to realize real-time automated visual inspection of the company’s infrastructure. 2. Facilitate and accelerate deep neural network (DNNs) machine learning […]

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Reinforcement Learning for Aviation Training

This project seeks to explore the use of a class of artificial intelligence algorithms called reinforcement learning for the purpose of aiding the training of new pilots. In the process, we seek to “teach” an algorithm how to fly an aircraft by exposing the AI pilot to a virtual environment and providing it with flight […]

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