Open-air fabrication of dynamic cantilever gas sensor

Sensitive gas sensors are urgently needed for the detection of biomarkers for disease prevention and greenhouse gas emissions for environmental monitoring. Dynamic cantilever gas sensors work by oscillating the cantilever to its natural resonance frequency by typical MEMS (micro electromechanical system)-based actuation methods. The adsorption of a target gas on the cantilever increases its mass […]

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Exploring the boundaries of serial electron diffraction

Serial electron diffraction (serial-ED) crystallography is an emerging structural biology method whereby data are collected from protein nanocrystals using a sub-micron-sized electron beam. The method is set to lead the future of nanocrystallography, given its cost-effectiveness and the small amount of sample required. Combining the expertise of the Colletier and Miller teams, the project will […]

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AI based technology adoption in circular economics

This project is a cross-disciplinary study of econometrics and machine learning (ML) models applied to the decision making modelling in industry. The problematic arises from the lack of tools supporting the transition to circular economics model and the need to identify the key factors to influence this transition. The project aims to explore the key […]

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Detection of anomalous emotional responses using attention mechanisms for deep machine learning

Computer-based multimodal affect recognition methods fuse multiple informational channels, typically video, audio, and text, to resolve the emotional state of a monitored individual. The proposed research aims to develop multimodal deep learning models to recognize anomalous emotional responses, which correspond to a deviation from the expected affective reaction for a particular context. Since multimodal affect […]

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Analyse de données métabolomiques et lipidomiques de patients avec insuffisance cardiaque

La métabolomique est une science prometteuse pour identifier de nouveaux marqueurs biologiques associés à l’insuffisance cardiaque à fraction d’éjection préservée (HFpEF), afin d’améliorer son diagnostic et son traitement. Notre projet vise l’utilisation de méthodes de bioinformatiques et d’intelligence artificielle pour l’analyse de données métabolomiques et lipidomiques de patients HFpEF, précédemment générées et prétraitées dans nos […]

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Using machine learning to explain the fitness landscape of an enzyme involved in antibiotic resistance

An organism’s genome contains the information necessary for its development. Part of this information is used as “instructions” for cells to synthesize molecules called proteins, which perform most of the cell’s functions. However, over time, changes to the genomic information can occur. These changes (mutations) can have all kinds of effects: some might cause diseases, […]

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Geophysical detection of microplastics in soils

Plastics pollution is a global environmental hazard with a wide range of impacts on wildlife, biodiversity, food webs, ecosystem services and human wellbeing. Of particular concern are microplastics (including nanoplastics) because their small sizes enhance their long-range transport, their uptake by biota and the capacity to sorb and leach contaminants. The proposed project will focus […]

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Architected materials design using quasi-periodic homogenization

Architected materials are those which have a designed microscopic structure or “microstructure”. They of exhibit material properties which are not attainable by conventional materials. One important field of application for these materials is bone biomechanics, in which the search for suitable bone biosubstitutes is of high scientific and clinical importance. For example, architected materials are […]

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Cholinergic bioactives from cereals

Cholinergic compounds can act as both pharmaceuticals and bioactive compounds in functional foods. Alpha-Glycerylphosphoryl choline (alpha-GPC) is a known cholinergic compound that is used in Korea as a prescription pharmaceutical for treatment of Alzheimer’s disease. However, development as a functional food and related researches in Korea is limited. Recently, the team led by Dr. Martin […]

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Tokamak Dust Studies Collaboration (STOR-M and WEST)

A fusion reactor is a device capable of producing even more power than a fission reactor, with carbon free emissions and no long lived radioactive waste. No fusion reactor exists as of yet, though the tokamak design is a promising candidate. The goal of a modern tokamak is to produce a fourth state of matter, […]

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Des phytotechnologies aux jardins de biodiversité

L’objectif du projet présenté ici est d’établir le potentiel d’utilisation de plantes indigènes et de leur combinaison face à la décontamination du triclosan au sein d’infrastructures phytotechnologiques innovatrices ; des marais filtrants intégrés aux paysages québécois. Pour ce faire, des marais en mésocosmes seront mis en place en fonction de la diversité, de la capacité […]

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