Calcium Supplements, Elemental Bioavailability, and Uptake by Bone

The goal of this Mitacs research proposal is to develop and apply experimental methodology capable of distinguishing the influence of calcium supplement dosage form upon elemental calcium uptake, plasma concentration and spatial distribution in the bone of laboratory rats. In order to achieve those endpoints, we plan to utilize the compound strontium ranelate, which serves […]

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Mass Timber Floor Vibration Design Guide and Validation

Mass timber floors are increasingly becoming an attractive option for floor system when compared to concrete or steel floors. This is particularly significant for multi-story buildings, where floor framing represents a large amount of the buildings cost and material use. Currently, these flooring systems are largely made out of concrete or steel, so there is […]

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Planification et développement d’algorithmes d’interprétation d’images spectrales

L’entreprise Logiag (pour logiciels agricoles), en partenariat avec le Conseil national de recherches du Canada (CNRC) a mis au point une technologie LIBS (« Laser Induced Breakdown Spectroscopy ») pour la réalisation d’analyses agricoles (sol, feuille, fourrage). L’appareil, déjà certifié par la norme ISO 17025 (qui reconnaît la compétence des laboratoires d’essais et d’étalonnages), permet […]

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Développement d’un banc d’essai universel pour la production en laboratoire de copeaux spécialisés et la détermination des paramètres de coupes

L’industrie du sciage génère des volumes importants de copeaux dont la majeure partie est utilisée par l’industrie des pâtes et papiers, un secteur qui vit une décroissance structurale en raison de l’essor des technologies numériques. C’est dans ce contexte que le SEREX, FP Innovations et l’UQAR collaborent avec le milieu industriel pour identifier de nouvelles […]

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Machine learning algorithms utilization for business process optimization and enhanced predictive symbiotic matching within the logistics transportation management ecosystem

In this project, various business challenges within the transportation management industry will be studied to look for ways to optimize and improve the current practices. Artificial intelligence-based algorithms will be developed in order to automate manual intensive processes, optimize route planning and demand management, including price fluctuations, adverse weather events and seasonal impacts, and finally […]

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Local Sustainability Partnerships: Understanding the relationship between partnership structural features and partners’ outcomes

Over 10,000 cities around the world have implemented LA21s through partnerships involving public, private and civil society organizations. Organizing large cross-sector partnerships requires structures for ensuring collaborative action (such as decision-making processes, communication systems, monitoring and reporting systems, etc.). Being involved in the partnership results in outcomes for the partner organizations (e.g., sustainability progress, legitimacy, […]

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Development of high-dimensional robust split regression models to measure data quality for improved use of sensors and diagnostics in a heavy industrial setting

We propose the development of novel statistical methods to improve upon detection of normal and abnormal behaviours in industrial sensors. The ability to detect subtle changes in sensor performance in a wide range of operational conditions has significant potential for MineSense Technologies Ltd., which operates sensors in challenging conditions. It can be very difficult to […]

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Measurement-based Distribution System Models for Distributed Energy Resources Control

The integration of significant capacities of distributed energy resources (DERs) such as renewable wind and solar generation for a more sustainable energy future creates several challenges to the reliable and efficient operation of power distribution systems. These include: (i) Uncertain and intermittent nature of renewable generation compromises power quality for end-customers. (ii) Up-to-date distribution system […]

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Labo Climat Montréal

Le Labo Climat Montréal est un projet de recherche qui accompagne la Ville de Montréal et Ouranos dans le redéveloppement urbain du quartier Lachine Est. Son objectif est de développer de nouvelles pratiques de planification de projets urbains qui prennent en compte l’adaptation aux changements climatiques. Pour cela, les stagiaires participeront aux nombreuses tâches du […]

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Deep learning-based Vision Inspection

Quality inspection is very important for manufacturing industry, current solution struggles with accuracy and requires machine vision knowledge to use. We are proposing to use deep learning technology to improve the performance of inspection as well as to ease the use of such system, so that user can simply use labeled data to build a […]

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Middle ear optical coherence tomography imaging system

This project will develop a microscope to allow ear surgeons to non-invasively see through the ear drum and into the middle ear. 250,000 ear surgeries are conducted annually in the US, but currently ear surgeons do not have a good diagnostic tool for imaging the middle ear non-invasively. For many forms of conductive hearing loss, […]

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Development of activated carbon from thermal coal for electrical double-layer supercapacitors – Part 2

Supercapacitors are electrochemical energy storage devices that promise fast charge-discharge rate, high power density, and long cycle life. However, low energy density and high cost of supercapacitors are yet to be addressed to catch up with the established market of batteries. This research project will design low-cost and high-energy electrodes for high-performance supercapacitors. To this […]

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