Human operators show significant variability in performance when operating in complex manufacturing systems that are usually referred to human errors. Such errors are identified as the failure to perform an action within the safe operating limit and often lead to product quality defects. Approximately 50%-80% of the incidents and accidents in safety-critical systems have been […]

Le secteur industriel est le principal consommateur d’énergie au Québec, avec 38% de toute l’énergie consommée. Or, les études montrent qu’entre 20 et 50% de l’énergie consommée en industrie est perdue sous forme de rejets thermiques. Il s’agit donc d’un important gisement d’économies potentielles d’énergie pouvant être exploité. Bien que le domaine de l’usinage ait […]

Il a été démontré que les tumeurs exploitent certains mécanismes liés aux récepteurs immunitaires (point de contrôle) pour échapper à la réponse immunitaire. La mise sur le marché d’anticorps monoclonaux (mAbs) approuvés par la FDA, pembrolizumab et nivolumab en tant qu’inhibiteurs du récepteur immunitaire programmed death-1 (PD-1), et du durvalumab et de l’avelumab qui ciblent […]

Many of those dealing with anxiety and/or depression are frequently in the care of a friend, partner, or family member known as an informal caregiver. This important role can be very taxing both physically and psychologically, yet few resources are available to specifically target individual caregivers’ needs. The proposed project will contribute to our understanding […]

Continuous centrifugal casting (CCC) is a new process to produce aluminium tubes with many advantages over classical extrusion: reduced amount of scrap and energy consumption, low transformation costs, more flexibility to produce tubes of different sizes… In CCC, a constant flow of molten aluminum feeds a rotary mold which solidifies the metal into a tube […]

Ce projet de recherche se découpe en deux parties : découvrir quels ont été les apports des théories de la bibliothèque comme « troisième lieu » dans le fonctionnement et l’organisation des bibliothèques en France et aussi préciser les éléments culturels particuliers au pays qui ont fait que cette nouvelle conception du rôle des bibliothèques […]

The project aims to analyze the through-thickness compaction of dry fibrous reinforcements at the mesoscopic scale. Predicting how fiber tows deform during the compression of woven fabrics is important in resin injection processes because textile deformation plays an important role on permeability. Fiber orientation governs also mechanical performance. Hence, compaction represents a key issue that […]

My research will be looking into the relationship of migrant workers in the tourism industry is with current levels of governance in Los Cabos, Mexico. The objective of this work is to identify how to reduce vulnerabilities for migrant workers in the tourism industry that have traveled to Los Cabos from other parts of Mexico […]

La collaboration entre l’Université du Québec à Trois-Rivières et Laferté Bicycles aura pour but de mettre à l’essai en laboratoire du matériel novateur pour l’évaluation fonctionnelle pré-positionnement ainsi que du matériel de prise de mesures lors du positionnement pour appuyer les décisions et avancements. Les données recueillies en laboratoire seront traitées et évaluées afin de […]

Many cities around the world and specifically Latin America are now being forced to relocate due to the effects of climate change. This is the case of La Barra, a small village located on Colombia’s Pacific coast. Due to its destruction by rising sea levels, extreme weather events, and increased erosion, the village is in […]

In contemporary city building, large sports venues are seen as a means to prompt urban development. Despite a plethora of studies suggesting sport events and stadium construction have little appreciable effect on income, employment and economic development at a municipal scale, governments continue to promote them, often in partnership with higher levels of government and […]

Deep neural networks are a valuable machine learning method that is at the heart of many technological innovations. From self-driving cars to automatic translations and image recognition, etc. it seems that deep neural networks are a great tool that can adapt to different problematics. However, defining the right network for the right application is a […]