Developing a Reliability-Based Life-Cycle Cost Model for Electric Motors

The proposed internship aims to study how the characteristics and reliability of Permanent Magnet Electric Motors (PMs) affect their life-cycle cost (LCC), including initial, maintenance, and energy costs. First, the effect of the variation of design variables on the performance and initial cost of PMs will be assessed and the cost will be correlated to […]

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Automated optimization of robotic tasks and transitions using graph-based approaches

In recent years, machining with robots has become a trend in the manufacturing industry. The concept offers an economical solution for medium to low accuracy machining applications. However, due to the complexity of the robot kinematics, planning for these paths is challenging. Jabez Technologies has developed a semi-graphical approach that can program large robot-paths. This […]

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Impacts of hydroelectricity production on aquatic ecosystems: Development of key environmental indicators for Life Cycle Assessment (LCA) approach

In boreal and temperate regions, dams are mainly constructed to provide ecosystem services such as hydroelectricity production. River impoundment and the alteration of natural hydrological regimes are suggested to be major disturbances to aquatic ecosystems. To meet long-term environmental objectives for sustainable development, Hydro-Quebec recently adopted the Life Cycle Assessment (LCA) approach. LCA is an […]

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Mieux comprendre pour mieux cibler : exploration intelligente des indications oncologiques adaptées aux thérapies conditionnelles

9Bio est une entreprise spécialisée dans l’ingénierie de protéines thérapeutiques pour l’oncologie. Cette jeune pousse a développé une plateforme de biologie structurale computationnelle dont le but est d’aider à la conception de traitements thérapeutiques qui ciblent sélectivement les tumeurs en fonction des signatures métabolomiques et chimiques uniques du microenvironnement tumoral, tout en épargnant les tissus […]

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Impacts de la production d’hydroélectricité sur les écosystèmesaquatiques : Développement d’indicateurs environnementaux pourl’approche du cycle de vie (ACV)

In boreal and temperate regions, dams are mainly constructed to provide ecosystem services such as hydroelectricity production. River impoundment and the alteration of natural hydrological regimes are suggested to be major disturbances to aquatic ecosystems. To meet long-term environmental objectives for sustainable development, Hydro-Quebec recently adopted the Life Cycle Assessment (LCA) approach. LCA is an […]

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Évaluation longitudinale des impacts d’essais de vélo à assistance électrique (VAE)

(1) Équiterre est une ONG canadienne opérant au Québec. Sa mission est de promouvoir des objectifs écologiques, équitables et sociaux. Elle mène de nombreuses activités pour promouvoir ces objectifs auprès des citoyens, des organisations et des gouvernements. Équiterre a plus de 25 ans d’expérience dans la sensibilisation et la mobilisation pour le développement durable. Le […]

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Camera data collection and modelling in CEA

Controlled environment agriculture (CEA) is moving towards innovative, remote monitoring instrumentation and artificial intelligence solutions that can predict and detect physiological plant characteristics that will improve crop yield. Creating a reliable plant health monitoring system is critical to oversee plant health, track growth rates/yield, and identify diseases, coupled with prevention strategies that safeguard crop integrity […]

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Reversing immune evasion through modulation of exosome release

Ovarian cancer is the deadliest type of cancer affecting the female reproductive system. While surgery and chemotherapy are commonly used to treat it, many patients experience a recurrence of the disease that no longer responds to treatment. Immunotherapy—a method that helps the body’s immune system fight cancer—has worked well in other cancers but not in […]

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Multiscale Simulation of Cortical and Hippocampal Dynamics Using Region-Specific Brain Network Models

Recent advances in computational neuroscience underscore the value of biologically accurate models integrating multimodal neuroimaging to simulate brain activity realistically. Deep brain areas like the hippocampus, crucial for memory and cognition, pose challenges for non-invasive study due to their complex dynamics. The Region-Specific Brain Network Model (RSBNM) addresses this by combining Neural Mass Models, high-resolution […]

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