Winter wheat is crop that is growing in popularity in Quebec, as it produces more grain per hectare than spring-planted wheat and has many positive effects on soil health. However, many of the varieties used by farmers are not actually bred for this region, and are often maladapted to the local environment. The Center for […]

Quartier des spectacles is a dense multi-cultural hub with large outdoor festivals, also housing an ever-growing residential population due to new high-rise development projects. Given the need to balance vitality with quality of life, this project focuses on expectations of residents and festivalgoers in terms of their sound environment. We implement a methodology to assess […]

The future of aerospace technology relies on us investing in lighter, more fuel-efficient materials that can operate at hotter temperature with greater corrosion resistance. One such alloy that has the potential to meet these needs is the new aluminum alloy A205. In this work we aim to develop a hard anodising process for the A205 […]

The discrimination between viral and bacterial infections has long been a goal in the field of point-of-care (PoC) diagnostics. Such a diagnostic tool would prevent the over-prescription of antibiotics, a leading cause of antimicrobial resistance. Current standard methods involve sending patient samples (throat swabs, blood, urine) to specialized clinical labs. This usually involves expensive and […]

Many young adults are affected by tooth sensitivity stimulated by eating or drinking something hot, cold, sweet or acidic, which impacts their life quality. Tooth sensitivity can start when the softer, inner part of the tooth called dentin becomes exposed. The dentin contains a large number of parallel microtubules that run from the outside of […]

This project will investigate the efficiency of the ferrosilicon smelting process by determining electrical resistance of the raw materials. Ferrosilicon is produced in a submerged-arc furnace, and requires large amounts of electrical energy. The process requires quartz, iron, and carbon as the raw materials. Each of the three input materials have different electrical properties that […]

In this project, the interns will develop a new set of tools and techniques to provide new scientific insights into the detailed interactions that occur between drug and target molecules in the human body. Understanding of these interactions is critical to design better, more effective, and more precisely targeted drugs. The problem is that current […]

During night shifts, workers’ circadian rhythms (or “body clocks”) do not align with their work schedules. This misalignment results in poorer sleep and more workplace errors relative to working during the day. It is possible to align the body clock to night shift schedules by controlling one’s exposure to light. However, the effectiveness of this […]

Unmanned aerial vehicles (UAVs) have become increasingly used in the fields of data collection, surveillance, and search and rescue missions. For many UAVs, knowledge of the instantaneous wind speed and direction and overall wind field are of interest, as this knowledge can help better control the position and orientation of the UAV in heavy wind. […]

APN in Quebec City faces a high fluctuation of the lifespan of tools in machining operations such as milling and turning. This hampers production planning, since the number of necessary tools for a job as well as their lifetime cannot be well predicted. Previous investigation on this challenge could not determine a reason for this […]

Humic Land is a multi-purpose, 100% organic fertilizer that was produced from black peat using innovative technology that protects live soil microorganisms. It contains a microbial consortia that may produce plant-growth promoting substances, thereby acting as biological promotor of crops growing in stressful conditions. This research will evaluate three mechanisms that could explain Humic Land’s […]

The most successful computer vision approaches are based on deep learning architectures, which typically require a large amount of labeled data. This can be impractical or expensive to acquire. Therefore, few-shot learning techniques were proposed to learn new concepts with just one or few annotated examples. However, unsupervised methods such as generative adversarial networks (GANs) […]