Les mycotoxines contaminent principalement les céréales au champ ou au cours de leur stockage. Elles sont toxiques pour l’homme et les animaux. Avec plus de 56% d’échantillons testés positifs en alimentation animale, la zéaralenone est la mycotoxine la plus présente en Amérique du Nord après le déoxynivalenol. La présence de cette mycotoxine dans l’alimentation, même […]

Sustainable product development adheres to the needs of the present while developing a product without compromising the ability of future generations to meet their needs. This proposal aims to develop a suite of sustainability metrics that can be computed by analyzing data like company website, product material information, etc. The metrics will be integrated into […]

Plant-based beverages, originally introduced as cow milk alternatives, have attracted great attention from consumers in recent years due to their sustainability and health benefits. Oat beverages has become one of the most successful commercial products in the Canadian market due to the large oat production, high protein and dietary fiber contents and excellent sensory property. […]

The boreal mixedwood forests of the Abitibi region of Quebec are often characterized by a canopy of trembling aspen with shade tolerant species such as white spruce and balsam fir in the subcanopy. In many cases, harvesting has converted complex mixedwoods into simpler, even aged forests. Due to the differences in regeneration and tree growth, […]

In Canada, research ethics boards vary widely in the way they interpret risk to patients when their personal information is being re-used for research purposes. However, many research ethics boards will permit information to be shared without consent when they believe there is a low risk of re-identification. PARAT is Privacy Analytics’ de-identification software tool. […]

The interns and academic advisor will assist the partner organization (Pombcoup Technologies) to design, develop and test in-water on trawling vessels, a bottom trawling net that, unlike traditional nets, does not touch the seabed and thus avoids the usual extensive seabed damage and disruption. Consequently, the drag force loading of this bottom trawling net will […]

Imaginez un monde dans lequel vous seriez les acteurs du contenu audiovisuel. Un monde dans lequel votre avis aurait un réel impact sur vos émissions préférées. Ce projet va dans ce sens puisqu’il tente de créer une réelle connexion entre les diffuseurs et les téléspectateurs. L’interactivité est donc de mise, tentant de mettre l’utilisateur au […]

Pharma in silica is a preclinical stage company developing silica-based nanoparticles to formulate more efficient and better tolerated chemotherapy modalities. In this collaboration, they will benefit from the expertise of the laboratories of Prof N. Bertrand and S. Fortin to obtain useful chemistry, manufacturing, and control (CMC) information and advance their nanoparticles toward regulatory approval. […]

The world has experienced rapid urbanization and population growth in recent years, which resulted in increased energy consumption, GHG emission, and climate change. To avoid dangerous climate change, different countries such as Canada developed plans to achieve net-zero emission by 2050. Technology plays an essential role in achieving these objectives. Planete GreenLeaves is a web-based […]

The federal non-refundable Disability Tax Credit (DTC) is an important benefit for people with disabilities as it can provide funding to offset some of the additional costs associated with living with a disability. DTC recipients are also eligible for other federal benefits that can provide an important source of income for people living with disabilities. […]

Women suffer from disproportionately higher rates of dementia, and face more barriers to equitable care. To help reduce the risk of developing dementia among women, programs that primarily target women, caregivers, and those affected by dementia are imperative. In partnership with the Women’s Brain Health Initiative we intend to create and evaluate the effectiveness of […]

Modern machine learning methods are data-intensive processes, requiring massive amounts of training data to achieve a high level of performance. As such, these techniques are challenging to deploy on tasks where datasets are especially difficult or expensive to obtain or where edge cases and other rare events are most relevant and worth learning. In such […]