Peripheral T-cell lymphoma (PTCL) is a type of blood cancer with poor treatment outcomes, as patients often relapse or do not respond to available therapies. A key factor driving the growth of cancerous T cells in PTCL is a protein called ITK, which helps these cells survive by activating biological pathways that boost cell growth […]

Huntington’s Disease (HD) is a debilitating neurodegenerative disease marked by progressive loss of motor control and cognitive function. Presently, there are no disease-modifying therapies. A potential avenue for slowing or stopping HD progression is to target huntingtin (HTT), or polyglutamine-expanded mutant HTT (mHTT), for degradation using proteasome targeting chimera (PROTAC) technology. A PROTAC will bring […]

Ce projet de recherche est mené en partenariat avec Les Commissionnaires du Québec, une OSBL oeuvrant dans le domaine de la sécurité au Québec, et des chercheurs de Polytechnique Montréal. L’objectif du projet est de concevoir un prototype de système de recommandation pour supporter le processus d’appel d’offres, et à terme, d’améliorer la rentabilité des […]

THIS IS A GENERIC TEXT PUT IN PLACE AS THERE WAS NO PROJECT OVERVIEW

Persistent organic pollutants (POPs) are harmful chemicals that threaten marine life and ecosystems worldwide, including majestic creatures like killer whales (Orcinus orca). Despite efforts like the Stockholm Convention treaty to control these pollutants, they persist in the environment and continue to harm wildlife. Killer whales, as top predators, face particular risks due to their position […]

Science du Sport Canada reconnaît l’importante influence des entraîneurs dans la création d’une culture d’excellence, centrée sur la performance et le bien-être des athlètes. Toutefois, la plupart des interventions se concentrent sur les contextes de haute performance, laissant les athlètes en développement insuffisamment étudiés. Cette étude documentera une intervention visant à instaurer une culture valorisant […]

??Submerged Aquatic Vegetation (SAV) are important in aquatic ecosystems as they represent hotspots of biodiversity and ecosystem functioning. Earth observation technologies (EOT) constitute a cost-effective monitoring tool for environmental variables at large scales but their use in freshwater environmental monitoring remains limited because of the optical complexity of inland waters. This research develops and builds […]

Les écosystèmes côtiers rendent des services écosystémiques importants dont la séquestration du carbone pour la lutte contre les changements climatiques. Dans le contexte de l’élévation du niveau marin, ces écosystèmes sont vulnérabilisés à la suite d’importantes pertes de superficies avec le recul des côtes. Le littoral de la côte du Golfe du Saint-Laurent vers la […]

This research champions anti-racist thinking around housing in the city of Ottawa. This project considers the possibility of antiracist cities by examining how racial inequities are produced through housing, how displacement occurs in the city of Ottawa, and how grassroots advocacy for secure, affordable housing may facilitate spatial and racial justice. This research will contribute […]

The Saanich Peninsula Environmental Coalition (SPEC) and the ACT – Action on Climate Team, SFU are working together to implement a bioregional approach to conservation and sustainability on the Saanich Peninsula on Vancouver Island, BC. SPEC developed a Bioregional Framework in 2021 which outlined a holistic approach to environmental health and management and advocated for […]

Constructed wetlands are multifunctional natural-like systems created for wastewater treatment, biomass production, water storage, flood retention, and wildlife habitat. Constructed wetlands where water-loving plants grow can also absorb carbon dioxide from the atmosphere and thus potentially contribute to offsetting greenhouse gas emissions produced by human activities. However, like all wetlands, constructed wetlands also produce greenhouse […]

A significant amount of fraudulent activity tends to go unreported in reality, one of the major focuses for our team recently has been to develop robust GNNs that can perform anomaly detection on noisily labeled graphs. Noisily labeled anomalous data can reduce the model performance as it learns incorrect patterns during training, cause the model […]