Experimental and Computational Analysis of Explosion Risks in Hydrogen-Enriched Fuel Mixtures for Industrial Safety Applications

The global energy system remains heavily reliant on fossil fuels, which continue to supply about 80% of global demand. While renewable energy is growing, combustion-based systems—such as gas turbines and engines—are expected to dominate for decades. This dependency contributes significantly to harmful emissions like CO and NO?. As a clean fuel with no carbon emissions […]

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Medventions Atlantic Fall 2025 – General Surgery

The Medventions Atlantic program based on the proven model from Sunnybrook Health Sciences Centre enables high-performing students and recent graduates from diverse academic backgrounds to engage directly with frontline clinical and innovation challenges. The interns are embedded within clinical environments to identify unmet needs, apply early-stage innovation thinking, and co-develop solutions with clinicians, patients, and […]

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Development of non- or minimally toxic marine coating with black Titania

The proposed project will benefit the participating institutions by establishing a new international partnership focused on developing sustainable, non-toxic coatings to combat marine biofouling, an issue with significant economic and environmental implications for industries like shipping and aquaculture. By combining expertise in photoactive materials and microbial-material interface analysis, the collaboration will enhance research capacity at […]

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L2M – Link Between Worlds

Link Between Worlds is a project that combines play therapy techniques and teaching creative expression to Indigenous peoples and communities that typically are not given a voice. The objective of Link Between Worlds, through an intensive/retreat format, is to teach and provide a safe space for indigenous people to grow and learn skills in storytelling/filmmaking, […]

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Adoption of Frictionless Retail Technologies: Key Factors and Impact

This project will study consumer experience and reaction to shopping in a frictionless or autonomous store environment. Fricitonless stores offer a no-cashier shopping experience using advanced technologies such as computer vision , weight sensors and light sensors. The adoption of some or all aspects of this technology has significant potential benefits for retailers in terms […]

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Uncovering Sources of Plastics Waste in the Maritimes to Support Innovative Recycling Technologies

The project aims to collect and synthesize information pertaining to low-grade plastics waste streams in Atlantic Canada. The project will focus on type, quantity, quality, location, and current management practices of the plastics waste streams identified. Information will be gathered primarily from farmers, waste management groups, and key government informants in Nova Scotia. The intern […]

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L2M – ITASpheres

Periodontitis, or advanced gum disease, is a chronic inflammatory condition that affects roughly 1 in 3 North Americans. In severe cases, periodontitis leads to tooth and bone loss, but it’s also been linked to a range of serious health conditions including heart disease, diabetes, respiratory illness, autoimmune disease, and even Alzheimer’s. Despite its prevalence and […]

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Testing the relationships between balancing selection and deleterious genetic mutations in four endangered species of whale

Although small and isolated populations experience increased extinction risk, recent research shows that not all small populations are doomed to extinction. The ability to predict the probability of extinction in nature could therefore direct conservation resources to those populations most in need. One theory is that small populations can evade extinction when directional selection removes […]

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L2M – Smart Textiles And Autism Spectrum Disorder

This project will validate an inclusive, wearable feedback system designed to support emotional regulation by detecting stress, mapping emotions, improving emotional communication, and preventing burnout and meltdowns. It is especially relevant for individuals with autism, ADHD, and sensory sensitivities, offering discreet, real-time feedback that enhances emotional awareness and expression. Grounded in ethical and inclusive design, […]

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L2M – NeurolAssist

We are developing a specialized AI-driven Clinical Decision Support System (CDSS) for neurology that integrates a large language model with domain-specific tools (such as neuroimaging analysis, EEG interpretation, and up-to-date medical knowledge retrieval). The system serves as an intelligent assistant for neurologists, helping analyze patient data (e.g. MRI scans, EEGs, clinical notes, etc.) and providing […]

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