The importance of Adiponectin signaling during cardiac remodeling

Many reports have established a correlation between obesity and diabetes with cardiovascular complications such as heart failure. This occurs due to changes in the structure and function of the heart, yet the precise mechanisms responsible for regulating these changes in diabetes remain to be determined. This project will focus on the role played by a […]

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Introducing Language Documentation to EFL Learners: a Project-Based Curriculum

Almost half of the languages spoken in the world today are in danger of disappearing, and the human and financial resources devoted to the documentation and revitalization of vulnerable languages are nowhere near enough to meet the need. In contrast, English is a required subject worldwide and English Language Teaching (ELT) is a multi-billion-dollar industry. […]

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Robot social d’assistance pour réduire les situations d’isolement et soutenir l’adoption de saines habitudes de vie chez les personnes aînées

L’accompagnement des personnes aînées en perte ou à risque de perte d’autonomie et la préservation de l’indépendance et des relations sociales constituent des priorités en termes de santé publique. Dans ce contexte, le projet de stage vise à développer le robot d’assistance sociale T-Top pour soutenir les aînés en situation d’isolement social, en s’appuyant sur […]

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PEP – Patient Empowerment Programs

Nearly half of adults live with at least one of the top ten chronic conditions—such as hypertension, osteoarthritis, or diabetes—and two in five people can expect a cancer diagnosis in their lifetime. These conditions are among the leading causes of morbidity worldwide, significantly reducing quality of life and increasing the risk of mental health challenges […]

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Dual opportunity and risk of LLM-based language translation in international institutions

In accordance with the Digital Policy Hub research foci on artificial intelligence, as well as digitization, security and democracy, the underlying purpose of the project is to research the limitations of language translation technologies in order to suggest updated policy for international institutions to responsibly use them. This directly supports the Digital Policy Hub’s objective […]

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Digital agriculture: Non-destructive Phenotyping and Disease Symptom Monitoring using Remote Sensing

Agriculture must meet the needs of the continuously growing world population. To this end, sustainable strategies that improve resource use efficiency (human, fuel, water, herbicides, pesticides, and fertilizers), reduce inputs and environmental impacts, and sensing methodologies that provide actionable information are in demand. This research will increase the potential for collecting high-quality data in the […]

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Using Machine Learning Software (Deep Anatomical Federated Network) to Analyze Magnetic Resonance Imaging (MRI) Sequences of Anatomical Structures

We aim to enhance AI learning of MR images by providing scans of the pectoralis major, deltoid, and gluteus maximus from young healthy adults to Deep Anatomical Federated Network (DAFNE). DAFNE is a decentralized AI software that improves over time through user refinement. Machine Learning (ML) models enable faster automated analysis, distinguishing anatomical structures and […]

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Connected Canadians Feedback & Evaluation Coordinator

This project will help Connected Canadians improve the way it delivers free digital literacy training to older adults. By observing, participating in, and helping lead technology workshops and other training sessions, the student intern will gather feedback and suggest ways to make the training offerings even more helpful and easy to follow. The intern will […]

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Dual Cobalt/Photoredox Catalyzed Synthesis of Urea-Type Containing Heterocycles

A key goal in modern organic chemistry is the development of efficient synthetic routes to access industrially relevant structures starting from highly abundant feedstock chemicals, while minimizing the use of expensive rare-earth metals for catalysis. This project aims to synthesize urea-type containing heterocycles, which are a common structural feature found in many biologically active compounds, […]

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Early Detection of Grain Spoilage and Contamination Using Hybrid NIR-E-Nose Systems with Machine Learning

This project explores the feasibility of using a hybrid sensing system that combines Near-Infrared Spectroscopy (NIR) and Electronic Nose (E-Nose) technologies, enhanced by machine learning, to detect early signs of spoilage and contamination in stored grains. By analyzing changes in grain structure and gas emissions, the study contributes to ongoing research on reliable, non-destructive, and […]

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An Examination of the Biological Impacts of Ocean Alkalinity Enhancement in Halifax Bay via Biogeochemical Observations

The increasing severity of climate change and glacial pace of emissions reform is requiring the development of new strategies for atmospheric CO2 drawdown. One of the approaches that has been gaining traction is Ocean Alkalinity Enhancement (OAE), a method that increases the physical absorption of atmospheric CO2 into the ocean by dispersing alkaline materials in […]

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