Glycerol is generated in a large quantity as a byproduct in bio-diesel plants, and hence utilization of crude glycerol for value-added chemicals (such as 1,2-propanediol – an important commodity material used in the production of polyester resins and pharmaceuticals) will yield both economic and environmental benefits to bio-diesel plants. On the other hand, the declined […]

The proposed research project aims to explore and promote the involvement of women newcomers in building stronger communities and creating new economic opportunities. Specifically, the project will focus on supporting these women in becoming entrepreneurs and fostering social cohesion. By partnering with the YWCA, the project seeks to empower women newcomers, understand their unique challenges, […]

Residency is a rigorous and highly demanding part of medical education during which time there are multiple demands on trainee’s time and often as a result high rates of isolation and burnout. This is especially prevalent during the final examination year of training. Several factors have been identified by students to be protective and supportive […]

This research project aims to explore the lived experiences of immigrants in rural Nova Scotia and the barriers and enablers they face in accessing leadership positions. The research will involve conducting interviews and focus groups with immigrants, community members, government representatives, and NGOs. By understanding the struggles and biases that emerge from this research, the […]

In the proposed research project, linear regression, a machine learning method, will be used to create a system for estimating home prices. To pinpoint important elements that significantly affect home prices, the intern will analyse historical data from the Multiple Listing Service (MLS). They will use this data to train a regression model, which will […]

High Voltage DC Transmission (HVDC) is used for bulk power transfer over long distances. Manitoba Hydro system involves collection of AC power in the north where it is converted to DC and then transferred to southern Manitoba (approx 900km) where it is converted back to AC to feed consumers. Recently the problems of inter area […]

The research project aims to investigate the efficacy of Improvised Active Music Therapy (IAMT) in assessing the motor and cognitive functioning of patients with Parkinson’s Disease (PD). As an emerging treatment, music therapy has been embraced as an effective rehabilitation alternative for neurodegenerative conditions, such as PD. In IAMT, the music therapist facilitates a spontaneous […]

Consider a question that a policymaker might have: which economic factors have causal effects on the median housing price in a region? Answering this question requires gathering historical observations of house prices and economic factors of interest and performing statistical analysis to asses causal effects. But what if the policymaker does not exactly know which […]

This project has two objectives. At the individual level, we propose to develop, using artificial intelligence, a predictive tool useful in the doctor-patient relationship. It will indicate the five-year risk of death for asthma and COPD patients based solely on individual electronic information already recorded by the provincial health insurance organism: sociodemographic factors and the […]

Collaboration and Capacity building are required to engage with the challenges and benefits of technical expertise within, and available to, municipal politics and policy, the challenges and benefits of both representative and direct democracy, and the existence of multiple sources of knowledge, including the social sciences, Indigenous knowledges, and local knowledge. This project is the […]

Given the ever growing neural networks being developed and the abundant empirical evidence that model/data scale play an important role in enabling high-quality models of data, inference cost becomes a bottleneck to the deployment of state-of-the-art automated predictors. To address that, this research project aims to develop algorithms that can predict outcomes by combining predictions […]

Physical activities, such as running, cycling, and weightlifting, are typically associated with a subjective feeling of exertion. Such perception of exertion is generally defined as “how heavy and strenuous a physical task is”. People’s subjective feelings of exertion is strongly associated with the task intensity and their energy expenditure. People also often exercise together, both […]