Investigation of state-of-the-art tools and methods for analysis of PTSD using neurovisualization

This project investigates existing and potentially new approaches to analyze functional brain structures in individuals with post-traumatic stress disorder (PTSD), using advanced neuroimaging such as fMRI, and machine learning. The goal is to identifying patterns built on dependent features within the images representing the connectivity matrices of brain regions. The project will investigate whether causal […]

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Quantum-Enhanced Double DQN for Real-Time Bus Scheduling: A Comparative Study

Efficient real-time scheduling of bus operations remains a critical challenge in urban transit systems, particularly under uncertain traffic conditions and high passenger demand variability. Our existing Double Deep Q-Network (Double DQN) implementation has demonstrated promising results in learning optimal holding and stop-skipping policies for bus operations. However, as urban networks grow in complexity and require […]

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Exploring the Determinants of Women Leader Wellbeing in a Canadian Organization: A Mixed Method Investigation into the Factors Influencing Female Leader Happiness and Wellbeing.

This mixed-method study focuses on bringing new learning to the field of women in leadership, particularly their level of happiness and well-being. Using female senior leaders at a Canadian bank, a quantitative survey will be administered to 225 leaders. The survey utilizes a combination of an adapted Cantril’s Ladder (Gallup), the Eudaimonic Workplace Well-Being Scale, […]

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Looking at the real-world impact of the Agilik lower-limb orthosis on user quality of life and mobility.

This project aims to improve the uptake and provide further efficacy evidence of Bionic Power Incorporated’s Agilik lower-limb orthosis in Canada. To fulfill this goal, baseline predictors of long-term health-related quality of life associated with the Agilik’s treatment of knee flexion-extension impairment will be identified through an observational prospective cohort study, looking at real-world impacts […]

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Injury, Concussion and Performance in the Canadian Premier League

Injuries and concussions are common in soccer and can result in time loss from sport. To prevent injuries and concussions we must first understand the burden and risk factors for injury. Therefore the purpose of this four year study is to: 1) understand the burden of injury and concussion; 2) risk factors for injury and […]

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Developing novel pea varieties with improved flavour, aroma, and digestibility

Pea protein is an excellent alternative to animal protein for consumers that are concerned with the environmental, ethical, or health implications of animal agriculture. Unfortunately, many consumers can not make dietary choices that align with their other concerns as pea protein has several undesirable traits impeding consumers from adopting pea protein into their diets. These […]

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Wind turbine drive-train condition monitoring

As well as being green, wind energy is one of the cheapest ways of generating electricity and it is currently the most common generating technology for new installations in Canada. Wind farm owners, however, are finding that key turbine components, such as the generators and gearboxes, can fail long before the 20 year lifetime that […]

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Human factors in drilling automation

The efficient utilization of automation systems necessitates a clear understanding of the interaction of the human operator, the automation system and any automated routines being run. Precision Drilling is installing the newest generation of drilling automation control systems on their fleet of rigs and wishes to understand both the interaction of the human driller with […]

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The impact of correlations on VaR

Energy companies are in the business of turning energy from one form into another. For example, a gas-fired power station turns chemical potential energy stored in the natural gas into electrical energy. A natural gas storage facility allows energy (held in the form of natural gas) to be stored at one point in time and […]

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Development of new techniques for power system model validation and calibration

Dynamic modeling is one of the most important tools for the power system operation and planning purposes. In order to study the behavior of the system, which is subjected to disturbances, a valid knowledge of parameters of system components is essentially required. The objective of this project is to propose an applicable algorithm to identify […]

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