Evaluation of biological-based source control methods for preventing constituent release from mine wastes

Mine waste rock drainage is one of the most challenging and lasting global environmental issues facing the entire mining industry, regulatory agencies and society as a whole. Mine drainage can be alkaline, neutral, moderately or extremely acidic and contains significant levels of sulfate, dissolved iron, and frequently a variety of heavy metals and metalloids. As […]

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Simultaneous Functional Calcium Imaging with Quartet® for studying odor memory circuits and developing second generation Quartet®

Episodic memory refers to an ensemble of memory processes and is the capacity to recollect where and when past events occurred, which involves subjective consciousness and a sense of time in retrieving past experiences. The hippocampus is essential for representing spatiotemporal context and establishing its association with the sensory details of daily life to form […]

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Interaction between cannabinoid drugs and sodium channels in diabetes/high glucose induced oxidative stress, neuroinflammation, and neurotoxicity – Year two

Diabetes mellitus, a common metabolic disorder, exhibits neuropathic complications that can eventually lead to disabling pain (Todorovic 2015). This is attributed to hyperglycemia/high glucose resulting in neuronal hyperexcitability (Todorovic 2015). Importantly, diabetes-evoked neuronal hyperexcitability and neurotoxicity can be caused by alterations in voltage-gated sodium channel (VGSC) expression (Hong, Morrow et al. 2004), resulting in changes […]

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Development of Artificial Intelligence Powered Technologies in Computational Pathology to Enable Automated Slide Screening in Whole Slide Imaging – Year two

Advances in Whole Slide Imaging (WSI) and Machine Learning (ML) open new opportunities to create innovative solutions in healthcare and in particular digital pathology to increase efficiencies, reduce cost and most importantly improve patient care. This project envisions the creation of new automated ML tools including the design of a custom Convolution Neural Network (CNN) […]

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“Virtually” connected: Can virtual reality technology foster closeness and intimacy in romantic relationships? – Year two

Social connections, especially satisfying romantic relationships, are vital for health and well-being. Yet, couples are spending increasingly more time apart, limiting opportunities for connection and intimacy. However, engaging in shared novel activities (i.e. self-expanding activities) can help couples connect and maintain their relationship over time. Indeed, couples who experience more self-expanding opportunities in relationships feel […]

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Brazing Metallurgies and Processes for Attaching Sintered Carbide Tiles – Year two

A two-year study on brazing technologies used for sintered tungsten carbide tiles is proposed to address the following technical objectives: 1) brazing metallurgy for sintered tungsten carbide and substrate high strength steel, 2) adherence mechanisms between different braze compositions and carbide tiles, 3) brazing parameters for optimized brazed joint performance, and 4) the mechanical stresses […]

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Evaluating the Impact of Cannabis Legalization in Canada on Risk-Taking Behaviours

The proposed research will focus on changes in cannabis use patterns and sources of supply following cannabis legalization, and on how these changes produce and/or reduce cannabis-related harm. The research will involve statistical analyses of Statistic Canada’s National Cannabis Survey (NCS). Some key areas of consideration will be: cannabis-impaired driving, cannabis dependence, and youth cannabis […]

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A participatory approach to redeveloping coach and volunteer online training modules: A Special Olympics context

“On-going coach and volunteer training are essential to providing high-quality, evidence-informed practices in sport settings. This study aims to extend Special Olympics Ontario and Special Olympics Canada’s online training platform for coaches and volunteers by working with athletes with intellectual disabilities, current Special Olympics coaches, and families of Special Olympics athletes. An iterative process will […]

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Perioperative Opioid Usage Quality Improvement [CDTS-PDF2]

Our aim is to use machine-learning to improve treatment of post-surgical pain in children and adults. Most people addicted to opioids were initially exposed through the treatment of pain from trauma and/or surgery. The opioid crisis is reaching the pediatric population, in whom effective post-surgical pain management, with less reliance on prescription of opioids, is […]

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