Development of Input and Evaluation Criteria for a Video-Based Occupational Risk Assessment Tool

Workplace injury prevalence and cost have created an immediate need for ergonomics risk assessment tools that require minimal ergonomics training, rooted in a foundation of experimental research, and provide comprehensive outputs that give some indication of risk and required action. Observation-based tools have been widely implemented in practice due to their simplicity, accessibility, and cost- […]

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Nutrition, Genetics and Athletic Performance

This project will result in the expansion of an athlete-focused genetic test to include additional genetic markers and algorithms for the purpose of personalized caffeine advice for endurance and other forms of exercise (strength, power, anaerobic-power) through continued analysis of 23 caffeine-associated genes that affect an athlete’s response to caffeine (positive, negative or no effect). […]

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Effect of Music on Interbrain Synchrony: A Close Look at Triad of Disabled Children, Parents and Music Therapist

Kids with one, two or three or more disabilities require special care and rehabilitation services. Specifically, for children with severe disabilities who are non-speaking, the opportunities for social interaction and participation are often limited. However, it is believed that these children continue to form relationships with those around them and that the brain encodes these […]

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

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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Interfacial Engineering of High Energy Density and Safe Solid-State Li Metal Batteries for Electric Vehicle Applications

Lithium-ion batteries (LIBs) have become a key player in the growing need for electric vehicles (EVs). State-of-the-art LIBs, using liquid electrolytes, still have significant challenges in their safety, lifespan, and energy density. Accordingly, solid-state lithium metal batteries (SSLBs) have recently been attracting increasing research and industrial attention due to their ability to overcome intrinsic disadvantages […]

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Temporally consistent employee group labels

Analytical applications in large organizations across even intermediate time ranges are often made complex, costly or even impractical due to temporal inconsistencies in the available data. The ever-changing nature of organizations causes categorical labels in data to change over time. This is particularly true for HR data, as the organization adjusts to changes in skillsets, […]

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Housing First as Intervention and its Economic Impact

A review of Housing First practices for housing chronically homeless residents, and their cost-saving potential for municipalities and housing organizations. Housing First treats supplying permanent housing as a priority for recovery for chronically homeless adults suffering from mental health and substance abuse issues. This has been shown to be a more effective housing and treatment […]

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AI-Based Automated Methodologies for Supply Chains: High Precision Tabular Detection and Semantic Modeling of Electronic Components from Datasheets

This project will develop a hybrid framework by integrating AI and machine learning methods with tabular information extraction and semantic modeling to improve the state-of-the-art precision and recall in tabular detection while maximizing the value of extracted information for industrial applications. Following a properly designed pre-processing stage to improve the outcomes of AI techniques, the […]

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Using Machine Learning for audio analysis and synthesize

Voices.com, the largest online marketplace for voice talent, have identified Machine Learning as an enabler for future growth. In particular, incorporating Natural Language Processing (NLP) into structured queries and automatic classification of sample recordings. The first phase of this research involving NLP is in the process of being integrated into production. The second phase will […]

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Revegetation of disturbed areas in Northern Manitoba

Revegetation of northern Manitoba ecosystems, disturbed by hydroelectric development, is critical to meet the ecological and cultural needs of the First Nation communities located in these areas. To establish a viable self-sustaining ecosystem, it is important to understand the challenges associated with reclamation in these disturbed areas. The main goal of our proposed research is […]

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