Evaluating the protective effects of electrical muscle stimulation with and without blood flow restriction during periods of short-term inactivity

Physical inactivity is associated with impaired removal of sugar from the blood after a meal, or insulin-resistance and a reduced muscle mass and fitness. While exercise is well-established to prevent these impairments, it may not be feasible in some clinical conditions. Therefore, passive interventions that mimick the stressors and elicit the benefits of exercise may […]

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Advancing Youth Leadership in Indigenous-Led Natural Climate Solutions in the Missinaibi Forest

When Indigenous rights and leadership are prioritized, Natural Climate Solutions (NCS) like forest carbon management present an opportunity to advance reconciliation while combatting climate change and biodiversity loss. Wahkohtowin Development GP Inc. is taking steps to drive NCS in the Missinaibi Forest toward Indigenous-led climate action and social-ecological benefits for its owner First Nations (the […]

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KnowMeQ Recommender and Bias Reduction Project

KnowMeQ Inc, a future of work online skills assessment is working with the University of Guelph to establish a candidate recommender tool which reduces bias. This is the first phase of deliverables of the relationship, wherein the groups are building towards an ethical AI algorithm and an Adaptability Quotient (AQ) composite measure.

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Regulation of granulosa cell autophagy and estradiol production by microRNA in the pig ovary

Fertility improvement is important in both human being and livestock industry. Increasing the oocyte competence is one of the most critical measures for fertility improvement. miRNAs are small non-coding RNAs which can regulate the estrogen production in the ovarian follicles which in turn affecting the oocyte development and competence. However, its underlying mechanism remains unknown. […]

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Realistic Synthetic Dataset Generator

The goal of the project is to assess the viability of current synthetic data generation systems. If the generated synthetic data is accurate enough without providing sensitive details it can be used to train machine learning models without needing to share sensitive information. The particular application of this project is to computer logs which can […]

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Advances to business and sport management professionals’ ethical decision making: A practical approach in collaboration with CCES

In collaboration with the CCES we will develop a practical approach to training business and sports ethics—one that enhances students, professionals, and sports participants and leaders’ ability to navigate “how to resolve ethical dilemmas” to minimize social and environmental damage and maintain the integrity of sport. This project aligns with one of the strategic pillars […]

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An Extended Reality Social-Emotional Development Companion Agent Framework and Parental Support for Children

Parenting is challenged by the pace of change in information technology, impacting child development and parent-child relationships. Children learn and grow in online environments and their development, perspectives and understanding of the world are impacted by multiple communities, which creates risks to safety, relationships and experiences. Supporting technologies will help bridge this gap, intervening with […]

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