COVID-19 has required significant adaptations to the Partner Organization’s regular business operations and comes at a time when its future is less clear as the CEO seeks an exit strategy. Recommendations on both how to manage a strategic reexamination of its business functions, as well as possible exit strategies will be provided in the Capstone […]

Protein turnover is an incompletely understood aspect of biology, important for various processes including adaption to environmental stimuli. Over 500 protein complexes (E3 ligases) are involved in marking proteins for degradation, but only a small number of these E3 ligases are well characterised. The current project seeks to develop chemical inhibitors of GID4—a key component […]

While the use of “big data” in the business world and health sector is well underway, mental health services are slower to use their big data, particularly for research and decision-making purposes. Researchers have identified a need to explore the use of big data in mental health organizations, such as identifying strategies and tools to […]

While the use of “big data” in the business world and health sector is well underway, mental health services are slower to use their big data, particularly for research and decision-making purposes. Researchers have identified a need to explore the use of big data in mental health organizations, such as identifying strategies and tools to […]

The retirement home sector in Ontario is rapidly expanding, given the need for assisted living services to support an aging population, coupled with health system issues related to hallway health care and a deficit of long-term care capacity. However, there is no research on this sector to inform policies related to risk assessment, quality of […]

Graphene is considered a strategic nanomaterial for the development of clean technologies due to its unique properties. According to Allied Market Research, the global graphene market was valued at US $91.3 million in 2019, and is projected to grow to US $1.4 billion by 2027 at a compound annual growth rate (CAGR) of 40.2% from […]

One aspect of hockey science that remains elusive is the role of nutrition in performance. We propose to study the dietary intake of hockey players and also examine their nutritional knowledge with a questionnaire. We will also examine the nutritional knowledge of athletic trainers and examine the role that they play from a nutritional point […]

The rate of discovery of new, large mineral deposits has slowed, yet significant opportunity exists in many world-class belts where post-mineral cover obscures bedrock and can potentially hide world-class deposits beyond the reach of traditional geochemical tools. However, locating mineral deposits in areas of thick or transported overburden is challenging. The proposed research integrates trace-element […]

Lithium-sulfur (Li-S) batteries have been considered as one of the most promising candidates to meet the energy storage demand for electric vehicles due to their high theoretical energy density of 2600 Wh kg-1, low cost, natural abundance, environmental friendliness. State-of-the-art Li-S batteries, using liquid electrolytes, still have significant challenges in their safety and lifespan. Accordingly, […]

The main objective of this project is to a) investigate feasibility and suitability of a new proposed DC-DC converter based on a novel “Dual Input Clamp Unidir DC-DC Converter”, and b). validate and quantify its projected benefits including reduced parts count, higher efficiency, lighter weight and more reliable as compared to existing commercial products. Cost-effective, […]

Malting company waste water contains high concentrations of many valuable nutrients such as sugars and proteins. Those compounds have to be removed before discharge the waste water. The removal of those compounds costs a lot of money to the company. But we have bacterial strains which can grow in the waste water and produce hydrogen. […]

Deep neural network (DNN) is a class of machine learning algorithms which is inspired by biological neural networks. Learning with deep neural networks has enjoyed huge empirical success in recent years across a wide variety of tasks. Lately many researchers in machine learning society have become interested in the generalization mystery: why do overparameterized DNN […]