AI Techniques to Explore the Relationship Between Structural and Function Brain Connectivities

It is not fully understood how structural brain connectivities give rise to functional brain connectivities. The objective of this project is to apply Deep Learning and Machine Learning techniques to explore the complex relationship between structural and functional brain connectivities and accurately describe this important structure-function relationship. A linear brain dynamic network model will be […]

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Production of 9%Cr-Al-Zr ODS Steels

The goal of the project is to produce sample sets of oxide-dispersion strengthened steels, with varying compositions, using advanced manufacturing equipment and techniques. These ODS steels differ from traditional ferrous alloys as they contain nano-sized oxide particles that are dispersed throughout the body of the steel. These dispersions help strengthen the steel as they are […]

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A Critical Transition in the Common Core: Analyzing Networks for Mathematics Implementation

Since the U.S. Common Core State Standards for Mathematics were introduced in 2010, states have been grappling with the implementation of revised mathematics instruction. Implementation challenges have meant fewer students are adequately prepared for the elementary to middle school transition. Educators’ professional learning networks (PLNs) may be effective in addressing this issue, yet minimal research […]

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The Expression of Depressive Symptoms Across Cultures

Depression is a debilitating mental disorder that affects people across many cultures. However, people from different cultures may display their depressive symptoms in different ways. For example, depressed people from one culture may display their symptoms through the inability to think or concentrate. People from another culture may show their depression through poor physical health […]

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Synthesis of Nanostructured Mesoporous Nickel Materials for Energy Storage Applications

With the advent of fuel cell technology, people began to believe implementation of a zero-emission energy system through the construction of a hydrogen-based energy infrastructure. The conventional system for hydrogen production is water electrolysis; however, the production cost is far too expensive for widespread adoption due to the usage of noble metals required as electrocatalysts. […]

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Development of a biosensor for high-throughput screening of novel ezrin inhibitors for treatment of metastatic breast cancer.

Treatment of metastatic breast cancer is often unsuccessful and lead to 5000 deaths in Canada each year. Therefore, there is an unmet need for new drugs for prevention and/or treatment of metastatic disease. Ezrin is a protein marker commonly over-expressed in metastatic breast cancer. Preclinical studies show that blocking ezrin can significantly reduce metastasis in […]

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Preparation of Mesoporous Oxides for Electrochemical Applications

Electrochemical technologies, such as fuel cells and electrolysers, could play an important role in the attempt to diversify the energy market. These devices can be used to produce clean, renewable energy and fuels. However, the technology cost is still far too high, preventing their large-scale implementation. A significant portion of the production cost comes from […]

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Atmospheric Copper Leaching in Oxygen Supersaturated Solutions: Evaluating the Application of Ultrasonic Oxygen Solubilization in Copper Leaching

The project has been defined to address the growing concerns of the mining industry towards sustainable copper production with low cost and environmentally friendly process option. The current processes for copper extraction are either expensive or have detrimental impact on the environment. This proposed project pertains to the development of a technology that applied green […]

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