Mechanism of action of novel anti-Helicobacter pylori agents from lactic acid bacteria secretions

Helicobacter pylori (HP) colonizes chronically ~50% of the world’s population, causing gastric tissue inflammation and gastric ulcers or cancers. Lactic Acid Bacteria (LAB) have probiotic effects against HP, meaning that they help alleviate symptoms. We found that 5 LAB provided by partner Lallemand Health Solutions (LHS) produce and release molecules that inhibit the growth of […]

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Mobilizing infrastructures and assets for sustainable tourism in UNESCO’s Frontenac Arch Biosphere Reserve

The Frontenac Arch Biosphere (FAB) is a geographic region in southeastern Ontario comprised of unique natural areas, farmland, and rural communities, with a mandate for supporting sustainability. The region and its inhabitants are thus well-positioned to contribute to sustainable tourism, though this potential has not yet been fully realized. In partnership with the Frontenac Arch […]

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Intergenerational Impacts of Transport Poverty in Canada

The aim of this project is to assess the long-term impacts of transport poverty in Canada using mixed methods approach. Transport poverty is the combined effect of transport disadvantage (including but not limited to inadequate public transport options, poor public transport accessibility, not owning or having access to car, perception of safety) and various socio- […]

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Quantifying gas phase chlorine compounds in sewer system headspaces

The presence of chlorine-bearing compounds in sewer headspaces is a potential risk to personnel and can cause decay of valuable infrastructure through increased rates of corrosion. There is however little information available on their speciation and concentration in these systems as standard methods for sampling them from sewer headspaces do not exist. In addition, the […]

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Exploring Trauma- and Violence-Informed Physical Activity Approaches: Refugee Women’s Perspectives

This proposed research aims to understand the barriers to mental health and physical activity supports for self-identified refugee women, from both youth and older populations, who have experienced trauma and/or violence. Limited access to adequate mental and physical health services for refugee women has led to underdiagnosis of mental illness amongst refugee women and the […]

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A DevOps framework for developing, operating, and evolving SDN infrastructure and applications

Software-defined networking (SDN) leverages software to virtualize networking resources and make them more customizable and versatile. SDN is at the core of many ground-breaking advances and a key enabler for major technologies (e.g., 5G, IoT, Industry 4.0, and Smart Cities) that promise to have far-reaching economic and societal impact. To maximize SDN benefits, DevOps, an […]

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Ideation and Go-to-Market Research for Relationship App

WooYourBoo is a startup based in Brampton, On. We launched in June 2020. We are a business that focuses on helping couples strengthen their relationship. Currently, we’ve built and launched an app that allows couples to discover their Love Language. After the app learns this information it suggests date ideas and things couples can do […]

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Dreamcatcher Informatics: a Web-based and Mobile Information System to Support Land Management, Consultation, and the Preservation of History, Culture and Traditional Ecological Knowledge

The two goals of this project are to: 1. create a demonstration information system based on an existing system called Dreamcatcher for consultation, land-use, occupancy, and planning based on the archival material of the Mississaugas of the New Credit First Nation (MNCFN); and 2. use this system and First Story to preserve and promote Aboriginal […]

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Public Engagement and Research on Lake Simcoe area Official Plans

The Rescue Lake Simcoe Coalition wants to be more effective at engaging both at the individual level and the municipal government level around urban sprawl. The intern will bring capacity and develop tools and insights to do this more effectively via a concentrated project in the lead up to the municipal election.

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Hybrid quantum-classical multiple kernel methods for machine learning

Quantum computers are well-suited to a subset of machine learning tasks known as supervised learning (SL). In SL, a model is trained on labelled data to generate correct labels for novel data thereafter. Robust classifiers can be achieved in SL by using the “kernel trick”, which provides a more expressive metric from a transformed point […]

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