Comparing the risk of adverse events across different classes of biologics and comparable safety and efficacy of biosimilars versus originator biologics in inflammatory arthritis

Our proposed research project aims to answer the overall question: what is the actual risk of infections or cardiovascular events for patients with inflammatory arthritis that take novel arthritis medication (biologics) and how does it compare between different classes of these drugs, in real-world settings? As well as asking if the safety and effectiveness of […]

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Sustainability benefits of expanded gamut printing

Expanded gamut printing is a relatively new technology that allows print companies to move away from spot colours and needing an inventory of these colours on hand or ordering them from their ink supplier every time a print job requires a spot colour. With expanded gamut printing the same seven colours remain in the printing […]

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5G-TSN/DetNet Integration for Industrial Automation

The 4th industrial revolution, Industry 4.0, aims for flexible production via automated robots. Central to this is the integration of the 5G System (5GS) with deterministic, low latency, wireline data communication. Foundational technologies include IEEE 802.1 Time Sensitive Networking (TSN) and IETF Deterministic Networking (DetNet), which, when combined with 5G, enhance industrial automation. The synergy […]

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Cyber SOC Enhancement: Elevating Recurring Ticket Investigations and Client-Centric KPIs

In the modern era of increased digital and online operations, Security Operation Centers (SOCs) serve as frontline warriors, diligently monitoring and responding to a myriad of cyber security incidents. The SOC team at the project partner’s organization routinely investigates and responds to similar security incidents faced by clients. This project focuses on improving the quality […]

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Software development for remaining useful life prediction of bearings

Bearings are crucial components in various industries, such as power generation, aerospace, and oil and gas. Predicting a bearing’s Remaining Useful Life (RUL) is essential for Condition-Based Maintenance. To achieve accurate RUL predictions, an accurate Health Indicator (HI) that represents degradation patterns is necessary. However, existing HIs can be affected by time varying working conditions […]

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Towards an Operational Analytical Framework for Planning On-Demand Transit Services and a Case Study of MiWay

The proposed project aims to demonstrate the application of an analytical framework, developed by the team at the University of Toronto, to plan on-demand transit services in Mississauga. The analytical framework will be enhanced with an in-depth investigation of existing simulation tools with respect to their adequacy for modelling various ODT scenarios and operational designs. […]

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Decoding Mental States using Contrastive Learning to Overcome Inter-individual Variability in Physiological Signals

OrbMedic, an Ottawa-based company, is developing the OrbMedic ADPT system, an advanced technological solution designed to detect and address early indicators of mental health challenges by analyzing physiological signals such as heart rate and skin conductance. Recognizing that individual physiological responses can vary widely, this research project seeks to refine the OrbMedic ADPT’s analytical capabilities […]

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Intelligent cyber-threat awareness system for 5G networks

5G is the latest and fastest wireless internet technology that is not only being used by phone companies, but also in businesses, factories, and the military. As 5G is being used in more places and for different purposes, it gets more complicated and faces more security risks. Imagine many different gadgets, from phones to cars […]

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Entrepreneurial Reconciliation

This research utilizes the community as the learning environment and embeds the strengths and gifts of its members to foster entrepreneurial growth. The research aims to show that learning is everyone’s responsibility and when done from as asset-based approach can benefit entire communities. Students work with community members to bring ideas and business to communities […]

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Favorable propagation studies for massive MIMO systems

Favorable propagation studies for massive MIMO systems: mMIMO is a key technology for 5G and beyond, due to its ability to deliver high spectral efficiency/rate in multi-user environments using simplified (linear) processing. Its advantages can be fully exploited under certain conditions known compactly as “favorable propagation” (FP). Unlike the known methods, which rely on sophisticated […]

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The effect of bovine colostrum supplementation on fitness, muscle mass, inflammation and immune function during intense training in rugby players

Bovine colostrum is the milk produced by cows immediately after calving. It contains high levels of proteins that improve immune protection and may act to prevent colds. During intense training, athletes often have compromised immune function. This may be especially true in club-level rugby players who abruptly start high intensity training in the spring in […]

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Decreasing the Energy Performance Gap and Thermal Loads in Residential Dwellings Using Machine Learning and Building Energy Modeling

The energy demand of the residential sector in Canada represents 12% of the total energy use. About 64% of such demand is assigned to space heating requirements. Adoption of energy-efficient systems is usually driven by long-term savings. Many passive energy reduction measures haven’t been implemented due to the decreasing credibility of simulation software which lacks […]

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