Mathematical modeling the impact of dietary macronutrients on energy metabolism in cats

North American pet food industry utilizes predictive equations such as those including modified Atwater equations to estimate energy density. However research has shown these equations tend to overestimate energy which predisposes companion animals to be in positive energy balance and obese. One method for attaining better predictive energy density models would be to quantify net […]

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L2M- Neuromod, non-invasive brain stimulation and augmented reality sensorimotor training to treat chronic musculoskeletal pain

Neuromod is a revolutionary pain treatment designed to help improve the quality of life of the ~4 million Canadians living with chronic musculoskeletal (MSK) pain. Chronic MSK pain represents a major healthcare challenge due to the severity of pain, its impact on the individual, family, and Canadian Healthcare system. Current therapies for chronic MSK pain […]

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Diagnostic Use of Non-Invasive Intelligent Wearables for Veterinary Healthcare

Wearable non-invasive devices have emerged as useful tools for tracking physiological data from companion animals. By combining this data with machine learning techniques, it is possible to proactively detect disorders and prompt owners to seek medical attention. This research aims to asses the efficacy of this approach by using wearable devices for continuous monitoring and […]

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Use of sound to affect fish movement to reduce bycatch and impingement.

Canada’s fishing and hydropower industries struggle to reduce the harming of fish not used by either industry, known as bycatch or incidental take, and are under increasing regulation to limit these impacts. Working with industrial partners the interns will test acoustic technologies to drive unwanted fish away from capture areas while preserving the desired catch […]

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Learning Legible Human-Robot Handovers

Object handovers, which involve the action of giving and receiving objects, are an integral task for human-robot collaboration. Current human-to-robot handover systems rely on learning from sampled human expert trajectory data [5]. These data are usually difficult to gather, as two humans must hand over many different objects while recording the human motion with a […]

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L2M – SilicoLabs

SilicoLabs’ software revolutionizes psychology/neuroscience research by harnessing XR to create real-world simulations. Researchers import their 3D models, video, audio, images and creating dynamic interactions between them and the participant – all without writing a single line of code! Researchers determine which variables they want to track (e.g., number of times an object is picked up) […]

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Developing Correlative Microscopy Workflows in Metallurgy

Understanding the performance of metals is related to its structure at many different length scales, from the atomic level all the way up to the macro-sized object. Being able to knit these length scales together for their chemistry, microstructure and defect structure is critical to deisgning new parts for high performance applications, sch as power […]

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Examining the current state of live-in intensive treatment programs in Ontario for pregnant and parenting transitional aged youth and their children

The Ontario Association of Young Parent Agencies (OAYPA), via Abonia Centre, requested a study to examine 1) available treatment programs available to pregnant and parenting transition aged youth (TAY) and their children, in Ontario; 2) demographics of TAY who access these programs; 3) literature on promising practices for treatment programs for TAY. This study will […]

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L2M – A handheld bioprinting platform for treating severe skin wounds

Our project focuses on developing a bioprinting technology for treating severe burns. We aim to reduce scarring and enhance skin regeneration, which can significantly improve the lives of burn victims. This technology has the potential to make a big difference in the medical field, but it’s a challenging journey, especially due to the strict regulations […]

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L2M – UTI Diagnostics Market Research

Urinary tract infections (UTIs) are one of the most common bacterial infections globally, affecting millions of people each year. The inappropriate use of antibiotics for UTIs is a significant driver of antibiotic resistance, posing a grave threat to public health. Complicated UTIs, characterized by treatment failure, recurrent infections, and increased mortality, disproportionately affect vulnerable populations, […]

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Quantum Error Correction for Photonic Quantum Computers

We appear to be at the beginning of a revolution in the development of new technologies based on quantum science. Over the past several years, Canada has become a world leader in quantum information research and in the development of these emerging quantum technologies. Quantum computers that are based on optical architectures include some of […]

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