Subspace Hierarchies for Musculoskeletal Control

Musculoskeletal systems are responsible for the rich and diverse ranges of motion and behaviors exhibited by all sorts of animals, including humans. Recreating these motions is key for applications in medical simulation, robotics, and virtual reality. Unfortunately, modeling even simple control tasks such as grasping or locomotion with such musculoskeletal systems is extremely difficult. The […]

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A wireless headset for power-aware EEG/non-EEG signals processing and seizure warning – Year two

Epilepsy is a debilitating neurological disorder affecting approximately 50 million people worldwide (World Health Organization). This project proposes to develop a SMART (Seizure Monitoring At the Right Time) Headset for these patients to monitor their brain signal and track their movements, heart rates and breathing patterns. This headset will have new types of sensors suitable […]

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Guiding delisting decisions in the Great Lakes area: Development of a Bayesian risk assessment methodology

The Bay of Quinte, a Z-shaped embayment at the northeastern end of Lake Ontario, represents a characteristic case, where scientific uncertainty underlies the current management efforts to integrate environmental concerns with socioeconomic values. The proposed project aims to develop a methodological tool that can be easily engaged with the policy practice of adaptive management and […]

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Guiding delisting decisions in the Great Lakes area: Development of a Bayesian network modeling framework for predicting eutrophication in the Bay of Quinte – Year 2

The Bay of Quinte, a Z-shaped embayment at the northeastern end of Lake Ontario, represents a characteristic case, where scientific uncertainty underlies the current management efforts to integrate environmental concerns with socioeconomic values. The proposed project aims to develop a methodological tool that can be easily engaged with the policy practice of adaptive management and […]

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Lexical Development in Multilingual Immigrant Children: Cognitive and Sociocultural Influences on English Vocabulary Acquisition

This project explores how multilingual immigrant children aged 8–13 in Canadian ESL support programs acquire English vocabulary during their early years of settlement. Vocabulary development is crucial for academic success, yet many newcomer children face barriers that go beyond language exposure alone. The research investigates how cognitive factors, such as working memory and phonological processing, […]

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Acoustic Feature Extraction and Sparse Representation of Neck Fluid Volume (NFV) in Patients with Obstructive Sleep Apnea (OSA)

Obstructive sleep apnea (OSA) is common in 10% of adults and is associated with increased cardiovascular morbidity and mortality. Furthermore, there is a 3-fold increase in OSA prevalence in fluid retaining patients such as those with heart failure. Evolving evidence suggests that fluid accumulation in the neck could narrow the upper airway (UA), increase its […]

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Composite and foam profiles for building and construction industry: modification of the products and existing extrusion processes

Vision Extrusions Group LTD is a recognized leader in the building products industry. They produce a wide range of products (as shown in Figure 1) including windows, doors, decks, fences, etc. utilizing extruded polymeric profiles as a substitute for wood. In the proposed project, the following objectives have been set by the partner organization to […]

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A wireless headset for power-aware EEG/non-EEG signals processing and seizure warning

Epilepsy is a debilitating neurological disorder affecting approximately 50 million people worldwide (World Health Organization). This project proposes to develop a SMART (Seizure Monitoring At the Right Time) Headset for these patients to monitor their brain signal and track their movements, heart rates and breathing patterns. This headset will have new types of sensors suitable […]

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Scalable Quantum-Enhanced Generative Models for Drug Discovery: Extending QCBM with NQS and CUDA Quantum for Multi-target Inhibitor Design

This project proposes a scalable quantum-enhanced generative model for drug discovery, targeting the design of KRAS inhibitors through the integration of Neural Quantum States (NQS), Quantum Circuit Born Machines (QCBMs), and CUDA Quantum acceleration. By replacing traditional quantum circuits with adaptive NQS representations and extending QCBM capacity to 32 qubits, the framework enables more expressive […]

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Host-pathogen interaction between a three-dimensional tissue model with a binary cell system and dual species biofilm Under Normoglycemic and Diabetic Conditions

Apical periodontitis is a disease caused by the persistence of microorganisms and their virulence factors in the root canal system. This infection leads to inflammation of the soft tissues and changes in the periapical bone structure. Bacteria such as Fusobacterium nucleatum and Parvimonas micra form biofilms that are resistant to conventional cleaning, making treatment more […]

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L2M – Developing Machine Learning Models to Accelerate our In-Vivo Creatinine and Potassium Biosensor Development

Many people with heart failure are not prescribed the full set of guideline-directed medical therapies (GDMT), which can shorten their lifespan and reduce quality of life. One major reason is the difficulty and inconvenience of regularly checking potassium and creatinine levels, which are needed to safely adjust these medications. To address this, we are developing […]

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L2M – Advancing the Commercial Potential of a Novel Simulation Tool for Thoracic Surgery Training

This project will support the commercialization of a new medical training tool designed to help doctors learn how to perform technically complex procedures for cancer staging and diagnosis. The partner organization, University Health Network, has developed a realistic 3D-printed simulation model that enables trainees to safely practice this procedure outside the operating room. Unlike current […]

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