Establishment of a Pressure Ulcer Biobank from Spinal Cord Injury Patients

Pressure ulcers (PUs) are a major health problem in people with spinal cord injuries (SCIs). PUs increase hospital admissions, with 25% of SCI treatment cost linked to PU management. Currently, treatment is limited and new therapeutic options are required. Wound fluid from PUs is invaluable for researchers as it allows a detailed study of the […]

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Iterative learning control to cancel beam loading effect in particle accelerators

Iterative learning control (ILC) is an approach to improve the performance of a system that carries out the same operation repeatedly. It stores error and control output throughout every iteration, and incorporates the stored information into generating new control output. In a cavity resonator, a standing wave electromagnetic field is formed to accelerate charged particles […]

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Assessing the context of agroecological farming and enabling agroecological transitions in SC, Brazil

The industrial agri-food system is a major contributor to global environmental and social problems. One alternative with the potential to jointly address these issues is agroecology, defined as the application of ecological principles to the design of agricultural systems in a way that respects diverse local contexts. Yet farmers’ uptake of agroecological management practices has […]

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Radiomic-based deep learning for time-to-event outcome in pulmonary malignancies.

Advances in medical image scanning technologies has allowed for great improvement in medical care, from early tumor detection, to trailered treatments and predicting treatment outcome. However, this has resulted in the generation of huge medical image databases, with thousands of medical image scans per patient that need to be examined by clinicians, making it impractical […]

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Storytelling the History of Cantonese Migration through Virtual Heritage

Since the 19th century, Chinese men and women have migrated to small towns and cities throughout places such as Southeast Asia, Australia, New Zealand and North America in search of better opportunities, bringing with them many traditional cultural practices, values and customs that evolved over time and space. How did early migrants retain cultural heritage […]

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Intelligent Perception of Mining Equipment Operation using a Single Camera

In order to further enhance the productivity of mines, it is crucial to optimize mining operations. Motion Metrics Int. Corp. offers a wide range of machine vision based products to monitor mining excavators, and to generate actionable information for the mine management board. Performance of the current Motion Metrics’ products can be improved by intelligent […]

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Structure of sediments formed in tailings treatment

This project will combine filtration characterization and advanced 3D imaging and modelling of material structures to find ways to improve the recovery of process water from difficult-to-treat tailings that are the by-product of mining and mineral processing. This process is called solid-liquid separation and it is a critical area for the reduction of oil sands […]

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Decision making with rich ontologies for minerals exploration

Resource extraction, including mineral exploration and mining, is an important part of Canada’s economy. There is currently a great interest in finding the minerals that are needed for batteries; arguably the lack of minerals is the biggest impediment to cutting the price of electric vehicles and weaning society off fossil fuels. Artificial intelligence has great […]

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An order-reduced simulation framework for 3D multiscale geophysical electromagnetic problems

The goal of this research is to investigate the extension of upscaling and multiscale methods and their application to efficiently simulate (frequency-dependent and time-dependent) electromagnetic fields in geophysical scenarios that include metallic-cased boreholes and fractures filled with conductive/resistive fluids. Simulating this type of geophysical settings is quite challenging because they consider highly heterogeneous media and […]

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Automation and Evaluation of Rapid Deforestation Assessments of Small Farms

The worlds’ forests are being cleared at an alarming rate to make room for agriculture. Consequently, agricultural companies and those that finance them are increasingly required to demonstrate that the farms that they do business with were not recently deforested. Current methods for assessing deforestation involve using experts to analyze satellite images but this process […]

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Modification of Sludge Based Activated Carbon for nutrient removal in stormwater runoff through rain garden growing medium

Pollutants in stormwater runoff and municipal wastewater are grave concerns to the receiving environment of lakes and streams, as nutrients (Phosphorus (P), Nitrogen (N)) contribute to eutrophication. While rain gardens are effective to retain and retard stormwater runoff and removal of certain organic pollutants, limited studies have been conducted on nutrient capture. This research focuses […]

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