The Effect of Degenerative Spine Disease on Neuromuscular Pain and Function

Despite its growing prevalence of chronic musculoskeletal disease in society, its cause is still poorly understood. Emerging research suggests that degenerative spine disease may be an important facilitator to the development of chronic inflammatory musculoskeletal disease. We aim to investigate the effect of degenerative spine disease on muscle inflammation, pain and dysfunction by using an […]

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Development and Application of Marine Mammal Density Estimation Methods for Directional and Omnidirectional Hydrophones

Estimates of the population density of marine mammals in an area and the change in population over space and time are critical inputs for managing the interactions of human activity and mammal populations. Visual surveys from boats, shore stations, and aircraft have served as the basis for most population estimates currently used by managers. However, […]

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Molecular characterization, autogenous vaccine manufacturing and vaccine potency studies of two pathogenic Avian Reovirus (ARV) field isolates from the Province of Alberta – Part 2

Avian Reovirus (ARV) is an economically important virus that is affecting poultry flocks in Alberta. Birds infected with pathogenic ARV may develop a disease named viral arthritis/tenosynovitis which is characterised by lameness, swollen joints, rupture of tendons and increase mortality. The disease is controlled by parent stock vaccination with live and/or inactivated antigen to provide […]

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Plateforme de démonstration, de développement et d’essais de dispositifs sécuritaires de pêche au homard

Chaque saison de pêche, les pêcheurs de homard prennent la mer à bord de leur bateau pour installer les lignes de casiers afin de récolter ce produit marin. Le travail s’effectue sur une surface glissante, mouvante et encombrée de cordages, souvent dans des conditions difficiles. Les chutes par-dessus bord, dues à l’enchevêtrement dans les engins […]

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Modeling Default Risk for a Small Lender using Machine Learning

Individuals with limited or poor credit history are often unable to access credit from traditional sources such as banks. While some alternative lenders will provide credit to such individuals, these lenders typically lack reliable sources of information which can be used to accurately assess the risk that the loans they make will not be repaid, […]

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Thermally Stable Bonding Materials for Flexible Displays

As technology continues to make smaller and more flexible devices possible manufacturers of these devices need ways to hold them together. Normal methods of bonding two thin pieces of metal together no longer meet all the depends placed on them by the relatively small size of the devices. In order to meet this challenge this […]

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Research on HTML5 security and solution

The web browser is arguably the most security-critical component in our information infrastructure. Banking, social networking, shopping, navigation, and card payments – almost any activity you can imagine now takes place within a browser window. HTML5 is a potential candidate for changing our experience on the web and its sale on devices is forecasted to […]

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Predictive tools for membrane durability in fuel cell applications

Fuel cells are a clean energy technology that generates electricity without harmful emissions and uses hydrogen as the fuel in place of oil. As fuel cell electric vehicles are deployed globally on a significant scale, it is critical to ensure high levels of operational durability and reliability, equal to or exceeding that of incumbent engine […]

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Evaluating the Impact of Robotics Education on Young Children’s Cognitive Development and Self-efficacy

Our project will be the first research in Canada that draws the techniques and resources from four disciplines – education, psychology, psychometrics and computer science – to investigate the effects of robotics education (RE) on child cognitive development, self-efficacy and enjoyment. Hence, our research findings will help Robokids School to understand the long-term effects of […]

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Integration of Machine Learning with Distributed Temperature and Acoustic Sensing to Build Data-Driven Dynamic Reservoir Model

This project will develop practical workflows, algorithms and programming codes for inferring unknown reservoir properties from distributed temperature and acoustic sensing data. In-situ pressure and flow conditions can be interpreted from downhole fiber signals gathered in real time, which are used to estimate unknown heterogeneous reservoir parameters continuously. Machine learning methods will be incorporated to […]

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