Stress-Activated MicroRNAs by Biomechanical Assay for Diagnosing and Prognosing Adolescent Idiopathic Scoliosis

Cette étude vise à développer et valider un panel de petites molécules circulantes d’acide ribonucléique (ARN) non codantes appelées microARN (miRNAs) qui peuvent être utilisées pour prédire le risque de développer une scoliose sévère chez les enfants symptomatiques le plus tôt possible. Cela permettrait, une fois commercialisé, d’identifier les enfants à risque de développer une […]

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Privacy in Machine Learning Systems with Data/Model Sharing via Information Theoretic Analysis

Privacy and Security are key considerations in any machine learning system. The proposed research will develop net methods for preserving privacy when training data and/or model parameters are released in the public domain. We will use methods from information theory to develop quantitative measures for privacy and security in machine learning systems. Using this framework […]

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Procedural Character Animation for Heavy Equipment Training Simulation

The proposed research project will improve CM Labs’ operator training simulators with animated human characters that interact and respond to the underlying physical simulation. This will relay important dynamical cues to the trainee about the safety and correctness of the procedures. Furthermore, the developed animation controllers will allow objects to be manipulated in a realistic […]

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The Investigation of a Low Temperature Co-Fired Ceramic (LTCC) Fabrication Process for the Design of Advanced Millimeter-Wave Components for 5G Communication Technology

The main objective of this project is to design and test millimeter-wave RF front end components for applications in 5G new radio communication systems utilizing the thin-film multilayer LTCC fabrication process developed at ACAMP. With these fabricated and characterized prototypes, ACAMP will be able to showcase its specialized LTCC fabrication process and provide support to […]

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Upgrading of heavy and high heteroatoms containing Hydrofaction™ Oil, to fuel blendstocks via Hydroprocessing and in-situ hydrogen production

The Project’s objective is to continue with development and optimization of the promising HTL biocrude upgrading approach that has been executed during the previous MITACS Converge/Accelerated project. The activities are going to be focus on in-situ hydrogen production to limit external cost of hydrogen and process optimization for the obtention of Jet and Marine fuel […]

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Preparatory research to enable the implementation of a multi-site research project: Getting it right – Pharmacist-led pharmacogenetic testing in community pharmacies

Making sure patients have well controlled post-operative pain is imperative for patient well-being, optimal recovery, and to prevent chronic pain from developing. Opioid medications are often used to treat post-surgical pain, but some people respond in unpredictable ways and this may be related to their genetics. Pharmacogenetic (PGx) testing is a way of finding out […]

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Vers une redéfinition de l’agenda de négociation à l’OMC ?

Alors que les attentes étaient grandes, la Conférence ministérielle de Buenos Aires de l’OMC s’est conclue sans même que soit adoptée une Déclaration ministérielle commune, entraînant ainsi de vifs débats sur la fonction de négociation de l’Organisation mondiale du commerce. La précédente conférence ministérielle tenue en 2015 s’était conclue sur une absence de consensus quant […]

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Development of Strategy and Implementation Plan to Introduce AI based RainGrid’s Disruptive Digital Stormwater Smartgrid Technology in North American Markets in an era of Global Climate Change

The goal of this project is to develop a detailed strategic analysis and market/finance/commercialization strategy identifying gaps/barriers, opportunities/resources and benefits of developing the Ai/IoT digital “Stormwater Smartgrid” technology and its concomitant implementation business model for North American market. This research project in collaboration with McMaster University will help RainGrid to facilitate the commercialization of the […]

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Siemens next generation land-based gas turbine engine combustors: Characterization and development of a newly-designed injection system

.Siemens Canada develops land-based gas turbine engines that are used for power generation. These engines burn natural gas and produce combustion pollutants such as carbon monoxide and nitrogen oxides. Reducing emission of these pollutants addition of low carbon fuel, such as hydrogen, to natural gas. However, addition of hydrogen leads to occurrence of combustion instabilities […]

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Data-driven Assessment of Suicide Risk for Treatment Seeking Population

As part of this proposal the intern will be working with DME to develop and examine the viability of data-driven point-of-care system for the assessment of suicide risk. DME is a Canadian start-up company in the business of developing cloud-based point-of-care monitoring systems for the management of psychiatric illnesses. DME has developed algorithms to diagnose […]

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Advancing Community Energy Transitions in BC with Online Tools

The Community Energy Explorer (CEE) is a unique, interactive and visually compelling web-resource to build capacity of citizens, decision-makers, and local government staff on community energy and related land use issues. The current phase lays out a program to roll-out, host, and scale-up use of an enhanced CEE platform to better support community transitions and […]

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