Can targeting substance misuse risk in university students be an effective strategy for injury prevention?

The proposed research project is a novel addition to a larger funded trial evaluating a substance misuse intervention program for university students, Univenture, that is being carried out at five universities across Canada. The postdoctoral project is experimental in nature and aimed to investigate whether the personality-targeted psychological intervention for substance misuse also results in […]

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Characterizing the Neural Network Method of Solving Differential Equations on Low-Dimensional Parametrized Problems from Biophysics

The neural network method (NNM) is a relatively new way of solving mathematical problems called partial differential equations (PDEs). PDEs are used as mathematical models for a wide range of phenomena in science, engineering, finance, and elsewhere. Recently, the NNM is receiving attention because several studies have shown that it can solve certain PDE problems […]

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Architecture of Opportunity with 3D Printing Technology

Large scale 3D printing is a promising and fast developing technology. The main advantages being the speed of execution, less labour needs, material efficiency, and design freedom. This project aims to identify the opportunities that exist in utilizing this technology for building structures with an emphasis on finding opportunities for solving current housing needs and […]

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IoT, AI and Analytics for Smart Urban Water Systems

The Advanced Data Analytics Platform for the Transformation (ADAPT) developed herein integrates quality assurance, quality control and Artificial Intelligence techniques to identify trends and relationships in water networks data. The importance of this information for fostering utility communications and business processes is demonstrated through a visualization dashboard built based on ADAPT. These tools will provide […]

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Smart disinfection in a nosocomial setting: Requirements capture and operation design.

In hospitals, surface disinfection is critical in reducing the spread of disease and the risk of nosocomial infection. In research institutions, where disinfection practices are less rigorous, fomite control is critical in keeping students, faculty and staff safe. Ultraviolet germicidal irradiation (UVC) is an effective disinfection technology that is widely used in hospitals but relies […]

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Application of Data Analytics in Industrial CFD

Due to the potential for significant cost-savings, many companies are turning their attention to digital simulations which produce an enormous amount of data. For companies to realize the benefits of having access to this data they need tools that allow efficient and accurate extraction of information from the data set. The goal of this project […]

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Visualizing how Physiology affects Tactile Audio

Wearables are starting to include advanced haptic technology, touch feedback like vibrations, to help people create and listen to music, experience virtual reality (VR) environments, and improve accessibility for people who are Deaf or hard-of-hearing. Designing haptic feedback takes advanced knowledge about physiology and neuroscience that engineers and designers may not have access to. We […]

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Biaxial technology for ultrasound therapeutic devices in preclinical research for brain disorders

Focused ultrasound (FUS) is a clinical approach that aim at non-invasive treatment of brain disorders. There are however technical barriers for its adoption, in particular for clinical applications that require selective stimulation of brain areas for therapy. This is particularly critical when validating these applications preclinically, where the size of the effect should compatible with […]

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Decentralized Services for Sharing and Searching User Generated Data

The existing model for applications and services on the internet is a centralized client server model where user information is under the control of the service provider. As such as centralized model, albeit cost-efficient and easy to maintain, has created dire consequences for humanity. Hence, for the proposed research project, we aim to provide tools […]

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Application and optimization of molecular methods as an early predictor of cannabinoid content through the growing process of select cannabis cultivars in an industrial starter plant production

This project will allow Apollogreen and Loyalist College’s Applied Research Centre (ARC) to establish expertise based on a new analytical approach of cannabinoids at an early growth stage, allowing them to analyse and select cultivars to be commercially grown based on the sought after components for specific applications of licenced producers. This analytical process uses […]

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