Applying Machine Learning to Develop Meaningful Rail Condition Indices

Rail transit and freight rail properties apply rail grinding to maintain rail condition and ensure satisfactory performance of rail infrastructure systems. The proposed research investigates and applies a variety of computationally intelligent algorithms to establish useful relationships between rail corrugation, noise generation, and vibration. These relationships will support more timely and effective rail grinding interventions. […]

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Spatial and Temporal Patterns of Habitat use of Green Anaconda (Eunectes murinus) in Amazonian Streams Using Remotely Sensed Imaging and Radio Telemetry

This project will be studying the relationship of Green Anacondas with their surroundings by describing the ways Anacondas use their habitats and how these behaviours change throughout the year. We will be using a technology called “radio telemetry” to follow Anacondas in order to observe them and collect information. Drone and Satellite imagery will be […]

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Synthesis and characterization of a new generation of bone targeting anabolic prodrugs

Prostaglandin E2 stimulates bone formation in vivo and exerts its effects through the EP4 receptor. Unfortunately prostaglandin E2 and agonists for the EP4 receptor also cause unacceptable systemic side effects which have limited their clinical use as anabolic agents. We developed novel bone-targeting prodrugs that can deliver EP4 agonists selectively to bone and liberate active […]

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Reliability evaluation of strain-based design for pipelines using probabilistic demand/capacity models

Ground movement can impose excessive deformation violating pertinent pipeline limit states. Currently, the integrity assessment of pipelines subjected to soil movement is generally performed by analyzing the stresses and/or strains in pipelines using various engineering techniques, including finite element analysis (FEA). However, given the wide variability of the pipe and soil engineering properties, using deterministic […]

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Next generation cannabinoids for pain, inflammatory response, and cancer – Utilizing allosteric pathways in GPCRs to achieve greater specificity and bias

The recent legalization of cannabis in Canada offers a unique opportunity to conduct fundamental research without the bureaucracy issues faced in other countries. The current state of cannabinoid (CB) based therapies have focused their use in the treatment of cancer, pain, inflammation and opioid addiction, and suffer from unwanted side effects and lack of efficacy. […]

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Changes in the impact attenuation performance of field-used hockey helmets over time

A hockey helmet should be capable of protecting the user over the helmet’s intended life span. There is currently little evidence quantifying the changes in the impact attenuation performance of field-used hockey helmets over time. This study will collect a large sample of field-used hockey helmets from the hockey community for impact testing. The sample […]

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Development and evaluation of the OptiSolve Pathfinder optical assay for viral particle detection on surfaces in environmental monitoring

OptiSolve Pathfinder is a diagnostic tool that allows the easy identification of contamination on surfaces through imaging. Although viral and bacterial organisms are always a threat, during the current COVID-19 pandemic, the ability to easily identify and quantify viruses is of primary importance. The Pathfinder solution developed by OptiSolve will significantly improve quality of care, […]

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Development of an assay for personalized synergistic blockade immunotherapy treatment of COVD-19 patients using CytoFind™

The current COVID-19 pandemic has posed many challenges to healthcare professionals as they deal with managing the primary disease and it many complications. The proposal aims to develop, test, and validate an assay to detect quickly immune checkpoint targets in T cells in peripheral blood with high specificity and sensitivity using a diagnostic device, CytoFind, […]

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Towards developing inhibitors to treat CoVID-19

The SARS-CoV-2 outbreak, which started in Dec. 2019, has so far not been contained due to unpreparedness and unsuccessful development of antiviral drugs against SARS-CoV-2. In response to this pandemic, we propose strategies for the development of novel antiviral agents against a number of known viral targets using in-silico modeling and laboratory testing to rapidly […]

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