Synthesis and modeling of stimuli-responsive polymers for fracturing fluids use

Currently, the global warming alerts, oil prices fluctuations and clean energy have paved the way of investing in the producing wells by enhancing the recovery of hydrocarbons compared to exploration wells. Applying hydraulic fracturing from injected fluids is most common method used. These fluids create cracks in the bedrock and push the hydrocarbons to the […]

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Develop an AI-backed geospatial data collection and analysis platform as a marketable software package

The ubiquity of smartphones and their embedded technologies today can provide transportation agencies with affordable travel survey methods which place less burden on respondents and enables collection of continuous, high quality travel data. Such technologies, however, have not yet made the leap from speciality tools of academia to industry, primarily due to the specificity of […]

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Reliability evaluation of strain-based design for pipelines using probabilistic demand/capacity models. – Year two

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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The Geography of Capacity–An Analysis of Individual, Organizational and Community Needs and Resources in Three Communities in Canada – Year two

This research presents a conceptual model of the geography of capacity and explores, through a small-scale study, the experiences of capacity across the nonprofit sector at the individual, organizational and community level in three different locales in Canada. By identifying the varied nonprofit capacity needs in different socio-economic and geographic locations, and by examining how […]

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Scalable Chatbot Framework for Multi Layered Chatbots and Memory.

The general objective of this research project is to develop a new natural and empathic chatbot by integrating the transformer and intent-based systems. The goal is to implement a system for expressive 3D interactive characters that can move between the structure of an intent-based system with specific Question and Answer pairs and the more open-ended […]

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Production of Flow-Through Z-Pinches Using Advanced Methods

This project will develop a low cost prototype fusion reactor to create energy from water. We will find a better way to add the power to run it and to increase the efficiency of operation over previous versions of the machine. The interns will increase Fuse’s knowledge of the workings of the reactor and the […]

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Scale-up synthesis and commercialization of poly(3-alkyltellurophenes)

Polytellurophenes are an emerging class of semiconducting polymers showing promises in organic electronics. However, their commercial potentials are still held back by the synthetic scale. In this collaborative efforts with 1-materials, we aim to develop a synthetic strategy to produce polytellurophenes from a laboratory scale to a pilot scale to meet the increasing market demands. […]

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Understanding the performance of pulse and cereal flours of varying particle sizes at high heating temperatures using Rapid Visco Analyzer 4800

In this project, the intern (Dr. Dong-Jin Lee; Postdoctoral Fellow) will work at the University of Saskatchewan and at the R&D facility of our industry partners ? Pulse Crops (Canada) Association and PerkinElmer Health Sciences Canada Inc. ? to control the milling processes of selected Canadian pulse and cereal crops to prepare “fine”, “medium”, and […]

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Applications of tensor neural networks to financial forecasting in incomplete markets

pre-agreed price. The problem of what an option is worth is usually solved using costly numerical simulation methods. We will apply Deep Learning methods to solve the Option Pricing Problem. This cutting edge technique has the advantage that, once trained, the model can simulate many scenarios at a low computational cost. Unfortunately, training is costly […]

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Sensory Disinhibition, Cognitive Flexibility and the Neural Correlates Underlying Post-Traumatic Stress Disorder (PTSD): A Simultaneous EEG-fMRI Study

Individuals with post-traumatic stress disorder (PTSD) often struggle to relax, or simply be at ‘rest.’ In particular, recent research has revealed participants with PTSD show hyper-activity across the visual cortex while at rest. Referred to as sensory hyper-activity and disinhibition, altered resting-state patterns are thought to be underlying hypervigilance and re-living sensations clinically, as well […]

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Inclusivity in Canadian Educational System

Karine Coen-Sanchez’ research draws on unscrambling anti-racism to reinforce policies and structures in universities, schools, and in teaching methods to provide the space for Black and racialized students to integrate and increase High School Graduation and Post-Secondary Participation, and remove Barriers to Career Advancement for Marginalized Groups. Karine Coen-Sanchez’ research goal is to narrow the […]

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Engineered Polymers for Nucleic Acid Therapies

Nucleic acids such as DNA and RNA offer exceptional opportunities to fight against infectious and genetic diseases. To use nucleic acids effectively in a clinical setting, one needs to use effective delivery vehicles that can deliver the nucleic acids into the diseased cells. This project will develop effective delivery systems for this purpose. The delivery […]

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