Floating Wetland Treatments to Enhance Remediation (FLOWTER) Project

The IISD-Experimental Lakes Area is currently examining the effectiveness of minimally invasive shoreline methods for cleaning spilled oil. Non-invasive methods are needed to eliminate disturbance to sensitive riparian areas that occur with typical cleanup operations. Non-invasive methods protect sensitive shoreline habitats by minimizing physical contact and they can also speed oil removal after a spill […]

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Cognitive and Computationally Intelligent Algorithms for the Detection of Cyber Threats

The rapid and widespread advancement of cyber-threats within the past few years has had a profound impact on virtually everyone, from ordinary people to governments to local organizations. This has caused cyber-security to be considered a global challenge, which is now requiring innovative solutions, such as incorporating human cognition based methods into the software algorithms […]

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Modeling and simulation methods for assessing casino player behaviour

The goal of this research is to use data from casino player tracking systems to build a model for how players move around on a casino slot floor. We will use this model to perform simulations of this same movement. Segmentation of players into groups of similar value and/or characteristics will help to reduce the […]

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The Canadian Association for Graduate Studies Task Force on Truth and Reconciliation Calls to Action and Graduate Education

The Canadian Association for Graduate Studies (CAGS) has created aTask Force on Truth and Reconciliation Calls to Action and Graduate Education (Reconciliation Task Force). This Reconciliation Task Force will examine the implications for graduate education in relation to the Truth and Reconciliation Commission of Canada’s (TRC) Calls to Action, to reflect on the role of […]

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Development and validation of a pipeline for a clinical Next-Generation Sequencing (NGS) test for detection of a rare genetic sterol disorder influencing low-density lipoprotein cholesterol (LDL-C) concentrations

Next-generation sequencing (NGS) panels are gaining popularity thanks to the high-throughput capability of sequencing technology and low cost per sample. In this study, we aim to validate the performance of a NGS panel for detection of a rare genetic sterol disorder, and to assess the utility of a prediction model to identify a combination of […]

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Improvement of an all-on-chip assay for studying cell migration

Cell migration assays (CMA) are fundamental cellular functional tests that are routinely performed in many areas of cell research such as tissue development, wound healing, cancer metastasis and immune response. We have developed a prototype microfluidic all-on-chip CMA that allows rapid immune cell migration assay tested directly from one drop of whole blood. This chip […]

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Assessing the impact of an immersive VR gaming experience on navigation ability and spatial cognition in an elderly population

This project will investigate whether playing an immersive virtual reality (VR) game called DoVille is beneficial to older adults’ memory and navigation abilities. Spatial navigation is a fundamental skill that relies on our ability to make an accurate mental map of the space around us, be aware of our position in the environment, and remember […]

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Sub Synchronous Oscillations in Power Systems

With increased levels of series compensation of transmission lines (Which is the most economical solution for bulk power transmission over long distances) and with more power electronic controllers such as HVDC, FACTS and converter based distributed generation in the power network, Sub Synchronous Interaction (SSI) problems arise. It is necessary to identify different types of […]

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Automated Land Use and Land Cover (LULC) Classification for Hydrological Modelling and Physically-Based Inflow Forecasting

The problem considered in this work is how to produce highly accurate and consistent land-use/land-cover (LULC) maps significantly faster than current semi?automated methods for use by Manitoba Hydro. The goal is to improve the ability to produce maps quickly and efficiently as priority needs arise. This project will use an approach for automated LULC mapping […]

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