Spatial and temporal trends in nesting habitat use and availability for cavity nesting waterfowl in the lower Saint John River floodplain

Cavity-nesting ducks, including the wood duck, common goldeneye, and hooded merganser, are of interest in wildlife management programs due to their value to hunters and conservation groups. The lower Saint John River floodplain (New Brunswick, Canada) is a major breeding region for these species in Atlantic Canada that has experienced significant changes in recent decades. […]

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Equivariant Siamese Neural Networks

The world we live in is ripe with symmetry. From the bilateral symmetry we see in humans to the symmetries which are used to describe fundamental particles in physics. Most modern machine learning methods however do not have an inherent modeling of symmetry in them. By developing algorithms which do have an explicit modeling of […]

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High Power Density DC-DC Converter for Electric Vehicle Fast Charging Stations

Limited driving range coupled with limited availability of fast charging facilities is a major obstacle for electric vehicle (EV) adoption. As battery technology improves for EVs to have fast charging capabilities, the demand for EV fast charging facilities is also increasing. However, fast charging stations do impose challenges to the electricity grid due to high […]

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Shipping Noise Characterization in Shallow Water Environment

Underwater acoustic propagation modeling was largely advanced by the world’s Navies from WWII until the early 2000’s. Growing evidence of the effects of sounds from human activities on marine life has made propagation modeling relevant to a much broader community including marine biologists, ecologists, regulators and environmental non-governmental organizations. In this project we aim to […]

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Selective Ablation of Circulating Tumor Cells by Dynamic Photothermal Therapy

Cancer metastasis is responsible for 90% of cancer deaths. In metastasis, a group of cancer cells detach from the tumor, entre the blood stream and ultimately make new colonies in other organs. In this study we aim to develop a new technology to target these cancerous cells in the blood circulation with laser irradiation. We […]

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Digital Youth Engagement Strategy Using a Critical Pedagogy of Place-based Perspective

The Atlantic Publisher’s Digital Youth Engagement Strategy (APDYES) is a partnership of Atlantic Canadian publishers, designed to digitally expand the reading experience of today’s “digital natives,” or youth. The strategy requires the research on a diverse Atlantic Canadian youth public to support the discoverability of Atlantic Canadian authors and other creative book content contributors in […]

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CFD methodology for analysis of multiphase flow process

Oil that has passed through the bearings and gearboxes of aircraft engines is recycled by a specialized oil scavenging system that separates droplets dispersed from the shaft from air and particulate matter. This process helps to mitigate the emissions of aircraft engines, greatly improves oil consumption and Improves working life by improving the cooling capabilities […]

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Diagenetic history porosity evolution of the sandstones and carbonates around the Labrador?Port au Port Group boundary, Belle Isle, Western Newfoundland

The proposed project investigates the diagenesis of the lowermost Port au Port carbonates in Western Newfoundland. Few earlier studies suggested that the carbonates vary from lime mudstones of low energy to grainstones and rudstones of high energy shallow-shelf settings. The study will allow the reconstruction of full diagenetic history of the basin and factors that […]

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Identifying and validating rational combinatorial therapies for treatment-refractory Glioblastoma

Glioblastoma (GBM), the most common and deadly form of primary brain cancer in adults. After diagnosis, GBM patients undergo standard therapy, including surgery, chemotherapy and radiation therapy. Unfortunately, disease relapse is inevitable and patients face a median survival of less than 15 months. A small population of tumor cells, known as brain tumor initiating cells […]

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Combining deep learning neural networks and spatiotemporal models for prediction and inference of residential house prices for property assessment

Property valuation is a crucial economic service that is used by local governments for the distribution of property taxes in order to fund local services. The current and widely adopted cost approach to valuation is based on estimating the land value and the depreciated cost of the building. This approach relies on third party cost […]

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