Numerical Simulations on exotic magnetic materials

Data storage devices as hard drives or solid state disks rely on the magnetic properties of special materials. As the amount of data produced is increasing every day; new, more efficient, with more storage capacity, and faster devices are needed. One plausible option is to investigate exotic magnetic materials. We will run numerical simulations to […]

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Antigen Tracking of the DPX-R9F immunotherapy using MRI – Part 2

IMV Inc. is developing injectable cancer immune therapy using the company’s DPXTM technology. DPX is a patented formulation that displays excellent tumor control and provides a long lasting and specific effect. The way by which this therapy exerts its effect is unclear but the translational team at IMV is determined to discover its mechanism of […]

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Development of Novel Selective Estrogen Receptor Modulators

Breast cancer is the most common cancer among women worldwide. Estrogen, a sex hormone in women plays a key role in the proliferation of cancer cells especially in post-menopausal women. Selective estrogen receptor modulators (SERMs) like tamoxifen and raloxifene are the most efficient drugs for treatment of breast cancer. These drugs bind to estrogen receptors […]

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Modeling accidental oil outflows from shipping accidents

The overall aim of the research is to develop a decision support system to quickly estimate the oil outflow from a damaged tanker in a collision or grounding accident, in Arctic conditions. The work in this Mitacs project focuses on a part of this overall objective: modeling the dynamic oil outflow from a damaged tanker. […]

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Modeling structural damage in Arctic tanker accidents

The overall aim of the research is to develop a decision support system to quickly estimate the oil outflow from a damaged tanker in a collision or grounding accident, in Arctic conditions. The work in this project focuses on modeling the accidental damage size for representative tankers operating in the Canadian Arctic, when these experience […]

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Effect of Convective vs. Freeze Drying on the Hemp Bioactive Compounds

Industrial hemp (Cannabis sativa L.) and its fibres being durable are used in fabrics, sail making and papermaking. Its seed is a rich source of polyunsaturated fatty acids (omega-3, 6) and its oil is used for cooking and for medicinal purposes. Cannabis contains cannabinoids, of which, ?9-tetrahydrocannabinol (THC) and cannabidiol (CBD) have been identified as […]

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Quantification and Improvement of Juvenile American Eel Passage Through Fishways and Wetland Water Control Infrastructure.

The American Eel is a species of significant ecological, social and commercial value and a species of conservation concern in part due to reduced habitat connectivity to both freshwater habitat as juveniles, commonly known as glass eels or elvers. During the proposed research period the intern will work to quantify passage of elvers through existing […]

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Active Learning for Fish School Recognition in Echograms in the Bay of Fundy

OERA use hydroacoustic echosounder surveys to evaluate the impact on marine life of tidal turbines in the Bay of Fundy. OERA use Echoview software to read in the raw sensor data (e.g. voltages) and convert it to a visual representation. Echoview contains some algorithms to detect the bottom of the ocean. However, the Fundy data […]

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Eye movement behaviours predict decision-making

Much is known about how our mind guides our attention as we visually process our environment. Visual search is guided by a marriage between internal (i.e., our explicit goals and objectives) and external (i.e., physical properties of objects) factors that influence our perception of the world around us. Recent work has shown that individuals vary […]

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From Observation to Response: The use of inclusive indicators to inform coastal Inuit resilience in Northern Labrador.

This project focuses on building a framework for socio-ecological and economic indicators that integrate local observations and Traditional Ecological Knowledge (TEK). The primary goal is to uncover valuable knowledge of coastal communities and provide a tool that encompasses TEK in measuring the status and trends in the health of marine resources while at the same […]

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Predictive Analytics for Charitable giving

Machine learning in the charitable sector is only beginning to be used successfully. Fundmetric Inc has applied various machine learning algorithms to predict donor behaviour, such as who will become a major ($10,000+) donor and which lapsed donors will return if stewarded correctly. There is ample opportunity for research in this domain, including building a […]

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