Arctic Research Foundation UX/UI searchable database

The Arctic Research Foundation (ARF) is a private, non-profit organization creating a scientific infrastructure for the Canadian Arctic. Over the years, it has generated and collected a huge volume of big data. These valuable big data need to be managed. In response, we design an effective database to (a) integrate these big data (which may […]

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Life Cycle Sustainability Analysis of Modular Indoor Micro-farms

Current agricultural production practices place enormous burdens on the earth’s ecosystems and are creating challenges to meet future food security goals given growing populations and mounting pressure to limit resource use and environmental impacts. In Canada especially, the short growing season and cold climate limit vegetable production and create reliance on indoor food production or […]

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Developing and Validating a Robust Sample Preparation, Separation and Quantitation Method for Pesticide Residues in Cannabis

Mandatory reporting limits established by Health Canada for pesticide testing in cannabis are typically lower than those published in various U.S. states. Because dried cannabis leaves and flowers generate many co-extractives that can negatively impact testing results, a simple and cost-effective sample preparation and analytical method needs to be developed to meet the demanding testing […]

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Using Communications Theory to Enhance Indigenous Employee Recruitment and Retention on Vancouver Island

Charla Huber wants to identify how employers can better support Indigenous employees. Many companies have identified they want to increase the number of Indigenous employees, but little success has been found. Charla will receive guidance from Indigenous Elders and leaders across British Columbia to understand the differences in how Indigenous people communicate and how their […]

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Navigating the COVID crisis: reimaging business models and reporting mechanisms to enhance the resiliency and sustainability of small and medium sized enterprises

The COVID-19 crisis has caused severe disruption in the supply chain, reduced demand for goods and services, prompted a dramatic decline in GDP, caused high levels of unemployment, and undermined consumer confidence. The calamity has exposed vulnerabilities in the current paradigm of management thinking and business operational structures. Small to medium-sized enterprises (SMEs) are among […]

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Development of Prophylactic Therapy to Reduce COVID-19 Infections

Working with Avicanna Inc., a Canadian biopharmaceutical company with advanced natural cannabinoid solutions, we will develop an easy-to-use preventative treatment, in the form of a mouthwash and/or throat gargle product, for both clinical and at-home use. A critical step of the infection is when the virus enters human host cells, which is enabled by the […]

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Understanding Empirical Risk Minimization via Information Theory

Deep neural network (DNN) is a class of machine learning algorithms which is inspired by biological neural networks. Learning with deep neural networks has enjoyed huge empirical success in recent years across a wide variety of tasks. Lately many researchers in machine learning society have become interested in the generalization mystery: why do overparameterized DNN […]

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Investigation of a Helical Pile Reinforced Railway Embankment over Soft Soils

To provide an economic solution to Canada’s ageing rail infrastructure, this project will investigate the use of helical piles in reinforcing railway embankments. This research will consist of the in-field monitoring of both test piles and a helical pile reinforced embankment. Prior to the embankment field investigation, test piles will be analyzed to provide a […]

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Visual Analytics Methods to Support Sensemaking under Ambiguity in Avalanche Forecasting

Analysis of complex systems involves much more than what is evident in data alone. Background knowledge and experience are used to inform interpretation. Often this results in ambiguity, a state where multiple potential interpretations must be considered and evaluated. When analysis is shared these challenges are compounded by the complexity of communication. Ambiguity is common […]

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Resili, a case study: An evaluation for improved user experience in DBT skills apps

This project seeks to build the body of academic understanding on how to effectively deliver a mental health skills-based intervention through a mobile app. The analysis will be done through retrospective and live analysis of the Resili app, a publicly available mHealth app which promotes strong mental health through the administration of a Dialectical Behaviour […]

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