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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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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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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Digitized neuroanatomical map of the human saphenous nerve

Overactive bladder (OAB) is an incurable, chronic medical condition that is characterized by symptoms of urgency, frequency, nocturia and urinary incontinence. It affects approximately 18% of adults and over 30% of the elderly population. Saphenous nerve stimulation is a novel therapy aimed at treating OAB patients. It offers an alternative to bladder medication, which can […]

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Measuring up? Assessing approaches used to measure the effectiveness of protected areas at conserving biodiversity

The world is currently facing a biodiversity crisis driven by the loss and degradation of habitat resulting from the conversion of natural areas to agricultural land and urban development. To combat this biodiversity crisis, the government committed to Convention of Biological Diversity and national targets of protecting at least 17% of terrestrial land through network […]

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Next-Generation Precision Medicine Solutions – Diagnostics

As personalized medicine approaches aim to tailor treatments to individuals, improvements are needed in the detection of existing biomarkers and genomic, epigenomic, and proteomic changes that occur during disease development. This would have potential impact on medication selection and targeted therapy, reduce adverse effects, improve cost effectiveness, and shift the goal of medicine from reactive […]

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A participatory approach to redeveloping coach and volunteer online training modules: A Special Olympics context

“On-going coach and volunteer training are essential to providing high-quality, evidence-informed practices in sport settings. This study aims to extend Special Olympics Ontario and Special Olympics Canada’s online training platform for coaches and volunteers by working with athletes with intellectual disabilities, current Special Olympics coaches, and families of Special Olympics athletes. An iterative process will […]

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