Charging/Discharging Mechanisms of Manganese Oxide Positive Electrodes in Zinc-Ion Batteries

Public awareness of global climate change resulting from greenhouse gas emission has led to increasing utilization of renewable energy sources such as wind and solar. These sources are inherently intermittent in nature, necessitating effective methods of storing power for later use. Zinc-ion batteries (ZIBs) are a promising candidate, since zinc is widely available and inexpensive. […]

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Helping Servus Members Reach Financial Goals via Transfer Learning

In this self-contained project we will investigate how machine learning can be applied to help provide personalized financial advice. Machine learning is a term that designates types of artificial intelligence that rely on learning behaviors from data or experience. Specifically, the goal of this work is to apply machine learning to Servus Credit Union’s Noble […]

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Identification of Key Microbes from Spontaneous Beer to Improve Mixed Fermentations

Sour beers, traditionally made via spontaneous fermentation, are growing in popularity; particularly examples produced using the modern technique of mixed fermentation. These mixed fermentation beers present unique challenges during production. We hypothesize that by examining traditional process spontaneously fermented beer, we can identify new methods and strategies for improving the quality of mixed fermentation beers. […]

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AI in Ophthalmology triage automation

There are currently 18 retina specialists in the province of Alberta, approximately half in Calgary and half in Edmonton. Retinal diseases are common. For example, approximately 6.5 percent of people age 40 and older have some degree of macular degeneration. Diabetes retinopathy affects approximately 500,000 Canadians. Many retinal conditions are treatable when detected early, however […]

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Hardware and Software Integration for Automated Drone Surveillance

Unmanned Arial Surveillance is rapidly gaining acceptance for various applications, such as monitoring of long power transmission lines, pipelines and mass transit systems that extend for hundreds of kilometers. Unmanned Aerial Vehicles (UAVs) such as drones provide the flexibility to reduce costs. In the case of natural disaster occurrence such as earthquake, flood or hurricane, […]

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Improving Resource Estimation with Machine Learning

The proposed project aims to improve the prediction of mineral resources for better decision making throughout a mining project, that is, to decide whether to reject or to process extracted material using machine learning algorithms. This will help maximize profit for mining companies while minimizing environmental impact as the correct material will be processed more […]

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Engineered Polymers for siRNA Therapy of COVID-19

Coronavirus disease 2019 (COVID-19) has emerged as a major threat to life on earth. COVID-19 is an infectious disease caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The excessive reaction displayed by immune system against this virus is damaging particularly to lungs, resulting in rapid lung failure and loss of life. We propose […]

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Ex-vivo Device for Screening the Efficacy of COVID-19 Vaccines and Producing Antibodies

COVID-19 has significantly impacted the health of the global population. Although timely detection and isolation are important, vaccination is probably more effective in fighting against COVID-19. Our proposed ex-vivo can help the validation of the COVID-19 vaccine and produce antibodies for COVID-19. The benefit to the Canadian community and the industry partner is palpable.

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Total Versus Bioaccessible Soil Sterilants (Bromacil and Tebuthiuron)

Bioaccessibility of soil sterilants is a limitation in management of sterilant-impacted sites. The term ‘bioaccessibility’ means: what is immediately available, plus that which may become available. Studies have been conducted to examine the bioaccessible fraction of various soil sterilants after different aging periods; however, studies have not been conducted in Alberta. Immobilization technologies such as […]

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Interaction between dietary fiber fermentation kinetics and consequences for protein and mineral metabolism in growing pigs

Feed formulation is based on ingredient digestibility data, and the assumption of additivity. However, digestibility data generally do not account for interactions among nutrients or ingredients. An enhanced understanding of protein and fiber digestion rates and extent of their fermentation between feedstuffs would help to optimize feed formulation. Furthermore, macro-minerals, including phosphorus, copper and zinc, […]

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Reliability evaluation of strain-based design for pipelines using probabilistic demand/capacity models

Ground movement can impose excessive deformation violating pertinent pipeline limit states. Currently, the integrity assessment of pipelines subjected to soil movement is generally performed by analyzing the stresses and/or strains in pipelines using various engineering techniques, including finite element analysis (FEA). However, given the wide variability of the pipe and soil engineering properties, using deterministic […]

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