Predicting real-world attention with physiology

It is estimated that the average person spends up to 50% of their waking hours thinking about things other than what they are presently doing (i.e., mind wandering). This internal form of distraction along with its external counterpart (i.e., external distraction) are associated with performance deficits during everyday activities, such as reading or driving. Moreover, […]

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A One-Health approach to echinococcosis (Echinococcus multilocularis) in client owned dogs in Alberta: force of infection, risk factors, diagnostics, treatments and information

This project aims to determine prevalence rates of Echinococcus species tapeworms in domestic dogs and to compare these rates to those obtained from wild canids including wolves, coyotes, and foxes. This will shed light on infection rates and risk factors for both the human population and their pet dogs. This research will benefit Bayer as […]

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SSI efficacy in treating infectious colitis

Inflammatory bowel disease (IBD) is a disease with unknown etiology that is characterized by uncontrolled intestinal inflammation and microbial dysbiosis. Qu Biologics’ Site Specific Immunomodulators (SSI) are a platform technology shown to improve the status of people living with IBD (Crohn’s disease and ulcerative colitis), with most of those patients showing clinical improvement also going […]

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Self-powered microchips for rapid diagnosis and severity determination of urinary tract infections

Children presenting a fever without known sources are usually checked for bacterial urinary tract infection (UTI) which, in its more complicated forms, can result in permanent kidney damage. The gold standard conventional tests to diagnose complicated urinary tract infections are urine culture and kidney imaging with a radioactive tracer. However, these tests are lengthy (urine […]

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Food Economy Research Project

The purpose of this research is to examine the food consumption pattern in Revelstoke, British Columbia. Through employing a three-stage action research approach – (i) the food receipt study, (ii) the social media intervention (SMI) on healthy eating and healthy cooking, and (iii) the food consumption depth interview, this study seeks to capture residents’ food […]

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Characterization of the colloidal properties of concentrated casein micelles and improvement of the functionality of concentrated milk products using membrane filtration – Year 2

Whey proteins in milk are detrimental to the rennet-induced coagulation of milk. In this project, we will use microfiltration membrane technique to concentrate the milk and to remove whey proteins. A process called diafiltration (DF) will also be used to further remove whey proteins by adding water to the MF concentrated milk and then filtered. […]

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Development of Graphene Modified Cathode for Next Generation Aqueous Rechargeable Lithium Batteries – Year 2

Aqueous rechargeable lithium battery has received great attention recently due to the less toxicity, lower cost and higher safety compared to the non-aqueous systems. When using the commercially available lithium manganese oxide as active materials, there are demands in suppressing manganese dissolution and graphite consumption in the cathode. As a potential solution to achieve these […]

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Development of low-cost feeding strategies for group-housed gestating sows – Year 2

Feed restriction in gestating sows is required to prevent excessive body weight gain and the associated negative consequences on lactation, locomotion, farrowing, and feed intake during lactation. Aggression and stereotypies associated with restricted feeding become a welfare and production concern when the sows are housed in groups. Delayed gastric emptying, increased swelling of contents in […]

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Linguistic Data Science for the Development of a Business Corpus

This project is dedicated to the development of a new business corpus as a novel data for the company’s business intelligence. It focuses on linguistic pre-processing for the business domain using two types of collected corpora: text and speech. An automatic annotation of the pre-processed business corpus will be completed using labels related to sentiment […]

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3-D imaging of plants and vegetables

The agriculture industry is a labour intensive industry. Using a reliable method of plant monitoring can greatly help farmers to reduce their labours and consequently their production costs. Creating an accurate 3-D model of each plant or vegetable provides farmers with more information about the growth stage of the plant which helps them to make […]

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Validation of novel balance assessment software using Microsoft Kinect v2.0

Objective and reliable assessment of balance and postural sway has the ability to drastically improve the screening process for risk of falls among elderly populations. Standard assessment protocols and questionnaires are in place, however these do not provide objective, reliable fall prediction. Standard concussion assessment protocols determine the presence and severity of a concussion, as well […]

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