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USING IN-LINE MILK PROGESTERONE DATA TO DETERMINE OVARIAN ACTIVITY PARAMETERS ASSOCIATED WITH REDUCED FERTILITY IN CANADIAN HOLSTEIN COWS
DownloadFall 2017
Improvements in genetic selection and dairy management practices have resulted in dramatic increases in individual milk production over past decades. However, this positive trend has been accompanied by decreased reproductive performance and fertility in dairy cows. Infertility in modern dairy...
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Using international volunteer experiences to educate university students for global citizenship
DownloadFall 2009
Several writers have described the aim of global citizenship education as developing in students a global ethic of social justice. Western post-secondary institutions have endeavored to educate students for global citizenship by traveling to and volunteering in developing countries. Such programs...
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Using Intersectionality Theory and Critical Realism for Exploring Heart Failure Telehealth Interventions for Vulnerable Patient Populations: A Scoping Review, Intersectionality-based Analysis, and A Rapid Realist Review
DownloadFall 2022
Background: Heart Failure (HF) is at epidemic levels among older adults, globally. Heart Failure Disease Management Interventions (HFDMIs) enhance self-care and quality of life as well as reduce hospital readmissions, through patient education and follow up, effective treatment, psychosocial...
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Using Intravaginal Probiotics to Lower the Incidence of Uterine Infections and Improve Reproductive Performance and Productivity of Dairy Cows in Dairy Farms in Alberta
DownloadFall 2018
Uterine infections are the number one reason for culling of cows in Canada and elsewhere because are associated with high incidence of infertility. Five hundred and twenty-six dairy cows (426 Holstein and 100 Jersey cows) from 4 dairy farms in Alberta (three farms had Holstein dairy cows and one...
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Using Machine Learning and Keyword Analysis to Analyze Incident Reports and Reduce Risk in Oil Sands Operations
DownloadSpring 2020
Many companies maintain large databases of incident reports. Incidents that have severe consequences are analyzed in detail to prevent recurrence, while minor incidents are typically stored without any further evaluation. Especially with common incidents and those with lesser consequences,...
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Using Machine Learning to Identify Common Engagement-Related Behaviours Demonstrated by Older Adults with Dementia While Playing Mobile Games
DownloadFall 2022
Background: Dementia causes impairment of a person’s memory, cognitive abilities, and behaviour, making it difficult for a person to complete daily tasks. Dementia affects the behavioural, psychological, and social dimensions of older adults living with the disease. Older adults living with...
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Using Machine Learning to Understand the National Security Agency’s Data Surveillance Trends
DownloadFall 2021
For over six decades, the public has remained ignorant about the National Security Agency (NSA) and its activities and has been shielded from the agency’s invasive and unlawful projects. While the NSA’s activities have proven valuable to the United States and its allies, it sometimes undertakes...
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Using Malaria Rapid Diagnostic Tests in Ghana: Understanding Healthcare Providers' Compliance with Policy Guidelines for Malaria Diagnosis in Peripheral Facilities
DownloadSpring 2014
Financing and implementation of malaria control measures expanded vastly over the past decade, leading to substantial reductions in global malaria morbidity and mortality. Yet malaria still threatens health and socio-economic development among the poorest populations particularly in sub-Saharan...
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Using Monte Carlo Simulation to Evaluate Performance of Forecasting Models in Project Control
DownloadFall 2020
The construction sector is one of the largest in the world economy. Billions of dollars are spent every year to execute and deliver projects serving the public. However, internal and external factors – such as unexpected weather, financial difficulties, manpower shortages, and excessive change...