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Fall 2024
Value-based reinforcement learning is an approach to sequential decision making in which decisions are informed by learned, long-horizon predictions of future reward. This dissertation aims to understand issues that value-based methods face and develop algorithmic ideas to address these issues....
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A Decision Support System (DSS) to Select the most Sustainable Alternative to Deal with Buildings with Unacceptable Conditions
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The gradual development of the construction sector is worsening environmental deterioration and causing an unsustainable rise in resource use, further complicating the industry's long-term issues. An important facet of this matter is the present strategy for handling antiquated structures,...
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Fall 2024
AHRs' efficacy in mental health research. These papers are meant to showcase the application of machine learning (ML) to predict opioid overdose risks, the examination of developmental disorder utilization shifts within the Alberta healthcare system, and the impact of the pandemic on...
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Modulation of Aryl Hydrocarbon Receptor (AHR)-Regulated Metabolic Enzymes by Arsenic Trioxide and its Thioarsenical Metabolite
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Arsenic trioxide (ATOIII) has evolved into a successful therapy for acute promyelocytic leukemia (APL), however, being an arsenical, it retains at its core the hypertoxic characteristics of that notorious metalloid. Such inherent toxicity causes a constellation of complications in APL patients,...
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Motivation and Readiness in Managing Adolescent Obesity: Treatment Fidelity, Lived Experiences, and Readiness to Change Ruler
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Background. One in three Canadian children and adolescents are living with obesity, so evidence-based, effective interventions for managing adolescent obesity are critically important. Motivation (i.e., desire and drive for change) and readiness to change (i.e., capability for change) are...
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Methodologies in Mechanistic and Machine Learning Modelling of Nitrous Oxide Emissions from Wastewater Treatment Processes
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Nitrous oxide (N2O), a potent greenhouse gas, significantly contributes to the carbon footprint of wastewater treatment plants (WWTPs), with a global warming potential 300 times that of CO2 and also notorious for its ozone-depleting effect. Modelling can be a valuable alternative to...
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Development and Performance Evaluation of the Steel Moment-resisting Knee-braced Frame System Under Seismic and Wind Loads
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The primary goal of this Ph.D. project is to develop an innovative steel lateral load-resisting system (LLRS), referred to as the Moment-resisting Knee-braced Frame (MKF), to resist wind and earthquake loads. This system is proposed as an alternative to conventional steel LLRSs for applications...
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Past, present, and future: Non-consumptive effects of the ectoparasitic mite Macrocheles subbadius on adult and larval Drosophila nigrospiracula
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Parasites can indirectly impact hosts through non-consumptive effects (NCEs) via changes in behaviour, morphology, and/or physiology. These responses can be understood in terms of the ecology of fear framework. My study system involves a cactophilic fruit fly (Drosophila nigrospiracula) and a...
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Thermal Treatment of Bitumen Froth at 400 °C: Impact of Water and Minerals on Bitumen Properties and Reaction Chemistry
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The production of oilsands bitumen from mining operations requires its recovery from the mineral matter through a hot water extraction process, which generates a bitumen froth comprising about 60 wt% bitumen, 30 wt% water, and 10 wt% mineral solids. The challenging separation of water and solids...
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Impact of the COVID-19 Pandemic on Developmental Vulnerabilities and Mental Health: Implications for Children and Adolescents in Alberta Using an Evidence-Based Approach
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This paper-based thesis presents a comprehensive investigation into developmental vulnerability and mental health-related utilization in young individuals, including physicians’ office visits, emergency department visits, and hospitalizations, utilizing population-level data. The primary...