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Skip to Search Results- 34913Graduate and Postdoctoral Studies (GPS), Faculty of
- 34913Graduate and Postdoctoral Studies (GPS), Faculty of/Theses and Dissertations
- 106St. Stephen's College
- 58St. Stephen's College/Department of Psychotherapy and Spirituality (St. Stephen's College)
- 25St. Stephen's College/Department of Theology-MTS (St. Stephen's College)
- 23St. Stephen's College/Department of Theology-DMin (St. Stephen's College)
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Fall 2024
Over the past two decades, we have witnessed the emergence of what I call the populist paradox, where citizens seek to restore grassroots democratic power by embracing authoritarian movements or governments. Instead of abandoning populism to anti-democratic forces, in this thesis, I argue we can...
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Development and Evaluation of Interpretable Machine Learning Models for Mitigating Winter Road Safety – An Empirical Investigation
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In Canada, winter crashes account for a significant portion of crashes each year. This thesis investigates the utility of machine learning (ML) for understanding and mitigating winter road risks. Despite their potential to achieve high predictive performance in the face of complex data...
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From the Pre-critical Nucleus to Atmospheric Aerosol Particles: Insights from Rotational Spectroscopic, Computational, and Aerosol Characterization Studies
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Over the past several years in Alberta, the frequency and severity of wildfires has increased and resulted in the loss of lives, destruction of housing, and devastation of large forest areas. A byproduct of these fires are toxic emissions that contain primary aerosols and volatile organic...
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Fall 2024
The stochastic diversification of the T cell receptor (TCR) carries with it both the potential for recognizing virtually infinite foreign peptides, but also the potential for the erroneous recognition of self-peptides, which represents a threat of autoimmunity. During development in the thymus, T...
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Fall 2024
Laura Portugal, Cristhian Felix
Accurate forecasting of project duration is crucial during the execution phase as it affects its overall performance, timely decision-making, identification of potential delays, and resource allocation. This research proposes a proof of concept based on artificial intelligence, specifically using...
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Fall 2024
We evaluate the effectiveness of Large Language Models (LLMs) in assessing essay quality, focusing on their alignment with human grading processes. Specifically, we investigate the applicability of LLMs such as GPT-3.5T and Llama-2 in the Automated Essay Scoring (AES) task, a crucial natural...
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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,...