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Fall 2024
Remembering autobiographical memories (AMs) entails the visualization of events from a particular visual perspective. Own eyes perspectives, in which one visualizes the event through their own eyes, are associated with higher emotionality compared to observer-like perspectives, in which one...
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Fall 2024
One of the major challenges that humanity faces is the buildup of plastic waste in the environment. As a biodegradable plastic with similar physical properties to consumer plastics, poly(3-hydroxybutyrate) (PHB) is an excellent option for their replacement. PHB is produced inside bacterial cells,...
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Fall 2024
During the Victorian Era, it was common for women to use hair from loved ones to create intricate pieces of jewelry and art, particularly for mourning mementos. This thesis endeavoured to answer the research question: “What can an object analysis of a nineteenth-century mourning hair jewelry...
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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....