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Fall 2017
Since the establishment of the Alberta High School English Language Arts Program of Studies, the genre of the Shakespearean drama has always been a required component in the curriculum document. In addition, English 30-1 students must complete a series of reading comprehension questions on a...
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What Language Reflects and Predicts in the Consumption of Cuteness and Foreign Entertainment
DownloadFall 2022
Language is ubiquitous and impactful in the marketplace, constantly being generated and consumed in speech, text, word of mouth (WOM), and online exchanges (Berger, 2014; Berger, Packard, et al., 2022; Moore & Lafreniere, 2020). For example, the choice of words, concreteness of language, and...
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What Makes a Project Safe? Identifying the Impacts Factors Have on the Safety Performance of a Construction Site through Use of Artificial Neural Networks
DownloadSpring 2015
What makes a construction project safe? This question prompted this research project. The goal was to identify factors and quantify their impact on the safety performance of construction projects. The first step in achieving this goal was to research key performance indicators in the area of...
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Spring 2014
Introduction: “Pain coping” refers to cognitive and behavioral pain management methods. Little is known about the determinants of coping style. Objective: To investigate factors predicting coping in whiplash-associated disorders (WAD) and onset of severe neck/low back pain. Methods: In secondary...
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What the Puck? The Gentle Wind Project, a Quasi-Religious New Age Alternative Healing Organization
DownloadFall 2015
The quasi-religious space is important for examining groups and organizations that exhibit qualities of both the sacred and the secular, particularly when groups have a vested interest in being perceived as either secular or sacred. The purpose of this thesis is to examine the Gentle Wind...
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Fall 2023
Oftentimes, machine learning applications using neural networks involve solving discrete optimization problems, such as in pruning, parameter-isolation-based continual learning and training of binary networks. Still, these discrete problems are combinatorial in nature and are also not amenable to...