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Fall 2023
The problem of missing data is omnipresent in a wide range of real-world datasets. When learning and predicting on this data with neural networks, the typical strategy is to fill-in or complete these missing values in the dataset, called impute-then-regress. Much less common is to attempt to...
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The Use of Movement-Based Tests for the Prediction of Non-Contact Low Back Injuries in Uninjured Military Personnel: A six-month prospective cohort study
DownloadFall 2021
Abstract Background Low back pain (LBP) is the most reported musculoskeletal complaint in the Canadian Armed Forces (CAF). By identifying low-tech movement-based tests that predict risk of future non-contact low back injury (LBI), we could create an easy to administer screening test. It may then...
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Fall 2018
Total dissolved gases generated downstream of hydropower dams pose an environmental risk to fish species. The objective of this study was to understand total dissolved gas generation mechanisms at Hugh L. Keenleyside Dam along the Columbia River near Castlegar, BC. This was in an effort to...