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Skip to Search Results- 1Bostan, Babak
- 1Chen, Ke
- 1Dadgostar, Nafiseh
- 1Ghazimirsaied, Seyedahmad
- 1Kedarisetti, Kanaka Durga
- 1Liu, Qingchen
- 2Shaw, John M. (Chemical and Materials Engineering)
- 1Dick, Scott (Department of Electrical and Computer Engineering)
- 1Flannigan, Mike (Renewable Resources)
- 1Greiner, Russell (Computing Science)
- 1Koch, Charles Robert (Mechanical Engineering)
- 1Kurgan, Lukasz (Department of Electrical and Computer Engineering)
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Bubble Pressure Measurement and Modeling for n-Alkane + Aromatic Hydrocarbon Binary Mixtures
DownloadFall 2017
Commonly-used cubic equations of state (EOS) over predict the bubble point pressures (BPPs) for binary long-chain n-alkane + aromatic mixtures and frequently predict the incorrect phase diagram type. In this work, BPPs for 15 representative n-alkane + aromatic hydrocarbon binary mixtures were...
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Spring 2012
Accurately identifying strand residues (beta-residues) from protein sequences aids prediction and analysis of numerous structural and functional aspects of proteins. This thesis is focused on improving sequence-based prediction of strand residues and strands, which in turn would lead to better...
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Computational support systems for prediction and characterization of protein crystallization outcomes
DownloadFall 2013
Analysis of protein structures may reveal their function, regulation and interactions. Almost 90% of the known protein structures were solved using X-ray crystallography; however, many more structures remain unsolved. Protein Structure Initiative (PSI) project was created to speed up structure...
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Spring 2012
Homogenous Charge Compression Ignition (HCCI) is a promising technology that offers high fuel economy and low oxides of nitrogen and particulate emission for automotive and stationary engines. A significant challenge with HCCI is the large number of partial burn/misfire cycles within the lean...
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Fall 2016
Humans are the major cause of forest fires in the spring in Alberta, and have resulted in major property damage in both the Flat Top Complex fires in 2011 and the Fort McMurray fire in 2016. Fire occurrence prediction (FOP) models can help predict when and where fires can be expected in order to...
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Implementation and Evaluation of Spatiotemporal Prediction Algorithms and Prediction of Spatially Distributed Greenhouse Gas Inventories
DownloadFall 2011
Growing environmental concerns require monitoring and modelling of greenhouse gases. These modelling efforts require processing of massive datasets in a timely fashion. This, in turn, can lead to feasibility problems when estimating values of missing data points. This thesis examines and compares...
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Fall 2011
Proteins, which participate in virtually every process within cells, implement many of their functions through interactions with various ligands. Although a substantial effort in characterization and prediction of protein-ligand interactions was observed in the past two decades, these subjects...
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Needle Shape Visualization, Tracking and Steering Control for Permanent Prostate Brachytherapy Applications
DownloadFall 2016
Prostate cancer is one of the most prevalent types of cancers in North American males, afflicting one in eight men over the course of their lifetime. Fortunately, early-stage prostate cancer has a wide variety of treatment options. One such option, permanent prostate brachytherapy, has been...
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Fall 2009
Understanding biochemical reactions inside cells of individual organisms is a key factor for improving our biological knowledge. Signaling pathways provide a road map for a wide range of these chemical reactions that convert one signal or stimulus into another. In general, each signaling pathway...
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Fall 2013
There are currently no reliable methods for predicting liquid heat capacities of ill-defined hydrocarbons, such as bitumen and heavy crude oils and their partly processed fractions. Estimation techniques for liquid phase isobaric heat capacity of pure compounds include corresponding state and...