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Development of Non-covalent Chemical Probes for μ, δ and κ Opioid Receptors
(2020-12-01)
Opioids are well-known pain relievers and one of several therapeutic options for pain management. Although opioids are very effective analgesics, continued use and abuse can lead to physical dependence and withdrawal ...
Material properties and mechanical behaviour of large-scale additively manufactured multi-layered steels
(2020-03-01)
Metal Big Area Additive Manufacturing is an additive manufacturing technique based on gas metal arc welding. The systems’ dual nozzle design prints two steels simultaneously; in this study, the test samples are made from ...
The World Trade Web: using network analysis and machine learning as tools for public policy decision-making
(2020-11-01)
The World Trade Web (WTW) contains a wealth of information that upon rigorous analysis can aid governments in public policy decision-making. In my attempt to provide this valuable input, this dissertation uses two main ...
Development and comparison of augmented and virtual reality interactions for direct ophthalmoscopy
(2020-10-01)
Direct ophthalmoscopy is a medical procedure whereby a health professional examines the back of the eye, searching for life-threatening risks. The direct ophthalmoscope is used for examining the patient and it requires ...
Kill switch design pattern for microservice architectures on internet of things devices
(2020-12-01)
Containers and virtual machines are being adopted to develop embedded Linux Internet-of-Things applications. Consumer Internet-of-Things devices have been notoriously insecure due to loss of continued software support. To ...
Effect of copper contamination at the cathode in Cu-Cl electrolyzers for hydrogen production
(2020-04-01)
In this work the effects of copper contamination on the coulombic and voltage efficiency of the hydrogen evolution reaction (HER) via the Cu-Cl thermochemical cycle are investigated. A novel proton pump configuration was ...
An in-depth analysis of guesser behavior
(2020-11-01)
We propose a methodology to perform an in-depth analysis on different password guessers and their guessing abilities. We devise new metrics and statistics that directly compare the types of passwords each guesser generates, ...
Deep learning approach to discontinuity-preserving image registration
(2020-05-01)
Image registration is an indispensable tool in medical image analysis. Traditionally, registration algorithms are aimed at aligning image pairs using regularizers to impose smoothness restrictions on unknown deformation ...
Comparative analysis of deep learning and graph cut algorithms for cell image segmentation
(2020-08-01)
Image segmentation is a commonly used technique in digital image processing with many applications in the area of computer vision and medical image analysis. The goal of image segmentation is to partition an image into ...
Automatic fault localization in concurrent programs using noising and search strategies
(2020-05-01)
Multithreaded programs can have considerable performance benefits over sequential programs. However, these advantages often come at a cost with respect to program understandability as well as testing and debugging challenges. ...