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Modelling calcite dissolution in a rotating disc reaction vessel
(2021-06-01)
The carbonate system is ubiquitous in nature, playing a role in many natural and industrial processes. For calcite dissolution, the kinetics and mass transport of the dissolved species reflect both the chemistry of the ...
Impact of potato protein supplementation with dietary fermentable materials on immune measures in Sprague-Dawley rats
(2020-09-01)
Bacteria may influence the immune system by fermenting dietary fermentable materials (DFM) that resist digestion and reach the colon intact. This study investigated how resistant protein supplementation could affect the ...
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 ...
Determining the effects of harmful algae blooms and their toxins on fish from both environment and laboratory-based studies through the use of proteomics
(2021-01-01)
The effects of harmful algae blooms (HABs) on wild, freshwater, large-bodied fish have been under examined. Blood samples were collected from fish in Hamilton Harbor and Lake Erie to assess the effects of HABs on a molecular ...
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 ...
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 ...
Extending the relational model with constraint satisfaction
(2021-01-01)
We propose a new approach to data driven constraint programming. By extending the relational model to handle constraints and variables as first class citizens, we are able to express first order logic SAT problems using ...
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 ...
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. ...
Evolutionary multi-objective design of autoencoder for compact representation of histopathology images
(2021-08-01)
Deep learning can cope with complex tasks; however, it suffers from the crucial problem of high dimensionality which makes it intractable to learn the patterns and classify the data. Importantly, having a fixed model cannot ...