Browsing Doctoral Dissertations by Title
Now showing items 37-56 of 71
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Identification and characterization novel of cystine-loop ligand- gated chloride channels from Dirofilaria immitis: pharmacological analysis and novel compound screening
(2023-12-01)Dirofilaria immitis, otherwise known as heartworm, is a parasite that infects the hearts of dogs and causes serious health consequences. While preventative treatments are available drug resistance is developing at an ... -
Immunomodulatory activity of Lacticaseibacillus rhamnosus R0011: analysis of secretome-mediated impacts on innate immune outcomes in intestinal epithelial cells and antigen presenting cells
(2021-12-01)Certain lactic acid bacteria (LAB), such as Lacticaseibacillus rhamnosus R0011, are associated with immune modulatory activities including down-regulation of pro-inflammatory gene transcription and expression. While host ... -
Impact of neck muscle fatigue on upper limb sensorimotor integration
(2019-08-01)Neck muscles have a high density of sensory receptors which project to the central nervous system, and have important role in sensory motor integration (SMI). The cerebellum is important for SMI and it is known to undergo ... -
The impact of restricted ration and chemical stressors on Rainbow trout (Oncorhynchus mykiss) and American flagfish (Jordanella floridae)
(2017-12-01)This research aimed to increase the understanding of the impact of multiple factors including both environmental and chemical stressors and their effects on fish survival, growth, and reproduction. Rainbow trout (Oncorhynchus ... -
Influence of dietary interventions on the immune system: an investigation of the impact of omega-3 fatty acids, dietary fermentable materials and high energy diets
(2016-12-01)Dietary interventions vary in ability to influence immune activity. Separate investigations were conducted to determine the immune impact of omega-3 fatty acids, dietary fermentable materials (DFM) and high energy (HE) ... -
Integrated traffic analysis and visualization for future road events
(2023-04-01)The existing traffic simulation methods are limited to specific synthetic scenarios. In addition, the natural structure of traffic and accident data requires modeling the dependent observations on multiple levels. Therefore, ... -
Investigating the distribution of Nitellopsis obtusa in Ontario Lakes and its role as an ecosystem engineer
(2021-08-01)Nitellopsis obtusa is a non-native macrophyte introduced into the Laurentian Great Lakes in 1974. Over the last decade, increasing reports emerged for N. obtusa within lakes in the Great Lakes Basin. Despite N. obtusa being ... -
Leveraging vehicular cloud computing through location and request prediction
(2023-04-01)In recent years, the implementation of Vehicular Ad-hoc networks (VANET) has been acknowledged as a promising solution for monitoring road conditions. Despite the many benefits they can bring to society, the growing demand ... -
Mechanisms by which exercise promotes cognitive function in both depressed and non-depressed individuals
(2017-12-01)Major depressive disorder (MDD) is a debilitating disease characterized by low mood, memory deficits, poor sleep quality and alterations in biochemical markers associated with neuroplasticity. Less than half of MDD patients ... -
A method to detect and represent temporal patterns from time series data and its application for analysis of physiological data streams
(2020-03-01)In critical care, complex systems and sensors continuously monitor patients’ physiological features such as heart rate, respiratory rate thus generating significant amounts of data every second. This results to more than ... -
A mixed-method approach to analyze the robustness of natural language processing classifiers
(2021-04-01)Natural language processing algorithms (NLP) have become an essential approach for processing large amounts of textual information with applications such as spam, phishing and content moderation. Malicious actors can craft ... -
The modification of fuel cell-based breath alcohol sensor materials to improve water retention of sensing performance
(2016-03-01)Fuel cell based breath alcohol sensors (BrASs) are one of the most important tools used by law enforcement today. While these devices are used globally, they all suffer from a common deficiency: reliance on water. The ... -
A modular interface framework for multimodal annotations and visualizations in Human-AI collaboration
(2021-07-01)Modular is a web-based annotation, visualization, and inference software plat-form for computational language and vision research. The platform enables researchers to set up an interface for efficiently annotating language ... -
Molecular dynamics simulations and neural network solutions for applications in biophysics
(2022-12-01)As computing resources evolved and became more accessible over time, much of scientific research shifted towards utilizing computational techniques. In particular, biophysics is a field of science that has continually ... -
Monolayer terpyridyl metal complexes for high-efficiency electrochromic materials
(2021-08-01)Electrochromic materials (ECMs) can change their color with changes of applied electrochemical potential. Currently, the use of ECMs in the industry is limited to mainly inorganic metal oxides, conjugated conducting polymers, ... -
Muscle fatigue and other factors influencing forearm muscle activity
(2020-08-01)The wrist extensor muscles of the forearm exhibit relatively greater muscle activity than the wrist flexors during most hand/wrist tasks. Since the extensors operate at a greater percentage of maximum to balance wrist joint ... -
Nanostructured materials for photovoltaics and microwave electronics: methods and applications
(2017-04-01)Nanoscale particles and thin layers are today used for a variety of applications to make industrial products lighter, stronger or more conductive. This study investigates synthesis, characterization and application of ... -
On deep learning in physics
(2021-04-01)Machine learning, and most notably deep neural networks, have seen unprecedented success in recent years due to their ability to learn complex nonlinear mappings by ingesting large amounts of data through the process of ... -
On the potential of intent-based access control (IBAC) in preventing insider threats
(2015-11-01)Existing access control mechanisms are based on the concepts of identity enrollment and recognition, and assume that recognized identity is synonymous with ethical actions. However, statistics over the years show that the ... -
Opportunities for the deep neural network method of solving partial differential equations in the computational study of biomolecules driven through periodic geometries
(2022-08-01)As deep learning emerged in the 2010s to become a groundbreaking technology in machine vision and natural language processing, it also ushered in many new algorithms for use in scientific research. Among these is the neural ...