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Skip to Search Results- 1Burden, Michael P
- 1Carey, Jason P.
- 1Corbel, Stephane
- 1Eghbali, Sara
- 1Elezzabi, Muhammad A.
- 1Fender, Rob P.
- 21Graduate and Postdoctoral Studies (GPS), Faculty of
- 21Graduate and Postdoctoral Studies (GPS), Faculty of /Theses and Dissertations
- 1Physics, Department of
- 1Physics, Department of/Conference/Workshop Presentations (Physics)
- 1Mechanical Engineering, Department of
- 1Mechanical Engineering, Department of/Journal Articles (Mechanical Engineering)
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Fall 2015
Optical-resolution photoacoustic microscopy (OR-PAM) is a novel imaging technology providing high micron-scale lateral spatial resolution to visualize superficial structures in vivo with optical-absorption contrast. The term “optical resolution” is used since the lateral resolution of the system...
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Fall 2016
In this thesis, we present approximation algorithms for various NP-hard vehicle routing problems, as well as for a related maximum group coverage problem. Our main contribution is a framework to build good constant-factor approximation algorithms for variants of the multi-depot $k$-travelling...
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Spring 2023
In this thesis, we present Approximation Schemes for the Min Sum k Clustering problem on a number of classes of graph metrics. In Min Sum k Clustering problem introduced by Sahni and Gonzalez [22] in 1976, given a graph G(V, E) with metric edge costs and parameter k, we are asked to partition V...
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Chronic Fatigue Mechanisms in Autoimmune Diseases: Lessons from Primary Biliary Cholangitis and Systemic Sclerosis
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Systemic sclerosis (SSc) is an autoimmune disease affecting the body's connective tissues, resulting in progressive fibrosis and vasculopathy. In some cases, individuals with SSc may also develop primary biliary cholangitis (PBC), another autoimmune disease characterized by damage to their...
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Fall 2014
The detection and identification of biomarkers and metabolites in the low mass range has become prominent in clinical diagnoses, disease monitoring and for tracking drug interactions. Laser desorption/ionization techniques have been applied as a powerful tool in this field because of their speed...
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Development of a Model using Machine Learning Intended to be Embedded in a Wearable Device to Detect Muscle Fatigue based on sEMG Data Associated with a Sustained Single 80% Maximum Voluntary Contraction
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Background: Muscle fatigue is the progressive reduction in a muscle's ability to contract and exert force when performing a sustained task. Muscle fatigue may prevent the task from being complete and increase the risk of injury. Eventually, the performance of individuals during athletic...
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Development of imaging-based techniques to examine signalling properties of channel catfish (Ictalurus punctatus) leukocyte immune-type receptors (IpLITRs)
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Cells of the innate immune system have the ability to rapidly detect and eliminate pathogens using surface-expressed immunoregulatory receptors that translate extracellular binding into effector functions such as degranulation, cytokine secretion, cell-mediated cytotoxicity, and phagocytosis....
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Fall 2010
Structural brain changes occur in a complex manner throughout life, and understanding healthy brain development is crucial for the study of brain abnormalities in various conditions. Diffusion tensor imaging (DTI) is an advanced magnetic resonance imaging technique that provides information about...
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Efficient algorithms for least squares wave equation migration and source signature estimation
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Estimating accurate images of the subsurface is one of the end products of seismic data processing. Numerical solutions to the wave equation allow designing linearized forward operators. The adjoint of the linearized forward operator is used to image the interior of the earth. The adjoint...
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Spring 2011
In this thesis, we present our work on two combinatorial optimization problems. The first problem is the Bandpass problem, and we designed a linear time exact algorithm for the 3-column case. The other work is on the Complementary Maximal Strip Recovery problem, for which we designed a...