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The full abstract for this thesis is available in the body of the thesis, and will be available when the embargo expires.
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The attached files are supplements to the author’s doctoral dissertation at https://circle.library.ubc.ca/handle/2429/73446.
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The attached files are supplements to the author’s doctoral dissertation at https://circle.library.ubc.ca/handle/2429/73156
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The full abstract for this thesis is available in the body of the thesis, and will be available when the embargo expires.
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This is a collection of Matlab functions and scripts, designed to aid the processing and analysis of high-resoltution mass spectrometry data from real-time breath analysis measurements. Details on the usage of the functions can be found in the individual help sections, as well as in appendix A of the dissertation "On-line Breath Analysis with Ambient High-Resolution Mass Spectrometry" by Martin Thomas Gaugg (2019), available on the ETH Research Collection.,MATLAB 2018a,
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The attached file is a supplement to the author's master's thesis at https://circle.library.ubc.ca/handle/2429/68122
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Demonstration of the 200fps imaging capabilities of our digital ultrasound probe (LightProbe)
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The main goal of our study is to develop a realistic mechanistic model of the effect of ionizing radiation on DNA in mammalian cells. We consider a population of cells structured by the number of DNA double strand breaks due to radiation. Using the system of linear differential equation, the model describes the evolution of the irradiated population of cells in time. The work is in three parts. First, we consider the effect of a single dose of radiation, while in the second part we work on the model parameter estimation using Nelder–Mead simplex algorithm which allows us to relate the clinically useful parameters of the LQ relation to aspects of cellular activity that can be manipulated experimentally. In the third part, we deal with cell killing effects of fractioned doses of radiation. Using MATLAB, we observed the cell survival fractions can be well approximated by the Linear–Quadratic relation and also show fewer cell will die if the dose is fractionated in two or more fractions.
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