akapet00/phd-qualifying-exam

Qualification doctoral exam main LaTeX and supplementary files, and code.

PhD Qualifying Exam

This repository contains the code I used for generating figures and performing analysis that pertains to my PhD qualifying exam.

To reproduce the results, easiest way is to create a local environment by using conda as

conda create --name phd-qualifying-exam python=3.9.12

and, inside the environment, within code repository, run the following command

pip install -r requirements.txt

to install all dependencies listed in requirements.txt.

Contents

Directory	Subdirectory/Contents	Description
LaTeX		All tex files and the list of references used for writing of the PhD qualifying exam.
artwork		All visuals used for writing the PhD qualifying exam. The rest of the figures not listed below are generated by using Python scripts of the same name in code directory. Note: Two figures, Diao2020Assessment_figure2.png and Kapetanovic2022Assessment_figure2.pdf, have been taken from Diao et al 2020 Phys. Med. Biol. 65 224001 and Kapetanović et al 2022 IEEE J. Electromagn. radiofrequency Microw. Med. Early Access, respectively.
1	averaging_surface.drawio	Drawio file used for creating averaging_surface.a.pdf and averaging_surface.b.pdf figures which depict ontrol surfaces for averaging on the multi-layer tissue-equivalent block model from 3-D point of view and later point of view, respectively.
2	em_spectrum.tex	Tikz file for the diagram of electromagnetic spectrum distribution as a function of wavelengths.
3	em_waves.tex	Tikz file for the visual representation of a propagating plane electromagnetic wave in classical electrodynamics.
4	exposed_tissue_volume.drawio	Drawio file used for creating exposed_tissue_volume.pdf which depicts exposed 10-g cubic volume for the assessment of the local exposure to electromagnetic fields.
code		Python files used for generating most of the figures within artwork directory. Each Python file is used for a single figure of the same name.
1	cylindrical_model.py	Cylindrical model with radius set to 5 cm.
2	cylindrical_surface.py	Cylindrical averaging surface of 4 squared centimeters on the surface of the cylindrical model.
3	pd_decay.py	Power density as a function of frequency.
4	penetration_depth.py	Power transmission coefficient and power penetration depth into dry skin as functions of frequency.
5	reference_levels.py	Reference levels for occupational exposure and general public averaged over 6-min interval at the 6-300 range.
6	research_compilation_2021.py	Papers published in 2021 related to research on bioeffects of radiofrequency fields and/or mobile communications Compiled from the database of publications at emf-portal.
7	research_compilation.py	Papers published over years from 1950 to 2021 related to research on bioeffects of radiofrequency fields and/or mobile communications. Compiled from the database of publications at emf-portal.
8	sar_decay.py	Specific absorption rate as a function of depth into the homogeneous block of tissue with dielectric properties of dry skin.
9	spherical_model.py	Spherical model with radius set to 5 cm.
10	spherical_surface.py	Spherical averaging surface of 4 squared centimeters on the surface of the spherical model.
11	utils.py	Auxiliary functions module.
data		Datasets storage.
1	paper_count.ods	The dataset containg the number of papers by year, from 1950 onward, classified as experimental, epidemiological, dosimetric/technical or review studies related to the bioeffects of electromagnetic fields. Note: In order to be able to read the .ods file which is used for storing the data with pandas, odfpy should be installed.
2	tissue_properties.csv	The dataset containg the frequency, conductivity, relative permittivity, loss tangetn and penetration depth for different tissues at the 1-100 GHz frequency range.
defense		Presentation files and the presentation for the defense of the PhD qualifying exam.
docs		Documentation related to the application for the PhD qualifying exam.

License

MIT except for Diao2020Assessment_figure2.png and Kapetanovic2022Assessment_figure2.pdf files within artwork directory which are protected under CC-BY license protection.