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Physical Sciences and Mathematics Commons™
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Full-Text Articles in Physical Sciences and Mathematics
Evaluating An Educational Cybersecurity Playable Case Study, Tanner West Johnson
Evaluating An Educational Cybersecurity Playable Case Study, Tanner West Johnson
Theses and Dissertations
The realities of cyberattacks have become more and more prevalent in the world today. Due to the growing number of these attacks, the need for highly trained individuals has also increased. Because of a shortage of qualified candidates for these positions, there is an increasing need for cybersecurity education within high schools and universities. In this thesis, I discuss the development and evaluation of Cybermatics, an educational simulation, or playable case study, designed to help students learn and develop skills within the cybersecurity discipline.
This playable case study was designed to allow students to gain an understanding of the field …
A Discrete-Event Simulation Approach For Modeling Human Body Glucose Metabolism, Buket Aydas
A Discrete-Event Simulation Approach For Modeling Human Body Glucose Metabolism, Buket Aydas
Theses and Dissertations
This dissertation describes CarbMetSim (Carbohydrate Metabolism Simulator), a discrete-event simulator that tracks the blood glucose level of a person in response to a timed sequence of diet and exercise activities. CarbMetSim implements broader aspects of carbohydrate metabolism in human beings with the objective of capturing the average impact of various diet/exercise activities on the blood glucose level. Key organs (stomach, intestine, portal vein, liver, kidney, muscles, adipose tissue, brain and heart) are implemented to the extent necessary to capture their impact on the production and consumption of glucose. Key metabolic pathways (glucose oxidation, glycolysis and gluconeogenesis) are accounted for by …
Optimal Design Of Green Roofs: Mathematical Model And Experimental Evidence, Jing Hong
Optimal Design Of Green Roofs: Mathematical Model And Experimental Evidence, Jing Hong
Theses and Dissertations
Green roofs ease the heat island effect and decrease stormwater runoff. Optimizing green roof design helps achieve these goals more efficiently. This dissertation proposes energy and mass models of green roofs and validates them through experimental evidence.
The energy and mass transfer models proposed in this dissertation can be programmed in any simulation tools, and benefits architects and engineers optimizing their green roof design. The mathematical models of green roofs were validated by the measured soil temperature and water content of the Golda Meir Library green roof.
Using energy and mass balance models, this research found the effects of the …
Water Dynamics And The Effect Of Static And Alternating Electric Fields, Mohammadmahdi Shafiei Alavijeh
Water Dynamics And The Effect Of Static And Alternating Electric Fields, Mohammadmahdi Shafiei Alavijeh
Theses and Dissertations
Having a net dipole moment, water molecules tend to align with an external electric field. The re-orientation of water molecules to align with the field direction can result in structural and dynamic changes in liquid water. Studying these changes can help us to understand the role of an E-field in many biological systems, chemical reactions, and many technological advancements.
In short, the application of static electric fields causes molecules to stay aligned with the field, so, fewer hydrogen bonds break, and molecules have slower dynamics. This type of field can be used when the mobility of water molecules needs to …
Comparison Of The Performance Of Simple Linear Regression And Quantile Regression With Non-Normal Data: A Simulation Study, Marjorie Howard
Comparison Of The Performance Of Simple Linear Regression And Quantile Regression With Non-Normal Data: A Simulation Study, Marjorie Howard
Theses and Dissertations
Linear regression is a widely used method for analysis that is well understood across a wide variety of disciplines. In order to use linear regression, a number of assumptions must be met. These assumptions, specifically normality and homoscedasticity of the error distribution can at best be met only approximately with real data. Quantile regression requires fewer assumptions, which offers a potential advantage over linear regression. In this simulation study, we compare the performance of linear (least squares) regression to quantile regression when these assumptions are violated, in order to investigate under what conditions quantile regression becomes the more advantageous method …