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Pi Mu Epsilon - Mathematical Association of America

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Thursday MAA Session #7 August 2, 2012<br />

3:20–3:35<br />

CO - Mediated Sickle Cell Polymer Melting<br />

Crystal Bennett<br />

North Carolina Agricultural & Technical State University<br />

Sickle cell anemia is a disorder caused by a mutation in DNA that replaces the nucleic acid Glutamic<br />

with Valine. This replacement causes a change in the characteristics <strong>of</strong> hemoglobin that<br />

allows the monomers, the simplest units <strong>of</strong> chemically binding molecules, to stick together. These<br />

chains <strong>of</strong> monomers, called polymers, distort the shape and properties <strong>of</strong> the red blood cell. The<br />

malformed cells do not efficiently pass through capillaries or transport oxygen to the bodys tissues.<br />

In order to make these cells more effective, the polymers must be broken apart. The process<br />

<strong>of</strong> breaking polymers apart is called melting. In the referenced study, the melting was induced<br />

by immersing the polymers in a buffer solution containing carbon monoxide. The mathematical<br />

model <strong>of</strong> this process was produced in a separate study. The purpose <strong>of</strong> this paper is to analyze<br />

and reproduce the current mathematical model using various computational and numerical tools.<br />

3:40–3:55<br />

Analysis <strong>of</strong> Spatio-Temporal Mapping<br />

Lindsay Christie<br />

Clarkson University<br />

Spatio-temporal mapping (STM) is a two-dimensional diagram which allows a user to visualize<br />

a series <strong>of</strong> movements over a spatially moving field. STM can be utilized to analyze several<br />

biological applications, including but not limited to, gastrointestinal motility. We use image decomposition<br />

<strong>of</strong> the ST maps to fully understand the frequency <strong>of</strong> the intestinal contractions that<br />

occur within Danio rerio, also known as zebrafish. In addition, we can use STMs in order to create<br />

s<strong>of</strong>tware that predicts valuable information such as the velocity and duration <strong>of</strong> each individual<br />

contraction. This can help accelerate future research pertaining to the origin <strong>of</strong> common digestive<br />

diseases and potential cures.<br />

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