<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-09-21T08:30:06Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/115646" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/115646</identifier><datestamp>2022-01-13T07:53:53Z</datestamp><setSpec>com_1721.1_7582</setSpec><setSpec>com_1721.1_7581</setSpec><setSpec>col_1721.1_131023</setSpec></header><metadata><dim:dim xmlns:dim="http://www.dspace.org/xmlns/dspace/dim" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.dspace.org/xmlns/dspace/dim http://www.dspace.org/schema/dim.xsd">
   <dim:field mdschema="dc" element="contributor" qualifier="advisor" lang="en_US">Wesley Harris.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Atsaves, Louis</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Massachusetts Institute of Technology. Department of Aeronautics and Astronautics.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Massachusetts Institute of Technology. Department of Aeronautics and Astronautics</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2018-05-23T16:28:31Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2018-05-23T16:28:31Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2018</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2018</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">http://hdl.handle.net/1721.1/115646</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">1036984727</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis: S.M., Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, 2018.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Cataloged from PDF version of thesis.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (page 39).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">Sickle-cell diseased persons suffer finite pain episodes (luring their lifetime, which are termed sickle cell crises. Using a sickle cell blood flow model, we mathematically demonstrate that the onset of a sickle cell crisis is chaotic. We further show that sickle cell crises may be mitigated by manipulating certain physiological parameters, namely the partial pressure of oxygen at 50% hemoglobin ([mathematical formula]%) and the kinetic dissociation rate of hemoglobin (kub) These physiological parameters control the chaotic nature of sickle cell crises and have the ability to transfer a person from a crisis state to a non-crisis state. We determine that sickle cell crises may only be mitigated within a critical time period (0 &lt;/- t &lt;/- 2.5hrs) after the onset of a sickle cell crisis. Based on our analysis, we classify three stages of a sickle cell crisis as weak chaos, strong chaos, and hyperchaos; which range from light to intense pain. Drugs may be developed, based on our analysis, to target these physiological parameters and mitigate sickle cell crises at its onset.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Louis Atsaves.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">S.M.</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">39 pages</dim:field>
   <dim:field mdschema="dc" element="language" qualifier="iso" lang="en_US">eng</dim:field>
   <dim:field mdschema="dc" element="publisher" lang="en_US">Massachusetts Institute of Technology</dim:field>
   <dim:field mdschema="dc" element="rights" lang="en_US">MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.</dim:field>
   <dim:field mdschema="dc" element="rights" qualifier="uri" lang="en_US">http://dspace.mit.edu/handle/1721.1/7582</dim:field>
   <dim:field mdschema="dc" element="subject" lang="en_US">Aeronautics and Astronautics.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">Mitigation of sickle cell crises using chaos-based analysis</dim:field>
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   	&lt;Title>Mitigation of sickle cell crises using chaos-based analysis&lt;/Title>
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   	&lt;PublicationDate>2018&lt;/PublicationDate>
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        	&lt;DisplayName>Atsaves, Louis&lt;/DisplayName>
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    &lt;Keyword>Aeronautics and Astronautics.&lt;/Keyword>
   	&lt;Abstract>Sickle-cell diseased persons suffer finite pain episodes (luring their lifetime, which are termed sickle cell crises. Using a sickle cell blood flow model, we mathematically demonstrate that the onset of a sickle cell crisis is chaotic. We further show that sickle cell crises may be mitigated by manipulating certain physiological parameters, namely the partial pressure of oxygen at 50% hemoglobin ([mathematical formula]%) and the kinetic dissociation rate of hemoglobin (kub) These physiological parameters control the chaotic nature of sickle cell crises and have the ability to transfer a person from a crisis state to a non-crisis state. We determine that sickle cell crises may only be mitigated within a critical time period (0 &amp;lt;/- t &amp;lt;/- 2.5hrs) after the onset of a sickle cell crisis. Based on our analysis, we classify three stages of a sickle cell crisis as weak chaos, strong chaos, and hyperchaos; which range from light to intense pain. Drugs may be developed, based on our analysis, to target these physiological parameters and mitigate sickle cell crises at its onset.&lt;/Abstract>
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