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<export-example>
  <doc>
    <id>6381</id>
    <completedYear>2017</completedYear>
    <publishedYear/>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>reportzib</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>2017-05-02</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Uncertainty in Temperature-Based Determination of Time of Death</title>
    <abstract language="eng">Temperature-based estimation of time of death (ToD) can be per-&#13;
formed either with the help of simple phenomenological models of corpse&#13;
cooling or with detailed mechanistic (thermodynamic) heat transfer mod-&#13;
els. The latter are much more complex, but allow a higher accuracy of&#13;
ToD estimation as in principle all relevant cooling mechanisms can be&#13;
taken into account.&#13;
The potentially higher accuracy depends on the accuracy of tissue and&#13;
environmental parameters as well as on the geometric resolution. We in-&#13;
vestigate the impact of parameter variations and geometry representation&#13;
on the estimated ToD based on a highly detailed 3D corpse model, that&#13;
has been segmented and geometrically reconstructed from a computed to-&#13;
mography (CT) data set, differentiating various organs and tissue types.&#13;
From that we identify the most crucial parameters to measure or estimate,&#13;
and obtain a local uncertainty quantifcation for the ToD.</abstract>
    <identifier type="issn">1438-0064</identifier>
    <identifier type="urn">urn:nbn:de:0297-zib-63818</identifier>
    <enrichment key="SourceTitle">Heat and Mass Transfer, DOI 10.1007/s0023</enrichment>
    <submitter>Bodo Erdmann</submitter>
    <author>Martin Weiser</author>
    <author>Bodo Erdmann</author>
    <author>Sebastian Schenkl</author>
    <author>Holger Muggenthaler</author>
    <author>Michael Hubig</author>
    <author>Gita Mall</author>
    <author>Stefan Zachow</author>
    <series>
      <title>ZIB-Report</title>
      <number>17-18</number>
    </series>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>forensic medicine</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>determination of time of death</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>heat transfer equation</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>sensitivity i.r.t. thermal parameters</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>sensitivity i.r.t. geometric resolution</value>
    </subject>
    <collection role="msc" number="35-XX">PARTIAL DIFFERENTIAL EQUATIONS</collection>
    <collection role="msc" number="92-XX">BIOLOGY AND OTHER NATURAL SCIENCES</collection>
    <collection role="institutes" number="num">Numerical Mathematics</collection>
    <collection role="institutes" number="vis">Visual Data Analysis</collection>
    <collection role="institutes" number="compmed">Computational Medicine</collection>
    <collection role="institutes" number="medplan">Therapy Planning</collection>
    <collection role="persons" number="weiser">Weiser, Martin</collection>
    <collection role="persons" number="zachow">Zachow, Stefan</collection>
    <collection role="projects" number="UJena-Forensic">UJena-Forensic</collection>
    <collection role="institutes" number="VDcC">Visual and Data-centric Computing</collection>
    <file>https://opus4.kobv.de/opus4-zib/files/6381/ZR-17-18.pdf</file>
  </doc>
</export-example>
