<rdf:RDF xmlns:rdf="http://www.openarchives.org/OAI/2.0/rdf/" xmlns:ow="http://www.ontoweb.org/ontology/1#" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:ds="http://dspace.org/ds/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/rdf/ http://www.openarchives.org/OAI/2.0/rdf.xsd">
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      <dc:title>Transitioning from conventional to digital methods for estimating time since death: a multi-parameter forensic software</dc:title>
      <dc:creator>Scendoni, Roberto</dc:creator>
      <dc:creator>Tomassini, Luca</dc:creator>
      <dc:creator>Bianchini, Giovanni</dc:creator>
      <dc:creator>Baldelli, Laura</dc:creator>
      <dc:creator>Fedeli, Piergiorgio</dc:creator>
      <dc:creator>Cingolani, Mariano</dc:creator>
      <dc:subject>Post-mortem interval</dc:subject>
      <dc:subject>Digital systems</dc:subject>
      <dc:subject>Software</dc:subject>
      <dc:description>Introduction: In forensic pathology, estimating the postmortem interval (PMI) is crucial for legal investigations,&#xd;
particularly in homicide cases. Traditional methods for determining the time since death offer only estimations,&#xd;
and formulas related to solute concentrations in vitreous humor vary, complicating the process.&#xd;
To present a novel software solution that integrates body temperature data and solute concentrations in the&#xd;
vitreous humor (potassium, albumin, hypoxanthine, and urea).&#xd;
Methods: The software combines the Henssge method with current knowledge of solute concentration evolution&#xd;
in the vitreous humor post-death. Formulas derived from the scientific literature were implemented in a Javabased program. The program features a intuitive interface and is compatible with Windows and MacOS. Functional and non-functional requirements were addressed, ensuring quick data input, low resource consumption,&#xd;
and easy interpretation of results.&#xd;
Results: The software provides more precise PMI estimations by unifying the Henssge method with regression&#xd;
equations from existing literature. This integration enhances usability for practical applications and academic&#xd;
research.&#xd;
Conclusion: This study introduces a cohesive software solution that integrates traditional and modern methodologies for PMI estimation. The program’s comprehensive approach and intuitive design promise to improve&#xd;
accuracy and facilitate broader application in forensic investigations.</dc:description>
      <dc:date>2025-11-18T11:23:22Z</dc:date>
      <dc:date>2025-11-18T11:23:22Z</dc:date>
      <dc:date>2025-11</dc:date>
      <dc:type>journal article</dc:type>
      <dc:identifier>Scendoni, R., Tomassini, L., Bianchini, G., Baldelli, L., Fedeli, P., &amp; Cingolani, M. (2025). Transitioning from conventional to digital methods for estimating time since death: a multi-parameter forensic software. Journal of Forensic and Legal Medicine, 116(103009), 103009. https://doi.org/10.1016/j.jflm.2025.103009</dc:identifier>
      <dc:identifier>https://hdl.handle.net/10481/108063</dc:identifier>
      <dc:identifier>10.1016/j.jflm.2025.103009</dc:identifier>
      <dc:language>eng</dc:language>
      <dc:rights>http://creativecommons.org/licenses/by/4.0/</dc:rights>
      <dc:rights>open access</dc:rights>
      <dc:rights>Atribución 4.0 Internacional</dc:rights>
      <dc:publisher>Elsevier</dc:publisher>
   </ow:Publication>
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