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          <dc:identifier>https://hdl.handle.net/2286/R.2.N.201912</dc:identifier>
                  <dc:rights>http://rightsstatements.org/vocab/InC/1.0/</dc:rights>
          <dc:rights>http://creativecommons.org/licenses/by-nc-sa/4.0</dc:rights>
                  <dc:date>2025-05</dc:date>
          <dc:date>T23:59:59</dc:date>
                  <dc:format>6 pages</dc:format>
                  <dc:contributor>Cortes, Alexander</dc:contributor>
          <dc:contributor>Harris, Jacob</dc:contributor>
          <dc:contributor>Bolhofner, Katelyn</dc:contributor>
          <dc:contributor>Barrett, The Honors College</dc:contributor>
          <dc:contributor>School of Interdisciplinary Forensics</dc:contributor>
                  <dc:description>Bone surface modifications (BSMs) due to sharp-edged tools can yield important
forensic data regarding blade type. For this pilot study, defleshed pig femur fragments
were examined under various lighting, photographed with a Dino-Lite digital
microscope, and 3D scanned with a Keyence VR-6000 profilometer. Utilizing the VR-
3000 eight morphometric variables were extracted: maximum depth, five line average
depth, maximum cross sectional angle, five line average angle, length, width, surface
area, and volume for every mark. A Bayesian classification model, following Harris et al.
2017, was trained on 85 percent of the data and tested with the rest of the 15 percent
(five serrated-edge, five straight-edge, five crocodile-feeding marks). The model
misclassified exactly one mark in each category, yielding 80 percent accuracy overall.
These results demonstrate the value of quantitative 3D morphometrics, combined with
probabilistic inference, to build upon and potentially replace qualitative, vision based
estimates in forensic sharp force trauma analysis.</dc:description>
                  <dc:title>Can Bone Surface Modifications from straight and serrated metal blades be accurately
differentiated?</dc:title></oai_dc:dc></metadata></record></GetRecord></OAI-PMH>
