Objective: The aim: To develop a set of forensic criteria for determining PMI on the basis of complex selective statistical data analysis of magnitude distributions of the wavelet-amplitude coefficients of VB polycrystalline films microscopic images.
Patients And Methods: Materials and methods: The object of study are polycrystalline films of VB, taken from 41 cadavers of both sexes aged from 37 to 79-year with pre-known time of death coming ranged from 3 to 36 h. Measuring the coordinate allocation meanings of parameters of polarization in the points of microscopic images was carried out at the location of the standard Stokes-polarimeter.
Results: Results: The magnitudes of statistical moments of the 1st-4th orders linearly vary within 36 hours. It was revealed that the data of time changes of the asymmetry and the excess are the most sensitive to necrotic changes in the polycrystalline structure of such samples.
Conclusion: Conclusions: The scale-selective approach provides an increase in the range of sensitivity up to 36 h and increase the accuracy of the PMI estimation up to 45 min.
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Int J Mol Sci
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Faculty of Sciences, Siedlce University, 3 Maja 54, 08-110 Siedlce, Poland.
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Beijing Key Laboratory of Construction-Tailorable Advanced Functional Materials and Green Applications Experimental Center of Advanced Materials, School of Materials Science and Engineering, Beijing Institute of Technology, Beijing 100081, China.
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JST-CREST, Saitama, Japan.
In this review, we present a new set of machine learning-based materials research methodologies for polycrystalline materials developed through the Core Research for Evolutionary Science and Technology project of the Japan Science and Technology Agency. We focus on the constituents of polycrystalline materials (i.e.
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