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识别大砍刀和武士刀在骨头上留下的砍痕之间的差异:一项初步研究。

Identifying Differences Between Cut Marks Made on Bone by a Machete and Katana: A Pilot Study.

作者信息

McCardle Penny, Stojanovski Elizabeth

机构信息

Faculty of Health, Department of Forensic Medicine Newcastle, University of Newcastle, University Drive, Callighan, NSW 2308, Australia.

School of Mathematical and Physical Sciences, University of Newcastle, University Drive, Callighan, NSW 2308, Australia.

出版信息

J Forensic Sci. 2018 Nov;63(6):1813-1818. doi: 10.1111/1556-4029.13754. Epub 2018 Feb 21.

Abstract

The aim of this research was to identify characteristics specific to a machete and katana on three different bone types. One machete and two katanas were used to produce cut marks on Sus scrofa rib, flat and long bones. Fifty-nine cuts were produced by the katanas and 38 by the machete. The presence of flaking, feathering, peeling, micropeeling, chattering, microcurvature, scoop defect, and exit notch was noted, and bivariate associations between each characteristic and weapon type were assessed using Pearson's chi-square tests for independence and logistic regression models developed. Significant predictors for machete cut marks are scoop defect for rib bones (correct classification 93%), micropeeling in flat bones, chattering on flat and long bones (all p < 001) and for the katana, microcurvature (p < 004) and exit notch on flat and long bones (p < 001; correct classification 96% and 100%, respectively). The identified bivariate associations and final logistic regression models may be utilized in forensic investigations when identifying hacking trauma.

摘要

本研究的目的是确定弯刀和武士刀在三种不同骨头上留下痕迹的特定特征。使用一把弯刀和两把武士刀在猪的肋骨、扁骨和长骨上制造切割痕迹。武士刀制造了59处切割痕迹,弯刀制造了38处。记录了剥落、羽状、剥离、微剥离、震颤、微曲率、铲状缺损和出口缺口的存在情况,并使用Pearson卡方独立性检验和开发的逻辑回归模型评估了每种特征与武器类型之间的双变量关联。弯刀切割痕迹的显著预测因素是肋骨上的铲状缺损(正确分类率93%)、扁骨上的微剥离、扁骨和长骨上的震颤(均p<0.01);对于武士刀,微曲率(p<0.04)以及扁骨和长骨上的出口缺口(p<0.01;正确分类率分别为96%和100%)。在法医调查中识别砍击创伤时,所确定的双变量关联和最终逻辑回归模型可能会被用到。

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