Distinguishing between Human and Non-human bones: Histometric metod for forensic antropology

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F05%3A00031198" target="_blank" >RIV/00216224:14310/05:00031198 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Distinguishing between Human and Non-human bones: Histometric metod for forensic antropology

Original language description

In order to develop an identification key for distinguishing between human and nonhuman osteological samples, bone structure of several animal taxa was studied using quantitative microscopy. Both domestic and wild species were included in the sample, analysed at both micrometric (13 variables) and macrometric (3 variables) scales. The data was first used to evaluate inter- and intraspecies diversity. Least determinative parameters were then eliminated via stepwise discriminant function analysis. The most discriminating microproperties of compact bone tissue were: number of osteons in 1 mm2, maximum osteon diameter, maximum diameter and area of Haversian canal, and mid-shaft femoral cortical thickness. Two different equations for discriminating betweenhuman and non-human bone are formulated. The 1st type uses only histometric properties of bone structure. The 2nd type of equations combines histometric measurement and cortical thickness.

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

AC - Archaeology, anthropology, ethnology

OECD FORD branch

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Project

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Continuities

N - Vyzkumna aktivita podporovana z neverejnych zdroju

Publication year

2005

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Anthropologie

ISSN

0323-1119

e-ISSN

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Volume of the periodical

XLIII

Issue of the periodical within the volume

1

Country of publishing house

CZ - CZECH REPUBLIC

Number of pages

8

Pages from-to

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UT code for WoS article

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EID of the result in the Scopus database

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