Dead weight: validation of mass regression equations on experimentally burned skeletal remains to assess skeleton completeness

Bibliographic Details
Main Author: Gonçalves, David
Publication Date: 2017
Other Authors: Coelho, João d'Oliveira, Amarante, Ana, Makhoul, Calil, Oliveira-Santos, Inês, Navega, David, Cunha, Eugénia
Format: Article
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: https://hdl.handle.net/10316/44470
https://doi.org/10.1016/j.scijus.2017.07.003
Summary: In very fragmentary remains, the thorough inventory of skeletal elements is often impossible to accomplish. Mass has been used instead to assess the completeness of the skeleton. Two different mass-based methods of assessing skeleton completeness were tested on a sample of experimentally burned skeletons with the objective of determining which of them is more reliable. The first method was based on a simple comparison of the mass of each individual skeleton with previously published mass references. The second method was based on mass linear regressions from individual bones to estimate complete skeleton mass. The clavicle, humerus, femur, patella, metacarpal, metatarsal and tarsal bones were used. The sample was composed of 20 experimentally burned skeletons from 10 males and 10 females with ages-at-death between 68 and 90 years old. Results demonstrated that the regression approach is more objective and more reliable than the reference comparison approach even though not all bones provided satisfactory estimations of the complete skeleton mass. The femur, humerus and patella provided the best performances among the individual bones. The estimations based on the latter had root mean squared errors (RMSE) smaller than 300 g. Results demonstrated that the regression approach is quite promising although the patella was the only reasonable predictor expected to survive sufficiently intact to a burning event at high temperatures. The mass comparison approach has the advantage of not depending on the preservation of individual bones. Whenever bones are intact though, the application of mass regressions should be preferentially used because it is less subjective.
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spelling Dead weight: validation of mass regression equations on experimentally burned skeletal remains to assess skeleton completenessIn very fragmentary remains, the thorough inventory of skeletal elements is often impossible to accomplish. Mass has been used instead to assess the completeness of the skeleton. Two different mass-based methods of assessing skeleton completeness were tested on a sample of experimentally burned skeletons with the objective of determining which of them is more reliable. The first method was based on a simple comparison of the mass of each individual skeleton with previously published mass references. The second method was based on mass linear regressions from individual bones to estimate complete skeleton mass. The clavicle, humerus, femur, patella, metacarpal, metatarsal and tarsal bones were used. The sample was composed of 20 experimentally burned skeletons from 10 males and 10 females with ages-at-death between 68 and 90 years old. Results demonstrated that the regression approach is more objective and more reliable than the reference comparison approach even though not all bones provided satisfactory estimations of the complete skeleton mass. The femur, humerus and patella provided the best performances among the individual bones. The estimations based on the latter had root mean squared errors (RMSE) smaller than 300 g. Results demonstrated that the regression approach is quite promising although the patella was the only reasonable predictor expected to survive sufficiently intact to a burning event at high temperatures. The mass comparison approach has the advantage of not depending on the preservation of individual bones. Whenever bones are intact though, the application of mass regressions should be preferentially used because it is less subjective.2017info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttps://hdl.handle.net/10316/44470https://hdl.handle.net/10316/44470https://doi.org/10.1016/j.scijus.2017.07.003engGonçalves, DavidCoelho, João d'OliveiraAmarante, AnaMakhoul, CalilOliveira-Santos, InêsNavega, DavidCunha, Eugéniainfo:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2021-09-23T09:13:44Zoai:estudogeral.uc.pt:10316/44470Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-29T05:09:37.538916Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Dead weight: validation of mass regression equations on experimentally burned skeletal remains to assess skeleton completeness
title Dead weight: validation of mass regression equations on experimentally burned skeletal remains to assess skeleton completeness
spellingShingle Dead weight: validation of mass regression equations on experimentally burned skeletal remains to assess skeleton completeness
Gonçalves, David
title_short Dead weight: validation of mass regression equations on experimentally burned skeletal remains to assess skeleton completeness
title_full Dead weight: validation of mass regression equations on experimentally burned skeletal remains to assess skeleton completeness
title_fullStr Dead weight: validation of mass regression equations on experimentally burned skeletal remains to assess skeleton completeness
title_full_unstemmed Dead weight: validation of mass regression equations on experimentally burned skeletal remains to assess skeleton completeness
title_sort Dead weight: validation of mass regression equations on experimentally burned skeletal remains to assess skeleton completeness
author Gonçalves, David
author_facet Gonçalves, David
Coelho, João d'Oliveira
Amarante, Ana
Makhoul, Calil
Oliveira-Santos, Inês
Navega, David
Cunha, Eugénia
author_role author
author2 Coelho, João d'Oliveira
Amarante, Ana
Makhoul, Calil
Oliveira-Santos, Inês
Navega, David
Cunha, Eugénia
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv Gonçalves, David
Coelho, João d'Oliveira
Amarante, Ana
Makhoul, Calil
Oliveira-Santos, Inês
Navega, David
Cunha, Eugénia
description In very fragmentary remains, the thorough inventory of skeletal elements is often impossible to accomplish. Mass has been used instead to assess the completeness of the skeleton. Two different mass-based methods of assessing skeleton completeness were tested on a sample of experimentally burned skeletons with the objective of determining which of them is more reliable. The first method was based on a simple comparison of the mass of each individual skeleton with previously published mass references. The second method was based on mass linear regressions from individual bones to estimate complete skeleton mass. The clavicle, humerus, femur, patella, metacarpal, metatarsal and tarsal bones were used. The sample was composed of 20 experimentally burned skeletons from 10 males and 10 females with ages-at-death between 68 and 90 years old. Results demonstrated that the regression approach is more objective and more reliable than the reference comparison approach even though not all bones provided satisfactory estimations of the complete skeleton mass. The femur, humerus and patella provided the best performances among the individual bones. The estimations based on the latter had root mean squared errors (RMSE) smaller than 300 g. Results demonstrated that the regression approach is quite promising although the patella was the only reasonable predictor expected to survive sufficiently intact to a burning event at high temperatures. The mass comparison approach has the advantage of not depending on the preservation of individual bones. Whenever bones are intact though, the application of mass regressions should be preferentially used because it is less subjective.
publishDate 2017
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https://doi.org/10.1016/j.scijus.2017.07.003
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https://doi.org/10.1016/j.scijus.2017.07.003
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