Documented skeletal collections in Greece: Composition, research, and future prospects

Nikita, Efthymia

doi:10.1002/ajpa.24050

Cited by 15 publications

(6 citation statements)

References 56 publications

(85 reference statements)

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“…Hence, discussions on ethical issues and legislation will certainly be addressed in the near future, opening up new avenues of research, and new ways of thinking about and addressing DCs. Some of the past and newly built DCs may find themselves the focus in such discussions [72][73][74][75][76][77][78][79][80][81].…”

Section: Profiling Documented Collections: Where When and Howmentioning

confidence: 99%

The Scientific Profiles of Documented Collections via Publication Data: Past, Present, and Future Directions in Forensic Anthropology

Cardoso

Campanacho

2022

Forensic Sciences

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Human osteological documented collections (DCs), also referred to as “identified collections”, are a valuable resource in biological and forensic anthropology, as they offer the possibility for hypothesis-driven research on sex and age-at-death estimation methods, human variability, and other morphometric-based parameters of individual identification. Consequently, they feature in many publications addressing the forensic sciences. The paper aims to explore the scientific profiles of DCs via publication using bibliometric data. The Dimensions databases were used to select the DC-related keywords in the title and abstracts of the publications. The search result analysis and extraction were conducted using VOSviewer. A total of 376 articles were found, published between 1969 and 2021 (November). The number of publications has increased over the years, specifically after 2011. The results show that most of the publications are associated with countries such as the United States and Portugal (the latter highlights the University of Coimbra), that the research tends to focus on human biological profiling (e.g., age, sex assessments), and that the journals with the highest numbers of publications were related to forensic sciences. This analysis shows a positive correlation between DC publications and the growth of forensic anthropology in recent years, with a slight shift towards the leading institutions that publish DC-based research. Hence, we can anticipate a change in the institutional leading profiles in the years to come.

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Section: Profiling Documented Collections: Where When and Howmentioning

confidence: 99%

The Scientific Profiles of Documented Collections via Publication Data: Past, Present, and Future Directions in Forensic Anthropology

Cardoso

Campanacho

2022

Forensic Sciences

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“…Two osteological collections originated in Portugal and are housed at the University of Coimbra: the 21st Century Identi ed Skeletal Collection (CEI/XXI) 38 and the Coimbra Identi ed Skeletal Collection (CISC) 39 . The third collection is the Heraklion Collection stored at the facilities of the Forensic Pathology Division of the Hellenic Ministry of Justice and Human Rights in Crete, Greece 40,41 . The fourth European collection is from Switzerland: the Simon Identi ed Skeletal Collection, housed at the Laboratory of Prehistoric Archaeology and Anthropology of the University of Geneva 42 .…”

Section: Methodsmentioning

confidence: 99%

The computational age-at-death estimation from 3D surface models of the adult pubic symphysis using data mining methods

Kotěrová

Stepanovsky

Buk

et al. 2022

Preprint

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Age-at-death estimation of adult skeletal remains is a key part of biological profile estimation, yet it remains problematic for several reasons. One of them may be the subjective nature of the evaluation of age-related changes, or the fact that the human eye is unable to detect all the relevant surface changes. We have several aims: 1) to validate already existing computer models for age estimation; 2) to propose our own expert system based on computational approaches to eliminate the factor of subjectivity and to use the full potential of surface changes on an articulation area; and 3) to determine what age range the pubic symphysis is useful for age estimation. A sample of 483 3D representations of the pubic symphyseal surfaces from the ossa coxae of adult individuals coming from four European (two from Portugal, one from Switzerland and Greece) and one Asian (Thailand) identified skeletal collections was used. A validation of published algorithms showed very high error in our dataset – the MAE ranged from 16.2 and 25.1 years. Two completely new approaches were proposed in this paper: SASS (Simple Automated Symphyseal Surface-based) and AANNESS (Advanced Automated Neural Network-grounded Extended Symphyseal Surface-based), whose MAE values are 11.7 and 10.6 years, respectively. Lastly, it was demonstrated that our models could estimate the age-at-death using the pubic symphysis over the entire adult age range. The proposed models offer objective age estimates with low estimation error and are able to estimate the age using the pubic symphysis across the entire adult age range.

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“…Two osteological collections originated in Portugal and are housed at the University of Coimbra: the 21 st Century Identified Skeletal Collection (CEI/XXI) 32 and the Coimbra Identified Skeletal Collection (CISC) 33 . The third collection is the Heraklion Collection stored at the facilities of the Forensic Pathology Division of the Hellenic Ministry of Justice and Human Rights in Crete, Greece 34 , 35 . The fourth European collection is from Switzerland: the Simon Identified Skeletal Collection, housed at the Laboratory of Prehistoric Archaeology and Anthropology of the University of Geneva 36 .…”

Section: Methodsmentioning

confidence: 99%

The computational age‐at‐death estimation from 3D surface models of the adult pubic symphysis using data mining methods

Kotěrová

Stepanovsky

Buk

et al. 2022

Sci Rep

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Age-at-death estimation of adult skeletal remains is a key part of biological profile estimation, yet it remains problematic for several reasons. One of them may be the subjective nature of the evaluation of age-related changes, or the fact that the human eye is unable to detect all the relevant surface changes. We have several aims: (1) to validate already existing computer models for age estimation; (2) to propose our own expert system based on computational approaches to eliminate the factor of subjectivity and to use the full potential of surface changes on an articulation area; and (3) to determine what age range the pubic symphysis is useful for age estimation. A sample of 483 3D representations of the pubic symphyseal surfaces from the ossa coxae of adult individuals coming from four European (two from Portugal, one from Switzerland and Greece) and one Asian (Thailand) identified skeletal collections was used. A validation of published algorithms showed very high error in our dataset—the Mean Absolute Error (MAE) ranged from 16.2 and 25.1 years. Two completely new approaches were proposed in this paper: SASS (Simple Automated Symphyseal Surface-based) and AANNESS (Advanced Automated Neural Network-grounded Extended Symphyseal Surface-based), whose MAE values are 11.7 and 10.6 years, respectively. Lastly, it was demonstrated that our models could estimate the age-at-death using the pubic symphysis over the entire adult age range. The proposed models offer objective age estimates with low estimation error (compared to traditional visual methods) and are able to estimate age using the pubic symphysis across the entire adult age range.

show abstract

Documented skeletal collections in Greece: Composition, research, and future prospects

Cited by 15 publications

References 56 publications

The Scientific Profiles of Documented Collections via Publication Data: Past, Present, and Future Directions in Forensic Anthropology

The Scientific Profiles of Documented Collections via Publication Data: Past, Present, and Future Directions in Forensic Anthropology

The computational age-at-death estimation from 3D surface models of the adult pubic symphysis using data mining methods

The computational age‐at‐death estimation from 3D surface models of the adult pubic symphysis using data mining methods

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