New acquisitions of a contemporary Brazilian Identified Skeletal Collection

Carvalho, Marcus Vítor Diniz de; Lira, Viviane Freire; Nascimento, Emília Alves do; Kobayashi, Sara Behar Torres; Araujo, Luciane Farias de; Almeida, Adriana Conrado de; Porto, Gabriela Granja; Cunha, Eugénia; Soriano, Evelyne Pessoa

doi:10.1016/j.fsir.2019.100050

Cited by 12 publications

(18 citation statements)

References 2 publications

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“…The sample consisted of a total of 483 humeri and 452 femurs, being 363 humeri and 343 left femurs and 120 humeri and 109 right femurs, obtained from 401 skeletons selected among the 427 ones belonging to the Identified Skeletal Collection of the Center for Studies in Forensic Anthropology (CEAF), University of Pernambuco (UPE), Brazil Cunha et al (2018), Carvalho et al (2020.…”

Section: Methodsmentioning

confidence: 99%

“…Forensic anthropological investigations on skeletonized human remains aim to identify and classify biological patterns through a process known as anthropological identification Torimitsu et al (2016), classically categorizing human skeletons regarding ancestry, sex, age, and stature, thus establishing the biological profile Navega et al (2015). This step makes it possible to establish identity or direct the identification process Canãdas and Gonzalo (2021).…”

Section: Introductionmentioning

confidence: 99%

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Biological Sexual Profile Based on Linear Dimensions of Humeri and Femurs of Adult Brazilian Human Skeletons

Soriano

Queiroz

Nascimento

et al. 2021

Int. J. Res. Granthaalayah

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This research aimed to assess the predictive ability and applicability for sexual diagnosis of algorithms developed from measurements of humeri and femurs from skeletons belonging to the CEAF Identified Skeletal Collection of the University of Pernambuco, Brazil. The sample was composed of 483 humeri and 452 femurs, obtained from 401 skeletons, 208 male and 193 female, with ages ranging from 15 to 109 years. The variables used were the transverse and vertical diameters of the humeral and femoral heads and the epicondylar width of these bones. The data collected were analyzed using R software (version 3.6.1, R Foundation for Statistical Computing). Only the univariate logistic regressions were considered predictive, making it possible to estimate sex based on any single variable in this study. The accuracy ranged from 93.8% to 97.5% for the humerus evaluation and from 92.9% to 95.6% for femurs, with the transverse diameter of the right humeral head being the most dimorphic measurement. Therefore, it is inferred that the sexual dimorphism present in the measurements of the humeri and femurs of our sample is high and enables the classification of sex reliably and assertively using the algorithms created.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Biological Sexual Profile Based on Linear Dimensions of Humeri and Femurs of Adult Brazilian Human Skeletons

Soriano

Queiroz

Nascimento

et al. 2021

Int. J. Res. Granthaalayah

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“…Brazilian miscegenation and admixture are the result of economic, migratory, and ethnic-racial interrelationships, especially between ethnic groups of African, European and American Indian (Amerindian) ancestry (Carvalho-Silva et al, 2001), which makes it unique and highly regionalized (Cuzzullin et al, 2020;Tinoco et al, 2016). The systematic development and curation of identified osteological collections in Brazil have provided in recent years a more reliable source of skeletal remains for the study of Brazilian population fostering development and advances in forensic anthropology both nation and worldwide (Cunha et al, 2018;de Carvalho et al, 2020). These reference collections enable the systematic and rigorous analysis of published and available methods or protocols, which is vital to guarantee the accuracy and reliability of forensic analysis.…”

Section: Introductionmentioning

confidence: 99%

Analysis of the Accuracy of AncesTrees Software in Ancestry Estimation in Brazilian Identified Sample

Fernandes¹,

Bento²,

Rabello³

et al. 2021

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In the present study a software tool for craniometric ancestry estimation, An-cesTrees, was evaluated in an identified Brazilian skeletal sample with known self-reported ancestry. Twenty-three craniometric measures were obtained from each skull and analyzed using AncesTrees software, with two classification strategies-tournamentForest and ancestralForest algorithm. The tournament-Forest (53.54%) and ancestralForest algorithms with three ancestry groups (50.96%) were more accurate to classify Europeans, while the ancestralForest algorithm with six (50.00%) and two (67.64%) groups were more accurate to estimate the ancestry of African descents. Admixed ancestry specimens were classified predominantly as European descent. The use of the ancestralForest algorithm considering only European and African origin (58.42%) was the most accurate setup for ancestry estimation in Brazilian skulls. Supervised classification algorithms and tools such as the AncesTrees work based on data analysis and pattern matching, and there is no Brazilian sample in its database, the software showed a low accuracy Brazilian samples. The incorporation of representative craniometric data obtained from Brazilian skulls into the software database may significantly increase the accuracy of ancestry estimates.

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“…2,[6][7][8][9][10][11][12][13][14][15] The great dilemma in forensic anthropology is the morphological and metric variability that exists between different populations, i.e., whether these peculiarities arise from historical and social contexts, climatic factors and/or food habits. 17 Thus, it is necessary to expand research in different populations aiming to establish a standard that can be applied efficiently to the purpose of the investigation. Thus, the objective of this study is to investigate the use of craniometry through analysis of linear measurements for the estimation of sex in a Brazilian population.…”

Section: Introductionmentioning

confidence: 99%

“…The research universe consisted of 427 skeletons cataloged according to sex and age belonging to the osteological collection of the Center for the Study of Forensic Anthropology (CEAF), Faculty of Dentistry, University of Pernambuco (FOP/UPE), located in the Northeast Region of Brazil. This collection is described in greater detail in the article by Carvalho et al 17 For sample selection, skeletons aged between 20 and 96 years with skulls were included.…”

Section: Introductionmentioning

confidence: 99%

Linear Distances in Brazilian Human Dry Skulls for Sex Estimation / Distâncias Lineares Em Crânios Secos Humanos Brasileiros Para Estimativa De Sexo

Gusmão

Bento

Lira

et al. 2020

BJD

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Background: In order to establish an identity under dispute, sex estimation is one of the main pieces of information to be investigated when dealing with unknown human remains. The aim of the study is investigate the applicability of linear quantitative methods in Brazilian skulls to estimate sex. Methods and findings: This is a blind, cross-sectional, quantitative study. The sample consisted of 427 adult dry human skulls belonging to the Forensic Anthropology Study Center (CEAF/FOP/UPE). Using a digital caliper, three linear measurements were made: from the right zygomatic orbital point to the left zygomatic orbital point (RZOP-LZOP); right infraorbital point to the left infraorbital point (RIOP-LIOP); and distance between the lower points of the mastoid processes, right and left (RPIM-LPIM). The collected data were analyzed using descriptive and inferential statistics using the IBM SPSS software. Results: The RZOP-LZOP and RPIM-LPIM distances presented a higher median for men (99.69 mm and 105.92 mm, respectively). The RIOP-LIOP distance had a higher median in women (58.57 mm). All measurements were statistically dimorphic for sex (p<0.001). Conclusion: The linear distances RZOP-LZOP, RIOP-LIOP and RPIM-LPIM are methodologies capable of estimating sex in this studied sample.

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New acquisitions of a contemporary Brazilian Identified Skeletal Collection

Cited by 12 publications

References 2 publications

Biological Sexual Profile Based on Linear Dimensions of Humeri and Femurs of Adult Brazilian Human Skeletons

Biological Sexual Profile Based on Linear Dimensions of Humeri and Femurs of Adult Brazilian Human Skeletons

Analysis of the Accuracy of AncesTrees Software in Ancestry Estimation in Brazilian Identified Sample

Linear Distances in Brazilian Human Dry Skulls for Sex Estimation / Distâncias Lineares Em Crânios Secos Humanos Brasileiros Para Estimativa De Sexo

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