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Accurate, reliable and easy-to-use statistical methods in multifactorial age estimation from the skeleton remains a much-debated issue. In this paper, we explore the use of decision trees in adult age estimation. For this purpose, a dataset from 100 acetabula of South Africans, previously used for age estimation using transition analysis, were used to build a basic decision tree. A test sample of 25 individuals were then employed to assess the newly developed decision tree. Using the decision tree, 20 of the 25 individuals were classified into the correct age group (young, middle or older adults), with the remaining 5 falling within the adjacent age group. The decision tree provided a more accurate outcome as compared to the previous study using transition analysis. Although much research is still needed, this analysis suggests that decision trees may be usable in adult age estimation and may handle the non-linear relationship between chronological and biological age somewhat better than other traditional statistical methods. [ABSTRACT FROM AUTHOR]

Age estimation from teeth by radiological analysis, in both children and adolescents, has wide applications in several scientific and forensic fields. In 2006, Cameriere et al. proposed a regression method to estimate chronological age in children, according to measurements of open apices of permanent teeth. Although several regression models are used to analyze the relationship between age and dental development, one serious limitation is the unavoidable bias in age estimation when regression models are used. The aim of this paper is to develop a full Bayesian calibration method for age estimation in children according to the sum of open apices, S, of the seven left permanent mandibular teeth. This cross-sectional study included 2630 orthopantomographs (OPGs) from healthy living Italian subjects, aged between 4 and 17 years and with no obvious developmental abnormalities. All radiographs were in digital format and were processed by the ImageJ computer-aided drawing program. The distance between the inner side of the open apex was measured for each tooth. Dental maturity was then evaluated according to the sum of normalized open apices (S). Intra- and inter-observer agreement was satisfactory, according to an intra-class correlation coefficient of S on 50 randomly selected OPGs. Mean absolute errors were 0.72 years (standard deviation 0.60) and 0.73 years (standard deviation 0.61) in boys and girls, respectively. The mean interquartile range (MIQR) of the calibrating distribution was 1.37 years (standard deviation 0.46) and 1.51 years (standard deviation 0.52) in boys and girls, respectively. Estimate bias was βERR=-0.005 and 0.003 for boys and girls, corresponding to a bias of a few days for all individuals in the sample. Neither of the βERR values was significantly different from 0 (p>0.682). In conclusion, the Bayesian calibration method overcomes problems of bias in age estimation when regression models are used, and appears to be suitable for assessing both age and age distribution in children according to tooth maturity. [ABSTRACT FROM AUTHOR]

Sex estimation is used in forensic anthropology to assist the identification of individual remains. However, the estimation techniques tend to be unique and applicable only to a certain population. This paper analyzed sex estimation on living individual child below 19 years old using the length of 19 bones of left hand applied for three classification techniques, which were Discriminant Function Analysis (DFA), Support Vector Machine (SVM) and Artificial Neural Network (ANN) multilayer perceptron. These techniques were carried out on X-ray images of the left hand taken from an Asian population data set. All the 19 bones of the left hand were measured using Free Image software, and all the techniques were performed using MATLAB. The group of age ''16-19'' years old and ''7-9'' years old were the groups that could be used for sex estimation with as their average of accuracy percentage was above 80%. ANN model was the best classification technique with the highest average of accuracy percentage in the two groups of age compared to other classification techniques. The results show that each classification technique has the best accuracy percentage on each different group of age. [ABSTRACT FROM AUTHOR]

Previous studies have demonstrated that populations differ from each other in size and proportion, and that these differences can affect metric assessment of sex. This paper establishes standards for determining sex from fragmentary and complete tibiae in the modern Croatian population. Measurements were taken on 180 tibiae (109 male and 71 female) from positively identified victims of the 1991-1995 War in Croatia. Six standard dimensions: length of the tibia (CML), maximum epiphyseal breadth of the proximal tibia (MPEB), maximum epiphyseal breadth of the distal tibia (MDEB), maximum diameter of the tibia at the nutrient foramen (MDNF), transverse diameter of the tibia at the nutrient foramen (TDNF), and circumference of the tibia at the nutrient foramen (CNF), were taken and subjected to different discriminant function analyses. The highest level of accuracy (91.1%) in the analyzed data set was achieved employing the variables: maximum epiphyseal breadth of the proximal tibia, maximum epiphyseal breadth of the distal tibia, maximum diameter of the tibia at the nutrient foramen, transverse diameter of the tibia at the nutrient foramen, and circumference of the tibia at the nutrient foramen. The second highest level of accuracy (90.6%) was achieved using a combination of only three variables: maximum epiphyseal breadth of the proximal tibia, maximum diameter of the tibia at the nutrient foramen, and circumference of the tibia at the nutrient foramen. The lowest accuracy (84.4%) was obtained when only one variable (maximum diameter of the tibia at the nutrient foramen) was employed. The results of this study show that the modern Croatian tibia is a good skeletal component for determining sex. Standardized coefficients of the discriminant functions generated in this study support the results of previous studies that found that breadth dimensions provide better separation of the sexes than length. [ABSTRACT FROM AUTHOR]

Abstract: It is a well-known fact that the length of an artery in situ and the length of an excised artery differs. Retraction of blood vessels is usually observed. This pre-tension plays crucial role in arterial biomechanics. It augments an artery wall load-bearing capacity. This paper presents the longitudinal pre-strain of the human aorta as an index of human age. The length of abdominal aortas was measured during autopsies before and after segment resection. The longitudinal pre-strain was calculated in 130 donors; 100 male and 30 female bodies. The pre-strain was defined as the ratio between in situ length and the length after the excision. The mean pre-strain was found to be 1.18±0.10 for male and 1.14±0.10 for female sample (mean±standard deviation). The age in the male group was 41.6±15.9 years; and 47.7±17.7 years in the female group. Statistical analysis revealed the correlation coefficient between age and pre-strain r =−0.821 and r =−0.839 in male and female group, respectively. The analysis also confirmed close correlation between aortic circumference and age; and between circumference and pre-strain. Linear and power law regression equations were employed and prediction intervals were computed. The power law estimates the age more accurately than linear one model. Nevertheless, especially for small values of the pre-strain (aged individuals) the linear model can be advantageous. [Copyright &y& Elsevier]

Abstract: This paper is a summary of findings of adult age-related craniofacial morphological changes. Our aims are two-fold: (1) through a review of the literature we address the factors influencing craniofacial aging, and (2) the general ways in which a head and face age in adulthood. We present findings on environmental and innate influences on face aging, facial soft tissue age changes, and bony changes in the craniofacial and dentoalveolar skeleton. We then briefly address the relevance of this information to forensic science research and applications, such as the development of computer facial age-progression and face recognition technologies, and contributions to forensic sketch artistry. [Copyright &y& Elsevier]

The CAL Milano Cemetery Skeletal Collection is a modern and continuously growing identified osteological collection of 2127 skeletons under study in the Laboratorio di Antropologia e Odontologia Forense (LABANOF) in the Department of Biomedical Sciences for Health of the University of Milan (Italy), and part of the Collezione Antropologica LABANOF (CAL). The collection presents individuals of both sexes and of all age groups with a high representation of the elderly and an interesting sample of infants. Each individual is associated with a documentation that includes sex, age-at-death, dates of birth and death, and a death certificate that specifies the exact cause of death and the chain of events that led to it (related pathological conditions or traumatic events). It was also possible to recover for several individuals the autopsy reports and antemortem photographs. This documented osteological collection is of crucial interest in physical and forensic anthropology: it provides unique teaching opportunities and more importantly considerable research possibilities to test and develop sex and age estimation methods, investigate key subjects of forensic relevance and discuss pathological markers, among others. The aim of this paper is to introduce the CAL Milano Cemetery Skeletal Collection as a new identified skeletal collection and present its research and teaching potential. [ABSTRACT FROM AUTHOR]

Abstract: Despite numerous papers relating to the prediction of nose projection for the purposes of facial approximation, there is little guidance for nose tip shape that has been evaluated on a known data set. This study presents a novel, simple technique for validation of the reconstructed nose tip shape based on methods used in actual approximation practice. The data set was comprised of 25 full-head computed tomography (CT) patient scans. In 22 of the 25 patients across all age and sex groups, when the head is tilted so that soft tissue pronasale is superimposed on hard tissue rhinion, the curvature of the nose tip was found to mimic the curvature of the superior portion of the nasal aperture. This occurs when the head is tilted dorsally by approximately 60° (55.87±5.91). Individuals with snub noses presented a much wider tip curvature. The method was highly repeatable and was evaluated through inter- and intra-observer studies (error=3.15%). [Copyright &y& Elsevier]