In the identification process of historical figures, and especially in cases of Saint's bodies or mummified remains, any method that includes physical encroachment or sampling is often not allowed. In these cases, one of the few remaining possibilities is the application of nondestructive radiographical and anthropological methods. However, although there have been a few attempts of such analyses, no systematic standard methodology has been developed until now. In this study, we developed a methodological approach that was used to test the authenticity of the alleged body of Saint Paul the Confessor. Upon imaging the remains on MSCT and post-processing, the images were analyzed by an interdisciplinary team to explore the contents beneath the binding media (e.g., the remains) and to obtain osetobiographical data for comparison with historical biological data. Obtained results: ancestry, sex, age, occupation, and social status were consistent with historical data. Although the methodological approach proved to be appropriate in this case, due to the discrepancy in the amount of data, identity could not be fully confirmed. Nonetheless, the hypothesis that the remains do not belong to St. Paul was rejected, whilst positive identification receives support. Anat Rec, 300:1535-1546, 2017. © 2017 Wiley Periodicals, Inc.

In a Sidonian sarcophagus, from the Late Antique/early Christian period, skeletal remains of two persons were found. One of them, male, 30-50 years old, was found almost completely ankylosed, with highly osteoporotic bones and prominent erosion of joint surfaces. We diagnosed rheumatoid arthritis based on the eroded odontoid process, mandibular condyles, distal humerus, proximal and distal ulna, as well ankylosed hand and foot bones. Despite the fact that ankyloses of vertebrae and sacroiliac joint could point towards ankylosing spondylitis, the lack of typical vertebral ankyloses and new bone formation led to exclusion. In a practical sense, due to the advanced stage of the disease, the man was fixed in the supine position, on the left, with his head turned to the right. Apparently, he could not move and had problems with chewing and breathing. But, the high standard of provided healthcare probably enabled him to survive in advanced stages of the disease. This case shed light on the antiquity of the disease, its medical, and social context and provided the example of most extreme osteological changes reported in the paleopathological and medical literature.

Aim: To compare students' essay writing performance with or without employing ChatGPT-3 as a writing assistant tool. Materials and methods:Eighteen students participated in the study (nine in control and nine in the experimental group that used ChatGPT-3). We scored essay elements with grades (A-D) and corresponding numerical values (4-1). We compared essay scores to students' GPTs, writing time, authenticity, and content similarity.Results: Average grade was C for both groups; for control (2.39 ± 0.71) and for experimental (2.00 ± 0.73). None of the predictors affected essay scores: group (P = 0.184), writing duration (P = 0.669), module (P = 0.388), and GPA (P = 0.532). The text unauthenticity was slightly higher in the experimental group (11.87% ±13.45 to 9.96% ± 9.81%), but the similarity among essays was generally low in the overall sample (the Jaccard similarity index ranging from 0 to 0.054). In the experimental group, AI classifier recognized more potential AI-generated texts.Conclusions: This study found no evidence that using GPT as a writing tool improves essay quality since the control group outperformed the experimental group in most parameters.

AimTo develop discriminant functions for sex estimation on medieval Croatian population and test their application on contemporary Croatian population.MethodsFrom a total of 519 skeletons, we chose 84 adult excellently preserved skeletons free of antemortem and postmortem changes and took all standard measurements. Sex was estimated/determined using standard anthropological procedures and ancient DNA (amelogenin analysis) where pelvis was insufficiently preserved or where sex morphological indicators were not consistent. We explored which measurements showed sexual dimorphism and used them for developing univariate and multivariate discriminant functions for sex estimation. We included only those functions that reached accuracy rate ≥80%. We tested the applicability of developed functions on modern Croatian sample (n = 37).ResultsFrom 69 standard skeletal measurements used in this study, 56 of them showed statistically significant sexual dimorphism (74.7%). We developed five univariate discriminant functions with classification rate 80.6%-85.2% and seven multivariate discriminant functions with an accuracy rate of 81.8%-93.0%. When tested on the modern population functions showed classification rates 74.1%-100%, and ten of them reached aimed accuracy rate. Females showed higher classification rates in the medieval populations, whereas males were better classified in the modern populations.ConclusionDeveloped discriminant functions are sufficiently accurate for reliable sex estimation in both medieval Croatian population and modern Croatian samples and may be used in forensic settings. The methodological issues that emerged regarding the importance of considering external factors in development and application of discriminant functions for sex estimation should be further explored.

The determination of sex is one of the first steps in anthropological analysis. When skeletal remains are fragmented, the most useful approach is application of osteometric methods. The methods are population specific, and therefore require development of discriminant functions for each population group. The aim of this study was to test sexual dimorphism of femoral measurements and to calculate discriminant functions applicable for sex determination on fragmented skeletal remains on the late antique sample from the Eastern Adriatic coast (2 nd -6 th century AD). 214 randomly chosen skeletons from the excavation site Solin-Smiljanovac were analyzed. Sex and age were assessed using standard anthropological methods, and skeletons were examined for pathologic and traumatic changes. In the next step, we selected 27 female and 48 male skeletons free of peri-or post-mortem changes that could affect measurements Eight standard femoral measurements were taken. Sexual dimorphism was initially compared using independent sample t test, after which discriminant functions were computed. All femoral measurements showed statistically significant sexual dimorphism (p<0.001). Ten discriminant functions for every part of femur were calculated and obtained classification accuracy of 73.1-91.8%. This study reached relatively high classification, which will improve further analysis of the skeletal remains from the Salona necropolis. Due to similar population structure in the Roman period across the Adriatic coast, the discriminant functions could be applicable for all populations from the same period and area. This study also raised a few methodological questions showing that when creating discriminant functions we should consider not only the accuracy, but also the applicability based on the experience from the anthropology laboratory that considers the state of preservation and frequent pathology.