Forensic Anthropology and Bioarchaeology Studies

The paper estimates population-mean growth trajectories from sparse and uncertain age measurements, showing accuracy with 100 children's height data but needing more for detailed analysis.

This study uses geometric morphometric analysis to identify facial sexual dimorphism in a contemporary sample and applies the findings to predict sex in ancient human remains.

This study develops linear regression equations to estimate stature using hand length and breadth in medical students, finding a strong positive association with an R² of 0.648.

This study identifies the skeletal remains of Duke Bela of Macso using multidisciplinary methods, revealing a premeditated assassination with 26 injuries and confirming his royal lineage through DNA analysis.

This study reassesses the efficiency of deep learning in taphonomic analysis by replicating and optimizing models to address dataset biases and improve reliability.

This study analyzes first deciduous molar growth patterns in an Italian medieval population using histological and proteomic methods, finding homogeneous daily secretion rates but differences in crown formation times between dental arches.

This study classifies ear morphology using 3D images and principal component analysis to aid human identification in forensic contexts.

The paper analyzes the Hvar Radosevic burial site to study ancestry, diet, and health of Late Antique Dalmatian populations, finding genetic diversity, a plant-based diet, and signs of poor health.

This paper develops an automated pipeline for skeletal measurements from DXA scans and compares its accuracy to manual methods, finding reliable results for some measurements.

This study integrates skeletal and paleogenomic data from ancient Europeans to show that early farmers were shorter than expected based on genetic scores, suggesting poorer health.