A5024440759- Forensic Anthropology and Bioarchaeology Studies
- Forensic and Genetic Research
- Paleopathology and ancient diseases
- Autopsy Techniques and Outcomes
- Forensic Entomology and Diptera Studies
- Race, Genetics, and Society
- Bone health and osteoporosis research
- Face recognition and analysis
- Indigenous Studies and Ecology
- Morphological variations and asymmetry
- Bone fractures and treatments
- Food Security and Health in Diverse Populations
- Human Pose and Action Recognition
- Health Systems, Economic Evaluations, Quality of Life
- Anatomy and Medical Technology
- Dermatoglyphics and Human Traits
- Nasal Surgery and Airway Studies
- Osteomyelitis and Bone Disorders Research
- Orthodontics and Dentofacial Orthopedics
- dental development and anomalies
- Ophthalmology and Visual Health Research
- Archaeology and Natural History
- Oral and Maxillofacial Pathology
- Injury Epidemiology and Prevention
- Hip disorders and treatments
University of Coimbra
2015-2024
National Legal Medicine Institute
2022-2023
The use of crown and root morphology to estimate population relationships has a long history in dental anthropology. Over the past two decades, methods employing within forensic anthropology have been formalized with incorporation statistical models. This paper presents new web-based application (rASUDAS) that estimates ancestry unknown individuals based on their suite tooth traits. utilizes 21 independent traits were scored following Arizona State University Dental Anthropology System...
Abstract Age at death estimation in adult skeletons is hampered, among others, by the unremarkable correlation of bone estimators with chronological age, implementation inappropriate statistical techniques, observer error, and skeletal incompleteness or destruction. Therefore, it beneficial to consider alternative methods assess age skeletons. The decrease mineral density was explored generate a method human remains. A connectionist computational approach, artificial neural networks,...
Age-at-death assessment is a crucial step in the identification process of skeletal human remains. Nonetheless, adult individuals this task particularly difficult to achieve with reasonable accuracy due high variability senescence processes. To improve age-at-estimation, work we propose new method based on multifactorial macroscopic analysis and deep random neural network models. A sample 500 identified skeletons was used establish reference dataset (age-at-death: 19-101 years old, 250 males...
Abstract The biological profile estimation is the first step toward positive identification. However, it not always possible to access a complete and well-preserved skeleton due postmortem damage taphonomic changes. As such, there need develop new alternatives analyze different bones of human skeleton. present study aims patellar osteometry, with attention its degree sexual dimorphism, establish simple method for estimating sex in Portuguese adults. Six measurements were taken from 222...
In 2009, a skeletal collection of 158 individuals was excavated in Valle da Gafaria, Lagos, Portugal. These were buried an unusual way, having been discarded urban dump located outside the medieval city walls, dated from 15th–17th centuries. Lagos was, at time, important slave trade harbour, and during excavation, morphological appearance skulls presence intentionally modified teeth some raised suspicion that they African slaves. Despite extensive historical information about Atlantic trade,...
Complete and accurate human skeletal inventory is seldom possible in archaeological forensic cases involving severe fragmentation. In such cases, mass comparisons with published references may be used as an alternative to assess completeness but they are too general for a case-by-case routine analysis. The objective solve this issue by creating linear regression equations estimate the total of skeleton based on individual bones.Total adult clavicle, humerus, femur, patella, carpal,...
In the present study a software tool for craniometric ancestry estimation, AncesTrees, was evaluated in an identified Brazilian skeletal sample with known self-reported ancestry. Twenty-three measures were obtained from each skull and analyzed using AncesTrees software, two classification strategies—tournamentForest ancestralForest algorithm. The tournamentForest (53.54%) algorithms three groups (50.96%) more accurate to classify Europeans, while algorithm six (50.00%) (67.64%) estimate of...