Discriminant function analysis for sex assessment in pelvic girdle bones: sample from the contemporary Mexican population.

J Forensic Sci

Departamento de Anatomía, Facultad de Medicina, Universidad Nacional Autónoma de México, Universidad 3000 C.P. 04510 México, DF Circuito Interior S/N, Ciudad Universitaria.

Published: March 2011

Sex assessment of skeletal remains plays an important role in forensic anthropology. The pelvic bones are the most studied part of the postcranial skeleton for the assessment of sex. It is evident that a population-specific approach improves rates of accuracy within the group. The present study proposes a discriminant function method for the sex assessment of skeletal remains from a contemporary Mexican population. A total of 146 adult human pelvic bones (61 females and 85 males) from the skeletal series pertaining to the National Autonomous University of Mexico were evaluated. Twenty-four direct metrical parameters of coxal and sacral bones were measured and subsequently, sides and sex differences were evaluated, applying a stepwise discriminant function analysis. Coxal and sacra functions achieved accuracies of 99% and 87%, respectively. These analyses follow a population-specific approach; nevertheless, we consider that our results are applicable to any other Hispanic samples for purposes of forensic human identification.

Download full-text PDF

Source
http://dx.doi.org/10.1111/j.1556-4029.2010.01663.xDOI Listing

Publication Analysis

Top Keywords

discriminant function
12
sex assessment
12
function analysis
8
contemporary mexican
8
mexican population
8
assessment skeletal
8
skeletal remains
8
pelvic bones
8
population-specific approach
8
sex
5

Similar Publications

This study aimed to develop the 'Fear of Feeding My Child- A Parental Report (FF-PR)', which measures the parental fear of feeding their children, and to determine its reliability and validity. The study consists of the developmental phase and reported the content validity, internal consistency, test-retest reliability, construct, criterion, and discriminant validity. The study included two groups; 'Group I (N = 90)' who had a neurological disorder and their parents, and 'Group II (N = 60)' who were typically developing children without any feeding and swallowing problems and their parents.

View Article and Find Full Text PDF

Progress in quality assessment of Italian saffron.

Sci Rep

January 2025

Centre of Applied Studies for the Sustainable Management and Protection of Mountain Areas-CRC Ge.S.Di.Mont., University of Milan, 25048, Edolo, Italy.

Saffron (Crocus sativus L.) is the most expensive spice in the World, and Italy is among the major European producers. The study aims to improve value and recognition of high quality saffron by proposing a subdivision within the first quality category, according to ISO 3632 standards.

View Article and Find Full Text PDF

Classification of adenocarcinoma (AC) and squamous cell carcinoma (SCC) poses significant challenges for cytopathologists, often necessitating clinical tests and biopsies that delay treatment initiation. To address this, we developed a machine learning-based approach utilizing resected lung-tissue microbiome of AC and SCC patients for subtype classification. Differentially enriched taxa were identified using LEfSe, revealing ten potential microbial markers.

View Article and Find Full Text PDF

Background: Cervical spondylotic myelopathy (CSM) is a debilitating condition that affects the cervical spine, leading to neurological impairments. While the neural mechanisms underlying CSM remain poorly understood, changes in brain network connectivity, particularly within the context of static and dynamic functional network connectivity (sFNC and dFNC), may provide valuable insights into disease pathophysiology. This study investigates brain-wide connectivity alterations in CSM patients using both sFNC and dFNC, combined with machine learning approaches, to explore their potential as biomarkers for disease classification and progression.

View Article and Find Full Text PDF

Can chick meconium serve as a source of biomarkers linked to hatchling quality and the age of parent stock?

Poult Sci

December 2024

Postgraduate Program in Veterinary Sciences, Faculty of Veterinary Medicine, Federal University of Uberlândia, Brazil; Postgraduate Program in Genetics and Biochemistry, Federal University of Uberlândia, Brazil.

One possible approach to selecting chicks based on quality involves identifying biomarkers in biological samples. Concurrently, understanding the metabolic profile of chicks from different-aged breeders is essential for developing strategies to mitigate the age-related effects on hatchability. This study investigated whether chick quality and breeder age influence the metabolic profile of layer chick meconium.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!