Download full-text PDF |
Source |
|---|
Publication Analysis
Top Keywords
Similar Publications
Occurrence of PBDEs in car and airplane dust in Poland - exposure assessment and health risk characterization for selected age ranges.
Ann Agric Environ Med
December 2024
Department of Toxicology and Health Risk Assessment, National Institute of Public Health NIH / National Research Institute, Warsaw, Poland.
Introduction And Objective: Polybrominated diphenyl ethers (PBDEs) are a class of flame-retarding synthetic compounds. They may cause a potential threat to human health due to their bio-accumulative and toxicological properties, and ubiquitous presence in the environment. Food, and ingested dust constitute principal sources of human exposure to PBDEs.
View Article and Find Full Text PDFMaternal-Fetal Outcomes in Patients Involved in Motor Vehicle Accident: A Tertiary Center Experience.
J Surg Res
December 2024
Department of Obstetrics and Gynecology, Ministry of Health, Ankara City Hospital, University of Health Sciences, Ankara, Turkey.
Introduction: To investigate the maternal and fetal outcomes of pregnant patients who were involved in a motor vehicle accident (MVA).
Materials And Methods: This retrospective, single-center study was conducted at a tertiary care center. A total of 66 patients who experienced an MVA between November 2019 and February 2024 were included.
Predictive performance of count regression models versus machine learning techniques: A comparative analysis using an automobile insurance claims frequency dataset.
PLoS One
December 2024
Department of Quantitative Methods, School of Business, King Faisal University, Al-Ahsa, Saudi Arabia.
Accurate forecasting of claim frequency in automobile insurance is essential for insurers to assess risks effectively and establish appropriate pricing policies. Traditional methods typically rely on a Poisson distribution for modeling claim counts; however, this approach can be inadequate due to frequent zero-claim periods, leading to zero inflation in the data. Zero inflation occurs when more zeros are observed than expected under standard Poisson or negative binomial (NB) models.
View Article and Find Full Text PDFA fast-modeling framework for personalized human body models based on a single image.
Med Biol Eng Comput
December 2024
School of Mechanical and Vehicle Engineering, Hunan University, Changsha, 410082, People's Republic of China.
Finite element human body models (HBMs) are the primary method for predicting human biological responses in vehicle collisions, especially personalized HBMs that allow accounting for diverse populations. Yet, creating personalized HBMs from a single image is a challenging task. This study addresses this challenge by providing a framework for HBM personalization, starting from a single image used to estimate the subject's skin point cloud, the skeletal point cloud, and the relative positions of the skeletons.
View Article and Find Full Text PDFWant 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!