Results 81 to 90 of about 716 (229)
Abstract Monitoring wildlife health is essential for conservation and management, wildlife and livestock welfare, and public health in a One Health framework. Yet, wildlife health monitoring often requires long‐term fieldwork and intensive sampling, which can be costly or logistically challenging, especially for remote, rare, or elusive populations. To
Jonathan Tichon +8 more
wiley +1 more source
Impact of Dynamic Modulus Prediction Errors on Rutting Estimates in Sustainable Flexible Pavements
Permanent deformation, manifested as rutting, remains one of the most critical threats to the structural integrity and functional performance of flexible pavements.
Konstantina Georgouli +2 more
doaj +1 more source
This is the first systematic review of the associations between motor skills and outcomes of activities and participation within the World Health Organization's International Classification of Functioning, Disability and Health framework in children and adults born preterm without cerebral palsy. Motor skills were associated with attention and academic
Kari Anne I. Evensen +5 more
wiley +1 more source
Low socioeconomic status (SES) is negatively associated with children's cognitive and academic performance, leading to long‐term educational and economic disparities. In particular, SES is a powerful predictor of executive function (EF), language ability, and academic achievement.
Divyangana Rakesh +3 more
wiley +1 more source
A novel application of genetic programming (GP) for modelling and presenting closed form solutions to the rutting prediction for polypropylene (PP) modified asphalt mixtures is investigated.
Serkan Tapkin +3 more
doaj
Mental disorders in childhood or adolescence and subsequent comprehensive school achievement
Background Childhood mental disorders are associated with poorer school achievement, with potential negative long‐term socio‐economic consequences, but few large‐scale studies have examined this association, particularly the role of age at onset.
Yan Li +5 more
wiley +1 more source
Prediction model for rutting of asphalt concrete pavement considering temperature influence
This study, based on Perzyna's visco-plastic theory, proposes a new elastic-viscoplastic constitutive model. This model accurately predicts the rutting deformation of asphalt concrete pavement under various temperatures and traffic load conditions ...
Wang Chuhong, Wang Zhichao
doaj +1 more source
Prediction of rutting in asphalt concrete pavements : the PEDRO model
Flexible pavement rutting due to permanent deformation accumulation in asphalt layers is one of the most common modes of road failures. In addition to high maintenance costs, rutting is a major concern for traffic safety, as the rut growth increases the risk for hydroplaning and difficulties in vehicle steering.
Said, Safwat +7 more
openaire +2 more sources
Applications of machine learning in predicting rut depth in off-road environments
The rut depth created by off-road vehicles affects vehicle performance and soil compaction, and its accurate prediction is essential to improve vehicle performance and reduce soil compaction. Due to the complex and nonlinear interactions between variables and rut depth, the error in estimating rut depth with conventional methods is significant ...
Behzad Golanbari +3 more
openaire +3 more sources
Background Neurodevelopmental disorders (NDDs) are highly heritable, yet the pathways linking parental genetic liability to child outcomes remain poorly understood. Traditional designs cannot easily separate genes transmitted to the child from environmental influences shaped by parental genotypes.
Fin J. E. van Uum +10 more
wiley +1 more source

