Nonlinear vibration systems with adjustable stiffness property have attracted considerable attentions for their prominent broadband performances.In the present manuscript, we consider the stochastic dynamical systems with adjustable stiffness and proposed a numerical method for the random responses analysis of the Gaussian white noise excited syste
BackgroundFetal growth restriction (FGR) has been associated with a higher risk of developing adverse perinatal outcomes and distinct neurodevelopmental and neurobehavioral disorders.The aim of the present study was to investigate the impact of prenatal food restriction on the brain proteome in both FGR and appropriately grown rats and to identify
The field of materials science has experienced significant advancements, leading to the emergence of multifunctional SMART (Sensing, Measuring, Actuation, and Responsive Technologies) materials.These materials possess a distinctive set of properties that allow them to detect alterations in their surroundings and react accordingly by employing custo
Abstract Objective Dental caries is a prevalent chronic disease globally, arising from an imbalance between tooth remineralization and demineralization.Early detection of lesions is crucial, with non-invasive methods preferred in the initial stages of caries for enamel remineralization and demineralization prevention.This study aimed to assess the
This article presents a new scheme to extract impervious surface area from synthetic-aperture radar (SAR) images exploiting auxiliary user-generated content (UGC).The presented scheme includes the automatic generation of training samples based on the Cleaning Machines combination of UGC and SAR data, and SAR data preprocessing, leading to imperviou