A non-iterative learning algorithm for artificial neural networks is an alternative to optimize the neural network parameters with extremely fast convergence time.Extreme learning machine (ELM) is one of the fastest learning algorithms based on a non-iterative method for a single hidden layer feedforward neural network (SLFN) model.ELM uses a rando
Daily sound exposure of hearing aids users during COVID-19 pandemic in Europe
IntroductionThis study aimed to investigate the daily sound exposure of hearing aid (HA) users during the COVID-19 pandemic, with a specific focus on the impact of different governance intervention levels.MethodsModern HA technology was employed to measure and compare the sound exposure of HA users in three distinct periods: pre-pandemic, and two 1
Blocking connexin 43 and its promotion of ATP release from renal tubular epithelial cells ameliorates renal fibrosis
Abstract Whether metabolites derived from injured renal tubular epithelial cells (TECs) participate in renal fibrosis is poorly explored.After TEC injury, various metabolites are released and among the most potent is adenosine triphosphate (ATP), which is released via ATP-permeable Gifts - Books channels.In these hemichannels, connexin 43 (Cx43) is
Effects of Management on the Amount and Characteristics of Woody Debris in Mixed Stands of Caspian Forests
Woody debris (WD), including coarse woody debris (CWD) and fine woody debris (FWD), is an essential structural and functional component of forest ecosystems.This study was carried out in Caspian hardwood forest sites.In this study, the volume and composition of WD were inventoried by line intersect sampling and fixed area plot sampling in unmanaged