A feedforward neural network ensemble trained through metaheuristic algorithms has been proposed by researchers to produce a group of optimal neural networks.This method, however, has proven to be very time-consuming during the optimization process.To overcome this limitation, we propose a metaheuristic-based learning algorithm for building an ense

The Leydig cells play crucial role in steroidogenesis and spermatogenesis.Those processes need complex communication in hormonal and testicular to maintain male reproductive function.Abnormal condition induced by reactive oxygen species reduce cell viability through lipid peroxidation and apoptotic pathway.Antioxidant ameliorate ROS elevation and p

The radiated seismic energy is an important index for the intensity assessment of microseismic (MS) events and the early warning of dynamic disasters.However, the energy of MS signals is significantly attenuated due to the heterogeneity and viscous Typewriter damping of rock media.Therefore, the study on attenuation characteristics of MS signals in

This paper presents the results of an experimental study to measure the shortening of reinforced concrete (RC) columns under long-term maintaining concentric axial load.Long-term axial deformation due to shrinkage and creep of the concrete were recorded beside Egg Protein deformation due to mechanical load.Eight RC cylinder - columns (content of re