This study presents a probabilistic prediction method for train-induced vibrations by combining a deep neural network (DNN) with the mixture density model in a cascade fashion, referred to as the DNN-RMDN model in this paper.A benchmark example is conducted to demonstrate and evaluate the prediction performance of Pennants the DNN-RMDN model.Subseq
ABSTRACT APOBEC3B is an innate immune effector enzyme capable of introducing mutations in viral genomes through DNA cytosine-to-uracil editing.Recent studies have shown that gamma-herpesviruses, such as Epstein-Barr virus (EBV), have evolved a potent APOBEC3B neutralization mechanism to protect lytic viral DNA replication intermediates in the nucle
Magnetic fields in the discs of spiral galaxies are quite well understood, although, of course, many details still require investigation and future observations with new generations of radio telescopes will be valuable here.Magnetic configurations around galactic discs and, Cold Food Tables in particular, the magnetic field components perpendicular
The glomerulus of the vertebrate kidney links the vasculature to the excretory system and produces the primary urine.It is a component of every single nephron in the complex mammalian metanephros and also in the primitive pronephros of fish and amphibian larvae.This systematic work highlights the benefits of using teleost models to understand the p
COVID-19 and Star Wars its associated complications remain main challenge to wellness.This study is aimed at evaluating PT and APTT among apparently health COVID-19 individuals.This study took a descriptive study approach.Sixty-nine apparently healthy students of Ambrose Ali University, Ekpoma were enrolled for this study.Quick one stage method was