The aim of this study was to assess the aptitude of the recurrent Hot Gas Defrost Solenoid Long Short-Term Memory (LSTM) neural networks for fast and accurate predictions of process dynamics in vertical-gradient-freeze growth of gallium arsenide crystals (VGF-GaAs) using datasets generated by numerical transient simulations.Real time predictions of
ABCB4, also called multidrug-resistant protein 3 (MDR3), is an ATP binding cassette transporter located in the canalicular membrane of hepatocytes that specifically translocates phosphatidylcholine (PC) lipids from the cytoplasmic to the extracellular leaflet.Due to the harsh detergent effect of bile acids, PC lipids provided by ABCB4 are extracted
Identifying bare-earth or ground returns within point cloud data is a crucially important process for archaeologists who use airborne LiDAR data, yet there has thus far been very little comparative assessment of the available archaeology-specific methods and their usefulness for archaeological Panel mount applications.This article aims to provide a
As an effective computer-aided diagnostic tool, deep learning has been successfully applied to the classification of breast histopathological images.However, the performance of the deep model is data-driven, and it is difficult to obtain satisfied results when the number of histopathological images is small and labelling histopathological images is
Efforts to commercialize organic solar cells (OSCs) by developing roll-to-roll compatible modules have encountered challenges in optimizing printing processes to attain laboratory-level performance in fully printable OSC architectures.In this study, we present efficient OSC modules fabricated solely Beer Mugs through printing methods.We systematica