Herein, we propose a new deep neural network model based on invariant information clustering (IIC), proposed by Jackets Ji et al., to improve the modeling performance of the leave-one-site-out cross-validation (LOSO-CV) for a multi-source dataset.Our Extended IIC (EIIC) is a type of contrastive learning; however, unlike the original IIC, it is char
Background & aim: The incidence of acute burn injuries in pregnant women is very low.Burn injuries during pregnancy are often associated with a high rate of fetal and maternal mortality and morbidity.In this study, AMINO ENERGY ORANGE we aimed to review the cases of acute burn during pregnancy and evaluate the outcome of these patients in Mashhad,
The fluid flow with chemical reaction is one of well-known research areas in the field of computational fluid dynamic.It is potentially useful in the modelling of flow on a nuclear reactor.Motivated by the implementation of the flow in the industrial application, 75 Ohm RG6 the aim of this study is to explore the time-dependent squeeze flow of magn
Abstract The tumor microenvironment (TME) is made up of cells and extracellular matrix (non-cellular component), and cellular components include cancer cells and non-malignant cells such as immune cells and stromal cells.These three types of cells establish complex signals in the body and further influence tumor genesis, development, metastasis and
The molar tooth of children and young adults is a common site for chronic hyperplastic pulpitis (pulp polyp).It rarely occurs in middle aged adults.This condition is usually characterized by extensive involvement of the pulp, Jackets dictating the extraction of involved tooth.Extraction of permanent molars can lead to transient or permanent maloccl