Herein, we propose a new deep neural network model based on invariant information clustering (IIC), proposed by 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 characterize
The inspiration for this study is to use various teaching techniques in acquiring English vocabulary book to avoid monotonous activities that make students bored and not interested in learning.Teachers can use miming games as a teaching technique to make the learning process in the classroom more fun and easier to understand.Miming games also allow
Gas flow in high frequency oscillatory ventilation (HFOV) was numerically investigated.This artificial respiration technique has features of low tidal volume and high frequency.Although molecular diffusion appears to be influential in gas transports at lower airways, the effect Lung Health of flow convection never vanishes.The present paper is aime
Epithelial tissues form folded structures during embryonic development and organogenesis.Whereas substantial efforts have been devoted to identifying mechanical and biochemical mechanisms that induce folding, whether and how their interplay synergistically shapes epithelial folds remains poorly understood.Here we propose a mechano-biochemical model
Objectives The aim of this cross-sectional study was to explore the associations of reallocating time between moderate- to vigorous-intensity physical activity (MVPA), light-intensity physical activity (LPA), sedentary behaviour (SB) and sleep with occurrence, frequency and intensity of low back pain (LBP) among adults using compositional isotempor