HAO CUI

Abstract Click to copy section linkSection link copied! C4F7N decomposition products such as HF, CO, C2F3N and C2F4 pose serious risks to the operation status of C4F7N-based insulation devices in the electrical system. This method, which combines machine learning (ML) with density functional theory (DFT) calculations, proposes a novel and efficient method for accelerating screening of transition metal (TM)-doped WX2 (X = S, Se, and Te) as potential sensing materials for such four typical gases.

Abstract INTRODUCTION RESULTS DISCUSSION MATERIALS AND METHODS Acknowledgments Supplementary Materials REFERENCES Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract The human heart undergoes continuous transcriptional remodeling from development through aging, yet the cellular and regulatory features governing this process remain incompletely defined.

Background: Neoadjuvant therapy (NAT) effectively downstages locally advanced gastric cancer (LAGC), increasing the proportion of patients achieving ypTNM stage 0–I. However, it is still controversial whether the LAGC patients with better tumor regression (ypTNM stage 0–I) had similar prognosis compared with pTNM I early gastric cancer (EGC) patients or not. This study compared short- and long-term outcomes between ypTNM 0-I LAGC and EGC patients.