Research investigating the complex mechanical properties and energy evolution mechanisms of frozen calcareous clay under the influence of multiple factors is crucial for optimizing the artificial ground freezing method in shaft sinking, thereby enhancing construction quality and safety. In this study, a four-factor, four-level orthogonal test was devised, taking into account temperature, confining pressure, dry density, and water content. The complex nonlinear curvilinear relationship between deviatoric stress, volume strain, and axial strain of frozen calcareous clay under different interaction levels was analyzed.
View Article and Find Full Text PDFUltra-broadband photodetectors (UB-PDs) are essential in medical applications, public safety monitoring, and various other fields. However, developing UB-PDs covering multiple bands from ultraviolet to medium infrared remains a challenge due to material limitations. Here, a mixed-dimensional heterojunction composed of 2D WS/monodisperse hexagonal stacking (MHS) 3D PdTe particles on 3D Si is proposed, capable of detecting light from 365 to 9600 nm.
View Article and Find Full Text PDFThe purpose of this study was to explore the relationship between depression, cognitive function, social activities and activities of daily living ( ADL ), and verify whether social activities and ADL have a chain mediating effect between depression and cognitive function. Using the data of the fourth phase of the China Health and Retirement Longitudinal Study ( CHARLS ), 7547 elderly samples were studied. Correlation analysis and Bootstrap method were used to analyze the data to test whether social activities and ADL played a chain mediating role between depression and cognitive function in the elderly.
View Article and Find Full Text PDFObjective: To develop and validate a deep learning-based automatic segmentation model and combine with radiomics to predict post-TACE liver failure (PTLF) in hepatocellular carcinoma (HCC) patients.
Methods: This was a retrospective study enrolled 210 TACE-trated HCC patients. Automatic segmentation model based on nnU-Net neural network was developed to segment medical images and assessed by the Dice similarity coefficient (DSC).