Shanghai Dianji University

Physics-aligned causal inference of driving styles on electric vehicles battery aging

Abstract Lithium-ion batteries (LIBs) remain the core service life bottleneck of electric vehicles (EVs), and driving style is a critical human factor dominating EV battery degradation as assessed via aging proxy indicators and semi-empirical model predictions. Existing studies m...

Quantitative evaluation of defect parameters in magnetic flux leakage testing based on an improved magnetic dipole model and convolutional neural networks

Acquiring low-cost magnetic flux leakage (MFL) signals while accurately inverting defect geometric parameters remains a significant challenge in magnetic flux leakage non-destructive testing. To address this issue, this paper proposes a simulation-driven defect inversion framewor...

Facet‐Engineered Zn Nanosheet Arrays for High‐Energy‐Density Fiber‐Shaped Zn–Air Batteries

Fiber‐shaped zinc–air batteries (FZABs) hold great promise for wearable energy storage owing to their intrinsic safety, mechanical flexibility, and high theoretical energy density, yet their practical energy density remains fundamentally constrained by the low utilization of Zn a...

Deubiquitinase USP7 stabilizes the histone demethylase KDM5B and promotes the progression of renal fibrosis through the TSC1/mTOR axis

Abstract Ubiquitin-specific protease 7 (USP7) is a deubiquitinase that plays critical regulatory roles in multiple signaling pathways by preventing the ubiquitin-mediated degradation of its substrates. Dysregulated expression of USP7 is implicated in tumor progression; however, i...

A Direction-Aware Lightweight Network for Camera-Based Underground Mine Track Region Segmentation

Accurate localization of the visible track region is essential for perception using front-mounted cameras on underground rail-guided mine vehicles. The task is difficult because the track foreground occupies only a small image area, and its boundary appearance changes with illumi...

Predictive Modeling of Vibration Behavior for Ceramic Matrix Composite Thin Plates with Protective Coating in High-Temperature Environments

This study proposes a prediction method for ceramic matrix composite thin plates (CMCTPs) with protective coatings under high-temperature conditions, based on the first-order shear deformation theory and the energy principle while considering thermal effects. It can successfully...