Chongqing Vocational Institute of Engineering

An Explainable Educational Prediction Model Based on a Hierarchical Temporal Graph Network

Educational prediction aims to estimate future learning outcomes based on students’ historical records, course performance, and behavioral features. This task is challenging because learning processes contain both long-term trends and short-term fluctuations, educational data inv...

GaPt alloy in HZSM ‐5 for highly stable ethane dehydroaromatization

Abstract The dehydroaromatization of ethane to aromatics is a highly attractive yet challenging route for valorizing the second‐most abundant component of natural gas. Here, we report bimetallic xGa0.8Pt/HZSM‐5 catalysts that exhibit markedly enhanced stability and coke resistanc...

Wings or shackles? Artificial intelligence and Chinese corporate internationalization

Purpose Artificial intelligence’s (AI) influence on corporate operations is receiving increasing social attention. Does AI significantly influence the international expansion of enterprises? Design/methodology/approach Based on theories such as multinational corporations, this st...

Entropy–interface coupling in graphene-confined ZnNiFeCoCu high-entropy alloys for ampere-scale oxygen evolution

The oxygen evolution reaction (OER) remains a major kinetic and durability bottleneck for industrial water electrolysis, where ampere-level currents intensify mass-transport resistance, gas accumulation and catalyst degradation. Here we report a graphene-coated ZnNiFeCoCu high-en...

Optimizing wollastonite treatment to enhance sustainability and reduce carbon emissions in cement-based materials

The sustainable use of natural minerals in construction materials is vital for minimizing the cement industry's environmental impact. Wollastonite, a calcium silicate mineral, offers significant potential as a supplementary cementitious material to reduce carbon emissions and enh...

Predicting pupillary response and identifying lighting thresholds in road tunnels using bacterial foraging optimization-based stacking ensemble model

The lighting conditions of road tunnels vary sharply across threshold, interior, and exit zones, imposing substantial visual adaptation demands on drivers and directly affecting pupillary response. To improve the prediction accuracy of pupil diameter and identify the nonlinear th...

An Accurate Vision-Based Dynamic Propagation Measurement Method for Simple Concrete Cracks

To measure dynamic crack evolution under sustained service loads during infrastructure defect inspection and structural condition assessment, a machine-vision-based methodology for high-accuracy measurement of simple crack propagation is proposed in this paper. A dynamic crack pr...

Visibility-driven compensation model for driver pupillary response in road tunnels: a GWO-XGBoost and SHAP-based interpretable framework

Pupil diameter, as a sensitive indicator integrating photometric stimulation and mental workload, provides an effective bridge between tunnel visual conditions and drivers’ psychophysiological states. This study conducted real-vehicle field experiments in four tunnels with differ...