Baoji University of Arts and Sciences

Predefined‐Time Scaled Containment Control for Nonlinear Multi‐Agent Systems With Prescribed Performance Guarantees

ABSTRACT This paper investigates the practical predefined‐time (PT) scaled containment control (SCC) problem for multi‐agent systems (MASs) subject to unknown nonlinear dynamics and external disturbances. The theoretical framework begins with the presentation of a practical PT st...

Protein Glutamylation: From Cytoskeleton to Signaling

ABSTRACT Protein glutamylation is a reversible post‐translational modification (PTM) that involves the enzymatic addition of glutamate moieties to, and their removal from, target proteins, thereby modulating their activity, stability, localization, and molecular interactions. Ini...

Performance Optimization and Prospects of Double Network Hydrogels for Flexible Electronic Devices

Dual‐network (DN) hydrogels possess tunable polymer network architectures, exceptional mechanical robustness, and superior water retention capability. They demonstrate substantial potential in structural optimization and performance stabilization, thus garnering widespread attent...

Psychological reliance and ethical orientation in entrepreneurial intentions among university students: an applied psychology approach to employment and innovation

Abstract: This study explores the role of psychological reliance, ethical orientation, and entrepreneurial intentions among university students in Pakistan using a qualitative, media-based research approach. Drawing on student media reports published on the official websites of f...

Discovery of Symmetrical o ‐Methylpyridine Substituted Tertiary Amines and Dy(III) Complexes as Metallo‐β‐Lactamase Inhibitor and Antimicrobial

Due to the lack of metallo‐β‐lactamase (MβL) inhibitors for clinical purposes, the antibiotic resistance mediated by MβL poses a clear threat to public health. In this work, twelve symmetrical o ‐methylpyridine substituted tertiary amines P1 – P6 and their Dy(III) complexes D1 –...

Prior-Informed Graph Skeleton Learning for ncRNA–Drug Resistance Association Prediction

Identifying the associations between non-coding RNAs and drug resistance (RDRAs) is crucial for uncovering resistance mechanisms and screening effective biomarkers. However, existing graph-based methods typically rely on purely data-driven learning and commonly assume a simplifie...

Crystal Structure Prediction and 0 K Stability Assessment of Hypothetical Re3Zr Polymorphs: Vibrational, Elastic, and Electronic Properties

Re3Zr has recently been proposed in the cubic Pm-3n structure. Its alternative atomic arrangements and thermodynamic position within the Re–Zr system have not been systematically resolved. In this work, CALYPSO particle-swarm structure searches combined with density functional th...

Balancing privacy and accuracy: federated learning for multi-class student performance prediction with adaptive noise differential privacy

To enhance the accuracy of performance prediction while safeguarding student data privacy, this study proposes a federated learning (FL) framework based on a 9-layer convolutional neural network (CNN) and incorporates adaptive noise differential privacy (DP) techniques. The model...