Wuhan University of Technology

Atomically Thin 2D Perovskite/MoS 2 Heterojunctions With Programmable Twist Angle for High‐Performance Photodetection

ABSTRACT Twist angle provides a versatile geometric degree of freedom to engineer interfacial coupling and carrier transport in van der Waals heterostructures. However, deterministic control of twist and its quantitative correlation with device performance remain challenging in h...

Progressive Attention-Guided Two-Stage Transfer Learning for Few-Shot Cross-Condition Bearing Fault Diagnosis

Cross-condition bearing fault diagnosis suffers from severe performance degradation due to domain shift across different operating conditions, especially when only a few labeled target-domain samples are available. To address this challenge, this paper proposes a progressive atte...

Opinion-driven selective interaction promotes cooperation: an evolutionary game approach with discrete multidimensional opinions

Abstract Motivated by the need to uncover how opinion heterogeneity shapes interaction patterns and the emergence of cooperation in social dilemmas, this study investigates the role of opinion-driven mechanisms in evolutionary game dynamics. It integrates discrete, multidimension...

I2M: a box-based detection framework for molecular structure recognition from images

Accurate recognition and reconstruction of chemical structures from molecular images is critical in cheminformatics, with applications spanning drug discovery, materials science, and patent analysis. However, much of this chemical matter exists in implicit forms that are not dire...

Digitalization and Green Total Factor Productivity: Evidence from Chinese Manufacturing

Green total factor productivity (GTFP) is a central measure of high-quality green development because it captures productivity performance under resource and environmental constraints. The low-carbon transition of manufacturing therefore requires a clearer understanding of how di...

Ship Docking Motion Prediction and Collision-Risk Early Warning Using a Physics–SVR Model

Reliable collision-risk warning during low-speed ship docking requires accurate and efficient hydrodynamic prediction. This study develops a physics-SVR (support vector regression) framework combining a three-degree-of-freedom maneuvering model with three SVR models that learn re...

School-Based Versus Clinic-Based Interventions for PTSD in Children and Adolescents: A Systematic Review and Meta-Analysis on Their Differences in Effectiveness and Retention Rate

This systematic review and meta-analysis was conducted across multiple databases, including MEDLINE, PsycINFO, EMBASE, ERIC, PubMed, SCOPUS, Web of Science, the Published International Literature on Traumatic Stress, Cochrane Central Register of Controlled Trials, China National...

Core ( PCL )‐Shell ( PEBA ) Nanofiber Interleaves for Toughening and Staged Thermal Recovery of CFRP /Epoxy Laminates

ABSTRACT This work developed thermally responsive carbon fiber/epoxy laminates based on PCL@PEBA core‐shell electrospun nanofiber interleaves to improve both interlaminar toughness and post‐damage performance recovery. The core‐shell nanofibers were prepared by coaxial electrospi...

Comparative Safety Assessment of Solid Gravity Energy Storage Pathways Using the Analytic Hierarchy Process

Solid gravity energy storage (SGES) has emerged as a promising long-duration energy storage option, but systematic safety comparisons among its principal technology pathways remain limited. This study develops a unified expert-based framework for the comparative safety screening...

Power system‐oriented extreme weather scenario identification: Hybrid classical‐quantum learning

Abstract Weather‐dependent renewable energy makes modern power systems more sensitive to extreme weather. Therefore, reliable identification of power system‐oriented extreme weather scenarios is important for reliability assessment, resilience analysis, and risk‐oriented operatio...

A Condition-Disentangled Representation Optimization Framework for Domain Generalization Under Distribution Shift: Application to Fault Diagnosis

Domain generalization under distribution shift remains a fundamental challenge in representation learning, where predictive models trained on multiple source domains are expected to generalize to previously unseen operating conditions. For rotating machinery fault diagnosis, vari...

Design and Multi-Stage Assessment of a Rigid–Flexible Hybrid Floating Bridge for Rapid Deployment and Maneuvering

Rapidly deployable floating bridges face coupled challenges in compact deployment, structural load-bearing, and controllable module maneuvering, which cannot be fully evaluated through a single-stage structural or hydrodynamic assessment. To close this gap, this study proposes a...

Collaborative Inference and Learning between Edge SLMs and Cloud LLMs: A Survey of Algorithms, Execution, and Open Challenges

As large language models (LLMs) evolve, deploying them solely in the cloud or compressing them for edge devices is increasingly inadequate due to latency, privacy, cost, and personalization concerns. This survey examines a collaborative paradigm in which cloud-based LLMs and edge...

Beyond Surface Catalysis: Dynamic Cation‐Regulated Interfacial Water Gating for Aqueous Polysulfide Electrochemistry

ABSTRACT Aqueous sulfur electrochemistry holds great promise for high‐energy density storage but is currently constrained by sluggish redox kinetics and severe polarization. Despite extensive efforts in catalyst design to enhance polysulfide adsorption, kinetic improvements have...

TPMS-based hierarchically infilled metamaterials via stress-guided strategy for exceptional thermo-mechanical synergy

Triply periodic minimal surface (TPMS) lattice metamaterials, featuring lightweight characteristics, high load-bearing efficiency, and tailorable heat-transfer responses, show great potential for aerospace structures and thermal management systems. A single topology rarely optimi...

Multidimensional technical performance in the 2024 Paris Olympic Women’s Basketball Tournament: an entropy−weighted rank−sum ratio evaluation with a USA–France final case analysis

Elite women’s basketball performance is multidimensional, yet transparent tournament−level approaches for integrating heterogeneous technical indicators remain limited. This study applied an entropy−weighted rank−sum ratio (WRSR) framework to the 2024 Paris Olympic Women’s Basket...

Scoliosis screening system based on improved optical photogrammetry using a Kinect sensor

Abstract Background Scoliosis has become an important factor affecting human health, and there is a trend of younger age, so it is necessary to carry out scoliosis screening in communities and schools. However, common methods of scoliosis screening, such as manual physical examin...

Coordination Engineering of Cobalt Single-Atom Catalysts for Periodate Activation with Regulated Reactive-Species Production toward Emerging Contaminants Degradation

Abstract Fenton-like reaction of heterogeneous periodate (PI) activation exhibits high efficiency for emerging contaminants degradation due to the production of iodine-centered radicals, and single-atom metal catalysts demonstrate high activity. However, precisely controlling the...

Hydrodynamic characteristics of an ILCA6 sailing dinghy in calm water and head waves

Abstract The ILCA6 (formerly Laser Radial) sailing dinghy frequently encounters wave conditions during training and competition, where wave-induced resistance and ship motions can significantly influence sailing performance. However, systematic investigations of the hydrodynamic...

Value-Flow Symmetry and Sustainability in Digital Innovation Platform Ecosystems: A Heterogeneous-Actor Lotka–Volterra Analysis

Digital innovation platform ecosystems can scale rapidly without becoming durable because broad participation does not ensure sustained value circulation. Existing models homogenize complementors, obscuring horizontal coopetition among distinct groups and its interaction with ver...