Beijing University of Technology

Hybrid Deep Learning with Multi-Source Data Fusion for Deep Groundwater-Level Prediction and Anomaly Detection

Deep groundwater dynamics, influenced by multiple factors, exhibit multi-scale periodicity, nonlinearity, and non-stationarity, posing significant challenges for reliable groundwater level prediction and anomaly detection. To address this issue, this study develops a hybrid deep...

Integrated BSEM-Raman reveals the spatial heterogeneity of mineralogical phases in KOH-GGBS pastes

The large volume utilisation of GGBS from locally available sources remains challenging in China because compositional variability influences the long-term degree of slag reaction, spatial heterogeneity, assemblage, and chemistry of the resulting reaction products. This study int...

Optimal mix proportion of high-strength fully recycled coarse aggregate concrete considering performance, environmental impact and cost

High-strength fully recycled coarse aggregate concrete (HSFRCAC) shows promising prospects in civil engineering. Well-determined mix proportions considering workability, strength, environmental impact (EI) and cost are essential for promoting HSFRCAC in practice. Existing mix des...

Seismic resilience assessment of urban rail transit network affected by the operational modes

Urban rail transit (URT) networks are vital to metropolitan mobility, and their performance under seismic hazards is crucial for urban resilience. In daily operations of URT, the section-based mode, involving partial services across fewer stations, is commonly adopted to meet the...

Major-axis flexural buckling behavior of welded ultra-high-strength steel I-section members

The increasing application of ultra-high-strength steel (UHSS) in high-rise buildings and long-span structures demands a thorough understanding of its structural behavior. This paper presents the systematic study on the major-axis flexural buckling behaviour of Q1100 ultra-high-s...

Information-theoretic development of a finite-wavelength-corrected ground-motion intensity measure for underground structures

The appropriate selection of ground-motion intensity measures (IMs) directly affects the reliability of probabilistic seismic demand models and fragility assessments for underground structures. To address the limitations of existing studies, which have primarily focused on screen...

Supervisor incivility and employee withdrawal in the tourism sector

Abstract The issue of workplace incivility is becoming more prevalent in service-oriented industries due to its negative effects on employee well-being and organizational performance. However, previous research has primarily examined isolated outcomes of supervisor incivility, pr...

Wave attenuation mechanisms in inerter-integrated locally resonant metamaterials

To address the trade-off between bandgap (BG) tunability and energy dissipation in low-frequency vibration suppression, this study proposes a one-dimensional locally resonant acoustic metamaterial (1D LRAM) with inter-unit-cell inerter-based mechanical networks (MNs). A unified f...

High-fidelity 3D garment reconstruction via dual-detail aware Gaussian splatting and diffusion

3D garment reconstruction is the digital creation of 3D garment models, essential for virtual try-on and digital content creation. Existing 3D garment reconstruction methods often adopt volumetric representations or apply uniform sampling to Gaussian‑splat primitives. These choic...

An identification and classification framework for bridge cracks using transposed convolution-CBAM-Segformer with transfer learning

Bridge cracks seriously affect structural bearing capacity, durability and traffic safety, making accurate and efficient crack detection essential for bridge maintenance. To address the problems of feature degradation and upsampling information loss in existing segmentation model...

How certification credibility and benefit framing shape heterogeneous consumer responses to sustainable products in e-commerce

On e-commerce platforms, sustainable products succeed or fail on a compressed product page where certification logos, benefit descriptions, and platform trust cues compete for attention. Retailers treat these cues as interchangeable signals, yet they address two different questio...

Improved low-temperature dehydrogenation kinetics and cyclic stability of Mg(NH2)2-2LiH catalyzed by K2TiF6 additive

Li-Mg-N-H materials are promising for on-board hydrogen storage but limited by sluggish low-temperature kinetics and poor cycling. In this work, three dual-cation fluorides (K 2 TiF 6 , K 2 TaF 7 , K 2 NbF 7 ) were selected as catalysts for Mg(NH 2 ) 2 -2LiH, further K 2 TiF 6 do...

Decoding technology transition process through consumer behavior: experience from China’s electric vehicle evolution

The competition between electric vehicles (EVs) and internal combustion engine vehicles is fundamentally shaped by how heterogeneous consumers respond to technological and market change. This study develops a decision-based framework that links micro-level adoption behavior with...

FIMA-Net: a network with focused feature interaction fusion module with lightweight scale-aware attention for skin lesion image segmentation

Abstract Accurate segmentation of lesion regions in skin images plays a critical role in computer-aided diagnosis systems for skin lesions. However, due to the inherently complex structure of skin lesion images and the low contrast between some lesion regions and the surrounding...

Prefabricated steel-concrete composite beams with distributed Y-shaped connectors embedded in UHPC: experimental investigation and analytical model

The concept of prefabricated steel-concrete composite beams (PSCCBs) in bridge engineering provides innovative insights into the design of composite beams. To further enhance the interfacial shear behavior and overall flexural performance, improve construction quality, and reduce...

Sex Differences in Aggressive Traits and Superior Temporal Cortical Responses to Monetary Loss

Background: Individuals vary in aggression traits. Here, we investigated how individual aggression is associated with altered reward and punishment processing in the brain and the neural bases of sex differences. Methods: Aggression was assessed by the Achenbach Adult Self-Report...

Interaction Ritual Chain Theory-Based Immersive Interaction Design for Cultural Heritage

Immersive technologies offer new possibilities for cultural heritage, yet their potential to foster social interaction, emotional connections, and cultural identity at cognate heritage sites remains underexplored. Based on Interaction Ritual Chain (IRC) theory, this study develop...

Effect of Al 2 O 3 substitution for SiO 2 on fluorosilicate glass-ceramics fabricated from fluoride-containing sludge

Abstract The safe disposal and resource utilization of industrial fluoride-containing sludge represent a critical environmental challenge. In this study, high-performance fluorcanasite glass-ceramics were successfully synthesized from industrial sludge via a melt-quenching follow...

Volume-query-based high-accuracy finite element modelling and capacity assessment of CFST columns with local random overlapping pitting corrosion

Existing finite element (FE) models for CFST columns with pitting corrosion are typically built upon the simplified assumption that corrosion pits do not overlap, which deviates from actual engineering scenarios. Furthermore, the pit-volume-superposition method used in these mode...

Homologous association learning network for gearbox fault diagnosis under time-varying speed conditions

Under time-varying speed conditions, vibration signals measured from rotating machinery, especially planetary gearboxes, are non-stationary, and fault features of the same category may drift across different speed ranges, thereby causing distribution mismatch among variable-speed...