Dalian University of Technology

A Survey of Deep Learning Based Software Refactoring

Refactoring is a critical activity in software engineering used to improve software quality and maintainability. Increasingly, deep learning (DL) techniques are being applied to software refactoring to overcome the limitations of traditional, manually designed heuristics. However...

On the total positivity of transformation matrices

The transformation of the ℎ -vector of a finite simplicial complex under an ℱ -uniform subdivision is encoded by a transformation matrix. Mu and Welker conjectured that the transformation matrix of the barycentric subdivision is totally positive. In this paper, we give a new comb...

An improved seismic fragility analysis framework with reduced dependence on predefined probabilistic demand-model assumptions

In Performance-Based Earthquake Engineering (PBEE), traditional seismic fragility assessments rely heavily on a priori statistical assumptions, such as log-normal distributions and homoscedasticity. These assumptions frequently fail to represent the profound heteroscedasticity an...

Wind-field prediction and sparse reconstruction around polar ship superstructures using reduced-order data-driven methods

Accurate acquisition of wind fields around polar ship superstructures is essential for cold-protection design and local wind-environment assessment. This study proposes a unified framework integrating full-scale CFD, proper orthogonal decomposition (POD), sparse-measurement recon...

Does supply chain digitalization affect corporate tax avoidance?

Purpose The impact of supply chain digitization on corporate tax avoidance is a critical yet under-explored issue in tax governance within the digital economy. Against this backdrop, this paper aims to conduct an in-depth analysis of the underlying mechanisms and boundary conditi...

Nanowire-Threaded NiZn Layered Double Hydroxide Nanocage Heterostructures for High-Performance Supercapacitors

Abstract Layered double hydroxides (LDHs), featuring tunable compositions and unique layered structures, have been widely investigated as electrode materials for supercapacitors. However, their electrochemical performance is often limited by intrinsically low electrical conductiv...

Dual regulation of CO2 hydrate formation by clay mineral and kinetic promoter: mechanistic insights for marine sequestration

Hydrate-based CO 2 sequestration is recognized as a promising strategy to mitigate global warming due to its large storage potential and long-term stability. However, the role of clay minerals widely distributed in marine sediments in regulating hydrate formation remains poorly u...

Design and comparative assessment of the mooring system for the deepwater artificial seabed in internal solitary waves

The Deepwater Artificial Seabed (DAS), a novel submerged floating structure for offshore oil production, mitigates the direct impact of harsh sea surface conditions but faces severe challenges from large-amplitude internal solitary waves (ISWs) in the South China Sea. The mooring...

Catalyst design in heterogeneous deuteration: recent advances and perspectives

Deuterium-labeled compounds have become indispensable across pharmaceutical research and development, analytical testing, and materials science, driving urgent demand for efficient deuteration methodologies. However, current synthetic routes are frequently constrained by high cos...

Sub-scale model design of wind turbine blade based on stiffness similarity

The growth of the wind energy industry has led to the production of increasingly larger wind turbine blades, some extending beyond one hundred meters. However, the substantial dimensions of these blades have significantly inflated the expenses associated with ground tests. This s...

Velocity adaptive preview path tracking control for autonomous vehicles using deep reinforcement learning with Lyapunov function-based reward shaping

Traditional rule-based path tracking controllers of autonomous vehicles (AVs) often struggle with nonlinear vehicle dynamics, parameter tuning, and changes in road conditions. Learning-based methods partly address these issues, but remain limited in adapting to velocity changes,...

Exponential strain energy density-based dynamic failure criterion for jacket offshore wind turbines under extreme seismic loading

Jacket offshore wind turbines (OWTs) are increasingly deployed in seismically active regions. However, existing failure criteria for OWTs under seismic loading rely on empirical displacement or stress thresholds that lack theoretical justification. To address this, the present st...

Enhancing Large Language Models for document-level relation triple extraction via structural awareness and contrastive learning

In recent years, Large Language Models (LLMs) have demonstrated superior performance in information extraction tasks. Leveraging these models for Document-Level Relation Extraction (DocRE) can benefit from their powerful generative capabilities. However, we observe that LLMs stil...

Numerical study on track-sediment dynamics and travel stability of deep-sea mining vehicles

The travel stability of deep-sea mining vehicles is critical for ensuring the operational efficiency of deep-sea mining systems. This study developed a numerical travel model using the MBD-DEM method and validated its accuracy through travel experiments. Considering the effects o...

Tightly Coupled FeNi Alloy/NiO Interface Derived from an LDH Precursor Promotes Deep Hydrodeoxygenation of p -Cresol

Abstract Hydrodeoxygenation (HDO) of lignin derivatives is a promising strategy for biomass utilization, but its catalytic performance is often unsatisfactory for non-noble metal catalysts. This hinders the industrialization process of biomass utilization. Herein, we obtained a F...

Structural performance of offshore wind turbines under wind and seafloor ground motions using a coupled seismic-aerodynamic analysis method

This study proposes a fully coupled seismic-aerodynamic analysis method of offshore wind turbines (OWT) through the modular coupling and bidirectional data exchange, which integrates synthesized seafloor ground motions, steel damage evolution model, and soil-structure interaction...

3D autonomous dynamic path planning for UUVs based on obstacle motion prediction and reinforcement learning

Unmanned Underwater Vehicles (UUVs) are widely applied in marine exploration and other missions due to their low cost and high reliability. Point-to-point path planning serves as the foundation for accomplishing various marine tasks. The limitations of sonar sensor detection pose...

Experimental investigation of inlet-temperature effects on energy separation in a Ranque–Hilsch vortex tube under pressure–temperature coupling

Inlet temperature directly determines the thermodynamic state of the working gas in a Ranque–Hilsch vortex tube (RHVT), but its role in pressure-driven energy separation remains insufficiently clarified, particularly under coupled variations in inlet pressure and cold mass fracti...

Simulated reductions in heterogeneous isoprene epoxydiol reactive uptake from aerosol morphology in the contiguous United States using the Community Multiscale Air Quality Model (CMAQv5.3.2)

Aerosol particles contain complex mixtures of polar and non-polar species that can undergo organic-inorganic phase separation. In phase-separated aerosol particles, the phase state of the outer organic coating can modulate heterogeneous chemistry. Heterogeneous chemistry leading...

Discussion on Decompression Path and Wave Speed of Supercritical and Dense CO2 with Impurities

Decompression of dense and supercritical CO2 containing impurities was investigated using an equilibrium isentropic model coupled with NIST REFPROP 10 and GERG-2008. The pressure plateau was determined from the intersection of the isentropic path and the bubble line. The adopted...