Chengdu University of Information Technology

Evolution mechanism of damage locations in drift region of SiC MOSFETs under heavy ion irradiation

This paper investigates the evolution mechanism of severe thermal damage locations in the drift region of the SiC MOSFETs under different applied drain voltages (VDS(irra)) during heavy ion irradiation using 587 MeV 36Kr ions. It is interesting to find from the post-irradiation b...

WTC-CNXGRN: An Operational Wind Turbine Clutter Detection Model for Dual-Polarization Radar Under Complex Weather

Wind turbine clutter (WTC) can severely degrade the quality of meteorological radar data, particularly under complex weather conditions. Because WTC echoes can substantially overlap with precipitation echoes, they may introduce considerable errors into weather identification and...

Hierarchy-dependent shear resistance and load sharing in root system reinforced soil: Insights from 3D DEM simulations

This paper investigates the shear reinforcement mechanisms of hierarchical tree root systems using three-dimensional discrete element method (DEM) simulations. A hierarchical root model based on Bischofia javanica was developed, explicitly representing taproots, lateral roots, an...

Hierarchical Rainfall-Intensity-Aware Hourly Precipitation Merging Based on Tree-Model Routing and LSTM Conditional Regression: Spatiotemporal Generalization and Hydrological Utility

In mountainous regions with uneven gauge coverage, satellite precipitation errors are amplified by nonlinear rainfall–runoff processes, while conventional hourly merging often relies on a single continuous regression that inadequately handles zero inflation and intensity heteroge...

The 2022 Record‐Breaking Northeastward Shift of South Asian High Since 1980: The Role of the Gulf Stream

ABSTRACT In August 2022, the South Asian High (SAH) deviated from its typical northwest–southeast displacement pattern and exhibited a record‐breaking northeastward shift over the period 1980–2024. Accompanying this displacement, a deep and persistent high‐pressure centre develop...

Dual‐Channel Event‐Triggered Model‐Free Adaptive Control for Discrete‐time Nonlinear Networked Control Systems

ABSTRACT In this article, a novel dual‐channel event‐triggered model‐free adaptive control (DCET‐MFAC) algorithm is investigated to solve the tracking control problem for nonlinear networked control systems (NCSs). Two independent event‐triggered mechanisms (ETMs) are designed wi...

Multi-omic data integration model based on inductive graph learning and cascaded co-attention for cancer classification

Abstract A comprehensive analysis of data from multiple omics is essential for devising precise therapeutic strategies for complex diseases. The effective integration and analysis of multi-omic data can boost the precise classification of disease subtypes. However, existing metho...

Multiscale Visibility Forecasting over Complex Terrain Using High-Temporal-Resolution WRF Fields and a Physics-Informed Spatial Prior

Atmospheric visibility is an important meteorological variable affecting transportation, tourism, and agricultural production. Guizhou Province, located in the eastern Yunnan-Guizhou Plateau, has complex terrain and high humidity and is prone to fog-related low-visibility events....

Enhanced early warning of extreme river discharge events in the Yangtze River Basin using atmospheric circulation signals

Early warning of extreme river discharge events (ERDEs) is crucial for water resources management and disaster reduction in the Yangtze River Basin (YRB), yet substantial uncertainty remains in their prediction. This study proposes a novel strategy to enhance ERDE early warning b...

Mamba-OrthoNet: unified global–local feature fusion and angular encoding for accurate ship orientation detection

Abstract Accurate ship orientation detection in high-resolution remote-sensing imagery is vital for maritime monitoring, traffic management, and search-and-rescue. Yet port scenes are crowded and ships vary in scale: global context separates adjacent ships, while fine local cues...

High-Performance and Scalable Hydrovoltaic Power Generation via Seawater-Driven Ion Transport in 3D Porous Non-Woven Fabrics

This study reports a simple, high-performance, and cost-effective hydrovoltaic power generator driven by natural seawater. The device combines 3D porous non-woven fabrics with asymmetric copper–aluminum electrodes, offering flexible design and excellent environmental adaptability...

Speech feature decoding and classification based on contact-type piezoelectric sensors and deep learning

Purpose Speech has become the preferred method of interaction for human-machine interfaces and internet of things (IoT) control; however, traditional air-conduction microphones are susceptible to environmental noise interference and lack sufficient security. To address these chal...

Evaluation of NEX-GDDP-CMIP6 and CMIP6 for Extreme High Temperature Frequency and Intensity in the Sichuan–Chongqing Region with Future Projections

Based on CN05.1 observational data, this study systematically evaluates the performance of the NASA Earth Exchange Global Daily Downscaled Projections (NEX-GDDP-CMIP6) and the original Coupled Model Intercomparison Project Phase 6 (CMIP6) in simulating extreme high-temperature (E...

Topology-aware self-supervised multivariate KPI anomaly detection and root cause node localization for network operations

Multivariate key performance indicator (KPI) streams collected in network operations contain rich evidence for anomaly diagnosis, but practical deployment remains difficult because fault labels are scarce, KPI dependencies are strong across time and metrics, and fault effects pro...

Time‐State‐Dependent Reliability Analysis of Wheel‐Rail Contact Parameter Degradation for High‐Speed Trains

ABSTRACT Wheel‐rail contact parameters are essential to high‐speed‐train stability, but their stochastic degradation complicates reliability analysis. A time‐state‐dependent reliability method is developed for complex thresholds defined implicitly or probabilistically. Different...

Does Smart City Policy Widen the Urban–Rural Income Gap? Evidence from the Yangtze River Delta Using a Double Machine Learning Approach

The urban–rural income gap remains a major obstacle to achieving common prosperity and poses a key challenge for developing countries undergoing modernization. Smart city initiatives may reshape wealth creation and income distribution while promoting urban development. Using pane...

Motivational Trajectories of Chinese Secondary School EFL Learners: Understanding Demotivation and Remotivation Through a Bioecological Lens

This study drew on bioecological systems theory to investigate factors influencing demotivation and remotivation among Chinese secondary school EFL learners. Adopting a sequential explanatory mixed-methods design, 129 Grade-12 students were asked to create motivational change gra...

Health-related fitness mediates the longitudinal association between engagement in fundamental movement skill-related activities and social interaction abilities in the ABCD study

Under the Know it-Do it-Love it (KDL) framework, structured physical activity is expected to support adolescents’ social development. Guided by the KDL concept, this study examined the longitudinal association between engagement in fundamental movement skill (FMS)-related activit...

Effects of Lanthanum Doping on Structural Evolution, Morphological Features, and Flux Pinning in FeSe0.5Te0.5 Single Crystals with Machine Learning Assistance

Abstract Single crystals of La x Fe 1− x Se 0.5 Te 0.5 ( x = 0, 0.02, 0.04, 0.06, 0.08) were grown using the self-flux method. A systematic investigation of the effects of La addition revealed changes in the lattice parameters, with the lattice parameter a decreasing and the latt...

Improving Accuracy of Low-Altitude Three-Dimensional Wind Field Reconstruction via Multi-Task Learning

The demand for high-precision 3D wind fields in low-altitude weather services is increasing. To improve reconstruction accuracy, the high precision of 2D near-surface single-level products and the vertical structure of 3D numerical model outputs are combined to establish a mappin...