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View article: Effects of Tensile Stress on Energy Storage and Dielectric Properties of <scp>BOPP</scp> Film
Effects of Tensile Stress on Energy Storage and Dielectric Properties of <span>BOPP</span> Film Open
Dielectric films are subjected to continuous tensile stresses after being manufactured into capacitors, which can pose significant challenges for long‐term performance and reliability. In this paper, the influence of tensile stress during …
View article: Steel slag powder as supplementary cementitious material in UHPC: influence on key properties and microstructure
Steel slag powder as supplementary cementitious material in UHPC: influence on key properties and microstructure Open
The large quantity of steel slag deposit has caused great environmental pressure. This study aims to recycle steel slag powder (SSP) as a supplementary cementitious material in the production of eco-friendly ultra-high performance concrete…
View article: MAPO: Mixed Advantage Policy Optimization
MAPO: Mixed Advantage Policy Optimization Open
Recent advances in reinforcement learning for foundation models, such as Group Relative Policy Optimization (GRPO), have significantly improved the performance of foundation models on reasoning tasks. Notably, the advantage function serves…
View article: Optical Imaging‐Based 3D Reconstruction of Electrical Tree in Polypropylene Cable Insulation Under Mechanical Bending
Optical Imaging‐Based 3D Reconstruction of Electrical Tree in Polypropylene Cable Insulation Under Mechanical Bending Open
This study proposes a nondestructive optical imaging‐based three‐dimensional (3D) reconstruction method to analyse electrical tree propagation in polypropylene (PP) cable insulation under mechanical bending. The technique combines focus‐st…
View article: Nondestructive Measurement of Residual Stress on Epoxy Insulators Using Thermoelastic Method
Nondestructive Measurement of Residual Stress on Epoxy Insulators Using Thermoelastic Method Open
Residual stress is inevitable in epoxy insulators, which easily leads to small cracks and even insulation breakdown during the operation of gas‐insulated transmission line (GIL)/gas‐insulated switchgear (GIS). This study proposes a nondest…
View article: EventTSF: Event-Aware Non-Stationary Time Series Forecasting
EventTSF: Event-Aware Non-Stationary Time Series Forecasting Open
Time series forecasting plays a vital role in critical domains like energy and transportation, where non-stationary dynamics are deeply intertwined with events in other modalities such as texts. However, incorporating natural language-base…
View article: REX-RAG: Reasoning Exploration with Policy Correction in Retrieval-Augmented Generation
REX-RAG: Reasoning Exploration with Policy Correction in Retrieval-Augmented Generation Open
Reinforcement learning (RL) is emerging as a powerful paradigm for enabling large language models (LLMs) to perform complex reasoning tasks. Recent advances indicate that integrating RL with retrieval-augmented generation (RAG) allows LLMs…
View article: Dielectric functionally graded materials for control of electric field and particle motion by topological design and 3D printing
Dielectric functionally graded materials for control of electric field and particle motion by topological design and 3D printing Open
High-voltage gas-insulated switchgears (GIS) are critical equipment in electric power systems. The bowl-shaped spacer, suffers from abnormal discharges caused by electric field distortion and metal particle contamination, accounting for up…
View article: Curing kinetics and residual stress modelling of gas‐insulated transmission lines tri‐post insulators
Curing kinetics and residual stress modelling of gas‐insulated transmission lines tri‐post insulators Open
The tri‐post insulator is a core component within the gas‐insulated transmission lines (GIL), providing both electrical insulation and mechanical support. Typically, it is high‐temperature cured through vacuum casting of a mixture of epoxy…
View article: A Novel Artificial Eagle-Inspired Optimization Algorithm for Trade Hub Location and Allocation Method
A Novel Artificial Eagle-Inspired Optimization Algorithm for Trade Hub Location and Allocation Method Open
Aiming for convenience and the low cost of goods transfer between towns, this paper proposes a trade hub location and allocation method based on a novel artificial eagle-inspired optimization algorithm. Firstly, the trade hub location and …
View article: Graph Neural Network Determine the Ground State Structures of Boron or Nitride Substitute C60 Fullerenes
Graph Neural Network Determine the Ground State Structures of Boron or Nitride Substitute C60 Fullerenes Open
Substitutional doping of fullerenes represents a significant category of heterofullerenes. Due to the vast number of isomers, confirming the ground state structure poses considerable challenges. In this study, we generated isomers of C60−n…
View article: Space Charge and Breakdown Properties of PP‐Based Insulation Interface in Extrusion Molded Joint for HVDC Submarine Cables
Space Charge and Breakdown Properties of PP‐Based Insulation Interface in Extrusion Molded Joint for HVDC Submarine Cables Open
This paper focuses on the space charge and breakdown characteristics of polypropylene (PP)‐based insulation interface in extrusion moulded joint (EMJ) for high‐voltage direct current (HVDC) submarine cables. The double‐layered flat samples…
View article: How Significant Are the Real Performance Gains? An Unbiased Evaluation Framework for GraphRAG
How Significant Are the Real Performance Gains? An Unbiased Evaluation Framework for GraphRAG Open
By retrieving contexts from knowledge graphs, graph-based retrieval-augmented generation (GraphRAG) enhances large language models (LLMs) to generate quality answers for user questions. Many GraphRAG methods have been proposed and reported…
View article: GoMatching++: Parameter- and Data-Efficient Arbitrary-Shaped Video Text Spotting and Benchmarking
GoMatching++: Parameter- and Data-Efficient Arbitrary-Shaped Video Text Spotting and Benchmarking Open
Video text spotting (VTS) extends image text spotting (ITS) by adding text tracking, significantly increasing task complexity. Despite progress in VTS, existing methods still fall short of the performance seen in ITS. This paper identifies…
View article: GeoLLaVA-8K: Scaling Remote-Sensing Multimodal Large Language Models to 8K Resolution
GeoLLaVA-8K: Scaling Remote-Sensing Multimodal Large Language Models to 8K Resolution Open
Ultra-high-resolution (UHR) remote sensing (RS) imagery offers valuable data for Earth observation but pose challenges for existing multimodal foundation models due to two key bottlenecks: (1) limited availability of UHR training data, and…
View article: Reasoning-OCR: Can Large Multimodal Models Solve Complex Logical Reasoning Problems from OCR Cues?
Reasoning-OCR: Can Large Multimodal Models Solve Complex Logical Reasoning Problems from OCR Cues? Open
Large Multimodal Models (LMMs) have become increasingly versatile, accompanied by impressive Optical Character Recognition (OCR) related capabilities. Existing OCR-related benchmarks emphasize evaluating LMMs' abilities of relatively simpl…
View article: Knowledge-aware contrastive heterogeneous molecular graph learning
Knowledge-aware contrastive heterogeneous molecular graph learning Open
Molecular representation learning is pivotal in predicting molecular properties and advancing drug design. Traditional methodologies, which predominantly rely on homogeneous graph encoding, are limited by their inability to integrate exter…
View article: Faster MoE LLM Inference for Extremely Large Models
Faster MoE LLM Inference for Extremely Large Models Open
Sparse Mixture of Experts (MoE) large language models (LLMs) are gradually becoming the mainstream approach for ultra-large-scale models. Existing optimization efforts for MoE models have focused primarily on coarse-grained MoE architectur…
View article: Advances in Automated Fetal Brain MRI Segmentation and Biometry: Insights from the FeTA 2024 Challenge
Advances in Automated Fetal Brain MRI Segmentation and Biometry: Insights from the FeTA 2024 Challenge Open
Accurate fetal brain tissue segmentation and biometric analysis are essential for studying brain development in utero. The FeTA Challenge 2024 advanced automated fetal brain MRI analysis by introducing biometry prediction as a new task alo…
View article: Efficient stripping and hydroxylating of h-BN filler by plasma bubble treatment for composite insulation improvement
Efficient stripping and hydroxylating of h-BN filler by plasma bubble treatment for composite insulation improvement Open
Hexagonal boron nitride (h-BN) has emerged as a critical thermal management material in electrical insulation systems due to its superior thermal conductivity and dielectric properties. Nevertheless, suboptimal filler-matrix interfacial co…
View article: AnesSuite: A Comprehensive Benchmark and Dataset Suite for Anesthesiology Reasoning in LLMs
AnesSuite: A Comprehensive Benchmark and Dataset Suite for Anesthesiology Reasoning in LLMs Open
The application of large language models (LLMs) in the medical field has garnered significant attention, yet their reasoning capabilities in more specialized domains like anesthesiology remain underexplored. To bridge this gap, we introduc…
View article: Model Hemorrhage and the Robustness Limits of Large Language Models
Model Hemorrhage and the Robustness Limits of Large Language Models Open
Large language models (LLMs) demonstrate strong performance across natural language processing tasks, yet undergo significant performance degradation when modified for deployment through quantization, pruning, or decoding strategy adjustme…
View article: Effect of gamma‐ray irradiation on electrical conductivity of polypropylene composite for nuclear cable insulation
Effect of gamma‐ray irradiation on electrical conductivity of polypropylene composite for nuclear cable insulation Open
In this paper, the effect of gamma‐ray irradiation on the electrical conductivity of polypropylene (PP) composites has been studied. The samples are prepared using PP and styrene–ethylene–butylene–styrene elastomer with contents ranging fr…
View article: ResNet-50-NTS digital painting image style classification based on Three-Branch convolutional attention
ResNet-50-NTS digital painting image style classification based on Three-Branch convolutional attention Open
Addressing the difficulties and challenges faced by current traditional digital painting image style classification methods, the study enhances the residual neural network model by incorporating a three-branch convolutional attention mecha…
View article: Effects of defect locations and loading voltages on breakdown of GIL tri-post insulators
Effects of defect locations and loading voltages on breakdown of GIL tri-post insulators Open
The tri-post insulator is a critical component in Gas Insulated Transmission Lines (GIL). However, breakdown incidents involving tri-post insulators are frequent, posing risks to the safety and reliability of GIL systems. This paper invest…
View article: Leveraging Textual Anatomical Knowledge for Class-Imbalanced Semi-Supervised Multi-Organ Segmentation
Leveraging Textual Anatomical Knowledge for Class-Imbalanced Semi-Supervised Multi-Organ Segmentation Open
Annotating 3D medical images demands substantial time and expertise, driving the adoption of semi-supervised learning (SSL) for segmentation tasks. However, the complex anatomical structures of organs often lead to significant class imbala…
View article: UniUIR: Considering Underwater Image Restoration as An All-in-One Learner
UniUIR: Considering Underwater Image Restoration as An All-in-One Learner Open
Existing underwater image restoration (UIR) methods generally only handle color distortion or jointly address color and haze issues, but they often overlook the more complex degradations that can occur in underwater scenes. To address this…
View article: Galloping behavior of insulated overhead transmission line based on aerodynamic analysis
Galloping behavior of insulated overhead transmission line based on aerodynamic analysis Open
The galloping of iced transmission line under extreme weather conditions, will lead to significant electrical faults and structural damage, and is becoming a serious issue that threatens the safe and stable operation of the power grid. In …