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Dynamic Characteristics of Composite Vibration Isolators with Combined Linear-Nonlinear Stiffness
Vibration isolation systems offer effective protection for precision instruments. The design of high-performance vibration isolation mechanisms is...
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THiNK: Can Large Language Models Think-Aloud?
Assessing higher-order thinking skills in large language models (LLMs) remains a fundamental challenge, especially in tasks that go beyond...
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A Single-Track Absolute Shaft Encoding Method
To address the coding length discretization constraints and signal transmission reliability issues present in traditional m-sequence encoding methods...
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Preserving Topological Information for Social Network Condensation via Knowledge Distillation
The application of Graph Neural Networks (GNNs) to large-scale social network analysis is often hindered by their significant computational cost....
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Carbon Footprint Prediction at the Manufacturing Stage During Large Language Model-Driven Product Design and Its Application in Vibration Isolation Platform
Accurate and efficient carbon footprint prediction during product manufacturing stages holds guiding significance for achieving low-carbon product...
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High-Precision Motion Control of Robotic Manipulators Using Adaptive-Gain Dynamic TDC Integrated with Sliding Mode Control
This paper proposes an improved control scheme for robotic manipulators that combines Adaptive Sliding Mode Control (ASMC) with Time Delay Control...
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DebugTA: An LLM-Based Agent for Simplifying Debugging and Teaching in Programming Education
In programming education, the Debugging and Teaching (DT) task, where instructors guide students to rectify erroneous code, is fundamental yet...
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Design and Analysis of a Magnetic-Tracked Wall-Climbing Robot with Auxiliary Obstacle-Crossing Mechanism
In response to the inspection requirements of large steel plate warehouses, a magnetic-tracked wall-climbing robot with an auxiliary...
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A Selection Method for Joint Components of Heavy-Duty Industrial Robots by Considering Balance System
The joints of heavy-duty industrial robots are critical components that ensure load-bearing capacity, significantly impacting operational efficiency,...
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Urban Knowledge Graph Construction, Representation and Application
The development of smart cities relies on the growing research in data-driven urban intelligence, driven by the tremendous accumulation in urban data...
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Mathematical Fluid Dynamics – Hyperbolic Balance Laws across the Scales Hirschegg, Austria 2025
This volume presents seven invited lecture series from the DFG Priority Programme Hyperbolic Balance Laws in Fluid Mechanics: Complexity, Scales,...
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Retrieval of Surface Soil Moisture by Multi-Source Remote Sensing Images Methods and Case Studies
This book focuses surface soil moisture inversion through analysis of different remote sensing data sources. The main content includes background,...
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Control of Renewable Power Systems A Fully Actuated System Approach
In an era of escalating energy demands and environmental challenges, mastering the complexities of renewable power systems is essential. This open...
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Computational Intelligence for Remote Sensing Image Change Detection
Nowadays, remote sensing systems and technologies have been widely studied and applied in environmental monitoring, land survey, and disaster...
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Distributed Online Optimization and Game Theory
With the advent of embodied intelligence, big data, privacy preservation, and dynamic environments, etc., distributed real-time decision-making over...
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Inhibition of Pax6 sumoylation suppresses the tumorigenicity of pancreatic cancer cells
Pax6 is a critical transcription factor that regulates the development of multiple tissues, including the nervous system, ocular tissues, and...
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Multiscale heat budget analysis of upper ocean responses to Typhoon Kalmaegi (2014) in the South China Sea
A comprehensive understanding of the upper ocean response to typhoons is critical for improving typhoon intensity prediction. Mesoscale and...
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Overcoming modality laziness in multi-modal multi-instance learning for immune repertoire classification
Immune repertoire classification (IRC) is a typical multi-instance learning (MIL) problem that is widely applied in fields such as vaccine...
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Complement C5a/C5aR1 pathway facilitates glioblastoma progression via fostering glioma stem cell-macrophage symbiosis
Tumor-associated macrophages (TAMs) symbiotically interact with glioma stem cells (GSCs) to facilitate GSCs stemness maintenance and glioblastoma...
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Comprehensive genomic and computational insights into Brucella suis: pan-genome analysis, evolutionary perspectives, and in-silico vaccine design
BackgroundBrucella suisis a zoonotic intracellular pathogen responsible for brucellosis, mainly in swine and humans. Although numerous genome...