Chenglong Yu

High-fidelity random micro-vibration reproduction via a stinger-free magneto-pneumatic platform and multi-resolution adaptive FD-ILC

Chenglong Yu, Tianyi Li, Xuyang Yu, Chunguang Fan et autres

High-fidelity broadband random micro-vibration reproduction is a fundamental prerequisite for vibration-isolation performance evaluation and metrological calibration of ultra-precision equipment. Unfortunately, conventional ground excitation systems generally rely on mechanical stingers for force transmission, which tend to introduce parasitic stiffness and nonlinear friction. Moreover, …

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A PCB-Coil-Mover Maglev Positioning Stage with Residual-Driven Adaptive Fusion State Observation for High-Bandwidth Control

J J Ma, Chunguang Fan, Keping Chen, Enshuo Liu et autres

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PPh 3 enhanced catalytic conversion of CO 2 to ethanol over a Ru–Co catalyst

Jia Guo, Ying Wang, Xianyu Meng, Ziyu Li et autres

A multifunctional PPh 3 ligand enables efficient ethanol synthesis from CO 2 , methanol, and H 2 , using low-cost, readily available and stable Ru–Co halides.

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Research on Finite Permeability Semi-Analytical Harmonic Modeling Method for Maglev Planar Motors

Yang Zhang, Chunguang Fan, Chenglong Yu

This study proposes a semi-analytic harmonic modeling method that significantly improves the accuracy and efficiency of complex magnetic field modeling by integrating numerical and analytical approaches. Compared to traditional methods such as the equivalent charge method and finite element method, this approach …

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Functional group-directed electron shuttling by adsorbed humic acid exciting nontarget reactions and their enhancement non-radical oxidation in H2O2-based aquifer remediation

Peng Wang, Pei An, Chenlong Wang, Zhaoyu Chen et autres

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Incompleteness of the circle of Willis affects sleep quality, cognitive function and inflammation in patients with primary hypertension

Ying Feng, Song Yang, Yu Zhang, Tianning Zhang et autres

To investigate whether incomplete Circle of Willis (Incomplete CoW) affects neuropsychological outcomes in patients with primary hypertension, a cross-sectional study was conducted involving 150 patients diagnosed with primary hypertension, a population at increased risk for neurovascular compromise. Magnetic Resonance Angiography was used …

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Design and control of a magneto-electric hybrid low-frequency active vibration isolation system using smooth discrete model predictive control considering actuator saturation

Chenglong Yu, Bin Li, Tianyi Li, Na Li et autres

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BRD4 Signaling Maintains the Differentiated State of β Cells

Fuqiang Liu, Guang Liu, Jia Song, Yujing Sun et autres

In diabetes, pancreatic β cells degenerate from their mature differentiated state to a dedifferentiated state. BRD4 plays a pivotal role during embryogenesis and cancer development, but its function in modulating β-cell differentiation remains unknown. In this study, multiple models including calorie restriction …

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NES-EBVIS: an enhanced broadband vibration isolation system with a nonlinear energy sink absorber

Chenglong Yu, Pengxiang Li, Tianyi Li, Zhaoyuan Li et autres

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Additive Manufacturing: Prospects and Diverse Applications

Zeyuan Li, Hulong Ruan, Meng Meng Li, Chenglong Yu et autres

Additive manufacturing (AM), also known as 3D printing, has emerged as a transformative technology in various industries, providing unprecedented design freedom and customized manufacturing solutions. This paper presents a detailed exploration of additive manufacturing applications in metallic materials, introducing the various types …

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Characterization methods and improvement strategies of shotcrete shootability: a systematic review

Chenglong Yu, Xiaojie Chen, Yi Tian, Mustapha Jamaa Garba et autres

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Research on Ecotourism Recommendation using Graph Embedding based Graph Neural Network

Chenglong Yu

The increasing global emphasis on sustainable tourism has necessitated the development of intelligent ecotourism recommendation systems to enhance user experience and environmental conservation efforts. This study presents a novel approach that leverages Graph Neural Networks (GNN) to provide personalized and efficient ecotourism …

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