Zhihao Ye

Laser-induced graphene arrays for high-throughput metabolic profiling reveal serum metabolic alterations in colon cancer

Zhihao Ye, Mengyang Song, Zhenyang Ji, Junyu Chen et autres

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Hand-Held Electrostatic Spray Ionization Mass Spectrometry Enables On-Site Metabolomic Analysis of Sophora japonica and Robinia pseudoacacia

Mengyang Song, Haiyan Luo, Zhenyang Ji, Zhihao Ye et autres

Mass spectrometry plays a key role in agricultural and food chemistry, yet direct ionization of plant samples is complicated by endogenous salts and other matrix components that destabilize conventional direct-current nanoelectrospray ionization (DC-nanoESI). To address this limitation in point-of-need analysis, we developed …

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Survivability of stand-alone microgrids: Definition, indicators, and assessment

Yupeng Zhou, Jun Xiao, Jing Huang, Ningzhao Luo et autres

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Soft Threshold Denoising-Based Environmental Adaptive UAV Signal Modulation Recognition for Small-Sample Scenarios

Fang Jin, Yang Shao, Ying He, Zhihao Ye et autres

As a key technology for wireless signal identification, modulation recognition plays an important role in the fields of unmanned aerial vehicle (UAV) communications, low-altitude spectrum management, etc. However, the accuracy of modulation recognition often cannot be guaranteed in scenarios with serious noise …

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Field-enhanced graphene fiber arrays reveal serum metabolic alterations in pancreatic cancer

Zhihao Ye, Haiyan Luo, Mengyang Song, Pei Ding et autres

ions and enabling highly sensitive (fmol-level), highly salt-tolerant, low-background, and uniform detection (with a relative standard deviation of approximately 2.26%). Computer-controlled laser scanning allows rapid production of LIGF arrays for high-throughput metabolic fingerprinting. Applied to serum metabolomics of pancreatic cancer (PC), LIGF-LDI-MS …

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A novel dynamic method for measuring the vertical induced magnetic field of ships

Kena Wu, Zhihao Ye, Zhaohui Wu, Guohua Zhou et autres

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Dynamic Ionic Electrocatalysis for Oxygen Evolution: Synergistic Enhancement from Single Transition Metal Ions to Bimetallic Activation in Alkaline Electrolytes

Zanling Huang, Lizhu Zhang, Xiaolin Liao, Zhihao Ye et autres

This study pioneers dynamic ionic catalysis for efficient oxygen evolution by engineering dissolved Fe(III), Co(II), and Ni(II) ions as self-regenerating active sites in alkaline electrolytes. In situ Raman/EIS diagnostics Fe(III) operates via a catalytic cycle Fe(III)(aq) → [Fe–OH] ads → [Fe–O] ads …

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Fault Diagnosis Methods for Resolvers: A Review

Yao Zhou, Zhihao Ye, Cheng Chen, Muyi Yin et autres

With the advantages of high precision, high reliability, and strong environmental adaptability, resolvers play a central role in position detection across various fields, including aerospace, automotive, and servo systems. However, prolonged operation in harsh environments can lead to faults such as eccentricity …

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Design of Magnetic Coupling Mechanism for WPT System Based on Fractal Geometry

Zhihao Ye, Cheng Chen, J. Li, Changcheng Zhao

As magnetic coupling mechanism is a core part of WPT system, more and more scholars have devoted themselves to the optimization of coil structure. To the optimized design of the coupling mechanism of WPT system, free exploration and conjecture based on fractal …

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Influence of harmonic disturbances on electron beam spot characteristics of the large aspect ratio emitter field emission gun

Zhihao Ye, Pei Ding, Hua Li, Haibo Huo et autres

Abstract Quasi-one-dimensional carbon materials such as carbon fiber (CF) have good mechanical, electrical and field emission properties so that they are used as emitters in field emission guns (FEGs). Due to the large aspect ratio (LAR) of such materials, it is easy …

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A New Hybrid Reinforcement Learning with Artificial Potential Field Method for UAV Target Search

Jin Fang, Zhihao Ye, Mengxue Li, Xiao Han et autres

Autonomous navigation and target search for unmanned aerial vehicles (UAVs) have extensive application potential in search and rescue, surveillance, and environmental monitoring. Reinforcement learning (RL) has demonstrated excellent performance in real-time UAV navigation through dynamic optimization of decision-making strategies, but its application …

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Research and Prospects of Digital Twin-Based Fault Diagnosis of Electric Machines

Jia Sheng Hu, Xiao Han, Zhihao Ye, Ningzhao Luo

This paper focuses on the application of digital twins in the field of electric motor fault diagnosis. Firstly, it explains the origin, concept, key technology and application areas of digital twins, compares and analyzes the advantages and disadvantages of digital twin technology …

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