A5101810784- Aeroelasticity and Vibration Control
- Piezoelectric Actuators and Control
- Iterative Learning Control Systems
- Robotic Mechanisms and Dynamics
- Respiratory viral infections research
- Micro and Nano Robotics
- Microfluidic and Bio-sensing Technologies
- Artificial Intelligence in Healthcare and Education
- Bacteriophages and microbial interactions
- Dental Radiography and Imaging
- SARS-CoV-2 and COVID-19 Research
- Catalysis and Hydrodesulfurization Studies
- Catalysis and Oxidation Reactions
- Autopsy Techniques and Outcomes
- Advanced Measurement and Metrology Techniques
- Environmental Toxicology and Ecotoxicology
- Magnetic Properties and Applications
- Advanced Surface Polishing Techniques
- Inertial Sensor and Navigation
- COVID-19 Impact on Reproduction
- Spacecraft Design and Technology
- Reproductive biology and impacts on aquatic species
- Aquaculture Nutrition and Growth
- Rocket and propulsion systems research
Xiamen University of Technology
2025
Shanghai Jiao Tong University
2023-2024
University of Hong Kong
2023-2024
Henan Normal University
2016
Abstract It is imperative to have high adaptive techniques for sensing and manipulating biological targets at the nanoscale. This necessity becomes particularly crucial when dealing with fragile living bio-organisms like viruses, where expression of capsids closely linked viral functions genome constitution. Therefore, development a comprehensive system dissecting measuring viruses holds significant implications pharmaceutical industry drug manufacturing. Leveraging sub-nanometer spatial...
A series of photothermal cyclobutaosmapentalenes with conjugated groups attached to the metallacycle were synthesized from reaction OsCl 2 (PPh 3 ) an organic multiyne and PPh , followed by a [2＋2] cycloaddition terminal alkynes.These highly metallacycles showed broad UV-Vis absorption good efficiency.These easily represent type new material.
To analyze the clinical characteristics of neonatal infection during outbreak COVID-19 omicron variant in Guangdong province China.The data neonates infected with were collected from three hospitals province, their epidemiological history, manifestation and prognosis summarized.From December 12, 2022 to January 15, 2023, a total 52 identified across Province, including 34 males 18 females. The age diagnosis was 18.42 ± 6.32 days. 24 cases had clear contact history adults who suspected be...
The goal of the current study was to investigate effects pollution on aquatic organisms in Yongcheng coal mine subsidence area.Crucian carp (Carassius auratus) were collected from natural fishpond (experimental group) and Tianmu Lake (control group), spleens isolated for analysis.Subsequently, histological changes, DNA damage, antioxidant enzyme activity assessed.The result showed that there more vacuoles, widened blood sinus cavities, increased partial dot necrosis, a larger number...
Abstract Objective We aimed to develop a deep learning artificial intelligence (AI) algorithm detect impacted animal bones on lateral neck radiographs and assess its effectiveness for improving the interpretation of radiographs. Methods Lateral were retrospectively collected patients with bone impaction between January 2010 March 2020. Radiographs then separated into training, validation, testing sets. A total 1733 used algorithm. The set was assessed stand-alone AI human readers...
An accurate model of the piezoelectric actuator is important for controller design to realize high-performance closed-loop control. However, exhibits inherent fast, slow modes, hysteresis nonlinearity, and system uncertainty at same time. In this article, a two-stage modeling approach called Slow Fast Hysteresis with Uncertainty Compensation (SFHUC) dynamic proposed achieve high-accuracy between input voltage output displacement. The modes nonlinearity are estimated firstly based on...
A high-accuracy actuation force model of piezoelectric actuator (PEA) is very important for the high-frequency positioning control nanopositioning robot because measurement often unavailable. In this article, an modeling and identification approach with neural network compensator PEA nonlinear hysteresis proposed to realize accurate driving prediction, which called neural-network-based stiffness compensation (NNSCM). The inputs are analog voltage signal actual displacement, output force....