A5100629631- Advanced Sensor and Energy Harvesting Materials
- Advancements in Battery Materials
- Railway Engineering and Dynamics
- Muscle activation and electromyography studies
- Extraction and Separation Processes
- Infrastructure Maintenance and Monitoring
- Simulation and Modeling Applications
- Geoscience and Mining Technology
- Recycling and Waste Management Techniques
- Vestibular and auditory disorders
- EEG and Brain-Computer Interfaces
- Fuel Cells and Related Materials
- Fault Detection and Control Systems
- Advanced Algorithms and Applications
- Rock Mechanics and Modeling
- Porphyrin and Phthalocyanine Chemistry
- Industrial Vision Systems and Defect Detection
- Transportation Planning and Optimization
- Electrical Contact Performance and Analysis
- Earthquake Detection and Analysis
- Advanced SAR Imaging Techniques
- Environmental remediation with nanomaterials
- Machine Fault Diagnosis Techniques
- Advanced Battery Technologies Research
- Traffic Prediction and Management Techniques
Hubei University of Chinese Medicine
2025
Yangzhou University
2022-2025
University of Waterloo
2024
Nanjing University of Aeronautics and Astronautics
2024
Anhui Jianzhu University
2024
Harbin Institute of Technology
2020-2024
Xi'an University of Science and Technology
2023-2024
Beijing Jiaotong University
2018-2024
Taiyuan University of Technology
2024
Wenzhou Medical University
2022-2023
Photodynamic therapy (PDT) is a promising noninvasive treatment for cancer. Researchers have focused on improving the therapeutic effects of PDT in recent years. Subcellular organelles are building blocks cells, and their destruction can lead to cell dysfunction or even death. Photosensitizers (PSs) with precise organelle targeting capacity not only kill cancer cells effectively but also help reduce PS dose, minimize side effects, avoid drug resistance. Herein, four homologous luminogens...
The catenary support components (CSCs) are the most important devices in high-speed railways to contact lines for powering trains. To estimate states of CSCs, it is very necessary locate their positions a monitoring system based on computer vision. Considering application scenarios and characteristics an automatic quick positioning designed this paper simultaneously position multiscale CSCs with 12 categories. In system, effective framework called network (CSCNET) presented, which cascades...
Abstract Ladle refining is an efficient process for improvement of quality steel on secondary metallurgy under harsh conditions. Magnesia refractories with high purity are important raw materials ladle lining in high‐quality production. However, the penetration by CaO–MgO–SiO 2 slags damages magnesia refractories, which considerably limits their service life. Abundant grain boundaries create channels slag and lead to destruction structure. The effect microstructure corrosion behavior...
The development of inherently flexible nanogenerators that can effectively convert various environmental resources (pressure, magnetism, solvents, etc.) into electricity is highly desirable for developing sustainable energy. Herein, we demonstrate a piezoelectric nanogenerator with tunable piezoelectricity, high sensitivity, and multistimulus sensing capability based on the 3D porous architecture poly(vinylidene fluoride-co-hexafluoropropylene) (PVDF-HFP) nanocomposite membrane featured by...
In recent research, adversarial attacks on person detectors using patches or static 3D model-based texture modifications have struggled with low success rates due to the flexible nature of human movement. Modeling deformations caused by various actions has been a major challenge. Fortunately, advancements in Neural Radiance Fields (NeRF) for dynamic modeling offer new possibilities. this paper, we introduce UV-Attack, groundbreaking approach that achieves high even extensive and unseen...
Abnormal ferrous ion (Fe2+) levels lead to an increase in reactive oxygen species (ROS) cells, disrupting intracellular viscosity and the occurrence of hepatocellular carcinoma (HCC). Simultaneously visualizing Fe2+ is essential for understanding detailed pathophysiological processes HCC. Herein, we report first dual-responsive probe, QM-FV, capable simultaneously monitoring viscosity. QM-FV shows highly selective turn-on near-infrared fluorescence (∼30-fold enhancement at 740 nm) with high...
The surface electromyogram (sEMG) contains a wealth of motion information, which can reflect user's muscle intentions. decoding based on sEMG has been widely used to provide safe and effective human-computer interaction (HCI) method for neural prosthesis exoskeleton robot control. motor intention low sampling frequency may promote the application wearable low-cost EMG sensors in HCI. Therefore, scheme suitable signal is proposed this paper, that is, transfer learning Alexnet. Moreover,...
In a gesture recognition system based on surface electromyogram (sEMG) signals, the model established by existing users cannot directly generalize to across-user scenarios due individual variability of sEMG signals. this article, we propose an adaptive learning method handle problem. The muscle synergy is chosen as feature vector because it can well-characterize neural origin movement. initial train set composed representative samples extracted from matrix user. When new use system, label...