A5100750465- Muon and positron interactions and applications
- Advanced Photocatalysis Techniques
- Hydraulic and Pneumatic Systems
- Polymer crystallization and properties
- Metalloenzymes and iron-sulfur proteins
- Fault Detection and Control Systems
- Electrocatalysts for Energy Conversion
- Advanced battery technologies research
- Chemical Synthesis and Characterization
- Advanced Sensor and Control Systems
- Manufacturing Process and Optimization
- Geomechanics and Mining Engineering
- Machine Fault Diagnosis Techniques
- Geothermal Energy Systems and Applications
- Ammonia Synthesis and Nitrogen Reduction
- Gas Sensing Nanomaterials and Sensors
- Soil Mechanics and Vehicle Dynamics
- Vehicle emissions and performance
- Quantum Dots Synthesis And Properties
- TiO2 Photocatalysis and Solar Cells
- Robotic Path Planning Algorithms
- Geoscience and Mining Technology
- Magnetic Bearings and Levitation Dynamics
- Structural Load-Bearing Analysis
- Plant and Fungal Interactions Research
North University of China
2023-2025
Xiamen University
2010-2024
Xiamen University of Technology
2023-2024
Shaoyang University
2024
Jilin Agricultural University
2024
Shandong Agricultural University
2011-2023
Taiyuan University of Technology
2022-2023
Georgia Institute of Technology
2023
Beijing Institute of Technology
2023
National Sun Yat-sen University
2022
We report a reliable and effective strategy to synthesize magnetically recyclable Bi2WO6 microspheres using Fe3O4 nanoparticles as supports. The as-prepared hierarchical photocatalyst displays excellent photocatalytic activity reusability under visible light irradiation.
Connected and Automated Vehicles (CAV) have been rapidly developed, which, inevitably, renders that human-driven autonomous vehicles share the road. Thus, trajectory prediction is an important research topic, which helps each CAV to efficiently follow a Human-Driven Vehicle (HV). In wider scope, prediction, also, improve throughput of traffic flow enhance its stability. To realize Vehicles, car-following model, based on data, was established. Adding deep neural networks Attention mechanism,...
Virus-induced gene silencing (VIGS) has been shown to be an effective tool for investigating functions in herbaceous plant species, but rarely tested trees. The establishment of a fast and reliable transformation system is especially important woody plants, many which are recalcitrant transformation. In this study, we established tobacco rattle virus (TRV)-based VIGS two Populus euphratica P. × canescens. Here, TRV constructs carrying 266 bp or 558 fragment the phytoene desaturase (PDS) were...
To overcome the difficulty of collecting working resistance and trajectory a wheel loader, this paper constructs statics model bucket kinematics in shoveling process analyzes key parameters measuring trajectory. Based on this, acquisition strategy is proposed. verify effectiveness strategy, in-service operation data fine sand loose soil shoveled by loader are collected analyzed. Then, test-fitted obtained, input into RecurDyn-EDEM co-simulation to obtain simulation-fitted resistance....
Designing molecular catalysts to enhance hydrogen evolution activity presents both great significance and challenges. In hydrogenases, the redox group (i.e., [4Fe4S] subcluster) near catalytic active center [2Fe2S] plays...
To understand the molecular basis of viral diseases, transcriptome profiling has been widely used to correlate host gene expression change patterns with disease symptoms during infection in many plant hosts. We apple by Apple stem grooving virus (ASGV), which produces no symptoms, assess significance changes development. specifically asked question whether such asymptomatic is attributed limited expression. Using RNA-seq, we identified a total 184 up-regulated and 136 down-regulated genes...
To handle the problem of low detection accuracy and missed caused by dense objects, overlapping, occlusions in scenario complex construction machinery swarm operations, this paper proposes a multi-object method based on improved YOLOv4 model. Firstly, K-means algorithm is used to initialize anchor boxes improve learning efficiency depth features objects. Then, pooling operation replaced with dilated convolution solve that layer reduces resolution feature maps causes high rate. Finally, focus...