- Asphalt Pavement Performance Evaluation
- Concrete and Cement Materials Research
- Infrastructure Maintenance and Monitoring
- Ammonia Synthesis and Nitrogen Reduction
- Advanced Photocatalysis Techniques
- Image Enhancement Techniques
- Recycled Aggregate Concrete Performance
- Remote Sensing and LiDAR Applications
- Advancements in Battery Materials
- Advanced Vision and Imaging
- Supercapacitor Materials and Fabrication
- Spectroscopy and Chemometric Analyses
- Innovative concrete reinforcement materials
- Geotechnical Engineering and Soil Stabilization
- Advanced battery technologies research
- Smart Materials for Construction
- Remote Sensing in Agriculture
- Grouting, Rheology, and Soil Mechanics
- Hydrogen Storage and Materials
- Landfill Environmental Impact Studies
- Autonomous Vehicle Technology and Safety
- Water Quality Monitoring and Analysis
- Advanced Sensor and Energy Harvesting Materials
- Advanced Battery Technologies Research
- Advanced Image Processing Techniques
People's Hospital of Cangzhou
2014-2025
First Affiliated Hospital of Xiamen University
2025
Fujian University of Technology
2022-2024
Shanghai First Maternity and Infant Hospital
2023
Chongqing Jiaotong University
2023
China Three Gorges University
2018-2022
Shandong University
2021
State Key Laboratory of Crystal Materials
2021
Henan Polytechnic University
2019-2021
Dalian University
2019
The number of wheat ears is an essential indicator for production and yield estimation, but accurately obtaining requires expensive manual cost labor time. Meanwhile, the characteristics provide less information, color consistent with background, which can be challenging to obtain required. In this paper, performance Faster regions convolutional neural networks (Faster R-CNN) RetinaNet predict at different growth stages under conditions investigated. results show that using Global WHEAT...
To improve the mechanical and durability properties of low liquid limit soil, an eco-friendly, all-solid, waste-based stabilizer (GSCFC) was proposed using five different industrial solid wastes: ground granulated blast-furnace slag (GGBS), steel (SS), coal fly ash (CFA), flue-gas desulfurization (FGD) gypsum, carbide (CS). The performance GSCFC-stabilized soil were evaluated unconfined compressive strength (UCS), California bearing ratio (CBR), freeze–thaw wet–dry cycles. Rietveld method...
Vision-based unstructured road following is a challenging task due to the nature of scene. This paper describes novel algorithm improve accuracy and robustness vanishing point estimation with very low computational cost. The novelties this are three aspects: 1) We use joint activities four Gabor filters confidence measure for speeding up process texture orientation estimation. 2) Misidentification chances complexity reduced by using particle filter. It limits search range reduces number...
In order to improve the comprehensive utilization rate of industrial solid waste and road quality, a novel low-carbon environmental friendly soil stabilizer is proposed. this study, steel slag (SS), carbide (CS), blast furnace (BFS), fly ash (FA), desulfurized gypsum (DG) were used as raw materials develop multiple waste-based (MSWSS). The optimal mix ratio determined by D-optimal design was follows: 5% SS, 50% CS, 15% BFS, DG, FA. 7-day unconfined compressive strength (UCS) MSWSS-stabilized...
The Fe–N<sub>4</sub>–O–Fe–N<sub>4</sub> moiety as active sites in ultra-small Fe particles anchored on carbon aerogel exhibited superior performance towards the oxygen reduction reaction.
In this paper, an approach was employed to fabricate a curing agent using multiple solid wastes. To determine the optimal mixing ratio, orthogonal and compaction tests were initially conducted, followed by comparative analysis of excitation effects elicited sodium silicate NaOH. Remarkably, demonstrated superior suitability as activator. The final composition established follows: 4% silicate, 26% carbide slag, 25% granulated blast furnace (GBF) 35% coal fly ash, 10% flue gas desulphurization...
This study presents the development of eco-friendly cementitious materials for soil stabilization, based on alkaline multi-industrial waste (AMIW), using steel slag (SS), blast furnace (BFS), carbide (CS), fly ash (FA) and flue gas desulfurization gypsum (FGDG) as raw materials. The optimal AMIW-based material composition determined through orthogonal experiments was SS:CS:FGDG:BFS:FA = 15:10:15:44:16. Central composite design (CCD) in response surface methodology (RSM) employed to optimize...
Abstract Although immune checkpoint inhibition in particular has shown promise cancer immunotherapy, it is not always efficient. Recent studies suggest that SMARCAL1 may play a role tumor evasion, yet its pan-cancer unclear. We conducted comprehensive analysis of using TCGA, GTEx, and CCLE databases, evaluating expression, genetic alterations, epigenetic modifications, their clinical correlations across 33 types. Our findings indicate overexpressed several cancers, such as Glioma, LUAD,...
Real-time monitoring of the nutritional status potato crops enables rational and efficient decision-making about planting patterns fertilization strategies that maximize yields. Chlorophyll is a useful index for measuring potatoes’ status. Therefore, rapid accurate estimation chlorophyll content can be used to guide efforts improve crop quality Here, we use hyperspectral data collected by an unmanned aerial vehicle (UAV) correlate with vegetation indexes, spectral position, area...
In this study, two potential catalysts with double-B atom-doped atomic MoO
Purpose – The aim of the research is to achieve a robot skin which easy use, and can detect both position force interacted between environments. Design/methodology/approach new type proposed in this paper includes two functional modules contact sensor sensor. module based on resistor divider principle, consists perpendicular conductive fiber layers insulated dot spacer them. capacitance change theory, soft plates viscoelastic layer By combining modules, was designed. Findings Simulation...
Accurate estimation of chlorophyll (Chl) content is highly significant in monitoring potato growth and improving yield quality.Fractional differentiation can refine the local information spectrum conducive to removal background noise.In this study, a new method examine effects fractional on Chl crops was developed.Potato (Solanum tuberosum L.) selected as research object.A derivative used for unmanned aerial vehicle (UAV) hyperspectral data processing, an algorithm estimating studied.The...