A5111108121- Yersinia bacterium, plague, ectoparasites research
- Animal Ecology and Behavior Studies
- Identification and Quantification in Food
- High voltage insulation and dielectric phenomena
- Plant biochemistry and biosynthesis
- Monoclonal and Polyclonal Antibodies Research
- Fluorine in Organic Chemistry
- Mechanical Behavior of Composites
- Photosynthetic Processes and Mechanisms
- Advanced Proteomics Techniques and Applications
- Electrocatalysts for Energy Conversion
- Plant Gene Expression Analysis
- Catalytic C–H Functionalization Methods
- Advanced Image Fusion Techniques
- Plant Molecular Biology Research
- Numerical methods in engineering
- Sulfur-Based Synthesis Techniques
- Plant Reproductive Biology
- Advanced battery technologies research
- Electrochemical Analysis and Applications
- Glycosylation and Glycoproteins Research
- Image and Signal Denoising Methods
- Non-Destructive Testing Techniques
- Ultrasonics and Acoustic Wave Propagation
- Plant and Fungal Interactions Research
Chinese Academy of Sciences
2023-2025
North China Electric Power University
2025
Shanghai Institute of Organic Chemistry
2025
ShanghaiTech University
2025
China University of Mining and Technology
2024
Gansu Agricultural University
2024
Center for Excellence in Molecular Plant Sciences
2023
University of Chinese Academy of Sciences
2023
Hebei University
2022
DNA-binding with one finger (Dof) proteins comprise a large family that play central roles in stress tolerance by regulating the expression of stress-responsive genes via DOFCORE element or interacting other regulatory proteins. Although Dof TF has been identified variety species, its systemic analysis potato (Solanum tuberosum L.) is lacking and potential role abiotic responses remains unclear. A total 36 were examined at genomic transcriptomic levels this work. Five phylogenetic groups can...
Convolutional neural networks (CNN) have achieved remarkable performance in image denoising. However, most existing CNNs cannot accurately capture and remove tiny noises during the denoising process lose edge detail information easily. In this paper, we propose a fine-grained residual network guided by wavelet adaptive coordinate attention (WACAFRN) for Firstly, an mechanism combine it with cascaded Res2Net blocks to form encoder more accurate noise removal. Secondly, that combines global...
The selectivity of protein kinase inhibitors (PKIs) remains a major challenge in drug discovery. In this study, we present an ultradeep phosphoproteomics approach for assessing PKI and elucidating mechanisms action using Zanubrutinib as model. Two complementary strategies were employed: phosphopeptides enriched with Zr4+-IMAC combination TiO2 beads analyzed data-independent acquisition (DIA), while tyrosine SH2-Superbinder via data-dependent (DDA). comprehensive phosphoproteomic analysis...
Abstract Plants are unique with tremendous chemical diversity and metabolic complexity, which is highlighted by estimates that green plants collectively produce metabolites numbering in the millions. Plant play crucial roles all aspects of plant biology, like growth, development, stress responses, etc. However, lack a reference metabolome for plants, paucity high-quality standard compound spectral libraries related analytical tools, have hindered discovery functional study phytochemicals...
Abstract Free-radical-promoted tandem trifluoromethylthiolation of alkenes with AgSCF3, which provides an efficient protocol for the construction SCF3-modified indolo[2,1-a]isoquinolines moderate to good yields. A series scaled-up experiments, other substrate transformations, and radical inhibition experiments were operated verify merit this reaction system.
Fast-moving consumer goods (FMCG), such as beverages, ice cream, and tobacco, have to respond market demands in a timely manner carry out fast logistics. It is very time-consuming labor-intensive guarantee the quantity of at every check point, including inbound outbound, transportation, warehousing, sorting, delivery, where all items are checked counted. Thanks rapid development deep learning, detection, recognition algorithms widely used object recognition. However, for some new products on...