A5040533017- Biochemical and Structural Characterization
- Plant-Microbe Interactions and Immunity
- Plant nutrient uptake and metabolism
- Antimicrobial Peptides and Activities
- Grey System Theory Applications
- Solar Radiation and Photovoltaics
- Plant Virus Research Studies
- Genetic Mapping and Diversity in Plants and Animals
- Insect Resistance and Genetics
- Crop Yield and Soil Fertility
- vaccines and immunoinformatics approaches
- Energy Load and Power Forecasting
Henan Agricultural University
2022-2025
University of Science and Technology Beijing
2023
University of New England
2022
Multidrug-resistant (MDR) bacteria pose a major threat to public health, and additional sources of antibacterial candidates are urgently needed. Noncanonical peptides (NCPs), derived from noncanonical small open reading frames, represent biological molecules with important roles in biology. However, the activity NCPs remains largely unknown. Here, we discovered plant-derived peptide (NCBP1) against both Gram-positive Gram-negative bacteria. NCBP1 is composed 11 amino acid residues cationic...
Southern corn leaf blight (SCLB), caused by Bipolaris maydis, is one of the most devastating diseases affecting maize production. However, only SLCB resistance gene, conferring partial resistance, currently known, underscoring importance isolating new SCLB resistance-related genes. Here, we performed a comparative proteomic analysis and identified 258 proteins showing differential abundance during response to B. maydis. These included an ascorbate peroxidase (Zea mays 1 (ZmAPX1)) encoded...
SUMMARY Nitrogen (N) is an essential factor for limiting crop yields, and cultivation of crops with low nitrogen‐use efficiency (NUE) exhibits increasing environmental ecological risks. Hence, it crucial to mine valuable NUE improvement genes, which very important develop breed new varieties high in sustainable agriculture system. Quantitative trait locus (QTL) genome‐wide association study (GWAS) analysis are the most common methods dissecting genetic variations underlying complex traits....
As the installed capacity of photovoltaic power generation continues to expand, its role in overall energy consumption becomes increasingly significant. Consequently, precise forecasting output is critical for strategic development planning and efficient grid management. To address this, we present an innovative CNN-LSTM-BiLSTM model enhanced with attention mechanism. Within this framework, mechanism synergistically integrates Convolutional Neural Network (CNN) layer engineer novel features...