A5101814778- Plant Reproductive Biology
- Phytoplasmas and Hemiptera pathogens
- Plant Molecular Biology Research
- Smart Agriculture and AI
- Plant Gene Expression Analysis
- Plant Virus Research Studies
- Smart Systems and Machine Learning
- AI in cancer detection
- Date Palm Research Studies
- Topic Modeling
- Toxin Mechanisms and Immunotoxins
- Metaheuristic Optimization Algorithms Research
- Network Security and Intrusion Detection
- Insect-Plant Interactions and Control
- Photosynthetic Processes and Mechanisms
- Plant Disease Management Techniques
- Advanced Chemical Sensor Technologies
- Spectroscopy and Chemometric Analyses
- Software Engineering Research
- Plant-Microbe Interactions and Immunity
China Agricultural University
2023-2025
Hebei Agricultural University
2016-2024
Lanzhou University
2008
MADS-box genes encode transcription factors that are involved in plant development control (particularly floral organogenesis) and signal transduction pathways, though a comprehensive analysis of family proteins Chinese jujube (Ziziphus jujuba Mill.) is still missing. Here, we report genome-wide the gene jujube. Based on phylogenetic analyses, 52 were classified into 25 MIKC
Chinese jujube (Ziziphus jujuba Mill.) is one of the most important members in Rhamnaceae family. The whole genome sequence and more than 30,000 proteins have been obtained 2014. Mitogen-activated protein kinase cascades are universal signal transduction modules plants, which rapidly activated under various biotic abiotic stresses. To date, there has no comprehensive analysis MAPK MAPKK gene family at level.By performing a series bioinformatics analysis, ten five genes were identified from...
With the evolution of modern agriculture and precision farming, efficient accurate detection crop diseases has emerged as a pivotal research focus. In this study, an interpretative high-precision rice disease method, integrating multisource data transfer learning, is introduced. This approach harnesses diverse types, including imagery, climatic conditions, soil attributes, facilitating enriched information extraction enhanced accuracy. The incorporation learning bestows model with robust...
With the increase in trading frequency and growing complexity of data structures, traditional quantitative strategies have gradually encountered bottlenecks modeling capacity, real-time responsiveness, multi-dimensional information integration. To address these limitations, a high-frequency signal generation framework is proposed, which integrates graph neural networks, cross-scale Transformer architectures, macro factor modeling. This enables unified structural dependencies, temporal...
Chinese jujube (Ziziphus jujuba Mill.) is an important economic forest species and multipurpose fruit tree in the family of Rhamnaceae. Phytoplasmas are significant prokaryotic pathogens, associated with more than 1000 plant diseases. Jujube witches’ broom disease (JWB) a typical phytoplasma disease, caused by ‘Candidatus Phytoplasma ziziphi’. Mitogen-activated protein kinase (MAPK) cascades highly universal signal transduction modules play crucial roles regulating innate immune responses...
In this work, an attention-mechanism-enhanced method based on a single-stage object detection model was proposed and implemented for the problem of rice pest detection. A multi-scale feature fusion network first constructed to improve model’s predictive accuracy when dealing with pests different scales. Attention mechanisms were then introduced enable focus more areas in images, significantly enhancing performance. Additionally, small knowledge distillation designed edge computing scenarios,...
SEPALLATA3 (SEP3), which is conserved across various plant species, plays essential and roles in flower fruit development. However, the regulatory network of role SEP3 flowering time at molecular level remained unclear.Here, we investigated that Ziziphus jujuba Mill. (ZjSEP3) was expressed four floral organs exhibited strong transcriptional activation activity. ZjSEP3 transgenic Arabidopsis showed an early-flowering phenotype altered expression some genes related to flowering. Among them,...
In the last decade, use of artificial neural networks (ANN) has become widely accepted in medical applications for accuracy predictive inference, with potential to support and flexible non-linear modelling large data sets. Feedforward network (FNN) is a kind networks, which better structure been used. But there are still many drawbacks if we simply feedforward network, such as slow training rate, easy trap into local minimum point, bad ability on global search. this paper, trained by fuzzy...
In this study, we propose a novel method for detecting cyberattack behaviors by leveraging the combined strengths of large language models and synchronized attention mechanism. Extensive experiments conducted on diverse datasets, including server logs, financial behaviors, comment data, demonstrate significant advantages over existing such as Transformer, BERT, OPT-175B, LLaMa, ChatGLM3-6B in key performance metrics precision, recall, accuracy. For instance, log dataset, achieved precision...
Abstract Background Protein posttranslational modifications (PTMs) are fast and early responses to environmental changes, including pathogen infection. Jujube witches’ broom (JWB) is a phytoplasma disease causing great economic loss in jujube production. After infection, the transcriptional, translational, metabolic levels were activated, enabling it survive during invasion. However, no study has yet reported on PTMs jujube. Lysine crotonylation (Kcr) lysine succinylation (Ksu) have been...