A5105519525- Plant and Fungal Species Descriptions
- Plant Diversity and Evolution
- Seed Germination and Physiology
- Plant Pathogens and Fungal Diseases
- Plant Molecular Biology Research
- Recommender Systems and Techniques
- Advanced Graph Neural Networks
- Plant tissue culture and regeneration
- Rice Cultivation and Yield Improvement
- Botany and Plant Ecology Studies
- Agronomic Practices and Intercropping Systems
- GABA and Rice Research
- Privacy-Preserving Technologies in Data
- Plant Pathogens and Resistance
- Plant and animal studies
- Plant Virus Research Studies
- Biopolymer Synthesis and Applications
- Plant Taxonomy and Phylogenetics
- Insect Pheromone Research and Control
- Food Quality and Safety Studies
- Allelopathy and phytotoxic interactions
- Plant responses to water stress
- Medicinal Plant Pharmacodynamics Research
- Phytochemistry and Biological Activities
- Innovations in Aquaponics and Hydroponics Systems
University of South China
2024
South China Normal University
2007-2024
Zhejiang A & F University
2021
Shanghai Jiao Tong University
2021
Guizhou Academy of Agricultural Sciences
2020
Health Sciences and Nutrition
2020
Commonwealth Scientific and Industrial Research Organisation
2020
Guizhou Institute of Plant Protection
2020
Yangzhou University
2019
Northwest Normal University
2006-2017
Wheat stripe rust, caused by Puccinia striiformis f. sp. tritici, has been recently demonstrated to be heteroecious and macrocyclic. The pathogen depends on wheat as the primary (telial) host barberry main alternative (aecial) complete life cycle. Viable teliospores are essential for initiation of sexual reproduction P. tritici. However, no exact source viable discovered produce basidiospores initiate infection susceptible barberry. In present study, we investigated telial production...
Conventional synchronous federated learning (SFL) frameworks suffer from performance degradation in heterogeneous systems due to imbalanced local data size and diverse computing power on the client side. To address this problem, asynchronous FL (AFL) semi-asynchronous have been proposed recover loss by allowing aggregation. However, aggregation incurs a new problem of inconsistency between updates global updates. Motivated issues conventional SFL AFL, we first propose time-driven (T-SFL)...
The challenge of data scarcity hinders the application deep learning in industrial surface defect classification (SDC), as it's difficult to collect and centralize sufficient training from various entities Industrial Internet Things (IIoT) due privacy concerns. Federated (FL) provides a solution by enabling collaborative global model across clients while maintaining privacy. However, performance may suffer heterogeneity--discrepancies distributions among clients. In this paper, we propose...
Aims Viola philippica is a species with typical chasmogamous-cleistogamous (CH-CL) mixed breeding system.It provides flower model system to investigate floral organs development under different photoperiods.Morphological changes of intermediate cleistogamous (inCL) flowers have been observed, the trends in variation from CH CL or analyzed, localized effects poorly developed stamens and petals inCL identified.This research provided morphology structural implication for evolutionary...
Tetrastigma hemsleyanum is a traditional Chinese medicine herb, commonly used for its anti-inflammatory and antitumor properties. Flavonoids are the main functional constituents of T. hemsleyanum, their production in herb affected by light quality. shade-loving plant usually covered black shade nets during cultivation. However, there only few studies on effects using color films growth flavonoid synthesis hemsleyanum. In this study, we measured influence five different indexes—sugar, soluble...
In the field of information science, how to help users quickly and accurately find they need from a tremendous amount short texts has become an urgent problem. The recommendation model is important way such information. However, existing models have some limitations in case text recommendation. To address these issues, this paper proposes based on semantic features knowledge graph. More specifically, we first select DBpedia as graph extend items get extended text. And then, calculate item...