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Background: In this study, we preliminarily investigated the mechanism of Yin-Chai-Xiao-Du decoction for the treatment of COVID-19 by the method of network pharmacology. Methods: The potential targets and pathways of Yin-Chai-Xiao-Du decoction for the treatment of COVID-19 were examined using network pharmacology; the ingredient and active targets of Yin-Chai-Xiao-Du decoction were collected from the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform and PharmMapper databases; the COVID-19-related targets were obtained from the online Mendelian inheritance in man, GeneCards, and GeneMANIA databases; the STRING database and Cytoscape were used to build a protein-protein interaction network, and a Network Analyzer tool was used to perform topology analysis to screen for the key ingredients and targets; the ClueGO and KOBAS 3.0 databases were for the enrichment analysis of gene function (Gene Oncology) and gene pathway (Kyoto Encyclopedia of Genes and Genomes); the herb-ingredient-target-pathway network diagram was constructed by Cytoscape. Results: The core herbs screened by the network pharmacological analysis were Jinyinhua (Lonicerae japonicae flos), Lianqiao (Forsythia suspensa), Chaihu (Bupleuri radix), Huangqin (Scutellariae radix), Yinchen (Herba Artemisiae Scopariae), Guanghuoxiang (Pogostemonis herba), Roudoukou (Semen myristicae) and Qinghao (Artemisiae annuae herba). A total of 293 active ingredients were screened by Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform, and the key ingredients were quercetin, kaempferol, isorhamnetin, stigmasterol, beta-sitosterol, and luteolin. Yin-Chai-Xiao-Du decoction has 138 COVID-19-related targets, and the key targets were mitogen-activated protein kinase 3, interleukin-6, tumor necrosis factor, vascular endothelial growth factor A, and CC motif ligand 2. Kyoto Encyclopedia of Genes and Genomes analysis revealed 120 enriched gene pathways, and the key pathways were signaling by interleukins, immune system, cytokine signaling in the immune system, and the signaling pathways of interleukin-17, tumor necrosis factor, and relaxin. Conclusion: The core herbs of Yin-Chai-Xiao-Du decoction are Jinyinhua (Lonicerae japonicae flos), Lianqiao (Forsythia suspensa), Chaihu (Bupleuri radix), Huangqin (Scutellariae radix), Yinchen (Herba Artemisiae Scopariae), Guanghuoxiang (Pogostemonis herba), Roudoukou (Semen myristicae) and Qinghao (Artemisiae annuae herba). The key ingredients are quercetin, kaempferol, isorhamnetin, stigmasterol, and beta-sitosterol; the critical targets are luteolin, interleukin-6, mitogen-activated protein kinase 3, tumor necrosis factor, and CC motif ligand 2; and the core signaling pathways are those mediated by interleukin-17, tumor necrosis factor, and relaxin.

Overall scheme for large-aircraft Intelligence Virtual Maintenance Training System (IVMTS) information model which integrates the Standard for the Exchange of Product model data (STEP) standard geometric model with agent model is presented in this paper. Firstly, the system multi-agent model architecture are constructed. Secondly, Integrated STEP standard geometric model with agent model and maintenance applying information, the maintenance object agent IP(intelligence part) ,IB(intelligence body) and IT(intelligence tool) are constructed utilizing the EPRESS-G language. Thirdly, the communication method between components and system level agents is presented based on Blackboard model each other. Finally, how to realize the model under catia-caa secondary development method is described, and the intelligence maintenance process simulation, maintenance of the elements of the intelligent interaction, intelligence collision detection and maintenance sequence optimization simulation can be realized in this method in IVMTS.