Generalization of PhaseNet in Shandong and its application to the Changqing M4.1 earthquake sequence

Waveforms of seismic events,extracted from January 2019 to December 2021 were used to construct a test dataset to investigate the generalizability of PhaseNet in the Shandong region.The results show that errors in the picking of seismic phases(P-and Swaves)had a broadly normal distribution,mainly concentrated in the ranges of−0.4–0.3 s and−0.4–0.8 s,respectively.These results were compared with those published in the original PhaseNet article and were found to be approximately 0.2–0.4 s larger.PhaseNet had a strong generalizability for P-and S-wave picking for epicentral distances of less than 120 km and 110 km,respectively.However,the phase recall rate decreased rapidly when these distances were exceeded.Furthermore,the generalizability of PhaseNet was essentially unaffected by magnitude.The M4.1 earthquake sequence in Changqing,Shandong province,China,that occurred on February 18,2020,was adopted as a case study.PhaseNet detected more than twice the number of earthquakes in the manually obtained catalog.This further verified that PhaseNet has strong generalizability in the Shandong region,and a high-precision earthquake catalog was constructed.According to these precise positioning results,two earthquake sequences occurred in the study area,and the southern cluster may have been triggered by the northern cluster.The focal mechanism solution,regional stress field,and the location results of the northern earthquake sequence indicated that the seismic force of the earthquake was consistent with the regional stress field.

Network Pharmacological Mechanism Research of Herba Drynariae Rhizoma-Epimedii Folium in Treating Osteoarthritis

Objective: To investigate the potential mechanism of Drynariae Rhizoma-Epimedii Folium in the treatment of osteoarthritis (OA) based on network pharmacology. Methods: The potential active constituents and targets of Drynariae Rhizoma-Epimedii Folium were screened through the traditional Chinese medicine (TCM) systems pharmacology database and analysis platform (TCMSP). Genecards database is used to find relevant targets of OA. The targets of “Drynariae Rhizoma-Epimedii Folium” were mapped to the targets of OA, and used Cytoscape software to build a “drug-ingredient-target-di- sease” regulatory network and protein protein interaction (PPI) network. R software was used to analyze the Gene ontology (GO) function and Kyoto encyclopedia of genes and genomes (KEGG) pathway enrichment of traditional Chinese medicine-disease targets. Results: Thirty-four effective ingredients and 130 traditional Chinese medicine-disease targets were screened out for the treatment of OA. The GO functions of traditional Chinese medicine-disease targets mainly included cytokine activity, cytokine receptor binding, nuclear receptor activity, transcription factor activity, proximal promoter DNA-binding transcription activator activity, DNA-binding transcription activator activity, phosphatase binding and so on. KEGG pathways involved in traditional Chinese medicine-disease targets mainly included TLR4 signaling pathway, TNF signaling pathway, IL-17 signaling pathway, MAPK signaling pathway, PI3K/AKT signaling pathway, apoptotic signaling pathway and so on. Conclusion: Network pharmacology may predict the multiple targets and multiple signaling pathways in Drynariae Rhizoma-Epimedii Folium treatment for OA, providing new ideas for future research.