Neural Network-Based Strong Motion Prediction for On-Site Earthquake Early Warning.

Developing on-site earthquake early warning systems has been a challenging problem because of time limitations and the amount of information that can be collected before the warning needs to be issued. A potential solution that could prevent severe disasters is to predict the potential strong motion using the initial P-wave signal and provide warnings before serious ground shaking starts. In practice, the accuracy of prediction is the most critical issue for earthquake early warning systems. Traditional methods use certain criteria, selected through intuition or experience, to make the prediction. However, the criteria thresholds are difficult to select and may significantly affect the prediction accuracy. This paper investigates methods based on artificial intelligence for predicting the greatest earthquake ground motion early, when the P-wave arrives at seismograph stations. A neural network model is built to make the predictions using a small window of the initial P-wave acceleration signal. The model is trained by seismic waves collected from 1991 to 2019 in Taiwan and is evaluated by events in 2020 and 2021. From these evaluations, the proposed scheme significantly outperforms the threshold-based method in terms of its accuracy and average leading time.

Dahuang Zhechong Pills Suppress Silicosis Fibrosis Progression via p38 MAPK/TGF-ß1/Smad Pathway In Vitro.

BACKGROUND: Dahuang Zhechong pills (DHZCP) is a classic Chinese medicinal prescription in "Treatise on Cold Pathogenic and Miscellaneous Diseases (Shanghan Zabing Lun)," and it has the function of tonifying blood, nourishing Yin, and removing blood stasis. Previous studies have shown that DHZCP could alleviate SiO2 induced pulmonary fibrosis in mice. This study aims to further explore the preventive and therapeutic effects of DHZCP against silicosis fibrosis and the underlying mechanisms in vitro. METHODS: We used the experimental model of SiO2-induced MH-S cells to evaluate the therapeutic potential of DHZCP. MH-S cells induced by SiO2 were intervened with the drug-containing serum of DHZCP, and the effects of drug-containing serum of DHZCP on the MH-S cells were detected by CCK8, ELISA, flow cytometry, western blot, and immunofluorescence. RESULTS: DHZCP improved cell viability by reducing apoptosis. It also decreased the levels of TNF-α, IL-1ß, IL-6 in the supernatant of MH-S cells induced by SiO2, inhibited the expression of p38 MAPK, blocked the activation of NF-κB, and controlled the upstream inflammatory response by multiple targeting. Concomitantly, we observed upregulation of Smad7 and a marked decline in TGF-ß1, α-SMA, Smad2, Smad3 expression in MH-S cells treated with DHZCP. CONCLUSION: To sum up, we conclude that DHZCP protects against SiO2-induced silicosis by reducing the persistent irritation of inflammation, regulating the p38 MAPK/TGF-ß1/Smad pathway.