In recent years,artist Yu Xiangzhi has focused on the new outlook of the working people in the new era and created a series of portraits called "Paean to Heroes",presenting working people's enthusiasm an...In recent years,artist Yu Xiangzhi has focused on the new outlook of the working people in the new era and created a series of portraits called "Paean to Heroes",presenting working people's enthusiasm and dedication in the new era with paintings.He hopes that this series of works can resonate with the public,who will pay more attention to the life and working conditions of grassroots workers.Recently,this magazine has interviewed Yu Xiangzhi and talked about the story behind the creation of his "Paean to Heroes"series of oil paintings.展开更多
Predicting the mechanical behaviors of structure and perceiving the anomalies in advance are essential to ensuring the safe operation of infrastructures in the long run.In addition to the incomplete consideration of i...Predicting the mechanical behaviors of structure and perceiving the anomalies in advance are essential to ensuring the safe operation of infrastructures in the long run.In addition to the incomplete consideration of influencing factors,the prediction time scale of existing studies is rough.Therefore,this study focuses on the development of a real-time prediction model by coupling the spatio-temporal correlation with external load through autoencoder network(ATENet)based on structural health monitoring(SHM)data.An autoencoder mechanism is performed to acquire the high-level representation of raw monitoring data at different spatial positions,and the recurrent neural network is applied to understanding the temporal correlation from the time series.Then,the obtained temporal-spatial information is coupled with dynamic loads through a fully connected layer to predict structural performance in next 12 h.As a case study,the proposed model is formulated on the SHM data collected from a representative underwater shield tunnel.The robustness study is carried out to verify the reliability and the prediction capability of the proposed model.Finally,the ATENet model is compared with some typical models,and the results indicate that it has the best performance.ATENet model is of great value to predict the realtime evolution trend of tunnel structure.展开更多
Zhao Rukuo's Zhu Fan Zhi in the Southern Song dynasty was the first book in the history of China to systematically describe the “Maritime Silk Road”, recording the geography, products, customs, trade, etc. of mo...Zhao Rukuo's Zhu Fan Zhi in the Southern Song dynasty was the first book in the history of China to systematically describe the “Maritime Silk Road”, recording the geography, products, customs, trade, etc. of more than 50 foreign countries and regions. The book included a large amount of medical literature, introducing medical customs and the production of drugs in various places, as well as the efficacy of some medicine. These materials are of unique value for understanding the medicine trade in the Song dynasty, and even the medical culture along the “Maritime Road of Aromatic Medicine”.展开更多
文摘In recent years,artist Yu Xiangzhi has focused on the new outlook of the working people in the new era and created a series of portraits called "Paean to Heroes",presenting working people's enthusiasm and dedication in the new era with paintings.He hopes that this series of works can resonate with the public,who will pay more attention to the life and working conditions of grassroots workers.Recently,this magazine has interviewed Yu Xiangzhi and talked about the story behind the creation of his "Paean to Heroes"series of oil paintings.
基金This work is supported by the National Natural Science Foundation of China(Grant No.51991392)Key Deployment Projects of Chinese Academy of Sciences(Grant No.ZDRW-ZS-2021-3-3)the Second Tibetan Plateau Scientific Expedition and Research Program(STEP)(Grant No.2019QZKK0904).
文摘Predicting the mechanical behaviors of structure and perceiving the anomalies in advance are essential to ensuring the safe operation of infrastructures in the long run.In addition to the incomplete consideration of influencing factors,the prediction time scale of existing studies is rough.Therefore,this study focuses on the development of a real-time prediction model by coupling the spatio-temporal correlation with external load through autoencoder network(ATENet)based on structural health monitoring(SHM)data.An autoencoder mechanism is performed to acquire the high-level representation of raw monitoring data at different spatial positions,and the recurrent neural network is applied to understanding the temporal correlation from the time series.Then,the obtained temporal-spatial information is coupled with dynamic loads through a fully connected layer to predict structural performance in next 12 h.As a case study,the proposed model is formulated on the SHM data collected from a representative underwater shield tunnel.The robustness study is carried out to verify the reliability and the prediction capability of the proposed model.Finally,the ATENet model is compared with some typical models,and the results indicate that it has the best performance.ATENet model is of great value to predict the realtime evolution trend of tunnel structure.
基金financed by the grants from The National Social Science Fund of China,Late Stage Funding (No. 21FZWB005)。
文摘Zhao Rukuo's Zhu Fan Zhi in the Southern Song dynasty was the first book in the history of China to systematically describe the “Maritime Silk Road”, recording the geography, products, customs, trade, etc. of more than 50 foreign countries and regions. The book included a large amount of medical literature, introducing medical customs and the production of drugs in various places, as well as the efficacy of some medicine. These materials are of unique value for understanding the medicine trade in the Song dynasty, and even the medical culture along the “Maritime Road of Aromatic Medicine”.
