Tunnel boring machine(TBM) vibration induced by cutting complex ground contains essential information that can help engineers evaluate the interaction between a cutterhead and the ground itself.In this study,deep recu...Tunnel boring machine(TBM) vibration induced by cutting complex ground contains essential information that can help engineers evaluate the interaction between a cutterhead and the ground itself.In this study,deep recurrent neural networks(RNNs) and convolutional neural networks(CNNs) were used for vibration-based working face ground identification.First,field monitoring was conducted to obtain the TBM vibration data when tunneling in changing geological conditions,including mixed-face,homogeneous,and transmission ground.Next,RNNs and CNNs were utilized to develop vibration-based prediction models,which were then validated using the testing dataset.The accuracy of the long short-term memory(LSTM) and bidirectional LSTM(Bi-LSTM) models was approximately 70% with raw data;however,with instantaneous frequency transmission,the accuracy increased to approximately 80%.Two types of deep CNNs,GoogLeNet and ResNet,were trained and tested with time-frequency scalar diagrams from continuous wavelet transformation.The CNN models,with an accuracy greater than 96%,performed significantly better than the RNN models.The ResNet-18,with an accuracy of 98.28%,performed the best.When the sample length was set as the cutterhead rotation period,the deep CNN and RNN models achieved the highest accuracy while the proposed deep CNN model simultaneously achieved high prediction accuracy and feedback efficiency.The proposed model could promptly identify the ground conditions at the working face without stopping the normal tunneling process,and the TBM working parameters could be adjusted and optimized in a timely manner based on the predicted results.展开更多
Glutathione depletion provides a promising strategy for the design of non-platinum anticancer drugs.Here we report a series of electrophilic (salen)osmium(Ⅵ) nitrides that react with glutathione to generate (salen)os...Glutathione depletion provides a promising strategy for the design of non-platinum anticancer drugs.Here we report a series of electrophilic (salen)osmium(Ⅵ) nitrides that react with glutathione to generate (salen)osmium(Ⅲ) ammine compounds.In vitro studies indicate that these osmium(VI) nitrides show comparable cytotoxicity to cisplatin against various carcinoma.Mechanistic studies with the representative compound[OsⅥ(N)(LH)(OH_(2))](PF6)(1,LH=N,N’-bis(salicylidene)-o-cyclohexyldiamine dianion) suggest that 1 induces glutathione depletion,reactive oxygen species generation,endoplasmic reticulum stress,and in turn triggers death receptor-mediated apoptosis and autophagy in lung cancer cells.In vivo evaluations show that 1 can inhibit tumor xenograft growth effectively with no body weight drop.展开更多
Phosphatase of regenerating liver 3(PRL3)promotes colorectal cancer(CRC)metastasis by inducing epithelial-to-mesenchymal transition.Mesenchymal-to-epithelial transition(MET),the opposite of epithelial-to-mesenchymal t...Phosphatase of regenerating liver 3(PRL3)promotes colorectal cancer(CRC)metastasis by inducing epithelial-to-mesenchymal transition.Mesenchymal-to-epithelial transition(MET),the opposite of epithelial-to-mesenchymal transition,has been proposed as a mechanism for the establishment of metastatic neoplasms.However,the molecular mechanism of MET remains unclear.Here,we show that miR-203a-3p derived from hepatocyte exosomes inhibits Src expression,reduces epidermal growth factor receptor activity and downstream signaling pathways,and increases E-cadherin expression,which is a typical mesenchymal cell marker of MET,in CRC cells.These results show the important role of epidermal growth factor receptor in CRC cell MET.展开更多
基金supported by the National Natural Science Foundation of China(Grant No.52090082)the Natural Science Foundation of Shandong Province,China(Grant No.ZR2020ME243)the Shanghai Committee of Science and Technology(Grant No.19511100802)。
文摘Tunnel boring machine(TBM) vibration induced by cutting complex ground contains essential information that can help engineers evaluate the interaction between a cutterhead and the ground itself.In this study,deep recurrent neural networks(RNNs) and convolutional neural networks(CNNs) were used for vibration-based working face ground identification.First,field monitoring was conducted to obtain the TBM vibration data when tunneling in changing geological conditions,including mixed-face,homogeneous,and transmission ground.Next,RNNs and CNNs were utilized to develop vibration-based prediction models,which were then validated using the testing dataset.The accuracy of the long short-term memory(LSTM) and bidirectional LSTM(Bi-LSTM) models was approximately 70% with raw data;however,with instantaneous frequency transmission,the accuracy increased to approximately 80%.Two types of deep CNNs,GoogLeNet and ResNet,were trained and tested with time-frequency scalar diagrams from continuous wavelet transformation.The CNN models,with an accuracy greater than 96%,performed significantly better than the RNN models.The ResNet-18,with an accuracy of 98.28%,performed the best.When the sample length was set as the cutterhead rotation period,the deep CNN and RNN models achieved the highest accuracy while the proposed deep CNN model simultaneously achieved high prediction accuracy and feedback efficiency.The proposed model could promptly identify the ground conditions at the working face without stopping the normal tunneling process,and the TBM working parameters could be adjusted and optimized in a timely manner based on the predicted results.
基金financially supported by the Guangdong Major Project of Basic and Applied Basic Research(No.2019B030302009)the National Natural Science Foundation of China(No.21401125)+3 种基金the Li Ka Shing Foundation Cross-Disciplinary Research Grant(No.2020LKSFG01F)Research Grants Council of Hong Kong(No.HKBU 12300121)Hong Kong Baptist University for the start-up fund(No.RC-OFSGT2/20-21/SCI/008)supported by"Laboratory for Synthetic Chemistry and Chemical Biology"under the Health@Inno HK Program launched by Innovation and Technology Commission,The Government of Hong Kong Special Administrative Region of the People’s Republic of China。
文摘Glutathione depletion provides a promising strategy for the design of non-platinum anticancer drugs.Here we report a series of electrophilic (salen)osmium(Ⅵ) nitrides that react with glutathione to generate (salen)osmium(Ⅲ) ammine compounds.In vitro studies indicate that these osmium(VI) nitrides show comparable cytotoxicity to cisplatin against various carcinoma.Mechanistic studies with the representative compound[OsⅥ(N)(LH)(OH_(2))](PF6)(1,LH=N,N’-bis(salicylidene)-o-cyclohexyldiamine dianion) suggest that 1 induces glutathione depletion,reactive oxygen species generation,endoplasmic reticulum stress,and in turn triggers death receptor-mediated apoptosis and autophagy in lung cancer cells.In vivo evaluations show that 1 can inhibit tumor xenograft growth effectively with no body weight drop.
基金This work was supported by Grant from Key Laboratory of Malignant Tumor Molecular Mechanism and Translational Medicine of Guangzhou Bureau of Science and Information TechnologyGrant from the Key Laboratory of Malignant Tumor Gene Regulation and Target Therapy of Guangdong Higher Education Institutes+3 种基金and financially supported by the grants from National Natural Science Foundation of China(nos.81602539,81702902,81602125)Natural Science Foundation of Guangdong Province(no.2016A030310183)International Science and Technology Cooperation Program of Guangdong Province(no.2015A050502021)Science and Technology of Guangdong Province(no.201400000004-5).
文摘Phosphatase of regenerating liver 3(PRL3)promotes colorectal cancer(CRC)metastasis by inducing epithelial-to-mesenchymal transition.Mesenchymal-to-epithelial transition(MET),the opposite of epithelial-to-mesenchymal transition,has been proposed as a mechanism for the establishment of metastatic neoplasms.However,the molecular mechanism of MET remains unclear.Here,we show that miR-203a-3p derived from hepatocyte exosomes inhibits Src expression,reduces epidermal growth factor receptor activity and downstream signaling pathways,and increases E-cadherin expression,which is a typical mesenchymal cell marker of MET,in CRC cells.These results show the important role of epidermal growth factor receptor in CRC cell MET.
