The successful applications of two-dimensional(2 D)transition metal dichalcogenides highly rely on rational regulation of their electronic properties.The nondestructive and controllable doping strategy is of great imp...The successful applications of two-dimensional(2 D)transition metal dichalcogenides highly rely on rational regulation of their electronic properties.The nondestructive and controllable doping strategy is of great importance to implement 2 D materials in electronic devices.Herein,we propose a straightforward and effective method to realize controllable n-type doping in WSe_(2)monolayer by electron beam irradiation.Electrical measurements and photoluminescence(PL)spectra verify the strong n-doping in electron beam-treated WSe_(2)monolayers.The n-type doping arises from the generation of Se vacancies and the doping degree is precisely controlled by irradiation fluences.Due to the n-dopinginduced narrowing of the Schottky barrier,the current of back-gated monolayer WSe_(2)is enhanced by an order of magnitude and a$8?increase in the electron filed-effect mobility is observed.Remarkably,it is a moderate method without significant reduction in electrical performance and severe damage to lattice structures even under ultra-high doses of irradiation.展开更多
Traditional Chinese villages serve as crucial repositories of traditional culture.However,In China,the urgent task of preserving information about traditional village architecture has arisen due to the degradation of ...Traditional Chinese villages serve as crucial repositories of traditional culture.However,In China,the urgent task of preserving information about traditional village architecture has arisen due to the degradation of these villages’appearance caused by rapid urbanization in recent years.This paper proposes a method for preserving information about traditional village rooftops based on high spatial resolution remote sensing imagery.Leveraging an improved Mask R-CNN model,the method conducts target recognition on the rooftops of traditional village buildings and generates vectorized representations of these rooftops.The precision rate,recall rate,and F1-score achieved in the experimental results are 93.26%,86.33%,and 92.02%,respectively.These findings indicate the effectiveness of the proposed method in preserving information about traditional village architecture and providing a viable approach to support the sustainable development of traditional villages in China.展开更多
Traditional Chinese villages,vital carriers of traditional culture,have faced significant alterations due to urbanization in recent years,urgently necessitating artificial intelligence data updates.This study integrat...Traditional Chinese villages,vital carriers of traditional culture,have faced significant alterations due to urbanization in recent years,urgently necessitating artificial intelligence data updates.This study integrates high spatial resolution remote sensing imagery with deep learning techniques,proposing a novel method for identifying rooftops of traditional Chinese village buildings using high-definition remote sensing images.Using 0.54 m spatial resolution imagery of traditional village areas as the data source,this method analyzes the geometric and spectral image characteristics of village building rooftops.It constructs a deep learning feature sample library tailored to the target types.Employing a semantically enhanced version of the improved Mask R-CNN(Mask Region-based Convolutional Neural Network)for building recognition,the study conducts experiments on localized imagery from different regions.The results demonstrated that the modified Mask R-CNN effectively identifies traditional village building rooftops,achieving an of 0.7520 and an of 0.7400.It improves the current problem of misidentification and missed detection caused by feature heterogeneity.This method offers a viable and effective approach for industrialized data monitoring of traditional villages,contributing to their sustainable development.展开更多
Objective:Ganoderic acid A can inhibit the proliferation and promotes the apoptosis of cancer cells.Surprisingly,the molecular mechanisms underlying the anti-cancer effects of ganoderic acid A still remain poorly defi...Objective:Ganoderic acid A can inhibit the proliferation and promotes the apoptosis of cancer cells.Surprisingly,the molecular mechanisms underlying the anti-cancer effects of ganoderic acid A still remain poorly defined.Ganoderic acid A derivative(Ga AD19)is an effective ingredient obtained by structural modification of ganoderic acid A.The purpose of this study was to evaluate the anti-proliferation effect of Ga AD19 on cervical cancer cells.Methods:Through the He La cervical cancer cell model,the drug target of Ga AD19 was predicted using the Swiss Target Prediction database and molecular docking.Subsequently,computer analysis results were verified by a series of molecular biology experiments,such as flow cytometry,Western blot,immunocytochemical staining,terminal deoxynucleotidyl transferase-mediated d UTP nick end labeling(TUNEL),quantitative real time polymerase chain reaction(q PCR),and so on.Then,pathway agonists and inhibitors were used to investigate the mechanism of Ga AD19.Finally,the mouse model of cervical cancer was established to evaluate the inhibitory effect of Ga AD19 on tumor growth in U14 cervical cancer mice.Results:Ga AD19 induced apoptosis and inhibited the growth of tumors.It also blocked the transition from the G1to the S phase of the cell cycle.However,in the presence of a c-Jun N-terminal kinase(JNK)agonist,the effects of Ga AD19 on the proliferation,apoptosis,and cell cycle transition of cancer cells were suppressed.Conclusion:This study showed that Ga AD19 can play an anti-cervical cancer role by inhibiting the JNK signaling pathway.These results will be helpful in further exploring the mechanism of Ga AD19 in the treatment of cervical cancer.展开更多
Traditional fluorescent emitters cannot eff ectively utilize triplet excitons owing to the spin statistical limitation, thus their electrochemiluminescence(ECL) efficiency(Φ_(ECL)) is relatively low. Improving the ut...Traditional fluorescent emitters cannot eff ectively utilize triplet excitons owing to the spin statistical limitation, thus their electrochemiluminescence(ECL) efficiency(Φ_(ECL)) is relatively low. Improving the utilization efficiency of triplet excitons is of great significance for developing efficient luminescent materials. Here we designed a hot exciton molecule(NZ2TPA) containing highly efficient chromophore naphthothiadiazole as an electron acceptor and triphenylamine(TPA) with aggregation induced emission(AIE) property as the strong electron donor to synthesize an ECL nanoemitter-NZ2TPA nanoparticles(NT NPs). The hybridized local and charge-transfer(HLCT) excited state of NZ2TPA achieved a high exciton utilization through the reverse intersystem crossing from higher triplet states( h RISC). The combination of HLCT and AIE characteristics endowed NT NPs with superior ΦECLover other nanoemitters, which provided an excellent material for the design of highly sensitive ECL biosensors. Using alkaline phosphatase(ALP) as an analyte model, a “signal-on” ECL biosensing approach was constructed by combining the quenching of manganese dioxide nanosheets(MnO_(2)NSs) on ECL emission of NT NPs and the reduction of MnO_(2)by ascorbic acid produced from ALP-catalyzed dephosphorylation, which showed a detectable range of 0.004-400 U/L with a detection limit of 0.57 mU/L. The excellent performance demonstrated the immense potential of organic nanomaterials through combining HLCT and AIE properties to improve ΦECL.展开更多
基金supported by the KRDPC(No.2019YFA0308000)National Natural Science Foundation of China(Nos.61927808and 91963130)。
文摘The successful applications of two-dimensional(2 D)transition metal dichalcogenides highly rely on rational regulation of their electronic properties.The nondestructive and controllable doping strategy is of great importance to implement 2 D materials in electronic devices.Herein,we propose a straightforward and effective method to realize controllable n-type doping in WSe_(2)monolayer by electron beam irradiation.Electrical measurements and photoluminescence(PL)spectra verify the strong n-doping in electron beam-treated WSe_(2)monolayers.The n-type doping arises from the generation of Se vacancies and the doping degree is precisely controlled by irradiation fluences.Due to the n-dopinginduced narrowing of the Schottky barrier,the current of back-gated monolayer WSe_(2)is enhanced by an order of magnitude and a$8?increase in the electron filed-effect mobility is observed.Remarkably,it is a moderate method without significant reduction in electrical performance and severe damage to lattice structures even under ultra-high doses of irradiation.
文摘Traditional Chinese villages serve as crucial repositories of traditional culture.However,In China,the urgent task of preserving information about traditional village architecture has arisen due to the degradation of these villages’appearance caused by rapid urbanization in recent years.This paper proposes a method for preserving information about traditional village rooftops based on high spatial resolution remote sensing imagery.Leveraging an improved Mask R-CNN model,the method conducts target recognition on the rooftops of traditional village buildings and generates vectorized representations of these rooftops.The precision rate,recall rate,and F1-score achieved in the experimental results are 93.26%,86.33%,and 92.02%,respectively.These findings indicate the effectiveness of the proposed method in preserving information about traditional village architecture and providing a viable approach to support the sustainable development of traditional villages in China.
文摘Traditional Chinese villages,vital carriers of traditional culture,have faced significant alterations due to urbanization in recent years,urgently necessitating artificial intelligence data updates.This study integrates high spatial resolution remote sensing imagery with deep learning techniques,proposing a novel method for identifying rooftops of traditional Chinese village buildings using high-definition remote sensing images.Using 0.54 m spatial resolution imagery of traditional village areas as the data source,this method analyzes the geometric and spectral image characteristics of village building rooftops.It constructs a deep learning feature sample library tailored to the target types.Employing a semantically enhanced version of the improved Mask R-CNN(Mask Region-based Convolutional Neural Network)for building recognition,the study conducts experiments on localized imagery from different regions.The results demonstrated that the modified Mask R-CNN effectively identifies traditional village building rooftops,achieving an of 0.7520 and an of 0.7400.It improves the current problem of misidentification and missed detection caused by feature heterogeneity.This method offers a viable and effective approach for industrialized data monitoring of traditional villages,contributing to their sustainable development.
基金supported by CAMS Innovation Fund for Medical Sciences(CIFMS)(No.2021-I2M-1-031)National Key Research and Development Plan Program(No.2019YFC1710504)。
文摘Objective:Ganoderic acid A can inhibit the proliferation and promotes the apoptosis of cancer cells.Surprisingly,the molecular mechanisms underlying the anti-cancer effects of ganoderic acid A still remain poorly defined.Ganoderic acid A derivative(Ga AD19)is an effective ingredient obtained by structural modification of ganoderic acid A.The purpose of this study was to evaluate the anti-proliferation effect of Ga AD19 on cervical cancer cells.Methods:Through the He La cervical cancer cell model,the drug target of Ga AD19 was predicted using the Swiss Target Prediction database and molecular docking.Subsequently,computer analysis results were verified by a series of molecular biology experiments,such as flow cytometry,Western blot,immunocytochemical staining,terminal deoxynucleotidyl transferase-mediated d UTP nick end labeling(TUNEL),quantitative real time polymerase chain reaction(q PCR),and so on.Then,pathway agonists and inhibitors were used to investigate the mechanism of Ga AD19.Finally,the mouse model of cervical cancer was established to evaluate the inhibitory effect of Ga AD19 on tumor growth in U14 cervical cancer mice.Results:Ga AD19 induced apoptosis and inhibited the growth of tumors.It also blocked the transition from the G1to the S phase of the cell cycle.However,in the presence of a c-Jun N-terminal kinase(JNK)agonist,the effects of Ga AD19 on the proliferation,apoptosis,and cell cycle transition of cancer cells were suppressed.Conclusion:This study showed that Ga AD19 can play an anti-cervical cancer role by inhibiting the JNK signaling pathway.These results will be helpful in further exploring the mechanism of Ga AD19 in the treatment of cervical cancer.
基金funded by by National Natural Science Foundation of China (21890741,21827812)。
文摘Traditional fluorescent emitters cannot eff ectively utilize triplet excitons owing to the spin statistical limitation, thus their electrochemiluminescence(ECL) efficiency(Φ_(ECL)) is relatively low. Improving the utilization efficiency of triplet excitons is of great significance for developing efficient luminescent materials. Here we designed a hot exciton molecule(NZ2TPA) containing highly efficient chromophore naphthothiadiazole as an electron acceptor and triphenylamine(TPA) with aggregation induced emission(AIE) property as the strong electron donor to synthesize an ECL nanoemitter-NZ2TPA nanoparticles(NT NPs). The hybridized local and charge-transfer(HLCT) excited state of NZ2TPA achieved a high exciton utilization through the reverse intersystem crossing from higher triplet states( h RISC). The combination of HLCT and AIE characteristics endowed NT NPs with superior ΦECLover other nanoemitters, which provided an excellent material for the design of highly sensitive ECL biosensors. Using alkaline phosphatase(ALP) as an analyte model, a “signal-on” ECL biosensing approach was constructed by combining the quenching of manganese dioxide nanosheets(MnO_(2)NSs) on ECL emission of NT NPs and the reduction of MnO_(2)by ascorbic acid produced from ALP-catalyzed dephosphorylation, which showed a detectable range of 0.004-400 U/L with a detection limit of 0.57 mU/L. The excellent performance demonstrated the immense potential of organic nanomaterials through combining HLCT and AIE properties to improve ΦECL.
