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Temporal response of laminated graded-bandgap GaAs-based photocathode with distributed Bragg reflection structure:Model and simulation
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作者 zi-heng wang Yi-Jun Zhang +7 位作者 Shi-Man Li Shan Li Jing-Jing Zhan Yun-Sheng Qian Feng Shi Hong-Chang Cheng Gang-Cheng Jiao Yu-Gang Zeng 《Chinese Physics B》 SCIE EI CAS CSCD 2022年第9期628-635,共8页
To describe the dynamic response characteristics of the laminated graded-bandgap GaAs-based photocathode with distributed Bragg reflection structure,a general theoretical temporal response model is deduced by combinin... To describe the dynamic response characteristics of the laminated graded-bandgap GaAs-based photocathode with distributed Bragg reflection structure,a general theoretical temporal response model is deduced by combining the unsteady continuity equation and numerical calculation method.Through the model,the contribution of the distribution Bragg reflec-tion structure and graded-bandgap emission layer to the temporal response are investigated.Meanwhile,the relationships between the temporal response characteristics of the laminated GaAs-based photocathode and different structural parame-ters are also analyzed,including average electron decay time,emission layer thickness,and incident light wavelength.It is found that the introduction of distribution Bragg reflection(DBR)layer solves the discrepancy between the absorption capability of the emission layer and the temporal response.Moreover,the distributed Bragg reflection layer can improve the time response by optimizing the initial photoelectron distribution.The improvement effect of the DBR layer on the temporal response is enhanced with the emission layer thickness decreasing or the incident light wavelength increasing.These results explain the effect of the DBR layer of the photocathode on the dynamic characteristics,which can offer a new insight into the dynamic research of GaAs-based photocathode. 展开更多
关键词 temporal response GaAs-based photocathode distribution Bragg reflection graded-bandgap
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Bioinformatic analysis reveals novel biomarkers and candidate drug compositions in prostate cancer
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作者 Yi-Dan Sun Ying Zhang +3 位作者 Shi-Qi Ren zi-heng wang Pei-Ying Yang Ying-Jie Jia 《TMR Integrative Medicine》 2020年第4期1-12,共12页
As prostate cancer(PC)patients do more and more genome sequencing,we can predict prognosis through individual oncogenic mutations.Although great success have been made to clarify the incidence of PC,the mechanisms was... As prostate cancer(PC)patients do more and more genome sequencing,we can predict prognosis through individual oncogenic mutations.Although great success have been made to clarify the incidence of PC,the mechanisms was not completely understood.Recurrence and metastasis of PC remains to be resolved,and novel therapeutic targets need to be found urgently.Microarray datasets GSE6919,GSE55945 and GSE46602 about the PC tissues vs.normal organizations,were obtained from Gene Expression Omnibus.In this study,86 differentially expressed genes were determined having more important clinical significance in the process of PC.29 hub genes significantly enriched in biological processes were analyzed using Cytoscape.The function of these hub genes included the effect of cellular process,skeletal system development,cholesterol transport,regulation of protein oligomerization and cellular component biogenesis,enzyme inhibitor activity and so on.The three of these hub genes were picked out because of their relationships,which can be used as a potential target for the diagnosis and the direction of therapy.And drug predictions were designed for these candidate target molecules,providing direction for future treatment of PC. 展开更多
关键词 Prostate cancer Bioinformatic analysis Candidate target molecules Differentially expressed genes(DEGs)
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