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您的检索式：作者名="Sifan Qiao"
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| 1 | The Solar Upper Transition Region Imager(SUTRI)Onboard the SATech-01 Satellite显示文摘The Solar Upper Transition Region Imager(SUTRI)onboard the Space Advanced Technology demonstration satellite(SATech-01),which was launched to a Sun-synchronous orbit at a height of~500 km in 2022 July,aims to test the on-orbit performance of our newly developed Sc/Si multi-layer reflecting mirror and the 2k×2k EUV CMOS imaging camera and to take full-disk solar images at the Ne VII 46.5 nm spectral line with a filter width of~3 nm.SUTRI employs a Ritchey-Chrétien optical system with an aperture of 18 cm.The on-orbit observations show that SUTRI images have a field of view of~416×416 and a moderate spatial resolution of~8″without an image stabilization system.The normal cadence of SUTRI images is 30 s and the solar observation time is about16 hr each day because the earth eclipse time accounts for about 1/3 of SATech-01's orbit period.Approximately15 GB data is acquired each day and made available online after processing.SUTRI images are valuable as the Ne VII 46.5 nm line is formed at a temperature regime of~0.5 MK in the solar atmosphere,which has rarely been sampled by existing solar imagers.SUTRI observations will establish connections between structures in the lower solar atmosphere and corona,and advance our understanding of various types of solar activity such as flares,filament eruptions,coronal jets and coronal mass ejections. | Xianyong Bai Hui Tian Yuanyong Deng Zhanshan Wang Jianfeng Yang Xiaofeng Zhang Yonghe Zhang Runze Qi Nange Wang Yang Gao Jun Yu Chunling He Zhengxiang Shen Lun Shen Song Guo Zhenyong Hou Kaifan Ji Xingzi Bi Wei Duan Xiao Yang Jiaben Lin Ziyao Hu Qian Song Zihao Yang Yajie Chen Weidong Qiao Wei Ge Fu Li Lei Jin Jiawei He Xiaobo Chen Xiaocheng Zhu Junwang He Qi Shi Liu Liu Jinsong Li Dongxiao Xu Rui Liu Taijie Li Zhenggong Feng Yamin Wang Chengcheng Fan Shuo Liu Sifan Guo Zheng Sun Yuchuan Wu Haiyu Li Qi Yang Yuyang Ye Weichen Gu Jiali Wu Zhe Zhang Yue Yu Zeyi Ye Pengfeng Sheng Yifan Wang Wenbin Li Qiushi Huang Zhong Zhang | 2023 | Research in Astronomy and Astrophysics2023，23，6： | 1 |
| 2 | Efficient ORR catalysts for zinc-air battery: Biomass-derived ultra-stable Co nanoparticles wrapped with graphitic layers via optimizing electron transfer显示文摘The poor stability of non-noble metal catalysts in oxygen reduction reaction(ORR) is a main bottleneck that limits their big-scale application in metal-air batteries. Herein, we construct a chainmail catalyst(Co-NC-AD) with outstanding stability, via the competitive complexation and post absorption strategy,consisting of highly graphitic layers wrapped uniform-size Co nanoparticles(Co-NPs). Experiments combined with density functional theory(DFT) calculations jointly confirmed that the electron transfer occurred from the inner Co-NPs to the external graphitic layers. It facilitated the adsorption process of oxygen molecules and the hybridization of the O-2 p and C-1 p orbitals, which accelerated the ORR reaction kinetics. Consequently, our prepared Co-NC-AD shows excellent ORR activity, offered with a more positive initial potential(E_(onset)= 0.95 V) and half-wave potential(E_(1/2)= 0.86 V). The remarkable stability and resistance of methanol poisoning are merited from the protection effect of stable graphitic layers. In addition, the high electrochemical performance of Co-NC-AD-based zinc-air battery demonstrates their potential for practical applications. Therefore, our work provides new ideas for the design of nanoconfined catalysts with high stability and activity. | Yu Feng Kexin Song Wei Zhang Xinyan Zhou Seung Jo Yoo Jin-Gyu Kim Sifan Qiao Yugang Qi Xu Zou Zhongjun Chen Tingting Qin Nailin Yue Zizhun Wang Dabing Li Weitao Zheng | 2022 | Journal of Energy Chemistry2022，31，7： | 0 |
| 3 | M1 macrophage-related gene model for NSCLC immunotherapy response prediction显示文摘Patients diagnosed with non-small cell lung cancer(NSCLC)have a limited lifespan and exhibit poor immunotherapy outcomes.M1 macrophages have been found to be essential for antitumor immunity.This study aims to develop an immunotherapy response evaluation model for NSCLC patients based on transcription.RNA sequencing profiles of 254 advanced-stage NSCLC patients treated with immunotherapy are downloaded from the POPLAR and OAK projects.Immune cell infiltration in NSCLC patients is examined,and thereafter,different coexpressed genes are identified.Next,the impact of M1 macrophage-related genes on the prognosis of NSCLC patients is investigated.Six M1 macrophage coexpressed genes,namely,NKX2-1,CD8A,SFTA3,IL2RB,IDO1,and CXCL9,exhibit a strong association with the prognosis of NSCLC and serve as effective predictors for immunotherapy response.A response model is constructed using a Cox regression model and Lasso Cox regression analysis.The M1 genes are validated in our TD-FOREKNOW NSCLC clinical trial by RT-qPCR.The response model shows excellent immunotherapy response prediction and prognosis evaluation value in advanced-stage NSCLC.This model can effectively predict advanced NSCLC prognosis and aid in identifying patients who could benefit from customized immunotherapy as well as sensitive drugs. | Sifan Wu Qiqi Sheng Pengjun Liu Zhe Jiao Jinru Lv Rong Qiao Dongkun Xie Zanhan Wang Jiamei Ge Penghui Li Tiaoxia Wei Jie Lei Jieyi Fan Liang Wang | 2024 | Acta Biochimica et Biophysica Sinica2024，56，3： | 0 |
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