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您的检索式：作者名="Shaoming Qiao"
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| 1 | Competing reduction induced homogeneous oxygen doping to unlock MoS_(2)basal planes for faster polysulfides conversion显示文摘The parasitic polysulfides shuttle effect greatly hinders the practical application of lithium sulfur batteries,and this issue can be addressed by promoting polysulfides conversion with catalytic materials such as Mo S_(2).However,the catalytic activity of Mo S_(2)mainly relies on edge sites,but is limited by inert basal planes.We herein report a novel,facile,ethylene glycol enabled competing reduction strategy to dope Mo S_(2)homogeneously with oxygen atoms so that its inert basal planes can be unlocked.Ethylene glycol works as a reducing agent and competes with thiourea to react with ammonium molybdate,leading to insufficient sulfuration of Mo,and consequent formation of O-Mo S_(2).Our theoretical and experimental investigations indicate that the homogeneously distributed O dopants can create abundant adsorption/-catalytic sites in the Mo S_(2)basal planes,enlarge the inter-plane distance to promote ion transport,and thus enhance the catalytic conversion of polysulfides.The oxygen doped Mo S_(2)(O-Mo S_(2))is supported on carbon nanosheets(CNS)and the composite(O-Mo S_(2)/CNS)is employed to modify the separator of Li-S battery.It gives the battery an initial discharge capacity of 1537 m Ah g-1at 0.2 C,and the battery retains a discharge capacity of 545 m Ah g-1after ultra-long 2000 cycles at 1 C,corresponding to a very small cyclic decay rate of 0.0237%.Even under a raising sulfur loading of 8.2 mg cm^(-2),the Li-S battery also delivers a high discharge capacity(554 m Ah g^(-1))with outstanding cycle stability(84.6%capacity retention)after 100 cycles at 0.5 C.Our work provides a novel,facile approach to fabricate highly catalytically active oxygen-doped Mo S_(2)for advanced Li-S batteries. | Da Lei Wenzhe Shang Xu Zhang Yongpeng Li Xiaoshan Shi Shaoming Qiao Qian Wang Qiang Zhang Ce Hao Hui Xu Guohua Chen Gaohong He Fengxiang Zhang | 2022 | Journal of Energy Chemistry2022，31，10： | 1 |
| 2 | EpiFIT: functional interpretation of transcription factors based on combination of sequence and epigenetic information显示文摘Backgrounds Transcription factor is one of the most important regulators in the transcriptional process.Nevertheless,the functional interpretation of transcription factors is still a main challenge due to the poor performance of methods relating to regulatory regions to genes.Epigenetic information,such as chromatin accessibility,contains genome-wide knowledge about transcription regulation and thus may shed light on the functional interpretation of transcription factors.Methods:We propose EpiFIT(Epigenetic based Functional Interpretation of Transcription factors),a tool to infer functions of transcription factors from ChlP-seq data.Briefly,we adopt a variable distance rule to establish associations between regulatory regions and nearby genes.The associations are then filtered to ensure that the remaining regions and associated genes are co-open.Finally,GO enrichment is applied to all related genes and a ranking list of GO terms is provided as functional interpretation.Results:We first examined the chromatin openness correlation between regulatory regions and associated genes.The correlation can help EpiFIT purify regulatory region-gene associations.By evaluating EpiFIT on a set of real data,we demonstrated that EpiFIT outperforms other existing methods for precisely interpreting transcription factor functions.We further verify the efficiency of openness in interpretation and the ability of EpiFIT to build distal region-gene associations.Conclusion:EpiFIT is a powerful tool for interpreting the transcription factor functions.We believe EpiFIT will facilitate the functional interpretation of other regulatory elements,and thus open a new door to understanding the regulatory mechanism.Availability:The application is freely accessible at website:bioinfo.au.tsinghua.edu.cn/openness/EpiFIT/. | Shaoming Song Hongfei Cui Shengquan Chen Qiao Liu Rui Jiang | 2019 | Quantitative Biology2019，7，3： | 0 |
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