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| 1 | Ultra-thin metal-organic framework nanoribbons显示文摘Structure engineering of metal-organic frameworks(MOFs)at the nanometer scale is attracting increasing interest due to their unique properties and new functions that normally cannot be achieved in bulk MOF crystals.Here,we report the preparation of ultra-thin MOF nanoribbons(NRBs)by using metal-hydroxide nanostructures as the precursors.Importantly,this general method can be used to synthesize various kinds of ultra-thin MOF NRBs,such as MBDC(M=Co,Ni;BDC=1,4-benzenedicarboxylate),NiCoBDC,CoTCPP(TCPP=tetrakis(4-carboxyphenyl)porphyrin)and MIL-53(Al)NRBs.As a proof-of-concept application,the as-prepared ultra-thin Co BDC NRBs have been successfully used as a fluorescent sensing platform for DNA detection,which exhibited excellent sensitivity and selectivity.The present strategy might open an avenue to prepare MOF nanomaterials with new structures and unique properties for various promising applications. | Bingqing Wang Meiting Zhao Liuxiao Li Ying Huang Xiao Zhang Chong Guo Zhicheng Zhang Hongfei Cheng Wenxian Liu Jing Shang Jing Jin Xiaoming Sun Junfeng Liu Hua Zhang | 2020 | National Science Review2020，7，1： | 1 |
| 2 | Bismuth doped Sr_(2)Fe_(1.5)Mo_(0.5)O_(6)-δdouble perovskite as a robust fuel electrode in ceramic oxide cells for direct CO_(2)electrolysis显示文摘Electrochemical conversion of CO_(2)to CO is an economically feasible method for mitigating greenhouse gas emissions.Among various electrochemical approaches,solid oxide electrolysis cells(SOECs)show high potential for CO_(2)reduction reaction(CO_(2)-RR)due to their ability to operate at high temperatures,resulting in fast reaction kinetics and increased efficiency.Considering their main energy loss is still associated with the large overpotential at the fuel electrode,the development of the highly efficient and durable cathode for SOECs has been extensively searched after.Here,we propose an A-site doping strategy to enhance the properties of Sr_(2)Fe_(1.5)Mo_(0.5)O_(6)−δ(SFM),which improve its performance as a cathode in SOECs for CO_(2)-RR,demonstrating favorable activity and durability.The structural and physiochemical characterizations,together with DFT calculations,show that the partial replacement of Sr by Bi in the SFM double perovskite not only improves CO 2 adsorption capability at the catalyst surface but also enhances oxygen ionic conduction inside the bulk oxide,resulting in enhanced CO_(2)electrocatalysis performance in SOECs.Specifically,a La_(0.8)Sr_(0.2)Ga_(0.8)Mg_(0.2)O_(3)−δ(LSGM)electrolyte-supported single cell with the new Bi-doped SFM cathode demonstrates a large current density of 1620 mA cm^(−2) at a cell potential of 1.6 V at 850°C with good operational stability up to 200 h.Bi-doped SFM thus represents a highly promising cathode for ceramic CO_(2)electrolyzers and could accelerate our transition towards a carbon-neutral society. | Meiting Yang Zhen Yao Shuai Liu Jun Wang Anwei Sun Haoran Xu Guangming Yang Ran Ran Wei Zhou Gang Xiao Zongping Shao | 2023 | Journal of Materials Science & Technology2023，，33： | 0 |
| 3 | Double-cycle weighted imputation method for wastewater treatment process data with multiple missing patterns显示文摘Due to sensor malfunctions and communication faults,multiple missing patterns frequently happen in wastewater treatment process(WWTP).Nevertheless,the existing missing data imputation works cannot stand multiple missing patterns because they have not sufficiently utilized of data information.In this article,a double-cycle weighted imputation(DCWI)method is proposed to deal with multiple missing patterns by maximizing the utilization of the available information in variables and instances.The proposed DCWI is comprised of two components:a double-cycle-based imputation sorting and a weighted K nearest neighbor-based imputation estimator.First,the double-cycle mechanism,associated with missing variable sorting and missing instance sorting,is applied to direct the missing values imputation.Second,the weighted K nearest neighbor-based imputation estimator is used to acquire the global similar instances and capture the volatility in the local region.The estimator preserves the original data characteristics as much as possible and enhances the imputation accuracy.Finally,experimental results on simulated and real WWTP datasets with non-stationarity and nonlinearity demonstrate that the proposed DCWI produces more accurate imputation results than comparison methods under different missing patterns and missing ratios. | HAN HongGui SUN MeiTing WU XiaoLong LI FangYu | 2022 | Science China(Technological Sciences)2022，65，12： | 0 |
| 4 | MiR-430 Can Affect the Mesoderm Formation and Metamorphosis of Paralichthys olivaceus by Targeting lefty Gene显示文摘MiR-430 is a non-coding small RNA that participates in early embryonic development by acting on the Nodal signaling pathway.Its functions in Paralichthys olivaceus(P.olivaceus),however,remain unclear.In this study,through biological information technology,we hypothesized lefty was the target gene of miR-430.Lefty is a divergent member of the transforming growth factor-β(TGF-β)superfamily,and is involved in regulating left-right patterning as an antagonist of the Nodal signaling pathway.To study the relationship between miR-430 and lefty gene,miR-430 and fluorescent expression vector were transfected into embryo cells.Our results showed that miR-430 has important effects on early embryonic development.It can inhibit the expressions of lefty and other genes related to Nodal signaling pathway.Additionally,the expression of miR-430 was involved in the metamorphosis of P.olivaceus.This study clarifies the function of miR-430 in P.olivaceus,which will be helpful for further research on the interactions between miR-430 and the Nodal signaling pathway. | LI Rui WANG Zhenwei SUN Minmin PENG Meiting QI Jie WANG Zhigang | 2020 | Journal of Ocean University of China2020，19，2： | 0 |
| 5 | Univariate imputation method for recovering missing data in wastewater treatment process显示文摘High-quality data play a paramount role in monitoring,control,and prediction of wastewater treatment process(WWTP)and can effectively ensure the efficient and stable operation of system.Missing values seriously degrade the accuracy,reliability and completeness of the data quality due to network collapses,connection errors and data transformation failures.In these cases,it is infeasible to recover missing data depending on the correlation with other variables.To tackle this issue,a univariate imputation method(UIM)is proposed for WWTP integrating decomposition method and imputation algorithms.First,the seasonal-trend decomposition based on loess method is utilized to decompose the original time series into the seasonal,trend and remainder components to deal with the nonstationary characteristics of WWTP data.Second,the support vector regression is used to approximate the nonlinearity of the trend and remainder components respectively to provide estimates of its missing values.A self-similarity decomposition is conducted to fill the seasonal component based on its periodic pattern.Third,all the imputed results are merged to obtain the imputation result.Finally,six time series of WWTP are used to evaluate the imputation performance of the proposed UIM by comparing with existing seven methods based on two indicators.The experimental results illustrate that the proposed UIM is effective for WWTP time series under different missing ratios.Therefore,the proposed UIM is a promising method to impute WWTP time series. | Honggui Han Meiting Sun Huayun Han Xiaolong Wu Junfei Qiao | 2023 | Chinese Journal of Chemical Engineering2023，53，1： | 0 |
| 6 | Transgenerational analysis of H3K4me3 and H3K27me3 by ChIP-Seq links epigenetic inheritance to metabolism显示文摘Histone methylation is a kind of important epigenetic modification which occurs on the lysine residue or arginine residue of histone tails(Zhang and Reinberg,2001).It takes part in multiple biological processes,including gene expression,genomic stability,stem cell maturity,genetic imprinting,mitosis and development(Fischle et al.,2005).Abnormal histone methylation pattern | Ke An Fengxia Du Hao Meng Guochao Li Minjie Zhang Zongzhi Liu Zitong Zhao Zilong Zhang Di Yu Dong Wang Caiyun Yang Wencui Ma Lin Yuan Meiting Zhou Lili Duan Li Jin Hui Li Yan Zhang Jianzhong Su Jie Qiao Yingli Sun | 2018 | Journal of Genetics and Genomics2018，45，3： | 0 |
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