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| 1 | Hierarchical yolk-shell structured Li-rich cathode boosting cycling and voltage stabled LIBs显示文摘Despite the high energy density of lithium-rich(Li-rich)cathodes,their implementation is hampered by the unsatisfied rate capacity and poor cycling performance accompanied with substantial voltage decay.To address these issues,the hierarchical yolk-shell structured Li_(1.2)Mn_(0.54)Ni_(0.13)Co_(0.13)O_(2)cathodes(YK-LMNCO)was proposed and synthesized through a facile glycerol assisted solvothermal approach and the following lithiation process.Benefitting from the shortened lithium diffusion lengths and the enhanced tolerance to the large volume variation upon lithium ions intercalation/de-intercalation,the unique structure reciprocates an initial coulombic efficiency of 85.8%,an outstanding capacity retention rate of 89.1%after cycling at 2.0 C for 200 cycles with a minor voltage drop,and a capacity retention rate of 93.8%after cycling at 10.0 C for 500 cycles,85.2%for 1,000 cycles.When assembled with graphite as anode,the YK-LMNCO//graphite full cell shows a remarkable capacity retention rate of 87.2%after cycling at 5.0 C for 50 cycles.Our facile strategy for constructing the yolk-shell structured Li-rich cathodes with high capacity and voltage stability sheds light on synthesizing other lithium storage materials. | Yanchen Liu Yafen Chen Jing Wang Wei Wang Zhiyu Ding Leyuan Li Yang Zhang Yida Deng JunweiWu Yanan Chen | 2022 | Nano Research2022，15，4： | 3 |
| 2 | Group-sparse representation with dictionary learnlng for medical imagedenoising and fusion 显示文摘 | Li Shutao Yin Haitao Fang Leyuan | 2012 | IEEE Transactions on Bio-medical Engineering2012，59，12： | 1 |
| 3 | Classif-ication of Hyper- spectral Images by Exploi-ting Spectral Spatial Information of Super-pixel via Multiple K-ernels 显示文摘 | Fang Leyuan Li Shutao | 2015 | IEEE Trans -actions on Geoscience and Remote Sensing2015，53，12： | 1 |
| 4 | Remote sensing image fusion via sparse representations over learned dictionaries显示文摘 | Li Shutao Yin Haitao Fang Leyuan | 2013 | IEEE T Geoscience andRemote Sensing2013，51，9： | 1 |
| 5 | Remote sensing im- age fusion via sparse representations over learned diction- aries 显示文摘 | Li Shutao Yin Haitao Fang Leyuan | 2013 | Geoscience and Remote Sensing IEEE Transac- tions2013，51，5： | 1 |
| 6 | Group-sparse representation with dictionary learning for medical image denoising and fusion显示文摘 | LI Shutao YIN Haitao FANG Leyuan | 2012 | Biomedical Engineering IEEE Transactions on2012，59，12： | 1 |
| 7 | Group-spame representation with dictionary learning for medical image denoising and fusion 显示文摘 | Li Shutao Yin Haitao Fang Leyuan | 2012 | Biomedical Engineering IEEE Transactions on2012，59，12： | 1 |
| 8 | Remote Sensing Image Fusion via Sparse Representations over Learned Dictionaries显示文摘 | LI Shutao YIN Haitao FANG Leyuan | 2013 | IEEE Transactions on Geoscience and Remote Sensing2013，51，9： | 1 |
| 9 | The allocation of berths and quay cranes by using a sub-gradient optimization technique显示文摘 | Canrong Zhang Li Zheng Zhihai Zhang Leyuan Shi Aaron J. Armstrong | 2009 | Computers & Industrial Engineering2009，，1： | 1 |
| 10 | Mutitemporal image change detec- tion using a detail-enhancing approach with nonsubsampledcontourlet transform 显示文摘 | Li Shutao Fang Leyuan | 2012 | IEEE Geoscience and Remote Sen- sing2012，9，5： | 1 |
| 11 | A Note on Deriving Decision Rules to Locate Export Containers in Container Yards 显示文摘 | Can rong Zhang Weiwei Chen Leyuan Shi Li Zheng | 2010 | European Journal of Operational Research2010，205，2： | 1 |
| 12 | Group-sparse representa- tion with dictionary learning for medical image denoising and fu- sion显示文摘 | Li Shutao Vin Haitao Fang Leyuan | 2012 | IEEE Transactions on Biomedical Engineering2012，59，12： | 1 |
| 13 | Remote sensing image fusion via sparse representations over learned dictionaries显示文摘 | SHUTAO LI HAITAO YIN And LEYUAN FANG | 2013 | IEEE Transaction on Geoscience and Remote Sensing2013，51，9： | 1 |
| 14 | Introduction to bioimaging-based spatial multi-omic novel methods显示文摘Background: Spatial multi-omics are demonstrated to be a powerful method to assist researchers on genetic studies. In this review, bioimaging-based spatial multi-omics techniques such as seqFISH+, merFISH, integrated DNA seqFISH+, DNA merFISH, and MINA are introduced along with each technique’s probe design, development, and imaging processes.Results: seqFISH employed 4–5 fluorophores to barcode and conducted multiple rounds of hybridization, in order that mRNA can be identified through color-coding. seqFISH+ added 60 pseudo-color and distributed them equally into three channels to enhance imaging power, in order that i.e., 24,000 genes can be imaged in total. merFISH utilized 4 out 16 Hamming distance to innovatively provide a robust error-detecting method. MINA, a methodology combining merFISH (multiplexed error-robust fluorescence in situ hybridization) and chromosomal tracing, enabled multiplexed genomic architecture imaged in mammalian single cells. Optical reconstruction of chromatin architecture (ORCA) a method that could conduct DNA path tracing in nanoscale manner with kilobase resolution, an FISH variation that improved genetic resolution, enable high-precision fiducial registration and sequential imaging, and utilized Oligopaint probe to hybridize the short genomic region ranging from 2 to 10 kilobase. ORCA then prescribes these short section primary probes with individual barcodes to attach fluorophore and to be imaged.Conclusion: This review concentrated on providing a comprehensive overview for these spatial-multi-omics techniques with the intention on helping researchers on selecting appropriate technique for their research. | Yan Yan Liheng Yang Leyuan Meng Haochen Su Cheng Zhou Le Yu Zhengtu Li Xu Zhang Huihua Cai Juntao Gao | 2023 | Quantitative Biology2023，11，3： | 0 |
| 15 | An Isomerism Learning Model to Solve Time-Varying Problems Through Intelligent Collaboration显示文摘Dear Editor,This letter deals with a solution for time-varying problems using an intelligent computational(IC)algorithm driven by a novel decentralized machine learning approach called isomerism learning.In order to meet the challenges of the model’s privacy and security brought by traditional centralized learning models,a private permissioned blockchain is utilized to decentralize the model in order to achieve an effective coordination,thereby ensuring the credibility of the overall model without exposing the specific parameters and solution process. | Zhihao Hao Guancheng Wang Bob Zhang Leyuan Fang Haisheng Li | 2023 | IEEE/CAA Journal of Automatica Sinica2023，10，8： | 0 |
| 16 | Willingness of the General Public to Receive A COVID-19 Vaccine Booster—China,April–May 2021显示文摘Summary What is already known about this topic?A coronavirus disease 2019(COVID-19)vaccine booster is planned for administration to eligible individuals.Understanding the factors that influence attitudes towards the booster shot will help to identify groups that will most readily accept a booster dose.What is added by this report?Of the individuals polled,75.2%reported they would receive a booster shot.Sociodemographic characteristics influencing booster vaccine acceptance included age,gender,occupation,and education.Moreover,those who had been vaccinated against influenza,who believed herd immunity would be effective against severe acute respiratory syndrome coronavirus 2,and who reported reduced anxiety after vaccination were more likely to accept a booster dose.What are the implications for public health practice?A booster shot of the COVID-19 vaccine could be widely accepted.Communicating about the effectiveness of the COVID-19 vaccine and the impact of infection on people’s health could help increase public willingness to get a booster dose. | Xiaoxiao Wang Leyuan Liu Minyue Pei Xiaoguang Li Nan Li | 2022 | China CDC weekly2022，4，4： | 0 |
| 17 | A cluster of mutagenesis revealed an osmotic regulatory role of the OsPIP1 genes in enhancing rice salt tolerance显示文摘Aquaporins play important regulatory roles in improving plant abiotic stress tolerance.To better understand whether the Os PIP1 genes collectively dominate the osmotic regulation in rice under salt stress,a cluster editing of the Os PIP1;1,Os PIP1;2 and Os PIP1;3 genes in rice was performed by CRISPR/Cas9 system.Sequencing showed that two mutants with Cas9-free,line 14 and line 18 were successfully edited.Briefly,line 14 deleted a single C base in both the Os PIP1;1 and Os PIP1;3 genes,and inserted a single T base in the Os PIP1;2 gene,respectively.While line 18 demonstrated an insertion of a single A base in the Os PIP1;1gene and a single T base in both the Os PIP1;2 and Os PIP1;3 genes,respectively.Multiplex editing of the Os PIP1 genes significantly inhibited photosynthetic rate and accumulation of compatible metabolites,but increased MDA contents and osmotic potentials in the mutants,thus delaying rice growth under salt stress.Functional loss of the Os PIP1 genes obviously suppressed the expressions of the Os PIP1,Os SOS1,Os CIPK24 and Os CBL4 genes,and increased the influxes of Na+and effluxes of K^(+)/H^(+)in the roots,thus accumulating more Na+in rice mutants under salt stress.This study suggests that the Os PIP1 genes are essential modulators collectively contributing to the enhancement of rice salt stress tolerance,and multiplex editing of the Os PIP1 genes provides insight into the osmotic regulation of the PIP genes. | Leyuan Tao Bing Wang Shichao Xin Wei Li Shengcai Huang Laihua Liu Jing Cui Qianru Zhang Xianguo Cheng | 2023 | The Crop Journal2023，11，4： | 0 |
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