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| 1 | Randomized trial of autologous bone marrow mesenchymal stem cells transplantation for hepatitis B virus cirrhosis: Regulation of T reg/ T h17 cells显示文摘 | Lanman Xu Yuewen Gong Benfu Wang Keqing Shi Yijun Hou Liping Wang Zuo Lin Yixiang Han Lu Lu Dazhi Chen Xiuli Lin Qiqiang Zeng Wenke Feng Yongping Chen | 2014 | J Gastroenterol Hepatol2014，，8： | 1 |
| 2 | Preparation of zirconium boride (ZrB) ceramic nanofibers by electrnspinning 显示文摘 | Sun Zeyu Han Keqing Yu Muhuo | 2011 | Proceedings of 2011 International Conference on Advanced Fibers and Polymer Materials2011，，8： | 1 |
| 3 | Study on the grafting of PET onto the glass fiber surface during in situ solid- state polycondensation 显示文摘 | YAN Weixia HAN Keqing ZHOU Hongmei | 2006 | J Appl Polym2006，99，： | 1 |
| 4 | Simultaneously boostingtoughness and tensile strength for polyamide 6/montmorillonitenanocomposite by a pressure-induced flow field显示文摘 | Shu Zhu Han Keqing Zhang Sen | 2014 | Journal ofMacromolecular Science Part B2014，53，16： | 1 |
| 5 | Study onthe Grafting of PET onto the Glass Fiber Surface during In SituSolid-State Polycondensation显示文摘 | Weixia Yan KeQing Han Hongmei Zhou MuHuo Yu | 2006 | Journal of Applied Polymer Sci-ence2006，99，3： | 1 |
| 6 | Study of the preparation and properties of UV-blocking fabrics of a PET/TiO2 nanocomposite prepared by in situ polycondensation 显示文摘 | Keqing Han Muhuo Yu | 2006 | JAPP1 Polym sci2006，100，： | 1 |
| 7 | Microstructural and Mechanical Characterization of SiBNC Coated Carbon Fibers Prepared via PIP Method显示文摘The preparation of SiBNC ceramic oxidation-resistant coating on carbon fiber via precursorsolution infiltration and pyrolysis(PIP) method was presented and discussed in detail. Moreover, the microstructures and the components of the coating were characterized. The experiment results showed that the 0.5% polyborosilazane(PBSZ) solution in the coating preparation gave fewer defects, in contrast with the 1% and the 5% PBSZ solutions. The strength of the carbon fiber coated with SiBNC-0.5 wt%(3.08 GPa) was decreased by 12%. Compared with uncoated carbon fiber, the starting oxidation temperature and the reaction activation energy of the coated carbon fibers(SiBNC-0.5 wt%) have increased by about 300 ℃ and 104%, respectively. The oxidation resistance of the SiBNC coated carbon fiber was improved dramatically. | 刘勇 CUI Yongjie HAN Keqing 张辉 YU Muhuo | 2018 | Journal of Wuhan University of Technology(Materials Science)2018，33，4： | 1 |
| 8 | Study on long fiber-reinforced thermoplastic composites prepared by in situ solid-state polycondensation显示文摘 | Yan Weixia Han Keqing Qin Liuliang | 2004 | Applied Polymer Science2004，91，6： | 1 |
| 9 | Rheological behaviors of polyacrylonitrile melt using ionic liquids as a plasticizer显示文摘 | Tian Yincai Han Keqing Qin Huilin | 2012 | Adv Mater Res2012，，： | 1 |
| 10 | Influence of melt temperature on structure of polyacrylonitrile in ionic liquids during plasticized melt spinning process显示文摘 | Tian Yincai Han Keqing Zhang Wenhui | 2012 | Appl Mech Mater2012，，： | 1 |
| 11 | Influence of residence time on the structure of polyacrylonitrile in ionic liquids during melt spinning process显示文摘 | Tian Yincai Han Keqing Zhang Wenhui | 2013 | Mater Lett2013，92，： | 1 |
| 12 | Preparation and mechanical properties of long glass fiber reinforced PA 6 composites prepared by a novel process显示文摘 | Han Keqing Liu Zhengjun Yu Muhuo | 2005 | Macromolecular Materials and Engineering2005，290，7： | 1 |
| 13 | Precursor Based on Polyborylborazine for BN Fiber: Preparation and Rheology Properties显示文摘 | Shutong Li Yimiao Cao Keqing Han Xi Zhao Muhuo Yu | 2009 | Journal of Macromolecular Science, Part B2009，，： | 1 |
| 14 | Study on long fiber-reinforced thermoplastic composites prepared by in situ solid-state polyconden- sation 显示文摘 | Weixia Yan Keqing Han Liuliang Qin | 2004 | Applied Polymer Science2004，91，6： | 1 |
| 15 | Study of the Preparation and Properties of UV-Bloeking Fabrics of PET/TiO2 Nanocomposite Prelze, red by In Situ Polycondensation显示文摘 | HAN Keqing YU Muhuo | 2006 | Journal of Applied Polymer Science2006，100，： | 1 |
| 16 | Influence of exter- nal tension on the structure and properties of melt-spun PAN precursor fibers during thermal oxidation 显示文摘 | Liu Shuping Han Keqing Chen Lei | 2015 | Macromol Mater Eng2015，300，10： | 1 |
| 17 | Fly Ash and Slag as Partial Replacement of Cement for the Synthesis of Low Carbon Cementitious Materials显示文摘Tailings known as solid waste are generated by the mining industry.The development of tailings as wet shotcrete aggregates has significant economic and environmental benefits.The fine particle size of the tailings results in a large consumption of traditional cement as a cementitious material and insignificant improvement in strength.Therefore,a composite cementitious system of cement and solid waste resources(fly ash and slag powder)is explored for this study.In this paper,the response surface methodology(RSM)is used to optimize the experimental design and a multivariate nonlinear response model with cement,fly ash and slag powder contents as variables are constructed,which can investigate the effect of the composite cementitious system on the strength of tailing wet shotcrete(TWSC).In addition,the information entropy(IE)is introduced and combined with the RSM to evaluate the composite cementitious system.Finally,the desirability function(DF)combined with RSM is used to optimize the composite cementitious system.The results show that the response model constructed in this paper has R^(2)=0.96 and P-value<0.01(the test result of the model is P-value<0.01),which indicates that the model has high reliability.The higher the content of slag powder and cement in the composite cementitious system,the higher the strength and comprehensive score of the TWSC.There is a critical value of fly ash content,which makes the maximum cementation of the composite cementing system.The optimal mix proportion of the composite cementitious system is obtained based on RSM-DF,which leads to the strength of TWSC at different curing time to achieve the expected index. | Yafei Hu Keqing Li Lujing Zheng Bin Han | 2023 | Journal of Renewable Materials2023，11，5： | 0 |
| 18 | Detector development at the Back-n white neutron source显示文摘Purpose Back-n is a white neutron beamline at China spallation neutron source,which was established in the year of 2018.It is a powerful facility for nuclear data measurement,neutron detector calibration,and radiation effect research.Method A series of detectors were built for different experiments,including beam monitoring,beam profile measurement,neutron induced secondaries(fission fragments,light charged particles and gamma)cross section measurement,and neutron resonance radiography,etc.A common digitization electronics and a cluster-based DAQ were developed for these detector systems.Most detectors have been employed at Back-n and serviced for experiments from the beginning of the beamline running.Results and conclusion As an overview of detectors of Back-n,the details of the detector design and the experiment performing are described in this paper.Some developing systems,e.g.,MTPC and B-MCP,are also included. | Fan Ruirui Li Qiang Bao Jie Li Yang Liu Rong Jiang Wei Ren Jie Zhang Qiwei Cao Ping Gu Minhao Ren Zhizhou Yi Han Tang Jingyu An Qi Bai Haofan Bai Jiangbo Chen Qiping Chen Yonghao Chen Zhen Cui Zengqi Fan Anchuan Feng Changqing Feng Fanzhen Gao Keqing Han Changcai Han Zijie He Guozhu He Yongcheng Hong Yang Hu Yiwei Huang Hanxiong Jia Weihua Jiang Haoyu Jiang Zhijie Jin Zhengyao Kang Ling Li Bo Li Chao Li Gong Li Jiawen Li Xiao Liu Jie Liu Shubin Luan Guangyuan Ning Changjun Qi Binbin Ruan Xichao Song Zhaohui Sun Kang Tan Zhixin Tang Shengda Wang Pengcheng Wang Zhaohui Wen Zhongwei Wu Xiaoguang Wu Xuan Xie Likun Yang Yiwei Yu Yongji Zhang Guohui Zhang Linhao Zhang Mohan Zhang Xianpeng Zhang Yuliang Zhang Yue Zhang Zhiyong Zhao Maoyuan Zhou Luping Zhou Zhihao Zhu Kejun The CSNS Back-n Collaboration | 2023 | Radiation Detection Technology and Methods2023，7，2： | 0 |
| 19 | A Modeling Method for Predicting the Strength of Cemented Paste Backfill Based on a Combination of Aggregate Gradation Optimization and LSTM显示文摘Cemented paste backill(CPB)is a susta inable mining technology that is widely used in mines and helps to improve the mine environment.To investigate the relationship between aggregate grading and different affecting factors and the uniaxial compressive strength(UCS)of the cemented paste backill(CPB),Talbol gradation theory and neural networks is used to evaluate aggregate gradation to determine the optimum aggregate ratio.The mixed aggregate ratio with the least amount of cement(waste stone content river sand content=7:3)is obtained by using Talbol grading theory and pile compactness function and combined with experiments.In addition,the response surface method is used to design strength speaific ratio experiments.The UCS prediction model which ues the ISTM and considers the aggregates gradation have high accuracy.The root mean square error(RMSE)of the prediction results is 0.0914,the coefficient of determination(R^(2))is 0.9973 and the variance account for(VAF)is 99.73.Compared with back propagation neural network(BP-ANN),extreme lea ming machine(ELM)and madal basis function neural network(RBF ANN),LSTM can efectively characterize the nonlinear relationship between UCS and individual affecting factors and predict UCS with high accuracy.The sensitivity analysis of different affecting factors on UCS shows that all 4 factors have significant effect on UCS and sensitivity is in the following ranking:cement content(0.9264)>slurry concentration(0.9179)>aggregate gradation(waste rodk content)(0.9031)>curing time(09031). | Bo Zhang Keqing Li Siqi Zhang Yafei Hu Bin Han | 2022 | Journal of Renewable Materials2022，10，12： | 0 |
| 20 | Comprehensive utilization of solid waste resources: Development of wet shotcrete for mines显示文摘The development of solid waste resources as constituent materials for wet shotcrete has significant economic and environmental advantages. In this study, the concept of using tailings as aggregate and fly ash and slag powder as auxiliary cementitious material is proposed and experiments are carried out by response surface methodology(RSM). Multivariate nonlinear response models are constructed to investigate the effect of factors on the uniaxial compressive strength(UCS) of tailings wet shotcrete(TWSC). The UCS of TWSC is predicted and optimized by constructing Gaussian process regression(GPR) and genetic algorithm(GA). The UCS of TWSC is gradually enhanced with the increase of slag powder dosage and fineness modulus, and it is enhanced first and then decreased with the increase of fly ash dosage. The microstructure of TWSC has the highest gray value and the highest UCS when the fly ash dosage is about 120 kg·m^(-3). The GPR–GA model constructed in this study achieves high accuracy prediction and optimization of the UCS of TWSC under multi-factor conditions. | Yafei Hu Shenghua Yin Keqing Li Bo Zhang Bin Han | 2023 | International Journal of Minerals,Metallurgy and Materials2023，30，9： | 0 |
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