|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | Study on the rheology of coal-oil slurries during heating at high pressure显示文摘 | Bingfeng Yan | 2017 | International Journal of Coal Science & Technology2017，4，3： | 4 |
| 2 | Adaptive Integrated Guidance and Control Based on Backstepping and I nput‐to‐ S tate S tability显示文摘 | Han Yan Xinghu Wang Bingfeng Yu Haibo Ji | 2014 | Asian J Control2014，，2： | 2 |
| 3 | Mechanisms and characteristics of mesocarbon microbeads prepared by co-carbonization of coal tar pitch and direct coal liquefaction residue显示文摘DCLR-P was prepared by direct coal liquefaction residue (DCLR) with ash removal.In the present experiments,mesocarbon microbeads (MCMBs) were prepared by co-carbonization of coal tar pitch (CTP) and DCLR-P.With the increase of DCLR-P content,the yield of MCMBs increased from 47.8% to 56.8%.At the same time,the particle sizes distribution of MCMBs was narrowed,resulting in the decrease of D9o/D10 ratio from 154.88 to 6.53.The results showed that DCLR-P had a positive effect on the preparation of MCMBs.1H-NMR,FTIR,SEM and XRD were used to analyze the mechanisms and characteristics of MCMBs prepared by co-carbonization of CTP and DCLR-P.The results showed that the Proton Donor Quality Index (PDQI) of DCLR-P was 13.32,significantly higher than that of CTP (0.83).This indicated that DCLR-P had more naphthenic structure than CTP,which leads to hydrogen transferring in polycondensation reaction.The aliphatic structure of DCLR-P can improve the solubility and fusibility of mesophase,thereby making the structure of MCMBs more structured.The microstructure of the graphitized MCMBs had a substantially parallel carbon layer useful for its electrical performance.The performance of graphitized MCMBs as a negative electrode material for Li-ion batteries was tested.The particle sizes,tap density,specific surface area and initial charge-discharge efficiency of graphitized MCMBs met the requirements of CMB-I in GB/T-24533-2009.However,the initial discharge capacity of graphitized MCMB was only 296.3 mA h g-1 due to the low degree of graphitization of MCMBs. | Bingfeng Yan Guangyao Wang | 2019 | International Journal of Coal Science & Technology2019，6，4： | 2 |
| 4 | Research on performance of regenerative room temperature magnetic refrigeration cycle 显示文摘 | Yu Bingfeng Zhang Yan Gao Qiang | 2006 | International Journal of Refrigeration2006，29，8： | 1 |
| 5 | Research on Performance of Regenerative Room Temperature Mag- netic Refrigeration Cycle 显示文摘 | Yu Bingfeng Zhang Yan Gao Qiang | 2006 | International Journal of Re- frigeration2006，29，： | 1 |
| 6 | Research on performance of regenerative room temperature magnetic refrigeration cycle 显示文摘 | Yu Bingfeng Zhang Yan Gao Qiang | 2006 | International Journal of Refrigeration2006，29，8： | 1 |
| 7 | Direct sampling on surfaces for high quality remeshing 显示文摘 | Fu Yan Zhou Bingfeng | 2009 | Computer Aided Geometric Design2009，26，6： | 1 |
| 8 | Thixotropic deformation behavior of semi-solid AZ61 magnesium alloy during compression process 显示文摘 | YAN Hong Zhou Bingfeng | 2006 | Materials Science and Engineering B2006，132，12： | 1 |
| 9 | Constitutive model of thixotropic plastic forming for semi-solid AZ61 magnesium alloy显示文摘 | YAN Hong Zhou Bingfeng | 2006 | Solid State Phenomena2006，1，： | 1 |
| 10 | Production of tetramethylpyrazine by batch culture of Bacillus subtilis with optimal pH control strategy显示文摘 | ZHU Bingfeng XU Yan | 2010 | Journal of Industrial Microbiology & Biotechnology2010，37，8： | 1 |
| 11 | A feeding strategy for tetramethylpyrazine production by Bacillus subtilis based on the stimulating effect of ammonium phosphate显示文摘 | ZHU Bingfeng XU Yan | 2010 | Bioprocess and Biosystems Engineering2010，33，8： | 1 |
| 12 | 基于排污许可量等额分配的淮安市清安河氨氮污染防治研究显示文摘通过多年环境监测资料分析,淮安市清安河水质污染主要因子为氨氮。通过现场调查和科学计算,弄清了污水处理厂、生活污染源、工业污染源、农业污染源氨氮入河情况。针对责任主体明确的排放口和排污单位,采用污染排放与水质响应关系等综合考虑现状排污格局、污染源可控性和经济技术可行性等因素,统筹兼顾公平与效率,将允许排放量等比例逐一分配至各排污单位,拟定许可排放量,进行污染控制。 | 朱群 Shu Wei Yu Ximeng Li Bingfeng Zhang Yan Kong Hongtao | 2018 | 环境研究与监测2018，31，4： | 0 |
| 13 | Enhancement of CAR-T cell activity against cholangiocarcinoma by simultaneous knockdown of six inhibitory membrane proteins显示文摘Background:Existing treatments for cholangiocarcinoma have poor efficacy.However,chimeric antigen receptor-T(CAR-T)cells are emerging as a potential therapeutic strategy.Solid tumors possess multiple adverse factors in an immunosuppressive microenvironment that impair CAR-T cell infiltration and function.This study aimed to improve the function of CAR-T cells through knock down immune checkpoints and immunosuppressive molecular receptors.Methods:We evaluated the expression of epidermal growth factor receptor(EGFR)and B7 homolog 3 protein(B7H3)antigens in cholangiocarcinoma tissues using immunohistochemistry and screened specific immune checkpoints in the cholangiocarcinoma microenvironment via flow cytometry.Subsequently,we engineered CAR-T cells targeting EGFR and B7H3 antigens.We simultaneously knocked down immune checkpoints and immunosuppressive molecular receptors in CAR-T cells by constructing two clusters of small hairpin RNAs and evaluated the engineered CAR-T cells for antitumor activity both in vitro,using tumor cell lines and cholangiocarcinoma organoid models,and in vivo,using humanized mouse models.Results:We observed high expression of EGFR and B7H3 antigens in cholangiocarcinoma tissues.EGFR-CAR-T and B7H3-CAR-T cells demonstrated specific anti-tumor activity.We found an abundance of programmed cell death protein 1(PD-1),T cell immunoglobulin and mucin domain-containing protein 3(Tim-3),and T cell immunoglobulin and ITIM domain(Tigit)on infiltrated CD8^(+)T cells in the cholangiocarcinoma microenvironment.We then decreased the expression of these 3 proteins on the surface of CAR-T cells,named PTG-scFV-CAR-T cells.Furthermore,we knocked-down the expression of transforming growth factor beta receptor(TGFβR),interleukin-10 receptor(IL-10R),and interleukin-6 receptor(IL-6R)of PTG-scFV-CAR-T cells.Those cells,named PTG-T16R-scFVCAR-T cells,potently killed tumor cells in vitro and promoted apoptosis of tumor cells in a cholangiocarcinoma organoidmodel.Finally,the PTG-T16R-scFv-CART cells showed greater inhibitory effect on tumor growth in vivo,and were superior in prolonging the survival of mice.Conclusions:Our results revealed that PTG-T16R-scFV-CAR-T cells with knockdown of sextuplet inhibitory molecules exhibited strong immunity against cholangiocarcinoma and long-term efficacy both in vitro and in vivo.This strategy provides an effective and personalized immune cell therapy against cholangiocarcinoma. | Yidan Qiao Jie Chen Xuemei Wang Shumei Yan Jizhou Tan Baijin Xia Yongjian Chen Keming Lin Fan Zou Bingfeng Liu Xin He Yiwen Zhang Xu Zhang Hui Zhang Xiangyuan Wu Lijuan Lu | 2023 | Cancer Communications2023，43，7： | 0 |
| 14 | Degradation prediction of proton exchange membrane fuel cell stack using semi-empirical and data-driven methods显示文摘Degradation prediction of proton exchange membrane fuel cell(PEMFC)stack is of great significance for improving the rest useful life.In this study,a PEMFC system including a stack of 300 cells and subsystems has been tested under semi-steady operations for about 931 h.Then,two different models are respectively established based on semi-empirical method and data-driven method to investigate the degradation of stack performance.It is found that the root mean square error(RMSE)of the semi-empirical model in predicting the stack voltage is around 1.0 V,while the predicted voltage has no local dynamic characteristics,which can only reflect the overall degradation trend of stack performance.The RMSE of short-term voltage degradation predicted by the DDM can be less than 1.0 V,and the predicted voltage has accurate local variation characteristics.However,for the long-term prediction,the error will accumulate with the iterations and the deviation of the predicted voltage begins to fluctuate gradually,and the RMSE for the long-term predictions can increase to 1.63 V.Based on the above characteristics of the two models,a hybrid prediction model is further developed.The prediction results of the semi-empirical model are used to modify the input of the data-driven model,which can effectively improve the oscillation of prediction results of the data-driven model during the long-term degradation.It is found that the hybrid model has good error distribution(RSEM=0.8144 V,R2=0.8258)and local performance dynamic characteristics which can be used to predict the process of long-term stack performance degradation. | Yupeng Wang Kangcheng Wu Honghui Zhao Jincheng Li Xia Sheng Yan Yin Qing Du Bingfeng Zu Linghai Han Kui Jiao | 2023 | Energy and AI2023，11，1： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员