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| 1 | Electricity generation from food wastes and microbial community structure in microbial fuel cells显示文摘 | Jianna Jia Yu Tang Bingfeng Liu Di Wu Nanqi Ren Defeng Xing | 2013 | Bioresource Technology2013，，： | 1 |
| 2 | A chip-level electrothermal-coupled design model for high-power light- emitting diodes 显示文摘 | Shanjin Huang Hao Wu Bingfeng Fan | 2010 | Journal of Applied Physics2010，107，054509： | 1 |
| 3 | Thermal study of high-power nitride-based flip-chip light-emitting diodes 显示文摘 | Bingfeng Fan Hao Wu Yu Zhao | 2008 | IEEE Transactions on Electron Devices2008，55，12： | 1 |
| 4 | Ferric iron enhances electricity generation by Shewanella oneidensis MR-1 in MFCs显示文摘 | Di Wu Defeng Xing Lu Lu Ma Wei Bingfeng Liu Nanqi Ren | 2012 | Bioresource Technology2012，，： | 1 |
| 5 | Study of phosphor thermal isolated packaging technolosies for hish-power white Light Emitting Diodes显示文摘 | Bingfeng Fan Heo Wu Yu Zhao | 2007 | IEEE Photonics Technology Letters2007，19，15： | 1 |
| 6 | Effects of Added HY Zeolite on the Catalytic Behavior of Pt/OMC-HY in the Hydrogenation of Naphthalene显示文摘In this work,HY zeolites were embedded in the ordered mesoporous carbon(OMC)to prepare a support for a noble metal catalyst Pt/OMC-HY,and the hydrogenation of naphthalene to decalin was carried out over the catalyst.The results showed that Pt/OMC-HY-0.14(in which the mass ratio of HY to phenolic resin oligomer is 0.14)possessed much better catalyst performance than Pt/OMC,which was related to its proper surface acidity,hierarchical pore structure,metal dispersion,and the interaction between metal and support.Furthermore,Pt/OMC-HY-0.14 had better sulfur tolerance than Pt/OMC.In addition,the sulfur tolerance mechanism of Pt/OMC-HY-0.14 was studied,which revealed that the competitive adsorption of DBT on the metal sites with aromatics was the main reason for catalyst deactivation,and the improvement of sulfur tolerance could be achieved by the aid of the acidity of HY zeolite.Based on the acidity,the hydrogenation of DBT can be promoted obviously,and consequently the competitive adsorption of DBT on the metal sites can be reduced. | Wu Bingfeng Yang Lina Li Jian Yang Xiaorong Huang Yifeng Bai Jin | 2019 | China Petroleum Processing & Petrochemical Technology2019，21，3： | 0 |
| 7 | Evaluation Model Construction of Peak Sweet Processing Suitability of Different Varieties of Chestnut显示文摘[Objective]The aims was to construct peak sweet processing suitability evaluation model and determine the suitable varieties of peak sweet processing in chestnut.[Method]'Zaofeng','Yan Long'etc.15 chestnut varieties in Yan Shan area were taken as research objects and investigated the sensory,physicochemical nutrition and processing indexes.The correlation analysis,principal component analysis and cluster analysis were adopted to simplify and calculate the evaluation index,and set up the mathematical model.[Result]Obvious differences in different varieties of raw materials and products of each index and some indicators existed significant correlation relationship;principal component analysis determined the five principal components:hardness,b value,moisture content,total sugar,browning degree and edible rate or the core indicators of quality evaluation in peak sweet chestnut,and the establishment of products comprehensive value scoring model:Y=0.033 509 hardness+0.033 509b value+0.185 173 moisture content+0.208 983 total sugar+0.108 499 browning degree+0.430 327 ratio of feed,peak sweet chestnut quality and raw material associated model:Y=-1.109+0.015 ratio of good fruit-0.018 kernel hardness+0.008 starch.[Conclusion]Peak sweet chestnut processing suitability evaluation model can provide the basis for chestnut processing and the suitable processing of the chestnut breeding;'Yanguang','Yan Long','Yankui',are very suitable,and'Zibo','Yan Ping'are more appropriate for peak sweet processing. | Haoning GUO Yuhua ZHAO Xuedong CHANG Bingfeng YANG Zanyi WU | 2016 | Agricultural Science & Technology2016，17，9： | 0 |
| 8 | 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 |
| 9 | 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 |
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