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4篇 您的检索式:作者名="Weizhen Fang"
    题名 作者 年代 出处 被引量
1One-step generation of p53 gene biallelic mutant Cynomolgus monkey via the CRISPR/Cas system显示文摘Haifeng Wan Chunjing Feng Fei Teng Shihua Yang Baoyang Hu Yuyu Niu Andy Peng Xiang Weizhen Fang Weizhi Ji Wei Li Xiaoyang Zhao Qi Zhou 2015Cell Research2015,25,2:39
2Grey Correlation Method in the Decision of Bridge Design Plans显示文摘HAO ZHAN CHEN WEIZHEN FANG QINHAN 2009Kybemetes2009,38,10:1
3Base-free oxidative esterification of 5-hydroxymethylfurfural to furan-2,5-dimethylcarboxylate over n-doped carbon-supported Co/Fe bimetallic catalyst under batch-operation or continuous-flow conditions显示文摘Developing an efficient and easily available catalyst for the selective conversion of biomass-derived 5-hydroxymethylfurfural(HMF)into furan-2,5-dimethylcarboxylate(FDMC),a valuable biomass-based monomer,remains a high demand but formidable challenge.Herein,a facile strategy for the synthesis of N-doped carbon-supported Co/Fe bimetallic catalyst(CoFe-NC)was developed,which provided an outstanding FDMC yield of 93%in a batch reactor(base-free,80℃,2 bar O_(2),4 h).Interestingly,CoFe-NC also gave a high FDMC yield of 91%under continuous-flow conditions for 80 h(5 bar O_(2),80℃,GHSV 1320 h^(-1),LHSV 0.6 h^(-1),base-free).Notably,it is the first time that a non-noble catalyst gave such a high FDMC yield under continuous-flow conditions.The introduction of Fe could greatly improve both the electron intensity of Co-N_(x)species and basicity of the catalyst,which endowed CoFe-NC with improved O_(2)activation capacity and enhanced dehydrogenation activity for the oxidation-esterification of HMF.This work delineates the efficient strategy on the construction of N-doped carbon-supported non-noble catalyst,which might open a new avenue for developing highly efficient catalyst for FDMC production.Weizhen Xie Binglin Chen Wenlong Jia Huai Liu Zheng Li Shuliang Yang Xing Tang Xianhai Zeng Yong Sun Xixian Ke Tianyuan Li Huayu Fang Lu Lin 2022Journal of Energy Chemistry2022,,12:1
4Application of Neural Networks in Early Warning Systems for Coronary Heart Disease显示文摘This paper presents a BP neural network-based algorithm for the iden-tification of coronary heart disease through the clinical data of cardiology for many years and the personal physiological attributes easily obtained in daily life.The goal of this paper is to judge whether it may have coronary heart disease by testing the attribute values of the tester.First,through the training of samples,the net-work model structure is designed,and a relatively good neural network model is obtained.Second,according to the model,the possibility of coronary heart disease was calculated.Yanhui Fang Wei Fang Weizhen Yang 2023国际计算机前沿大会会议论文集2023,,2:0
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