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3D多孔FeC2O4/石墨烯电极用于高性能25 V水系非对称超级电容器(英文) 被引量:2
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作者 刘伟帅 宋雨晴 +2 位作者 汪珩 王宏飞 闫立峰 《Chinese Journal of Chemical Physics》 SCIE CAS CSCD 2018年第5期707-716,736,共11页
本文制备的三维多孔结构FeC2O4/石墨烯复合材料,在不添加粘结剂时可作为超级电容器电极.复合材料由大孔石墨烯和微介孔FeC2O4组成.通常,水分解电压为1.23V,对于以水系为电解液的不对称超级电容器,电压窗口限制为2V.当以FeC2O4/rGO水凝... 本文制备的三维多孔结构FeC2O4/石墨烯复合材料,在不添加粘结剂时可作为超级电容器电极.复合材料由大孔石墨烯和微介孔FeC2O4组成.通常,水分解电压为1.23V,对于以水系为电解液的不对称超级电容器,电压窗口限制为2V.当以FeC2O4/rGO水凝胶作为负极,以纯rGO水凝胶作为正极时,在KOH(1.0mol/L)电解质中不对称超级电容器电压窗为1.7V,在中性Na2SO4(1.0mol/L)电解质中可达到2.5V,相应地,组装的非对称电容器性能优异,能量密度为59.7Wh/kg.通过将具有微介孔结构的金属氧化物与石墨烯相结合,制备在不添加导电剂和粘合剂时直接用于组装不对称超级电容器的电极材料. 展开更多
关键词 非对称超级电容器 高电压窗口 3D微孔介孔结构 FeC2O4/rGO水凝胶
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Chalcone derivatives as novel,potent and selective inhibitors against human Notum:Structure–activity relationships and biological evaluations
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作者 Jin-Hui Shi Bei Zhao +7 位作者 Li-Lin song yu-qing song Meng-Ru Sun Tian Tian Hong-Yu Chen Yun-Qing song Jian-Ming Sun Guang-Bo Ge 《Chinese Chemical Letters》 SCIE CAS CSCD 2024年第3期321-325,共5页
Human Notum(hNotum)inhibitors could be used for treating Wnt signalling-associated diseases including colorectal cancer.Herein,two series of chalcone derivatives were designed and synthesized aiming to find selective ... Human Notum(hNotum)inhibitors could be used for treating Wnt signalling-associated diseases including colorectal cancer.Herein,two series of chalcone derivatives were designed and synthesized aiming to find selective and potent hNotum inhibitors.Structure–activity relationship(SAR)studies showed that 2-methoxyl and 5-bromine substitutions on A-ring significantly enhanced anti-hNotum effect,while 4’-ethoxyl and 3’-alkyl substitutions on B-ring were beneficial for hNotum inhibition.Among all tested chalcones,B11 displayed the most potent anti-Notum effect(IC_(50)=3.6 nmol/L),good selectivity,excellent chemical stability and suitable metabolic stability.Further investigations showed that B11 acted as a competitive inhibitor of hNotum,while this agent(5μmol/L)significantly weaken the migration abilities of colorectal cancer cells.Collectively,this study deciphers the SARs of chalcones as hNotum inhibitors and reports a novel and potent hNotum inhibitor with the anti-migration effect on colorectal cancer cells,which offers a promising lead compound to develop novel anti-cancer agents. 展开更多
关键词 Human notum(hNotum) CHALCONE Computer-assisted drug discovery Structure–activity relationship(SAR) Anti-colorectal cancer agent
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Texture Feature Extraction from Thyroid MR Imaging Using High-Order Derived Mean CLBP 被引量:1
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作者 Zhe Liu Cheng-Jian Qiu +3 位作者 yu-qing song Xiao-Hong Liu Juan Wang Victor S.Sheng 《Journal of Computer Science & Technology》 SCIE EI CSCD 2019年第1期35-46,共12页
In the field of medical imaging,the traditional local binary pattern (LBP)and its improved algorithms are often sensitive to noise.Traditional LBPs are solely based on the signal information from local differences,and... In the field of medical imaging,the traditional local binary pattern (LBP)and its improved algorithms are often sensitive to noise.Traditional LBPs are solely based on the signal information from local differences,and the binary quantization method oversimplifies the local texture features while disregarding the imaging information from the concaveconvex regions between the high-order pixels and the neighboring sampling points.Therefore,we propose an improved Derived Mean Complete Local Binary Pattern (DM_CLBP) algorithm based on high-order derivatives.In the DM_CLBP method,the grey value of a single pixel is replaced by the mean grey value of the rectangular area block,and the difference between pixel values in the area is obtained using the second-order differentiation method.Based on the calculation concept of the complete local binary pattern (CLBP)algorithm,the cascade signs and magnitudes of the two components are encoded and recombined in DM_CLBP using a uniform pattern.The results from the experiments showed that the proposed DM_CLBP descriptors achieved a classification accuracy of 94.4%.Compared with LBP and other improved algorithms,the DM_CLBP algorithm presented in this study can effectively differentiate between lesion areas and normal areas in thyroid MR,(magnetic resonance)images and shows the improved accuracy of area classification. 展开更多
关键词 THYROID magnetic resonance imaging (MRI) LOCAL BINARY PATTERN texture feature complete LOCAL BINARY PATTERN (CLBP)
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