Volatile organic compound(VOC)pollution has a serious impact on human and urgently needs to be controlled through the development of new methods and catalytic materials.Compared with traditional thermal catalytic oxid...Volatile organic compound(VOC)pollution has a serious impact on human and urgently needs to be controlled through the development of new methods and catalytic materials.Compared with traditional thermal catalytic oxidation,the synergistic photothermocatalysis is regarded as a green and environmen-tally friendly strategy for organic compound pollutant removal,which can promote spontaneous heating of the surface of catalysts to achieve thermal catalytic reaction conditions via harvesting light irradia-tion.In this paper,a monolithic photothermocatalyst was synthesized through coating graphene oxide(GO)and MnOx in turn on a commercially available melamine sponge,where the GO mainly acted as a photothermal conversion layer to heat the catalytically active MnO_(x).This monolithic catalyst presented excellent photo-induced activity for formaldehyde elimination under ambient conditions(∼90%degrada-tion ratio in 20 min for∼160 ppm initial concentration formaldehyde),and meanwhile possessed a high catalytic durability for multiple cycles.The kinetic study demonstrated that this photothermocatalytic process followed a pseudo-second-order kinetics.Finally,we proposed a possible formaldehyde degrada-tion pathway based on in situ DRIFTS examination.展开更多
Users＇ behavior analysis has become one of the most important research topics, especially in terms of performance optimization, architecture analysis, and system maintenance, due to the rapid growth of search engine ...Users＇ behavior analysis has become one of the most important research topics, especially in terms of performance optimization, architecture analysis, and system maintenance, due to the rapid growth of search engine users. By adequately performing analysis on log data, researchers and Internet companies can get guidance to better search engines. In this paper, we perform our analysis based on approximately 750million entries of search requests obtained from log of a real commercial search engine. Several aspects of users＇ behavior are studied, including query length, ratio of query refining, recommendation access, and so on. Different information needs may lead to different behaviors, and we address this discussion in this paper. We firmly believe that these analyses would be helpful with respect of improving both effectiveness and efficiency of search engines.展开更多
基金financially supported from the National Key Re-search and Development Program of China(No.2017YFE0127400)the Natural Science Founding of China(No.51908491)+1 种基金the Zhejiang Provincial Natural Science Foundation of China(No.LY20B070001)Science Fund of Zhejiang Sci-Tech University(No.21062255-Y).
文摘Volatile organic compound(VOC)pollution has a serious impact on human and urgently needs to be controlled through the development of new methods and catalytic materials.Compared with traditional thermal catalytic oxidation,the synergistic photothermocatalysis is regarded as a green and environmen-tally friendly strategy for organic compound pollutant removal,which can promote spontaneous heating of the surface of catalysts to achieve thermal catalytic reaction conditions via harvesting light irradia-tion.In this paper,a monolithic photothermocatalyst was synthesized through coating graphene oxide(GO)and MnOx in turn on a commercially available melamine sponge,where the GO mainly acted as a photothermal conversion layer to heat the catalytically active MnO_(x).This monolithic catalyst presented excellent photo-induced activity for formaldehyde elimination under ambient conditions(∼90%degrada-tion ratio in 20 min for∼160 ppm initial concentration formaldehyde),and meanwhile possessed a high catalytic durability for multiple cycles.The kinetic study demonstrated that this photothermocatalytic process followed a pseudo-second-order kinetics.Finally,we proposed a possible formaldehyde degrada-tion pathway based on in situ DRIFTS examination.
文摘Users＇ behavior analysis has become one of the most important research topics, especially in terms of performance optimization, architecture analysis, and system maintenance, due to the rapid growth of search engine users. By adequately performing analysis on log data, researchers and Internet companies can get guidance to better search engines. In this paper, we perform our analysis based on approximately 750million entries of search requests obtained from log of a real commercial search engine. Several aspects of users＇ behavior are studied, including query length, ratio of query refining, recommendation access, and so on. Different information needs may lead to different behaviors, and we address this discussion in this paper. We firmly believe that these analyses would be helpful with respect of improving both effectiveness and efficiency of search engines.
