We report a hydrogen-evolution dimerization of styrenes via the synergistic merger of Acr＋-Mes photocatalyst and cobaloxime proton reduction catalysts. By utilizing this dual catalyst system, 1,2-dihydro-1-arylnaphth...We report a hydrogen-evolution dimerization of styrenes via the synergistic merger of Acr＋-Mes photocatalyst and cobaloxime proton reduction catalysts. By utilizing this dual catalyst system, 1,2-dihydro-1-arylnaphthalene derivatives can be directly constructed from commercially available styrenes. Our reaction proceeds smoothly under mild conditions without the need for oxidants or hydrogen atom transfer reagents, and the sole byproduct is hydrogen gas. Mechanistic investigation suggests that the reaction is initiated by photoinduced electron transfer under visible-light irradiation.展开更多
提出一种用于哼唱识别精确匹配的线性伸缩动态规划算法。该算法将哼唱旋律切割成句子,对每一句子进行线性伸缩匹配,同时在句子层次进行动态规划获得最优路径。该算法更有效地利用了哼唱语音的分段特性并克服了动态规划在长路径搜索时可...提出一种用于哼唱识别精确匹配的线性伸缩动态规划算法。该算法将哼唱旋律切割成句子,对每一句子进行线性伸缩匹配,同时在句子层次进行动态规划获得最优路径。该算法更有效地利用了哼唱语音的分段特性并克服了动态规划在长路径搜索时可能丢失全局最优路径的缺点。在含5 223首M ID I的数据库上同等条件下该算法正确率分别比线性伸缩、动态规划及递归匹配方法提高10.5%、6.0%和2.8%。该算法具有更高的准确率和更小的时间复杂度,是一种更有效的精确匹配算法。展开更多
基金supported by the Ministry of Science and Technology of China (2014CB239402, 2017YFA0206903)the National Natural Science foundation of China (21390404)+1 种基金the Strategic Priority Research Program of the Chinese Academy of Science (XDB17000000)the Key Research Pro-gram of Frontier Sciences, the Chinese Academy of Sciences (QYZDY-SSW-JSC029)~~
文摘We report a hydrogen-evolution dimerization of styrenes via the synergistic merger of Acr＋-Mes photocatalyst and cobaloxime proton reduction catalysts. By utilizing this dual catalyst system, 1,2-dihydro-1-arylnaphthalene derivatives can be directly constructed from commercially available styrenes. Our reaction proceeds smoothly under mild conditions without the need for oxidants or hydrogen atom transfer reagents, and the sole byproduct is hydrogen gas. Mechanistic investigation suggests that the reaction is initiated by photoinduced electron transfer under visible-light irradiation.
文摘提出一种用于哼唱识别精确匹配的线性伸缩动态规划算法。该算法将哼唱旋律切割成句子,对每一句子进行线性伸缩匹配,同时在句子层次进行动态规划获得最优路径。该算法更有效地利用了哼唱语音的分段特性并克服了动态规划在长路径搜索时可能丢失全局最优路径的缺点。在含5 223首M ID I的数据库上同等条件下该算法正确率分别比线性伸缩、动态规划及递归匹配方法提高10.5%、6.0%和2.8%。该算法具有更高的准确率和更小的时间复杂度,是一种更有效的精确匹配算法。
