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Synthesis and Self-Assembly of Two 1,3-Alternate Thiacalix[4]arenes Derivatives Bearing Amide Groups
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作者 LI Yan GUO Rong +3 位作者 WANG Wei GONG Linbo CHEN Yuanyin GONG Shuling 《Wuhan University Journal of Natural Sciences》 CAS 2013年第4期300-306,共7页
Two 1,3-alternate thiacalix[4]arene derivatives bearing amide groups, 1,3-alternate p-tert-butylthiacalix[4]arene tetraamide (4), and 1,3-alternate p-H-thiacalix[4]arene tetraamide (6) were prepared, and their crystal... Two 1,3-alternate thiacalix[4]arene derivatives bearing amide groups, 1,3-alternate p-tert-butylthiacalix[4]arene tetraamide (4), and 1,3-alternate p-H-thiacalix[4]arene tetraamide (6) were prepared, and their crystal structures were determined by single-crystal X-ray diffraction method. The steric hindrances posed by tert-butyl groups play an important part in the synthesis and the self-assembly of the two compounds. Compound 6 was synthesized from the corresponding ester, which was obtained by the reaction of acid chloride with ammonia. In the crystal structure, compound 4 presents a highly symmetric molecular structure, while for compound 6, because of absence of tert-butyl groups, it presents a more flexible molecular structure. 展开更多
关键词 CALIXARENES SELF-ASSEMBLY tert-butyl groups amide groups compound 1 3-alternate arene activity of ester group
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A Comprehensive Review of Group Activity Recognition in Videos 被引量:1
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作者 Li-Fang Wu Qi Wang +2 位作者 Meng Jian Yu Qiao Bo-Xuan Zhao 《International Journal of Automation and computing》 EI CSCD 2021年第3期334-350,共17页
Human group activity recognition(GAR)has attracted significant attention from computer vision researchers due to its wide practical applications in security surveillance,social role understanding and sports video anal... Human group activity recognition(GAR)has attracted significant attention from computer vision researchers due to its wide practical applications in security surveillance,social role understanding and sports video analysis.In this paper,we give a comprehensive overview of the advances in group activity recognition in videos during the past 20 years.First,we provide a summary and comparison of 11 GAR video datasets in this field.Second,we survey the group activity recognition methods,including those based on handcrafted features and those based on deep learning networks.For better understanding of the pros and cons of these methods,we compare various models from the past to the present.Finally,we outline several challenging issues and possible directions for future research.From this comprehensive literature review,readers can obtain an overview of progress in group activity recognition for future studies. 展开更多
关键词 Group activity recognition(GAR) human activity recognition scene understanding video analysis computer vision
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