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Monitoring correlative financial data streams by local pattern similarity
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作者 Tao JIANG Yu-cai FENG +3 位作者 Bin ZHANG Zhong-sheng CAO ge fu Jie SHI 《Journal of Zhejiang University-Science A(Applied Physics & Engineering)》 SCIE EI CAS CSCD 2009年第7期937-951,共15页
Developing tools for monitoring the correlations among thousands of financial data streams in an online fashion can be interesting and useful work. We aimed to find highly correlative financial data streams in local p... Developing tools for monitoring the correlations among thousands of financial data streams in an online fashion can be interesting and useful work. We aimed to find highly correlative financial data streams in local patterns. A novel distance metric function slope duration distance (SDD) is proposed, which is compatible with the characteristics of actual financial data streams. Moreover, a model monitoring correlations among local patterns (MCALP) is presented, which dramatically decreases the computational cost using an algorithm quickly online segmenting and pruning (QONSP) with O(1) time cost at each time tick t, and our proposed new grid structure. Experimental results showed that MCALP provides an improvement of several orders of magnitude in performance relative to traditional naive linear scan techniques and maintains high precision. Furthermore, the model is incremental, parallelizable, and has a quick response time. 展开更多
关键词 Data mining Model Data streams Correlation Local pattern Pattern similarity
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Synthesis of a series of novel homo-and hetero-glycoclusters and their binding activities to DC-SIGN
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作者 Xueni Cai ge fu +4 位作者 Martin Lepsik Emanuele Paci Yuan Guo Zhongjun Li Qing Li 《Journal of Chinese Pharmaceutical Sciences》 CAS CSCD 2021年第11期859-873,共15页
As a dendritic cell-specific C-type lectin receptor, DC-SIGN plays an important role in the early stages of many viral infections, including HIV and Ebola, making it an interesting therapeutic target. It has been foun... As a dendritic cell-specific C-type lectin receptor, DC-SIGN plays an important role in the early stages of many viral infections, including HIV and Ebola, making it an interesting therapeutic target. It has been found that DC-SIGN can recognize both highly mannosylated and branched fucosylated oligosaccharides. Herein, we synthesized a new series of homo-and Man-Fuc heteroglycoclusters with diverse structures. The binding properties of these compounds to tetrameric extracellular DC-SIGN were assessed by surface plasmon resonance(SPR). Heteroglycocluster 17 b showed high DC-SIGN-binding activity(K;= 2.6 μM). The structural determinants of this high affinity of 17 b were rationalized by docking and compared with its much less potent isomer 17 a. Therefore, 17 b might serve as a base for the development of potent inhibitors of DC-SIGN-dependent viral infection. 展开更多
关键词 Synthesis Heteroglycoclusters DC-SIGN Binging-activity DOCKING
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