The present study was designed to characterize the chemical constituents of Guge Fengtong Tablet(GGFTT).Based on the chromatographic retention behavior,fragmentation pathways of chemical components and the published l...The present study was designed to characterize the chemical constituents of Guge Fengtong Tablet(GGFTT).Based on the chromatographic retention behavior,fragmentation pathways of chemical components and the published literatures,a diagnostic ion filtering strategy with electrospray ionization quadrupole time-of-flight tandem mass spectrometry(HPLC-ESI-Q-TOF/MS) was established to identify the multiple bioactive constituents of GGFTT.The rapid identification of forty-seven components,including 18 phenolic acids,8 saponins,14 gingerol-related compounds,and 7 diarylhepatonoids,was accomplished using this newly developed method.The coupling of HPLC-ESI-Q-TOF/MS with the diagnostic ion filtering strategy was useful and efficient for the in-depth structural elucidation of chemical compounds of GGFTT.展开更多
The skyline-join operator, as an important variant of skylines, plays an important role in multi-criteria decision making problems. However, as the data scale increases, previous methods of skyline-join queries cannot...The skyline-join operator, as an important variant of skylines, plays an important role in multi-criteria decision making problems. However, as the data scale increases, previous methods of skyline-join queries cannot be applied to new applications. Therefore, in this paper, it is the first attempt to propose a scalable method to process skyline-join queries in distributed databases. First, a tailored distributed framework is presented to facilitate the computation of skyline-join queries. Second, the distributed skyline-join query algorithm （DSJQ） is designed to process skyline-join queries. DSJQ contains two phases. In the first phase, two filtering strategies are used to filter out unpromising tuples from the original tables. The remaining tuples are transmitted to the corresponding data nodes according a partition function, which can guarantee that the tuples with the same join value are transferred to the same node. In the second phase, we design a scheduling plan based on rotations to calculate the final skyline-join result. The scheduling plan can ensure that calculations are equally assigned to all the data nodes, and the calculations on each data node can be processed in parallel without creating a bottleneck node. Finally, the effectiveness of DSJQ is evaluated through a series of experiments.展开更多
基金supported by a project of the National Science&Technology Pillar Program during the Twelfth Five-year Plan Period(No.2012BAI29B07)the National Natural Science Foundation of China(No.81202898)
文摘The present study was designed to characterize the chemical constituents of Guge Fengtong Tablet(GGFTT).Based on the chromatographic retention behavior,fragmentation pathways of chemical components and the published literatures,a diagnostic ion filtering strategy with electrospray ionization quadrupole time-of-flight tandem mass spectrometry(HPLC-ESI-Q-TOF/MS) was established to identify the multiple bioactive constituents of GGFTT.The rapid identification of forty-seven components,including 18 phenolic acids,8 saponins,14 gingerol-related compounds,and 7 diarylhepatonoids,was accomplished using this newly developed method.The coupling of HPLC-ESI-Q-TOF/MS with the diagnostic ion filtering strategy was useful and efficient for the in-depth structural elucidation of chemical compounds of GGFTT.
文摘The skyline-join operator, as an important variant of skylines, plays an important role in multi-criteria decision making problems. However, as the data scale increases, previous methods of skyline-join queries cannot be applied to new applications. Therefore, in this paper, it is the first attempt to propose a scalable method to process skyline-join queries in distributed databases. First, a tailored distributed framework is presented to facilitate the computation of skyline-join queries. Second, the distributed skyline-join query algorithm （DSJQ） is designed to process skyline-join queries. DSJQ contains two phases. In the first phase, two filtering strategies are used to filter out unpromising tuples from the original tables. The remaining tuples are transmitted to the corresponding data nodes according a partition function, which can guarantee that the tuples with the same join value are transferred to the same node. In the second phase, we design a scheduling plan based on rotations to calculate the final skyline-join result. The scheduling plan can ensure that calculations are equally assigned to all the data nodes, and the calculations on each data node can be processed in parallel without creating a bottleneck node. Finally, the effectiveness of DSJQ is evaluated through a series of experiments.
