http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Jia-Huan Shang,Wen-Jie Sun,Hong-Tao Zhu,Dong Wang,Chong-Ren Yang,Ying-Jun Zhang 고려인삼학회 2020 Journal of Ginseng Research Vol.44 No.3
Background: Root rot is a serious destructive disease of Panax notoginseng, a famous cultivated araliaceousherb called Sanqi or Tianqi in Southwest China. Methods: The chemical substances of Sanqi rot roots were explored by chromatographic techniques. MS,1D/2D-NMR, and single crystal X-ray diffraction were applied to determine the structures. Murinemacrophage RAW264.7 and five human cancer cell lines were used separately for evaluating the antiinflammatoryand cytotoxic activities. Results and Conclusion: Thirty dammarane-type triterpenes and saponins were isolated from the rot rootsof P. notoginseng. Among them, seven triterpenes, namely, 20(S)-dammar-25-ene-24(S)-hydroperoxyl-3b,6a,12b,20-tetrol (1), 20(S)-dammar-3-oxo-23-ene-25-hydroperoxyl-6a,12b,20-triol (2), 20(S)-dammar-12-oxo-23-ene-25-hydroperoxyl-3b,6a,20-triol (3), 20(S)-dammar-3-oxo-23-ene-25-hydroperoxyl-12b,20-diol (4), 20(S),24(R)-epoxy-3,4-seco-dammar-25-hydroxy-12-one-3-oic acid (5), 20(S),24(R)-epoxy-3,4-seco-dammar-25-hydroxy-12-one-3-oic acid methyl ester (6), and 6a-hydroxy-22,23,24,25,26,27-hexanordammar-3,12,20-trione (7), are new compounds. In addition, 12 known ones (12e16 and 19e25)were reported in Sanqi for the first time. The new Compound 1 showed comparable antiinflammatoryactivity on inhibition of NO production to the positive control, whereas the known compounds 9, 12, 13,and 16 displayed moderate cytotoxicities against five human cancer cell lines. The results will providescientific basis for understanding the chemical constituents of Sanqi rot roots and new candidates forsearching antiinflammatory and antitumor agents.
Shang, Jia-Huan,Sun, Wen-Jie,Zhu, Hong-Tao,Wang, Dong,Yang, Chong-Ren,Zhang, Ying-Jun The Korean Society of Ginseng 2020 Journal of Ginseng Research Vol.44 No.3
Background: Root rot is a serious destructive disease of Panax notoginseng, a famous cultivated araliaceous herb called Sanqi or Tianqi in Southwest China. Methods: The chemical substances of Sanqi rot roots were explored by chromatographic techniques. MS, 1D/2D-NMR, and single crystal X-ray diffraction were applied to determine the structures. Murine macrophage RAW264.7 and five human cancer cell lines were used separately for evaluating the antiinflammatory and cytotoxic activities. Results and Conclusion: Thirty dammarane-type triterpenes and saponins were isolated from the rot roots of P. notoginseng. Among them, seven triterpenes, namely, 20(S)-dammar-25-ene-24(S)-hydroperoxyl-3β,6α,12β,20-tetrol (1), 20(S)-dammar-3-oxo-23-ene-25-hydroperoxyl-6α,12β,20-triol (2), 20(S)-dammar-12-oxo-23-ene-25-hydroperoxyl-3β,6α,20-triol (3), 20(S)-dammar-3-oxo-23-ene-25-hydroperoxyl-12β,20-diol (4), 20(S),24(R)-epoxy-3,4-seco-dammar-25-hydroxy-12-one-3-oic acid (5), 20(S),24(R)-epoxy-3,4-seco-dammar-25-hydroxy-12-one-3-oic acid methyl ester (6), and 6α-hydroxy-22,23,24,25,26,27-hexanordammar-3,12,20-trione (7), are new compounds. In addition, 12 known ones (12-16 and 19-25) were reported in Sanqi for the first time. The new Compound 1 showed comparable antiinflammatory activity on inhibition of NO production to the positive control, whereas the known compounds 9, 12, 13, and 16 displayed moderate cytotoxicities against five human cancer cell lines. The results will provide scientific basis for understanding the chemical constituents of Sanqi rot roots and new candidates for searching antiinflammatory and antitumor agents.
A Data Cleaning Model for Electric Power Big Data Based on Spark Framework
Zhao-Yang Qu,Yong-Wen Wang,Chong Wang,Nan Qu,Jia Yan 보안공학연구지원센터 2016 International Journal of Database Theory and Appli Vol.9 No.3
The data cleaning of electrical power big data can improve the correctness, the completeness, the consistency and the reliability of the data. Aiming at the difficulties of the extracting of the unified anomaly detection pattern and the low accuracy and continuity of the anomaly data correction in the process of the electrical power big data cleaning, the data cleaning model of the electrical power big data based on Spark is proposed. Firstly, the normal clusters and the corresponding boundary samples are obtained by the improved CURE clustering algorithm. Then, the anomaly data identification algorithm based on boundary samples is designed. Finally, the anomaly data modification is realized by using exponential weighting moving mean value. The high efficiency and accuracy is proved by the experiment of the data cleaning of the wind power generation monitoring data from the wind power station.
Du, Wei,Ma, Xue-Lei,Zhao, Chong,Liu, Tao,Du, Yu-Liang,Kong, Wei-Qi,Wei, Ben-Ling,Yu, Jia-Yun,Li, Yan-Yan,Huang, Jing-Wen,Li, Zi-Kang,Liu, Lei Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.2
Background: MicroRNAs (miRNAs) are an abundant class of endogenous small non-coding RNAs of 20-25 nucleotides in length that function as negative gene regulators. MiRNAs play roles in most biological processes, as well as diverse human diseases including cancer. Recently, many studies investigated the association between SNPs in miR-146a rs2910164, miR-196a2 rs11614913, miR-149 rs229283, miR-499 rs3746444 and colorectal cancer (CRC), which results have been inconclusive. Methodology/Principal Findings: PubMed, EMBASE, CNKI databases were searched with the last search updated on November 5, 2013. For miR-196a2 rs11614913, a significantly decreased risk of CRC development was observed under three genetic models (dominant model: OR = 0.848, 95%CI: 0.735-0.979, P = 0.025; recessive model: OR = 0.838, 95%CI: 0.721-0.974, P = 0.021; homozygous model: OR = 0.754, 95%CI: 0.627-0.907, P = 0.003). In the subgroup analyses, miR-$196a2^*T$ variant was associated with a significantly decreased susceptibility of CRC (allele model: OR = 0.839, 95%CI: 0.749-0.940, P = 0.000; dominant model: OR = 0.770, 95%CI: 0.653-0.980, P = 0.002; recessive model: OR = 0.802, 95%CI: 0.685-0.939, P = 0.006; homozygous model: OR = 0.695, 95%CI: 0.570-0.847, P = 0.000). As for miR-149 rs2292832, the two genetic models (recessive model: OR = 1.199, 95% CI 1.028-1.398, P = 0.021; heterozygous model: OR = 1.226, 95% CI 1.039-1.447, P = 0.013) demonstrated increased susceptibility to CRC. On subgroup analysis, significantly increased susceptibility of CRC was found in the genetic models (recessive model: OR = 1.180, 95% CI 1.008-1.382, P = 0.040; heterozygous model: OR = 1.202, 95% CI 1.013-1.425, P = 0.013) in the Asian group. Conclusions: These findings supported that the miR-196a2 rs11614913 and miR-149 rs2292832 polymorphisms may contribute to susceptibility to CRC.