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您的检索式：作者名="LYU Yanxia"
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| 1 | Enantioseparation by HPLC Using an Inorganic Chiral Mesoporous Silica with Highly-ordered Structure显示文摘Highly-ordered inorganic chiral mesoporous silica(HOCMS)has attracted substantial interest in recent decades.High performance liquid chromatography(HPLC)is the most important approach for the separation of enantiomers and herein reported an HPLC chiral stationary phase composed of HOCMS.The column was fabricated by conventional high pressure slurry packing.Eighteen racemates,including alcohols,ketones,amines,aldehydes and organic acids,were resolved on the column.Good chiral separations of hydrobenzoin,metoprolol,propranolol hydrochloride,4-methyl-2-pentanol,omeprazole,2,2′-furoin and ketoprofen were obtained.The relative standard devi-ations for five replicate separations of racemates were 0.1%–0.16%for retention time and 1.73%–2.64%for peak areas.The results suggest that HOCMS is a promising candidate for preparation of chiral stationary phases for HPLC. | PENG Bo FU Shiguo LI Yanxia ZHANG Junhui XIE Shengming LI Li LYU Yun DU AN Aihong CHEN Xuexian YUAN Liming | 2019 | Chemical Research in Chinese Universities2019，35，6： | 1 |
| 2 | RMHSForest:Relative Mass and Half-Space Tree Based Forest for Anomaly Detection显示文摘Anomaly detection refers to identify the true anomalies from a given data set.We present an ensemble anomaly detection method called Relative mass and half-space tree based forest(RMHSForest),which detect anomalies,including global and local anomalies,based on relative mass estimation and halfspace tree.Different from density or distance based measure,RMHSForest utilizes a novel relative mass estimation to improve the detection of local anomaly.Meanwhile,half-space tree based on augmented mass can estimate a mass distribution efficiently without density or distance calculations or clustering.Our empirical results show that RMHSForest outperforms the current popular anomaly detection algorithms in terms of AUC and processing time in the test data sets. | LYU Yanxia LI Wenjie WANG Yue SUN Siqi WANG Cuirong | 2020 | Chinese Journal of Electronics2020，29，6： | 1 |
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