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43 results on '"Liang, Haiping"'

14. Fault Classification of Outage Transmission Lines Based on RBF-SVM and BP Neural Networks

Author

Liu, Yingpei, Wang, Xiangyu, Zhang, Feifei, Gao, Jianxiang, Su, Yujing, Zhang, Xuewei, Liang, Haiping, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Hung, Jason C., editor, Yen, Neil Y., editor, and Chang, Jia-Wei, editor

Published
2022
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18. Safety of daratumumab in the real-world: a pharmacovigilance study based on FAERS database

Author

Wu, Junlin, Wu, Hanbiao, Chen, Lili, Liang, Haiping, Huang, Guoning, Yang, Sensen, Chen, Bishan, Noguchi, Yoshihiro, and Shen, Yonggang

Abstract

ABSTRACTBackgroundDaratumumab is widely used in multiple myeloma (MM) and light chain amyloidosis (AL amyloidosis). The purpose of this study was to identify adverse event (AE) signals for daratumumab through the FDA Adverse Event Reporting System (FAERS) database to assess its safety in a large sample of people.MethodsBased on data from the FAERS database, three disproportionality analysis methods were used to mine AE signals for daratumumab, including reporting odd ratio (ROR), proportional reporting ratio (PRR), and bayesian configuration promotion neural network (BCPNN).ResultsA total of 9220 AE reports with daratumumab as the primary suspect drug were collected, containing 23,946 AEs. Within these reports, 252 preferred terms (PT) levels, 73 high level term (HLT) levels and 11 system organ class (SOC) levels of AE signals were detected, along with some new AEs. Most AEs occurred within the first month after drug administration.ConclusionOur findings were consistent with the results of established studies that daratumumab has a good safety profile. The newly identified AEs are of concern and prospective clinical studies are needed to confirm whether they are causally related to daratumumab. This study provided an early warning for the safe use of daratumumab and also provided guidance for further safety studies.

Published
2024
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24. Analysis of core mutation and TET2/ASXL1 mutations DNA methylation profile in myelodysplastic syndrome.

Author

Feng, Yue, Liang, Haiping, Luo, Xingchun, Zhu, Yu, Liu, Bei, and Han, Meining

Subjects
*DNA methylation, *MYELODYSPLASTIC syndromes, *CELL receptors, *FOCAL adhesions, *GENETIC mutation
Abstract

The study aims to analyze genetic mutation and clinical characteristics and study their correlation with survival prognosis of patients with myelodysplastic syndromes (MDS). Moreover, the differential DNA methylation profiles between TET2 mutated (Mut)/ASXL1 wild-type (WT) and TET2-Mut/ASXL1-Mut MDS samples were investigated to explore the mechanism of MDS patients with TET2/ASXL1 mutations. The clinical data of 195 patients diagnosed with MDS were selected and statistically analyzed. The DNA methylation sequencing data set was obtained from the GEO and bioinformatics analyzed. Of the 195 MDS patients, 42 (21.5%) carried TET2 mutations. 81% of TET2-Mut patients could detect comutated genes. The most commonly comutated gene in MDS patients with TET2-Mut was ASXL1, which had a tendency towards poorer prognosis (P = 0.08). GO analysis showed that highly methylated differentially methylated genes (DMGs) was mainly enriched in biological processes such as cell surface receptor signal pathway and cell secretion. Hypomethylated DMGs was mainly enriched in cell differentiation and cell development. KEGG analysis showed that hypermethylated DMGs was mainly enriched in Ras signal pathway and MAPK signal pathway. Hypomethylated DMGs was mainly enriched in extracellular matrix receptor interaction and focal adhesion. PPI network analysis identified 10 hub genes of hypermethylated and hypomethylated DMGs that may be associated with patients with TET2-Mut/ASXL1-Mut respectively. Our results illustrate the interrelationships between genetic mutations and clinical phenotypes and disease outcomes, with substantial potential for clinical application. Differentially methylated hub genes might represent potential biomarkers and provide novel insights and possible targets for MDS with double TET2/ASXL1 mutations. [ABSTRACT FROM AUTHOR]

Published
2023
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34. Parameter Optimization of Hydropower Governor for Small System During Black Start

Author

Liang Haiping, Zang Erbin, Yan Liu, Gu Xueping, Xinjun Li, and Chao Yang

Subjects
0209 industrial biotechnology, Water hammer, Mathematical optimization, Linear programming, business.industry, Computer science, Stability (learning theory), 02 engineering and technology, Multi-objective optimization, Set (abstract data type), 020901 industrial engineering & automation, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Governor, business, Hydropower
Abstract

Frequency stability is a main criteria for determining the feasibility of a black start scheme. If the black-start source is a hydropower unit, its "water hammer effect" will have a significant impact on the frequency stability. In order to reduce the impact, the most effective way is to optimize the governor parameters. Based on the characteristics of hydropower units and their governors, the main parameters that affect governor performance are selected out. A multi-scenario model of black-start schemes is built to improve the suitability of parameters. A multi-objective multi-verse optimization algorithm is introduced to optimize the parameters globally. By using the fuzzy entropy method and multi-attribute decision making based on gray relational model, the most satisfactory parameter combination is chosen from the Pareto optimal set. The validity and applicability of the proposed method are verified by the optimization results of a provincial power grid in China.

Published
2018

40. Effects of a high energy and low protein diet on hepatic and plasma characteristics and Cidea and Cidec mRNA expression in liver and adipose tissue of laying hens with fatty liver hemorrhagic syndrome.

Author

Peng, Gang, Huang, Enfu, Ruan, Jiming, Huang, Liumei, Liang, Haiping, Wei, Qing, Xie, Xianhua, Zeng, Qingjie, and Huang, Jianzhen

Subjects
LOW-protein diet, MESSENGER RNA, CELL death, ADIPOSE tissues, GENE expression, HEMORRHAGIC diseases
Abstract

Cidea and Cidec are two members of Cell death‐inducing DNA fragmentation factor‐alpha‐like effector family proteins, which could be involved in lipid or fat metabolism. To better understand the roles of Cidea and Cidec in fatty liver hemorrhagic syndrome (FLHS), 150 healthy 155‐day‐old Hyline Brown laying hens were randomly divided into control group (fed with basic diet) and experimental group (fed with high‐energy low‐protein [HELP] diet). Analysis of the liver by tissue sectioning and hematoxylin and eosin staining showed that the HELP diet induced micro‐vesicular steatosis in laying hens. Subsequently, based on the liver color scores and the range of lipid accumulation observed in histological examination, we classified livers with <50% vacuolization as mild FLHS and >50% as severe FLHS. The results showed that the levels of Cidea and Cidec mRNA expression were markedly elevated in the liver and adipose tissues with FLHS and the levels of Cidea and Cidec mRNA expression in the liver with severe FLHS were significantly higher than that in the liver with mild FLHS. Thus, the present study revealed that the Cidea and Cidec genes may be involved in pathways of FLHS formation. [ABSTRACT FROM AUTHOR]

Published
2019
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