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성서학연구원심포지움
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Levels of serum Immunomodulators and its alteration with electroconvulsive therapy in treatment resistant depression
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A Study on the Application of Phase Change Material for Electric Vehicle Battery Thermal Management System using Dymola
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케냐프/레이온 혼방 직물의 특성에 관한 연구
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TOURISM AND HOSPITALITY MANAGEMENT
- 검색키워드
- 저자 : Chai Yanhui (검색결과 2 건)
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- 기관 내 무료
- 유료
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Chai Shutong,Zheng Ziyun,Liu Yani,Liang Yanhui,Yang Hong,Chen Jie,Bai Hongjuan,Yang Guan-e 대한독성 유전단백체 학회 2023 Molecular & cellular toxicology Vol.19 No.2
Background Rhodopseudomonas palustris had the eff ect of adsorbing and removing lead ions. Metabolomics is a comprehensive analysis based on several metabolites or biomarkers. Objective The paper aimed to investigate the restorative eff ect and the potential mechanisms of R. palustris in rats with the lead exposure model using 1 H-NMR metabolomics. Results Nine endogenous metabolites from rat plasma and 13 endogenous metabolites from rat urine were identifi ed as potential biomarkers of the symptoms of lead poisoning. The changes of metabolites levels in the plasma included lower levels of valine, acetoacetate, and N-acetyl-glycoprotein and a higher concentration of lactate, acetate, creatine, threonine, glutamine, and asparagine in model group compared with control group. Furthermore, increased citrate, succinate, dimethylamine, pyruvate, acetoacetate, α -oxoglutarate and asparagine, accompanied by decreased LDL/VLDL, taurine, creatinine, glucose and hippurate levels were observed in the model group compared with the control group in the urine. Biochemical parameters and histopathology examination dovetailed well with the metabolomics data. Treatment with R. palustris at a certain degree returned the levels of these metabolites to normal levels. Plasma and urine metabolomic analysis showed changes associated with energy metabolism, amino acids and fatty acid metabolism of lead exposure rats. Conclusion The eff ects of removing lead ions of R. palustris in rats with lead exposure were confi rmed. This research demonstrated that 1 H-NMR-based metabolomics was a promising tool to identify potential biomarkers and unravel protective eff ect mechanisms of R. palustris in lead poisoning rats.
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Short-term Power Load Forecasting Based on Phase Space Reconstruction and EMD-ELM
Zou Hongbo,Yang Qinhe,Chen Junting,Chai Yanhui 대한전기학회 2023 Journal of Electrical Engineering & Technology Vol.18 No.5
With the increasing complexity of the world energy structure, the uncertainty of the power system increases significantly, and the accuracy of the short-term power load forecasting is of great significance to the safe, economical and reliable operation of the power system. In order to further improve the accuracy of short-term power load forecasting, this paper innovatively combines the theories such as phase space reconstruction, empirical mode decomposition, and extreme learning machine to establish a new short-term power load forecasting model based on phase space reconstruction and EMD-ELM. The prediction results show that the root means square error, average relative error and global maximum relative error of the short-term power load forecasting model based on phase space reconstruction and EMD-ELM are much smaller than other forecasting models, which verifies the correctness and effectiveness of the short-term load forecasting method.
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