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数据化计量控制 提高电极加工质量
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作者 刘炳强 赵修富 陈维宪 《炭素技术》 CAS CSCD 2006年第2期40-43,共4页
提出了数据化计量控制对提高电极加工质量的必要性,介绍了国产石墨电极专用环规的测量功能和使用方法,阐述了利用环规检测的数据调整控制电极加工参数的一些做法,说明通过数据化计量控制可明显提高电极加工精度和联接质量。
关键词 数据化计量 电极加工精度 环规
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数据化计量控制是提高电极加工质量的关键
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作者 刘炳强 赵修富 陈维宪 《炭材料科学与工艺》 2005年第4期22-25,共4页
本文提出了数据化计量控制对提高电极加工质量的必要性,介绍了国产石墨电极专用环规的测量功能和使用方法,阐述了利用环规检测的数据调整控制电极加工参数的一些做法,说明通过数据化计量控制可明显提高电极加工精度和联结质量。
关键词 数据化计量 电极加工精度 环规
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Bibliometric analysis of synthetic phenol antioxidants in marine environment based on CNKI database
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作者 DONG Yubo GAO Yan +2 位作者 ZHANG Jingwei HOU Chunqiang DAI Yuanyuan 《Marine Science Bulletin》 CAS 2020年第2期88-96,共9页
To investigate the application of synthetic phenolic antioxidants in marine research by bibliometrics analysis.Papers on the theme of synthetic phenolic antioxidants(N=135)was retrieved from the database of China Nati... To investigate the application of synthetic phenolic antioxidants in marine research by bibliometrics analysis.Papers on the theme of synthetic phenolic antioxidants(N=135)was retrieved from the database of China National Knowledge Infrastructure(CNKI),and the bibliometrics analysis was carried out in terms of article trend and keywords.Results show that the output of literature in this field has grown steadily and rapidly in the past 8 years.64.4%of the papers were published in the past 5 years.The relevance of research topics has increased in recent years.Current researches mainly focus on spatial and temporal distribution characteristics,metabolites and optimized detection methods.The analysis of its metabolites is helpful to understand the development of integrated microorganisms in Marine research. 展开更多
关键词 CNKI database synthetic phenolic antioxidants BIBLIOMETRICS
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Metabonomic study of rats exposed to cigarette sidestream smoke
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作者 练文柳 石先哲 +1 位作者 罗嘉 任凤莲 《Journal of Central South University》 SCIE EI CAS CSCD 2016年第3期535-543,共9页
A metabonomic approach was undertaken in order to detect urinary endogenous and exogenous metabolites and to evaluate the effects of passive exposure to cigarette sidestream smoke on rats. Urinary samples from three g... A metabonomic approach was undertaken in order to detect urinary endogenous and exogenous metabolites and to evaluate the effects of passive exposure to cigarette sidestream smoke on rats. Urinary samples from three groups of rats were determined including control rats, rats treated with blended cigarettes(nonmenthol cigarettes) and rats treated with menthol cigarettes. The total urinary 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanol(NNAL), total 1-hydroxypyrene(1-HOP) and 3-hydroxybenzo[a] pyrene(3-HOBaP) were determined for assessing exposure to cigarette sidestream smoke toxins. Urinary endogenous metabolites in the three groups of rats were also analyzed and the data were processed by chemometrics. Eleven endogenous metabolites were found and identified. Their relative levels were compared among the three groups. The results show that cigarette sidestream smoke has complex effect on rats. Blended cigarette group makes difference to menthol cigarette group in the rats' urinary metabolic changes. Menthol adding to cigarettes has positive and negative effects on rats, respectively. The urinary metabolic profiling of menthol cigarette group is closer to that of control group. 展开更多
关键词 METABONOMICS RATS URINE endogenous metabolites exogenous metabolites
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Chemometrics-aided Metabolic Fingerprint Method Applied in Bladder Cancer Stages Differentiating
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作者 You QIN Lin CHEN +2 位作者 Jian-Hu HUANG Shui-Han ZHANG Zuo-Wei XIAO 《Digital Chinese Medicine》 2018年第3期211-218,共8页
Objective To establish early detection and diagnosis for bladder cancer.Methods In the current study,a metabolomics strategy was used to profile bladder cancer urine metabolites in mice and to further characterize the... Objective To establish early detection and diagnosis for bladder cancer.Methods In the current study,a metabolomics strategy was used to profile bladder cancer urine metabolites in mice and to further characterize the disease status at different stages.In addition,some chemometrics algorithms were adopted to analyze the metabolites fingerprints,including baseline removal and retention time shift,to overcome variations in the experimental process.After processing,metabolites were qualitatively and quantitatively analyzed in each sample at different stages.Finally,a random forest algorithm was used to discriminate the differences among different groups.Results Four potential biomarkers,including glyceric acid,(R*,R*)-2,3-Dihydroxybutanoic acid,N-(1-oxohexyl)-glycine and D-Turanose,were discovered by exploring the characteristics of different groups.Conclusion These results suggest that combining chemometrics with the metabolites profile is an effective approach to aid in clinical diagnosis. 展开更多
关键词 Metabolic fingerprints Chemometrics approaches Data analysis Bladder cancer
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