hubei province Search Results


cities in hubei province  (Jingzhou Natural Astaxanthin)
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yeast angel yeast co., yichang, hubei province, china  (Angel Yeast Co Ltd)
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samples from hefeng of hubei province (s8)  (Hefeng Pharmaceutical Co Limited)
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The geographical information and similarity values of leaf samples of C. paliurus.
Samples From Hefeng Of Hubei Province (S8), supplied by Hefeng Pharmaceutical Co Limited, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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county, hubei province, china  (Jingzhou Natural Astaxanthin)
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Jingzhou Natural Astaxanthin county, hubei province, china
The geographical information and similarity values of leaf samples of C. paliurus.
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cities (counties) in hubei province  (Qianjiang Yongan Pharmaceutical)
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Qianjiang Yongan Pharmaceutical cities (counties) in hubei province
The geographical information and similarity values of leaf samples of C. paliurus.
Cities (Counties) In Hubei Province, supplied by Qianjiang Yongan Pharmaceutical, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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hubei province  (Huangshi Feiyun Pharmaceutical Co Ltd)
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Huangshi Feiyun Pharmaceutical Co Ltd hubei province
Comparison of prediction results in <t> Hubei Province </t>
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hubei province: qianjiang (qj)  (Qianjiang Yongan Pharmaceutical)
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Qianjiang Yongan Pharmaceutical hubei province: qianjiang (qj)
Comparison of prediction results in <t> Hubei Province </t>
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Image Search Results


The geographical information and similarity values of leaf samples of C. paliurus.

Journal: Molecules : A Journal of Synthetic Chemistry and Natural Product Chemistry

Article Title: Chemical Fingerprint and Multicomponent Quantitative Analysis for the Quality Evaluation of Cyclocarya paliurus Leaves by HPLC–Q–TOF–MS

doi: 10.3390/molecules22111927

Figure Lengend Snippet: The geographical information and similarity values of leaf samples of C. paliurus.

Article Snippet: Among the tested samples, the samples from Hefeng of Hubei Province (S8) and Lueyang of Shanxi Province (S17) contained the highest total content (more than 10.0 mg/g), while the sample from Suining of Hunan Province (S13) showed the lowest total amount (less than 2.10 mg/g), indicating that the contents of phenolic compounds in C. paliurus leaves may be influenced by environmental factors or genotypes.

Techniques:

Comparison of prediction results in Hubei Province

Journal: Soft Computing

Article Title: Predicting COVID-19 using lioness optimization algorithm and graph convolution network

doi: 10.1007/s00500-022-07778-2

Figure Lengend Snippet: Comparison of prediction results in Hubei Province

Article Snippet: In the experiment, we selected 17 regions in Hubei Province as the primary research areas, namely Wuhan, Ezhou, Enshi, Huanggang, Huangshi, Jingmen, Jingzhou, Qianjiang, Shennongjia, Shiyan, Suizhou, Tianmen, Xiantao, Xianning, Xiangyang, Xiaogan and Yichang.

Techniques: Comparison

Comparison of prediction results of 17 regions in Hubei Province

Journal: Soft Computing

Article Title: Predicting COVID-19 using lioness optimization algorithm and graph convolution network

doi: 10.1007/s00500-022-07778-2

Figure Lengend Snippet: Comparison of prediction results of 17 regions in Hubei Province

Article Snippet: In the experiment, we selected 17 regions in Hubei Province as the primary research areas, namely Wuhan, Ezhou, Enshi, Huanggang, Huangshi, Jingmen, Jingzhou, Qianjiang, Shennongjia, Shiyan, Suizhou, Tianmen, Xiantao, Xianning, Xiangyang, Xiaogan and Yichang.

Techniques: Comparison

Experimental results of LsOA-GCN and other methods–Hubei Province

Journal: Soft Computing

Article Title: Predicting COVID-19 using lioness optimization algorithm and graph convolution network

doi: 10.1007/s00500-022-07778-2

Figure Lengend Snippet: Experimental results of LsOA-GCN and other methods–Hubei Province

Article Snippet: In the experiment, we selected 17 regions in Hubei Province as the primary research areas, namely Wuhan, Ezhou, Enshi, Huanggang, Huangshi, Jingmen, Jingzhou, Qianjiang, Shennongjia, Shiyan, Suizhou, Tianmen, Xiantao, Xianning, Xiangyang, Xiaogan and Yichang.

Techniques: