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Forecasting the number of rural migrant workers in Chongqing using the optimized grey N_Verhulst model.

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Title: Forecasting the number of rural migrant workers in Chongqing using the optimized grey N_Verhulst model.
Authors: Liu, Dai1,2 (AUTHOR), He, Chengxiang2 (AUTHOR), Ma, Jianlong3 (AUTHOR) mjl@cfec.edu.cn
Source: Scientific Reports. 1/29/2025, Vol. 15 Issue 1, p1-14. 14p.
Database: Academic Search Ultimate
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  Data: Forecasting the number of rural migrant workers in Chongqing using the optimized grey N_Verhulst model.
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  Data: <searchLink fieldCode="AR" term="%22Liu%2C+Dai%22">Liu, Dai</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22He%2C+Chengxiang%22">He, Chengxiang</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ma%2C+Jianlong%22">Ma, Jianlong</searchLink><relatesTo>3</relatesTo> (AUTHOR)<i> mjl@cfec.edu.cn</i>
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  Data: <searchLink fieldCode="JN" term="%22Scientific+Reports%22">Scientific Reports</searchLink>. 1/29/2025, Vol. 15 Issue 1, p1-14. 14p.
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        Value: 10.1038/s41598-025-88085-2
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        Text: English
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      – TitleFull: Forecasting the number of rural migrant workers in Chongqing using the optimized grey N_Verhulst model.
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            NameFull: He, Chengxiang
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              Text: 1/29/2025
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