Characteristics of soil organic carbon mineralization. (a) cumulative soil organic carbon mineralization rate, (b) cumulative amount of soil organic carbon mineralization, and (c)... by Jie Wei (264772)

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Regression equations for the cumulative soil organic carbon mineralization rates and the mineralization kinetic equation parameters. by Jie Wei (264772)

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Amounts of fertilizers used in the field experiment treatments. by Jie Wei (264772)

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Correlation and principal component analysis. by Jie Wei (264772)

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The photoreceptor phyB negatively regulates PIF4 autoinhibition. by Sreya Das (20531295)

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COP1/DET1 module promotes PIF4 autoinhibition. by Sreya Das (20531295)

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A mathematical model of PIF4 autoregulation captures the experimental observations of hypocotyl growth and promoter activity. by Sreya Das (20531295)

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Variations in slope utilization by a female red panda across different time periods and in comparison with their wild individuals. Different capital letters indicated significant d... by Yanshan Zhou (14131359)

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Variations in altitude utilization by a female red panda across different time periods and in comparison with wild individuals. Different capital letters indicated significant diff... by Yanshan Zhou (14131359)

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Variations in aspect utilization by a female red panda across different time periods and in comparison with wild individuals. Different capital letters indicated significant differ... by Yanshan Zhou (14131359)

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PIF4 protein level regulates <i>PIF4</i> promoter activity in a temperature-dependent manner. by Sreya Das (20531295)

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Example of sample data. by Xiying Wang (4859998)

“…Under a standalone BPNN, the absolute relative error in flow prediction is 1.09%. In contrast, the EGA-BPNN model achieves a significantly lower mean absolute relative error of 0.41% for single-flow prediction, demonstrating superior prediction performance. …”

Structure of BPNN. by Xiying Wang (4859998)

“…Under a standalone BPNN, the absolute relative error in flow prediction is 1.09%. In contrast, the EGA-BPNN model achieves a significantly lower mean absolute relative error of 0.41% for single-flow prediction, demonstrating superior prediction performance. …”

The workflow of EGA-BPNN. by Xiying Wang (4859998)

“…Under a standalone BPNN, the absolute relative error in flow prediction is 1.09%. In contrast, the EGA-BPNN model achieves a significantly lower mean absolute relative error of 0.41% for single-flow prediction, demonstrating superior prediction performance. …”

S1 Data - by Xiying Wang (4859998)

“…Under a standalone BPNN, the absolute relative error in flow prediction is 1.09%. In contrast, the EGA-BPNN model achieves a significantly lower mean absolute relative error of 0.41% for single-flow prediction, demonstrating superior prediction performance. …”

Algorithm flow of the GA-BPNN model. by Xiying Wang (4859998)

“…Under a standalone BPNN, the absolute relative error in flow prediction is 1.09%. In contrast, the EGA-BPNN model achieves a significantly lower mean absolute relative error of 0.41% for single-flow prediction, demonstrating superior prediction performance. …”

Results for the asymmetric relationship between military expenditures and DOD energy consumption. by Ryan P. Thombs (9138968)

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Coefficient plot of short-run effects. by Ryan P. Thombs (9138968)

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Seven forecast scenarios. by Ryan P. Thombs (9138968)

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Annual Difference in Energy Consumption Relative to Historical Median Change by 2032. by Ryan P. Thombs (9138968)

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