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significantly linear » significant linear (Expand Search), significantly lower (Expand Search), significantly longer (Expand Search)
larger decrease » marked decrease (Expand Search)
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a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
Showing 201 - 220 results of 18,133 for search '(( significantly ((a decrease) OR (larger decrease)) ) OR ( significantly linear decrease ))', query time: 0.33s Refine Results
  1. 201
    Test plan.

    Test plan. by Hongqi Wang (2208238)

    Published 2024
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  2. 202
    Fitting surface parameters.

    Fitting surface parameters. by Hongqi Wang (2208238)

    Published 2024
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  3. 203
    Model generalisation validation error analysis.

    Model generalisation validation error analysis. by Hongqi Wang (2208238)

    Published 2024
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  4. 204
    Empirical model prediction error analysis.

    Empirical model prediction error analysis. by Hongqi Wang (2208238)

    Published 2024
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  5. 205
    Fitting curve parameters.

    Fitting curve parameters. by Hongqi Wang (2208238)

    Published 2024
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  6. 206
    Test instrument.

    Test instrument. by Hongqi Wang (2208238)

    Published 2024
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  7. 207
    Empirical model establishment process.

    Empirical model establishment process. by Hongqi Wang (2208238)

    Published 2024
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  8. 208
    Model prediction error trend chart.

    Model prediction error trend chart. by Hongqi Wang (2208238)

    Published 2024
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  9. 209
    Basic physical parameters of red clay.

    Basic physical parameters of red clay. by Hongqi Wang (2208238)

    Published 2024
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  10. 210
    BP neural network structure diagram.

    BP neural network structure diagram. by Hongqi Wang (2208238)

    Published 2024
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  11. 211
    Structure diagram of GBDT model.

    Structure diagram of GBDT model. by Hongqi Wang (2208238)

    Published 2024
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  12. 212
    Model prediction error analysis index.

    Model prediction error analysis index. by Hongqi Wang (2208238)

    Published 2024
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  13. 213
    Fitting curve parameter table.

    Fitting curve parameter table. by Hongqi Wang (2208238)

    Published 2024
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  14. 214
    Model prediction error analysis.

    Model prediction error analysis. by Hongqi Wang (2208238)

    Published 2024
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  15. 215
    Multiple linear regression analysis of the RAAS and glucose metabolism indicators before and after treatment in DKD and non-DKD patients.

    Multiple linear regression analysis of the RAAS and glucose metabolism indicators before and after treatment in DKD and non-DKD patients. by Ningning Wang (560944)

    Published 2025
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  16. 216
    Multiple linear regression analysis for psychological distress (GHQ-12 scores).

    Multiple linear regression analysis for psychological distress (GHQ-12 scores). by Kazuhiro Suzuki (160528)

    Published 2025
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  17. 217
    The Date.

    The Date. by Chengyuan Hao (21615653)

    Published 2025
    “…Secondly, the daily minimum and maximum temperatures increased significantly, which were 0.395°C/10a and 0.200°C/10a respectively<b>—</b>less than the national mean. …”
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  18. 218
    Mann-Kendall test for the mean temperature index.

    Mann-Kendall test for the mean temperature index. by Chengyuan Hao (21615653)

    Published 2025
    “…Secondly, the daily minimum and maximum temperatures increased significantly, which were 0.395°C/10a and 0.200°C/10a respectively<b>—</b>less than the national mean. …”
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  19. 219
    Variation curve of the extreme temperature index.

    Variation curve of the extreme temperature index. by Chengyuan Hao (21615653)

    Published 2025
    “…Secondly, the daily minimum and maximum temperatures increased significantly, which were 0.395°C/10a and 0.200°C/10a respectively<b>—</b>less than the national mean. …”
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  20. 220
    Fluctuation trend of the mean temperature index.

    Fluctuation trend of the mean temperature index. by Chengyuan Hao (21615653)

    Published 2025
    “…Secondly, the daily minimum and maximum temperatures increased significantly, which were 0.395°C/10a and 0.200°C/10a respectively<b>—</b>less than the national mean. …”
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