يعرض 341 - 360 نتائج من 8,230 نتيجة بحث عن '(( significantly ((we decrease) OR (nn decrease)) ) OR ( significant reduction decrease ))', وقت الاستعلام: 0.55s تنقيح النتائج
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    Clinical course of patient no. حسب Kazuyoshi Ohkawa (836847)

    منشور في 2024
    الموضوعات:
  12. 352

    Table 1_NSAID use may decrease serum Klotho levels.docx حسب Jingchao Yan (14079168)

    منشور في 2025
    "…Subgroup analyses did not reveal any statistically significant interactions.</p>Conclusion<p>Contrary to previous speculations, the use of NSAIDs is associated with a decrease in serum Klotho levels.…"
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    Voxel-based whole-hemisphere analysis shows regional and dose-dependent decrease of microglia. حسب Francesca Catto (21253435)

    منشور في 2025
    "…However, when high doses of netoglitazone are administered for long-term, it produces a significant and scattered effect, leading to a noticeable reduction in microglia volume in cortical and hippocampal regions. …"
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    Hybrid PNN-PPN 10 T SRAM and LCTS for Leakage Reduction in VLSI حسب Anitha P. Bose (21775416)

    منشور في 2025
    "…<p>Leakage power, defined as the unwanted current flow when a transistor is in the OFF state, significantly impacts the power consumption and performance of VLSI designs, particularly during standby modes. …"
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    Testing set error. حسب Xiangjuan Liu (618000)

    منشور في 2025
    "…Further integration of Spearman correlation analysis and PCA dimensionality reduction created multidimensional feature sets, revealing substantial accuracy improvements: The BiLSTM model achieved an 83.6% cumulative MAE reduction from 1.65 (raw data) to 0.27 (STL-PCA), while traditional models like Prophet showed an 82.2% MAE decrease after feature engineering optimization. …"
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    Internal structure of an LSTM cell. حسب Xiangjuan Liu (618000)

    منشور في 2025
    "…Further integration of Spearman correlation analysis and PCA dimensionality reduction created multidimensional feature sets, revealing substantial accuracy improvements: The BiLSTM model achieved an 83.6% cumulative MAE reduction from 1.65 (raw data) to 0.27 (STL-PCA), while traditional models like Prophet showed an 82.2% MAE decrease after feature engineering optimization. …"
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    Prediction effect of each model after STL. حسب Xiangjuan Liu (618000)

    منشور في 2025
    "…Further integration of Spearman correlation analysis and PCA dimensionality reduction created multidimensional feature sets, revealing substantial accuracy improvements: The BiLSTM model achieved an 83.6% cumulative MAE reduction from 1.65 (raw data) to 0.27 (STL-PCA), while traditional models like Prophet showed an 82.2% MAE decrease after feature engineering optimization. …"