Showing 101 - 120 results of 21,342 for search '(( significant decrease decrease ) OR ( significance set decrease ))', query time: 0.42s Refine Results
  1. 101

    The minimal data set 17. by Esete Habtemariam Fenta (9727779)

    Published 2024
    “…The most significant service delivery changes included repurposing health centers and prolonged prescriptions (multi-month medication dispensing). …”
  2. 102

    The minimal data set 19. by Esete Habtemariam Fenta (9727779)

    Published 2024
    “…The most significant service delivery changes included repurposing health centers and prolonged prescriptions (multi-month medication dispensing). …”
  3. 103

    The minimal data set 4. by Esete Habtemariam Fenta (9727779)

    Published 2024
    “…The most significant service delivery changes included repurposing health centers and prolonged prescriptions (multi-month medication dispensing). …”
  4. 104

    The minimal data set 13. by Esete Habtemariam Fenta (9727779)

    Published 2024
    “…The most significant service delivery changes included repurposing health centers and prolonged prescriptions (multi-month medication dispensing). …”
  5. 105

    The minimal data set 7. by Esete Habtemariam Fenta (9727779)

    Published 2024
    “…The most significant service delivery changes included repurposing health centers and prolonged prescriptions (multi-month medication dispensing). …”
  6. 106

    Testing set error. by Xiangjuan Liu (618000)

    Published 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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  11. 111

    ECoG timescales decrease during spatial attention. by Isabel Raposo (21615517)

    Published 2025
    “…Bottom: timescales significantly decrease during covert attention relative to the attend-out condition (two locations: <i>p</i> = 0.0244; four locations: <i>p</i> < 0.0001; mean ± SEM; whiskers indicate maximum and minimum; dots correspond to individual electrodes). …”
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