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greater decrease » greater increase (Expand Search), greater increases (Expand Search), rate decreased (Expand Search)
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Showing 61 - 80 results of 686 for search '(( via ((laser decrease) OR (linear decrease)) ) OR ( far greater decrease ))', query time: 0.98s Refine Results
  1. 61
    Characteristics of the included trials (n = 17).

    Characteristics of the included trials (n = 17). by Xiaojuan Yang (794374)

    Published 2025
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  2. 62
    Risk of bias graph.

    Risk of bias graph. by Xiaojuan Yang (794374)

    Published 2025
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  3. 63
    Network plot for VAS score.

    Network plot for VAS score. by Xiaojuan Yang (794374)

    Published 2025
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  4. 64
    Results of network meta-analysis for scar thickness based on the frequentist approach (SMD, 95% CI).

    Results of network meta-analysis for scar thickness based on the frequentist approach (SMD, 95% CI). by Xiaojuan Yang (794374)

    Published 2025
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  5. 65
    Funnel plot for VAS score.

    Funnel plot for VAS score. by Xiaojuan Yang (794374)

    Published 2025
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  6. 66
    Fig 9 -

    Fig 9 - by Wenping Dong (3854437)

    Published 2021
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  7. 67
    Structural formula of NIF.

    Structural formula of NIF. by Wenping Dong (3854437)

    Published 2021
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  8. 68
    Fig 7 -

    Fig 7 - by Wenping Dong (3854437)

    Published 2021
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  9. 69
    Fig 4 -

    Fig 4 - by Wenping Dong (3854437)

    Published 2021
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  10. 70
    Experimental setup of UV/H<sub>2</sub>O<sub>2</sub>.

    Experimental setup of UV/H<sub>2</sub>O<sub>2</sub>. by Wenping Dong (3854437)

    Published 2021
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  11. 71
    Fig 5 -

    Fig 5 - by Wenping Dong (3854437)

    Published 2021
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  12. 72
    Fig 8 -

    Fig 8 - by Wenping Dong (3854437)

    Published 2021
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  13. 73
    Fig 3 -

    Fig 3 - by Wenping Dong (3854437)

    Published 2021
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  14. 74
    Fig 6 -

    Fig 6 - by Wenping Dong (3854437)

    Published 2021
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  15. 75
    Average adjusted predicted probability of high SSB consumption<sup>a</sup> in San Francisco and San Jose before, one, and two years after San Francisco’s sugar sweetened beverages tax implementation, stratified by federal poverty level (FPL) (n = 1,443).

    Average adjusted predicted probability of high SSB consumption<sup>a</sup> in San Francisco and San Jose before, one, and two years after San Francisco’s sugar sweetened beverages... by Lynn D. Silver (3931730)

    Published 2023
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  16. 76
    Average adjusted predicted probability of high SSB consumption<sup>a</sup> with 95% confidence intervals in San Francisco and San Jose before, one, and two years after San Francisco’s sugar sweetened beverages tax implementation (n = 1,443).

    Average adjusted predicted probability of high SSB consumption<sup>a</sup> with 95% confidence intervals in San Francisco and San Jose before, one, and two years after San Francisc... by Lynn D. Silver (3931730)

    Published 2023
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  17. 77
    Difference-in-differences of sugar-sweetened beverage consumption (ounces) pre- and post-tax implementation between San Francisco and San José pre- and post-tax implementation (n = 1,443).

    Difference-in-differences of sugar-sweetened beverage consumption (ounces) pre- and post-tax implementation between San Francisco and San José pre- and post-tax implementation (n =... by Lynn D. Silver (3931730)

    Published 2023
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  18. 78
    Difference-in-differences of likelihood of high sugar-sweetened beverage (SSB) consumption<sup>a</sup> pre- and post-tax implementation between San Francisco and San José (n = 1,443).

    Difference-in-differences of likelihood of high sugar-sweetened beverage (SSB) consumption<sup>a</sup> pre- and post-tax implementation between San Francisco and San José (n = 1,44... by Lynn D. Silver (3931730)

    Published 2023
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  19. 79
    Characteristics of sample at baseline, overall and by city (2017–2018).

    Characteristics of sample at baseline, overall and by city (2017–2018). by Lynn D. Silver (3931730)

    Published 2023
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  20. 80
    Predicted mean consumption of sugar-sweetened beverages (ounces) with 95% confidence intervals in San Francisco and San José before, one, and two years after San Francisco’s sugar sweetened beverages tax implementation (n = 1,443).

    Predicted mean consumption of sugar-sweetened beverages (ounces) with 95% confidence intervals in San Francisco and San José before, one, and two years after San Francisco’s sugar... by Lynn D. Silver (3931730)

    Published 2023
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