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Showing 1 - 20 results of 85,927 for search '(( significant substantial decrease ) OR ( significant ((trend decrease) OR (_ decrease)) ))', query time: 0.80s Refine Results
  1. 1
    Degeneration Saline group presented with significant decreased final weight in relation to other groups.

    Degeneration Saline group presented with significant decreased final weight in relation to other groups. by Flavia Gomes Velasque Gama (21175112)

    Published 2025
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  2. 2
    Statistically significant union pathways refer to the miRNAs with a decreased expression on day 5.

    Statistically significant union pathways refer to the miRNAs with a decreased expression on day 5. by Morgana Lüdtke Azevedo (15285409)

    Published 2023
    “…<p>Statistically significant union pathways refer to the miRNAs with a decreased expression on day 5.…”
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  3. 3
    Statistically significant union pathways refer to the miRNAs with a decreased expression on day 1.

    Statistically significant union pathways refer to the miRNAs with a decreased expression on day 1. by Morgana Lüdtke Azevedo (15285409)

    Published 2023
    “…<p>Statistically significant union pathways refer to the miRNAs with a decreased expression on day 1.…”
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  4. 4
    Juvenile demyelination leads to a substantial decrease in potassium currents in PV interneurons of the PFC.

    Juvenile demyelination leads to a substantial decrease in potassium currents in PV interneurons of the PFC. by Sara Hijazi (21656615)

    Published 2025
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  5. 5
    Trends in the days of cefalexin therapy per 100 patients, by month, during Phases 1 to 4.

    Trends in the days of cefalexin therapy per 100 patients, by month, during Phases 1 to 4. by Naoya Itoh (6029276)

    Published 2023
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  6. 6
    Trends in the days of quinolone therapy per 100 patients, by month, during Phases 1 to 4.

    Trends in the days of quinolone therapy per 100 patients, by month, during Phases 1 to 4. by Naoya Itoh (6029276)

    Published 2023
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  7. 7
    Trends in the days of macrolides therapy per 100 patients, by month, during Phases 1 to 4.

    Trends in the days of macrolides therapy per 100 patients, by month, during Phases 1 to 4. by Naoya Itoh (6029276)

    Published 2023
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  8. 8
    The number of gauging cross-sections where a statistically significant decreasing trend was identified.

    The number of gauging cross-sections where a statistically significant decreasing trend was identified. by Krzysztof Kochanek (835532)

    Published 2024
    “…<p>The number of gauging cross-sections where a statistically significant decreasing trend was identified.</p>…”
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  9. 9
    Trends in the days of sulfamethoxazole-trimethoprim therapy per 100 patients, by month, during Phases 1 to 4.

    Trends in the days of sulfamethoxazole-trimethoprim therapy per 100 patients, by month, during Phases 1 to 4. by Naoya Itoh (6029276)

    Published 2023
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  10. 10
    Analysis of Significantly Different Bacteria.

    Analysis of Significantly Different Bacteria. by Xu Jia (187142)

    Published 2025
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  11. 11
    Trends in the days of third-generation cephalosporin therapy per 100 patients, by month, during Phases 1 to 4.

    Trends in the days of third-generation cephalosporin therapy per 100 patients, by month, during Phases 1 to 4. by Naoya Itoh (6029276)

    Published 2023
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  12. 12
    Trends in the days of amoxicillin and amoxicillin-clavulanate therapy per 100 patients, by month, during Phases 1 to 4.

    Trends in the days of amoxicillin and amoxicillin-clavulanate therapy per 100 patients, by month, during Phases 1 to 4. by Naoya Itoh (6029276)

    Published 2023
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  13. 13
    Trends in in-hospital mortality by month during the pre-intervention period (Phase 1) and interventional period (Phases 2–4).

    Trends in in-hospital mortality by month during the pre-intervention period (Phase 1) and interventional period (Phases 2–4). by Naoya Itoh (6029276)

    Published 2023
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  14. 14
    Trends in the length of hospital stay by month during the pre-intervention period (Phase 1) and interventional period (Phases 2–4).

    Trends in the length of hospital stay by month during the pre-intervention period (Phase 1) and interventional period (Phases 2–4). by Naoya Itoh (6029276)

    Published 2023
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  15. 15
    Trends in the incidence of resistant <i>Haemophilus influenzae</i> per 1000 patients, by month, during the pre-intervention period (Phase 1) and interventional period (Phases 2–4).

    Trends in the incidence of resistant <i>Haemophilus influenzae</i> per 1000 patients, by month, during the pre-intervention period (Phase 1) and interventional period (Phases 2–4).... by Naoya Itoh (6029276)

    Published 2023
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  16. 16
    Analysis of Significantly Different ARGs and Resistance Mechanisms.

    Analysis of Significantly Different ARGs and Resistance Mechanisms. by Xu Jia (187142)

    Published 2025
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  17. 17
    Trends in the incidence of <i>Clostridioides difficile</i> infection (CDI) per 1000 patients, by month, during the pre-intervention period (Phase 1) and interventional period (Phases 2–4).

    Trends in the incidence of <i>Clostridioides difficile</i> infection (CDI) per 1000 patients, by month, during the pre-intervention period (Phase 1) and interventional period (Phas... by Naoya Itoh (6029276)

    Published 2023
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  18. 18
    Cohesion characteristics and statistical significance analysis of different ingredients across IDDSI levels<sup>b'*'</sup>.

    Cohesion characteristics and statistical significance analysis of different ingredients across IDDSI levels<sup>b'*'</sup>. by Muxi Chen (9294270)

    Published 2025
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  19. 19
    Adhesion characteristics and statistical significance analysis of different ingredients across IDDSI levels<sup>b'*'</sup>.

    Adhesion characteristics and statistical significance analysis of different ingredients across IDDSI levels<sup>b'*'</sup>. by Muxi Chen (9294270)

    Published 2025
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  20. 20
    Hardness characteristics and statistical significance analysis of different ingredients across IDDSI levels<sup>b'*'</sup>.

    Hardness characteristics and statistical significance analysis of different ingredients across IDDSI levels<sup>b'*'</sup>. by Muxi Chen (9294270)

    Published 2025
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