Showing 1 - 20 results of 80,926 for search '(( significant progress regression ) OR ( significant ((small decrease) OR (a decrease)) ))', query time: 2.13s Refine Results
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    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.…”
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    SUI-sEVs decreased the proliferation of fibroblasts. by Xiaoyan Sun (28501)

    Published 2021
    “…(B) The percentage of proliferative fibroblasts in three groups. SUI-sEVs significantly decreased the proliferation of fibroblasts after 72h when compared to the cells in control group and treated with the non SUI-sEVs. …”
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    m 6A RNA Methylation Decreases Atherosclerotic Vulnerable Plaque Through Inducing T Cells by Chunmei Qi (739294)

    Published 2023
    “…Conclusion: After successfully establishing a vascular parkinsonism rabbit model, m 6A RNA methylation can decrease Th cells and vulnerable atherosclerotic plaques.…”
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    Response of small airway tissues infected with EV-D94 and decreasing doses of EV-D68. by Ines Cordeiro Filipe (5849144)

    Published 2022
    “…<p>Tissues were infected with 1E7 RNA copies of EV-D94 (equivalent to 2,46E4 TCID50) and 1E7 RNA copies of EV-D68 (3,3E5 TCID50) as well as decreasing doses of the latter. A and B: Viral loads were quantified by RT-PCR from apical wash samples collected at the indicated time points (A) or from tissues lysed at 2dpi (B). …”
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    SUI-sEVs decreased the migration ability of primary cultured fibroblasts. by Xiaoyan Sun (28501)

    Published 2021
    “…(B) The variation of scratching space between groups is shown in the line chart. SUI-sEVs significant decreased the migration ability of primary cultured fibroblasts at 48h when compared to the cells in control group and treated with the non SUI-sEVs. …”
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    Unconditional quantile regression results. by Lingzhi Tan (19146572)

    Published 2024
    “…However, the significant effects vary significantly at different quantiles. (3) Technological progress and the government’s ability to allocate financial resources play a significant mediating role, and the income gap between urban and rural areas can be further narrowed, as well as the carbon emission intensity gap between provinces. …”
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    Results of the baseline regression analysis. by Lingzhi Tan (19146572)

    Published 2024
    “…However, the significant effects vary significantly at different quantiles. (3) Technological progress and the government’s ability to allocate financial resources play a significant mediating role, and the income gap between urban and rural areas can be further narrowed, as well as the carbon emission intensity gap between provinces. …”