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significantly declined » significant decline (Expand Search), significantly delayed (Expand Search), significantly decreased (Expand Search)
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Showing 1 - 20 results of 3,390 for search '(( significant ((greater decrease) OR (largest decrease)) ) OR ( significantly declined decrease ))', query time: 0.61s Refine Results
  1. 1
    Comparison of the rates of decline in the UACR and urinary β2-MG levels between the two subgroups.

    Comparison of the rates of decline in the UACR and urinary β2-MG levels between the two subgroups. by Jia Song (495396)

    Published 2025
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  2. 2
    Evolution of health burden and life expectancy under different expenditure scenarios.

    Evolution of health burden and life expectancy under different expenditure scenarios. by Margherita Molaro (17803989)

    Published 2025
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  3. 3
    Capabilities expansion scenarios considered. <i><i>g</i></i><sub>GDP</sub> and <i><i>g</i></i><sub>fHE</sub> refer to the growth rate of annual GDP (in constant 2015 US$) and growth rate of fraction of GDP allocated to health (<i><i>f</i></i><sub>HE</sub>) assumed, leading to a yearly expenditure growth per scenario of [(1 + <i><i>g</i></i><sub>GDP</sub>) × (1 + <i><i>g</i></i><sub>fHE</sub>) − 1]. The normalised health expenditure (NHE) associated with each scenario (defined in

    Capabilities expansion scenarios considered. <i><i>g</i></i><sub>GDP</sub> and <i><i>g</i></i><sub>fHE</sub> refer to the growth rate of annual GDP (in constant 2015 US$) and growt... by Margherita Molaro (17803989)

    Published 2025
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  4. 4
    Scaling of overall health burden with yearly expenditure growth.

    Scaling of overall health burden with yearly expenditure growth. by Margherita Molaro (17803989)

    Published 2025
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  5. 5
    Impact on different areas of health.

    Impact on different areas of health. by Margherita Molaro (17803989)

    Published 2025
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  6. 6
    Frontier analysis of injuries’ burden caused by fire, heat, and hot substances from 1990 to 2021.

    Frontier analysis of injuries’ burden caused by fire, heat, and hot substances from 1990 to 2021. by Shi Huang (125861)

    Published 2025
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  7. 7
    Model-averaged coefficients, significance, and relative importance (RI) of the predictor variables for the GLMMs to evaluate effects on: (A) overall pollinator abundance; (B) fruit production per female tree, (C) seed production per female tree; and (D) seed weight. Farming system refers to ecological vs. conventional practices; CCA1 refers to the first axis of the CCA and depicts the relationship between the % of natural habitats in the landscape and the composition of the pollinator community (increase abundance of wild bees with the increase in natural habitats); Male-to-female ratio and Male-to-female ratio<sup>2</sup> indicate linear and quadratic terms, respectively. Significant <i>p</i>-values are marked in bold. RI was estimated by summing the Akaike weights over all the models where each explanatory variable appeared, and highlights the importance of these variables in the models [75].

    Model-averaged coefficients, significance, and relative importance (RI) of the predictor variables for the GLMMs to evaluate effects on: (A) overall pollinator abundance; (B) fruit... by Carmelo Gómez-Martínez (9384385)

    Published 2025
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  8. 8
    Cases and age-standardized rates of hematological malignancies in mainland China and their temporal trends.

    Cases and age-standardized rates of hematological malignancies in mainland China and their temporal trends. by Yu Fu (16582)

    Published 2025
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  9. 9
    Projections of incidence for hematological malignancies in mainland China.

    Projections of incidence for hematological malignancies in mainland China. by Yu Fu (16582)

    Published 2025
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  10. 10
    Age- and sex-specific distribution of prevalence, incidence, mortality, and DALY rates for lymphoma, multiple myeloma, and other hematological neoplasms in mainland China.

    Age- and sex-specific distribution of prevalence, incidence, mortality, and DALY rates for lymphoma, multiple myeloma, and other hematological neoplasms in mainland China. by Yu Fu (16582)

    Published 2025
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  11. 11
    Disease burden trends of leukemia and lymphoma analyzed by joinpoint regression analysis in mainland China.

    Disease burden trends of leukemia and lymphoma analyzed by joinpoint regression analysis in mainland China. by Yu Fu (16582)

    Published 2025
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  12. 12
    Disease burden trends of multiple myeloma and other hematological neoplasms analyzed by joinpoint regression analysis in mainland China.

    Disease burden trends of multiple myeloma and other hematological neoplasms analyzed by joinpoint regression analysis in mainland China. by Yu Fu (16582)

    Published 2025
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  13. 13
    Cases and age-standardized rates of hematological malignancies in Taiwan and their temporal trends.

    Cases and age-standardized rates of hematological malignancies in Taiwan and their temporal trends. by Yu Fu (16582)

    Published 2025
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  14. 14
    The raw data used in this study.

    The raw data used in this study. by Yu Fu (16582)

    Published 2025
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  15. 15
    Age- and sex-specific distribution of prevalence, incidence, mortality, and DALY rates for leukemia in mainland China.

    Age- and sex-specific distribution of prevalence, incidence, mortality, and DALY rates for leukemia in mainland China. by Yu Fu (16582)

    Published 2025
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  16. 16
    Projections of mortality for hematological malignancies in mainland China.

    Projections of mortality for hematological malignancies in mainland China. by Yu Fu (16582)

    Published 2025
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  17. 17
    Negative ion mode significant differential metabolites (Fold Change greater than 2 or less than 0.5).

    Negative ion mode significant differential metabolites (Fold Change greater than 2 or less than 0.5). by Peng-fei Han (694841)

    Published 2025
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  18. 18
    Positive ion mode significant differential metabolites (Fold Change greater than 2 or less than 0.5).

    Positive ion mode significant differential metabolites (Fold Change greater than 2 or less than 0.5). by Peng-fei Han (694841)

    Published 2025
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  19. 19
    Balance test results.

    Balance test results. by Le Zhu (1771669)

    Published 2025
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  20. 20
    Variables.

    Variables. by Le Zhu (1771669)

    Published 2025
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