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Showing 1 - 20 results of 4,439 for search '(( significant ((marked decrease) OR (greater decrease)) ) OR ( significant declines decrease ))', query time: 0.51s Refine Results
  1. 1
    Metabolites with decreasing levels during the development.

    Metabolites with decreasing levels during the development. by Martin Sládek (130663)

    Published 2025
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  2. 2
    (a) M-K test of annual average water level in Caspian Sea (unformatted fit (UF) and underidentification bias (UB) is positive and reverse order in the time series respectively; ɑ is the significance level); (b) Pettitt test statistic (ɑ is the significance level, KT is the statistic of Pettitt test).

    (a) M-K test of annual average water level in Caspian Sea (unformatted fit (UF) and underidentification bias (UB) is positive and reverse order in the time series respectively; ɑ i... by Zihao Duan (17403792)

    Published 2025
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  3. 3
    Percent Decrease in FGM between Oldest (45-49 years) and Youngest (15-19 years) Cohorts of Women over the years in Egypt.

    Percent Decrease in FGM between Oldest (45-49 years) and Youngest (15-19 years) Cohorts of Women over the years in Egypt. by Shatha Elnakib (8901764)

    Published 2025
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  4. 4
    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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  5. 5
    Water level changes in the foresight scenarios.

    Water level changes in the foresight scenarios. by Zihao Duan (17403792)

    Published 2025
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  6. 6
    Water level changes in the Caspian Sea.

    Water level changes in the Caspian Sea. by Zihao Duan (17403792)

    Published 2025
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  7. 7
    Methods used to extract shoreline changes.

    Methods used to extract shoreline changes. by Zihao Duan (17403792)

    Published 2025
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  8. 8
    Coastline variations in different years. Map data were generated with Natural Earth (http://www.naturalearthdata.com/).

    Coastline variations in different years. Map data were generated with Natural Earth (http://www.naturalearthdata.com/). by Zihao Duan (17403792)

    Published 2025
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  9. 9
    Study area of the Caspian Sea.

    Study area of the Caspian Sea. by Zihao Duan (17403792)

    Published 2025
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  10. 10
    Morlet wavelet power spectrum of the sea level.

    Morlet wavelet power spectrum of the sea level. by Zihao Duan (17403792)

    Published 2025
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  11. 11
    (a) Change rates were calculated for each transect along the coastlines from 1985 to 2023; (b) Coastline change rates of the Caspian Sea based on the EPR and LRR.

    (a) Change rates were calculated for each transect along the coastlines from 1985 to 2023; (b) Coastline change rates of the Caspian Sea based on the EPR and LRR. by Zihao Duan (17403792)

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  12. 12
    Water surface transitions from 1984 to 2021. The map data were generated by the Global Surface Water Explorer (https://global-surface-water.appspot.com/faq).

    Water surface transitions from 1984 to 2021. The map data were generated by the Global Surface Water Explorer (https://global-surface-water.appspot.com/faq). by Zihao Duan (17403792)

    Published 2025
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  13. 13
    The coastline changes of the Aral Sea from 1960 to 2023. Land cover data are from LANDSAT 8 (

    The coastline changes of the Aral Sea from 1960 to 2023. Land cover data are from LANDSAT 8 ( by Zihao Duan (17403792)

    Published 2025
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  14. 14
    Coastal area changes during the period 1985–2023.

    Coastal area changes during the period 1985–2023. by Zihao Duan (17403792)

    Published 2025
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  15. 15
    (a) Surface area and volume change with water level; (b) Topographic changes in the Caspian Sea.

    (a) Surface area and volume change with water level; (b) Topographic changes in the Caspian Sea. by Zihao Duan (17403792)

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  16. 16
    (a) Coastline length changes in the Caspian Sea; (b) LSI changes between 1985 and 2023 (P1 = 1985–1990, P2 = 1990–1995, P3 = 1995–2000, P4 = 2000–2005, P5 = 2005–2010, P6 = 2010–2015, P7 = 2015–2020, P8 = 2020–2023).

    (a) Coastline length changes in the Caspian Sea; (b) LSI changes between 1985 and 2023 (P1 = 1985–1990, P2 = 1990–1995, P3 = 1995–2000, P4 = 2000–2005, P5 = 2005–2010, P6 = 2010–20... by Zihao Duan (17403792)

    Published 2025
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  17. 17
    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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  18. 18
    Cinacalcet administered early in the inactive phase markedly decrease parathyroid Ki-67 index.

    Cinacalcet administered early in the inactive phase markedly decrease parathyroid Ki-67 index. by Søren Egstrand (10906087)

    Published 2025
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  19. 19
    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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  20. 20
    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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