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Showing 1 - 20 results of 93 for search '(( significantly ((greatest decrease) OR (a decrease)) ) OR ( significant reduction decrease ))~', query time: 0.52s Refine Results
  1. 1
    Boxplot of the acoustic parameters of <i>Scinax pachycrus</i> in response to wind farm noise. The graphs show that calling males found in the ponds of the most intense noise classes had a reduction in the parameters dominant frequency (A), frequency range (B) and call amplitude (C). * Letters above the bars indicate significant differences between the noise categories.

    Boxplot of the acoustic parameters of <i>Scinax pachycrus</i> in response to wind farm noise. The graphs show that calling males found in the ponds of the most intense noise classe... by Rogério Ferreira de Oliveira (11133750)

    Published 2025
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  2. 2
    Boxplot of the acoustic parameters of <i>Scinax x-signatus</i> in response to wind farm noise. The graphs show that calling males found in the ponds of the most intense noise classes had a reduction in the parameters call amplitude (C) and call pulses (E). * Letters above the bars indicate significant differences between the noise categories.

    Boxplot of the acoustic parameters of <i>Scinax x-signatus</i> in response to wind farm noise. The graphs show that calling males found in the ponds of the most intense noise class... by Rogério Ferreira de Oliveira (11133750)

    Published 2025
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  3. 3
    Boxplot of the acoustic parameters of <i>Physalaemus cicada</i> in response to wind farm noise. The graphs show that calling males found in the ponds of the most intense noise classes had a reduction in the parameters call duration (D), call pulses (E) and an increase in call rate (F). *  Letters above the bars indicate significant differences between the noise categories.

    Boxplot of the acoustic parameters of <i>Physalaemus cicada</i> in response to wind farm noise. The graphs show that calling males found in the ponds of the most intense noise clas... by Rogério Ferreira de Oliveira (11133750)

    Published 2025
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  4. 4
    Simulated regional mean wetland seasons.

    Simulated regional mean wetland seasons. by Nic Gedney (19762301)

    Published 2024
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  5. 5
    Projected decadal changes in seasonality in the hydrological cycle over the wetland regions.

    Projected decadal changes in seasonality in the hydrological cycle over the wetland regions. by Nic Gedney (19762301)

    Published 2024
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  6. 6
    Contemporary mean inundation fraction in the Amazon basin.

    Contemporary mean inundation fraction in the Amazon basin. by Nic Gedney (19762301)

    Published 2024
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  7. 7
    Decadal mean regional hydrology.

    Decadal mean regional hydrology. by Nic Gedney (19762301)

    Published 2024
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  8. 8
    Regional contemporary (1990–1999 mean) precipitation and JULES inundation fraction over the Amazon basin.

    Regional contemporary (1990–1999 mean) precipitation and JULES inundation fraction over the Amazon basin. by Nic Gedney (19762301)

    Published 2024
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  9. 9
    Changes in decadal precipitation and JULES inundation between 1990–1999 and 2089–2098.

    Changes in decadal precipitation and JULES inundation between 1990–1999 and 2089–2098. by Nic Gedney (19762301)

    Published 2024
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  10. 10
    The contemporary, long-term seasonality in inundation over the whole of the Amazon basin.

    The contemporary, long-term seasonality in inundation over the whole of the Amazon basin. by Nic Gedney (19762301)

    Published 2024
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  11. 11
    Percentage regional changes in decadal regional hydrology.

    Percentage regional changes in decadal regional hydrology. by Nic Gedney (19762301)

    Published 2024
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  12. 12
    Wetland classification scheme for the contemporary period.

    Wetland classification scheme for the contemporary period. by Nic Gedney (19762301)

    Published 2024
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  13. 13
    Wetlands over the lowland Amazon basin from the Hess product [19,20].

    Wetlands over the lowland Amazon basin from the Hess product [19,20]. by Nic Gedney (19762301)

    Published 2024
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  14. 14
    Decadal seasonality of the hydrological cycle over the wetland regions.

    Decadal seasonality of the hydrological cycle over the wetland regions. by Nic Gedney (19762301)

    Published 2024
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  15. 15
    Wetland classification using the ensemble simulations.

    Wetland classification using the ensemble simulations. by Nic Gedney (19762301)

    Published 2024
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  16. 16
    Probability of Cost-Effectiveness Across CET.

    Probability of Cost-Effectiveness Across CET. by Yiping An (20609789)

    Published 2025
    “…When the CET was relaxed to 0.90 times GDP per capita (US$11,284.476), the probability of cost-effectiveness for AOM after a 40% price reduction rose to 85.10%. Scenario analyses conducted over a time horizon extending from 10 to 30 years showed that the ICER decreased significantly with longer follow-up, gradually approaching the 0.51GDP threshold and remaining below the 0.90 GDP threshold throughout the analysis.…”
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  17. 17
    Base-case analysis.

    Base-case analysis. by Yiping An (20609789)

    Published 2025
    “…When the CET was relaxed to 0.90 times GDP per capita (US$11,284.476), the probability of cost-effectiveness for AOM after a 40% price reduction rose to 85.10%. Scenario analyses conducted over a time horizon extending from 10 to 30 years showed that the ICER decreased significantly with longer follow-up, gradually approaching the 0.51GDP threshold and remaining below the 0.90 GDP threshold throughout the analysis.…”
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  18. 18
    One-way sensitivity analysis.

    One-way sensitivity analysis. by Yiping An (20609789)

    Published 2025
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  19. 19
    Lecturers by gender.

    Lecturers by gender. by Ignacio García-Espona (21395335)

    Published 2025
    “…The COVID-19 pandemic resulted in a significant reduction in the number of poster presentations. …”
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  20. 20
    Thematic cloud for posters [2013-23].

    Thematic cloud for posters [2013-23]. by Ignacio García-Espona (21395335)

    Published 2025
    “…The COVID-19 pandemic resulted in a significant reduction in the number of poster presentations. …”
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