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Showing 1 - 4 results of 4 for search '(( significantly ((greater decrease) OR (linear decrease)) ) OR ( significant economic decrease ))~', query time: 0.41s Refine Results
  1. 1
    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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  2. 2
    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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  3. 3
    Innovation and night light in large and small cities.

    Innovation and night light in large and small cities. by Saul Estrin (8629173)

    Published 2024
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  4. 4
    Table 1_Pre-COVID era pediatric disease incidence in Kazakhstan: regional panel data analysis of multiple disease groups (2010–2019).xlsx

    Table 1_Pre-COVID era pediatric disease incidence in Kazakhstan: regional panel data analysis of multiple disease groups (2010–2019).xlsx by Nurlan Smagulov (21510632)

    Published 2025
    “…</p>Methods<p>Panel data from 14 regions were analyzed using linear mixed models with autoregressive covariance to address regional and temporal heterogeneity. …”
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