Showing 1 - 20 results of 69,949 for search '(((( i largest decrease ) OR ( ((_ larger) OR (a large)) decrease ))) OR ( i values increased ))', query time: 1.54s Refine Results
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    Example of predicted effects of choice bundling on preference for larger, later rewards (LLRs) over smaller, sooner rewards (SSRs). by Jeffrey S. Stein (11689918)

    Published 2021
    “…The graph to the right illustrates how the discounted values (<i>V</i>) of both the LLR and SSR decrease with increasing delay in accord with <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0259830#pone.0259830.e001" target="_blank">Eq 1</a> (<i>k</i> = 0.003, as in Panel A). …”
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    Largest twenty coefficients by absolute value as defined by logistic regression. by Roshan Karri (11060943)

    Published 2022
    “…<p>These represent the model’s weighting of the variable of interest on the outcome (whether or not invasive ventilation will be required by day 2 or 3 of ICU admission). Positive values signify that as variable increases, the risk of requiring invasive ventilation increases. …”
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    Geographical distribution of large cities and small cities. by Saul Estrin (8629173)

    Published 2024
    “…The Figure reveals two patterns: 1) the maximum level of innovation is higher in large cities (2.53) than in small cities (2.02); 2) among large cities in <b>a</b>, innovation levels in general decrease with nightlight density. …”
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    Scheme of g-λ model with larger values λ. by Zhanfeng Fan (20390992)

    Published 2024
    “…The stiffness transmission coefficient rises while the stiffness reflection coefficient drops with the increasing joint closure. And if the value of λ assumes larger values, the distortion in the shape of the transmitted wave is associated with the plastic deformation in the uncoupled rock mass. …”
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    Moran’s I value, Z value and P value of CCD-GFEE. by Dalai Ma (17847101)

    Published 2025
    “…Within them, the CCD of Chengdu is the highest, Chongqing has achieved the largest stage leap. (4) The global Moran’s I consistently remained positive and exhibited a tendency of initially rising and subsequently falling, indicating that the spatial aggregation effect of CCD-GFEE first increased and then decreased. (5) The CCD-GFEE driving factors are examined using the spatial econometric model, and it has been observed that the impact of population size and government intervention on CCD-GFEE is negative, while the impact of industrial structure, technological progress and economic level on the coupling and coordination of CCD-GFEE is positive. …”
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