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By means of numerical modeling we determined gas exchange velocities and derived very low groundwater discharge rates (∼15% of streamflow).
Using analytical techniques such as multivariate regression and structural equation modeling, we determined which emotional motivators are most powerfully associated with customer behavior and customer value by category and by brand and the degree to which connecting to those motivators influences customer behavior, both in absolute terms and relative to more commonly measured drivers of behavior.
Using computational modeling, we determined the structural features and uniqueness of the 3D structure of the active sites and the NAD(P +-ring binding clefts of the members of the entire rice ALDH suP +-ringy.
Through statistical modeling, we determined that the best prediction of QoL scores can be achieved by integration of two simple values obtained from the 6MWT: DSP and BDSS at 6 min.
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Combined with numerical micromagnetic modeling, we determine the stability of the magnetization of these grains.
With computational modeling, we determine that these systems-level properties arise at a molecular level from the saturable occupancy response and the lateral dynamics of GABAA receptors.
By augmenting surface screening with data-driven modeling, we determine which properties of the surface topographies influence the morphological properties of the cells.
By applying ecological niche modeling we determine whether the two most divergent genetic groups of the túngara frog (1) inhabit different habitats, and (2) are separated geographically by unsuitable habitat across a gap in the distribution.
Using a stepwise regression model we determined the variables that best explained the jay density.
In our first study using these models we determined that Heliconius communal roosts strongly deter predation, thus suggesting that pattern frequency is an important parameter in defining the fitness benefits of wing patterns.
Adopting a power law threshold model, we determined cumulated event rainfall rainfall duration (ED) thresholds, at 5% exceedance probability, and their uncertainty.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com