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Based on this statistical modeling, we propose to use a chance-constrained programming approach to design a distributed beamforming algorithm.
Using mathematical modeling, we propose that the observed population-level dynamics are the result of cells transitioning between basins of attraction within a drug-modified phenotypic landscape.
For this modeling, we propose to learn a relationship between representative measures of the properties and the assessments given by human subjects.
Extending from ecosystem services (ESs) modeling, we propose a simple and feasible framework for quantitatively assessing the benefits and equilibrium of the consequences of the GFGP.
After reviewing available modeling, we propose to interpret these results in terms of a recent picture for polymer glasses under large deformation that envision a chain networked embedded in a glassy matrix.
From a combination of bulk measurements, single-molecule fluorescence characterization, and modeling, we propose the two fluorescence bands originate from differing conditions of exciton delocalization and localization realized in the mutant.
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The mathematical modeling we proposed can identify these two curves, their intercept and the slope of the second curve.
Based on our EM model, we propose a model for the domain arrangement of LRRK2 and LRRK1, showing antiparallel dimers with suggested domains extending beyond the dimer core (Fig. 8).
To fully explore the potential of neural models, we propose a methodology for collecting a large corpus1 of regular expression, natural language pairs.
Given this model, we propose an efficient algorithm for finding reconstructions and illustrate how it strikes a balance between efficiency and the quality of the produced results.
The model we propose extends current models by taking congestion effects into account.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com