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Our methods illustrate the importance of adopting a standards-based approach of using metadata declarations to increase access to and discoverability of repository-based data.
Our methods illustrate the utility of combining lidar and multispectral imagery and can guide decisions about spatial resolution of analysis for understanding and documenting impacts of these forest disturbances.
Together, our models and analysis methods illustrate the importance of developing fast, cost-effective, and reproducible methods to model complex human systems in a physiologically-relevant manner that may prove useful for drug screening efforts in the future.
Our methods illustrate the degree to which the bottleneck size can affect the expected genetic distance between individuals and may potentially be used to assess whether a strict bottleneck is a realistic assumption.
The statistical methods illustrate the use of a randomization model-based approach to testing the statistical significance of the partial correlation between blood lead level and diastolic blood pressure, adjusting for age, body mass index, and the 64 sampling sites.
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The comparison of the proposed game with traditional methods illustrates the superior performance.
Comparison with the other two state-of-art methods illustrates the effectiveness of our approach.
The layout of the network, whose topology shows the clustered-structure of a graph (Methods), illustrates the stratification of metabolites into biochemical groups.
The analytical solutions acquired by the present method illustrate the approach is easy to implement and computationally very interesting.
These fundamental limitations of a semiempirical method illustrate the need for a more detailed method to investigate the three-phase separation phenomena.
Our results, based on a more accurate method, illustrate the importance of using individual data.
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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