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To assess the impact of interactions between the experimental operational variables on removal performances of FTW, different approaches of statistical analysis were applied.
Here we present a modeling framework based on cellular automata and mimicking approaches of statistical mechanics for understanding how secrete-and-sense cells with bistable gene expression, from disordered beginnings, can become spatially ordered by communicating through rapidly diffusing molecules.
At the same time this prevents from a straightforward use of classical approaches of statistical modeling and data analysis.
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A dual approach of statistical optimization of hydrolysis followed by application of sonication at optimum conditions has been adopted.
The approach of statistical analysis was structured in the style of an unpublished manuscript written by Burke et al. (in preparation).
Our approach is a potentially more insightful alternative for catchment-scale climate impacts assessments than the common approach of statistical downscaling and bias correction.
This study applied a mixed-methods approach of statistical and spatial analyses of survey data from a theme park in China, to determine how attraction and spatial layout attributes affect theme park visitor movement.
The approach consists of statistical analysis of Dutch households, a monitoring campaign in the area of study and co-creation research through mock-ups, enactments and interviews.
In Section 5.4, we give a brief overview of the challenges and current approaches for statistical interpretation of barcodes.
In particular, it is important to develop approaches for statistical analysis of persistent homology.
For this purpose, several approaches make use of statistical methods or machine learning algorithms.
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