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An analytical methodology has been developed and applied to experimental load deflection data of a model hyperelastic material and lyophilized ECM scaffolds.
A case study is performed to demonstrate the evaluation approach by using the water balance monitoring data of a model test on a silty soil cover reported in the literature.
The method was successfully applied to the microarray gene expression data of a model species - Saccharomyces cerevisiae - measured in multiple biological conditions, identifying a number of highly confident gene regulatory modules.
Besides the identification of known gene clusters in gene expression data of a model organism S. coelicolor, which confirm the capability of the method to identify known patterns, new genes similar to the template gene clusters were identified.
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This is in line with published data on a model of HMGB1-induced peritonitis [ 23].
It is necessary to perform a random generation of test data for a model.
Consequently, the transparency criterion 'model interaction' emphasizes the data exchange of a model with its environment.
Structural reliability is nowadays largely used to take into account uncertainties related to the input data of a structural model.
Bioscreen C with 10 × 10 layout multiwell plates was used and growth curves data were analyzed from fitted data of a logistic model.
Additive manufacturing (AM) is an approach in which a part is manufactured layer by layer from the data of a 3D model.
It is a quantity that bounds the surprise (negative log probability) of some (sensory) data, given a model of how those data were generated.
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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