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Using these parameters, we constructed sedimentary seismic velocities, density, and the anelastic attenuation structure based on the procedure discussed in the previous section.
Second, after detailing the selection of ANNs architecture and the setting of relevant parameters, we constructed a multi-layer perception neural network model with back propagation learning algorithms to predict hypertension.
To investigate these parameters, we constructed an adenoviral vector encoding the myc epitope-tagged BMP-2 gene (AdBMP-2Myc).
In order to test whether the expression of the selected proteins correlates with clinico-pathological parameters, we constructed a tissue microarray.
In order to verify the models and better understand the parameters, we constructed a range or semirandom sequences using a random sequence generator (Kryukov K, unpublished data).
To take into account also these parameters, we constructed a null-model of the networks, obtained by randomly reshuffling the signs of the edges, while maintaining the same number of positive and negative edges of the original graph, see Supplementary Notes in Additional File 1 for more details.
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Next to visualize the effects of change in the shape parameters, we construct the monotonically increasing rational cubic FIFs in Figures 3 e - h).
Making use of a mechanism of simultaneous tuning for the parameters, we construct an optimized fuzzy inference system related to its structural as well as parametric optimization.
By developing tight bound estimations for varying parameters, we construct a set-valued map as the predicted family of future models.
To avoid the complexity of calculation in general cases for all values of parameters, we construct some conditions that stated problems in literature that were satisfied, and so they are logically acceptable for the application purpose.
In a specific asymptotic limit of the physical parameters, we construct critical points such that the wave function (order parameter) is localized near the boundary of the domain, and we determine a sharp localization of the boundary region where the wave function concentrates.
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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