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The model patterns were presented within the box at the model area.
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The common feature of both model patterns is the presence of the negative disturbances in the northern and southern polar caps and the positive disturbances at equator.
These model patterns are compared to the convection predicted by mapping the magnetopause electric field to the ionosphere using the Moscow State University's (MSU) paraboloid model of the magnetosphere.
Thus, each time-series profile is represented as the sum of sine waves with various phases and amplitudes, and the magnitudes of the contributing model patterns are a unique "footprint" for each profile.
The model pattern was shifted in time to find the phase at which the sum of squares of residuals was minimized.
A common modelling pattern is the use of matrices of decision variables.
When considering the results from best-fit models or from the 95% CI set of models, several patterns were discerned.
In all Cox models, diet patterns were analyzed in quartiles (with the lowest quartile serving as the referent group) and on a continuous scale.
Compact and comprehensible presentations for probabilistic amplification models, amplification patterns, were extracted using maximal frequent itemset mining (see sub-section of methods entitled "Finite descriptions for continuous DNA copy number amplification models" for details).
In the lung model tested, respiratory patterns were fixed, even though different mechanical settings of the lung model were used.
In this model, cell migration patterns were in agreement with experimental results performed with CXCR4−/− and CCR9−/− knockout mice.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com