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In addition, the numerical data has been formulated into a set of fully-normalised trends.
Recently, the dual problem of minimizing transmission duration of a given amount of data has been formulated with a model where energy gets "harvested" or replenished at certain known instants [6].
A novel turbulent atomization model, which is physically closed itself and free of case-by-case parameter tuning using experimental data, has been formulated and demonstrated in the framework of turbulent spray combustion large-eddy simulation (LES).
Nevertheless, no clear interpretation of existing data has been formulated yet in terms of an alternating-access proton transport mechanism, which is a necessary condition for the transporter to harness the energy stored in the transmembrane electrochemical gradient.
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Given the nature of the data, the model has been formulated as zero-inflated log-normal, incorporating random components to carry out with the observed lack of independence.
Thus, a novel Rough-Set-based data mining strategy has been formulated to resolve the inconsistency in a distance protective relay's decision system (i.e. a transformed relay event report) in such a way that the relay's timing characteristics hidden in its decision algorithm of protection operations have been successfully discovered.
It should be also admitted that the optimal data rate ( {r}_i^(t) ) has been formulated as a fixed and unique value in (38) by using auxiliary variable Y i (t) in (37).
This approach is therefore useful for biologists to identify gaps between the hypothesized mechanistic description of a pathway of interest, and the experimental data on which the hypothesis has been formulated.
Then, a generalized correlation among the dimensionless groups has been formulated by multiple regression analysis using the data from the present experimental results.
The model has been formulated as a multi objective linear programming model where data are modeled by triangular fuzzy numbers.
Sequentially, the methodology has been formulated, to incorporate wettability variations effects in experimental relative permeability data.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com