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As preliminaries, in this section, we present the basic assumptions and the definition of weak solutions.
In Section 2, we introduce some basic assumptions and the definition of weak solutions.
The simulation results are in good agreement with corresponding measurement data confirming the basic assumptions and the modelling approach.
Particular attention is paid to the basic assumptions and the performance of the models as compared to the present knowledge of composition and phase equilibrium of asphaltenes.
But because vector-pathogen dynamics differ substantially between systems, basic assumptions and the biological plausibility of interventions must be re-examined for each model.
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What logical positivism recommended positively, on the other hand, was a logic and methodology of the basic assumptions and of the validation procedures of knowledge and of evaluation.
Preliminary computational results prove the correctness of basic assumptions and indicate the direction of further research.
In Section 1.2, we introduce the signal model and basic assumptions and state the problem at hand.
A rough sketch of an economy is given as well as the basic assumptions and structure of the model, to facilitate the understanding of the general thrust of the paper.
The derivation, previously unreported, illustrated the basic assumptions and limitations of the conductivity method.
Furthermore, an introductory overview of the simulation code is given, particularly focusing on the model structure, the basic assumptions and limitations of applicability, the discretization technique as well as the formulation and the solution of the differential equation system.
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CEO of Professional Science Editing for Scientists @ prosciediting.com