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In the present paper, an analytic expression of POD is developed for a class of processes, which includes models usually adopted to represent the atmospheric turbulence.
The results of our measurement can be explained in the framework of the theoretical models usually adopted for describing typical radiators, providing geometrical constraints on their structure.
To further prove the model reliability, numerical predictions of the load mean strain relationship are compared to previously reported experimental data on FRP RC tensile elements and predictions furnished by the models usually adopted for the analysis of FRP reinforced concrete structures.
Standard single-level models, usually adopted in these studies, treat all hospitalizations as independent observations.
Unfortunately, the existing standard single-level models, usually adopted in outcome studies, treat all patients as independent observations and ignore that they are grouped within hospitals.
Standard single-level models, usually adopted in these kinds of studies, treat all patients as independent observations, when developing the risk-adjustment equation.
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It is shown that the proposed Birnbaum-Saunders based model, in which both scale and shape parameters depend on the stress conditions, fits the considered data better than the model usually adopted in the literature.
In the first step, a simplified structural model, usually adopted by bridge designers, is employed aiming to locate the global optimum region and provide a starting point to the local search.
In those oceans where measured wave data are not available, numerical wave models are usually adopted to hindcast wave parameters in order to define design waves for marine structures.
Surgical models are usually adopted to study the drug effect on the disease process (Lampropoulou-Adamidou et al. 2014).
Fuzzy models within the framework of orthonormal basis functions (OBF fuzzy models) have been introduced in previous works and shown to be a very promising approach to the areas of nonlinear system identification and control, since they exhibit several advantages over those dynamic model topologies usually adopted in the literature.
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