Sentence examples for model functioning with from inspiring English sources

Exact(3)

Based on this application, recommendations for participation improvement and model acceptance are made: (1) build a partnership with a key local stakeholder; (2) describe and discuss precisely model functioning with stakeholders (avoid the "black box"); and (3) facilitate interpretation of scenario assessment by adapting model outputs.

Based on this model, functioning, with its components 'Body Functions', 'Body Structures' and 'Activities and Participation', is seen in relation to the health condition under consideration, as well as 'Personal Factors' and 'Environmental Factors' [ 17].

Based on this model, functioning, with its components Body Functions and Structures and Activities and Participation, is seen in relation to the health condition under consideration, as well as personal and environmental factors (Fig. 1)[ 11].

Similar(57)

Sphere model function with polydispersity as a model fitting function was used.

The objective function is a sum-of-squares of residuals that contain Eq. (7) as the model function with model output parameters.

Accordingly, we set up a model function with four spin-orbit pairs as well as a power-law background and a plasmon- or gap-excitation-energy loss tail.

The SECS method involves setting up a matrix of current elements, fitting a geomagnetic model function, with the currents as linear output parameters, to known geomagnetic measurements at selected observatories in this region, using any decomposition inversion technique.

The ICF is multidimensional model of functioning with activities and participation as the key construct.

The International Classification for Child and Youth (ICF-CY) is a multidimensional model of functioning with participation as the key construct [ 16, 17].

Using a nonparametric machine learning technique called LACKI, the estimated (possibly nonlinear) model function together with an estimation of Holder constant is provided.

The idea is to compare measured data with predicted model function values and to minimize the differences over the whole parameter space.

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