Sentence examples for model of generalized from inspiring English sources
This finding is consistent with the metacognitive model of generalized anxiety disorder (Wells, 1995), in which positive metacognitive beliefs guide the selection of worry as an effective coping strategy, which, in turn, increases emotional distress.
This test is generally thought to be a model of generalized tonic-clonic seizure in human [19].
The model of generalized thermo-elastic plane waves under the effect of rotation is studied using the theory of thermo-elasticity recently proposed by Green and Lindsay.
The model of generalized thermoelasticity proposed by Green and Naghdi, is applied to study the electromagneto thermoelastic interactions in an infinite perfectly conducting body with a spherical cavity.
A new mathematical model of generalized vector quasiequilibrium problem with set-valued mappings is introduced, and several existence results of a solution for the generalized vector quasiequilibrium problem with and without -condensing mapping are shown.
Rainfall plus soil moisture at 10, 20, and 40 cm formed the input vector while the discharge was the target output in the model of generalized regression neural network (GRNN).
Recent models of generalized anxiety disorder (GAD) have expanded on Borkovec's avoidance theory by delineating emotion regulation deficits associated with the excessive worry characteristic of this disorder (see Behar, DiMarco, Hekler, Mohlman, & Staples, 2009).
The cirrhogenic ability of thioacetamide has been used to induce a model of chronic generalized liver disease that resembles the preneoplastic state of human fibrosis.
The proposed calculation of abnormality scores deviates from those proposed by Crawford and Garthwaite [87], [88] in two aspects: On the one hand, it is more general, as it extends the case of linear regression models to generalized linear mixed models.
This article considers the numerical solution of generalized transport models for adsorption that include the presence of finite local relaxation times.
Generally, the ability of a model to generalize to new populations and nominally unrelated individuals will depend on the trait architecture; for a finite, relatively small, number of training samples, the larger and fewer the genetic effects associated with a trait the easier it will be for a model to separate this predictive signal from other data structure.
