Sentence examples for models has often from inspiring English sources

However, evaluation of such models has often been very limited due to the lack of necessary field data.

So far, extremity ischemia and subsequent neovascularization-guided perfusion recovery in animal models has often been evaluated by predominantly anatomic (MRI), invasive (angiography), or limited (LDPI) techniques.

The performance of LR models has often been compared to that of BL classifiers in discrimination problems.

Distinguishing between purely selective and purely demographic models has often relied on the inference that because population bottlenecks affect the entire genome, this demographic event should systematically reduce variation at a genomic scale.

Recent models have often been tepid reinterpretations of existing (and cheaper) Ford-badged alternatives.

Since the seventies these models have often been solved with spectral methods.

Although pore-flow models have often been applied to describe membrane performance, it is difficult to obtain some key parameters, including the transport-active pore size distribution, which is a governing characteristic in determining the selectivity.

Generalized models have often been used without consideration of the tree age or plantation age.

Physiologically inspired macroscopic brain models (for example neural mass and neural field models) have often been employed to investigate the causes of epilepsy and seizures [3 8].

Such models have often had to rely upon informed guesses for parameters describing the soil moisture and air temperature growth response functions.

Random graph models have often been used in order to model networks, and manage to reproduce some observations from real-world networks, such as the small diameter and the presence of a giant component, such as observed on mobile datasets.