Sentence examples for approaches can be explained from inspiring English sources

I argue that the key problems of the dominant survey approaches can be explained more specifically by their ambition to measure individuals' (maximum) willingness to pay (WTP).

Part III then considers the extent to which these different approaches can be explained by i) domestic law and legal norms; ii) different discourses on integration; iii) the connection between national and supranational forms of belonging and identity; and iv) the relationship between citizenship and immigration policy.

The results obtained using these three different approaches can be explained as follows:  The classic (not informed) result is obtained using the reassignment estimator and uses a bitrate equal to 0 kbps.

This disparity between approaches can be explained by a sensitivity analysis of the model.

The difference between the analytic approaches can be explained by the fact that about one-third of the clients discontinued the intervention before completing the programme.

Inconsistencies between cytometric analysis and growth based approaches can be explained by the existence of metabolically active but noncultivable cells (VNBC) in a cell culture [ 58, 59].

The increasing performance of the FieldScreen and 2SHA approach can be explained by the ability to perform "scaffold-hoppings".

That Howard tended to a more laissez-faire model of how this was to be achieved - the garden city acting as a magnetic attractor by its obvious virtues alone - while Le Corbusier saw the need for a firmly dirigiste, top-down approach, can be explained in part by national temperament, in part by cultural experience.

Logical means that the approach can be explained simply and that it has an interlocking and memorable internal consistency.

The better performance of this approach can be explained by the morphology of figure 10 showing how sensitive cells are kept at a higher proportion if compared to resistant cells.

The superior performance of the hybrid approach can be explained by the performance differences of the individual models in identifying similarities with different structural features (e.g. global or local similarities).