Sentence examples for more robust interpretation from inspiring English sources

"Some primates would give it a more robust interpretation, some less so," Archbishop Williams said of the directive.

He argues for shorter copyright terms, and for a more robust interpretation of fair use of relatively minor amounts of a copyrighted work.

This will allow for a far more robust interpretation of the resulting characterisation of the dynamic properties.

Yet, with a more robust interpretation of its mandate and with more cash and troops, it should be able to do more to help the millions on the verge of famine, death and despair.

Hence, we conclude that alternative measures of technical change permit the exploration of different dimensions of the same dependence and help a more robust interpretation of the benchmark results.19.19

These results demonstrate the need to define more robust interpretation criteria than those currently in use. Figure 1 [ 18 F]choline PET (a) and [ 18 F]choline PET/CT (b) of axial section of pelvis.

Future studies of mobility based on oxygen isotopic measures of ancient human tooth and bone should include measures of both meteoric water and a diverse range of surface and groundwater to develop more robust interpretations of oxygen isotopic values in ancient human tissue.

More appropriate and adaptable health services for migrant populations clearly require more robust interpretations of the dynamics and characteristics of the relevant populations.

This suggested that broader empirical frameworks, examining the socio-economic and cultural landscapes in which healthcare is situated and sought from a range of stakeholder perspectives could potentially provide more robust interpretations of complex health problems.

The integration of heterogeneous sensors can provide complementary and redundant information that when fused to visual cues allows the system to obtain an enriched and more robust scene interpretation.

Considering this, within channel and treatment normalization approaches do not only enable a more robust data interpretation, but since for many applications the individual values themselves do not need to be comparable, they are also sufficient.