Sentence examples for explain and validate from inspiring English sources
The familiar central concern is the isolating power of interconnectivity, with Qohen wanting to be left alone in the universe, but needing a Matrix-like message (the connection is made explicitly in a dismissive joke) to explain and validate his (non)existence.
Although the classic orthotic paradigm of Merton L. Root and his colleagues is often acknowledged, the research attempting to explain and validate these mechanisms is far less clear in its appraisal.
What the expressivist seeks is a conception of propositions (and of truths, facts, and beliefs) substantive enough to explain and validate our ordinary realist-seeming discourse but deflationary enough to avoid the traditional problems for realism.
It is a heaviness comprised of both dread and a deep understanding that within these types of discussion, students of color have to explain and validate our lived experiences to classmates with whom we feel a deep cultural dissonance.
Further research is needed to explain and validate these results including larger sample sizes from the Eastern Cape and Mpumalanga.
Subsequent trials will be needed to pathophysiologically explain and validate the results of the present study.
The method is explained and validated numerically by applying it to a novel concept of underconstrained hybrid (serial/parallel) CDDR.
Its application in an industrial flotation process in order to estimate froth depth and gas hold-up without prior calibration under certain conditions is also explained and validated.
The WLAN cell capacity is forecasted using the multirate/multicodec (MR/MC) capacity index explained and validated in Section 5.1.
Meanwhile, they demand that black victimhood be endlessly explained and validated, even though the stories and voices of those who deal with racism on a daily basis are never enough to convince them it's real. .
By use of sensitivity analysis, the discriminating dependency of ANNs can be explained and validated against the expertise of clinicians and traditional statistical methods, such as MLR.
