Sentence examples for considered all characteristics from inspiring English sources

Thus, the 'other important contextual information' construct was developed to ensure the researchers have considered all characteristics of contextual information in their research proposal, particularly those that affect the generalizability to other sites.

We considered all the organisational characteristics presented in Table  1 in the pair-matching process.

This approach, however may not consider all characteristics of EPC.

This model can be used to calculate q values from the basic fatigue resistances of the material, its fatigue limit and its crack propagation threshold, considering all the characteristics of the notch geometry and of the loading.

DT is based on the rules which are created precisely and strongly by considering all the characteristics of the variables which can enhance the performance of the flood susceptibility mapping.

Considering all these characteristics, we can state that the JASMIN non-native dialogues are similar to the speech we will encounter in our CALL application for various reasons: they contain answers to relatively constrained questions, they contain semispontaneous speech, of non-natives with different L1s, which features spontaneous phenomena such as filled pauses and disfluencies.

Unlike previous methods, cladistics attempts to consider all the characteristics of an organism, rather than those subjectively chosen as most important.

Considering all the characteristics of our samples and our genotyping success rate, it is unlikely that we obtained our results because of selection bias (including poor ascertainment of the phenotypes) or information bias (including genotyping errors), or due to an unadjusted known confounder or type I and II errors.

This approach, however, does not consider all the characteristics of EPCs and cannot distinguish eEPCs from late ones.

Therefore it is important to consider all these characteristics for possible interventions during training as well as analysis of training data.

Another possibility is that we did not consider all the discriminative characteristics allowing to detect true differences between those three questionnaires.