Sentence examples for conceptual challenges have from inspiring English sources

Information on the impact of oral health on quality of life of children younger than 8 years is mostly based on parental reports, as methodological and conceptual challenges have hindered the development of relevant validated self-reported measures.

However, a number of conceptual and methodological challenges have made it difficult for interoceptive constructs to be broadly applied in mental health research and treatment settings.

So far some of the challenges have been the changing priorities and balancing out short term urgencies against the long term conceptual work.

The method may especially be superior for detection of ancient HGT events but poses several technical and conceptual challenges that we have also attempted to address or highlight in this study.

Regardless of these conceptual considerations, developing clinical applications based on cancer stem cell concepts is still an ongoing effort that, despite numerous challenges, has tremendous promise.

Final assessment, while indicating a high level of mastery on the inquiry task, showed progress but continuing conceptual challenges on the multivariable prediction task having to do with understanding of variables, variable levels, and consistency of a variable's operation across occasions.

For example, a recent analysis [ 1] concluded that developments in BI have been driven largely by availability of technologies and data, and rarely by important and exciting conceptual challenges and theoretical predictions.

Until very recently, there has been no self-report measure for children under age 8 because of the methodological and conceptual challenges of developing OHRQoL measures for young children [ 12].

This is doubtless due to both methodological and conceptual challenges.

Genetic drift seems to be particularly difficult to learn because it combines the conceptual challenges of evolution with the conceptual challenges of understanding randomness.

Recent advances in genome sequencing have greatly facilitated the genotyping and discovery of mutations in affected individuals, but establishing the causal relationships between molecules and disease phenotypes is non-trivial and presents both technical and conceptual challenges.