Sentence examples for data are highlighted from inspiring English sources

At each stage the problems inherent in fitting mathematical models to experimental data are highlighted.

Subsequently, the assumptions and characteristics that best predicts the experimental data are highlighted.

Considerations for future trial designs, registries, and analyses of existing data are highlighted to better guide clinicians toward the optimal management of this rapidly growing, high-risk group.

Improvement in sampling, data validity and reliability are documented over the course of the research program, the advantages of patient-level data are highlighted.

Whereas lack of support and interest does not appear to be a major obstacle to using accessibility metrics, lack of knowledge and data are highlighted as the main barriers to the use of metrics in practice.

Features related to limitations in the quality, and thus interpretation of these data, are highlighted below.

Remaining discrepancies of the modelling and reconciled experimental data were highlighted.

The complex and sensitive handling of data is highlighted by an example.

The importance of informatics to design experiments and capture and analyze data is highlighted.

The importance of ignition source energy in determining LOC data is highlighted.

Our results demonstrate the effectiveness of RF as a machine learning and data mining approach; however, the need for reliable training data was highlighted by less reliable results for polygon disaggregation in portions of the map where fewer training data points could be established.