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Data were explored initially using basic frequencies for categorical data and means for continuous data.
Data were explored for normality by checking data distribution and histograms, calculating mean and median values, and finally using Kolmogorov-Smirnov and Shapiro-Wilk tests of normality.
Themes emerging from these data were explored by in-depth interviews with a sample of 18 childcare providers and 7 Local Authority Early Years Service staff.
The full dataset, at different stages of post-processing, as well as subsets of the data were explored, until the research question could be answered in an satisfying way.
Numerical data were explored for normality by checking the data distribution, calculating the mean and median values, evaluating histograms and normality curves, and using Kolmogorov Smirnov and Shapiro Wilk tests.
FRAP data were explored by mathematical modeling to estimate steady-state reaction parameters.
Publically available microarray data were explored using the Oncomine database [21].
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Finally, optimum condition for acceptable and repeatable agreement among experimental and real data was explored.
In particular the application of data-driven approaches as well as process models supported by video data are explored.
The use of silver standard corpora as training data was explored for the implementation of chunkers of biomedical text [50] and NER systems [51].
Due to this disparity observed in Table 3, it is advisable the space of feasible solutions with any set of input data be explored.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com