Sentence examples similar to varied classifications from inspiring English sources

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Differences were evident in the outcome measures, assessment points, and classification of whiplash associated disorder participants, where many trials combined whiplash associated disorder classifications even though interventions in practice would vary between classifications.

The main neuropathological features of Type II FCDs have been established since the original description by Taylor et al. [ 1], and so their classification has not varied in successive classification systems [ 2, 33].

As the instructions for the number of classification categories which could be assigned to each case varied across the classification, for consistency, the classification teams were asked to assign up to three categories for complicated cases.

Third, we did not perform subgroup analysis for different type of femoral neck fracture because the classifications varied from different studies including Garden [ 34], Pauwels [ 35] and Delbet [ 36] classification.

While parents' classifications varied significantly from the distribution in Australian norms – specifically, fewer children were categorized in the "normal" range and more in the "borderline" range - teacher and youth self-report ratings of these same children produced classifications that were not different to the norms.

Overall, the number of asthma ED visits varied across urbanicity classifications, which is consistent with the population distribution of the state (State of North Carolina 2011), with 70.5% of asthma ED visits occurring for patients living in Metro Urban, 19.5% in Non-Metro Urban, 7.7% in Less Urbanized, and 2.4% in Rural counties.

Although both categories contain terms with similar experimental paradigms (such as performance in different mazes), the reported results of the tests vary, warranting classification to two different categories.

Since it classifies edges categorically, many edges have similar scores that do not vary with classification accuracy; thus the ranking of clusters (based on their weighted-densities) does not correlate as well with their correctness, giving lower precision levels.

We also found that CCAE followed the same inpatient classification pattern exhibited in 2012 among years from 2006 to 2011, while Optum varied in this classification (notably in 2008, 2009, and 2010 the percent of records classified as inpatient only in the CDM were 11.77%, 19.12%, and 14.75% respectively instead of around 3-4% as we see in other years).

Secondly, this study discusses whether the system usefulness, ease of use, attitude toward using, behavior intention, and the satisfaction of actual use of digital learners to the digital learning system varied according to classification.

Kappa values (n = 15) for single image classification varied between 0.49 and 0.83, and the median was 0.64 (Table 2).

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