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Both the PRT and MLPA exon 1 systems demonstrated clear grouping of measures, consistent with integer clustering.
As shown in Figure 1, in the original audit HoNOSCA and C-GAS were the most common combination of measures, whereas in the re-audit, HoNOSCA, SDQ, and C-GAS were the most common grouping of measures, with this combination appearing in over half of all case notes.
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First, controlling for the influence of FSIQ in analyses of covariance did not affect our conclusions regarding the effect of group on measures of metacognition.
The condition is represented by a group of measures and a group of thresholds, which are relevant to user requirements or real applications.
The drug, AGI-1067, which is being developed in partnership with the drug maker AstraZeneca, failed to meet the goal of a closely watched 6,100-patient 6,100-patientcombined a group of measures intrialcomposite benchmark for success or failure.
Finally, the groups of measures are evaluated and classified into three levels of high, medium, and low importance with respect to their effects on buildings energy-performance.
By demonstrating that groups of measures are just particular instantiations of parameterized functions, we unify a large number of state-of-the-art semantic similarity measures through common expressions.
We find that, although region-to-region correlations are extensively modulated by structural and connectomic measures, there are appreciable differences in how these two groups of measures drive inter-regional correlation patterns.
Each group of measures characterizes the health state of a subject from different aspects.
The second group of measures and technologies consists of those with low (positive) cost and high potential.
This type of data is named as multi-view data, and each group of measures form a distinct view quantifying subjects in one specific feature space.
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