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Although the discriminant function was optimized to provide the best classification of patients within the two grading groups, there was considerable overlap between patients in the two grading groups.
For this, different grading groups were separately analysed with regard to DSS and YB-1 protein expression.
These grading groups were used in the discriminant analyses for nuclei in field 1 (80 patients), field 2 (79 patients), and overall pooled across both fields (80 patients).
The analysis of variance in URI, R, Rbone between grading groups were performed using One-way ANOVA and LSD post-hoc tests.
The effects of the discriminant classification function [0.9899 × (sum density) - 0.658 × (diagonal moment) - 0.43424 × (product moment) + 2.53292] are shown visually in Figure 1, with the distribution of patient values within each of the two nuclear grading groups.
It should be noted, that nuclear and cytoplasmic YB-1 expression in the high and low grading groups G3 vs G1 has not shown statistically significant correlation with DSS.
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Grading group work assessments so that students perceive the grade to be fair to all group members is sometimes challenging.
The percentage of aggregates positive for each factor within each grading group was calculated.
Table 2 indicates the accuracy of image analysis classification by nuclear grading group.
Girls also formed age-grade groups.
After dividing children into higher (grades 4 6) and lower (grade 1 3) grade groups, the effectiveness of vaccination became greater in the lower grade group, and the effectiveness of wearing masks became greater in the higher grade group.
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