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There were significant differences when classified according to GOLD and dyspnoea stages for selected dimensions only.
After stratification for MRC and GOLD classifications there were significant differences only for selected dimensions of fatigue.
In contrast to other authors [ 8] differences were found in fatigue according to GOLD staging, however these differences were specific for selected dimensions of fatigue only.
Statistically significant differences in fatigue when categorised according to the GOLD and MRC dyspnoea classifications were evident for selected dimensions of MFI 20 only (see figure 2 and figure 3).
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Fibers were recovered from digested lung tissue to determine changes in concentrations (fibers/mg dry lung) and fiber retentions (expressed as percent of day 1 retention [PR]) for selected dimension categories.
The free parameter for feature selection, that is, the number of selected dimensions Dfs should be cautiously fixed.
For MI selection, we present two results using two different numbers of selected dimensions because we find that when we carefully select useful dimensions (69,992 for VGG-16 and 40,000 for AlexNet), the accuracy may even improve while if we simply select a few dimension (4096 here) the performance drops violently.
In the following, for each cluster of dimensions described above, we provide definitions for some selected dimensions and examples of possible metrics.
After an extensive literature review (Appendix 1) we didactically selected dimensions for KNOA (Table 1), as follows: epidemiology of obesity in adolescence; clinical implications of obesity in adolescence; mapping obesity in adolescence; nutritional management for obese adolescents, and knowledge of fruit, vegetable, fat and sugar consumption, as described in Table 1.
The reason for that result could be the selected dimensions of the handrim and the lever.In this experiment we used a handrim with a radius of 266.7 mm and a lever which length was 420 mm, which gives a ratio between the moment arms 1 1.57 (420/266.7).
c f, Joint distribution of the selected dimensions of the distance vectors for the O state (c, e) and P state (d, f) training samples.
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