The slow control system controls/monitors about 6000 variables from different physical devices via a distributed architecture, which uses intensively the 1-wire® bus.
Center of pressure postural sway variables from different balance testing conditions and reach distances from SEBT, were analyzed using a 2 STD-MIN) x 2 STD-MINT) repeated measures analysis of variance.
An optimization method integrating modified particle swarm optimization algorithm and Kriging surrogate model is employed to find the optimal combination of continuous and discrete design variables from different scales.
From these aspect it is observed that factors resulted from analysis of 4 principal components particularly factor 3 and 4 composed of variables from different categories of data and it makes factor 3 and 4 difficult to interpret and relate with real socio-economic data categories.
We included a large number of variables from different sources and at different levels.
This is a collection of variables from different population registers linked individually.
Unpaired t-test was used to compare variables from different groups.
In addition, multiple informants were involved to assess these variables from different perspectives and in different milieus.
Because of expected missing data for different variables from different studies, only simple meta-regression was planned and performed.
Because missing data for different variables from different studies was expected, only simple meta-regression was planned and performed.
