Seven factors were identified as the CSFs for managing C&D waste: (1) WM regulations, (2) waste management system (WMS), (3) awareness of C&D WM, (4) low-waste building technologies, (5) fewer design changes, (6) research and development in WM, and (7) vocational training in WM.
It is calculated as follows: (SSB - [N - 1] WMS)/(SST + WMS).
The irradiance measured at a wavelength of 420 nm was 1 Wm-2 (approximately 0.4 Wm-2 at 340 nm); samples PU2 and PU4 were protected from the light using an additional UV filter.
We call this approximation to the WM-MOGA using fitness functions f CORR, f ⋅ - 1 WM-MOGACORR.
There are no cases of female-only mutants (Table 3 column WF > 1, WM = 1).
As well as these network features, recruitment of mutants is most likely when they are favored in both sexes (WF, WM > 1), or are favored in one sex but do not segregate in the other (WF > 1, WM = 1 or WF = 1, WM > 1, Table 3).
The source table from the one-way ANOVA was used to calculate the following indices: (1) interclass correlation ICC (1) = (BMS - WMS)/(BMS + [K - 1] WMS), where BMS is the between-group mean square, WMS is the within-group mean square, and K is the number of subjects per group.
It is calculated as follows: (BMS - WMS)/(BMS + [K - 1] WMS), where BMS is the between-group mean square, WMS is the within-group mean square, and K is the number of subjects per group.
Many models, such as AGNPS (Young et al. 1989), TR-55, TR-20, HIC-1, WMS, and HIC-HMS adopt SCS-CN method for runoff calculation.
The average K for unequal group size was calculated as K = (1/[N - 1]) (ΣK - [ΣK/ΣK]); 2. ICC(2) = (BMS - WMS)/BMS; 3. η2 = SSB/SST, where SSB is the sum of squares between groups and SST is the sum of squares total; and 4. ω2 = (SSB - [N - 1] WMS)/(SST + WMS).
F = test statistic from one-way analysis of variance (ANOVA) The source table from ANOVA was used to calculate Interclass correlation 1 (ICC 1), Interclass correlation 2 (ICC 2), Eta Square, and Omega Square as follows: 1. ICC(1) = (BMS - WMS)/(BMS + [K - 1] WMS), where BMS is the between-group mean square, WMS is the within-group mean square, and K is the number of subjects per group.
