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These simulations use a friction angle of 10° in the source zone and 26° along the runout path (Table 1).
The rheological values suggested by Golder Associates Ltd (1995) were initially used with a single combination of rheological parameters for the whole propagation path (Table 2: V-t1, V-t2, V-t3 and V-t4).
Keeping the same crossover and mutation rates, the cost of minimum hop count path is more than that of GA cost, and thus, the path selected through minimum hop count metric is not an optimal path (Table 22).
As for the previous rheologies, the first analyses used a single rheological value for the whole run-out path (Table 2: F-t1 with δ = 10°, F-t2 with δ = 8°, F-t3 with δ = 7°).
Although one of the aims of these analyses was to find the smallest number of different rheological values necessary to use in a single analysis, the T-t4 analysis was carried out by combining two values of Manning's coefficient: n = 0.04 from the triggering point to section 10, and n =0.12 in the remaining portion of the run-out path (Table 3).
For easier reading, they are set out following the phases of the INAIL methodological path (Table 2).
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Step 8: In case of intermediate node along this path, route table entry corresponding to destination is created or updated consequently.
By setting the statistical significance level at FDR q<0.05, we identified multiple gene sets over-represented among the detected molecular paths (Table S2).
BiNoM analysis functions also include classical path analysis algorithms, such as finding the shortest paths, the suboptimal shortest paths or all non self-intersecting paths (Table 3).
Horizontal abduction angles of all participants at 60˚, 90˚, and 120˚ of abduction differed statistically significantly along 4 paths (Table 2).
However, the model fit indices suggested that the cross-lagged model was superior to the model allowing simultaneous and bidirectional causal paths (Table 3).
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