The co-variates included in the final models, decided a priori, were age at enrollment (continuous variable), years of education (<10, 10 12, ≥13), number of children (0, 1 2, ≥3), age at first childbirth (<20, 20 24, 25 29, ≥30 years), BMI (<25, 25 29, ≥30 kg/m) and physical activity (sedentary, moderate, heavy).
The covariates included in the final models, decided a priori, were age at enrolment (continuous variable), duration of education (<10, 10 12, ≥13 years), number of children (0, 1 2, 3 4, ≥5), age at first childbirth (<20, 20 24, 25 29, ≥30 years), BMI (<25, 25 29, ≥30 kg/m) and level of physical activity (sedentary, moderate, heavy).
At stimulus end, the model decides 'Right' if a > Þ, the decision boundary, and 'Left' otherwise, where Þ is a free parameter.
At the beginning of each time slot, the channel model decides to transit to a new state, which can only be itself or one of its neighbor states, that is, from state to or.
It strictly controls activities executions based on a complete workflow model, decides the next steps based on output values produced by activities and, indeed, selects different execution branches with such values.
According to dispatcher model and power system model, scheduler model decides whether DET branches are generated.
The model decides to determine the strategic decisions as well as the tactical decisions.
Based on the trust value, the model decides how to react on the reported event.
It shows that the model decides to suffer more cost to prevent violating from the time windows.
First stage of the model decides the spare vehicle quantities, where the second stage model recovers the scrambled sequence respect to pre-defined rules.
