The uniform distribution over known finite ranges is assumed for mutually independent stochastic variables existing in the functions of system matrices.
To address non-linearity, strong coupling and multi-variables existing in general electric-drive system, a simulating system of intelligent control of electric-drives has been designed, in which PID control, Fuzzy control, and neural control schemes are integrated.
Our findings support that variables existing prior to pregnancy range among those additional factors, mostly risk factors of gestational diabetes.
When we only included variables existing at clinical presentation in the model, the same characteristics, except for acute respiratory failure, were associated with GNBM.
The broad study aim was to detail the potentially modifiable, baseline "inner context variables" existing at the time of organisational change.
We have assessed that despite the domestication process occurred 11,000 years BP, sheep breeds showed some genetic footprints related to climatic variables existing in the regions where they are reared.
In our setting, however, occurrence of GOS has been found also depending on variables existing prior to pregnancy such as diabetes in family, hypertension in family, previous macrosomia, stillbirth, SGA and pre-eclampsia as well as overweight/obesity.
In our setting, however, occurrence of premature labor/delivery, premature rupture of membranes, small for gestational age, congenital anomalies and pregnancy induced‐hypertension has been found also depending on variables existing prior to pregnancy such as diabetes in family, hypertension in family, previous macrosomia, stillbirth, SGA and pre-eclampsia as well as overweight/obesity [ 10].
By focusing on these individual variables, existing studies assume that the decision to provide antenatal and tocolytic treatments is predominantly a clinical consideration, unrelated to organizational and health care market conditions that have been found in numerous studies to affect medical service use [ 19- 21].
In order to answer the research question, we generated a number of new variables from existing variables and recoded some variables.
Nevertheless, we can test the assumption of MCARm data against MAR data (Marchenko & Eddings, 2011a) by, for example, creating a new dummy variable for each existing variable, which takes the value of 1 if a given observation is missing that variable and of 0 if it is not.
