I noticed a researcher while working in the kindergarten that there is a group of
parameters resort to the use of different methods may be some undesirable and some
undesirable So felt researcher detection methods used parameters Riyadh in the face of the
pressures of life, being engaged in kindergarten eligibility, governmental or being married or
unmarried, as well as educational attainment for this parameter.
To achieve the objectives of the research: -
The researcher prepare a scale methods face the pressures of life of the parameters
have been confirmed the veracity of the paragraphs of the scale of the presentation to a group
of experts in this area, and extracted power discriminatory clauses scale and extracted stability
of each style, and the scale of the five methods (Calendar positive (5) vertebrae, avoid and
escape from (17), paragraph, accept responsibility (6) vertebrae, resorting to religion (9)
vertebrae, withdrawal (7) paragraphs).
After processing the data statistically research found the following results:
1- That Riyadh parameters using all the pressures of life styles.
2 - The Riyadh parameters of married and unmarried women using the withdrawal method and
parameters using a method married escape and avoidance problem more parameters unmarried
women.
3 - that Riyadh parameters using all five methods, according to the specialization variable
4 - The civil kindergarten teachers more commonly used method of escape and avoid the problem of
parameters Riyadh-governmental organizations.
The efficiency evaluation of the railway lines performance is done through a set of indicators and criteria, the most important are transport density, the productivity of enrollee, passenger vehicle production, the productivity of freight wagon, and the productivity of locomotives. This study includes an attempt to calculate the most important of these indicators which transport density index from productivity during the four indicators, using artificial neural network technology. Two neural networks software are used in this study, (Simulnet) and (Neuframe), the results of second program has been adopted. Training results and test to the neural network data used in the study, which are obtained from the international in
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