Current search targeted to:
1 - Measurement of double-thinking among university students.
2 - Identify the significant differences in the degrees of double-thinking members of the sample according to the variables of sex (male - female), specialty (I know - a human).
To achieve the objectives of the research chose researcher samples from the community of the first search for statistical analysis, has reached 400 students, and the second sample of the application of the final, has reached (480) students were selected randomly with simple check of equal value, and the researcher building a search tool double think, After the completion of the scale-building measures thinking double (34) paragraph, the researcher apply the measure to final application of sample size (480) students.
After statistical treatments of using the bag SPSS statistical research found the following results: -
1 - that college students have a double-thinking.
2 - that there is a difference in the level of double think depending on the sex variable in favor of females.
3 - There is no difference in the level of thinking dual variable depending on the specialty.
Accordingly, the researcher presented a set of recommendations and proposals, including:
1 - urged the Ministry of Higher Education and Scientific Research Department of the supervision and evaluation of activating the role of psychological counseling centers in all universities under the supervision of specialized cadres.
2 - urged academic institutions holding seminars and lectures through a strategy of preventive counseling, for the development of some unwanted behaviors, including double think.
3 - urged academic institutions attention to the activities and programs of social, cultural and sports in order to deepen the spirit of cooperation, tolerance and brotherhood among university students.
Transmission lines are generally subjected to faults, so it is advantageous to determine these faults as quickly as possible. This study uses an Artificial Neural Network technique to locate a fault as soon as it happens on the Doukan-Erbil of 132kv double Transmission lines network. CYME 7.1-Programming/Simulink utilized simulation to model the suggested network. A multilayer perceptron feed-forward artificial neural network with a back propagation learning algorithm is used for the intelligence locator's training, testing, assessment, and validation. Voltages and currents were applied as inputs during the neural network's training. The pre-fault and post-fault values determined the scaled values. The neural network's p
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Resu
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