Objectives: This study aims to assess the quality of life of cerebral palsy children less than 12 years old reported by
parents in Erbil city/Iraq.
Methodology: A descriptive study was conducted during 2014, to describe the quality of life of cerebral palsy
children. One hundred mothers have cerebral palsy children were participated in this study. The study took place at
Helena Center for handicapped children in Erbil City. Questionnaire was used to collect data, which consists of two
main parts. The first part is divided into two sections; section one was described the mothers’ demographic
characteristics, while the second section was for identifying the demographical characteristics of cerebral palsy
children. The inventory trademark" (PedsQLTM) 3.0 (parents' reports) was used in second part of the questionnaire.
Statistical Package for Social Science (SPSS) version 18 was used to analyze date. Chi-squared test was applied to
find out the association and significance.
Results: Most of the mothers were from low socioeconomic status, living in urban areas and aged between 28-37
years old. Majority of cerebral palsy children were male, aged between 2 - 4 and diagnosed with spastic type. The
significant associations were found between types of cerebral palsy and daily activities, pain and hurt, speech and
communication and eating and activities respectively at p-value 0.032, 0.000, 0.011, and 0.014.
Recommendations: The study recommended special health educational programs for mothers to improve the quality
of life of their cerebral palsy children
This article proposes a new technique for determining the rate of contamination. First, a generative adversarial neural network (ANN) parallel processing technique is constructed and trained using real and secret images. Then, after the model is stabilized, the real image is passed to the generator. Finally, the generator creates an image that is visually similar to the secret image, thus achieving the same effect as the secret image transmission. Experimental results show that this technique has a good effect on the security of secret information transmission and increases the capacity of information hiding. The metric signal of noise, a structural similarity index measure, was used to determine the success of colour image-hiding t
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The holy city of Najaf is a vital space that helps to bring people together within a particular context, thus strengthening intellectual communication, community participation and increasing opportunities to learn about different cultures
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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