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
إدارة المخاطر في الوحدات الإقتصادية الصناعية بإستعمال مخطط باريتو
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There are many methods of searching large amount of data to find one particular piece of information. Such as find name of person in record of mobile. Certain methods of organizing data make the search process more efficient the objective of these methods is to find the element with least cost (least time). Binary search algorithm is faster than sequential and other commonly used search algorithms. This research develops binary search algorithm by using new structure called Triple, structure in this structure data are represented as triple. It consists of three locations (1-Top, 2-Left, and 3-Right) Binary search algorithm divide the search interval in half, this process makes the maximum number of comparisons (Average case com
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