Objective: The study aims to assess the knowledge and practices of mothers with hemophilia children type - A - ,
socio-economic status and association between mother demographic information with their knowledge and practices
toward their children in Azadi Teaching Hospital in Kirkuk.
Methodology: Descriptive study no probability (purposive) sample. Selected Fifty-five of mothers having hemophilia
children, started from November 2012 to May 2013. Study was carried out in the Azadi teaching hospital in
Kirkuk. By using questionnaire which consists from five parts include demographic characteristics for mother and
children, socio-economic, Knowledge and practices data gathered, by direct interview with the mothers in the
hospital. Reliability and content validity of questioner were identified form of the pilot study. Descriptive and inferential
statistical used to analysis of data.
Results: The results of the study (30.9%) of the mothers were aged (40 - 44) and (43.6%) were graduates from primary
school. And their hemophilia children in all sample sex male, (41.8%) of hemophilia children were aged between
(5-9) years though (30.9 %) are not in school and that (69.1%) of the families have one child hemophilia infected
and (27.6%) were diagnosis bleeding in joint , level of severity of the disease (65.5%) was moderate
,(98.2%) of family depended on hospital to provide factor eight and other treatment to hemophilia child when
bleeding. socio – economic status of family show ( 61.8%) low status. (83.6%) of mothers uncertain of their information
about hemophilia, mother practices were (72.7%) sometimes and (23.6%) never done good practice to
their hemophilia children.
Recommendations: Develop special booklet for mothers local languages (Kurdish , Turkish ) develop programs and
awareness courses (theoretical and practical) for mothers and support family financial improve and provide factor
eighth for hospitals and health center where patients found.
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In this paper a comparison of the experimental of evacuated tube solar water heater systems with and without mirror flat reflector. The aim of using the reflector to improve thermal efficiency, and the data gathered which are (temperature, solar irradiation and time) for three days were compared. the results from compared data the temperature lower increase in evacuated tube solar water heater system without reflector than the temperature increase in evacuated tube solar water heater system with reflector .The results show (53, 39, 35) % for three days respectively that the evacuated tube solar water heater system with reflector has higher thermal efficiencies than the results (47, 28, 30) % for three days respectively thermal efficiencies
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Background: For decades, the use of naturally accessible materials in treating human disease has been widespread. The goal of this study was to determine the anti-fungal effectiveness /of the lemongrass essential oil (LGEO) versus Candida albicans (C. albicans) adhesion to polymethylmethacrylate (PMMA) materials. Material and methods: LGEO's anti-fungal activity was tested against C. albicans adhesion using the following concentration of LGEO in PMMA monomer (2.5 vol. %, 5 vol. % LGEO) selected from the pilot study as the best two effective concentrations. A total of 40 specimens were fabricated for the candida adherence test and were subdivided into four equal groups: negative control 0 vol. % addition, experimental with 2.5 vol. % and
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Face Recognition Systems (FRS) are increasingly targeted by morphing attacks, where facial features of multiple individuals are blended into a synthetic image to deceive biometric verification. This paper proposes an enhanced Siamese Neural Network (SNN)-based system for robust morph detection. The methodology involves four stages. First, a dataset of real and morphed images is generated using StyleGAN, producing high-quality facial images. Second, facial regions are extracted using Faster Region-based Convolutional Neural Networks (R-CNN) to isolate relevant features and eliminate background noise. Third, a Local Binary Pattern-Convolutional Neural Network (LBP-CNN) is used to build a baseline FRS and assess its susceptibility to d
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