Objectives: The study aimed at the assessment of nurses' knowledge and practice concerning Cesarean Section.
Methodology: ٨ non-experimental approach was carried out throughout the present study with the application
of a descriptive design a for the study subject. The study was carried out at two maternity hospitals in Mosul
city namely Al-Barolo and AL Khansa Hospitals. ٨ purposively sample consist of (20) Nurse who are working
in operation theater. The questionnaire was used as a means of data collection; it comprised (3) major parts. Part
one presented the demographic data. Part two, consisted of items of Nurses’ knowledge about Cesarean Section.
While, part three consisted of items of Nurses’ practices about Cesarean Section. Content validity was
determined by presenting the items to a panel of experts. Reliability of the questionnaire was determined
through the use of test and re-test approach.
Results: It has been found that the mean age of the nurses was 35.85 ± 10.44 years, and 15% of them was less
than 26 years. Sixty percent of them were married. For the level of education of the nurses, 55% of them were
graduated from intermediate nursing schools. The mean duration of nursing work in hospitals was 17.95 ± 1 1.50
years, and about 20% of them have more than 30 years in nursing work. Additionally, about half of them have
not worked in obstetric and gynecology departments.
Recommendation: The researcher recommends that the Ministry of Health should conduct training courses for
the Nurses who have qualifications to teach how to deal with Cesarean Section and the Nurses who work in
maternity unit need clear policy, job description by Ministry of Health in the operation theater.
The last decade has seen a variety of modifications of glass-ionomer cements (GICs), such as inclusion of bioactive glass particles and dispensing systems. Hence, the aim was to systematically evaluate effect of mixing modes and presence of reactive glass additives on the physical properties of several GICs.
The physical properties of eight commercial restorative GICs; Fuji IX GP Extra (C&H), KetacTM Fill Plus Applicap (C&H), Fuji II LC (C&H), Glass Carbomer Ce
Analyzing plantar pressure trajectories is crucial for assessing foot behavior in dynamic gait stability. We propose the identification of foot symmetry and the detection of deformities by analyzing the trajectories of the center of pressure (CoP) and peak pressure (PP). First, using a foot pressure mapping system, plantar pressure data are acquired during a normal gait cycle. After the data have been acquired, post processing extracts both the CoP and PP trajectories over the spatiotemporal domain of foot motion for each foot independently. For this purpose, we used the optical flow technique which accurately estimates the direction of foot motion. The extracted trajectories of each foot are then segmented into, the medial and lateral regi
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... Show MoreIn information security, fingerprint verification is one of the most common recent approaches for verifying human identity through a distinctive pattern. The verification process works by comparing a pair of fingerprint templates and identifying the similarity/matching among them. Several research studies have utilized different techniques for the matching process such as fuzzy vault and image filtering approaches. Yet, these approaches are still suffering from the imprecise articulation of the biometrics’ interesting patterns. The emergence of deep learning architectures such as the Convolutional Neural Network (CNN) has been extensively used for image processing and object detection tasks and showed an outstanding performance compare
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