Objective: The descriptive study was used to evaluate nursing staff performance in cardiac care units at teaching
and non teaching hospitals in kirkuk city: A comparative study.
Methodology: A descriptive study was used to evaluate nursing staff performance in cardiac care units. The study
was conducted from December 29th
, 2013 up to the 27th of Apr. 2014. A non-probability (purposive) sample of
(44) nurses who work in cardiac care unit at Azady teaching Hospital and Kirkuk general Hospital was evaluated by
a questionnaire which consisted of two parts; the first part is concerned with the demographic characteristics of
the nurses and the second part concerned Observation check list for evaluation nursing staff Performance in
Cardiac Care. Validity of the observational check list performed through a panel of (02) experts and the reliability of
the questionnaire is determined through the pilot study. Descriptive and inferential statistical used to analysis of
data.
Results: the study shows that (61.4%) of the samples age were (20-30) years old, (63.6%) were male. (68.2%) of
them Graduate B.Sc. of Nursing. most of the samples has (1-5) Years of experience in Nursing. the results shows
that a high assessment of observational Check List are reported for the following domains: Maintenance respiration
by adequate O2 supply, Decrease SVR (systematic vascular resistance), Monitor ABGs (Arterial blood gases)
frequently. Also the study reveals that moderate assessments of observational Check List are reported for reaming
domains.
Recommendations : Providing opportunity for nurses in cardiac care units to continuing updating their education
to maintain knowledge and skills.
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Shear wave velocity is an important feature in the seismic exploration that could be utilized in reservoir development strategy and characterization. Its vital applications in petrophysics, seismic, and geomechanics to predict rock elastic and inelastic properties are essential elements of good stability and fracturing orientation, identification of matrix mineral and gas-bearing formations. However, the shear wave velocity that is usually obtained from core analysis which is an expensive and time-consuming process and dipole sonic imager tool is not commonly available in all wells. In this study, a statistical method is presented to predict shear wave velocity from wireline log data. The model concentrated to predict shear wave velocity fr
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