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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This paper aims to evaluate the reliability analysis for steel beam which represented by the probability of Failure and reliability index. Monte Carlo Simulation Method (MCSM) and First Order Reliability Method (FORM) will be used to achieve this issue. These methods need two samples for each behavior that want to study; the first sample for resistance (carrying capacity R), and second for load effect (Q) which are parameters for a limit state function. Monte Carlo method has been adopted to generate these samples dependent on the randomness and uncertainties in variables. The variables that consider are beam cross-section dimensions, material property, beam length, yield stress, and applied loads. Matlab software has be
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