Objective(s): The study aimed to assess the level of nursing performance and practices in terms of approaching or
distancing itself from the optimal performance criteria universally adopted within the variable dressing surgical
wounds of patients admitted to the surgical wards, and determine the relationship between the level of nurse's
performance and socio-demographic characteristics of them in those wards.
Methodology: A descriptive assessing design was adopted from November the 10th, 2010 until June the 1st, 2011 to
assess the nursing care provided practices for the postoperative period within the variable dressing surgical wounds in
the complex of Medical City. Whereas the study was conducted in three hospitals; Baghdad Teaching Hospital, ALShahid
Ghazi Hariri for surgical specialties, and nursing home hospital. A Purposive "non- probability" sample
consisting of (55) nurses from those who working in surgical wards at the time of data collection. The data were
collected after adapting AL-Ajloni questionnaire by the researchers that is dedicated to the purposes of the study and
composed of two major parts; the first part includes the page of socio-demographic data which contains (6)
paragraphs, and the second one includes the page of the major components of the study which contains (4) domains
in (39) sub-domain. The validity of the questionnaire was determined by (7) experts in the specialty field. While, the
reliability of the questionnaire was determined by calculating the correlation coefficient (Pearson), which was
statistically acceptable value (r = 0.86). Data were collected through direct observant approach by the mean of the
designed practice checklist. Thereafter, the data were analyzed through the application of descriptive analysis
measures (frequencies and percentages), as well as weighted arithmetic mean and Pearson correlation coefficient by
using (SPSS) Version 16.
Results: The findings of the study indicated that academic nurses had performed adequate practices relative to
postoperative wound dressing than practical ones. All nurses regardless of their gender had performed almost at the
same level of practices relative to postoperative wound dressing. Older nurses demonstrated inadequate practices
concerning postoperative wound infection precautions. The quality of nurse's performance regarding postoperative
dressing procedure was strong positive relationship with level of education. Nurses who had participated in training
sessions performed the same practices of others without it.
29
Nurses' practices and postoperative wound dressing
Recommendations: standards practice guide lines should be available for every nurse in hospital; furthermore strict
nosocomial infection control precaution should be followed by health care providers. In addition thorough advanced
training courses should be available for nurses dedicated in its nature toward standards ideal safe practice
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Previously many properties of graphene oxide in the field of medicine, biological environment and in the field of energy have been studied. This diversity in properties is due to the possibility of modification on the composition of this Nano compound, where the Graphene oxide is capable of more modification via addition other functional groups on its surface or at the edges of the sheet. The reason for this modification possibility is that the Sp3 hybridization (tetrahedral structure) of the carbon atoms in graphene oxide, and it contains many oxygenic functional groups that are able to reac with other groups. In this research the effect of addition of some amine compounds on electrical properties of graphene oxide has been studied by the
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The use of real-time machine learning to optimize passport control procedures at airports can greatly improve both the efficiency and security of the processes. To automate and optimize these procedures, AI algorithms such as character recognition, facial recognition, predictive algorithms and automatic data processing can be implemented. The proposed method is to use the R-CNN object detection model to detect passport objects in real-time images collected by passport control cameras. This paper describes the step-by-step process of the proposed approach, which includes pre-processing, training and testing the R-CNN model, integrating it into the passport control system, and evaluating its accuracy and speed for efficient passenger flow
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Experiments research is done to determine how saturated stiff clayey soil responds to a single impulsive load. Models made of saturated, stiff clay were investigated. To supply the single pulse energy, various falling weights from various heights were tested using the falling weight deflectometer (FWD). Dynamic effects can range from the major failure of a sensitive sensor or system to the apparent destruction of structures. This study examines the response of saturated stiff clay soil to a single impulsive load (vertical displacement at the soil surface below and beside the bearing plates). Such reactions consist of displacements, velocities, and accelerations caused by the impact occurring at the surface depth induced by the impact loads
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Background: Marginal adaptation is critical for long – term success of crown and bridge restoration. Computer aided design / computer aided manufacture (CAD/ CAM) system is gaining more importance in the fabrication of dental restoration. Objective: The aim of this study is to evaluate the effect of crystallization firing on the vertical marginal gap of IPS. emax CAD crowns which fabricated with two different CAD/CAM systems .Materials and Methods: Twenty IPS e.max CAD crowns were fabricated. We had two major groups (A, B) (10 crowns for each group) according to the CAD/CAM system being used: Group A: fabricated with Imes - Icore CAD/CAM system; Group B: fabricated with In Lab Sirona CAD/CAM system. Each group was subdivided into two s
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The map of permeability distribution in the reservoirs is considered one of the most essential steps of the geologic model building due to its governing the fluid flow through the reservoir which makes it the most influential parameter on the history matching than other parameters. For that, it is the most petrophysical properties that are tuned during the history matching. Unfortunately, the prediction of the relationship between static petrophysics (porosity) and dynamic petrophysics (permeability) from conventional wells logs has a sophisticated problem to solve by conventional statistical methods for heterogeneous formations. For that, this paper examines the ability and performance of the artificial intelligence method in perme
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