Preferred Language
Articles
/
2hdjno0BVTCNdQwClRay
Nurses' Perception Toward Therapeutic Strategies for Children with Pneumonia
...Show More Authors

Background: Pneumonia is the common lower respiratory tract infection among pediatrics, especially under five; it is a common cause of under-five children morbidity and mortality. Objectives of study: To identify nurses' perceptions toward therapeutic strategies for children with pneumonia and to find the association between their perceptions and their demographic variables. Methods: A Convenient sample of 46 nurses in Baghdad city from three hospitals) Kadhimiya Hospital for Children, Central Teaching Hospital of Pediatrics, and Child Welfare Teaching Hospital) included in the study to identify their perceptions regarding pneumonia in children. Results: The results of the study present that most of the nurses' participants in the age group (20-25 years) are female, with a diploma in nursing. There is an association between nurses' perceptions with many variables such as age, education level, service in the ward, and training courses. Conclusions: In general, nurses were well aware of the strategies used for children with pneumonia, but gaps in some items are likely due to their information taken from social media. Activating the Ministry of Health's media on the importance of global strategies for treating children with pneumonia is an important step to improve nurses' perception gaps.

Crossref
View Publication
Publication Date
Sat Apr 01 2023
Journal Name
Heliyon
Role of immobilised Chlorophyta algae in form of calcium alginate beads for the removal of phenol: isotherm, kinetic and thermodynamic study
...Show More Authors

View Publication
Scopus (21)
Crossref (21)
Scopus Clarivate Crossref
Publication Date
Tue Dec 27 2022
Journal Name
Chemical Papers
Synthesis, characterization, and application of external gelation of sodium alginate nanoparticles in molecular imprinting for separation and drug delivery of tenoxicam
...Show More Authors

View Publication Preview PDF
Scopus (11)
Crossref (8)
Scopus Clarivate Crossref
Publication Date
Wed Jan 01 2020
Journal Name
Asian Journal Of Ournal Of Chemistry
Assessment of an Electrocoagulation Reactor for the Removal of Oil Content and Turbidity from Real Oily Wastewater Using Response Surface Method
...Show More Authors

Background: Large amounts of oily wastewater and its derivatives are discharged annually from several industries to the environment. Objective: The present study aims to investigate the ability to remove oil content and turbidity from real oily wastewater discharged from the wet oil's unit (West Qurna 1-Crude Oil Location/ Basra-Iraq) by using an innovated electrocoagulation reactor containing concentric aluminum tubes in a monopolar mode. Methods: The influences of the operational variables (current density (1.77-7.07 mA/cm2) and electrolysis time (10-40 min)) were studied using response surface methodology (RSM) and Minitab-17 statistical program. The agitation speed was taken as 200 rpm. Energy and electrodes consumption had been studi

... Show More
Preview PDF
Crossref (23)
Crossref
Publication Date
Thu Apr 01 2021
Journal Name
Complexity
Bayesian Regularized Neural Network Model Development for Predicting Daily Rainfall from Sea Level Pressure Data: Investigation on Solving Complex Hydrology Problem
...Show More Authors

Prediction of daily rainfall is important for flood forecasting, reservoir operation, and many other hydrological applications. The artificial intelligence (AI) algorithm is generally used for stochastic forecasting rainfall which is not capable to simulate unseen extreme rainfall events which become common due to climate change. A new model is developed in this study for prediction of daily rainfall for different lead times based on sea level pressure (SLP) which is physically related to rainfall on land and thus able to predict unseen rainfall events. Daily rainfall of east coast of Peninsular Malaysia (PM) was predicted using SLP data over the climate domain. Five advanced AI algorithms such as extreme learning machine (ELM), Bay

... Show More
View Publication
Scopus (24)
Crossref (18)
Scopus Clarivate Crossref
Publication Date
Fri Aug 15 2025
Journal Name
Baghdad Science Journal
Hydrothermal synthesis of high surface area mesoporous silica as an efficient adsorbent for removal of crystal violet dye from aqueous solution
...Show More Authors

View Publication
Scopus (1)
Scopus Crossref
Publication Date
Thu Feb 01 2024
Journal Name
International Journal Of Biological Macromolecules
A novel designed nanofibrous mat based on hydroxypropyl methyl cellulose incorporating mango peel extract for potential use in wound care system
...Show More Authors

View Publication
Scopus (20)
Crossref (16)
Scopus Clarivate Crossref
Publication Date
Sun Jan 01 2023
Journal Name
Aip Conference Proceedings
Design and establishment of an implementation program to simulate the far field propagation for a Gaussian beam of x-ray laser
...Show More Authors

View Publication
Scopus (3)
Crossref (3)
Scopus Crossref
Publication Date
Sun Dec 01 2019
Journal Name
2019 First International Conference Of Computer And Applied Sciences (cas)
A Comparison for Some of the estimation methods of the Parallel Stress-Strength model In the case of Inverse Rayleigh Distribution
...Show More Authors

View Publication
Scopus (16)
Crossref (8)
Scopus Crossref
Publication Date
Wed Aug 01 2018
Journal Name
International Journal Of Electrochemical Science
Utilization of Natural Dyes from Zingiber officinale Leaves and Clitoria ternatea Flowers to Prepare New Photosensitisers for Dye-Sensitised Solar Cells
...Show More Authors

View Publication
Scopus (44)
Crossref (37)
Scopus Clarivate Crossref
Publication Date
Fri Mar 31 2017
Journal Name
Al-khwarizmi Engineering Journal
Design of Nonlinear PID Neural Controller for the Speed Control of a Permanent Magnet DC Motor Model based on Optimization Algorithm
...Show More Authors

In this paper, the speed control of the real DC motor is experimentally investigated using nonlinear PID neural network controller. As a simple and fast tuning algorithm, two optimization techniques are used; trial and error method and particle swarm optimization PSO algorithm in order to tune the nonlinear PID neural controller's parameters and to find best speed response of the DC motor. To save time in the real system, a Matlab simulation package is used to carry out these algorithms to tune and find the best values of the nonlinear PID parameters. Then these parameters are used in the designed real time nonlinear PID controller system based on LabVIEW package. Simulation and experimental results are compared with each other and showe

... Show More
View Publication Preview PDF