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Evaluation Nurses Practice about Care of Children with Febrile Convulsion
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Abstract

Objective(s): To evaluate the nurses` practices for children who diagnosed with febrile convulsion.

Methodology: A quantitative research, descriptive correlational design was used in this study, the study conducted on nurses who work in Al-Diwaniya Pediatrics Teaching Hospital-Iraq for Maternal and Children period from 12th September 2021 to 10th October 2022. A non- probability (convenience) sample has been applied to obtain the study goals. The study sample was (21) nurses who participate in the study. The study tool is composed of two parts: The first part is concerned with collection of nurses socio-demographic data obtained from the nurses by a self-administered questionnaire, while the second part is constructed to assess nurse’s practices about children with febrile convulsion, it consists of (42) closed-ended question. The validity of the study instrument was determined through the (15) of experts in the specialty field.

Results: Findings demonstrated assessment of the study sample responses at the nurse’s practices concerning management of children with febrile convulsion in terms of mean and standard deviation.

Conclusion: Nurses' practice abut care of children with febrile convulsion was poor apply.

Recommendations: Researcher recommendations periodic in-service training program and regular lectures should be provided to nursing staff in order updating their knowledge and practice about care of children with febrile convulsion.

. Keywords: Assessment, Nurses Practices, Febrile Convulsion  Children

 

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Publication Date
Sun Feb 01 2026
Journal Name
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DEVELOPMENT AND EVALUATION OF A YOLO ALGORITHM-BASED ROBOTIC SPRAYER FOR REAL-TIME WEED DETECTION
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Abstract<p> Weed control with chemicals is a challenging process that should be performed in a rational way to reduce their negative impact on the surrounding environment. The growth of artificial intelligence algorithms encourages researchers to develop smart spraying robots that detect and spray weeds and distinguish them from the main crop which leads to sustainable use of these chemicals and achieves some of the sustainable development goals. However, few studies are available to comprehensively compare different versions of YOLO algorithm to detect weed. In this research, seven versions of YOLO algorithms were evaluated for their performance to detect and spray four t</p> ... Show More
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TMA and DSC study of molded and annealed polyester: a thermal expansion and crystallization evaluation
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Thermomechanical analysis (TMA) and differential scanning calorimetry (DSC) are used to investigate the effect of molding and annealing of polyester on the behavior of thermal expansion and crystallization since these factors play role in the reprocessing or recycling of the polymer. The dynamic mode of the TMA provides enhanced characterization information about the polyester since it separates the transitions into reversible and irreversible signals, and also reveals the progress of the amorphous regions as the polyester loses strength with the increasing temperature approaching melting. Slow cooling after annealing brings crystallization that may be attributed to molecular chain straightening due to orientation.

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Publication Date
Sun Dec 25 2022
Journal Name
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Design and Evaluation of Solid Lipid Nanoparticle Eye Drops Containing VRN for Ocular Drug Delivery
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As a well-known oral and intravenous antifungal, voriconazole (VRN) has an extensive history of usage in the medical field. Solid lipid nanoparticles (SLNs) have been produced to treat ocular fungal keratitis in the eye. A 32Box-behnken design was used to produce a variety of new formulas for hot-melt extrusion. The SLNs were evaluated by entrapment efficiency (EE percent), particle size (PS), polydispersity index (PDI), and zeta potential (ZP). A series of in-vitro and in-vivo studies were carried out on the new formula. The produced vesicles’ EE, PS, PDI, and ZP values were all good. SLNs eye drops were numerically adjusted to include carbopol, a stabilizer, lipids, and a surfactant, among other substances. ZP of -36.5 ± 0.20 m

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Performance Evaluation of UDP, DCCP, SCTP and TFRC for Different Traffic Flow in Wired Networks
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Modeling and Simulation for Performance Evaluation of Optical Quantum Channels in Quantum key Distribution Systems
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In this research work, a simulator with time-domain visualizers and configurable parameters using a continuous time simulation approach with Matlab R2019a is presented for modeling and investigating the performance of optical fiber and free-space quantum channels as a part of a generic quantum key distribution system simulator. The modeled optical fiber quantum channel is characterized with a maximum allowable distance of 150 km with 0.2 dB/km at =1550nm. While, at =900nm and =830nm the attenuation values are 2 dB/km and 3 dB/km respectively. The modeled free space quantum channel is characterized at 0.1 dB/km at =860 nm with maximum allowable distance of 150 km also. The simulator was investigated in terms of the execution of the BB84 p

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Modeling and Simulation for Performance Evaluation of Optical Quantum Channels in Quantum key Distribution Systems
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In this research work, a simulator with time-domain visualizers and configurable parameters using a continuous time simulation approach with Matlab R2019a is presented for modeling and investigating the performance of optical fiber and free-space quantum channels as a part of a generic quantum key distribution system simulator. The modeled optical fiber quantum channel is characterized with a maximum allowable distance of 150 km with 0.2 dB/km at =1550nm. While, at =900nm and =830nm the attenuation values are 2 dB/km and 3 dB/km respectively. The modeled free space quantum channel is characterized at 0.1 dB/km at =860 nm with maximum allowable distance of 150 km also. The simulator was investigated in terms of the execution of the BB84 prot

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