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Reciprocal dynamics of empathy and attachment styles in pediatric emergency nursing care: A cross-sectional study
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Background

Despite their critical role in child care, emergency department (ED) nurses’ empathy and their attachment style toward children have not been thoroughly studied.

Objectives

This research is conducted to explore the reciprocal dynamic relationship between nurses’ empathetical orientation and their level of attachment style in the pediatric emergency departments.

Methods

A descriptive cross-sectional survey was conducted across 132 pediatric emergency nurses from three pediatric hospitals in 2024. The study utilized a tool comprised socio-demographic characteristics of pediatric emergency nurses, the Jefferson Scale of Empathy, and Adult Attachment Scale. The Statistical Package for Social Sciences, version 26 was used to examine the associations among the measured variables in the study.

Results

The study results show that the mean of empathetical orientation of nurses in the pediatric emergency departments was at a moderate level with a total mean score of M(SD) = 47.08 (8.68) (perspective-taking); M(SD) = 30.33 (5.68) (compassionate care); and M(SD) = 14.50 (3.44) (standing in the patient’s shoes). The total mean attachment style was at a moderate level, with a total mean score of their secure M(SD) = 18.46 (3.33), anxious M(SD) = 8.04 (2.40), and avoidant M(SD)= 17.34 (3.93). There is a significant association between the level of empathetical orientation and the level of attachment style (P-value ≤ 0.001) for pediatric nurses in the emergency departments.

Conclusion

An empathetical orientation is independently significantly predicted of attachment style of pediatric emergency nurses. The findings could be the basis for emergency nurses to expand their roles in enhancing children health outcomes to improve their own empathy recognition abilities for adapting attachment style.

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Publication Date
Mon Dec 02 2024
Journal Name
Engineering, Technology & Applied Science Research
An Artificial Neural Network Prediction Model of GFRP Residual Tensile Strength
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This study uses an Artificial Neural Network (ANN) to examine the constitutive relationships of the Glass Fiber Reinforced Polymer (GFRP) residual tensile strength at elevated temperatures. The objective is to develop an effective model and establish fire performance criteria for concrete structures in fire scenarios. Multilayer networks that employ reactive error distribution approaches can determine the residual tensile strength of GFRP using six input parameters, in contrast to previous mathematical models that utilized one or two inputs while disregarding the others. Multilayered networks employing reactive error distribution technology assign weights to each variable influencing the residual tensile strength of GFRP. Temperatur

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Publication Date
Tue Oct 24 2023
Journal Name
Zanco Journal Of Pure And Applied Sciences
Topical Application of Capparis Spinosa Fruit Extract Lowers Blood Glucose Level.
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Wed Jan 01 2020
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University Of Bucharest Rom Biotechnol Printed In Romania.
Antibiotic resistance determinants of Acinetobacter baumannii strains isolated from nosocomial infections
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Publication Date
Sun Mar 01 2020
Journal Name
Iop Conference Series: Materials Science And Engineering
Characterization of nickel oxide nanocatalyst electrodes for an alkaline fuel cell
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Abstract<p>In this paper had been studied the characterization of the nanocatalyst (NiO) Mesh electrodes. For fuel cell. The catalyst is prepared and also the electrodes The structural were studied through the analysis of X-ray diffraction of the prepared nanocatalyst for determining the yielding phase and atomic force microscope to identify the roughness of prepared catalyst surface, Use has been nanocatalyst led to optimization of cell voltage, current densities & power for a fuel cell.</p>
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Publication Date
Wed Jun 15 2022
Journal Name
Malaysian Journal Of Science
INVESTIGATION OF FAST NEURON ATTENUATION COEFFICIENTS FOR SOME IRAQI BUILDING MATERIALS
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This research aims to improve the radiation shielding properties of polymer-based materials by mixing PVC with locally available building materials. Specifically, two key parameters of fast neutron attenuation (removal cross-section and half-value layer) were studied for composite materials comprising PVC reinforced with common building materials (cement, sand, gypsum and marble) in different proportions (10%, 30% and 50% by weight). To assess their effectiveness as protection against fast neutrons, the macroscopic neutron cross-section was calculated for each composite. Results show that neutron cross-section values are significantly affected by the reinforcement ratios, and that the composite material PVC + 50% gypsum is an effect

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Publication Date
Fri Mar 01 2019
Journal Name
Far East Journal Of Mathematical Sciences (fjms)
SOME TYPES OF DELAY DIFFERENTIAL EQUATIONS SOLVED BY SUMUDU TRANSFORM METHOD
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Publication Date
Mon Apr 13 2020
Journal Name
International Journal Of Research Inpharmaceutical Sciences
The UV light effects on pectinase production of Pantoea sp. bacteria
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Publication Date
Wed Dec 01 2021
Journal Name
International Journal Of Research In Social Sciences & Humanities. E-issn
CONCEPTS OF LITERATURE: COMPARATIVE LITERATURE BY HENRY GIFFORD (an Article REVIEW).
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BOOK REVIEW

Publication Date
Sun Aug 01 2021
Journal Name
Laser Micro- And Nano-scale Processing
Physical principles of laser–material interaction regimes for laser machining processes
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Lasers, with their unique characteristics in terms of excellent beam quality, especially directionality and coherency, make them the solution that is key for many processes that require high precision. Lasers have good susceptibility to integrate with automated systems, which provides high flexibility to reach difficult zones. In addition, as a processing tool, a laser can be considered as a contact-free tool of precise tip that became attractive for high precision machining at the micro and nanoscales for different materials. All of the above advantages may be not enough unless the laser technician/engineer has enough knowledge about the mechanism of interaction between the laser light with the processed material. Several sequential phenom

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Publication Date
Mon Oct 03 2022
Journal Name
Optik
Enhancement the photosensitivity of PVA NFs/Si prepared by electrospinning technique
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This work aimed PVA nanofibers in a range of concentrations were successfully manufactured via electrospinning. PVA NFs/Si was effectively prepared using the electrospinning process. The structural, morphological, optical and electrical properties of the prepared PVA were studied using XRD, FE-SEM, UV-Vis spectrophotometer and I-V characteristics, respectively. The amorphous structure of PVA nanofibers was observed. The optical energy gap from ultraviolet to visible was between (2.75 and 2.41) eV, making this compound highly sensitive to visible orange light at 610 nm, with a photosensitivity of 66%. The optical energy gap of PVA/Si heterojunction was utilized to modify this film from the UV to the visible spectrum. As show in the results,

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