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A qualitative study to explain the criteria of nursing managers in selecting effective nursing diagnosis
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Abstract<sec> <title>Objective

This study aimed to explain the criteria of managers at different levels of nursing in selecting effective nursing diagnosis.

Methods

In conventional content analysis, 10 nursing managers at different levels including head nurse, supervisor, and nursing manager were interviewed. Data was collected with semi-structured interviews and a narrative approach. Data analysis was performed using the Zhang–Wildemuth method simultaneously with sampling.

Results

Four head nurses, four supervisors (educational, clinical), and two nursing managers were interviewed. The results of the analysis led to the extraction of two main categories: centrality of the nursing profession, with the sub-categories compatibility with nursing practices and compliance with organizational and professional principles of nursing, and covering the patient care aspect, with sub-categories of having potential to facilitate and adapting to patient care conditions.

Conclusions

The analysis of the views of nursing managers shows that health managers should consider various management aspects such as functional and organizational to increase the efficiency of nursing interventions in the selection of nursing diagnostic systems. From the point of view of health managers, nursing diagnoses should cover the considerations of patients, nurses, and work environments.

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Mon Jul 20 2026
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Investigation of oleaginous plant-associated fungi from oil-producing plants: Molecular identification and gas chromatography-mass spectrometry (GC-MS) profiling
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The study evaluated endophytic communities associated with five oil-bearing plants, including sesame, corn, sunflower, olives and castor, which were collected from Baghdad and Diyala (Iraq), evaluated their oil production capacity and identified metabolites from the lipid fraction. Out of 151 isolates were collected from 21 taxa. Aspergillus niger showed the highest frequency (6.62 %), while the genera Aspergillus and Fusarium were the most dominant endophytes. The highest oil yield was identified and recorded in Aspergillus terreus (24.12 %). While the lowest oil yield was observed in Sclerotinia spp. (3.96 %). Gas chromatography-mass spectrometry (GC-MS) analysis of A. terreus revealed a profile dominated by pentadecyl acrylate (2

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Sun Mar 01 2026
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Journal Of Molecular Structure
Synthesis, characterization, DFT calculations, molecular docking, ADMET analysis and biological activity of Schiff base metal complexes against colon cancer cells
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Synthesis, characterization, DFT calculations, molecular docking, ADMET analysis and biological activity of Schiff base metal complexes against colon cancer cells
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Biosynthesis of silver nanoparticles from <i>Catharanthus roseus</i> leaf extract and assessing their antioxidant, antimicrobial, and wound-healing activities
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Classification of Apple Slices Treated by Atmospheric Plasma Jet for Post-harvest Processes Using Image Processing and Convolutional Neural Networks
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Toxic and Antifeedant Effects of Different Pesticidal Plant Extracts against Beet Armyworm (&lt;i&gt;Spodoptera exigua&lt;/i&gt;)
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Green Synthesis Of Bimetallic Iron/Copper Nanoparticles Using Ficus Leaves Extract For Removing Orange G(OG) Dye From Aqueous Medium
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This study shows that it is possible to fabricate and characterize green bimetallic nanoparticles using eco-friendly reduction and a capping agent, which is then used for removing the orange G dye (OG) from an aqueous solution. Characterization techniques such as scanning electron microscopy (SEM), Energy Dispersive Spectroscopy (EDAX), X-Ray diffraction (XRD), and Brunauer-Emmett-Teller (BET) were applied on the resultant bimetallic nanoparticles to ensure the size, and surface area of particles nanoparticles. The results found that the removal efficiency of OG depends on the G‑Fe/Cu‑NPs concentration (0.5-2.0 g.L-1), initial pH (2‑9), OG concentration (10-50 mg.L-1), and temperature (30-50 °C). The batch experiments showed

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