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Development and Validation of HPLC Method For the Detection of Fusidic Acid Loaded in Non-ionic and Cationic Nanoemulsion-Based Gels
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Fusidic acid (FA) is a well-known pharmaceutical antibiotic used to treat dermal infections. This experiment aimed for developing a standardized HPLC protocol to determine the accurate concentration of fusidic acid in both non-ionic and cationic nano-emulsion based gels. For this purpose, a simple, precise, accurate approach was developed. A column with reversed-phase C18 (250 mm x 4.6 mm ID x 5 m) was utilized for the separation process. The main constituents of the HPLC mobile phase were composed of water: acetonitrile (1: 4); adjusted at pH 3.3. The flow rate was 1.0 mL/minute. The optimized wavelength was selected at 235 nm. This approach achieved strong linearity for alcoholic solutions of FA when loaded at a serial concentration ranging from 12.5 to 400 µg/ml. Furthermore, the approach showed good stability and achieved full recovery and an effective separation for FA from the abovementioned formulation. Besides, the protocol validation revealed good robustness at a temperature range of 23 to 27, pH 3.0 to 3.5, detection wavelength 230 to 240 nm, flow rate 0.8 and 1.2 and mobile phase contents of (78:22 to 82:18 acetonitrile/ water). The limit of Detection was obtained 1.33 µg/ml and limit of Quantification was 4.04 µg/ml for FA that uploaded through mentioned formulations. All the validation parameters were within the acceptance criteria, as per ICH , US Pharmacopeia requirements. Overall, an affordable and reproducible method could be achieved for the detection and quantification of fusidic acid within the nano-emulsion based gels formulas.

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Publication Date
Sat Jul 01 2017
Journal Name
Energy Procedia
Epoxy/Silicone Rubber Blends for Voltage Insulators and Capacitors Applications
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Publication Date
Wed Feb 28 2024
Journal Name
Mosul Journal Of Nursing
Association between Digital Addiction and Eating Behaviors for Preschool Children
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Publication Date
Fri Oct 20 2023
Journal Name
Ibn Al-haitham Journal For Pure And Applied Sciences
Novel Approximate Solutions for Nonlinear Initial and Boundary Value Problems
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This paper investigates an effective computational method (ECM) based on the standard polynomials used to solve some nonlinear initial and boundary value problems appeared in engineering and applied sciences. Moreover, the effective computational methods in this paper were improved by suitable orthogonal base functions, especially the Chebyshev, Bernoulli, and Laguerre polynomials, to obtain novel approximate solutions for some nonlinear problems. These base functions enable the nonlinear problem to be effectively converted into a nonlinear algebraic system of equations, which are then solved using Mathematica®12. The improved effective computational methods (I-ECMs) have been implemented to solve three applications involving nonli

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Publication Date
Mon Jul 01 2019
Journal Name
2019 International Joint Conference On Neural Networks (ijcnn)
A Fast Feature Extraction Algorithm for Image and Video Processing
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Publication Date
Thu Mar 13 2025
Journal Name
Academia Open
Deep Learning and Fusion Techniques for High-Precision Image Matting:
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General Background: Deep image matting is a fundamental task in computer vision, enabling precise foreground extraction from complex backgrounds, with applications in augmented reality, computer graphics, and video processing. Specific Background: Despite advancements in deep learning-based methods, preserving fine details such as hair and transparency remains a challenge. Knowledge Gap: Existing approaches struggle with accuracy and efficiency, necessitating novel techniques to enhance matting precision. Aims: This study integrates deep learning with fusion techniques to improve alpha matte estimation, proposing a lightweight U-Net model incorporating color-space fusion and preprocessing. Results: Experiments using the AdobeComposition-1k

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Publication Date
Wed May 01 2019
Journal Name
Iop Conference Series: Materials Science And Engineering
Simulation Physical and Chemical Blowing Agents for Polyurethane Foam Production
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Abstract<p>Use of computer simulation to quantify the effectiveness of blowing agents can be an effective tool for optimizing formulations and for the adopting of new blowing agents. This paper focuses on a mass balance on blowing agent during foaming including the quantification of the amount that stays in the resin, the amount that ends up in the foam cells, and the pressure of the blowing agent in the foam cells. Experimental data is presented both in the sense of developing the simulation capabilities and the validating of simulation results.</p>
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Publication Date
Fri Nov 20 2020
Journal Name
Solid State Technology
Comparative Study for Bi-Clustering Algorithms: Historical and Methodological Notes
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Publication Date
Sun Jan 02 2011
Journal Name
Journal Of Educational And Psychological Researches
Mental Health and Its Relationship with Shyness for University Students
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This study aimed to show the relationship between mental health and shyness for university students in Baghdad and Al – Mustansiria university which its subject was (200) students  ,          ( 100) males and  ( 100) females , Mental Health scale which is constructed by (Al – Janabi 1991) and developed by (Hassan 2006) was used for this aim  ,The scale of shyness was built according to a questioner to the students and according to previous publications and studies .

Multiple regulation analysis step - wise was used for data analysis in order to identify the possibility to find single or couple indications for the independent variable (mental

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Publication Date
Mon Jan 01 2018
Journal Name
Indian Journal Of Public Health Research &amp; Development
Nurses’ knowledge and practice toward oral care for intubated patients
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Publication Date
Thu Feb 28 2019
Journal Name
Journal Of Engineering
Activated Bentonite for Removal Nickle and Vanadium from Petroleum Distillates
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The present work is to investigate the feasibility of removal vanadium (V) and nickel (Ni) from Iraqi heavy gas oil using activated bentonite. Different operating parameters such as the degree of bentonite activation, activated bentonite loading, and operating time was investigated on the effect of heavy metal removal efficiency. Experimental results of adsorption test show that Langmuir isotherm predicts well the experimental data and the maximum bentonite uptake of vanadium was 30 mg/g. The bentonite activated with 50 wt% H2SO4 shows a (75%) removal for both Ni and V. Results indicated that within approximately 5 hrs, the vanadium removal efficiencies were 33, 45, and 60% at vanadium loadings of 1

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