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Lornoxicam-Loaded Cubosomes: - Preparation and In vitro Characterization.
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Cubosomes are nanosized structures self-assembled nanostructured materials used for controlling the release of the entrapped drug molecule. Lornoxicam (LXM) is a potent analgesic nonsteroidal anti-inflammatory (NSAID) drug with a short half-life (3-4) hours. The present study aims to prepare LXM-loaded cubosomes with well-defined morphology, particle size, PDI, high entrapment efficiency, sustained drug release, and high zeta potential value, as a transdermal drug delivery system.

      Twelve formulas of LXM-loaded cubosomal dispersions were prepared by a solvent dilution method using Glyceryl monooleate ( GMO) as polar lipid with different stabilizers as Pluronic® F127 or tween 80 and different types of hydrotrope as ethanol or propylene glycol. These formulas were evaluated for their particle size analysis & PDI, E.E. %, and in-vitro drug release to select a group of the optimum formulas, that further characterized by transmission electron microscopy (TEM) and zeta potential analyzer to select the optimum dispersion. FTIR study was used to investigate the compatibility of the drug with excipients.

The obtained results indicated that F3, composed of GMO, Pluronic® F127, ethanol, drug, and phosphate buffer solution pH 7.4 in the following per cents 7.28%, 1.82%, 8%, 2%, and 80.9% w/w, respectively, prepared in 20min agitation period, as the optimum formula for its high E.E. % (94.30±0.002%), small particle size (16.3±0.19nm), low PDI          (0.06±0.02), and high zeta potential value (-65.9±0.05mV), and well-defined cubic structure. FTIR study indicated no interaction between LXM and other formulas components.

This study's conclusion illustrated that LXM-loaded cubosomal dispersion could be considered a promising nano-carrier for transdermal drug delivery.

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Publication Date
Sun Jan 01 2023
Journal Name
Aip Conference Proceedings
Comparison among variable selection models and its application to health dataset
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Publication Date
Sun Jun 20 2021
Journal Name
Baghdad Science Journal
Ontological Methodologies for Counselling Intervention: Do’a and Zikr Al-Mā’thur Corpus
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Do’a and Zikr al-Mā’thur (authentic supplications and remembrance of ALLAH ‘Azza wa Jalla) can be suggested to Muslims to help them deal with challenges or issues in life. Counselling cases affect a person’s feelings. Do’a and Zikr al-Mā’thur are often applied as a counselling intervention. Unfortunately, the authentic Do’a and Zikr al-Mā’thur are dispersed in many resources not visible to users, and the fact that not all online resources offer access to accurate Do’a and Zikr al-Mā’thur to users and the dubious Do’a and Zikr al-Mā’thur frequently credited to the Prophet (pbuh). The goal of this research is to develop an ontology

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Publication Date
Wed Mar 30 2022
Journal Name
Journal Of Educational And Psychological Researches
Cognitive Distortion And Its Relationship of Parenting Reinforcement For Kindergarten Children
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This research aims to identify the cognitive distortion of kindergarten children and its relationship to their parenting reinforcement. The researcher used the descriptive approach, being the closest to reaching the study objectives, To measure the relationship between the research variables, the researcher prepared two questionnaire tools for this purpose, the first for measuring "cognitive distortion", And the second is to measure "parental reinforcement", and each tool consisted of (20) items.                         

After ensuring the validity and reliability of the two research tools and their suitabi

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Publication Date
Sat Oct 01 2016
Journal Name
Journal Of Engineering
Optimization of Dye Removal Using Waste Natural Material and Polymer Particles
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In this paper waste natural material (date seed) and polymer particles(UF) were used for investigation of  removal dye of the potassium permanganate. Also study effect some variables such as pH, dye concentration and adsorbent concentration on dye removal. 15 experimental runs were done using  the itemized conditions designed established on the Box-Wilson design employed to optimize dye removal. The optimum conditions for the dye removal were found: (pH) 12, (dye con.) 2.38 ppm, (adsorbant con.) 0.0816 gm for date seed with 95.22% removal and for UF (pH) 12, (dye con.) 18 ppm, (adsorbant con.) 0.2235 gm with 91.43%. The value of R-square was 85.47%  for Date seed  and (88.77%) for UF.

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Publication Date
Sun Jan 03 2016
Journal Name
Journal Of Educational And Psychological Researches
"Social affiliation and its relation with compliance for Iraqi expatriates students"
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Individual cannot live alone due to to his need for others to facilitate His supplies for living, thus social affiliation is considered one of the most important psychological, social needs in individuals life through his willing to affiliate to others whether they were friends ,family, colleague , or even home to reach some degree of  psychological stability.

       Affiliation is a tool to search for Satiate through living with group from the same type or comply for group or to be compatible with them or even to be adherent and accept what the group agreed about of criterion.

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Publication Date
Thu Sep 30 2004
Journal Name
Iraqi Journal Of Chemical And Petroleum Engineering
Adsorption of Hydrogen and Methane as Single Gases on Activated Carbon
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Publication Date
Mon Feb 01 2021
Journal Name
Journal Of Engineering
Assessing the Moisture and Aging Susceptibility of Cold Mix Asphalt Concrete
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Laboratory experience in Iraq with cold asphalt concrete mixtures is very limited. The design and use of cold mixed asphalt concrete had no technical requirements. In this study, two asphalt concrete mixtures used for the base course were prepared in the laboratory using conventional cold-mixing techniques to test cold asphalt mixture (CAM) against aging and moisture susceptibility. Cold asphalt mixtures specimens have been prepared in the lab with cutback and emulsion binders, different fillers, and curing times. Based on the Marshal test result, the cutback proportion was selected with the filler, also based on the Marshal test emulsion. The first mixture was medium setting cationic emulsion (MSCE) as a binder, hydrate

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Publication Date
Mon Mar 11 2019
Journal Name
Baghdad Science Journal
Determination of Nicotine Extracted from Eggplant and Green Pepper by HPLC
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Nicotine was separated from eggplant and green pepper seeds (Solanaceous) by High Performance Liquid Chromatography (HPLC).The concentration of nicotine in the eggplant extract (0.871-0.877 μg/ml) was determined by injecting standard material with 0.5 and 1.5 μg/ml, while the concentrations of nicotine in green pepper extract (0.613-0.618 μg/ml) was determined when the standard material was injected with 0.5 and 1.5 μg/ml. The qualitative chemical data was calculated from derivations of the standard material. Nicotine concentration was measured qualitatively in both extracts through the calibration curve and method of the standard addition. This technique has high accuracy and compatibility, bringing the proportion of relati

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Publication Date
Wed Jan 01 2025
Journal Name
Current Neuropharmacology
Ischemic Stroke and Autophagy: The Roles of Long Non-Coding RNAs
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Ischemic stroke is a significant cause of morbidity and mortality worldwide. Autophagy, a process of intracellular degradation, has been shown to play a crucial role in the pathogenesis of ischemic stroke. Long non-coding RNAs (lncRNAs) have emerged as essential regulators of autophagy in various diseases, including ischemic stroke. Recent studies have identified several lncRNAs that modulate autophagy in ischemic stroke, including MALAT1, MIAT, SNHG12, H19, AC136007. 2, C2dat2, MEG3, KCNQ1OT1, SNHG3, and RMRP. These lncRNAs regulate autophagy by interacting with key proteins involved in the autophagic process, such as Beclin-1, ATG7, and LC3. Understanding the role of lncRNAs in regulating auto

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Publication Date
Thu Jun 01 2023
Journal Name
Baghdad Science Journal
Comparison of Faster R-CNN and YOLOv5 for Overlapping Objects Recognition
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Classifying an overlapping object is one of the main challenges faced by researchers who work in object detection and recognition. Most of the available algorithms that have been developed are only able to classify or recognize objects which are either individually separated from each other or a single object in a scene(s), but not overlapping kitchen utensil objects. In this project, Faster R-CNN and YOLOv5 algorithms were proposed to detect and classify an overlapping object in a kitchen area.  The YOLOv5 and Faster R-CNN were applied to overlapping objects where the filter or kernel that are expected to be able to separate the overlapping object in the dedicated layer of applying models. A kitchen utensil benchmark image database and

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