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FORMULATION AND IN VITRO EVALUATION OF BROMOCRIPTINE MESYLATE AS FAST DISSOLVING ORAL FILM
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Objective: The aim of this study was to formulate and in vitro evaluate fast dissolving oral film of practically insoluble bromocriptine mesylate to enhance its solubility and to improve its oral bioavailability by avoiding first pass effect as well as to produce an immediate release action of the drug from the film for an efficient management of diabetes mellitus type II in addition to an improvement of the patient compliance to this patient- friendly dosage form. Methods: The films were prepared by the solvent casting method using hydroxypropyl methylcellulose of grades (E3, E5, E15), polyvinyl alcohol (PVA), pectin and gelatin as film-forming polymers in addition to polyethene glycol 400 (PEG400), propylene glycol (PG) and glycerin were used as a plasticizer. Poloxamer 407 was used as a surfactant, sodium saccharin as a sweetening agent, citric acid as a saliva stimulating agent, vanilla as a flavouring agent and crospovidone as a super disintegrant. The prepared films then tested for physical characterization, thickness, weight uniformity, mechanical characteristics (folding endurance, tensile strength, percent elongation and Young's modulus), surface pH, in vitro disintegration time, drug content and an in vitro drug release. Results: Films were found to be satisfactory when evaluated for physical characterization, thickness, weight uniformity, mechanical tests, in vitro disintegration time, folding endurance, drug content and an in vitro drug release. The surface pH of all the films was found to be neutral or minor change. Films in vitro drug release studies were also done using USP dissolution apparatus type II (paddle type). The in vitro drug release profile in the optimized formulation F14 was gave 86.8 % of drug released at 2 min. The optimized formulation F14 was also showed satisfactory pH (6.2±0.2), drug content (99.2±0.5%), the disintegration time of 9.2±0.1 seconds and the time needed for 80% of medication to be released (T80 %) was 1.35 minute. Conclusion: The bromocriptine mesylate fast dissolving oral film was formulated. The given film disintegrates within nine seconds which release the drug rapidly and gives an action.

Scopus
Publication Date
Fri Jan 01 2021
Journal Name
Aip Conference Proceedings
Deposited Cu (In, Ga) Se2 (CIGS) by spin-coating technique as an absorber layer of solar-cells
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Cu (In, Ga) Se2 (CIGS) nano ink were synthesized from molecular precursors of CuCl, In Cl3, GaCl3 and Se metal heated to 240 °C for 1 hour in N2-atmosphere to form CIGS nanocrystal ink, Thin films were deposited onto Au/soda-lime glass (SLG) substrates. This work focused on CIGS nanocrystals, including their synthesis and application as the active light absorber layer in photovoltaic devices (PVs). This approach, using spin-coating deposition of the CIGS light absorber layers (75 mg/ml and 150 nm thickness), without high temperature selenization, has enabled up to 1.398 % power conversion efficiency under AM 1.5 solar illumination. X-ray diffraction (XRD) studies show that the structural formation of CIGS chalcopyrite structure. The mo

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Publication Date
Sun Mar 30 2003
Journal Name
Iraqi Journal Of Chemical And Petroleum Engineering
Electrochemical behavior of Anodized AA7075 Aluminum Alloy in 0.1M NaCl Solution as Investigated by Potentiostatic Polarization Ttechnique
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Publication Date
Mon Feb 01 2021
Journal Name
Journal Of Engineering
Electrical Conductivity as a General Predictor of Multiple Parameters in Tigris River Based on Statistical Regression Model
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Surface water samples from different locations within Tigris River's boundaries in Baghdad city have been analyzed for drinking purposes. Correlation coefficients among different parameters were determined. An attempt has been made to develop linear regression equations to predict the concentration of water quality constituents having significant correlation coefficients with electrical conductivity (EC). This study aims to find five regression models produced and validated using electrical conductivity as a predictor to predict total hardness (TH), calcium (Ca), chloride (Cl), sulfate (SO4), and total dissolved solids (TDS). The five models showed good/excellent prediction ability of the parameters mentioned

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Publication Date
Thu Mar 15 2018
Journal Name
Moroccan Journal Of Chemistry
Corrosion Protection of Carbon Steel in seawater by alumina nanoparticles with poly (acrylic acid) as charging agent
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Nanostructured Al2O3has been applied as a protective coating against corrosion of the carbon steel (C.S) in seawater environment (3.5% NaCl) at temperatures range (298-328)K. Aluminananoparticles were deposited on carbon steel substrates by cathodic electrophoretic deposition (EPD) with ethanol as suspension medium and poly(acrylic acid) (PAA) as polymeric charging agent. Meanwhile, thesurface morphology was examined using Atomic-force microscopy (AFM). The cross-section AFM showed that the particles sizes for the Al2O3 NPs is around 60-80 nm. The anticorrosion behaviour of coated C.S was investigated in 3.5% NaCl at temperature range 298-328 K by potentiodynamic polarization measurements. Results show that using PAA in suspension coat incr

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Scopus (12)
Scopus
Publication Date
Sun Jan 01 2012
Journal Name
Indian Journal Of Dermatology
Lactic acid as a new therapeutic peeling agent in the treatment of lifa disease (frictional dermal melanosis)
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Publication Date
Sun Apr 29 2018
Journal Name
Iraqi Journal Of Science
Modified Artificial immune system as Feature Selection
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Feature selection algorithms play a big role in machine learning applications. There are several feature selection strategies based on metaheuristic algorithms. In this paper a feature selection strategy based on Modified Artificial Immune System (MAIS) has been proposed. The proposed algorithm exploits the advantages of Artificial Immune System AIS to increase the performance and randomization of features. The experimental results based on NSL-KDD dataset, have showed increasing in performance of accuracy compared with other feature selection algorithms (best first search, correlation and information gain).

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Publication Date
Tue Sep 19 2017
Journal Name
Ibn Al-haitham Journal For Pure And Applied Sciences
Palm Leaf as a Thermal Insulation Material
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This paper presents calculat,ion of thermal conductivity (K) of palm

leaf  experimentally  using  Lee s  disc  method   to  be  used  as   thermal

insulator. The therma l conducti vity is found to be equal to (k=0.03W/mK)

indicating  that  palm l eaf is a good thermal  insulator com pared to the other insulators. The effect of the thermal insulator   thickness  on temperature di lTt::rence,  heat   transfer    coefficient,   thermal     conductance,   thermal resistance,  thermal  insulation are in vestigated in this paper. It was  found that

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Publication Date
Tue Dec 19 2023
Journal Name
Journal Of Madenat Alelem College
Review Article: Amygdalin as Anti-Cancer Agent
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Amygdalin (d-Mandelonitrile 6-O-β-d-glucosido-β-d-glucoside) and its semi synthetic product is Laetrile ( also called vitamin B17): a natural cyanogenic glycoside occurring in the seeds of some edible plants, such as bitter almonds and peaches. Early in the 19th century, Amygdalin was first isolated in 1830 by two French chemists, Robiquet and Boutron-Charlard, as active components in various fruit pits and raw nuts. However, the systematized study of vitamin B17 started when chemist Bohn (1802) discovered that a hydrocyanic acid is released during distillation of the water from bitter almonds. The various pharmacological effects of Laetrile include antiatherogenic, activity in renal fibrosis, pulmonary fibrosis, immune regulation, ant

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Publication Date
Wed Jan 01 2020
Journal Name
Annals Of Tropical Medicine And Public Health
Dithiocarbamates derivatives as anticancer agents: A Review
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Publication Date
Wed Mar 16 2022
Journal Name
Journal Of Educational And Psychological Researches
Cognitive Distortions and Time Management as Predictors of Academic Procrastination among Students from Al Aqsa Community College
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The study aimed to reveal the possibility of predicting academic procrastination through both Cognitive distortions and time management among students of Al-Aqsa Community College, as well as to reveal the level of both cognitive distortions, time management, and academic procrastination. Additionally, it aimed to identify the size of the correlation between cognitive distortions, time management, and academic procrastination. The study sample consisted of (250) students from Al-Aqsa community college students. The results of the study concluded that the mean for each level of cognitive distortions and academic procrastination is average. The mean level of time management is high. There is a statistically significant positive relationshi

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