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Extending the storage life of some fruits by using Pullulan produced from locally isolate Aureobasidium pullulans: Extending the storage life of some fruits by using Pullulan produced from locally isolate Aureobasidium pullulans
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Six isolates of A. pullulans were collected from many sources including Hibiscus sabdariffa (Roselle), old Roofs of houses and bathroom surface that referred as Ap ros1, Ap or2, 3, 4 and Ap bs5, 6 respectively, all these isolates were identified based on morphological characteristics and nutritional physiology profiles, all were able to utilize various carbon and nitrogen sources such as glucose, xylose, sucrose, maltose, ammonium sulfate, ammonium nitrate and ammonium chloride, also they showed positive test for starch and amylase, while α-cellulose, ethanol, and methanol were could not be assimilated and could not grow in 0.05% cycloheximide, the other tests referred to different results among isolates, the Ap ros1 isolate from Hibiscus sabdariffa (Roselle) was selected for production of pullulan.

           Four bacterial strains of two gram (+) and two gram (-) were chosen for the tests. The effect of pullulan coating on bacterial growth was observed in all tested strains, it was 63, 65, 70 and 75% for Bacillus subtilis, Staphylococcus aureus, Escherichia coli and Salmonella typhimuram respectively.

The weight loss of uncoated peach was 3.2, 4.8, 6.1, 7, 7.2, 8.3 and 9.1%, while in coated peach with 10% pullulan were 3.1, 4.5, 5.8, 6.2, 6.8, 7.9 and 8.9%, and in coated peach with 20% pullulan were 2.9, 3.8, 4.1, 4.6, 5.8, 6.4 and 7.6%, when these samples are stored at 3, 6, 9, 12, 15, 18 and 21 days respectively that stored at 25°C, and when uncoated and coated peach with 10 and 20% pullulan stored at 4°C . The weight loss in uncoated peach was 0.01, 0.06, 0.16, 0.23, 0.35, 0.46, 0.6, 0.68, 0.73 and 0.75%, while in coated peach with 10% pullulan were 0.01, 0.05, 0.12, 0.16, 0.2, 0.3, 0.5, 0.58, 0.64 and 0.71%, and in coated peach with 20% pullulan were 0.015, 0.02, 0.04, 0.08, 0.1, 0.12, 0.18, 0.3, 0.46 and 0.5%, when these samples are stored at 1, 2, 3, 4, 5, 6, 7, 8, 9 and 10 days respectively.

The weight loss of uncoated pear was 1.4, 2, 2.6, 4.4, 5.5, 6.4 and 7.2%, while in coated peach with 10% pullulan were 1.2, 1.6, 2, 2.4, 4.3, 5.2 and 6.6%, and in coated peach with 20% pullulan were 0.8, 1, 1.4, 1.6, 3, 4.6 and 5.4%, when these samples are stored at 3, 6, 9, 12, 15, 18 and 21 days respectively that stored at 25°C, and when uncoated and coated pear with 10 and 20% pullulan that stored at 4°C. The weight loss is 0.02, 0.07, 0.14, 0.16, 0.3, 0.33, 0.44, 0.45, 0.52 and 0.54%, while in coated peach with 10% pullulan were 0.02, 0.06, 0.11, 0.16, 0.21, 0.3, 0.36, 0.38, 0.44 and 0.46%, and in coated peach with 20% pullulan were 0.01, 0.05, 0.08, 0.09, 0.1, 0.16, 0.19, 0.24, 0.26 and 0.28%, when these samples are stored at 1, 2, 3, 4, 5, 6, 7, 8, 9 and 10 days respectively.

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Publication Date
Thu Nov 07 2024
Journal Name
Journal Of Thermal Analysis And Calorimetry
Performance improvement of phase change material (PCM)-based shell-and-tube-type latent heat energy storage system utilizing curved fins
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Publication Date
Mon Jul 01 2024
Journal Name
Journal Of Food Process Engineering
Artificial intelligence‐based modeling of novel non‐thermal milk pasteurization to achieve desirable color and predict quality parameters during storage
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Abstract<sec><label></label><p>This study proposed using color components as artificial intelligence (AI) input to predict milk moisture and fat contents. In this sense, an adaptive neuro‐fuzzy inference system (ANFIS) was applied to milk processed by moderate electrical field‐based non‐thermal (NP) and conventional pasteurization (CP). The differences between predicted and experimental data were not significant (<italic>p</italic> > 0.05) for lightness (<italic>L</italic>*), redness‐greenness (<italic>a</italic>*), yellowness‐blueness (<italic>b</italic>*), total color differences (∆<italic>E</italic>), hue angle (<italic>h</italic></p></sec> ... Show More
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Publication Date
Fri Sep 30 2022
Journal Name
College Of Islamic Sciences
Sfaxi's guidance to alqira'at in "Ghaith al-Nafe fi alqira'at alsabe" From Surat Al-An'am to the end of Surat Hud
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The research deals with the collection of Allamah Ali al-Nuri’s guidance on readings, which he included in his book (Ghaith al-Naf’ fi al-Qira’at al-Sabe) and singled out it in a separate study, commenting on what needs to be commented and a statement of his guidance, and it consists of an introduction, and three chapters, the first: for the translation of Allamah Sfaxi, and the second: To define the science of guidance, its origins and authorship, and the third: to mention the readings that Al-Safaqi drew from Surat Al-An’am to the end of Surat Hud, followed by the conclusion of the research, then the index of sources and references, and I followed the inductive-analytical method in the research.

Among his most important

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Publication Date
Tue Jun 20 2023
Journal Name
Baghdad Science Journal
Synthesis, Characterization and Antioxidant Activity of New Azo Ligand and Some Metal Complexes of Tryptamine Derivatives
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Publication Date
Wed Oct 02 2024
Journal Name
International Development Planning Review
A COMPARATIVE STUDY OF THE AMOUNT OF FORCE EXERTED ON THE GROUND AND THE TIME OF PROPULSION IN THE VERTICAL AND HORIZONTAL JUMPING TESTS FROM STABILITY USING A FOOT SCAN DEVICE
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Publication Date
Thu Jun 30 2016
Journal Name
Al-kindy College Medical Journal
Detection of Thrombi in Left Atrial chamber by Transoesophageal Ecchocardiography in patients suffer from Non-rheumatic Atrial Fibrillation
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Background: Background : Patients with non-rheumatic atrial fibrillation have high risk of thromboembolism especially ischemic stroke usually arising from left atrial appendage .Transoesophageal echocardiography provides useful information for risk stratification in these patients as it detects thrombus in the left atrial or left atrial appendage. Objective : This study was conducted at Al-Kadhimiya Teaching Hospital to assess the prevalence of left atrial chamber thrombi in patients with chronic non-rheumatic atrial fibrillation using transoesophageal echocardiography and its clinical significance as well as to verify the superiority of transoesophageal over transthoracic echocardiography in the detection of these abnormalities. Type of

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Publication Date
Fri Jan 01 2021
Journal Name
Aip Conf. Proc.
Preparation of nanostructured MnO2/carbon fiber composite electrode for removal of Cu2+ ions from aqueous solution by electrosorption process
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The nanostructured Manganese dioxide/Carbon fiber (CF) composite electrode was prepared galvanostatically using a facile method of anodic electrodeposition by varying the reaction time and MnSO4 concentration of the electrochemical solution. The effects of these parameters on the structures and properties of the prepared electrode were evaluated. For determining the crystal characteristics, morphologies, and topographies of the deposited MnO2 films onto the surfaces of carbon fibers, the X-ray diffraction (XRD), field emission scanning electron microscopy (FESEM), and atomic force microscopy (AFM) techniques were used, respectively. It found that the carbon fibers were coated with γ-MnO2 with a density that increased with increasing the de

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Publication Date
Sat Apr 30 2022
Journal Name
Eastern-european Journal Of Enterprise Technologies
Improvement of noisy images filtered by bilateral process using a multi-scale context aggregation network
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Deep learning has recently received a lot of attention as a feasible solution to a variety of artificial intelligence difficulties. Convolutional neural networks (CNNs) outperform other deep learning architectures in the application of object identification and recognition when compared to other machine learning methods. Speech recognition, pattern analysis, and image identification, all benefit from deep neural networks. When performing image operations on noisy images, such as fog removal or low light enhancement, image processing methods such as filtering or image enhancement are required. The study shows the effect of using Multi-scale deep learning Context Aggregation Network CAN on Bilateral Filtering Approximation (BFA) for d

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Publication Date
Tue Jun 01 2021
Journal Name
Iop Conference Series: Earth And Environmental Science
Treatment of Al-Muthanna Petroleum Refinery Wastewater by Electrocoagulation Using a Tubular batch Electrochemical Reactor
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Abstract<p>An electrocoagulation process has been used to eliminate the chemical oxygen demand (COD) from wastewaters discharged from the Al-Muthanna petroleum refinery plant. In this process, a circular aluminum bar was used as a sacrificial anode, and hallow cylinder made from stainless steel was used as a cathode in a tubular batch electrochemical Reactor. Impacts of the operating factors like current density (5-25mAcm<sup>-2</sup>), NaCl addition at concentrations (0-2g/l), and pH at values (3-11) on the COD removal efficiency were studied.</p><p>Results revealed that the increase in current density increases the COD removal efficiency, whereas an increase</p> ... Show More
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Publication Date
Sun Feb 03 2019
Journal Name
Iraqi Journal Of Physics
Electrical properties of pure NiO and NiO:Au thin films prepared by using pulsed laser deposition
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The electrical properties of pure NiO and NiO:Au Films which are
deposited on glass substrate with various dopant concentrations
(1wt.%, 2wt%, 3wt.% and 4wt.%) at room temperature 450 Co
annealing temperature will be presented. The results of the hall effect
showed that all the films were p-type. The Hall mobility decreases
while both carrier concentration and conductivity increases with the
increasing of annealing temperatures and doping percentage, Thus,
indicating the behavior of semiconductor, and also the D.C
conductivity from which the activation energy decrease with the
doping concentration increase and transport mechanism of the charge
carriers can be estimated.

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