Al Mansurah, Egypt
Al Mansurah, Egypt

Mansoura University was founded in 1972 in Mansoura city, Egypt. Now, it also has a branch in Damietta. It is one of the biggest Egyptian universities and has contributed much to the cultural and scientific life in Mansoura and Egypt. Wikipedia.

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Elsherbiny N.M.,Mansoura University
Inflammation & allergy drug targets | Year: 2013

Diabetes is one of the risk factors to human health, which progressively leads to renal complications known as diabetic nephropathy. Many previous studies illustrated biochemical and morphological abnormalities in various animal models of diabetic nephropathy, which may be attributed to altered action of adenosine, an endogenous purine nucleoside released from various tissues and organs. Adenosine is a potent autocrine anti-inflammatory and immunosuppressive molecule that is released from cells into the extracellular space at sites of inflammation and tissue injury. This review will give a general overview of the adenosine receptors and focuses on their role in diabetes nephropathy. The insight into the signaling pathway through adenosine receptors could be helpful in developing novel therapeutic tools to regulate the pathophysiological conditions that arise progressively in diabetes.

Elalami M.E.,Mansoura University
Knowledge-Based Systems | Year: 2011

This paper presents a proposed model for content-based image retrieval (CBIR) which depends only on extracting the most relevant features according to a feature selection technique. The suggested feature selection technique aims at selecting the optimal features that not only maximize the detection rate but also simplify the computation of the image retrieval process. The proposed model is divided into three main techniques, the first one is concerned with the features extraction from images database, the second is performing feature discrimination, and the third is concerned with the feature selection from the original ones. As for the first technique, the 3D color histogram and the Gabor filter algorithm are used to extract the color and texture features respectively. While the second technique depends on a genetic algorithm (GA) for replacing numerical features with nominal features that represent intervals of numerical domains with discrete values. The GA is utilized in this technique to obtain the optimal boundaries of these intervals, and consequently to reduce the complexity in feature space. In the third technique, the feature selection performs two successive functions which are called preliminary and deeply reduction for extracting the most relevant features from the original features set. Indeed, the main contribution of the proposed model is providing a precise image retrieval in a short time. © 2010 Elsevier B.V. All rights reserved.

El-Haddad M.N.,Mansoura University
Carbohydrate Polymers | Year: 2014

The inhibition effect of hydroxyethylcellulose (HEC) on 1018 c-steel corrosion in 3.5% NaCl solution was investigated by using potentiodynamic polarization, electrochemical frequency modulation (EFM) and electrochemical impedance spectroscopy (EIS) techniques. The potentiodynamic polarization studies suggested that HEC acts as a mixed-type inhibitor. Data obtained from EIS were analyzed to model the corrosion inhibition process through equivalent circuit. Results obtained from EFM technique were shown to be in agreement with potentiodynamic and EIS techniques. The adsorption behavior of HEC on steel surface follows the Langmuir adsorption isotherm. Thermodynamic parameter (ΔG°ads) and activation parameters (Ea*, ΔH* and ΔS*) were calculated to investigate mechanism of inhibition. Scanning electron microscopy (SEM) and energy dispersive X-ray (EDX) analysis system were performed to characterize the film formed on the metal surface. DMol3 quantum chemical calculations were performed to support the adsorption mechanism with the structure of HEC molecule. © 2014 The Authors. Published by Elsevier Ltd.

This paper introduces a novel classification model for cotton yarn quality. The proposed model is composed of two major techniques namely: Artificial Neural Network (ANN) and genetic algorithm (GA). First, training the ANN on encoding database to extract the weights between input and hidden layer, and hidden and output layer. Consequently, the output function for each output node of ANN can be constructed as a function of input attributes values and the specific obtained weights. This function is nonlinear exponential function depending only on the values of input attributes. Second, the genetic algorithm is used to find the optimal values of the input chromosomes (attributes) which maximize the nonlinear exponential function of the output node of ANN. Finally, the results of the optimum chromosomes are decoded and used to get a rule belonging to a specific class. © 2012 Elsevier B.V. All rights reserved.

Experiments were performed on natural convection heat transfer from circular pin fin heat sinks subject to the influence of its geometry, heat flux and orientation. The geometric dependence of heat dissipation from heat sinks of widely spaced solid and hollow/perforated circular pin fins with staggered combination, fitted into a heated base of fixed area is discussed. Over the tested range of Rayleigh number, 3.8×106≤Ra≤1.65×107, it was found that the solid pin fin heat sink performance for upward and sideward orientations shows a competitive nature, depending on Rayleigh number and generally shows higher heat transfer coefficients than those of the perforated/hollow pin fin ones in both arrangement. For all tested hollow/perforated pin fin heat sinks, however, the performance for sideward facing orientation was better than that for upward facing orientation. This argument is supported by observing that the augmentation factor was around 1.05-1.11, depending on the hollow pin diameter ratio, Di/Do. Meanwhile, the heat sink of larger hollow pin diameter ratio, Di/. Do offered higher heat transfer coefficient than that of smaller Di/Do for upward orientation, and the situation was reversed for sideward orientation. The heat transfer performance for heat sinks with hollow/perforated pin fins was better than that of solid pins. The temperature difference between the base plate and surrounding air of these heat sinks was less than that of solid pin one and improved with increasing Di/Do. © 2010.

El-Haddad M.N.,Mansoura University
International Journal of Biological Macromolecules | Year: 2013

The behavior of copper in 0.5. M HCl acid containing different concentrations of chitosan has been studied by weight loss, potentiodynamic polarization, electrochemical impedance spectroscopy (EIS) and electrochemical frequency modulation (EFM) measurements. Potentiodynamic polarization measurements show that the chitosan acts essentially as a mixed-type inhibitor. EFM can be used as a rapid and non destructive technique for corrosion rate measurements without prior knowledge of Tafel constants. The results of EIS indicate that the value of CPEs tends to decrease and both charge transfer resistance and inhibition efficiency tend to increase by increasing the inhibitor concentration. The investigated inhibitor has shown good inhibition efficiency in 0.5. M HCl. The adsorption of inhibitor on the copper surface obeys Langmuir's isotherm. Metal surface characterization was performed using scanning electron microscope (SEM) and Fourier transform infrared spectroscopy (FT-IR). Also, the relationship between quantum chemical calculations and experimental inhibition efficiency of the inhibitor was discussed. © 2013.

Elalami M.E.,Mansoura University
Applied Soft Computing Journal | Year: 2014

Adopting effective model to access the desired images is essential nowadays with the presence of a huge amount of digital images. The present paper introduces an accurate and rapid model for content based image retrieval process depending on a new matching strategy. The proposed model is composed of four major phases namely: features extraction, dimensionality reduction, ANN classifier and matching strategy. As for the feature extraction phase, it extracts a color and texture features, respectively, called color co-occurrence matrix (CCM) and difference between pixels of scan pattern (DBPSP). However, integrating multiple features can overcome the problems of single feature, but the system works slowly mainly because of the high dimensionality of the feature space. Therefore, the dimensionality reduction technique selects the effective features that jointly have the largest dependency on the target class and minimal redundancy among themselves. Consequently, these features reduce the calculation work and the computation time in the retrieval process. The artificial neural network (ANN) in our proposed model serves as a classifier so that the selected features of query image are the input and its output is one of the multi classes that have the largest similarity to the query image. In addition, the proposed model presents an effective feature matching strategy that depends on the idea of the minimum area between two vectors to compute the similarity value between a query image and the images in the determined class. Finally, the results presented in this paper demonstrate that the proposed model provides accurate retrieval results and achieve improvement in performance with significantly less computation time compared with other models. © 2013 Elsevier B.V. All rights reserved.

Elnaghy A.M.,Mansoura University
International Endodontic Journal | Year: 2014

Aim: To investigate the effect of QMix irrigant compared with several other irrigating solutions on the bond strength of glass fibre posts to root dentine and on smear layer removal after post space preparation. Methodology: One hundred and fifty single-rooted teeth were used. The specimens were divided into six groups in each test according to the irrigation regimen used: group 1, distilled water; group 2, 5.25% sodium hypochlorite (NaOCl); group 3, 2% chlorhexidine digluconate (CHX); group 4, 17% ethylenediaminetetraacetic acid (EDTA); group 5, 17% EDTA followed by 2% CHX; and group 6, QMix. Dual-cure self-adhesive resin cement (i CEM; Heraeus Kulzer, Hanau, Germany) was used for testing the adhesion of glass fibre post (Reblida; VOCO, Cuxhaven, Germany) to root dentine using a micropush-out test. Debonding specimens were examined with a scanning electron microscope. Scanning electron microscopy was also used to examine and score the treated specimens for debris removal and dentinal tubule opening. Micropush-out data were analysed using anova and Tukey's test. Debris and dentinal tubule opening scores were analysed with the Kruskal-Wallis and Mann-Whitney U-tests. Results: QMix and 17% EDTA/2% CHX demonstrated the highest mean bond strength values in all root levels amongst the groups. Most failure modes were adhesive type of failures between post and luting material (42.6%). QMix, 17% EDTA and 17% EDTA/2% CHX performed significantly better than the other groups on smear layer removal and dentinal tubule opening. Conclusion: QMix is an effective irrigant that can remove smear layer, open dentinal tubules and simplify the irrigation protocol, without compromising the bonding strength of glass fibre posts cemented with a self-adhesive resin cement to root dentine. © 2013 International Endodontic Journal.

Objective: This study evaluated the effect of different chemical surface treatments on the adhesion of resin-core materials to methacrylate resin-based glass fiber posts. Methods: Two types of glass fiber posts (Reblida post; VOCO and RelyX post; 3M ESPE) were divided into eight groups according to the surface treatment used; Gr 1 (control; no surface treatment), Gr 2 (silanization for 60 s), Gr 3 (10% H2O2 for 5 min), Gr 4 (10% H 2O2 for 10 min), Gr 5 (30% H2O2 for 5 min), Gr 6 (30% H2O2 for 10 min), Gr 7 (CH 2Cl2 for 5 min) and Gr 8 (CH2Cl2 for 10 min). Two resin core materials (Grandio DC; VOCO and Filtek P60; 3M ESPE) were applied to each group for testing the adhesion using micropush-out test. Failure types were examined with stereomicroscope and surface morphology of the posts was characterized after treatment using a scanning electron microscope (SEM). Data were analyzed using ANOVA and Tukey's test. Results: The type of post, surface treatment, and core material showed a significant effect on the micropush-out bond strength (P < 0.001). Groups treated with CH 2Cl2 or 30% H2O2 solutions for 5 or 10 min showed the highest adhesion values for both types of posts with the core materials tested. Stereomicroscope showed that most failure modes were adhesive type of failures between post and core material. SEM analysis revealed that the fiber post surfaces were modified after chemical surface treatments. Significance: Application of CH2Cl2 or 30% H 2O2 to the fiber post surfaces enhanced the adhesion to resin cores. © 2013 Academy of Dental Materials. Published by Elsevier Ltd. All rights reserved.

Foda A.A.-R.M.,Mansoura University
Applied Immunohistochemistry and Molecular Morphology | Year: 2013

Manual tissue microarray (TMA) construction had been introduced to avoid the high cost of automated and semiautomated techniques. The cheapest and simplest technique for constructing manual TMA was that of using mechanical pencil tips. This study was carried out to modify this method, aiming to raise its quality to reach that of expensive ones. Some modifications were introduced to Shebl's technique. Two conventional mechanical pencil tips of different diameters were used to construct the recipient blocks. A source of mild heat was used, and blocks were incubated at 38 C overnight. With our modifications, 3 high-density TMA blocks were constructed. We successfully performed immunostaining without substantial tissue loss. Our modifications increased the number of cores per block and improved the stability of the cores within the paraffin block. This new, modified technique is a good alternative for expensive machines in many laboratories. Copyright © 2012 by Lippincott Williams & Wilkins.

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