Madinat Sittah Uktubar, Egypt

Modern Sciences and Arts University
Madinat Sittah Uktubar, Egypt

Modern science and Arts University is located in Cairo, Egypt .It was founded in 1996. Wikipedia.

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El-Refaei M.F.,Menoufia University | El-Naa M.M.,Modern Sciences and Arts University
Chemico-Biological Interactions | Year: 2010

This study aims at investigating the anti-tumor effect of caffeic acid phenethyl ester (CAPE) against animal carcinogenesis. In order to substantiate this fact implanted tumor Ehrlich carcinoma cells were assessed in vivo to Swiss mice strain. We found that administrating of CAPE (15. mg/kg S.C.) showed that the tumor volume decreased significantly by 51%. As a result, it improved animal chances of survival and they became healthier. An anti-angiogenic effect of CAPE in vivo was observed, as determined by a significant serum matrix metalloproteinase (MMP-9) reduction (142.1. ng/ml), activation of endostatin serum level (1.9. ng/ml), as well as DNA fragmentation in tumor treated mice when compared with untreated ones. Conclusion: CAPE has a significant inhibitory effect on tumor in vivo. This inhibition may be related to its angiostatic and apoptotic effects. It also reduced angiogenic factors which may shift the equilibrium to the angiostatic effect of CAPE. These findings provide the possibility for the future use of CAPE as tumor therapy in human clinical trials. © 2010 Elsevier Ireland Ltd.

El-Sharkawy K.A.,Modern Sciences and Arts University
Journal of Pharmaceutical Sciences and Research | Year: 2011

The synthesis of different 2-substituted-3-acetyl-thiazolidine-4-carbonyl amino acid methyl esters (3-11) by coupling 2-substituted-3-acetyl-thiazolidine-4-carboxylic acid with amino acid methyl ester hydrochloride, corresponding amino acid hydrazides (12-20) via hydrazinolysis using hydrazine hydrate and 2-substituted- 3-acetyl-thiazolidine-4-carbonyl-N-benzylidine glycine hydrazone derivatives (21-26) were prepared via the condensation reaction of 2-substituted-3-acetyl-thiazolidine-4-carbonyl amino acid hydrazides with benzaldehyde and 4-chlorobenzaldehyde. The structures of the synthesized compounds were established by IR, 1H-NMR and MS data and elemental analysis results. The synthesized compounds were tested against different types of microorganism included gram-positive, gram-negative microorganisms Bacillius subtilis, Bacillus pumilus, Pesudomonas aeruginosa and Escherichia coli and the fungi Candida utilis. Some of the synthesized compounds were found to possess antimicrobial activities towards different type of microorganisms.

Labib S.S.,Modern Sciences and Arts University
International Conference on Electronic Devices, Systems, and Applications | Year: 2017

It is very difficult to implement an efficient analysis by using the customary techniques currently available; this is due to the fact that the data size has had a huge increase. Many complications were faced because of the numerous characteristics of big data; some of them include complexity, value, variability, variety, velocity, and volume. The objective of this paper is to implement classification techniques using the map reduce framework using fuzzy and crisp methods, also to arrange for a study that can compare and contrast the outcomes of the suggested systems against the methods appraised in the documented works. For this research the applied method for the fuzzy technique is the fuzzy k-nearest neighbor, and for the non-fuzzy techniques both the support vector machine and the k-nearest neighbor are used. The use of the map reduce paradigm is applied to be able to process big data. We also implemented an integrated system using the Support Vector Machine with the fuzzy soft label and Gaussian fuzzy membership. Results show that fuzzy k-nearest neighbor classifier gives higher accuracy but it takes a lot of time in classification compared to the other techniques. But the outcomes when projected onto other data sets demonstrate that the suggested method that used fuzzy logic in the Reducer function gives higher accuracy and lower time than the new suggested methods and the methods revised in the paper. © 2016 IEEE.

Bakr R.O.,Modern Sciences and Arts University
International Journal of Pharmacognosy and Phytochemical Research | Year: 2014

Artemisia judaica L. (Asteraceae) is a perennial fragrant small shrub widely growing in desert and coast of Egypt. Microscopical features of the leaves were characterized by the presence of non glandular T-shaped trichomes beside the tube like secretory duct responsible for oil production and storage. Phenolic and flavonoid contents were estimated using colorimetric assays where ethyl acetate had the highest phenolic and flavonoid contents. Orientin was the major identified flavonoid. Radical scavenging activity was estimated using DPPH assay where butanol extract showed the highest potency compared with ascorbic acid and butylated hydroxyanisol. A. judaica represents a future antioxidant candidate from natural source. © 2014, International Journal of Pharmacognosy and Phytochemical Research. All rights reserved.

Bakr R.O.,Modern Sciences and Arts University | El Bishbishy M.H.,Modern Sciences and Arts University
Brazilian Journal of Pharmacognosy | Year: 2016

The present study was designed to investigate polyphenolic and sulphur contents of the aerial parts of Capparis spinosa var.aegyptia (Lam.) Boiss., Capparaceae, wildly growing in Egypt.The chemical compositions of the water distilled essential oil were investigated by GC/MS analysis where the major constituent of the oil was methyl isothiocyanate (24.66%).Hydroethanolic extract was evaluated by LC-HRESI-MS-MS in both positive and negative modes.Forty-two compounds were identified including quercetin, kaempferol and isorhamnetin derivatives in addition to myricetin, eriodictyol, cirsimaritin and gallocatechin derivatives.Quercetin tetrahexoside dirhamnoside as well as kaempferol dihexoside dirhamnoside have not been identified before in genus Capparis.Phenolic acids, such as quinic acid, p-coumaroyl quinic acid and chlorogenic acid were also identified.Evaluation of cytotoxic activity of hydroethanolic extract against three human cancer cell lines (MCF-7; breast adenocarcinoma cells, Hep-G2; hepatocellular carcinoma cells and HCT-116; colon carcinoma) using 3-[4,5-dimethylthiazole-2-yl]-2,5-diphenyltetrazolium bromide (MTT) assay showed significant effect with IC50 values 24.5, 24.4 and 11 µg/ml, compared to Doxorubicin as a standard cytotoxic drug.C.spinosa revealed itself as a promising candidate for nutraceutical researches. © 2016 Sociedade Brasileira de Farmacognosia.

Azar A.T.,Modern Sciences and Arts University
International Journal of Industrial and Systems Engineering | Year: 2012

System dynamics (SD) is a powerful methodology and computer simulation modelling technique for framing, understanding and discussing complex issues and problems. It is widely used to analyse a range of systems in, e.g. business, ecology, medical and social systems as well as engineering. The methodology focuses on the way one quantity can affect others through the flow of physical entities and information. Often such flows come back to the original quantity causing a feedback loop. The behaviour of the system is governed by these feedback loops. There are two important advantages of taking systems dynamics approach. The interrelationship of the different elements of the systems can be easily seen in terms of cause and effects. Thus the true cause of the behaviour can be identified. The other advantage is that it possible to investigate which parameters or structures need to be changed in order to improve behaviour. This paper deals with the design of a framework for SD models and gives an overview of the current SD simulation packages. Copyright © 2012 Inderscience Enterprises Ltd.

Abdallah O.M.,Modern Sciences and Arts University
E-Journal of Chemistry | Year: 2011

Sensitive, simple and accurate high performance liquid chromatographic (HPLC) methods for the determination of atorvastatin (AT), fluvastatin (FL) and pravastatin (PV) have been developed. The proposed methods involve the use of a 150 mmx4.6 mm Zorbax Extend-C18 column (5 μm particle size) and different chromatographic conditions for the separation of the three statins. Linearity range was 5-40, 5-30 and 10-60 μg mL-1 for AT, FL and PV respectively. The developed methods proved to be successful in the determination of all studied drugs in spiked human plasma samples.

Azar A.T.,Modern Sciences and Arts University
International Journal of Intelligent Systems Technologies and Applications | Year: 2011

Total dialysis dose (Kt/V) is considered to be a major determinant of morbidity and mortality in haemodialysed patients. The continuous growth of the blood urea concentration over the 30-60-min period following dialysis, a phenomenon known as urea rebound, is a critical factor in determining the true dose of haemodialysis (HD). The misestimation of the equilibrated (true) postdialysis blood urea or equilibrated Kt/V results in an inadequate HD prescription, with predictably poor clinical outcomes for the patients. The estimation of the equilibrated post-dialysis blood urea (C eq) is therefore crucial in order to estimate the equilibrated (true) Kt/V. Measuring post-dialysis urea rebound (PDUR) requires a 30- or 60-min post-dialysis sampling, which is inconvenient. This paper presents a novel technique for predicting equilibrated urea concentration and PDUR in the form of a Takagi-Sugeno-Kang fuzzy inference system. The advantage of this neuro-fuzzy hybrid approach is that it does not require 30-60-min post-dialysis urea sample. Adaptive neuro-fuzzy inference system (ANFIS) was constructed to predict equilibrated urea (C eq) taken at 60 min after the end of the HD session in order to predict PDUR. The accuracy of the ANFIS was prospectively compared with other traditional methods for predicting equilibrated urea (C eq), PDUR and equilibrated dialysis dose ( eqKt/V). The results are highly promising, and a comparative analysis suggests that the proposed modelling approach outperforms other traditional urea kinetic models. © 2011 Inderscience Enterprises Ltd.

Azar A.T.,Modern Sciences and Arts University
International Journal of Modelling, Identification and Control | Year: 2011

The classification of the electrocardiogram (ECG) into different patho-physiological disease categories is a complex pattern recognition task. This paper presents an intelligent diagnosis system using hybrid approach of adaptive neuro-fuzzy inference system (ANFIS) model for classification of electrocardiogram (ECG) signals. Wavelet-transform is used for effective feature extraction and ANFIS is considered for the classifier model. It can parameterise the incoming ECG signals and then classify them into eight major types for health reference: left bundle branch block (LBBB), normal sinus rhythm (NSR), pre-ventricular contraction (PVC), atrial fibrillation (AF), ventricular fibrillation (VF), complete heart block (CHB), ischemic dilated cardiomyopathy (ISCH) and sick sinus syndrome (SSS). The inclusion of adaptive neuro-fuzzy interface system (ANFIS) in the complex investigating algorithms yields very interesting recognition and classification capabilities across a broad spectrum of biomedical problem domains. The performance of the ANFIS model is evaluated in terms of training performance and classification accuracies and the results confirmed that the proposed ANFIS model has potential in classifying the ECG signals. Cross validation is used to measure the classifier performance. A testing classification accuracy of 95% is achieved which is a significant improvement. Copyright © 2011 Inderscience Enterprises Ltd.

Azar A.T.,Modern Sciences and Arts University
Saudi journal of kidney diseases and transplantation : an official publication of the Saudi Center for Organ Transplantation, Saudi Arabia | Year: 2011

Post-dialysis urea rebound (PDUR) is a cause of Kt/V overestimation when it is calculated from pre-dialysis and the immediate post-dialysis blood urea collections. Measuring PDUR requires a 30-or 60-min post-dialysis sampling, which is inconvenient. In this study, a supervised neural network was proposed to predict the equilibrated urea (C eq) at 60 min after the end of hemodialysis (HD). Data of 150 patients from a dialysis unit were analyzed. C eq was measured 60 min after each HD session to calculate PDUR, equilibrated urea reduction rate eq (URR), and ( eq Kt/V). The mean percentage of true urea rebound measured after 60 min of HD session was 19.6 ± 10.7. The mean urea rebound observed from the artificial neural network (ANN) was 18.6 ± 13.9%, while the means were 24.8 ± 14.1% and 21.3 ± 3.49% using Smye and Daugirdas methods, respectively. The ANN model achieved a correlation coefficient of 0.97 (P <0.0001), while the Smye and Daugirdas methods yielded R = 0.81 and 0.93, respectively (P <0.0001); the errors of the Smye method were larger than those of the other methods and resulted in a considerable bias in all cases, while the predictive accuracy for ( eq Kt/V) 60 was equally good by the Daugirdas' formula and the ANN . We conclude that the use of the ANN urea estimation yields accurate results when used to calculate ( eq Kt/V).

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