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Search Results: 1 - 10 of 20624 matches for " Mohamed El Nahas "
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Profile Hidden Markov Model for Detection and Prediction of Hepatitis C Virus Mutation
Mohamed El Nahas,Samar Kassim,Nabila Shikoun
International Journal of Computer Science Issues , 2012,
Abstract: Hepatitis C virus (HCV) is a widely spread disease all over the world. HCV has very high mutation rate that makes it resistant to antibodies. Modeling HCV to identify the virus mutation process is essential to its detection and predicting its evolution. This paper presents a model of HCV based on profile hidden Markov model (PHMM) architecture. An iterative model learning procedure is proposed and applied to both full-length sequence of virus and its very high variation (mutation) zone called NS5A. A pilot study on HCV dataset of type 4 is conducted which is of special concern in Egypt
Model Based Framework for Estimating Mutation Rate of Hepatitis C Virus in Egypt
Nabila Shikoun,Mohamed El Nahas,Samar Kassim
Computer Science , 2013,
Abstract: Hepatitis C virus (HCV) is a widely spread disease all over the world. HCV has very high mutation rate that makes it resistant to antibodies. Modeling HCV to identify the virus mutation process is essential to its detection and predicting its evolution. This paper presents a model based framework for estimating mutation rate of HCV in two steps. Firstly profile hidden Markov model (PHMM) architecture was builder to select the sequences which represents sequence per year. Secondly mutation rate was calculated by using pair-wise distance method between sequences. A pilot study is conducted on NS5B zone of HCV dataset of genotype 4 subtype a (HCV4a) in Egypt.
Assignment of PCR markers to river buffalo chromosomes
Hanaa A Oraby, Soheir M El Nahas, H Anna de Hondt, Akmal El Ghor, Mohamed Samad
Genetics Selection Evolution , 1998, DOI: 10.1186/1297-9686-30-1-71
Abstract:
Predictors of Success after Extracorporeal Shock Wave Lithotripsy (ESWL) for Renal Calculi Between 20—30 mm: A Multivariate Analysis Model
Ahmed El-Assmy,Ahmed R. El-Nahas,Mohamed E. Abo-Elghar,Ibrahim Eraky
The Scientific World Journal , 2006, DOI: 10.1100/tsw.2006.370
Abstract:
Robust Facial Expression Recognition via Sparse Representation and Multiple Gabor filters
Rania Salah El-Sayed,Prof.Dr. Ahmed El Kholy,Prof.Dr. Mohamed Youssri El-Nahas
International Journal of Advanced Computer Sciences and Applications , 2013,
Abstract: Facial expressions recognition plays important role in human communication. It has become one of the most challenging tasks in the pattern recognition field. It has many applications such as: human computer interaction, video surveillance, forensic applications, criminal investigations, and in many other fields. In this paper we propose a method for facial expression recognition (FER). This method provides new insights into two issues in FER: feature extraction and robustness. For feature extraction we are using sparse representation approach after applying multiple Gabor filter and then using support vector machine (SVM) as classifier. We conduct extensive experiments on standard facial expressions database to verify the performance of proposed method. And we compare the result with other approach.
A New Image Fusion Technique to Improve the Quality of Remote Sensing images
Aboubaker Milad Ahmed,Fawzy Eltohamy Hassan Amen,Mohamed Yousry Ahmed El Nahas,Guda Ismail Salama
International Journal of Computer Science Issues , 2013,
Abstract: Image fusion is a process of producing a single fused image from a set of input images. In this paper a new fusion technique based on the use of independent component analysis (ICA) and IHS transformation is proposed. A comparison of this new technique with PCA, IHS, and ICA-based fusion techniques is given. Quick Bird data are used to test these techniques, the output was evaluated using subjective comparison, statistical correlation, information entropy, mean square error, and standard deviation. The results of the proposed technique show higher performance compared to the other techniques.
Two Spectrophotometric Assays for Dopamine Derivatives in Pharmaceutical Products and in Biological Samples of Schizophrenic Patients Using Copper Tetramine Complex and Tri-iodide Reagent
F. A. Nour El-Dien,M. A. Zayed,Gehad. G. Mohamed,Reham G. El-Nahas
Journal of Biomedicine and Biotechnology , 2005, DOI: 10.1155/jbb.2005.1
Abstract: Two simple, rapid, and sensitive spectrophotometric methods are proposed for the determination of levodopa (LD). The first method is based on coupling of 4-aminoantipyrine (4-AAP) with one of the dopamine derivatives (LD, CD) to give a new ligand that reacts with copper tetramine complex to give intensely colored chelates. The colored products are quantified spectrophotometrically at 525 and 520 nm for LD and CD, respectively. The optimization of the experimental conditions is described. The method has been used for the determination of 19.7–69.0 and 18.1–54.3μg mL−1 of LD and CD, respectively. The accuracy of the method is achieved by the values of recovery (100±0.2%) and the precision is supported by the low standard deviation (SD =0.17–0.59) and relative standard deviation (CV =0.4%–1.54%) values. The second method is based on the formation of ion-pair iodinated inner sphere or outer sphere colored complexes between the LD and triiodide ions at pH 5 and room temperature (23±3°C). This method has been used for the determination of LD within the concentration range 39.44–78.88μg mL−1 with SD =0.22–0.24 and recovery percent =100±0.3%. The sensitivity of the two methods is indicated by Sandell's sensitivity of 0.014–0.019 g cm−2. The results of the two methods are compared with those of the official method. The interference of common drug additives, degradation products, and excipients was also studied. The proposed methods were applied successfully to the determination of the LD-CD synthetic mixture and Levocare drug. The determination of LD in urine of some schizophrenic patients was applied with good precision and accuracy. The reliability of the methods was established by parallel determinations against the official British pharmacopoeia method.
Two Spectrophotometric Assays for Dopamine Derivatives in Pharmaceutical Products and in Biological Samples of Schizophrenic Patients Using Copper Tetramine Complex and Tri-iodide Reagent
Nour El-Dien F. A.,Zayed M. A.,Mohamed Gehad. G.,El-Nahas Reham G.
Journal of Biomedicine and Biotechnology , 2005,
Abstract: Two simple, rapid, and sensitive spectrophotometric methods are proposed for the determination of levodopa (LD). The first method is based on coupling of 4-aminoantipyrine (4-AAP) with one of the dopamine derivatives (LD, CD) to give a new ligand that reacts with copper tetramine complex to give intensely colored chelates. The colored products are quantified spectrophotometrically at 525 and 520 nm for LD and CD, respectively. The optimization of the experimental conditions is described. The method has been used for the determination of 19.7 –69.0 and 18.1 –54.3 μ g mL 1 of LD and CD, respectively. The accuracy of the method is achieved by the values of recovery (100 ± 0.2 %) and the precision is supported by the low standard deviation (SD = 0.17 –0.59 ) and relative standard deviation (CV = 0.4 %–1.54 %) values. The second method is based on the formation of ion-pair iodinated inner sphere or outer sphere colored complexes between the LD and triiodide ions at pH 5 and room temperature (23 ± 3 ° C). This method has been used for the determination of LD within the concentration range 39.44 –78.88 μ g mL 1 with SD = 0.22 –0.24 and recovery percent = 100 ± 0.3 %. The sensitivity of the two methods is indicated by Sandell's sensitivity of 0.014 –0.019 g cm 2 . The results of the two methods are compared with those of the official method. The interference of common drug additives, degradation products, and excipients was also studied. The proposed methods were applied successfully to the determination of the LD-CD synthetic mixture and Levocare drug. The determination of LD in urine of some schizophrenic patients was applied with good precision and accuracy. The reliability of the methods was established by parallel determinations against the official British pharmacopoeia method.
Quantum Entanglement as a Consequence of a Cantorian Micro Spacetime Geometry  [PDF]
Mohamed S. El Naschie
Journal of Quantum Information Science (JQIS) , 2011, DOI: 10.4236/jqis.2011.12007
Abstract: Building upon the pioneering work of J. Bell [1] and an incredible result due to L. Hardy [2] it was shown that the probability of quantum entanglement of two particles is a maximum of 9.0169945 percent [2]. This happens to be exactly the golden mean to the power of five (?5) [3-7]. Although it has gone largely unnoticed for a long time, this result was essentially established independently in a much wider context by the present author almost two decades ago [3-6]. The present work gives two fundamentally different derivations of Hardy’s beautiful result leading to precisely the same general conclusion, namely that by virtue of the zero measure of the underlying Cantorian-fractal spacetime geometry the notion of spatial separability in quantum physics is devoid of any meaning [7]. The first derivation is purely logical and uses a probability theory which combines the discrete with the continuum. The second derivation is purely geometrical and topological using the fundamental equations of a theory developed by the author and his collaborators frequently referred to as E-infinity or Cantorian spacetime theory [3-7].
Sinc-Collocation Method for Solving Linear and Nonlinear System of Second-Order Boundary Value Problems  [PDF]
Mohamed El-Gamel
Applied Mathematics (AM) , 2012, DOI: 10.4236/am.2012.311225
Abstract: Sinc methods are now recognized as an efficient numerical method for problems whose solutions may have singularities, or infinite domains, or boundary layers. This work deals with the sinc-collocation method for solving linear and nonlinear system of second order differential equation. The method is then tested on linear and nonlinear examples and a comparison with B-spline method is made. It is shown that the sinc-collocation method yields better results.
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