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Quantum-chemical investigation on 5-fluorouracil
anticancer drug

Research Abstract
DFT with B3LYP/6-311++G(d,p) level were used for all calculations in this work. In biological system, 5-FU- 3H2O has the highest stabilization energy compared to 5-FU- 3NH3, 5-FU dimer, and 5-FU monomer. The chemical interactions of 2′-deoxyribose radical with uracil and 5-FU radicals to form 2′-deoxyuridine and 2′-deoxy-5-fluorouridine show that the difference in stabilization energies, ΔE, for their formation are quite low which facilitates the exchange reactions in DNA structure. Size, shape density distributions, and chemical reactivity sites of 5-FU were obtained by mapping electron density isosurface with electronic surface. Additionally, the intermolecular hydrogen bonding in 5-FU (sugarphosphate) backbone system was simulated by NBO analysis to describe the role of intermolecular hydrogen bonding on the structure and chemical reactivity of 5-FU in biological systems. Molecular docking study of the interaction between 5- FU and human serum albumin (HSA) indicated that 5-FU binds to HSAwith low affinity and low specificity compared to other anticancer drugs.
Research Authors
Hala Sh. Mohamed, AbdelRahman A. Dahy, Galal S. Hassan, Samir-Shehata M. Eid,
Refaat M. Mahfouz
Research Journal
Struct Chem
Research Pages
pp. 1093–1109
Research Publisher
NULL
Research Rank
1
Research Vol
vol. 28
Research Website
NULL
Research Year
2017

Scalable Algorithms for Missing Value Imputation

Research Abstract
Research Authors
M. H. Mohamed, A. Hashem, M. M. Abdelsamea
Research Journal
International Journal of computer Applications
Research Pages
Research Publisher
Research Rank
1
Research Vol
Research Website
http://www.ijcaonline.org/archives/volume87/number11/15255-4019
Research Year
2014

A Comparison study on text detection in scene images based on connected component analysis

Research Abstract
Text detection from scene images is a challenging topics because of low resolution, complex background and font/font size variations. In this paper, we design a method to detect text based on Naïve Bayes classifier and connected component analysis. We used Naïve Bayes classifier to convert original gray level image into binary image, then connected component analysis is used to identify candidate text regions. In the last step we use empirical rules to determine threshold which used to discard non-text regions and keep the text regions. The proposed method compares between three classifiers outcome; the first is based on Otsu method, the second classifier outcome is derived using Naïve Bayes classifier based on mean feature and standard deviation feature, we named this method Bayes_Two_Features or shortly Bayes2. The last classifier outcome is derived using Naïve Bayes classifier based on just the mean feature, we named this method Bayes_Single_Feature or shortly Bayes1. Otsu’s method is used to convert grayscale image to binary image by assuming that image contains two classes; foreground and background. Experimental results show that Bayes2 classifier outperforms the other two methods, in the case of big letters especially when these letters are in non-horizontal and skewed form.
Research Authors
Abdel-Rahiem A. Hashem, Mohd. Yamani Idna Idris, Ahmed Gawish, Moumen T. El-Melegy
Research Journal
International Journal of Computer Science and Information Security (IJCSIS)
Research Pages
NULL
Research Publisher
NULL
Research Rank
1
Research Vol
Vol. 15, No. 2
Research Website
https://sites.google.com/site/ijcsis/vol-15-no-2-feb-2017
Research Year
2017

A Comparison study on text detection in scene images based on connected component analysis

Research Abstract
Text detection from scene images is a challenging topics because of low resolution, complex background and font/font size variations. In this paper, we design a method to detect text based on Naïve Bayes classifier and connected component analysis. We used Naïve Bayes classifier to convert original gray level image into binary image, then connected component analysis is used to identify candidate text regions. In the last step we use empirical rules to determine threshold which used to discard non-text regions and keep the text regions. The proposed method compares between three classifiers outcome; the first is based on Otsu method, the second classifier outcome is derived using Naïve Bayes classifier based on mean feature and standard deviation feature, we named this method Bayes_Two_Features or shortly Bayes2. The last classifier outcome is derived using Naïve Bayes classifier based on just the mean feature, we named this method Bayes_Single_Feature or shortly Bayes1. Otsu’s method is used to convert grayscale image to binary image by assuming that image contains two classes; foreground and background. Experimental results show that Bayes2 classifier outperforms the other two methods, in the case of big letters especially when these letters are in non-horizontal and skewed form.
Research Authors
Abdel-Rahiem A. Hashem, Mohd. Yamani Idna Idris, Ahmed Gawish, Moumen T. El-Melegy
Research Journal
International Journal of Computer Science and Information Security (IJCSIS)
Research Pages
NULL
Research Publisher
NULL
Research Rank
1
Research Vol
Vol. 15, No. 2
Research Website
https://sites.google.com/site/ijcsis/vol-15-no-2-feb-2017
Research Year
2017

Extraction Characters from Scene Image Based On Shape Properties and Geometric Features

Research Abstract
Text extraction from scene images is a defy subject in light of low resolution, complex background and textual style/text size varieties. In this paper, we design a scheme to detect text based on shape features like Euler Number, a number of pixels for each region which candidate to be a character and vertical distances as a geometric feature between these regions. We divide these features into base features to collect the text regions, and the other features as a filter to discard the non-text regions. We use some threshold with the features either those to extract text regions or to discard non-text regions. The proposed method outperforms some existed method through the basis metric.
Research Authors
Abdel-Rahiem A. Hashem, Mohd. Yamani Idna Idris, Moumen T. El-Melegy
Research Journal
International Journal of Computer Applications
Research Pages
0975 – 8887
Research Publisher
NULL
Research Rank
1
Research Vol
Vol. 169, No. 3
Research Website
https://www.ijcaonline.org/archives/volume169/number3/27967-2017914631
Research Year
2017

Considerable radioactivity levels in the granitic rocks of the central areas of the Eastern Desert, Egypt

Research Abstract
The distribution of the natural radioisotopes 238U, 226Ra, 232Th, and 40K in addition to their radiological parameters in granitic rock samples from five different localities (Gebel El-Missikat, Gebel El-Gidamy, Gebel Ria El-Garra, Gebel El-Aradiya, and Gebel Kab Amira) in the central area of the Eastern Desert, Egypt, was measured using high purity germanium (HPGe) detector-based γ-spectrometry. The average activity concentrations of 238U, 226Ra, 232Th, and 40K in all five studied areas are higher than the corresponding global average values. The highest average activity concentrations of 238U and 226Ra were observed in Gebel El-Missikat, whereas the highest average value of 232Th activity concentration was found at Gebel El-Gidamy, and the highest concentration of 40K was obtained at Gebel El-Aradiya. The radiological hazard parameters radium equivalent (Raeq), external hazard index (Hex), internal hazard index (Hin), absorbed dose rate (ADR), annual effective dose rate (AEDR) outdoors, annual gonadal dose equivalent (AGDE), and excess lifetime cancer risks (ELCR) were calculated to assess the radiation hazards associated with the rock samples. The average values of these parameters are higher than the recommended reference levels. The obtained data provide a valuable future database for estimating the impact of radioactive contamination in the studied area and in the places where the rocks are used.
Research Authors
Hany El-Gamal , Essam Sidique , Mohamed El-Azab Farid
Research Journal
Environmental Science and Pollution Research
Research Pages
PP.1–15
Research Publisher
Springer Berlin Heidelberg
Research Rank
1
Research Vol
https://link.springer.com/article/10.1007/s11356-018-2998-7
Research Website
NULL
Research Year
2018

Kinetics and mechanism of oxidation of pyruvate by permanganate
ion in aqueous perchlorate solution

Research Abstract
The kinetics and mechanism of permanganate oxidation of pyruvic acid in aqueous perchlorate at a constant ionic strength of 2.0 mol dm−3 have been investigated spectrophotometrically. The pseudo-first-order plots showed two distinct phases for the reaction, characterized as induction and auto-acceleration periods. The induction phase is relatively slow at the early stages of reaction and is followed by a faster process. The rate law for the oxidation was described by the sum of two exponential terms. The oxidation showed overall second-order kinetics with respect to the reactants in the initial slow phase. However, second-order kinetics was not maintained throughout the faster second stage. The effects of added salts lead to the conclusion that Mn(III) and/or Mn(IV) play the main role in the reaction kinetics of the second stage. A reaction mechanism consistent with the kinetic results is suggested and discussed.
Research Authors
Refat M. Hassan1 · Samia M. Ibrahim2 · Khalid S. Khairou3
Research Journal
Transition Metal Chemistry
Research Pages
NULL
Research Publisher
NULL
Research Rank
1
Research Vol
NULL
Research Website
NULL
Research Year
2018

Kinetics and mechanism of oxidation of chondroitin-4-sulfate
polysaccharide as a sulfated polysaccharide by hexacyanoferrate(III) in
alkaline solutions with synthesis of novel coordination biopolymer
chelating agent

Research Abstract
The kinetics and mechanism of reduction of hexacyanoferrate (III) by biodegradable chondroitin-4-sulfate (CS) in alkaline solutions at a constant ionic strength of 1.0 mol dm−3 have been investigated spectrophotometrically. The kinetic results indicated that the reaction was first-order dependence in the oxidant and fractional-order kinetics with respect to the [CS]. The influence of the base on the oxidation rates indicates that the reaction was base-catalyzed. A kinetic evidence for formation of 1:1 intermediate complexeswas revealed. The kinetic parameters have been evaluated and a tentative reaction mechanismconsistentwith the kinetic results obtained is suggested and discussed.
Research Authors
Samia M. Ibrahim a, Ismail Althagafi b, Hideo D. Takagi c, Refat M. Hassan d,⁎
Research Journal
Journal of Molecular Liquids
Research Pages
pp. 353–359
Research Publisher
NULL
Research Rank
1
Research Vol
Vol. 244
Research Website
NULL
Research Year
2017

Kinetics of corrosion inhibition of aluminum in acidic media by watersoluble
natural polymeric chondroitin-4-sulfate as anionic polyelectrolyte
inhibitor

Research Abstract
Corrosion inhibition of aluminum (Al) in hydrochloric acid by anionic polyelectrolyte chondroitin-4-sulfate (CS) polysaccharide has been studied using both gasometrical and weight-loss techniques. The results drawn from these two techniques are comparable and exhibit negligible differences. The inhibition efficiency was found to increase with increasing the inhibitor concentration and decreased with increasing temperature. The inhibition action of CS on Al metal surface was found to obey both of Langmuir and Freundlich isotherms. The factors affecting the corrosion rates such as the concentration and geometrical structure of the inhibitor, concentration of the corrosive medium, and the temperature were examined. The kinetic parameters were evaluated and a suitable corrosion mechanism consistent with the results obtained is discussed.
Research Authors
Refat M. Hassana,⁎, Samia M. Ibrahimb, Hideo D. Takagic, Suzan A. Sayeda
Research Journal
Carbohydrate Polymers
Research Pages
pp. 356–363
Research Publisher
NULL
Research Rank
1
Research Vol
Vol. 192
Research Website
NULL
Research Year
2018
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