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Kurls E. Anwer,Ahmed A. Farag,Eslam A. Mohamed,Eman M. Azmy,Galal H. Sayed 한국공업화학회 2021 Journal of Industrial and Engineering Chemistry Vol.97 No.-
The present investigation aims to synthesize and explore the influence of pyridine and pyran derivativeson the API X-65 steel corrosion in a 6 M H2SO4 solution. The compound was examined at differentconcentrations to optimized the best concentration for the corrosion inhibition effect, weight lossmeasurements, potentiodynamic polarization measurement (PDP), electrochemical impedance spectroscopy(EIS), scanning electron microscopy (SEM) and theoretical methods were used to evaluating theinhibition efficiency. The obtained adsorption data achieved the model of Langmuir isotherm. Thepyridine derivatives showed higher inhibition than pyran derivatives. The PDP tests proposed thatpyridine and pyran derivatives are mixed-type inhibitors. The EIS parameters demonstrate that thedouble-layer capacitance (Cdl) decreases with the increase of inhibitor concentration, which implies areduces dielectric constant. It was observed from experimental data that the inhibition efficiency reached92.7%, 89.1, 94.7, and 85.2% for concentration 2.66 10 3M of I, II, III and IV, respectively indicating theinhibition order is III > I > II > IV. The parameters derived from the theoretical quantum chemicalcalculations were found adequately correlated with the obtained experimental results.
M.S. Ahmed,T.M. Zewail,E-S.Z. El-Ashtoukhy,H.A. Farag,I.H. El Azab,F.A. Albatati,A.F. Al-Hossainy,M.Sh. Zoromba,M.H. Abdel-Aziz 한국공업화학회 2021 Journal of Industrial and Engineering Chemistry Vol.97 No.-
The goal of the present research is to study the impact of a stationary wiper almost touching a revolvingzinc solid cylinder on the rate of Cu+2 cementation. Initial Cu+2 ions concentration, speed of rotation, andthe effect of the presence and absence of a wiper were investigated. The degree of Cu+2 cementation wasstated in relation to the mass transfer coefficient which was valued under diverse circumstances. Thepresent study showed that the mass transfer coefficient accelerates as rotation speed and quantity of Cu+2increase. The presence of a wiper enhances the degree of Cu+2 cementation by an extent that varies from1.59 to 64% subject to the operational circumstances. The present mass transfer data have beeninterrelated by dimensionless equations. The importance of such relationships in the sizing and runningof rotating cylinders used for performing diffusion- restricted reactions is underlined.
Synthesis and Antiviral Activity of 3-Aminoindole Nucleosides of 2-Acetamido-2-deoxy-D-glucose
Abdel-Rahman, Adel A.H.,El-Latif, Mona M. Abd,El-Essawy, Farag A.,Barakat, Yousif A. Korean Chemical Society 2012 Bulletin of the Korean Chemical Society Vol.33 No.10
A new method for the construction of 3-aminoindole nucleosides of 2-acetamido-2-deoxy-D-glucose based is presented. Nitration and acetylation of the indole nucleosides by acetic anhydride-nitric acid mixture followed by reduction using silver catalyst (SNSM) impregnated on silica gel, afforded the corresponding amino indole nucleosides. The nucleosides were tested for antiviral activity against hepatitis B virus (HBV) to show different degrees of antiviral activities or inhibitory actions.
AlSabban, Wesam H.,Alotaibi, Saud S.,Farag, Abdullah Tarek,Rakha, Omar Essam,Al Sallab, Ahmad A.,Alotaibi, Majid International Journal of Computer ScienceNetwork S 2021 International journal of computer science and netw Vol.21 No.9
The Islamic jurisprudential legal system represents an essential component of the Islamic religion, that governs many aspects of Muslims' daily lives. This creates many questions that require interpretations by qualified specialists, or Muftis according to the main sources of legislation in Islam. The Islamic jurisprudence is usually classified into branches, according to which the questions can be categorized and classified. Such categorization has many applications in automated question-answering systems, and in manual systems in routing the questions to a specialized Mufti to answer specific topics. In this work we tackle the problem of automatic categorisation of Islamic jurisprudential legal questions using deep learning techniques. In this paper, we build a hierarchical deep learning model that first extracts the question text features at two levels: word and sentence representation, followed by a text classifier that acts upon the question representation. To evaluate our model, we build and release the largest publicly available dataset of Islamic questions and answers, along with their topics, for 52 topic categories. We evaluate different state-of-the art deep learning models, both for word and sentence embeddings, comparing recurrent and transformer-based techniques, and performing extensive ablation studies to show the effect of each model choice. Our hierarchical model is based on pre-trained models, taking advantage of the recent advancement of transfer learning techniques, focused on Arabic language.