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Thermal lens study of the Tris(2,2’-bipyridyl)iron(Ⅱ) tetrafluoroborate

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Optoelectronics Letters 2021年第3期17卷 183-186页

作者： m.d.Zidan m.m.Al-Ktaifani m.S.el-daher A.Allahham A.Ghanem department of Physics Atomic Energy CommissionDamascus P.O.Box 6091Syria department of Radioisotopes Atomic Energy CommissionDamascus P.O.Box 6091Syria Higher Institute for Laser Research and Applications Damascus UniversitySyria

Experimental results of thermal lens measurements for Tris(2,2’-bipyridyl)iron(II) tetrafluoroborate solution are reported using the dual beam technique. The temporal evaluation of thermal lens was observed at input pump power of I=47 mW. The thermal lens effect was observed with increasing the pump power intensity as well. The evolution time of thermal lens and the fitting of the experimental transient curve were useful to evaluate the parameters of the Tris(2,2’-bipyridyl)iron(Ⅱ) tetrafluoroborate solution.

关键词： technique. solution. (Ⅱ)

Enhancing optical absorption in visible light of ZnO co-doped with europium and promethium by first-principles study through modified Becke and Johnson potential scheme

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Journal of Rare Earths 2019年第4期37卷 416-421页

作者： A.G.el Hachimi m.L.Ould NE A.el Yousfi A.Benyoussef A.el Kenz Laboratory of Condensed matter and Interdisciplinary Sciences (LamCScI) Associé Au CNRST (URAC 12) Département de Physique B.P.1014 Faculté des SciencesUniversité Mohammed V Hassan Ⅱ Academy of Science and Technology

By using first-principles calculations we studied the electronic, optical and magnetic properties of ZnO co-doped with Eu and Pm. In this calculation, we used Wien2 k code based on full potential linearized augmented plane waves(FP-LAPW) method with the modified Becke-Johnson(mBJ) approximation. This correction gives good band gap compared to experimental band gap. The introduction of Eu and Pm codoping leads to an increase in the band gap. electrons can transit easily from the valence band to the conduction band, which results in an enhancement of visible light absorption in a wider absorption range. Absorption spectra reach a high value in visible and infrared light regions. With the significance of the obtained results, the studied compounds may potentially find spintronic and optoelectronic applications.

关键词： Zinc oxide Rare earth density functional theory modified Becke-Johnson magnetic properties Spintronics

On Thermodynamics of AdS Black Holes in Arbitrary dimensions

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Chinese Physics Letters 2012年第10期29卷 9-11页

作者： A.Belhaj m.Chabab el moumni m.B.Sedra Centre of Physics and mathematics CPM-CNESTENRabatMorocco High Energy Physics and Astrophysics Laboratory FSSMCadi Ayyad UniversityMarrakeshMorocco UniversitéIbn Tofail Facultédes SciencesDépartement de PhysiqueLHESIRKénitraMorocco

Considering the cosmological constantΛas a thermodynamic pressure and its conjugate quantity as a thermodynamic volume as proposed by Kubiznak and mann[*** Energy Phys.1207(2012)033],we discuss the critical behavior of charged AdS black hole in arbitrary dimensions *** particular,we present a comparative study in terms of the spacetime dimension d and the displacement of critical points controlling the transition between the small and the large black *** behaviors vary nicely in terms of *** result shows that the equation of state for a charged Reissner–Nordstrom AdS black hole predicts an universal number given by(2d-5)/(4d-8).The three-dimensional solution is also discussed.

关键词： thermodynamic critical dimensions

direct Reduction and Exact Solutions for Generalized Variable Coefficients 2d KdV Equation under Some Integrability Conditions

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Communications in Theoretical Physics 2011年第4期55卷 551-554页

作者： m.H.m.moussa Rehabm.el-Shiekh department of mathematics Faculty of EducationAin Shams University

Based on the closed connections among the homogeneous balance （HB） method and Clarkson-KruSkal （CK） method, we study the similarity reductions of the generalized variable coefficients 2d KdV equation. In the meantime it is shown that this leads to a direct reduction in the form of ordinary differential equation under some integrability conditions between the variable coefficients. Two different cases have been discussed, the search for solutions of those ordinary differential equations yielded many exact travelling and solitonic wave solutions in the form of hyperbolic and trigonometric functions under some constraints between the variable coefficients.

关键词： direct reduction method the generalized variable coefficients 2d KdV equation exact solutions

Effect of probiotics on pro-inflammatory cytokines and NF-κB activation in ulcerative colitis

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World Journal of Gastroenterology 2010年第33期16卷 4145-4151页

作者： Sahar K Hegazy m.ham.d m el-Bedewy department of Clinical Pharmacy Faculty of PharmacyTanta University Internal medicine Faculty of MedicineTanta University

AIm:To demonstrate the therapeutic effect of probiotics in patients with ulcerative colitis(UC),and their effect on inflammatory mediators and nuclear factor(NF)κB activation in these ***:Thirty patients with mild to moderate UC were randomly classified into two groups:sulfasalazine group,who received sulfasalazine 2400 mg/d;and probiotic group,who received sulfasalazine 2400 mg/d with *** patients were investigated before and after 8 wk of treatment with probiotic(Lactobacillus delbruekii and Lactobacillus fermentum).Colonic activity of myeloperoxidase(mPO)was assayed with UV spectrophotometry,the colonic content of interleukin(IL)-6 was determined by enzyme-linked immunosorbent assay(elISA),fecal calprotectin was determined by elISA,and expression of NF-κB p65 and tumor necrosis factor (TNF)-αproteins in colonic tissue was identified by immunohistochemistry and reverse transcription polymerase chain reaction,***:At the start of the study,colonic mucosal injury and inflammation were demonstrated in UC patients by hematoxylin and eosin staining,and an increase in colonic mPO activity,fecal calprotectin,and expression of colonic TNF-αand NF-κB p65 *** use of probiotic for 8 wk significantly ameliorated the inflammation by decreasing the colonic concentration of IL-6,expression of TNF-αand NF-κB p65,leukocyte recruitment,as demonstrated by a decrease in colonic mPO activity,and the level of fecal calprotectin compared to sulfasalazine group and the control group(Pmentation with probiotics could be helpful in maintaining remission and preventing relapse of UC.

关键词： Ulcerative colitis Probiotics Interleukin-6 Nuclear factor-κB

An Improved Convolutional Neural Network model for dNA Classification

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Computers, materials & Continua 2022年第3期70卷 5907-5927页

作者： Naglaa.F.Soliman Samia m.Abd-Alhalem Walid el-Shafai Salah eldin S.E.Abdulrahman N.Ismaiel el-Sayed m.el-Rabaie Abeer d.Algarni Fathi E.Abd el-Samie department of Information Technology College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadhSaudi Arabia department of electronics and electrical Communications Engineering Faculty of Electronic EngineeringMenoufia UniversityMenoufia32952Egypt department of Computer Science and Engineering Faculty of Electronic EngineeringMenoufia UniversityMenoufia32952Egypt

Recently,deep learning(dL)became one of the essential tools in bioinformatics.A modified convolutional neural network(CNN)is employed in this paper for building an integratedmodel for deoxyribonucleic acid(dNA)*** any CNN model,convolutional layers are used to extract features followed by max-pooling layers to reduce the dimensionality of features.A novel method based on downsampling and CNNs is introduced for feature *** downsampling is an improved form of the existing pooling layer to obtain better classification *** two-dimensional discrete transform(2d dT)and two-dimensional random projection(2d RP)methods are applied for *** convert the high-dimensional data to low-dimensional data and transform the data to the most significant feature ***,there are parameters which directly affect how a CNN model is *** this paper,some issues concerned with the training of CNNs have been *** CNNs are examined by changing some hyperparameters such as the learning rate,size of minibatch,and the number of *** and assessment of the performance of CNNs are carried out on 16S rRNA bacterial *** results indicate that the utilization of a CNN based on wavelet subsampling yields the best trade-off between processing time and accuracy with a learning rate equal to 0.0001,a size of minibatch equal to 64,and a number of epochs equal to 20.

关键词： dNA classification CNN downsampling hyperparameters dL 2d dT 2d RP

metaheuristic Optimization of Time Series models for Predicting Networks Traffic

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Computers, materials & Continua 2023年第4期75卷 427-442页

作者： Reem Alkanhel el-Sayed m.el-kenawy d.L.elsheweikh Abdelaziz A.Abdelhamid Abdelhameed Ibrahim doaa Sami Khafaga department of Information Technology College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia department of Communications and electronics Delta Higher Institute of Engineering and TechnologyMansoura35111Egypt Faculty of Artificial Intelligence Delta University for Science and TechnologyMansoura35712Egypt department of Computer Science Faculty of Specific EducationMansoura UniversityEgypt department of Computer Science Faculty of Computer and Information SciencesAin Shams UniversityCairo11566Egypt department of Computer Science College of Computing and Information TechnologyShaqra University11961Saudi Arabia Computer Engineering and Control Systems department Faculty of EngineeringMansoura UniversityMansoura35516Egypt department of Computer Sciences College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh 11671Saudi Arabia

Traffic prediction of wireless networks attracted many researchersand practitioners during the past decades. However, wireless traffic frequentlyexhibits strong nonlinearities and complicated patterns, which makes it challengingto be predicted accurately. many of the existing approaches forpredicting wireless network traffic are unable to produce accurate predictionsbecause they lack the ability to describe the dynamic spatial-temporalcorrelations of wireless network traffic data. In this paper, we proposed anovel meta-heuristic optimization approach based on fitness grey wolf anddipper throated optimization algorithms for boosting the prediction accuracyof traffic volume. The proposed algorithm is employed to optimize the hyperparametersof long short-term memory (LSTm) network as an efficient timeseries modeling approach which is widely used in sequence prediction *** prove the superiority of the proposed algorithm, four other optimizationalgorithms were employed to optimize LSTm, and the results were *** evaluation results confirmed the effectiveness of the proposed approachin predicting the traffic of wireless networks accurately. On the other hand,a statistical analysis is performed to emphasize the stability of the proposedapproach.

关键词： Network traffic soft computing LSTm metaheuristic optimization

Efficient deep-Learning-Based Autoencoder denoising Approach for medical Image diagnosis

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Computers, materials & Continua 2022年第3期70卷 6107-6125页

作者： Walid el-Shafai Samy Abd el-Nabi el-Sayed mel-Rabaie Anas m.Ali Naglaa F.Soliman Abeer d.Algarni Fathi E.Abd el-Samie department of electronics and electrical Communications Faculty of Electronic EngineeringMenoufia UniversityMenouf32952Egypt Alexandria Higher Institute of Engineering&Technology(AIET) AlexandriaEgypt department of Information Technology College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadh84428Saudi Arabia

Effective medical diagnosis is dramatically expensive,especially in third-world *** of the common diseases is pneumonia,and because of the remarkable similarity between its types and the limited number of medical images for recent diseases related to pneumonia,themedical diagnosis of these diseases is a significant ***,transfer learning represents a promising solution in transferring knowledge from generic tasks to specific ***,experimentation and utilization of different models of transfer learning do not achieve satisfactory *** this study,we suggest the implementation of an automatic detectionmodel,namelyCAdTra,to efficiently diagnose pneumonia-related *** model is based on classification,denoising autoencoder,and transfer ***,pre-processing is employed to prepare the medical *** depends on an autoencoder denoising(Ad)algorithm with a modified loss function depending on a Gaussian distribution for decoder output to maximize the chances for recovering inputs and clearly demonstrate their features,in order to improve the diagnosis ***,classification is performed using a transfer learning model and a four-layer convolution neural network(FCNN)to detect *** proposed model supports binary classification of chest computed tomography(CT)images and multi-class classification of chest X-ray ***,a comparative study is introduced for the classification performance with and without the denoising *** proposed model achieves precisions of 98%and 99%for binary classification and multi-class classification,respectively,with the different ratios for training and *** demonstrate the efficiency and superiority of the proposed CAdTra model,it is compared with some recent state-of-the-art CNN *** achieved outcomes prove that the suggested model can help radiologists to detect pneumonia-related diseases and improve the diagnostic efficiency compared to the exis

关键词： medical images CAdTra Ad CT and X-ray images autoencoder

Preparation of solar-enhanced AlZnO@carbon nano-substrates for remediation of textile wastewaters

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Journal of Environmental Sciences 2020年第6期32卷 52-68页

作者： Esraa m.el-Fawal Sherif A.Younis Yasser m.moustafa Philippe Serp Central Laboratories Analysis and Evaluation DepartmentEgyptian Petroleum Research InstituteNasr CityCairo 11727Egypt Laboratoire de Chimie de Coordination(LCC) Unite Propre de Recherche(UPR)Du Centre National de La Recherche Scientifique(CNRS)8241Composante de L’Ecole Nationale D’Ingenieurs en Arts Chimiques et Technologiques(ENSIACET)Universite de ToulouseUniversite Paul Sabatier(UPS)Institut National Polytechnique(INP)-LCC4 Allee Emile Monso31030Toulouse Cedex 4France

Photoactive aluminum doped ZnO(AlZnO)was synthesized by sol-gel *** that,AlZnO photocatalyst was deposited on five carbon-based materials(CBms)using ultrasonic route followed by solid-state mixing using ball *** CBms used were poly aniline(PANI),carbon nitride(CN),carbon nanotubes(CNT),graphene(G),and carbon nanofibers(CNF).The crystal phases,elemental compositions,morphological,and optical properties of the AlZnO@CBms composites were *** results revealed that two of AlZnO@CBms composites exhibited superior bleaching efficiency(100%removal)and photocatalytic stability(three cycles)for 50μmol/L methylene Blue(mB)contaminated water after 60 min irradiation in visible light at pH 6.5,0.7%H2O2,and 5 g/L inorganic *** optimum conditions,AlZnO@CBms nanocomposites were employed for the treatment of mixed dyestuffs composed of mB,methyl Orange(mO),Astrazone Blue FRR(BB 69),and Rhodamine B(RhB)dyes under dark,ultraviolet,visible,and direct *** mixed dyestuffs,the AlZnO@G achieved the highest dye sorption capacity(60.91μmol dye stuffs/g)with kinetic rate 8.22×10^-3 min^-1 in 90 min via multi-layer physisorption(Freundlich isotherm)on graphene *** additions,AlZnO@CN offered the highest photo-kinetic rate(Kphoto)of^54.1×10^-3 min^-1(93.8%after 60 min)under direct ***,the selective radical trapping experiment confirmed that the holes and oxidative superoxide radicals are crucial on dyes photodegradation *** to their superior performance,AlZnO@G and AlZnO@CN nanocomposites can offer an effective in-situ solar-assisted adsorption/photocatalytic remediation of textile wastewater effluents.

关键词： Carbon nanomaterials AlZnO photocatalyst Hybrid adsorption/photo-catalysis Kinetic and isotherm modeling Textile wastewater remediation