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Journal of Modern Power Systems and Clean Energy 2022年第2期10卷 450-458页

作者： Ahmed S.A.Awad Dave Turcotte tarek H.M.el-Fouly Natural Resources Canada Can-metENERGYVarennesCanadaon leave from the Electrical Power and Machines DepartmentFaculty of EngineeringAin Shams UniversityCairo 11566Egyp Natural Resources Canada CanmetENERGYVarennesCanada Advanced Power and Energy Center Khalifa UniversityAbu DhabiUnited Arab Emirates

The integration of renewable distributed generation(RDG)into distribution networks is promising and increasing ***,high penetration levels of distributed generation(DG)are often limited as they may have an adverse effect on the operation of distribution *** of the operation challenges is the interaction between DG and voltage-control equipment,e.g.,an under-load tap changer(ULTC),which is basically designed to compensate for voltage changes caused by slow load *** integration of variable DGs leads to rapid voltage fluctuations,which can negatively affect the tap operation of *** paper investigates the impact of high penetration levels of RDG on the tap operation of ULTC in distribution networks through *** mitigation techniques that can alleviate this impact are also *** these techniques,constant power-factor mode is regarded as the best trade-off between the simplicity and effectiveness of minimizing the number of tap *** are performed on a Canadian benchmark rural distribution feeder using OpenDSS software.

关键词： Renewable energy distributed generation(DG) voltage regulator load tap changer distribution network.

Unlocking the power of blockchain in education:An overview of innovations and outcomes

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Blockchain(Research and Applications) 2023年第4期4卷 99-117页

作者： Amr el Koshiry Entesar eliwa tarek Abd el-Hafeez Mahmoud Y.Shams Department of Curricula and Teaching Methods College of EducationKing Faisal UniversityAl-Ahsa31982Saudi Arabia Faculty of Specific Education Minia UniversityMinia61519Egypt Department of Mathematics and Statistics College of ScienceKing Faisal UniversityAl-Ahsa31982Saudi Arabia Department of Computer Science Faculty of ScienceMinia UniversityMinia61519Egypt Computer Science Unit Deraya UniversityMinia UniversityMinia61519Egypt Faculty of Artificial Intelligence Kafrelsheikh UniversityKafrelsheikh33516Egypt

Blockchain is a revolutionary technology that has the potential to revolutionize various industries,including finance,supply chain management,healthcare,and *** decentralized,secure,and transparent nature makes it ideal for use in industries where trust,security,and efficiency are of paramount *** integration of blockchain technology into the education system has the potential to greatly improve the efficiency,security,and credibility of the educational *** creating secure and transparent platforms for tracking and verifying students’academic achievements,blockchain technology can help to create a more accessible and trustworthy education system,making it easier for students to showcase their skills and knowledge to potential *** the potential benefits of blockchain in education are significant,there are also several challenges that must be addressed in order to fully realize the potential of this technology in the educational *** of the major challenges include adoption,technical knowledge,interoperability,regulation,cost,data privacy and security,scalability,and *** necessary equipment for the implementation of blockchain technology in education is diverse and critical to the success of this innovative *** should carefully consider this equipment when planning their implementation of blockchain technology in education to ensure the efficient and secure transfer of educational data and transactions within the blockchain *** technology has the potential to play a significant role in promoting sustainability education and advancing the sustainability goals of both individuals and *** should consider incorporating blockchain technology into their sustainability education programs,in order to enhance the transparency,verifiability,and efficiency of their sustainability-related *** the use of blockchain technology in education is still i

关键词： Blockchain Education Sustainability Internet of things Machine learning Credential verification

An Enhanced Deep Learning Method for Skin Cancer Detection and Classification

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Computers, Materials & Continua 2022年第10期73卷 1109-1123页

作者： Mohamed W.Abo el-Soud tarek Gaber Mohamed Tahoun Abdullah Alourani Department of Computer Science and Information College of Science in ZulfiMajmaah UniversityAl-Majmaah11952Saudi Arabia Faculty of Computers and Informatics Suez Canal UniversityIsmailia41522Egypt School of Science Engineeringand EnvironmentUniversity of SalfordUK

The prevalence of melanoma skin cancer has increased in recent *** greatest risk from melanoma is its ability to broadly spread throughout the body by means of lymphatic vessels and ***,the early diagnosis of melanoma is a key factor in improving the prognosis of the *** learning makes it possible to design and develop intelligent systems that can be used in detecting and classifying skin lesions from visible-light *** systems can provide early and accurate diagnoses of melanoma and other types of skin *** paper proposes a new method which can be used for both skin lesion segmentation and classification *** solution makes use of Convolutional neural networks(CNN)with the architecture two-dimensional(Conv2D)using three phases:feature extraction,classification and *** proposed method is mainly designed for skin cancer detection and *** the public dataset International Skin Imaging Collaboration(ISIC),the impact of the proposed segmentation method on the performance of the classification accuracy was *** obtained results showed that the proposed skin cancer detection and classification method had a good performance with an accuracy of 94%,sensitivity of 92%and specificity of 96%.Also comparing with the related work using the same dataset,i.e.,ISIC,showed a better performance of the proposed method.

关键词： Convolution neural networks activation function separable convolution 2D batch normalization max pooling classification

Human recombinant soluble ACE2(hrsACE2)shows promise for treating severe COVID19

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Signal Transduction and Targeted Therapy 2020年第1期5卷 303-304页

作者： tarek Mohamed Abd el-Aziz Ahmed Al-Sabi James D.Stockand Department of Cellular and Integrative Physiology University of Texas Health Science Center at San AntonioSan AntonioTX 78229-3900USA Zoology Department Faculty of ScienceMinia UniversityEl-Minia 61519Egypt College of Engineering and Technology American University of the Middle EastKuwaitKuwait

A recent study by Zoufaly et *** in The Lancet Respiratory Medicine describes encouraging data from the first severe COVID-19 patient successfully treated with human recombinant soluble angiotensin-converting enzyme-2(hrsACE2).1 The published data document upon treatment of an adaptive immune response,the disappearance of the virus swiftly from the serum,the nasal cavity and lungs,and a reduction of inflammatory cytokine levels that are critical for COVID-19 ***,the use of hrsACE2 did not impede the generation of neutralizing antibodies,leading to a significant clinical improvement of the treated patient.

关键词： ACE2 al cavity

Assessing effects of deficit irrigation techniques on water productivity of tomato for subsurface drip irrigation system

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International Journal of Agricultural and Biological Engineering 2018年第4期11卷 156-167页

作者： Mahmoud S Hashem tarek Zin el-Abedin Hussein M Al-Ghobari Agricultural Engineering Department College of Food and Agriculture SciencesKing Saud UniversityRiyadh 11451Saudi Arabia Agricultural Engineering Research Institute(AEnRI) Agricultural Research CenterGizaEgypt Agricultural Engineering Department College of AgricultureAlexandria UniversityAlexandriaEgypt

Water resources are subjected to ever-increasing supply constraints due to extensive agricultural water demand for irrigated ***,water-saving irrigation strategies need to be *** present study was conducted to explore the possibilities of using regulated deficit irrigation(RDI)and partial root zone drying irrigation(PRD)methods as water-saving irrigation techniques for subsurface *** objective of this study are to assess the effects of RDI and PRD irrigation on the water productivity of vegetable crops(tomato)under SSD systems in arid climatic conditions,and to compare the responses of tomato crops to PRD,RDI,and FI under an SSD system in terms of productivity,crop quality,and the amount of water *** field experiment was conducted during the fall 2014-2015 and 2015-2016 seasons in an experimental field located on an educational farm owned by the Faculty of Food and Agriculture Sciences Department,King Saud University,Riyadh,Kingdom of Saudi *** area of 102.7 m^(2)(13 m×7.9 m)was allocated for the experiment to manage three treatments:RDI,PRD,and full irrigation(FI).The RDI and PRD treatments received 70%of the irrigation water volume of *** was replicated three *** most important results indicated that the soil water content(SWC)for the RDI and PRD treatments was lower than that of the FI *** had the highest stomatal conductance values(gs),while PRD had the lowest stomatal conductance *** photosynthetic rate(A_(n))was lower under RDI and PRD compared to ***,there was no significant change in A_(n) between treatments for most readings taken during both time periods,which means that the water saving treatments(PRD and RDI)did not affect the net photosynthesis rate,thereby enhancing irrigation water use efficiency(IWUE)under DI *** water-saving irrigation techniques decreased transpiration rate(T)compared to the FI *** values of the abscisic acid(ABA)contents were higher

关键词： full irrigation(FI) regulated deficit irrigation(RDI) partial root zone drying(PRD) irrigation water use efficiency(IWUE)

Effect of single subconjunctival injection of bevacizumab on primary pterygium:clinical,histopathological and immunohistochemical study

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International Journal of Ophthalmology(English edition) 2018年第5期11卷 797-801页

作者： tarek A Mohamed Wael Soliman Ahmed M.Fathalla Abeer el Refaie Department of Ophthalmology Assiut University Hospital Department of Pathology Faculty of MedicineAssiut University

AIM：To evaluate the effect（clinically,histopathologically and immunohistochemically） and safety of a single intrapterygium injection of ***：Prospective interventional study comprised 40 eyes of 40 patients with primary fleshy pterygia who attended the Outpatient Clinic of Department of Ophthalmology,Assiut University Hospitals,Egypt from May 2015 to May *** were randomly classified into 2 groups：the first group received a single intralesional injection of bevacizumab（Avastin;Genentech,San Francisco,CA,USA）;the second group comprised patients who did not receive subconjunctival *** of pterygium and conjunctival auto graft was done in both *** excised pterygium tissues were subjected to histopathological and immunohistochemical ***：The study comprised 40 eyes of 40 patients（33 men,7 women） of age range from 31-58 *** study group included 22 *** control group included 18 eyes.A decrease in the vascularity of the pterygium was noted in all injected *** mean vessel count was higher in non-injected pterygia than that in injected pterygia and the difference was statistically significant（P=0.001）.Also,the mean vessel count in both groups was significantly higher than normal conjunctive（P=0.005 and 0.001）.A statistically significant difference in vascular endothelial growth factor（VEGF） expression between injected and non-injected cases was detected in the epithelial,stromal and endothelial cells（P=0.0001,0.016,0.014）.No serious intraoperative complications occurred in both ***：The use of single intra lesional injection of Avastin in pterygium decreased vascularity and decreased VEGF expression in injected pterygium after one *** study proved the effect of single intra lesional injection of Avastin on *** studies may enable limiting the need for surgery and improve quality of life for patients with pterygia.

关键词： pterygiurn vascularity bevacizumab vessel count

Prediction of fold-of-increase in productivity index post limited entry fracturing using artificial neural network

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Petroleum Research 2022年第2期7卷 236-245页

作者： Shady Galal Ramah Mohamed Abdalla Othman Ahmed Z.Nouh tarek el-Kwidy Faculty of Petroleum Engineering Suez UniversityEgypt Qarun Petroleum Company Egypt Egyptian Petroleum Research Institute Egypt American University in Cairo Egypt

Unified Fracture Design(UFD)bridges the gap between practices and theory in the hydraulic fracturing *** represents a technique to design hydraulic fracturing treatment with a particular amount of *** design could provide the maximum fold-of-increase(FOI)in productivity-index(PI)after hydraulic fracturing *** UFD optimization tool is very effective,but it has assumptions like any other *** assumption of UFD optimization technique;is a single-layer *** assumption does not align with the limited entry fracturing design *** limited entry fracturing,the frictional pressure is employed to offset the stress differences between multi-layers reservoirs to attain fluid injection through these layers,intended to deliver an optimal fracture conductivity in all *** drawback of this assumption is the underestimation of the actual value of FOI in *** paper aims to recast the original unified fracture design approach to extend the optimal UFD to a multilayer reservoir to predict the FOI in PI after limited entry fracturing *** recasting tool for this problem to find the optimum solution is Artificial Neural Networks(ANN).The architected ANN model is based on actual historical data of limited entry fracturing treatments.A statistical comparison between the proposed ANN model and classical UFD technique demonstrates that ANN model solution has a more reliable estimation of FOI in PI with the actual historical data.

关键词： Unified fracture design Hydraulic fracturing Limited-entry Fold of increase Artificial neural networks

Histopathological changes in the oesophageal mucosa in Egyptian children with corrosive strictures: A single-centre vast experience

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World Journal of Gastroenterology 2019年第7期25卷 870-879页

作者： Ayman EskANDer Carolyne Ghobrial Nabil A Mohsen Bahaa Mounir Dalia Abd el-Kareem Sara tarek Mortada HF el-Shabrawi Department of Paediatrics Kasr Alainy School of Medicine Cairo University Department of Pathology Kasr Alainy School of Medicine Cairo University

BACKGROUND The caustic ingestion continues to be a major problem worldwide especially in developing countries. The long-term complications include stricture and increased life time risk of oesophageal carcinoma. Patients suffered from corrosive induced oesophageal strictures have more than a 1000-fold risk of developing carcinoma of the *** To determine the possibility of oesophageal mucosal dysplasia after prolonged dilatation in post corrosive *** This observational study was conducted at the Paediatric Endoscopy Unit in Cairo University Children's Hospital. It included children of both sexes older than 2 years of age who had an established diagnosis of post-corrosive oesophageal stricture and repeated endoscopic dilatation sessions for more than 6 mo. All patients were biopsied at the stricture site after 6 mo of endoscopic dilatation. A histopathological examination of an oesophageal mucosal biopsy was performed for the detection of chronic oesophagitis, inflammatory cellular infiltration and *** The mean age of the enrolled children was 5.9 ± 2.6 years; 90% of the patients had ingested an alkaline corrosive substance(potash). The total number of endoscopic dilatation sessions were ranging from 16 to 100 with mean number of sessionswas 37.2 ± 14.9. Histopathological examination of the specimens showed that 85%of patients had evidence of chronic oesophagitis(group A) in the form of basal cell hyperplasia, hyperkeratosis and subepithelial fibrosis. Thirteen percent of the patients had evidence of reactive atypia(group B) in the form of severe neutrophilic intraepithelial inflammatory cellular infiltration, and 2 patients(2%)had mild squamous dysplasia(group C); we rebiopsied these two patients 6 mo after the initial pathological assessment, guided by chromoendoscopy by Lugol's *** The histopathology of oesophageal mucosal biopsies in post-corrosive patients demonstrates evidence of chronic oesophagitis, intraepi

关键词： Children Endoscopic dilatation Dysplasia Oesophageal strictures Postcorrosive

Wind Power Prediction Based on Machine Learning and Deep Learning Models

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Computers, Materials & Continua 2023年第1期74卷 715-732页

作者： Zahraa tarek Mahmoud Y.Shams Ahmed M.elshewey el-Sayed M.el-kenawy Abdelhameed Ibrahim Abdelaziz A.Abdelhamid Mohamed A.el-dosuky Faculty of Computers and Information Computer Science DepartmentMansoura UniversityMansoura35561Egypt Faculty of Artificial Intelligence Kafrelsheikh UniversityKafrelsheikh33511Egypt Faculty of Computers and Information Computer Science DepartmentSuez UniversitySuezEgypt Department of Communications and electronics Delta Higher Institute of Engineering and TechnologyMansoura35111Egypt Faculty of Artificial Intelligence Delta University for Science and TechnologyMansoura35712Egypt Computer Engineering and Control Systems Department Faculty of EngineeringMansoura UniversityMansoura35516Egypt Department of Computer Science Faculty of Computer and Information SciencesAin Shams UniversityCairo11566Egypt Department of Computer Science College of Computing and Information TechnologyShaqra University11961Saudi Arabia Department of Computer Science Arab East CollegesRiyadh13544Saudi Arabia

Wind power is one of the sustainable ways to generate renewable *** recent years,some countries have set renewables to meet future energy needs,with the primary goal of reducing emissions and promoting sustainable growth,primarily the use of wind and solar *** achieve the prediction of wind power generation,several deep and machine learning models are constructed in this article as base *** regression models are Deep neural network(DNN),k-nearest neighbor(KNN)regressor,long short-term memory(LSTM),averaging model,random forest(RF)regressor,bagging regressor,and gradient boosting(GB)*** addition,data cleaning and data preprocessing were performed to the *** dataset used in this study includes 4 features and 50530 *** accurately predict the wind power values,we propose in this paper a new optimization technique based on stochastic fractal search and particle swarm optimization(SFSPSO)to optimize the parameters of LSTM *** evaluation criteria were utilized to estimate the efficiency of the regression models,namely,mean absolute error(MAE),Nash Sutcliffe Efficiency(NSE),mean square error(MSE),coefficient of determination(R2),root mean squared error(RMSE).The experimental results illustrated that the proposed optimization of LSTM using SFS-PSO model achieved the best results with R2 equals 99.99%in predicting the wind power values.

关键词： Prediction of wind power data preprocessing performance evaluation

MCNP Dose Calculations in a CT Phantom for Therapeutic External Photon Beam

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原子核物理评论 2011年第2期28卷 236-240页

作者： Lamyae el Gonnouni tarek el Bardouni Mariam Zoubair Mohamed Idaomar Abderrahmane Senhoo University Abdelmalek Essaadi Faculty of Sciences ERSN-LMR Department of Physics Tetuan Morocco University Abdelmalek Essaadi Faculty of Sciences BCM Department of Biology Tetuan Morocco National Institute of Oncology NIO Rabat Morocco

In this paper,we have addressed the problem of the radiation transport with the Monte Carlo N-particle(MCNP) *** is a general-purpose Monte Carlo tool designed to transport neutron,photon and electron in three dimensional *** examine the performance of MCNP5 code in the field of external radiotherapy,we performed the modeling of an electron Density phantom(EDP) irradiated by photons from 60Co *** model was used to calculate the Percent Depth Dose(PDD) at different depths in an *** field size for PDD has been examined.A 60Co photons source placed at 80 cm source to surface distance(SSD).The results of calculations were compared to TPS data obtained at National Institute of Oncology of Rabat.

关键词： Monte Carlo method Monte Carlo N-particle electron density phantom radiotherapy CT percent depth dose