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Partition of Unity Finite element Analysis of Nonlinear Transient Diffusion Problems Using p-Version Refinement

Computer Modeling in Engineering & Sciences 2020年第7期124卷 61-78页

作者： Abdelkarim el Kahoui Mustapha Malek Nouh Izem MShadi Mohamed mohammed Seaid Laboratory of Engineering Sciences Faculty of ScienceIbn Zohr UniversityAgadirMorocco School of Energy GeoscienceInfrastructure and SocietyHeriot-Watt UniversityEdinburghEH144ASUK Department of Engineering Durham UniversityDurhamDH13LEUK International Water Research Institute University Mohammed VI PolytechnicBenguerirMorocco

We propose a high-order enriched partition of unity finite element method for linear and nonlinear time-dependent diffusion *** solution of this class of problems often exhibits non-smooth features such as steep gradients and boundary layers which can be very challenging to recover using the conventional low-order finite element methods.A class of steady-state exponential functions has been widely used for enrichment and its performance to numerically solve these challenges has been ***,these enrichment functions have been used only in context of the standard h-version refinement or the so-called q-version *** this paper we demonstrate that the p-version refinement can also be a very attractive option in terms of the efficiency and the accuracy in the enriched partition of unity finite element ***,the transient diffusion problem is integrated in time using a semi-implicit scheme and the semi-discrete problem is then integrated in space using the p-version enriched finite *** results are presented for three test examples of timedependent diffusion problems in both homogeneous and heterogeneous *** computed results show the significant improvement when using the p-version refined enriched approximations in the finite element *** addition,these results support our expectations for a robust and high-order accurate enriched partition of unity finite element method.

关键词： Partition of unity finite element method p-version refinement

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Dipper Throated Optimization Algorithm for Unconstrained Function and Feature Selection

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Computers, Materials & Continua 2022年第7期72卷 1465-1481页

作者： Ali E.Takieldeen el-Sayed M.el-kenawy mohammed Hadwan Rokaia M.Zaki Faculty of Artificial Intelligence Delta University for Science and TechnologyMansoura35712Egypt Department of Communications and electronics Delta Higher Institute of Engineering and TechnologyMansoura35111Egypt Department of Information Technology College of ComputerQassim UniversityBuraydah51452Saudi Arabia Department of Computer Science College of Applied SciencesTaiz UniversityTaizYemen Intelligent Analytics Group(IAG) College of ComputerQassim UniversityBuraydahSaudi Arabia Higher Institute of Engineering and Technology KafrelsheikhEgypt Department of electrical Engineering Shoubra Faculty of EngineeringBenha UniversityEgypt

Dipper throated optimization(DTO)algorithm is a novel with a very efficient metaheuristic inspired by the dipper throated *** has its unique hunting technique by performing rapid bowing *** show the efficiency of the proposed algorithm,DTO is tested and compared to the algorithms of Particle Swarm Optimization(PSO),Whale Optimization Algorithm(WOA),Grey Wolf Optimizer(GWO),and Genetic Algorithm(GA)based on the seven unimodal benchmark ***,ANOVA and Wilcoxon rank-sum tests are performed to confirm the effectiveness of the DTO compared to other optimization ***,to demonstrate the proposed algorithm’s suitability for solving complex realworld issues,DTO is used to solve the feature selection *** strategy of using DTOs as feature selection is evaluated using commonly used data sets from the University of California at Irvine(UCI)*** findings indicate that the DTO outperforms all other algorithms in addressing feature selection issues,demonstrating the proposed algorithm’s capabilities to solve complex real-world situations.

关键词： Metaheuristic optimization swarmoptimization feature selection function optimization

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Flexural Behavior of Cross-Connected Brick Masonry Infill Wall Panels Supported on Reinforced Concrete Beam Grids

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Journal of Shanghai Jiaotong university(Science) 2024年第5期29卷 889-899页

作者： BAYOUMI el-Said Abd-Allah MAHMOUD Mahmoud Hassan ARIF mohammed Department of Civil Engineering College of EngineeringQassim UniversityBuraidah51452Saudi Arabia Engineering Expert at Ministry of Justice Cairo11516Egypt Department of Civil Engineering Faculty of EngineeringAl-Azhar UniversityCairo11651Egypt Department of Civil Engineering Aligarh Muslim UniversityAligarh202002India

This paper presents an experimental investigation on the flexural behavior of cross-connected brick masonry infill wall panels supported on reinforced concrete beam grids above and below the *** experimental program was comprised of six wall *** effect of change in lower beam stiffness relative to the wall and the geometry of the main walls were *** the results of the experimental tests,the increase in the depth of the lower beam grid reduces the deflection,resulting in an increase in the load carrying capacity of the ***,the stiffness of the main walls affects the deflection and the failure load of the cross walls.

关键词： brick masonry infill walls reinforced concrete beam grid main and cross walls stiffness deflection crack pattern failure load

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Ki-67 immunohistochemical expression in mandibular ameloblastoma: A prognostic indicator for local recurrence

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Open Journal of Stomatology 2013年第9期3卷 520-526页

作者： ayman Hegab Mohmmad Shuman mohammed Abd el-Akher Delaram Arwlan Medcal City Teaching Hospital Teaching Laboratory Baghdad Iraq Oral and Maxillofacial Surgery Faculty of Dental Medicine Al-Azhar University Assuit Egypt Oral and Maxillofacial Surgery Faculty of Dental Medicine Al-Azhar University Cairo Egypt

Objective: This study used Ki-67 to evaluate the proliferative activity of ameloblastoma in an attempt to provide a scientific basis for any differences in the biologic behaviour that exists between the different types of ameloblastoma and correlate the results with the recurrence rate. Study design: We assessed Ki-67 expression by immunohistochemistry in 32 cases of mandibular ameloblastoma. Formalin-fixed, paraffinembedded blocks were sectioned and used for Haematoxylin & Eosin (H&E) staining. H&E slides were used to re-evaluate the histological types of the ameloblastoma. Immunohistochemical analysis for Ki-67 with a labelled streptavidin-biotin-peroxidase complex technique was performed on tumour sections using Monoclonal Mouse Anti-Human Ki-67 Antigen (clones MIB1, code M7240, Dako Corporation). Lymph nodes (lymphoma) were used as positive control for Ki-67. Results: The specimens comprised 18 cases of Follicular ameloblastoma, 7 cases of Cystic ameloblastoma, 4 cases of plexiform ameloblastoma, and 3 cases of Acanthotic ameloblastoma. The results showed that cellular proliferative activity varied within the ameloblastoma types. There was no statistically significant difference in the Ki-67 Acanthotic, cystic and follicular types of ameloblastoma, while plexiform type showed statistically significantly higher levels than the other 3 types. The mean Ki-67 labelling index of plexiform ameloblastoma ranged from 13 to 30 with a mean of 19.75. The mean values of Ki-67 were statistically significantly higher in recurrent than?non-recurrent cases. Conclusion: The significant expression of Ki-67 could provide useful prognostic markers for proliferative activity and good prognostic indicators for recurrence rate of mandibular ameloblastoma.

关键词： Mandibular Ameloblastoma Recurrence Immunohistochemistry Ki-67

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Implication of sewage sludge increased application rates on soil fertility and heavy metals contamination risk

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Emerging Contaminants 2023年第1期9卷 41-52页

作者： Abdelmajid Achkir Abdelhakim Aouragh mohammed el Mahi el Mostapha Lotfi Najoua Labjar mohammed el Bouch Moulay Lahcen Ouahidi Taruvinga Badza Hamid Farhane Tawfik el Moussaoui Laboratory of Spectroscopy Molecular ModellingMaterialsNanomaterialsWater and EnvironmentCERN2DENSAMMohammed V University in Rabat10100Morocco National Laboratory for Studies and Pollution Monitoring-Ministry of Energy Mines and EnvironmentDepartment of EnvironmentRabatMorocco School of Agricultural Earth and Environmental SciencesUniversity of KwaZulu-NatalPrivate Bag X01ScottsvillePietermaritzburg3209South Africa Team of Anthropogenetic Sciences and Biotechnologies Faculty of SciencesChouaib Doukkali UniversityEl Jadida24000Morocco Resources Valorization Environment and Sustainable Development Research Team(RVESD)Department of MinesMines School of RabatAve Hadj Ahmed CherkaouiBP 753AgdalRabat53000Morocco

This paper aims to assess soil fertility and risk contamination parameters in response to increased amendment rates of sewage sludge application,under semi-arid climatic conditions of Morocco,using two soil textures:soil A(clay-silty)and soil B(sandy-clay)over two *** this end,sewage sludge and soils treatments physicochemical parameters,heavy metals content,degree of pollution and associated risks were evaluated and compared to controlled *** results showed that all studied parameters changed significantly(pPb>Zn>Ni>Cd>***,their concentrations were below the critical values established by the European Union for the agronomic use of *** obtained results of assessed parameters indicating SS degree of pollution and associated risks showed a low to a moderate contamination risks of heavy ***,environmental risks of sewage sludge application will be related to increase of heavy metals mainly in a long-term agricultural ***,optimal management of sewage sludge application is recommended to ensure sustainability and benefits at the same time to master the contamination risks.

关键词： Sewage sludge Soil Land application Fertility Heavy metals Risk assessment

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An Efficient Intrusion Detection Framework in Software-Defined Networking for Cybersecurity Applications

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Computers, Materials & Continua 2022年第8期72卷 3529-3548页

作者： Ghalib H.Alshammri Amani K.Samha Ezz el-Din Hemdan mohammed Amoon Walid el-Shafai Department of Computer Science Community CollegeKing Saud UniversityRiyadh28095Saudi Arabia Deanship of Scientific Research Saudi Electronic UniversityRiyadhSaudi Arabia Management Information System Department College of Business AdministrationKing Saud UniversityRiyadh28095Saudi Arabia Department of Computer Science and Engineering Faculty of Electronic EngineeringMenoufia UniversityMenouf32952Egypt Security Engineering Lab Computer Science DepartmentPrince Sultan UniversityRiyadh11586Saudi Arabia electronics and electrical Communications Eng.Depart. Faculty of Electronic EngineeringMenoufia UniversityMenouf32952Egypt

Network management and multimedia data mining techniques have a great interest in analyzing and improving the network traffic *** recent times,the most complex task in Software Defined Network(SDN)is security,which is based on a centralized,programmable ***,monitoring network traffic is significant for identifying and revealing intrusion abnormalities in the SDN ***,this paper provides an extensive analysis and investigation of the NSL-KDD dataset using five different clustering algorithms:K-means,Farthest First,Canopy,Density-based algorithm,and Exception-maximization(EM),using the Waikato Environment for Knowledge Analysis(WEKA)software to compare extensively between these five ***,this paper presents an SDN-based intrusion detection system using a deep learning(DL)model with the KDD(Knowledge Discovery in Databases)***,the utilized dataset is clustered into normal and four major attack categories via the clustering ***,a deep learning method is projected for building an efficient SDN-based intrusion detection *** results provide a comprehensive analysis and a flawless reasonable study of different kinds of attacks incorporated in the KDD ***,the outcomes reveal that the proposed deep learning method provides efficient intrusion detection performance compared to existing *** example,the proposed method achieves a detection accuracy of 94.21%for the examined dataset.

关键词： Deep neural network DL WEKA network traffic intrusion and anomaly detection SDN clustering and classification KDD dataset

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Real-Time Multi-Class Infection Classification for Respiratory Diseases

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Computers, Materials & Continua 2022年第11期73卷 4157-4177页

作者： Ahmed el.Shafee Walid el-Shafai Abdulaziz Alarifi mohammed Amoon Aman Singh Moustafa H.Aly Department of electrical Engineering Faculty of EngineeringAhram Canadian UniversityGizaEgypt Department of electronics and electrical Communications Engineering Faculty of Electronic EngineeringMenoufia UniversityMenouf32952Egypt Department of Computer Science Community CollegeKing Saud UniversityRiyadh11437Saudi Arabia Higher Polytechnic School Universidad Europea del AtlánticoSantander39011Spain electronics and Communications Engineering Department College of Engineering and TechnologyArab Academy for ScienceTechnology and Maritime TransportAlexandria1029Egypt

Real-time disease prediction has emerged as the main focus of study in the field of computerized *** disease identification framework can assist medical practitioners in diagnosing disease in a way that is reliable,consistent,and timely,successfully lowering mortality rates,particularly during endemics and *** prevent this pandemic’s rapid and widespread,it is vital to quickly identify,confine,and treat affected *** need for auxiliary computer-aided diagnostic(CAD)systems has *** recent studies have indicated that radiological pictures contained critical information regarding the COVID-19 *** advanced convolutional neural network(CNN)architectures in conjunction with radiological imaging makes it possible to provide rapid,accurate,and extremely useful susceptible *** research work proposes a methodology for real-time detection of COVID-19 infections caused by the Corona *** purpose of this study is to offer a two-way COVID-19(2WCD)diagnosis prediction deep learning system that is built on Transfer Learning Methodologies(TLM)and features customized fine-tuning on top of fully connected layered pre-trained CNN architectures.2WCD has applied modifications to pre-trained models for better *** is designed and implemented to improve the generalization ability of the classifier for binary and multi-class *** with the ability to differentiate COVID-19 and No-Patient in the binary class model and COVID-19,No-Patient,and Pneumonia in the multi-class model,our framework is augmented with a critical add-on for visually demonstrating infection in any tested radiological image by highlighting the affected region in the patient’s lung in a recognizable color *** proposed system is shown to be extremely robust and reliable for real-time COVID-19 diagnostic *** can also be used to forecast other lung-related *** the system can assist medical practitioner

关键词： COVID-19 real-time computerized disease prediction intelligent disease identification framework CAD systems X-rays CT-scans CNN real-time detection of COVID-19 infections

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The Role of Serum Trace elements and Oxidative Stress in Egyptian Breast Cancer Patients

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Advances in Breast Cancer Research 2016年第1期5卷 37-47页

作者： Mona Mohamed K. el-Deeb Heba G. el-Sheredy ayman Farouk mohammed Department of Chemical Pathology Medical Research Institute Alexandria University Alexandria Egypt Department of Cancer Management and Research Medical Research Institute Alexandria University Alexandria Egypt Department of Surgery Medical Research Institute Alexandria University Alexandria Egypt

Background: Oxidative stress is considered to be involved in the pathophysiology of all cancers. Studies indicated that the levels of oxidative stress markers increased in breast cancer. Trace metals are essential to normal human homeostasis. When present in an abnormal expression, they contribute in many pathological processes. Some trace metals are claimed to be carcinogenic and capable of inducing a toxic effect through the formation of free radicles and acting as cofactors in the oxidative damage of biological macromolecules and DNA. Objective: Our aim was to investigate the serum levels of some trace elements (Copper, Zinc and Cadmium), the total oxidative and anti-oxidative capacity (TOC and TAC) in patients with breast cancer in comparison to patients with benign breast tumours. Patients and Methods: The present study included 65 females. The participates were divided into 2 main groups: control group which consisted of 20 apparently healthy female;the patient groups which divided into 3 groups: group B included 15 patients with benign breast tumours, group N consisted of 15 newly diagnosed breast cancer patients and group M included 15 patients with metastatic breast cancer. Results: The mean serum levels of Copper, Zinc, and Cadmium were significantly higher in the three patients groups (B, N and M) than the control group. Similarly, serum uric acid (UA) and (TAC) levels showed significant higher level in both breast cancer groups as compared to the benign group. However TOC levels showed only significantly higher level in metastatic group. Conclusions: The present study suggested elevated TAC, UA and TOC in breast cancer patients. The increased levels of trace elements could lead to formation of free radicals or other reactive oxygen species. The serum profile of these trace metals may be helpful in predicting prognosis of breast cancer.

关键词： Trace elements Oxidative Capacity Breast Cancer Antioxidants

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Hepatobiliary & Pancreatic Diseases International 2009年第4期8卷 358-362页

作者： mohammed Saied Hedaya Walid Mohamed el Moghazy Shinji Uemoto Department of Hepato-Biliary-Pancreatic and Transplant Surgery Kyoto UniversityJapan Department of General Surgery Theodore Bilharz Research InstituteGizaEgypt Department of Surgery Sohag UniversityEgypt

BACKGROUND:Liver transplantation currently represents the ultimate therapy for bleeding esophageal varices in patients with liver *** is the only therapy that cures both portal hypertension and the underlying liver *** outcome of liver transplantation is thought to be correlated with several *** this study,the clinical outcome of living-related liver transplantation(LRLT) was evaluated in patients with variceal bleeding,and the prognostic indicators of short-term survival in these patients were identified. METHODS:We reviewed retrospectively 121 patients with a history of variceal bleeding who had received LRLT from 1998 to *** clinical outcomes were analyzed,and the risk factors for short-term survival were defined. RESULTS:The 3-month survival rate of patients with variceal bleeding was 83.4%,while that of non-bleeders was 87%.Sepsis was the commonest cause of death in both *** vein diameter and blood transfusion were the only independent prognostic factors for short-term survival among variceal bleeders. CONCLUSION:The outcome of LRLT in recipients with variceal bleeding is based on the improvement of portal hemodynamics,by minimizing intraoperative blood loss and subsequent blood transfusion.

关键词： living-related liver transplantation outcome prognostic factors variceal bleeding

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Feasibility Study for a Hybrid Power Plant(PV-Wind-Diesel-Storage)Connected to the electricity Grid

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Fluid Dynamics & Materials Processing 2022年第6期18卷 1607-1617页

作者： Fahad Maoulida Kassim Mohamed Aboudou Djedjig Rabah mohammed el-Ganaoui Laboratory LEMAFaculty of Sciences and TechniquesUniversity of ComorosMoroniComoros Laboratory LERMABIUT Henri Poincaréof LongwyUniversity of LorraineNancyFrance IREMIS Institute CUFRUniversity of MayotteDembeni MayotteFrance

In this work,we present a feasibility study for a new hybrid power plant(PV-Wind-Diesel-Storage)directly connected to the electrical *** simulations are performed to verify the performance of the hybrid system under different scenarios using real meteorological *** is shown that the performances of the hybrid system connected to the electrical network depend obviously on the available energy resources and constraints because the renewable energies are *** addition,the price of the kWh of electricity supplied by the hybrid system is determined,which amounts to$0.209/kWh,which is very cost effective and satisfactory for the considered sample conditions(Comoros Island).

关键词： Hybrid energy renewable energy HOMER connected grid

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