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Review on friction stir welding of dissimilar magnesium and aluminum alloys: Scientometric analysis and strategies for achieving high-quality joints

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Journal of Magnesium and Alloys 2023年第11期11卷 4082-4127页

作者： Mohamed M.Z.ahmed Mohamed M.El-sayed Seleman Dariusz Fydrych Gürel ÇAM Department of Mechanical Engineering College of Engineering at Al KharjPrince Sattam Bin Abdulaziz UniversityAl Kharj 11942Saudi Arabia Department of Metallurgical and Materials Engineering Faculty of Petroleum and Mining EngineeringSuez UniversitySuez 43512Egypt Faculty of Mechanical Engineering and Ship Technology Institute of Machines and Materials TechnologyGdańsk University of TechnologyGabriela Narutowicza Street 11/12Gdańsk 80-233Poland Department of Mechanical Engineering Iskenderun Technical UniversityIskenderunHatay 31200Turkiye

Magnesium and aluminum alloys continually attract interest as lightweight structural materials for transport applications. However, joining these dissimilar alloys is very challenging. The main obstacle that hinders progress in dissimilar Mg-Al joining is the formation of brittle intermetallic compounds(IMCs). As a solid-state joining technique, FSW is an excellent candidate to attenuate the deleterious IMC effects in dissimilar Al-Mg joining due to the inherent low heat inputs involved in the process. However, the IMCs, namely Al_(3)Mg_(2) and Al_(12)Mg_(17) phases, have also been reported to form during Al-Mg dissimilar FSW;their amount and thickness depend on the heat input involved;thus,the weld parameters used. Since the heat dissipated in the material during the welding process significantly affects the amount of IMCs,the heat input during FSW should be kept as low as possible to control and reduce the amount of IMCs. This review aims to critically discuss and evaluate the studies conducted in the dissimilar Al/Mg FSW through a scientometric analysis and also with a focus on the strategies recently applied to enhance joint quality. The scientometric analysis showed that the main research directions in Mg/Al FSW are the technological weldability of aluminum and magnesium during FSW, structural morphology, and mechanical properties of dissimilar welded joints. Considering the scope of application of the aforementioned joints, the low share of articles dealing with environmental degradation and operational cracking is surprising. This might be attributed to the need for well-developed strategies for obtaining high-quality and sustainable joints for applications. Thus, the second part of this review is conventional, focusing mainly on the new strategies for obtaining high-quality Mg/Al joints. It can be concluded that in addition to the necessity to optimum welding parameters to suppress the excessive heat to limit the amount and thickness of IMC formed and improv

关键词： Friction stir welding(FSW) Al-alloys Mg-alloys Dissimilar material welding Intermetallics Weld performance

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An Efficient Encryption and Compression of Sensed IoT Medical Images Using Auto-Encoder

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Computer Modeling in Engineering & Sciences 2023年第2期134卷 909-926页

作者： Passent El-kafrawy Maie Aboghazalah Abdelmoty M.ahmed Hanaa Torkey Ayman El-sayed School of Information Technology and Computer Science Nile UniversityGiza12677Egypt Math and Computer Science Department Faculty of ScienceMenoufia UniversityMenoufia32511Egypt Department of Computer Engineering College of Computer ScienceKing Khalid UniversityAbha61421Saudi Arabia Computer Science and Engineering Department Faculty of Electronic EngineeringMenoufia UniversityMenouf32952Egypt

Healthcare systems nowadays depend on IoT sensors for sending data over the internet as a common *** ofmedical images is very important to secure patient *** these images consumes a lot of time onedge computing;therefore,theuse of anauto-encoder for compressionbefore encodingwill solve such a *** this paper,we use an auto-encoder to compress amedical image before encryption,and an encryption output(vector)is sent out over the *** the other hand,a decoder was used to reproduce the original image back after the vector was received and *** convolutional neural networks were conducted to evaluate our proposed approach:The first one is the auto-encoder,which is utilized to compress and encrypt the images,and the other assesses the classification accuracy of the image after decryption and *** hyperparameters of the encoder were tested,followed by the classification of the image to verify that no critical information was lost,to test the encryption and encoding *** this approach,sixteen hyperparameter permutations are utilized,but this research discusses three main cases in *** first case shows that the combination of Mean Square Logarithmic Error(MSLE),ADAgrad,two layers for the auto-encoder,and ReLU had the best auto-encoder results with a Mean Absolute Error(MAE)=0.221 after 50 epochs and 75%classification with the best result for the classification *** second case shows the reflection of auto-encoder results on the classification results which is a combination ofMean Square Error(MSE),RMSprop,three layers for the auto-encoder,and ReLU,which had the best classification accuracy of 65%,the auto-encoder gives MAE=0.31 after 50 *** third case is the worst,which is the combination of the hinge,RMSprop,three layers for the auto-encoder,and ReLU,providing accuracy of 20%and MAE=0.485.

关键词： Auto-encoder cloud image encryption IoT healthcare

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Biological silicon nanoparticles improve Phaseolus vulgaris L. yield and minimize its contaminant contents on a heavy metals-contaminated saline soil

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Journal of Environmental Sciences 2021年第8期33卷 1-14页

作者： Mohamed T.El-Saadony El-sayed M.Desoky ahmed M.Saad Rania S.M.Eid Eman Selem ahmed S.Elrys Department of Agricultural Microbiology Faculty of AgricultureZagazig UniversityZagazig 44511Egypt Botany Department Faculty of AgricultureZagazig UniversityZagazig 44511Egypt Biochemistry Department Faculty of AgricultureZagazig UniversityZagazig 44511Egypt Agricultural Botany Department Faculty of AgricultureBenha University13736Egypt Botany and Microbiology Department Faculty of ScienceZagazig University44511Egypt Soil Science Department Faculty of AgricultureZagazig University44511ZagazigEgypt

The synthesis of biological silicon nano-particles(Bio-Si-NPs)is an eco-friendly and lowcost *** is no study focusing on the effect of Bio-Si-NPs on the plants grown on saline soil contaminated with heavy *** this study,an attempt was made to synthesis Bio-Si-NPs using potassium silica florid substrate,and the identified Aspergillus tubingensis AM11 isolate that separated from distribution systems of the potable water.A twoyear field trial was conducted to compare the protective effects of Bio-Si-NPs(2.5 and 5.0 mmol/L)and potassium silicate(10 mmol/L)as a foliar spray on the antioxidant defense system,physio-biochemical components,and the contaminants contents of Phaseolus vulgaris *** on saline soil contaminated with heavy *** findings showed that all treatments of Bio-Si-NPs and potassium silicate significantly improved plant growth and production,chlorophylls,carotenoids,transpiration rate,net photosynthetic rate,stomatal conductance,membrane stability index,relative water content,free proline,total soluble sugars,N,P,K,Ca2+,K+/Na+,and the activities of peroxidase,catalase,ascorbic peroxidase and superoxide oxide *** of Bio-Si-NPs and potassium silicate significantly decreased electrolyte leakage,malondialdehyde,H2 O2,O2·-,Na+,Pb,Cd,and Ni in leaves and pods of Phaseolus vulgaris *** to ***-Si-NPs were more effective compared to potassium *** of Bio-Si-NPs at the rate of 5 mmol/L was the recommended treatment to enhance the performance and reduce heavy metals content on plants grown on contaminated saline soils.

关键词： Bean Silicon Nano-silicon Aspergillus tubingensis AM11 Salinity Heavy metals

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Challenge of managing hepatitis B virus and hepatitis C virus infections in resource-limited settings

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World Journal of Hepatology 2022年第7期14卷 1333-1343页

作者： Zeinab Nabil ahmed Said Manal Hamdy El-sayed Department of Microbiology&Immunology Faculty of Medicine for Girls Al-Azhar UniversityCairoEgypt Department of Pediatrics Faculty of MedicineAin Shams UniversityCairoEgypt

The global burden of hepatitis B virus(HBV)and hepatitis C virus(HCV)infections and coinfection represents a major public health concern,particularly in resource-limited *** of HCV by 2030 has become foreseeable,with effective direct-acting antiviral oral therapies and the availability of affordable generics in low-and-middle-income countries(LMICs).However,access to oral nucleos(t)ide therapy for HBV remains critical and is limited outside the existing global HIV program platforms despite affordable *** of mother-to-child transmission of HBV through scaling up of birth dose implementation in LMICs is essential to achieve the 2030 elimination *** individuals living with HBV and/or HCV in resource-limited settings are unaware of their infection,and with improved access to medications,the most significant barrier remains access to affordable diagnostics and preventive *** coronavirus disease 2019 pandemic interrupted hepatitis elimination programs,albeit offered opportunities for improved diagnostic capacities and raised political awareness of the critical need for strengthening health care services and universal health *** review underpins the HBV and HCV management challenges in resource-limited settings,highlighting the current status and suggested future elimination strategies in some of these *** efforts should continue to improve awareness and political *** resources should be secured to access and implement comprehensive strategies for diagnosis and linkage to care in resource-constrained settings to fulfill the 2030 elimination goal.

关键词： Hepatitis B virus/hepatitis C virus Chronic hepatitis Resource-limited settings HBV and HCV elimination

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Use of Vehicle Power-Train Simulation with AMT for Fuel Economy and Performance

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Modern Mechanical Engineering 2013年第3期3卷 127-135页

作者： nagwa ahmed Abdel-Halim Automotive Engineering Department Faculty of Engineering Helwan University Cairo Egypt

Frequent stops and starts for the traffic lights as well as acceleration/deceleration, rather than at constant speed, are the most common transient operating conditions. Consequently, understanding the dynamic characteristics of the powertrain system is vitally important in designing an efficient and fresh vehicle. To investigate the dynamic characteristics of the road vehicle performance, apart from a real road testing, it is necessary to set up a numerical test bed for dynamic performance simulation. The latter is even more convenient, costless and data repeatable. However, the aim of the present paper is to establish a computer simulation package by which the road vehicle power-train system design is developed for a small passenger vehicle based on fuel economy and performance. Furthermore, a proposed professional computer program of Automated Manual Transmission (AMT) system related to organizer algorithm of attractive gearshift requests is also introduced. The result of the proposed AMT ensures that the drive wheels force balance in order to keep gear shift, to kick down or up not only shift feel? but also the fuel consumption, and to alarm by near a specific failure or to get back system performance.

关键词： Automated Manual Transmission (AMT) Dynamic Characteristics Dynamic Performance Simulation Fuel Economy

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Corrigendum to“Long-term correction of hemophilia B through CRISPR/Cas9 induced homology-independent targeted integration”[Journal of Genetics and Genomics(2022)49,1114-1126]

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Journal of Genetics and Genomics 2024年第5期51卷 578-578页

作者： Xi Chen Xuran Niu Yang Liu Rui Zheng Lei Yang Jian Lu Shuming Yin Yu Wei Jiahao Pan ahmed sayed Xueyun Ma Meizhen Liu Fengxiang Jing Mingyao Liu Jiazhi Hu Liren Wang Dali Li Shanghai Frontiers Science Center of Genome Editing and Cell Therapy Shanghai Key Laboratory of Regulatory BiologyInstitute of Biomedical Sciences and School of Life SciencesEast China Normal UniversityShanghai 200241China The MOE Key Laboratory of Cell Proliferation and Differentiation Genome Editing Research CenterSchool of Life SciencesPeking-Tsinghua Center for Life SciencesPeking UniversityBeijing 100871China Xinhua Hospital Shanghai Jiao Tong University School of MedicineShanghai 200092China Biochemistry Laboratory Chemistry DepartmentFaculty of ScienceAssiut UniversityAssiut 71516Egypt Shanghai Turtle Technology Co. Shanghai 201900China

The authors regret that the grant number“21CJ1402200”in the Acknowledgments session should be replaced as“21JC1402200”.The corrected contents areprovided as follows.

关键词： CRISPR/Cas9 correction ledgment

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Augmenting IoT Intrusion Detection System Performance Using Deep Neural Network

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Computers, Materials & Continua 2023年第1期74卷 1351-1374页

作者： Nasir sayed Muhammad Shoaib Waqas ahmed Sultan Noman Qasem Abdullah M.Albarrak Faisal Saeed Department of Computer Science Islamia College PeshawarPeshawar25120Pakistan Department of Computer Science CECOS University of IT and Emerging SciencesPeshawar25000Pakistan Department of Electrical Engineering HITEC University TaxilaTaxila47080Pakistan Computer Science Department College of Computer and Information SciencesImam Mohammad Ibn Saud Islamic University(IMSIU)Riyadh11432Saudi Arabia DAAI Research Group Department of Computing and Data ScienceSchool of Computing and Digital TechnologyBirmingham City UniversityBirminghamB47XGUK

Due to their low power consumption and limited computing power,Internet of Things(IoT)devices are difficult to ***,the rapid growth of IoT devices in homes increases the risk of *** detection systems(IDS)are commonly employed to prevent *** systems detect incoming attacks and instantly notify users to allow for the implementation of appropriate *** have been made in the past to detect new attacks using machine learning and deep learning techniques,however,these efforts have been *** this paper,we propose two deep learning models to automatically detect various types of intrusion attacks in IoT ***,we experimentally evaluate the use of two Convolutional Neural Networks(CNN)to detect nine distinct types of attacks listed in the NF-UNSW-NB15-v2 *** accomplish this goal,the network stream data were initially converted to twodimensional images,which were then used to train the neural network *** also propose two baseline models to demonstrate the performance of the proposed ***,both models achieve high accuracy in detecting the majority of these nine attacks.

关键词： Internet of things intrusion detection system deep learning convolutional neural network supervised learning

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Intelligent Deep Data Analytics Based Remote Sensing Scene Classification Model

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Computers, Materials & Continua 2022年第7期72卷 1921-1938页

作者： ahmed Althobaiti Abdullah Alhumaidi Alotaibi sayed Abdel-Khalek Suliman A.Alsuhibany Romany F.Mansour Department of Electrical Engineering College of EngineeringTaif UniversityP.O.Box 11099Taif21944Saudi Arabia Department of Science and Technology College of RanyahTaif UniversityP.O.Box 11099Taif21944Saudi Arabia Department of Mathematics College of ScienceP.O.Box 11099Taif UniversityTaif21944Saudi Arabia Department of Computer Science College of ComputerQassim UniversityBuraydah51452Saudi Arabia Department of Mathematics Faculty of ScienceNew Valley UniversityEl-Kharga72511Egypt

Latest advancements in the integration of camera sensors paves a way for newUnmannedAerialVehicles(UAVs)applications such as analyzing geographical(spatial)variations of earth science in mitigating harmful environmental impacts and climate *** have achieved significant attention as a remote sensing environment,which captures high-resolution images from different scenes such as land,forest fire,flooding threats,road collision,landslides,and so on to enhance data analysis and decision *** scene classification has attracted much attention in the examination of earth data captured by *** paper proposes a new multi-modal fusion based earth data classification(MMF-EDC)*** MMF-EDC technique aims to identify the patterns that exist in the earth data and classifies them into appropriate class *** MMF-EDC technique involves a fusion of histogram of gradients(HOG),local binary patterns(LBP),and residual network(ResNet)*** fusion process integrates many feature vectors and an entropy based fusion process is carried out to enhance the classification *** addition,the quantum artificial flora optimization(QAFO)algorithm is applied as a hyperparameter optimization *** AFO algorithm is inspired by the reproduction and the migration of flora helps to decide the optimal parameters of the ResNet model namely learning rate,number of hidden layers,and their number of ***,Variational Autoencoder(VAE)based classification model is applied to assign appropriate class labels for a useful set of feature *** proposedMMF-EDCmodel has been tested using UCM and WHU-RS *** proposed MMFEDC model attains exhibits promising classification results on the applied remote sensing images with the accuracy of 0.989 and 0.994 on the test UCM and WHU-RS dataset respectively.

关键词： Remote sensing unmanned aerial vehicles deep learning artificial intelligence scene classification

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On-Chip Inductor Technique for Improving LNA Performance Operating at 15 GHz

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Circuits and Systems 2012年第4期3卷 334-341页

作者： El-sayed A. M. Hasaneen nagwa Okely Electrical Engineering Department El-Minia University El-Minia Egypt

This paper presents a technique for low noise figure reduction of low-noise amplifier (LNA). The proposed LNA is designed in a source degeneration technique that offers lower noise figure. The resistance of the on-chip inductor is reduced by using multilayer that significantly reduces the thermal noise due to spiral inductor. Also, using spiral inductor as a gate inductor reduces the effect of the input parasitic capacitance on the noise figure and provides a good matching at the input and output of the LNA. The results of the LNA using multilayer on-chip inductor compared will off-chip inductor have been illustrated. It shows that the proposed technique reduces significantly the noise figure and improves the matching. The proposed LNA is designed in 0.13 μm process with 1.3 V supply voltage and simulated using Advanced Design System (ADS) software. The simulation results show that the LNA is unconditionally stable and provides a forward gain of 11.087 dB at operating frequency of 15 GHz with 1.784 dB noise figure and input and output impedance matching of –17.93 dB, and –10.04 dB.

关键词： Low Noise Amplifier On-Chip Inductor Noise Figure Cascade Amplifier Scattering Matrix

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Spirulina platensis extract improves the production and defenses of the common bean grown in a heavy metals-contaminated saline soil

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Journal of Environmental Sciences 2023年第7期129卷 240-257页

作者： Mostafa M.Rady ahmed S.Elrys Eman Selem ahmed A.A.Mohsen Safaa M.A.I.Arnaout ahmed H.El-Sappah Khaled A.El-Tarabily El-sayed M.Desoky Botany Department Faculty of AgricultureFayoum UniversityFayoum 63514Egypt College of Tropical Crops Hainan UniversityHaikou 570228China Soil Science Department Faculty of AgricultureZagazig UniversityZagazig 44511Egypt Botany and Microbiology Department Faculty of ScienceZagazig UniversityZagazig 44511Egypt Horticulture Department Faculty of AgricultureZagazig UniversityZagazig 44511Egypt Botany Department Faculty of AgricultureZagazig UniversityZagazig 44511Egypt Genetics Department Faculty of AgricultureZagazig UniversityZagazig 44511Egypt Department of Biology College of ScienceUnited Arab Emirates UniversityAl-Ain 15551United Arab Emirates Khalifa Center for Genetic Engineering and Biotechnology United Arab Emirates UniversityAl-Ain 15551United Arab Emirates Harry Butler Institute Murdoch UniversityMurdoch 6150Australia

Plants have to cope with several abiotic stresses,including salinity and heavymetals(HMs).Under these stresses,several extracts have been used as effective natural biostimulants,however,the use of Spirulina platensis(SP)extract(SPE)remains *** effects of SPE were evaluated as soil addition(SA)and/or foliar spraying(FS)on antioxidant defenses and HMs content of common bean grown in saline soil contaminated with ***(40 or 80 mg SPE/hill added as SA or 20 or 40 mg SPE/plant added as FS)or integrative(SA+FS)applications of SPE showed significant improvements in the following order:SA-80+FS-40>SA-80+FS-20>SA-40+FS-40>SA-40+FS-20>SA-80>SA-40>FS-40>FS-20>***,the integrative SA+FS with 40 mg SP/plant was the most effective treatment in increasing plant growth and production,overcoming stress effects and minimizing contamination of the edible *** significantly increased plant growth(74%–185%)and yield(107%–227%)by enhancing net photosynthetic rate(78.5%),stomatal conductance(104%),transpiration rate(124%),and contents of carotenoids(60.0%),chlorophylls(49%–51%),and NPK(271%–366%).These results were concurrent with the marked reductions in malondialdehyde(61.6%),hydrogen peroxide(42.2%),nickel(91%–94%),lead(80%–9%),and cadmium(74%–91%)contents due to the improved contents of glutathione(87.1%),ascorbate(37.0%),andα-tocopherol(77.2%),and the activities of catalase(18.1%),ascorbate peroxidase(18.3%),superoxide dismutase(192%),and glutathione reductase(52.2%)as reinforcing ***,this most effective treatment is recommended to mitigate the stress effects of salinity and HMs on common bean production while minimizing HMs in the edible part.

关键词： Antioxidant defense system Biostimulants Heavy metals Microalgae extracts Saline soil Soil pollution

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