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Grain crushing in geoscience materials-Key issues on crushing response,measurement and modeling:Review and preface

Geoscience Frontiers 2020年第2期11卷 363-374页

作者： Yang Xiao Chandrakant SDesai Ali Daouadji Armin WStuedlein Hanlong Liu hossam abuel-naga Key Laboratory of New Technology for Construction of Cities in Mountain Area Chongqing UniversityChongqing 400045China School of Civil Engineering Chongqing UniversityChongqing 400045China Dept.of Civil Engineering and Engineering Mechanics Univ.of ArizonaTucsonAZ85721USA Universite de Lyon INSA LYONLaboratoire GEOMASJ.C.A.Coulomb34 Avenue des Arts69621VilleurbanneFrance School of Civil and Construction Engineering Oregon State UniversityCorvallisOR97331USA Chongqing University Chongqing 400045China School of Engineering and Mathematical Sciences La Trobe UniversityVictoria3086Australia

Grain crushing is commonly encountered in deep foundation engineering,high rockfill dam engineering,railway engineering,mining engineering,coastal engineering,petroleum engineering,and other geoscience *** crushing is affected by fundamental soil characteristics,such as their mineral strength,grain size and distribution,grain shape,density and specimen size,and also by external factors including stress magnitude and path,loading rate and duration,degree of saturation,temperature and geochemical *** material becomes a series of different materials with the change in its grading during grain crushing,resulting in a decrease in strength and dilatancy and an increase in *** of grain crushing on strength,dilatancy,deformation and failure mechanisms have been extensively investigated through laboratory testing,discrete element method(DEM)modelling,Weibull statistics,and constitutive modelling within the framework of the extended crushing-dependent critical state theory or the energy-based *** papers summarized in this review article for this special issue addressed the above issues in grain crushing through the advanced testing and modelling.

关键词： Grain crushing Particle breakage Strength Dilatancy DEM modelling Constitutive modelling

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砂土地基中摩擦型能量桩群桩热力学特性研究（英文）

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Journal of Zhejiang University-Science A(Applied Physics & Engineering) 2018年第8期19卷 638-649页

作者： Huai-feng PENG Gang-qiang KONG Han-long LIU hossam abuel-naga Yao-hu HAO Key Laboratory of Geomechanics and Embankment Dam Engineering Hohai University Key Laboratory of New Technology for Construction of Cities in Mountain Area Chongqing University College of Science Health and Engineering La Trobe University

目的:能量桩在工作状态下的热力学响应十分复杂,同时受到桩顶荷载、桩侧摩擦以及温度等多重因素的影响。当群桩中出现部分能量桩不工作时,将造成上部结构的额外应力与变形。因此,本文重点探讨摩擦型能量桩群桩中部分能量桩在加热制冷作... 详细信息

目的:能量桩在工作状态下的热力学响应十分复杂,同时受到桩顶荷载、桩侧摩擦以及温度等多重因素的影响。当群桩中出现部分能量桩不工作时,将造成上部结构的额外应力与变形。因此,本文重点探讨摩擦型能量桩群桩中部分能量桩在加热制冷作用下的热力学响应,并与单桩的热力学效应进行对比分析。创新点:1.通过建立摩擦型能量桩群桩模型试验,探讨桩侧摩擦对能量桩群桩的影响规律;2.利用能量桩群桩与单桩对比,揭示能量桩群桩与单桩热力响应特性的区别;3.揭示部分能量桩加热制冷作用对能量桩群桩的影响机理。方法:1.建立摩擦型能量桩群桩及单桩的模型试验;2.将能量桩群桩与单桩进行对比,研究能量桩群桩与单桩热力响应特性的区别;3.进行能量桩群桩部分加热制冷试验。结论:1.对于长期工作的能量群桩,可以将其视为一个长宽高与整个群桩相同的热交换体,其表面温度与群桩的平均表面温度一致。2.能量桩单桩在加热过程中,由于桩底受到的限制较大,所以桩顶位移大于桩底位移。3.能量桩单桩在制冷过程中,由于土体及桩体收缩,会出现明显的下沉。4.能量桩群桩桩帽在加热过程中,桩帽的位移与群桩的上半部分长度相关;在本文的试验中,由于群桩上半部分受土的限制较小,因此其位移与桩自由膨胀的位移一样。5.能量桩群桩在制冷期间,群桩的下沉量级要比单桩的大。6.在制冷过程中,能量桩群桩在群桩效应作用下,内部桩的桩底热位移较大。7.能量桩群桩在部分加热的情况下,会出现不均匀沉降,且在加热期间,沉降主要受到不工作桩的牵制影响;而在制冷期间,沉降主要受工作桩的下沉影响。8.摩擦型能量桩的热引起的桩身轴力是与桩侧的土压力大小相关的;由于群桩在群桩效应作用下,桩侧土压力要小于单桩,因此群桩的热引起的桩身轴力要大于单桩。

关键词：能量桩纯摩擦型桩群桩不均匀加热不均匀沉降

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基于CDIO理念的中外合作办学《能源地下结构》课程实践教学探索

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水利与建筑工程学报 2021年第4期19卷 223-227页

作者：杨庆孔纲强王忠涛于龙 hossam abuel-naga 大连理工大学海岸和近海工程国家重点实验室辽宁大连116024 河海大学岩土力学与堤坝工程教育部重点实验室江苏南京210024 澳大利亚拉筹伯大学土木工程澳大利亚维多利亚州3086

中外合作办学是我国加入WTO开放教育市场的承诺、也是我国高等教育的重要组成部分,随着"一带一路"建设的持续推进,中外合作办学培养复合型国际化人才也逐渐成为其重要职能。结合中外合作办学《能源地下结构》课程教学实际情况,将兴趣(In... 详细信息

中外合作办学是我国加入WTO开放教育市场的承诺、也是我国高等教育的重要组成部分,随着"一带一路"建设的持续推进,中外合作办学培养复合型国际化人才也逐渐成为其重要职能。结合中外合作办学《能源地下结构》课程教学实际情况,将兴趣(Interest)、创新(Innovation)、责任(Responsibility)和德育(Moral)等因素引入CDIO工程教育模式中,形成基于IIRM-CDIO的教学改革方案;开展教学目标、内容、方法与评价等环节的构思(C)、设计(D)、实施(I)和运行(O)优化,并挖掘新时代思政元素,有效融入能源地下结构专业课程教学实践中。实现以人为本的立德树人目标,为中外合作办学的课程教学改革、新工科和"一流学科"内涵建设和卓越工程师培养提供参考和支撑。

关键词： CDIO理念中外合作办学一带一路能源地下结构

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Privacy-preserved learning from non-i.i.d data in fog-assisted IoT:A federated learning approach

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Digital Communications and Networks 2024年第2期10卷 404-415页

作者： Mohamed Abdel-Basset hossam Hawash Nour Moustafa Imran Razzak Mohamed Abd Elfattah Faculty of Computers and Informatics Zagazig UniversityZagazigSharqiyah44519Egypt School of Engineering and Information Technology University of New South Wales@ADFACanberraACT2600Australia Deakin University Geelong Waurn Ponds CampusAustralia Computer Science Department Misr Higher Institute for Commerce and ComputersMansoura35511Egypt

With the prevalence of the Internet of Things(IoT)systems,smart cities comprise complex networks,including sensors,actuators,appliances,and cyber *** complexity and heterogeneity of smart cities have become vulnerable to sophisticated cyber-attacks,especially privacy-related attacks such as inference and data poisoning *** Learning(FL)has been regarded as a hopeful method to enable distributed learning with privacypreserved intelligence in IoT *** though the significance of developing privacy-preserving FL has drawn as a great research interest,the current research only concentrates on FL with independent identically distributed(i.i.d)data and few studies have addressed the non-i.i.d *** is known to be vulnerable to Generative Adversarial Network(GAN)attacks,where an adversary can presume to act as a contributor participating in the training process to acquire the private data of other *** paper proposes an innovative Privacy Protection-based Federated Deep Learning(PP-FDL)framework,which accomplishes data protection against privacy-related GAN attacks,along with high classification rates from non-i.i.d ***-FDL is designed to enable fog nodes to cooperate to train the FDL model in a way that ensures contributors have no access to the data of each other,where class probabilities are protected utilizing a private identifier generated for each *** PP-FDL framework is evaluated for image classification using simple convolutional networks which are trained using MNIST and CIFAR-10 *** empirical results have revealed that PF-DFL can achieve data protection and the framework outperforms the other three state-of-the-art models with 3%–8%as accuracy improvements.

关键词： Privacy preservation Federated learning Deep learning Fog computing Smart cities

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Erosion control of Chinese loess using polymer SH and ryegrass

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Journal of Mountain Science 2024年第6期21卷 2043-2058页

作者： YING Chunye LI Lanxing MAKEEN Gehad Mohamed hossam LIU Yabin School of Geological Engineering Qinghai UniversityXining 810016China Key Laboratory of Genozoic Resource&Environment in North Margin of the Tibetan Plateau Xining 810016China Faculty of Engineering China University of GeosciencesWuhan 430074China Faculty of Science Ain Shams UniversityCairo 11566Egypt

The China Loess Plateau is subjected to severe soil erosion triggered by intense rainfall,resulting in significant harm and losses to both human society and the natural *** this study,a novel technique for managing loess erosion is introduced,which involves the utilization of a combined polymer SH and ryegrass.A comprehensive series of tests were undertaken,including rainfall erosion tests,disintegration experiments,and scanning electron microscopy examinations,to assess the accumulative sediment yield(ASY),disintegration ratio,and microstructural features of both untreated and treated loess *** results showed a significant reduction in ASY with increased dry density of untreated ***,the combined technique effectively controlled erosion,limiting ASY to 266.2 g/cm^(2)in 60 *** was approximately one-sixth,one-ninth,and one-fifteenth of the ASY in SH-treated loess(L-SH),ryegrass-treated loess(L-R),and untreated loess,*** resisted disintegration better than ryegrass alone but slightly less than *** improvement was due to the combined effect of SH and ryegrass,which reduced raindrop impact,improved loess microstructure,and boosted ryegrass *** innovative technique holds the potential to be applied as a field-scale technique in the Loess Plateau region of China.

关键词： Loess Plateau Loess erosion Ryegrass Polymer SH Erosion control Microstructure

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Hepatic recompensation according to Baveno VII criteria via transjugular intrahepatic portosystemic shunt

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World Journal of Gastroenterology 2024年第12期30卷 1777-1779页

作者： hossam Eldin Shaaban Abeer Abdellatef Hussein Hassan Okasha Department of Internal Medicine and Gastroenterology NHTMRICairo 11796Egypt Department of Internal Medicine Division of Gastroenterology and HepatologyKasr Al-Aini School of MedicineCairo UniversityCairo 11562Egypt

Transjugular intrahepatic portosystemic shunt is a therapeutic modality done through interventional *** is aimed to decrease portal pressure in special situations for patients with decompensated liver disease with portal *** represents a potential addition to the therapeutic modalities that could achieve hepatic recompensation in those patients based on Baveno VII criteria.

关键词： Decompensated liver cirrhosis Hepatic recompensation Baveno VII Portal hypertension

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Explainable Conformer Network for Detection of COVID-19 Pneumonia from Chest CT Scan: From Concepts toward Clinical Explainability

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Computers, Materials & Continua 2024年第1期78卷 1171-1187页

作者： Mohamed Abdel-Basset hossam Hawash Mohamed Abouhawwash S.S.Askar Alshaimaa A.Tantawy Faculty of Computers and Informatics Zagazig UniversityZagazig44519Egypt Department of Computational Mathematics Scienceand Engineering(CMSE)Michigan State UniversityEast LansingMI48824USA Department of Mathematics Faculty of ScienceMansoura UniversityMansoura35516Egypt Department of Statistics and Operations Research College of ScienceKing Saud UniversityP.O.Box 2455Riyadh11451Saudi Arabia

The early implementation of treatment therapies necessitates the swift and precise identification of COVID-19 pneumonia by the analysis of chest CT *** study aims to investigate the indispensable need for precise and interpretable diagnostic tools for improving clinical decision-making for COVID-19 *** paper proposes a novel deep learning approach,called Conformer Network,for explainable discrimination of viral pneumonia depending on the lung Region of Infections(ROI)within a single modality radiographic CT ***,an efficient U-shaped transformer network is integrated for lung image ***,a robust transfer learning technique is introduced to design a robust feature extractor based on pre-trained lightweight Big Transfer(BiT-L)and finetuned on medical data to effectively learn the patterns of infection in the input ***,this work presents a visual explanation method to guarantee clinical explainability for decisions made by Conformer *** evaluation of real-world CT data demonstrated that the diagnostic accuracy of ourmodel outperforms cutting-edge studies with statistical *** Conformer Network achieves 97.40% of detection accuracy under cross-validation *** model not only achieves high sensitivity and specificity but also affords visualizations of salient features contributing to each classification decision,enhancing the overall transparency and trustworthiness of our *** findings provide obvious implications for the ability of our model to empower clinical staff by generating transparent intuitions about the features driving diagnostic decisions.

关键词： Deep learning COVID-19 multi-modal medical image fusion diagnostic image fusion

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A Comprehensive Review on Charging Topologies and Power Electronic Converter Solutions for Electric Vehicles

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Journal of Modern Power Systems and Clean Energy 2024年第3期12卷 675-694页

作者： Abdelfatah Ali hossam H.H.Mousa Mostafa F.Shaaban Maher A.Azzouz Ahmed S.A.Awad the Department of Electrical Engineering American University of Sharjah26666 SharjahUnited Arab Emirates the Department of Electrical Engineering South Valley University83523 QenaEgypt the Department of Electrical and Computer Engineering University of WindsorWindsorON N9B 3P4 Canada Electrical Engineering Department Qatar UniversityDoha 2713Qatar Department of Electrical and Computer Engineering Sultan Qaboos UniversityMuscat123Oman

Electric vehicles(EVs)are becoming more popular worldwide due to environmental concerns,fuel security,and price *** performance of EVs relies on the energy stored in their batteries,which can be charged using either AC(slow)or DC(fast)***,EVs can also be used as mobile power storage devices using vehicle-to-grid(V2G)*** electronic converters(PECs)have a constructive role in EV applications,both in charging EVs and in ***,this paper comprehensively investigates the state of the art of EV charging topologies and PEC solutions for EV *** examines PECs from the point of view of their classifications,configurations,control approaches,and future research prospects and their impacts on power *** can be classified into various topologies:DC-DC converters,AC-DC converters,DC-AC converters,and AC-AC *** address the limitations of traditional DC-DC converters such as switching losses,size,and high-electromagnetic interference(EMI),resonant converters and multiport converters are being used in high-voltage EV ***,power-train converters have been modified for high-efficiency and reliability in EV *** paper offers an overview of charging topologies,PECs,challenges with solutions,and future trends in the field of the EV charging station applications.

关键词： Charging station charging topology electric vehicle power electronic converter vehicle-to-grid

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Genetic Variability and Phenotypic Correlations Study among Grain Quality Traits and Mineral Elements Concentrations in Colored and Non-Colored Rice (Oryza sativa L.)

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Phyton-International Journal of Experimental Botany 2024年第7期93卷 1733-1748页

作者： Adel A.Rezk Mohamed M.El-Malky Heba I.Mohamed hossam S.El-Beltagi Agricultural Biotechnology Department College of Agricultural and Food ScienceKing Faisal UniversityAl-Ahsa31982Saudi Arabia Plant Pathology Research Institute Agriculture Research CenterGiza12619Egypt Rice Research and Training Center Field Crop Research InstituteAgriculture Research Center33717Egypt Biological and Geological Sciences Department Faculty of EducationAin Shams UniversityCairo11511Egypt Biochemistry Department Faculty of AgricultureCairo UniversityGiza12613Egypt

Twenty-four rice genotypes were examined to assess genetic variability,heritability,and correlations for seven-grain quality traits,eight nutritional elements,and *** revealed signiﬁcant differences for the quality traits *** every trait under study,the phenotypic coefﬁcient of variation was higher than the correspon-dence genotypic coefﬁcient of *** in a broad sense varied from 29.75%for grain length to 98.31%for the elongation *** percentage recovery had a highly signiﬁcant positive correlation with milling and head rice ***,milling percentage had a highly positive correlation with head rice *** amylose percentage,all the genotypes belonged to low amylose except the Hassawi-1 variety,which had intermediate amylose *** nutrition contents of magnesium(Mg),sodium(Na),potas-sium(K),calcium(Ca),copper(Cu),manganese(Mn),zinc(Zn),iron(Fe),or protein percentage gave different variations for 24 rice genotypes under all the nutritional *** the 24 genotypes,ten rice genotypes–HighNutrient-1,HighNutrient-2,HighNutrient-9,HighNutrient-8,HighNutrient-3,Hassawi-2,HighNutrient-7,HighNutrient-6,Hassawi-1,and HighNutrient-4–had the highest heist value for all nutritional and protein con-tents,and could be used as a donor to improving new *** was a positive and signiﬁcant correlation between magnesium Mg,K,Zn and ***,K had a positive correlation with zinc Zn,Fe,and protein *** analysis was divided into two groups:theﬁrst group included all genotypes rich in nutri-ents,while the remaining genotypes with low nutritional content were included in the second group.

关键词： Amylose cluster analysis genotypes grain quality mineral nutrition rice

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Linear endoscopic ultrasound:Current uses and future perspectives in mediastinal examination

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World Journal of Gastroenterology 2024年第33期30卷 3803-3809页

作者： Eyad Gadour Sarah Al Ghamdi Bogdan Miutescu hossam E Shaaban Zeinab Hassan Aymen Almuhaidb Hussein H Okasha Department of Gastroenterology and Hepatology King Abdulaziz National Guard HospitalAhsa 36428Saudi Arabia Department of Internal Medicine Zamzam University CollegeSchool of MedicineKhartoum 11113Sudan Department of Medicine Division of GastroenterologyKing Abdulaziz UniversityJeddah 3646Saudi Arabia Department of Gastroenterology and Hepatology Victor Babes University of Medicine and PharmacyTimisoara 300041Romania Advanced Regional Research Center in Gastroenterology and Hepatology Victor Babes University of Medicine and PharmacyTimisoara 300041Romania Department of Internal Medicine and Gastroenterology NhtmriCairo 11796Egypt Department of Internal Medicine Stockport Hospitals NHS Foundation TrustManchester SK27JEUnited Kingdom Department of Gastroenterology King Faisal Specialist Hospital and Research CenterRiyadh 11211Saudi Arabia Department of Internal Medicine Division of Gastroenterology and HepatologyKasr Al-Aini School of MedicineCairo UniversityCairo 11562Egypt

This editorial elaborates on the current and future applications of linear endoscopic ultrasound(EUS),a substantial diagnostic and therapeutic modality for various anatomical *** scope of endosonographic assessment is broad and,among other factors,allows for the evaluation of the mediastinal anatomy and related pathologies,such as mediastinal lymphadenopathy and the staging of central malignant lung ***,EUS assessment has proven more accurate in detecting small lesions missed by standard imaging examinations,such as computed tomography or magnetic resonance *** focus on its current uses in the mediastinum,including lung and esophageal cancer staging,as well as evaluating mediastinal lymphadenopathy and submucosal *** editorial also explores future perspectives of EUS in mediastinal examination,including ultrasound-guided therapies,artificial intelligence integration,advancements in mediastinal modalities,and improved diagnostic approaches for various mediastinal lesions.

关键词： Linear endoscopic ultrasound Mediastinal examination Lung cancer Computed tomography Magnetic resonance imaging

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