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Frontiers of Structural and Civil Engineering 2024年第7期18卷 1050-1065页

作者： Ahmed M.ATTA Reda N.BEHiRY mohammed i.haraz Structural Engineering Department Faculty of EngineeringTanta UniversityTanta 33511Egypt Nile Higher institute for Engineering and Technology Mansoura 11001Egypt

Recently,inverted T-beams have been used in reinforced concrete(RC)bridges to support transverse precast *** T-beams,contrary to practice with conventional beams,are loaded on the flanges upper *** loading configuration causes hanger failure due to the generation of vertical tensile stresses near the bottom of the *** key purpose of this study is to investigate the efficiency of vertical external prestressing stainless-steel bars in mitigating non-ductile hanger failure in reinforced concrete inverted *** experimental study on six inverted-T beams,including two un-strengthened specimens,was carried *** study showed that the value of the prestressing level had a considerable impact on the performance of hanger mechanism in relation to crack pattern,ultimate loads,cracking behavior,load-deflection,strains,and *** experimental results indicated that the suggested method for strengthening inverted T-beams had efficacy in reducing the seriousness of the non-ductile hanger failure and resulted in a strength increase of up to 53% when compared to that of the un-strengthened ***,two analytical models for estimating the hanger capacity and the average crack width of the strengthened RC inverted T-beams were *** models that were proposed exhibited a high degree of agreement with the experimental results.

关键词： RC bridges inverted T-beams strengthening hanger failure external prestressing

Decoding molecular mechanisms:brain aging and Alzheimer's disease

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Neural Regeneration Research 2025年第8期20卷 2279-2299页

作者： Mahnoor Hayat Rafay Ali Syed Hammad Qaiser Mohammad Uzair Khalid Al-Regaiey Roaa Khallaf Lubna Abdullah mohammed Albassam imdad Kaleem Xueyi Wang Ran Wang Mehwish SBhatti Shahid Bashir Atta-ur-Rahman School of Applied Biosciences(ASAB) National University of Sciences and Technology(NUST)IslamabadPakistan Department of Biotechnology Quaid-i-Azam UniversityIslamabadPakistan Department of Biological Sciences Faculty of Basic&Applied SciencesInternational Islamic University Islamabad(IIUI)IslamabadPakistan Department of Bioengineering King Fahd University of Petroleum and MineralsDhahranSaudi Arabia Department of Physiology College of MedicineKing Saud UniversityRiyadhSaudi Arabia Department of Neurology Neuroscience CenterKing Fahad Specialist HospitalDammamSaudi Arabia Department of Mental Health Neuroscience CenterKing Fahad Specialist HospitalDammamSaudi Arabia Department of Biosciences Commission on Science and Technology for Sustainable Development in the South(COMSATS University)IslamabadPakistan Department of Psychiatry The First Hospital of Hebei Medical UniversityShijiazhuangHebei ProvinceChina Mental Health institute of Hebei Medical University ShijiazhuangHebei ProvinceChina Department of Neurobiology and Behavior University of CaliforniaIrvineCAUSA Neuroscience Center King Fahad Specialist Hospital DammamDammamSaudi Arabia

The complex morphological,anatomical,physiological,and chemical mechanisms within the aging brain have been the hot topic of research for *** aging process alters the brain structure that affects functions and cognitions,but the worsening of such processes contributes to the pathogenesis of neurodegenerative disorders,such as Alzheimer's *** these observable,mild morphological shifts,significant functional modifications in neurotransmission and neuronal activity critically influence the aging *** these changes is important for maintaining cognitive health,especially given the increasing prevalence of age-related conditions that affect *** review aims to explore the age-induced changes in brain plasticity and molecular processes,differentiating normal aging from the pathogenesis of Alzheimer's disease,thereby providing insights into predicting the risk of dementia,particularly Alzheimer's disease.

关键词： Alzheimer’s disease brain aging cognitive health dementia molecular mechanisms neuronal activity neuroplasticity neurotransmission

Hybrid flexural components： Testing pre-stressed steel and GiFRP bars together as reinforcement for flexural members

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Frontiers of Structural and Civil Engineering 2018年第3期12卷 352-360页

作者： mohammed FARUQi Oved i. MATA Francisco AGUiNiGA Department of Civil and Architectural Engineering Texas A&M University Kingsville TX 77843 USA

Concrete members historically have used either pre-stressed steel or steel bars. in recent years there has been an increased interest in the use of fiber reinforced polymer （FRP） materials. However, the flexure behavior of a hybrid system reinforced by the combination of pre-stressed steel and glass fiber reinforced （GFRP） is still relatively unknown. The purpose of this work is to study this. Two slabs of 100 and 150-millimeter thickness, with a span of 2.1 m reinforced with both pre-stressing steel and GFRP were constructed and tested to failure using ACi 318-11 and ACi 440.1 R-15. The concrete had strength of 31 MPa and the slabs were respectively reinforced with 5#4 bars and 3#5 bars. Each slab had 37.41 mm2 prestressing wire with a failure stress of 1722.5 MPa. The experimental flexural strength and deflection of slabs were compared with their respective sizes theoretical slabs. The theoretical slabs were either reinforced with pre-stressed steel or GFRP rebars, or a hybrid system. it was found that the hybrid system produces better results.

关键词： Partial pre-stressing composite structures GFRP bars

How to repair the Hill cipher

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Journal of Zhejiang University-Science A(Applied Physics & Engineering) 2006年第12期7卷 2022-2030页

作者： iSMAiL i.A. AMiN mohammed DiAB Hossam Faculty of Computers and information Zagazig University Zagazig 44511 Egypt Computer Science Department Faculty of Science Menoufiya University Shebeen El-kom 32511 Egypt

The Hill cipher algorithm is one of the symmetric key algorithms that have several advantages in data encryption. However, a main drawback of this algorithm is that it encrypts identical plaintext blocks to identical ciphertext blocks and cannot encrypt images that contain large areas of a single color. Thus, it does not hide all features of the image which reveals patterns in the plaintext. Moreover, it can be easily broken with a known plaintext attack revealing weak security. This paper presents a variant of the Hill cipher that overcomes these disadvantages. The proposed technique adjusts the encryption key to form a dif- ferent key for each block encryption. Visually and computationally, experimental results demonstrate that the proposed variant yields higher security and significantly superior encryption quality compared to the original one.

关键词： Hill cipher image encryption Modified Hill cipher Quality of encryption

improved Dwarf Mongoose Optimization Algorithm for Feature Selection:Application in Software Fault Prediction Datasets

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Journal of Bionic Engineering 2024年第4期21卷 2000-2033页

作者： Abdelaziz i.Hammouri mohammed A.Awadallah Malik Sh.Braik mohammed Azmi Al-Betar Majdi Beseiso Department of Computer Science Al-Balqa Applied UniversityAl-Salt19117Jordan Department of Scientific Research and Graduate Studies University of Prince Mugrin42241MedinaSaudi Arabia Department of Computer Science Al-Aqsa UniversityGaza4051Palestine Artificial intelligence Research Center(AiRC) Ajman UniversityAjmanUnited Arab Emirates Department of information Technology Al-Huson University CollegeAl-Balqa Applied UniversityAl-HusonIrbid21110Jordan

Feature selection(FS)plays a crucial role in pre-processing machine learning datasets,as it eliminates redundant features to improve classification accuracy and reduce computational *** paper presents an enhanced approach to FS for software fault prediction,specifically by enhancing the binary dwarf mongoose optimization(BDMO)algorithm with a crossover mechanism and a modified positioning updating *** proposed approach,termed iBDMOcr,aims to fortify exploration capability,promote population diversity,and lastly improve the wrapper-based FS process for software fault prediction *** gained superb performance compared to other well-esteemed optimization methods across 17 benchmark *** ranked first in 11 out of 17 datasets in terms of average classification ***,iBDMOcr outperformed other methods in terms of average fitness values and number of selected features across all *** findings demonstrate the effectiveness of iBDMOcr in addressing FS problems in software fault prediction,leading to more accurate and efficient models.

关键词： Dwarf mongoose optimization algorithm Optimization Feature selection Classification

Critical review of recent development in fiber reinforced adobe bricks for sustainable construction

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Frontiers of Structural and Civil Engineering 2020年第4期14卷 839-854页

作者： Mahgoub MSALiH Adelaja iOSOFERO mohammed SiMBABi School of Engineering University of AberdeenAberdeen AB243FXUK

This paper presents a state-of-the-art review of research on the utilization of fibers(predominantly derived from waste materials)as reinforcement in adobe brick *** of these wastes provides sustainable construction materials and helps to protect the *** preparation and test procedures are *** effects of addition of these wastes on the physical and mechanical properties of adobe bricks as presented in the literature,are *** main results for each additive are presented and *** is concluded that improved adobe brick properties can be expected with the addition of combination of waste *** use of waste materials in the construction industry is generally of interest and useful for engineers and designers seeking sustainable solutions in *** is also of interest to researchers actively seeking to develop methodical approaches to quantifying,optimising and testing the performance in use of such waste material additives.

关键词： adobe bricks fibre reinforced bricks green sustainable building material physical and mechanical properties

Characteristic time scale as optimal input in Machine Learning algorithms:Homogeneous autoignition

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Energy and Ai 2023年第4期14卷 238-252页

作者： mohammed i.Radaideh Stelios Rigopoulos Dimitris A.Goussis Department of Mechanical Engineering Khalifa University of Science and TechnologyAbu Dhabi 127788United Arab Emirates imperial College London Mechanical Engineering South Kensington Campus London SW72AZUnited Kingdom Research and innovation Center on CO_(2)and H_(2) Khalifa University of Science and TechnologyAbu Dhabip127788United Arab Emirates

Considering temporally evolving processes,the search for optimal input selection in Machine Learning(ML)algorithms is extended here beyond(i)the readily available independent variables defining the process and(ii)the dependent variables suggested by feature extraction methods,by considering the time scale that characterizes the *** analysis is based on the process of homogeneous autoignition,which is fully determined by the initial temperature T(0)and pressure p(0)of the mixture and the equivalence ratio𝜙that specifies the initial mixture *** aim is to seek the optimal input for the prediction of the time at which the mixture *** Multilayer Perceptron(MLP)and Principal Component Analysis(PCA)algorithms are employed for prediction and feature extraction,*** is demonstrated that the time scale that characterizes the initiation of the process𝜐𝑓(0),provides much better accuracy as input to MLP than any pair of the three independent parameters T(0),p(0)and𝜙or their two principal ***,it is shown that using𝜐𝑓(0)as input results in a coefficient of determination R 2 in the range of 0.953 to 0.982,while the maximum value of R 2 when using the independent parameters or principal components is *** physical grounds,on which the success of𝜐𝑓(0)is based,are *** results suggest the need for further research in order to develop selection methodologies of optimal inputs among those that characterize the process.

关键词： Machine Learning Feature selection Autoignition

Experimental study on hybridization of a PV–TEG system for electrical performance enhancement using heat exchangers,energy,exergy and economic levelized cost of energy(LCOE)analysis

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Clean Energy 2023年第4期7卷 808-823页

作者： mohammed A.Qasim Vladimir i.Velkin Sergey E.Shcheklein Nuclear Power Plants and Renewable Energy Sources Department Ural Federal University620002 YekaterinburgRussia Department of Projects and Engineering Services Ministry of HealthBaghdad 10047Iraq

The concept of employing thermoelectric generators(TEGs)to recover energy from waste heat has gained popularity,with applications that range from milliwatt to kilowatt levels of output *** this study,a hybrid photovoltaic panel and thermoelectric generator(HPVTEG)system consisting of an integrated heat exchanger,a commercial polycrystalline silicon photovoltaic(PV)panel and a commercial bismuth telluride TEG was ***,TE components can be used to cool PV modules,increasing their output power via the Seebeck *** main finding is that the hybrid system has a reduced average temperature of 16.01°*** average power of the stand-alone PV panel is 28.06 W,but that of the HPVTEG system is 32.76 W,which is an increase of 4.7 *** conversion efficiency and power of the hybrid system increased by 16.7%and 16.4%,respectively,compared with a stand-alone PV *** HPVTEG system achieved an average exergy efficiency of 12.79%compared with 10.98%for a stand-alone PV *** to the calculation results,the levelized cost of energy(LCOE)of the stand-alone PV panel can range from 0.06741 to 0.10251 US$/kWh depending on how many days it is in operation,while the LCOE of the HPVTEG system can range from 0.06681 to 0.10160 US$/kWh.

关键词： PV TEG waste heat hybrid system heat exchanger

Artificial lift system optimization using machine learning applications

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Petroleum 2022年第2期8卷 219-226页

作者： Fahad i.Syed mohammed Alshamsi Amirmasoud K.Dahaghi S.Neghabhan University of Kansas&ADNOC Offshore Dept.of Chemical and Petroleum E…Lawrence66045USA

Currently,in the oil industry,artificial lift optimization(ALO)systems are dealing with different applications including well monitor and control,reservoir management,production optimization,predictive maintenance,artificial lift,and flow assurance,multiphase pumping systems,*** scope of this article is to provide a detailed analysis of ALO and predictive pump maintenance applications using machine learning(ML)and artificial intelligence(Ai).The oil and gas industry has experienced a lot of improvements that have impacted the businesses and economies associated with the market in recent *** such as unplanned shutdown time and failure of equipment cause a huge impact on many corporations especially with the current fluctuations in hydrocarbon ***,advanced modern technologies such as real-time analysis and predictive maintenance are designed to drive ALO *** paper covers several applications and techniques in which ML and Ai have been applied to optimize hydrocarbon withdrawal from potentially depleted reservoirs that require some external supports to uplift the reservoir fluid from sub surface to surface using artificial lift *** a nutshell,the applications of Ai and ML for the artificial lift selection,their predictive maintenance,equipment malfunctioning detection,*** a self-trained system are the main topics of this *** reviewing each of these techniques,the workflow is also explained along with the effectiveness of utilizing each application to the current operations.

关键词： Artificial lift optimization Predictive maintenance

Regional variation of pediatric inflammatory bowel disease in Saudi Arabia: Results from a multicenter study

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World Journal of Gastroenterology 2020年第4期26卷 416-423页

作者： Mohammad i El Mouzan mohammed H AlEdreesi mohammed Y Hasosah Abdulrahman A Al-Hussaini Ahmad A Al Sarkhy Asaad A Assiri Department of Pediatrics Gastroenterology UnitKing Saud UniversityRiyadh11461Saudi Arabia Specialty Pediatrics Division Pediatric GastroenterologyJohns Hopkins Aramco HealthcareDhahran 31311Saudi Arabia Department of Pediatrics Gastroenterology UnitKing Saud bin Abdulaziz University for Health SciencesJeddah 21423Saudi Arabia Children Hospital Gastroenterology DivisionKing Fahad Medical CityRiyadh 11525Saudi Arabia Supervisor of Prince Abdullah Bin Khalid Celiac Disease Research Chair Gastroenterology UnitKing Saud UniversityRiyadh 11461Saudi Arabia

BACKGROUND incidence and severity variations of inflammatory bowel disease(iBD)have been reported from Western populations between continents and regions of the same ***,no data were available from other *** To investigate the regional differences in the iBD profiles of pediatric patients from the Kingdom of Saudi *** Data from a national multicenter iBD study were *** incidence,time trend,and clinical presentation of Crohn’s disease(CD)and ulcerative colitis(UC)in the Central region(CR),Western region(WR),and Eastern region(ER)were analyzed and *** analysis included Poisson regression analysis for incidence variation and Chi-square test for demographic and clinical parameters.A Pidered *** The prevalence of positive family history was lower in children with CD from the ER than the CR or the *** rate was higher in children with CD and UC from the CR and the ER,*** incidences and time trends of CD and UC were not significantly different between *** the ER,a significantly higher percentage of children with CD presented with abdominal pain(Pin stools(P=0.048),stricturing or penetrating disease(P=0.029),higher erythrocyte sedimentation rate(Pigher C-reactive protein(Pigher anemia(P=0.017),and lower albumin level(P=0.014).For children with UC from the ER,a significantly higher percentage presented with anemia(P=0.006)and a lower percentage with pancolitis(PiON The most important finding is the identification of significantly more severe presentation of CD in the ER of the Kingdom of Saudi *** studies are needed to explain such variations.

关键词： Crohn’s disease Ulcerative colitis Epidemiology Children Regional variation