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Determination of shear strength of steel fiber RC beams:application of data-intelligence models

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Frontiers of Structural and Civil Engineering 2019年第3期13卷 667-673页

作者： abeer A.AL-MUSAWI Projects and Reconstruction Department University of BaghdadBaghdadIraq

Accurate prediction of shear strength of structural engineering components can yield a magnificent information modeling and predesign *** paper aims to determine the shear strength of steel fiber reinforced concrete beams using the application of data-intelligence models namely hybrid artificial neural network integrated with particle swarm *** the considered data-intelligence models,the input matrix attribute is one of the central element in attaining accurate predictive ***,various input attributes are constructed to model the shear strength"as a targeted variable".The modeling is initiated using historical published researches steel fiber reinforced concrete beams *** variables are used as input attribute combination including reinforcement ratio(ρ%),concrete compressive strength(f′c),fiber factor(F1),volume percentage of fiber(Vf),fiber length to diameter ratio(lf/ld)effective depth(d),and shear span-to-strength ratio(a/d),while the shear strength(SS)is the output of the *** best network structure obtained using the network having ten nodes and one hidden *** final results obtained indicated that the hybrid predictive model of ANN-PSO can be used efficiently in the prediction of the shear strength of fiber reinforced concrete *** more representable details,the hybrid model attained the values of root mean square error and correlation coefficient 0.567 and 0.82,respectively.

关键词： hybrid intelligence model shear strength prediction steel fiber reinforced concrete

Casson hybrid nanofluid flow over a Riga plate for drug deliveryapplications with double diffusion

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Chinese Physics B 2024年第10期33卷 311-320页

作者： abeer S.Alnahdi Taza Gul Department of Mathematics and Statistics Faculty of ScienceImam Mohammad Ibn Saud Islamic University(IMSIU)RiyadhSaudi Arabia Department of Mathematics City University of Science and Information Technology25000PeshawarPakistan DGoST-Directorate General of Science&Technology Khyber PakhtunkhwaPeshawarPakistan

Casson fluid-mediated hybrid nanofluids are more effective at transferring heat than traditional heat transfer fluids in terms of thermal *** exchangers,cooling systems and other thermal management systems are ideal for use with Casson *** control of the flow and release of medication is necessary when using Casson fluids in drug delivery systems because of their unique rheological *** involves the creation of nanoparticles that are loaded with drugs and distributed in Casson fluid-based carriers for targeted *** this study,to create a hybrid nanofluid,both single-walled carbon nanotubes(SWCNTs)and multi-walled carbon nanotubes(MWCNTs)are dispersed in a Casson fluid with Fourier’s and Fick’s laws *** Casson fluid is suitable for various engineering and medical applications due to the enhancement of heat transfer and thermal conductivity by the carbon *** objective is to understand how SWCNTs and MWCNTs impact the flow field by studying the flow behavior of the Casson hybrid nanofluid when it is stretched against a Riga *** Darcy-Forchheimer model is also used to account for the impact of the porous medium near the stretching *** linear and quadratic drag terms are taken into account in this model to accurately predict the flow behavior of the *** addition,the homotopy analysis method is utilized to address the model *** outcomes are discussed and deliberated based on drug delivery *** findings shed valuable light on the flow characteristics of a Casson hybrid nanofluid comprising SWCNTs and *** is observed that the incorporation of carbon nanotubes makes the nanofluid a promising candidate for medical applications due to its improved heat transfer properties.

关键词： carbon nanotubes(CNTs) Riga plate Casson fluid with Fourier’s and Fick’s laws analytical solutions

Bayesian Deep Learning Enabled Sentiment Analysis on Web Intelligence Applications

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Computers, Materials & Continua 2023年第5期75卷 3399-3412页

作者： abeer D.Algarni Department of Information Technology College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadh11671Saudi Arabia

In recent times,web intelligence(WI)has become a hot research topic,which utilizes Artificial Intelligence(AI)and advanced information technologies on theWeb and *** users post reviews on social media and are employed for sentiment analysis(SA),which acts as feedback to business people and *** SA on the reviews helps to enhance the quality of the services and products,however,web intelligence techniques are needed to raise the company profit and user *** this motivation,this article introduces a new modified pigeon inspired optimization based feature selection(MPIO-FS)with Bayesian deep learning(BDL),named MPIOBDL model for SA on WI *** presented MPIO-BDL model initially involved preprocessing and feature extraction take place using Term Frequency—Inverse Document Frequency(TF-IDF)technique to derive a useful set of information from the user ***,the MPIO-FS model is applied for the selection of optimal feature subsets,which helps to enhance classification accuracy and reduce computation ***,the BDL model is employed to allocate the proper class labels of the applied user review data.A comprehensive experimental results analysis highlighted the improved classification efficiency of the presented model.

关键词： Social media data classification Bayesian deep learning artificial intelligence web intelligence feature selection

Enhancing Blockchain Security Using Ripple Consensus Algorithm

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Computers, Materials & Continua 2022年第12期73卷 4713-4726页

作者： A.Baseera abeer Abdullah Alsadhan School of Computing Science and Engineering VIT Bhopal UniversityBhopal466114India Department of Computer Science Imam Abdulrahman Bin Faisal UniversityDammam34212Saudi Arabia

In the development of technology in various fields like big data analysis,data mining,big data,cloud computing,and blockchain technology,security become more *** is used in providing security by encrypting the sharing of *** is applied in the peerto-peer(P2P)network and it has a decentralized *** security against unauthorized breaches in the distributed network is *** detect unauthorized breaches,there are numerous techniques were developed and those techniques are inefficient and have poor data ***,a novel technique needs to be implemented to tackle the new breaches in the distributed *** paper,proposed a hybrid technique of two fish with a ripple consensus algorithm(TF-RC).To improve the detection time and security,this paper uses efficient transmission of data in the distributed *** experimental analysis of TF-RC by using the metric measures of performance in terms of latency,throughput,energy efficiency and it produced better performance.

关键词： Blockchain security ripple breaches twofish network

Agmatine induces gastric protection against ischemic injury by reducing vascular permeability in rats

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World Journal of Gastroenterology 2012年第18期18卷 2188-2196页

作者： abeer A Al Masri Eman El Eter Department of Physiology College of Medicine and King Khalid University HospitalKing Saud UniversityRiyadh 11461Saudi Arabia

AIM:To investigate the effect of administration of agmatine(AGM) on gastric protection against ischemia reperfusion(I/R) ***:Three groups of rats(6/group);sham,gastric I/R injury,and gastric I/R + AGM(100 mg/kg,*** 15 min prior to gastric ischemia) were *** injury was conducted by ligating celiac artery for 30 min and reperfusion for another 30 *** tissues were histologically studied and immunostained with angiopoietin 1(Ang-1) and *** endothelial growth factor(VEGF) and monocyte chemoattractant protein-1(MCP-1) were measured in gastric tissue *** assess whether AKt/phosphatidyl inositol-3-kinase(PI3K) mediated the effect of AGM,an additional group was pretreated with Wortmannin(WM)(inhibitor of Akt/PI3K,15 μg/kg,i.p.),prior to ischemic injury and AGM treatment,and examined histologically and *** set of experiments was run to study vascular permeability of the stomach using Evan's blue ***:AGM markedly reduced Evan's blue dye extravasation(3.58 ± 0.975 μg/stomach vs 1.175 ± 0.374 μg/stomach,P < 0.05),VEGF(36.87 ± 2.71 pg/100 mg protein vs 48.4 ± 6.53 pg/100 mg protein,P < 0.05) and MCP-1 tissue level(29.5 ± 7 pg/100 mg protein vs 41.17 ± 10.4 pg/100 mg protein,P < 0.01).It preserved gastric histology and reduced ***-1 and Ang-2 immunostaining were reduced in stomach sections of AGM-treated *** administration of WM abolished the protective effects of AGM and extensive hemorrhage and ulcerations were ***:AGM protects the stomach against I/R injury by reducing vascular permeability and *** protection is possibly mediated by Akt/PI3K.

关键词： Ischemia reperfusion injury Agmatine Wortmannin Vascular permeability Monocyte chemoattractant protein-1 Stomach Vascular endothelial growth factor

Metabolic aspects of hepatitis C virus

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World Journal of Gastroenterology 2022年第22期28卷 2429-2436页

作者： Mohamed El-Kassas abeer Awad Department of Endemic Medicine Faculty of MedicineHelwan UniversityCairo 11795Egypt Department of Internal Medicine Faculty of MedicineCairo UniversityCairo 11566Egypt

Many metabolic factors are associated with chronic hepatitis C virus(HCV)infection and can influence the course of the illness and impact the progression of liver and non-liver-related diseases through complex *** of these factors impact the course of chronic HCV(CHC)and result in the conceptual translation of CHC from a localized to systemic *** the traditional liver manifestations associated with CHC infection,such as cirrhosis and hepatocellular carcinoma,various extrahepatic disorders are associated with HCV infection,including atherosclerosis,glucose and lipid metabolic disturbances,alterations in the iron metabolic pathways,and lymphoproliferative *** coexistence of metabolic disorders and CHC is known to influence the chronicity and virulence of HCV and accelerates the progression to liver fibrosis and hepatocellular *** resistance is one of the key factors that have a tremendous metabolic impact on ***,there is a great need to properly evaluate patients with CHC infection and correct the modifiable metabolic risk ***,patients with HCV who achieved a sustained virological response showed an overall improvement in glucose metabolism,but the exact evidence still requires further studies with long-term *** review delineates the most recent evidence on the main metabolic factors associated with CHC and the possible influence of chronic HCV infection on metabolic features.

关键词： Hepatitis C virus Metabolic factors Steatosis Insulin resistance

An Intelligent Tree Extractive Text Summarization Deep Learning

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Computers, Materials & Continua 2022年第11期73卷 4231-4244页

作者： abeer Abdulaziz AlArfaj Hanan Ahmed Hosni Mahmoud Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia

In recent research,deep learning algorithms have presented effective representation learning models for natural *** deep learningbased models create better data representation than classical *** are capable of automated extraction of distributed representation of *** this research,we introduce a new tree Extractive text summarization that is characterized by fitting the text structure representation in knowledge base training module,and also addresses memory issues that were not addresses *** proposed model employs a tree structured mechanism to generate the phrase and text *** proposed architecture mimics the tree configuration of the text-texts and provide better feature *** also incorporates an attention mechanism that offers an additional information source to conduct better summary *** novel model addresses text summarization as a classification process,where the model calculates the probabilities of phrase and text-summary *** model classification is divided into multiple features recognition such as information entropy,significance,redundancy and *** model was assessed on two datasets,on the Multi-Doc Composition Query(MCQ)and Dual Attention Composition dataset(DAC)*** experimental results prove that our proposed model has better summarization precision *** models by a considerable margin.

关键词： Neural network architecture text structure abstractive summarization

A Deep Learning Model for EEG-Based Lie Detection Test Using Spatial and Temporal Aspects

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Computers, Materials & Continua 2022年第12期73卷 5655-5669页

Lie detection test is highly significant task due to its impact on criminology and *** lie detection test model using electroencephalogram(EEG)signals is studied in *** this paper we studied deep learning framework in lie detection test ***,we apply a preprocessing technique to utilize only a small fragment of the EEG image instead of the whole *** model describes a temporal feature map of the EEG signals measured during the lie detection test.A deep learning attention model(V-TAM)extracts the temporal map vector during the learning *** technique reduces computational time and lessens the overfitting in Deep Learning *** propose a Cascading attention model with a deep learning convolutional neural network(CNN).V-TAM model extracts local features and global features in separate paths spatial and ***,to enhance the EEG segmentation precision,a novel Visual-Temporal AttentionModel(V-TAM)is *** accuracy was evaluated using data measured from a sensor from a public dataset of 9512 subjects during fifteen minutes lie detection *** compared our model with three recent published *** proposed model attained the highest performance of(98.5%)with(p<0.01).The visual-temporal model of the proposed platform shows an optimized balance between prediction accuracy and time *** investigationwere performed to prove the correctness and reliability of the proposed method through sizing of the input data,proving its effectiveness in attaining satisfactory performance by using only a smaller size input data.

关键词： Lie detection EEG image deep learning machine learning

Preliminary evaluation of the radiotherapeutic efficacy of 131I-atorvastatin in rats with hepatocellular carcinoma

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Nuclear Science and Techniques 2020年第11期31卷 1-11页

作者： Nourihan S.Farrag abeer M.Amin Labeled Compounds Department Hot Laboratories CentreEgyptian Atomic Energy Authority(EAEA)P.O.Box 13759CairoEgypt

As one of the most critical types of cancer,hepatocellular carcinoma(HCC)affects many people *** study demonstrated the prospective use of atorvastatin,a drug that inhibits the mevalonate pathway,causing hypolipidemia,as a carrier to deliver the iodine-131(131I)isotope to liver tissues for HCC *** atorvastatin radioiodination method was optimized for utilizing the131I *** radiochemical quality and the in vitro stability of the generated[131I]atorvastatin were *** addition,the biodistribution experiments of[131I]atorvastatin were evaluated in both normal and HCC-induced rat models.[131I]atorvastatin was produced at a maximum radiochemical yield of 86.7±0.49%.The[131I]atorvastatin solution purified via high-performance liquid chromatography showed good in vitro stability for 12 h after *** analyses revealed remarkable liver targeting capacity of[131I]atorvastatin and good localization of131I in liver ***,the encouraging biochemical profile and histopathologicalfindings have been reported,and preliminary investigations on the possible use of[131I]atorvastatin as a radiotracer and its impact on HCC radiotherapy in rats show promise.

关键词： Hepatocellular carcinoma [131I]Atorvastatin Biodistribution Radiotherapy