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Falkner-Skan aspects of a radiating(50%ethylene glycol D 50%water)-based hybrid nanofluid when Joule heating as well as Darcy-Forchheimer and Lorentz forces affect significantly

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Propulsion and Power Research 2023年第3期12卷 428-442页

作者： Ghulam Rasool A.Wakif Xinhua Wang Ahmed Alshehri abdulkafi mohammed saeed Institute of Intelligent Machinery Faculty of Materials and ManufacturingBeijing University of TechnologyBeijing 100124China Department of Mechanical Engineering Lebanese American UniversityBeirutLebanon Laboratory of Mechanics Faculty of Sciences Aïn ChockHassan II UniversityCasablancaMorocco Department of Mathematics Faculty of SciencesKing Abdulaziz UniversityJeddah 21589Saudi Arabia Department of Mathematics College of ScienceQassim UniversityBuraydah 51452Saudi Arabia

Falkner-Skan aspects are revealed numerically for a non-homogeneous hybrid mixture of 50%ethylene glycol-50%water,silver nanomaterials Ag,and molybdenum disul-fide nanoparticles MoS2 during its motion over a static wedge surface in a DarcyForchheimer porous medium by employing the modified Buongiorno *** Brownian and thermophoresis mechanisms are included implicitly along with the thermophysical properties of each phase via the mixture theory and some efficient phenomenological *** present simulation also accounts for the impacts of nonlinear radiative heat flux,magnetic forces,and Joule ***,the generalized differential quadrature method and Newton-Raphson technique are applied successfully for solving the resulting nonlinear boundary layer *** a limiting case,the obtained findings are validated accurately with the existing literature *** behaviors of velocity,temperature,and nanoparticles volume fraction are discussed comprehensively against various governing *** crucial results,it is revealed that the temperature is enhanced due to magnetic field,linear porosity,radiative heat flux,Brownian motion,thermophoresis,and Joule heating ***,it is depicted that the hybrid nanoliquids present a higher heat flux rate than the monotype nanoliquids and liquids ***,the surface frictional impact is minimized via the linear porosity ***,the surface heat transfer rate receives a prominent improvement due to the radiative heat flux inclusion.

关键词： Ethylene glycol-water hybrid fluid Hybrid nanofluid Falkner-Skan flow Nonlinear radiation Modified Buongiorno nanofluid model

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Bioconvective Hybrid Flow with Microorganisms Migration and Buongiorno’s Model under Convective Condition

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Frontiers in Heat and Mass Transfer 2024年第2期22卷 433-453页

作者： Azad Hussain Saira Raiz Ali Hassan Mohamed R.Ali abdulkafi mohammed saeed Department of Mathematics University of GujratGujrat50700Pakistan Department of Mechanics and Aerospace Engineering Southern University of science and TechnologyShenzhenChina Faculty of Engineering and Technology Future University in EgyptNew Cairo11835Egypt Department of Mathematics College of ScienceQassim UniversityBuraydah51452Saudi Arabia

Heat transfer improves significantly when the working fluid has high thermal *** transfer can be found in fields such as food processing,solar through collectors,and drug *** this notable fact,this work is focused on investigating the bio-convection-enhanced heat transfer in the existence of convective boundary conditions in the flow of hybrid nanofluid across a stretching *** fluid model with hybrid nanoparticles has been employed along the swimming microorganisms to investigate the mixture base working *** developed nonlinear flow governing equations have been tackled numerically with the help of the *** effects of relevant parameters on the flowdynamic have been portrayed in a graphical *** velocity profile decreases by raising the levels of buoyancy ratio and mixed convection in the range of 0.1<λ≤*** has been discovered thatwhen bioconvection levels rise,motile microbemigration abruptly slows,which results in a decrease in fluid *** concentration of fluid flow declined for the Lewis number,but the opposite trend has been observed for the elastic parameter,thermophoresis parameter,and buoyancy *** rising values of Brownian motion and thermophoretic diffusion,the surface drag and Nusselt number decrease ***,the opposite trend has been observed when the values of the thermal Biot number,Prandtl number and buoyancy ratio are ***,data from this study have been validated by comparison with those that have previously been published,and an appropriate rate of agreement has been observed.

关键词： Prandtl hybrid nanofluid mixed convection stretched sheet bioconvection motile microorganisms

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Study of Double Diffusivity and Heat Conducting Phenomena under the Casson Nanofluid Flowing through a Vertical Peristaltic Tube

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Frontiers in Heat and Mass Transfer 2023年第1期21卷 563-590页

作者： Azad Hussain Naila Farooq Ayesha Saddiqa Ahmad M.Hassan abdulkafi mohammed saeed Department of Mathematics University of GujratGujrat50700Pakistan Faculty of Engineering Future University in EgyptNewCairoEgypt Department of Mathematics College of ScienceQassim UniversityBuraydah51452Saudi Arabia

The current article discusses the peristaltic flow of the Casson fluid model with implications for double diffusivity,radiative flux,variable conductivity and *** study offers a thorough understanding of the functioning and illnesses of embryological organs,renal systems,respiratory tracts,etc.,that may be useful to medical professionals and *** main purpose of the study is to evaluate the consequences of double diffusivity on the peristaltic flow of *** implementing the appropriate transformation,the governed differential equations of momentum,temperature,concentration and double diffusivity are worked out *** lowest Reynolds number Re→0 and highest wavelength�→∞are *** ramifications of pertinent parameters on the velocity field,heat,chemical reaction rate and double diffusivity are discussed by plotting the graphs using the bvp4c *** analysis shows that solutal and thermal Grashof numbers enhance the motion of fluid flow over the pumping area of the peristaltic *** activation energy and Lewis number indicate the opposite impact on concentration *** to variations in thermophoresis and the Brownian parameter,the heating process slows during the pumping section and accelerates during the free pumping *** graph of double diffusivity initially goes upward by escalating Dufour and Brownian parameters and then moves down over the right sinusoidal geometry.

关键词： Casson fluid model nanofluid double diffusivity chemical reaction peristaltic motion

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对流水平板上二次混合的三重扩散纳米流体的流体力学和流体磁学对比分析

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Journal of Central South University 2023年第8期30卷 2616-2626页

作者： KHALID Abdulkhaliq M-alharbi HINA Gul MUHAMMAD Ramzan SEIFEDINE Kadry abdulkafi mohammed-saeed Mechanical Engineering Department College of EngineeringUmm Al-Qura UniversityMakkah 24382Sandi Arabia Department of Computer Science Bahria UniversityIslamabad 44000Pakistan Department of Applied Data Science Noroff University CollegeKristiansandNorway Artificial Intelligence Research Center(AIRC) Ajman UniversityAjman 346United Arab Emirates Department of Electrical and Computer Engineering Lebanese American UniversityByblosLebanon Department of Mathematics College of ScienceQassim UniversityBuraydah 51452Saudi Arabia

当两种不同密度和扩散速率的纳米流体混合时,会发生三重扩散和对流现象。本文主要目的是比较对流水平板上二次混合的三重扩散纳米流体的流体力学和流体磁学。文中建立的模型其他新特征考虑了可变导热系数和非线性热辐射热通量。该问题... 详细信息

当两种不同密度和扩散速率的纳米流体混合时,会发生三重扩散和对流现象。本文主要目的是比较对流水平板上二次混合的三重扩散纳米流体的流体力学和流体磁学。文中建立的模型其他新特征考虑了可变导热系数和非线性热辐射热通量。该问题由一组方程组成,借助MATLAB bvp4c包进行求解。为了使参数与相关剖面的影响可视化,给出了图形说明,并利用图表来评估关键参数变化是如何影响相关场及其相应的物理量。通过对盐1和盐2的Dufour参数的多次估计,可以推断出流体流速的波动。验证了流体动力流相对于流体磁流的优势。此外,还将特定情景下已发表的结果与当前研究结果进行了比较。

关键词：三重扩散纳米流体二次混合对流可变导热系数非线性热辐射

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Arabic Sentiment Analysis of Users’ Opinions of Governmental Mobile Applications

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Computers, Materials & Continua 2022年第9期72卷 4675-4689页

作者： mohammed Hadwan mohammed A.Al-Hagery mohammed Al-Sarem Faisal saeed Department of Information Technology College of ComputerQassim UniversityBuraydah51452Saudi Arabia Department of Computer Science College of Applied SciencesTaiz UniversityTaizYemen Inteligent Analytic Group College of ComputerQassim UniversityBuraydah51452Saudi Arabia Department of Computer Science College of ComputerQassim UniversityBuraydah51452Saudi Arabia College of Computer Science and Engineering Taibah UniversityMedina42353Saudi Arabia Institute for Artificial Intelligence and Big Data Universiti Malaysia KelantanPengkalan ChepaKota Bharu16100KelantanMalaysia

Different types of pandemics that have appeared from time to time have changed many aspects of daily *** governments encourage their citizens to use certain applications to help control the spread of disease and to deliver other services during *** Saudi government has launched several mobile apps to control the pandemic and have made these apps available through Google Play and the app store.A huge number of reviews are written daily by users to express their opinions,which include significant information to improve these *** manual processing and extracting of information from users’reviews is an extremely difficult and time-consuming ***,the use of intelligent methods is necessary to analyse users’reviews and extract issues that can help in improving these *** research aims to support the efforts made by the Saudi government for its citizens and residents by analysing the opinions of people in Saudi Arabia that can be found as reviews on Google Play and the app store using sentiment analysis and machine learning *** the best of our knowledge,this is the first study to explore users’opinions about governmental apps in Saudi *** findings of this analysis will help government officers make the right decisions to improve the quality of the provided services and help application developers improve these applications by fixing potential issues that cannot be identified during application testing phases.A new dataset used for this research includes 8000 user reviews gathered from social media,Google Play and the app *** methods are applied to the dataset,and the results show that the k nearest neighbourhood(KNN)method generates the highest accuracy compared to other implemented methods.

关键词： Arabic sentiment analysis software quality user satisfaction improving online governmental services machine learning intelligent systems mobile app

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Adaptive Control System for Biogas Power Plant Using Model Predictive Control

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Journal of Modern Power Systems and Clean Energy 2021年第5期9卷 1193-1204页

作者： Samaa Fawzy mohammed saeed Abdelfattah Eladl Magdi El-Saadawi Electrical Engineering Department Mansoura UniversityMansouraEgypt

This paper presents an adaptive control system using model predictive control for a biogas-fueled power *** control scheme is derived from an anaerobic digestion model that includes the concentration of biodegradable volatile solid in the reactor,the concentration of volatile solid in influent,the concentration of acidogens,and the concentration of *** these concentrations are the state variables of model predictive *** whole biogas-fueled power system has been modeled,implemented,and tested in MATLAB/Simulink *** validate the performance of the proposed controller,different operation conditions are studied and *** simulation results prove the effectiveness and the applicability of the proposed control system under different operating conditions.

关键词： Anaerobic digestion micro-turbine model predictive control state space biogas

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Hepatocellular carcinoma and immunotherapy:Beyond immune checkpoint inhibitors

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World Journal of Gastrointestinal Oncology 2022年第6期14卷 1210-1212页

作者： Hassan mohammed Abushukair Anwaar saeed Faculty of Medicine Jordan University of Science and TechnologyIrbid 22110Jordan Division of Medical Oncology Department of MedicineThe University of Kansas Cancer CenterKansas CityKS 66205United States

Hepatocellular carcinoma(HCC)is one of the deadliest and most common malignancies of the *** the rich immune background of carcinogenesis in HCC,efforts have been focused on further understanding the role of the immune system in tumor suppression and *** utilization of immunotherapy in HCC has led to encouraging results that has translated to longer survival and better quality of life among *** development of novel HCC-tailored regimens such as vaccine therapy and adoptive cellular therapy coupled with a deeper understanding of biomarkers predictive of the response to immunotherapy will lead to better treatment outcomes.

关键词： Hepatocellular carcinoma Immunotherapy Biomarkers Cancer vaccines Adoptive cellular therapy

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An Ensemble Learning Based Approach for Detecting and Tracking COVID19 Rumors

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Computers, Materials & Continua 2022年第1期70卷 1721-1747页

作者： Sultan Noman Qasem mohammed Al-Sarem Faisal saeed Computer Science Department College of Computer and Information SciencesAl Imam Mohammad Ibn Saud Islamic University(IMSIU)Riyadh11432Saudi Arabia Computer Science Department Faculty of Applied ScienceTaiz UniversityTaiz6803Yemen College of Computer Science and Engineering Taibah UniversityMedinaSaudi Arabia Information System Department Saba’a Region UniversityMareebYemen

Rumors regarding epidemic diseases such as COVID 19,medicines and treatments,diagnostic methods and public emergencies can have harmful impacts on health and political,social and other aspects of people’s lives,especially during emergency situations and health *** huge amounts of content being posted to social media every second during these situations,it becomes very difficult to detect fake news(rumors)that poses threats to the stability and sustainability of the healthcare sector.A rumor is defined as a statement for which truthfulness has not been *** COVID 19,people found difficulty in obtaining the most truthful news easily because of the huge amount of unverified information on social *** methods have been applied for detecting rumors and tracking their sources for COVID 19-related ***,very few studies have been conducted for this purpose for the Arabic language,which has unique ***,this paper proposes a comprehensive approach which includes two phases:detection and *** the detection phase of the study carried out,several standalone and ensemble machine learning methods were applied on the Arcov-19 dataset.A new detection model was used which combined two models:The Genetic Algorithm Based Support Vector Machine(that works on users’and tweets’features)and the stacking ensemble method(that works on tweets’texts).In the tracking phase,several similarity-based techniques were used to obtain the top 1%of similar tweets to a target tweet/post,which helped to find the source of the *** experiments showed interesting results in terms of accuracy,precision,recall and F1-Score for rumor detection(the accuracy reached 92.63%),and showed interesting findings in the tracking phase,in terms of ROUGE L precision,recall and F1-Score for similarity techniques.

关键词： Rumor detection rumor tracking similarity techniques COVID-19 social media analytics

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Unveiling the impact:COVID-19's influence on bacterial resistance in the Kingdom of Bahrain

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World Journal of Virology 2025年第1期14卷 83-98页

作者： Nermin K saeed Safiya K Almusawi Noor A Albalooshi mohammed Al-Beltagi Medical Microbiology Section Department of PathologySalmaniya Medical ComplexGovernmental HospitalsManama 12Bahrain Medical Microbiology Section Department of PathologyRoyal College of Surgeons in Ireland-Medical University of BahrainBusaiteen 15503MuharraqBahrain Department of Paediatrics Faculty of MedicineTanta UniversityTanta 31511AlghrabiaEgypt Department of Pediatric University Medical CenterKing Abdulla Medical CityArabian Gulf UniversityManama 26671AlgharbiaBahrain

BACKGROUND Antibiotic resistance is a growing global health threat,and understanding local trends in bacterial isolates and their susceptibility patterns is crucial for effective infection control and antimicrobial *** coronavirus disease 2019(COVID-19)pandemic has introduced additional complexities,potentially influencing these *** To analyze trends in bacterial isolates and their antibiotic susceptibility patterns at Salmaniya Medical Complex from 2018 to 2023,with a specific focus on the impact of the COVID-19 pandemic on these *** A retrospective analysis of microbiological data was conducted,covering the period from 2018 to *** study included key bacterial pathogens such as Escherichia coli(***),Klebsiella pneumoniae,Acinetobacter baumannii,Pseudomonas aeruginosa,and Staphylococcus aureus,among *** antibiotic susceptibility profiles of these isolates were assessed using standard laboratory *** contextualize the findings,the findings were compared with similar studies from other regions,including China,India,Romania,Saudi Arabia,the United Arab Emirates,Malaysia,and United *** The study revealed fluctuating trends in the prevalence of bacterial isolates,with notable changes during the COVID-19 *** example,a significant increase in the prevalence of Staphylococcus aureus was observed during the pandemic years,while the prevalence of *** showed a more variable *** resistance rates varied among the different pathogens,with a concerning rise in resistance to commonly used antibiotics,particularly among Klebsiella pneumoniae and ***,the study identified an alarming increase in the prevalence of multidrug-resistant(MDR)strains,especially within Klebsiella pneumoniae and *** *** impact of the COVID-19 pandemic on these trends was evident,with shifts in the frequency,resistance patterns,and the emergence of MDR bacteria among several key ***

关键词： Multidrug-resistant organisms Antibiotic susceptibility COVID-19 pandemic Antimicrobial stewardship Bacterial isolates Salmaniya Medical Complex Bahrain

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MoBShield:A Novel XML Approach for Securing Mobile Banking

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Computers, Materials & Continua 2024年第5期79卷 2123-2149页

作者： saeed Seraj Ali Safaa Sadiq OmprakashKaiwartya Mohammad Aljaidi Alexandros Konios mohammed Ali mohammed Abazeed Department of Computer Science Nottingham Trent UniversityClifton LaneNottinghamNG118NSUK Department of Computer Science Faculty of Information TechnologyZarqa UniversityZarqa13110Jordan Department of Computer Science King Khalid UniversityAbha61421Saudi Arabia

Mobile banking security has witnessed significant R&D attention from both financial institutions and *** is due to the growing number of mobile baking applications and their reachability and usefulness to ***,these applications are also attractive prey for cybercriminals,who use a variety of malware to steal personal banking *** literature in mobile banking security requiresmany permissions that are not necessary for the application’s intended security *** this context,this paper presents a novel efficient permission identification approach for securing mobile banking(MoBShield)to detect and prevent malware.A permission-based dataset is generated for mobile banking malware detection that consists large number of malicious adware apps and benign apps to use as training *** dataset is generated from 1650 malicious banking apps of the Canadian Institute of Cybersecurity,University of New Brunswick and benign apps from Google Play.A machine learning algorithm is used to determine whether amobile banking application ismalicious based on its permission ***,an eXplainable machine learning(XML)approach is developed to improve trust by explaining the reasoning behind the algorithm’s *** evaluation tests that the approach can effectively and practically identify mobile banking malware with high precision and reduced false ***,the adapted artificial neural networks(ANN),convolutional neural networks(CNN)and XML approaches achieve a higher accuracy of 99.7%and the adapted deep neural networks(DNN)approach achieves 99.6%accuracy in comparison with the state-of-the-art *** promising results position the proposed approach as a potential tool for real-world scenarios,offering a robustmeans of identifying and thwarting malware inmobile-based banking ***,MoBShield has the potential to significantly enhance the security and trustworthiness of

关键词： Security malware detection deep learning convolutional neural networks deep neural networks

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