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International Journal of minerals,metallurgy and materials 2016年第2期23卷 205-214页

作者： Khadijah m.Emran Sanaa T.Arab aisha m.al-turkustani Hamad A.al-Turaif Chemistry Department Faculty of Science Taibah University Department of Chemistry Faculty of Sciences Al-Faisaliah King Abdulaziz University Department of Chemical and materials Engineering King Abdulaziz University

The effects of temperature on corrosion and the electrochemical behavior of Ni82.3Cr7Fe3Si4.5B3.2 glassy alloy in HC1,H2SO4,and H3PO4 acids were studied using AC and DC *** data reveal that the susceptibility to localized corrosion increases with increasing *** polarization curves reveal that the bulk glassy alloy is spontaneously passivated at all the investigated temperature in H2SO4 and H3PO4 solutions.A localized corrosion effect in HCl solution is clearly *** apparent activation energies in the regions of Tafel,active,and passive,as well as the enthalpies and entropies of the dissolution process were determined and *** high apparent activation energy（Ea） value for H3PO4 solution in Tafel region is explained by the low aggressivity of PO4^3- ions.

关键词： nickel alloys corrosion temperature effect acidic environment passivation polarization

Double sampling derivatives and truncation error estimates

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Applied mathematics(A Journal of Chinese Universities) 2018年第2期33卷 209-224页

作者： Rashad m.Asharabi aisha m.al-Hayzea Department of mathematics College of Arts and Sciences Najran University

This paper investigates double sampling series derivatives for bivariate functions defined on R2 that are in the Bernstein space. For this sampling series, we estimate some of the pointwise and uniform bounds when the function satisfies some decay conditions. The truncated series of this formula allow us to approximate any order of partial derivatives for function from Bernstein space using only a finite number of samples from the function itself. This sampling formula will be useful in the approximation theory and its applications, especially after having the truncation error well-established. Examples with tables and figures are given at the end of the paper to illustrate the advantages of this formula.

关键词： double sampling series truncation error bounds convergence rate

Treating amyotrophic lateral sclerosis with allogeneic Schwann cell-derived exosomal vesicles: a case report

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Neural Regeneration Research 2025年第4期20卷 1207-1216页

作者： Pascal J.Goldschmidt-Clermont aisha Khan George Jimsheleishvili Patricia Graham Adriana Brooks Risset Silvera alexander J.P.Goldschmidt Damien D.Pearse W.Dalton Dietrich allan D.Levi James D.Guest miller School of medicine University of MiamiMiamiFLUSA Stem Cell Institute Miller School of MedicineUniversity of MiamiMiamiFLUSA The miami Project to Cure Paralysis Miller School of MedicineUniversity of MiamiMiamiFLUSA alzady International LLC MiamiFLUSA Neurological Surgery Miller School of MedicineUniversity of MiamiMiamiFLUSA

Schwann cells are essential for the maintenance and function of motor neurons,axonal networks,and the neuromuscular *** amyotrophic lateral sclerosis,where motor neuron function is progressively lost,Schwann cell function may also be ***,important signaling and potential trophic activities of Schwann cell-derived exosomal vesicles have been *** case report describes the treatment of a patient with advanced amyotrophic lateral sclerosis using serial intravenous infusions of allogeneic Schwann cell-derived exosomal vesicles,marking,to our knowledge,the first instance of such *** 81-year-old male patient presented with a 1.5-year history of rapidly progressive amyotrophic lateral *** initial diagnosis,the patient underwent a combination of generic riluzole,sodium phenylbutyrate for the treatment of amyotrophic lateral sclerosis,and *** patient volunteered to participate in an FDA-approved single-patient expanded access treatment and received weekly intravenous infusions of allogeneic Schwann cell-derived exosomal vesicles to potentially restore impaired Schwann cell and motor neuron *** confirmed that cultured Schwann cells obtained from the amyotrophic lateral sclerosis patient via sural nerve biopsy appeared impaired(senescent)and that exposure of the patient’s Schwann cells to allogeneic Schwann cell-derived exosomal vesicles,cultured expanded from a cadaver donor improved their growth capacity in *** a period of observation lasting 10 weeks,during which amyotrophic lateral sclerosis Functional Rating Scale-Revised and pulmonary function were regularly monitored,the patient received weekly consecutive infusions of 1.54×1012(×2),and then consecutive infusions of 7.5×1012(×6)allogeneic Schwann cell-derived exosomal vesicles diluted in 40 mL of Dulbecco’s phosphate-buffered *** of the infusions were associated with adverse events such as infusion reactions(allergic or otherwise)or

关键词： allogeneic amyotrophic lateral sclerosis exosomes infusion neuromuscular junction Schwann cell

malicious URL Classification Using Artificial Fish Swarm Optimization and Deep Learning

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Computers, materials & Continua 2023年第1期74卷 607-621页

作者： Anwer mustafa Hilal aisha Hassan Abdalla Hashim Heba G.mohamed mohamed K.Nour mashael m.Asiri ali m.al-Sharafi mahmoud Othman Abdelwahed motwakel Department of Electrical and Computer Engineering International Islamic University Malaysia 53100 Kuala LumpurMalaysia Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlKharjSaudi Arabia Department of Electrical Engineering College of EngineeringPrincess Nourah Bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Computer Sciences College of Computing and Information SystemUmm Al-Qura UniversitySaudi Arabia Department of Computer Science College of Science&Art at MahayilKing Khalid UniversitySaudi Arabia Department of Computer Science College of Computers and Information TechnologyUniversity of BishaSaudi Arabia Department of Computer Science Faculty of Computers and Information TechnologyFuture University in EgyptNew Cairo11835Egypt

Cybersecurity-related solutions have become familiar since it ensures security and privacy against cyberattacks in this digital *** Uniform Resource Locators(URLs)can be embedded in email or Twitter and used to lure vulnerable internet users to implement malicious data in their *** may result in compromised security of the systems,scams,and other such *** attacks hijack huge quantities of the available data,incurring heavy financial *** the same time,machine Learning(mL)and Deep Learning(DL)models paved the way for designing models that can detect malicious URLs accurately and classify *** this motivation,the current article develops an Artificial Fish Swarm.algorithm(AFSA)with Deep Learning Enabled malicious URL Detection and Classification(AFSADL-mURLC)*** presented AFSADL-mURLC model intends to differentiate the malicious URLs from genuine *** attain this,AFSADL-mURLC model initially carries out data preprocessing and makes use of glove-based word embedding *** addition,the created vector model is then passed onto Gated Recurrent Unit(GRU)classification to recognize the malicious ***,AFSA is applied to the proposed model to enhance the efficiency of GRU *** proposed AFSADL-mURLC technique was experimentally validated using benchmark dataset sourced from Kaggle *** simulation results confirmed the supremacy of the proposed AFSADL-mURLC model over recent approaches under distinct measures.

关键词： malicious URL cybersecurity deep learning machine learning metaheuristics gated recurrent unit

Viscosity Effects on Anisotropic Universe in Curvature-matter Coupling Gravity

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Communications in Theoretical Physics 2018年第5期69卷 537-543页

作者： m.Sharif aisha Siddiqa Department of mathematics University of the PunjabQuaid-e-Azam Campus

In this paper, we study evolution of the universe in the background of f(R, T) gravity using LRS Bianchi type-Ⅰ model. We discuss scale factors as well as deceleration parameter in dark energy dominated era for different bulk viscosity models. The occurrence of big-rip singularity is also examined. It is concluded that expansion is faster when bulk viscosity is proportional to Hubble parameter as compared to other models.

关键词： f(R T) gravity anisotropic universe bulk viscosity

A view of compact configurations from the R+γe^xT scenario

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Communications in Theoretical Physics 2020年第3期72卷 38-45页

作者： aisha Siddiqa Department of mathematics Virtual University of Pakistan54-Lawrence RoadLahorePakistan

This paper presents a picture of compact structures for the f(R,T)model of the form R+γe^χT,withγandχbeing *** poly tropic equation of state and the mIT bag model reflect the pressure density relation for these compact *** this purpose,a system of two differential equations involving pressure as well as the mass of the stellar structure is obtained from field equations and the Tolman-Oppenheimer-Volkoff(TOV)*** numerical solution of this system gives a graphical description of various characteristics of these compact *** examine the viability and stability of assumed configurations,the energy conditions,causality relation and adiabatic index are discussed for the presumed scenario.

关键词： f(R,T)gravity neutron and quark stars equation of state

Reconstructing Real Object Appearance with Virtual materials Using mobile Augmented Reality

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Reconstructing Real Object Appearance with Virtual Materials...

作者： al-HEJRI aisha mOHAmmED ABDO NAJI 湖南大学

学位级别：硕士

将虚拟对象加载到反映现实环境的AR视图中并不是一件非常困难的事情。但是如何使AR视图中的虚拟物体表面看起来更真实则需要更多的努力。比如,虚拟纹理应该看起来完全与真实物体贴合,需要更准确地跟踪目标物体。同时,加载的虚拟材质应... 详细信息

将虚拟对象加载到反映现实环境的AR视图中并不是一件非常困难的事情。但是如何使AR视图中的虚拟物体表面看起来更真实则需要更多的努力。比如,虚拟纹理应该看起来完全与真实物体贴合,需要更准确地跟踪目标物体。同时,加载的虚拟材质应真实反映它们所在的实际环境的光照和阴影条件。在本文中,我们介绍了一种改进的方法,用于增强现实应用中环境照明的实时光估计,跟踪物理对象的运动,并使相应的虚拟对象反映实际环境的光照和阴影。首先,我们提出了一种估计AR场景中光线的有效方法,方法是在不同场景上从RGB-D图像的输入中训练一次深度神经网络,以确定最亮光线的方向。该研究依赖于通过独立于相机位置的神经网络估计光源,然后在光估计过程之后计算到真实世界空间的变换。这个问题是通过计算在坐标空间中与相机位置对齐的最亮光源来解决的。因此,最亮光的方向是通过坐标系中的相对角度来模拟的。为了使光照估计不受相机位置的影响,这些角度是从相机的坐标空间中计算出来的。最亮光方向的坐标表示被转换为向量,用于在AR系统中进行渲染。由于训练和测试用例中真实数据的在手机上的性能不够理想,所提出的神经网络仅在合成数据上进行训练。其次,我们尝试了不同的方法来检测和跟踪不同类型的真实物体(平面、简单几何图形和复杂几何图形),以在这些表面上可视化虚拟材料,其中虚拟材料采用我们提出的光估计方法来获取真实位置的条件照明、反射和阴影。我们的光估计方法通过对三种真实物体的实验进行了测试。结果表明,与其他工作相比,我们的方法在检测精度、跟踪精度、材料的真实可视化、匹配真实阴影和光照条件方面取得了比较好的效果。

关键词：增强现实深度学习光估计 RGB-D图像

Dragonfly Optimization with Deep Learning Enabled Sentiment Analysis for Arabic Tweets

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Computer Systems Science & Engineering 2023年第8期46卷 2555-2570页

作者： aisha m.mashraqi Hanan T.Halawani College of Computer Science and Information Systems Najran UniversityNajran61441Saudi Arabia

Sentiment Analysis(SA)is one of the machine Learning(mL)techniques that has been investigated by several researchers in recent years,especially due to the evolution of novel data collection methods focused on social *** literature,it has been reported that SA data is created for English language in excess of any other *** is challenging to perform SA for Arabic Twitter data owing to informal nature and rich morphology of Arabic *** earlier study conducted upon SA for Arabic Twitter focused mostly on automatic extraction of the features from the *** word embedding has been employed in literature,since it is less labor-intensive than automatic feature *** ignoring the context of sentiment,most of the word-embedding models follow syntactic data of *** current study presents a new Dragonfly Optimization with Deep Learning Enabled Sentiment Analysis for Arabic Tweets(DFODLSAAT)*** aim of the presented DFODL-SAAT model is to distinguish the sentiments from opinions that are tweeted in Arabic *** first,data cleaning and pre-processing steps are performed to convert the input tweets into a useful *** addition,TF-IDF model is exploited as a feature extractor to generate the feature ***,Attention-based Bidirectional Long Short Term memory(ABLSTm)technique is applied for identification and classification of *** last,the hyperparameters of ABLSTm model are optimized using DFO *** performance of the proposed DFODL-SAAT model was validated using the benchmark dataset and the outcomes were investigated under different *** experimental outcomes highlight the superiority of DFODL-SAAT model over recent approaches.

关键词： Natural language processing sentiment analysis arabic tweets deep learning metaheuristics lexicon approach

Investigations of Viscous Dissipation in Stagnation Point Flow Past a Stretchable Riga Wall: modern Analysis of Heat Transport

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Communications in Theoretical Physics 2019年第4期71卷 377-383页

作者： aisha Anjum N.A.mir m.Farooq m.Javed S.Ahmad Department of mathematics Riphah International University

This article scrutinizes the features of viscous dissipation in the stagnation point ?ow past through a linearly stretched Riga wall by implementing Cattaneo-Christov heat ?ux model. Viscous dissipation is carried out in Cattaneo-Christov diffusion analysis for the ?rst time in this letter. As a result of Cattaneo-Christov model, some extra terms of viscous dissipation are appeared in the energy equation. These extra terms of viscous dissipation are missing in the literature. On the utilization of suitable transformations, the equations governing the problem are reduced under the boundary layer approximation into the non-linear and dimensionless ordinary differential equations. Convergent approach is utilized to solve the dimensionless governing equations. The solution thus acquired is used to highlight the effects of emerging parameters on velocity distribution and ?uid's temperature through the graphs. Features of the drag force(or skin friction co-e?cient) are graphically interpreted. It is noticed that the presence of modi?ed Hartman number helps to reduce the ?uid's temperature but enhances the velocity pro?le. Further an enlargement in the value of thermal time relaxation parameter helps to decrease the temperature distribution.

关键词： stagnation point Cattaneo-Christov theory Riga plate linear stretching viscous dissipation

Seeker Optimization with Deep Learning Enabled Sentiment Analysis on Social media;

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Computers, materials & Continua 2022年第12期73卷 5985-5999页

作者： Hanan m.alghamdi Saadia H.A.Hamza aisha m.mashraqi Sayed Abdel-Khalek Department of Computer Science College of Computing Al-QunfidhahUmm Al-Qura UniversitySaudi Arabia Department of Computer Science College of Science and HumanitiesSlayelPrince Sattam Bin AbdulAziz UniversitySaudi Arabia Department of Computer Science College of Computer Science and Information SystemsNajran UnivesityNajran61441Saudi Arabia Department of mathematics College of ScienceTaif UniversityP.O.Box 11099Taif21944Saudi Arabia Department of mathematics Faculty of ScienceSohag UniversitySohagEgypt

World Wide Web enables its users to connect among themselves through social networks,forums,review sites,and blogs and these interactions produce huge volumes of data in various forms such as emotions,sentiments,views,*** Analysis(SA)is a text organization approach that is applied to categorize the sentiments under distinct classes such as positive,negative,and ***,Sentiment Analysis is challenging to perform due to inadequate volume of labeled data in the domain of Natural Language Processing(NLP).Social networks produce interconnected and huge data which brings complexity in terms of expanding SA to an extensive array of ***,there is a need exists to develop a proper technique for both identification and classification of sentiments in social *** get rid of these problems,Deep Learning methods and sentiment analysis are consolidated since the former is highly efficient owing to its automatic learning *** current study introduces a Seeker Optimization algorithm with Deep Learning enabled SA and Classification(SOADL-SAC)for social *** presented SOADL-SAC model involves the proper identification and classification of sentiments in social *** order to attain this,SOADL-SAC model carries out data preprocessing to clean the input *** addition,Glove technique is applied to generate the feature ***,Self-Head multi-Attention based Gated Recurrent Unit(SHmA-GRU)model is exploited to recognize and classify the ***,Seeker Optimization algorithm(SOA)is applied to fine-tune the hyperparameters involved in SHmA-GRU model which in turn enhances the classifier *** order to validate the enhanced outcomes of the proposed SOADL-SAC model,various experiments were conducted on benchmark *** experimental results inferred the better performance of SOADLSAC model over recent state-of-the-art approaches.

关键词： Sentiment analysis classification of sentiment social media seeker optimization algorithm glove embedding natural language processing