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Big Data Bot with a Special Reference to Bioinformatics

Computers, materials & Continua 2023年第5期75卷 4155-4173页

作者： ahmad m.al-omari Shefa m.Tawalbeh Yazan H.Akkam mohammad al-Tawalbeh Shima’a Younis Abdullah A.mustafa Jonathan Arnold Biomedical Systems and Informatics Engineering Department Yarmouk UniversityIrbid21163Jordan Department of medicinal Chemistry and Pharmacognosy Yarmouk UniversityIrbid21163Jordan Department of Electrical Computer and Software EngineeringUniversity of Ontario Institute of TechnologyOshawaL1H7K4Canada Department of mechanical Engineering University of MosulMosul41001Iraq Genetics Department University of GeorgiaAthens30602GAUSA

There are quintillions of data on deoxyribonucleic acid(DNA)and protein in publicly accessible data banks,and that number is expanding at an exponential *** scientific fields,such as bioinformatics and drug discovery,rely on such data;nevertheless,gathering and extracting data from these resources is a tough *** data should go through several processes,including mining,data processing,analysis,and *** study proposes software that extracts data from big data repositories automatically and with the particular ability to repeat data extraction phases as many times as needed without human *** software simulates the extraction of data from web-based(point-and-click)resources or graphical user interfaces that cannot be accessed using command-line *** software was evaluated by creating a novel database of 34 parameters for 1360 physicochemical properties of antimicrobial peptides(AmP)sequences(46240 hits)from various mARVIN software panels,which can be later utilized to develop novel ***,for machine learning research,the program was validated by extracting 10,000 protein tertiary structures from the Protein Data *** a result,data collection from the web will become faster and less expensive,with no need for manual data *** software is critical as a first step to preparing large datasets for subsequent stages of analysis,such as those using machine and deep-learning applications.

关键词： Bioinformatics big data data extraction bot drug design

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Nanocomposite superstructure of zinc oxide mesocrystal/reduced graphene oxide with effective photoconductivity

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Journal of Semiconductors 2024年第11期45卷 81-88页

作者： ahmad A.ahmad Qais m.al-Bataineh ahmad B.migdadi Department of Physical Sciences Jordan University of Science&TechnologyP.O.Box 3030Irbid-22110Jordan

metal oxide mesocrystals are the alignment of metal oxide nanoparticles building blocks into the ordered superstructure,which have potentially tunable optical,electronic,and electrical properties suitable for practical ***,we report an effective method for synthesizing mesocrystal zinc oxide nanorods(ZnONRs).The crystal,surface,and internal structures of the zinc oxide mesocrystals were fully *** zinc oxide nanorods/reduced graphene oxide(ZnONRs/rGO)nanocomposite superstructure were synthesized also using the hydrothermal *** crystal,surface,chemical,and internal structures of the ZnONRs/rGO nanocomposite superstructure were also fully *** optical absorption coefficient,bandgap energy,band structure,and electrical conductivity of the ZnONRs/rGO nanocomposite superstructure were investigated to understand its optoelectronic and electrical ***,the photoconductivity of the ZnONRs/rGO nanocomposite superstructure was explored to find the possibilities of using this nanocomposite superstructure for ultraviolet(UV)photodetection ***,we concluded that the ZnONRs/rGO nanocomposite superstructure has high UV sensitivity and is suitable for UV detector applications.

关键词： mesocrystals superstructure mesocrystal zinc oxide nanorods(ZnONRs) meduced graphene oxide(rGO) ZnONRs/rGO nanocomposite superstructure UV photodetection

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Emerging insights into the function of very long chain fatty acids at cerebellar synapses

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Neural Regeneration Research 2025年第6期20卷 1709-1710页

作者： martin-Paul Agbaga mohiuddin ahmad Department of Cell Biology and Ophthalmology University of Oklahoma Health Sciences Centerand Dean McGee Eye InstituteOklahoma CityOKUSA

Very long chain-saturated and-polyunsaturated fatty acids(VLC-SFA and VLC-PUFA, respectively) are a functionally important class of fatty acids containing 28 carbons or more in their acyl chain. They are synthesized by the elongation of very long fatty acids-4(ELOVL4) enzyme, expressed mainly in the brain, retina, skin, testes, and meibomian gland, where these fatty acids are found(Agbaga et al., 2008). Further, these organs exhibit tissuespecific VLC-PUFA and VLC-SFA biosynthesis and incorporation into complex lipids for specific functions. In the brain, skin, and meibomian glands, the ELOVL4 mainly makes VLC-SFA, which are incorporated into complex sphingolipids. In the retina, the ELOVL4 makes VLC-PUFA that are incorporated into phosphatidylcholine, that are critical for visual function, while in testes and sperm, the VLC-PUFA are incorporated into sphingolipids that are critical for fertility(Yeboah et al., 2021).

关键词： functions function insight

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On Time Fractional Partial Differential Equations and Their Solution by Certain Formable Transform Decomposition method

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Computer modeling in Engineering & Sciences 2023年第9期136卷 3121-3139页

作者： Rania Saadeh ahmad Qazza aliaa Burqan Shrideh al-omari Department of mathematics Zarqa UniversityZarqa13110Jordan Department of mathematics Faculty of ScienceAl-Balqa Applied UniversityAmman11134Jordan

This paper aims to investigate a new efficient method for solving time fractional partial differential *** this orientation,a reliable formable transform decomposition method has been designed and developed,which is a novel combination of the formable integral transform and the decomposition ***,certain accurate solutions for time-fractional partial differential equations have been *** under concern demandsmore simple calculations and fewer efforts compared to the ***,the posed formable transformdecompositionmethod has been utilized to yield a series solution for given fractional partial differential ***,several interesting formulas relevant to the formable integral transform are applied to fractional operators which are performed as an excellent application to the existing ***,the formable transform decomposition method has been employed for finding a series solution to a time-fractional Klein-Gordon *** and above,some numerical simulations are also provided to ensure reliability and accuracy of the new approach.

关键词： Caputo derivative fractional differential equations formable transform time-fractional klein-gordon equation decomposition method

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Chaos-Based Cryptographic mechanism for Smart Healthcare IoT Systems

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Computers, materials & Continua 2022年第4期71卷 753-769页

作者： muhammad Samiullah Waqar Aslam Arif mehmood muhammad Saeed ahmad Shafiq ahmad Adel m.al-Shayea muhammad Shafiq Department of Computer Science&IT The Islamia University of BahawalpurBahawalpur63100Pakistan Department of Computer Science&IT Government Sadiq College Women UniversityBahawalpurPakistan Industrial Engineering Department College of EngineeringKing Saud UniversityP.O.Box 800Riyadh11421Saudi Arabia Department of Information and Communication Engineering Yeungnam UniversityGyeongsan38541Korea

Smart and interconnected devices can generate meaningful patient data and exchange it automatically without any human intervention in order to realize the Internet of Things(IoT)in healthcare(HIoT).Due to more and more online security and data hijacking attacks,the confidentiality,integrity and availability of data are considered serious issues in HIoT *** this regard,lightweight block ciphers(LBCs)are promising in resourceconstrained environment where security is the primary *** prevalent challenge while designing an LBC for the HIoT environment is how to ascertain platform performance,cost,and *** of the existing LBCs primarily focus on text data or grayscale *** main focus of this paper is about securing color images in a cost-effective *** emphasis high confidentiality of color images captured by cameras in resource-constrained smartphones,and high confidentiality of sensitive images transmitted by low-power sensors in IoT *** order to reduce computational complexity and simulation time,the proposed Lightweight Symmetric Block Cipher(LSBC)exploits chaos-based confusion-diffusion operations at the inter-block level using a single *** strength of LSBC is assessed by cryptanalysis,while it is ranked by comparing it to other privacy-preserving *** results show that the proposed cipher produces promising results in terms of key sensitivity and differential attacks,which proves that our LSBC is a good candidate for image security in HIoT.

关键词： IoT healthcare lightweight block cipher symmetric block cipher

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Optimal Deep Learning Based Inception model for Cervical Cancer Diagnosis

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Computers, materials & Continua 2022年第7期72卷 57-71页

作者： Tamer AbuKhalil Bassam A.Y.alqaralleh ahmad H.al-omari Computer Science Department Faculty of Information TechnologyAl Hussein bin Talal UniversityMa’an71111Jordan mIS Department College of Business AdministrationUniversity of Business and TechnologyJeddah21448Saudi Arabia Faculty of Science Computer Science DepartmentNorthern Border UniversityArar91431Saudi Arabia

Prevention of cervical cancer becomes essential and is carried out by the use of Pap smear *** smear test analysis is laborious and tiresome work performed visually using a ***,automated cervical cancer diagnosis using automated methods are *** paper designs an optimal deep learning based Inception model for cervical cancer diagnosis(ODLIm-CCD)using pap smear *** proposed ODLIm-CCD technique incorporates median filtering(mF)based pre-processing to discard the noise and Otsu model based segmentation ***,deep convolutional neural network(DCNN)based Inception with Residual Network(ResNet)v2 model is utilized for deriving the feature ***,swallow swarm optimization(SSO)based hyperparameter tuning process is carried out for the optimal selection of ***,recurrent neural network(RNN)based classification process is done to determine the presence of cervical cancer or *** order to showcase the improved diagnostic performance of the ODLIm-CCD technique,a series of simulations occur on benchmark test images and the outcomes highlighted the improved performance over the recent approaches with a superior accuracy of 0.9661.

关键词： median filtering convolutional neural network pap smear cervical cancer

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Results Involving Partial Differential Equations and Their Solution by Certain Integral Transform

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Computer modeling in Engineering & Sciences 2024年第2期138卷 1593-1616页

作者： Rania Saadah mohammed Amleh ahmad Qazza Shrideh al-omari Ahmet Ocak Akdemir Department of mathematics Faculty of ScienceZarqa UniversityZarqa13110Jordan Department of mathematics Faculty of ScienceAl-Balqa Applied UniversityAmman11134Jordan Department of mathematics Faculty of Science and LettersAgri Ibrahim莈鏴n UniversityAgri04100Turkey

In this study,we aimto investigate certain triple integral transformand its application to a class of partial *** discuss various properties of the new transformincluding inversion, linearity, existence, scaling andshifting, etc. Then,we derive several results enfolding partial derivatives and establish amulti-convolution ***, we apply the aforementioned transform to some classical functions and many types of partial differentialequations involving heat equations,wave equations, Laplace equations, and Poisson equations ***,wedraw some figures to illustrate 3-D contour plots for exact solutions of some selected examples involving differentvalues in their variables.

关键词： ARA transform double ARA transform triple ARA transform partial differential equations integral transform

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Primary sino-orbital peripheral T-cell lymphoma presenting as unilateral periorbital swelling: a case report

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International Journal of Ophthalmology(English edition) 2018年第11期11卷 1881-1883页

作者： ahmad al omari Firas al Zoubi mohammad m.alsalem Khalil m.al-Salem Hasan mohidat Department of Otolaryngology Jordan University of Science and Technology Department of Otolaryngology Yarmouk University Department of Ophthalmology Mutah University Department of Ophthalmology Jordan University of Science and Technology

Dear Editor,my name is ahmad al omari and I am currently working as an otorhinolaryngology assistant professor at Jordan University of Science and Technology. I am writing this letter to present a case of a primary si... 详细信息

关键词： Figure a case report Primary sino-orbital peripheral T-cell lymphoma presenting as unilateral periorbital swelling

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Deep Deterministic Policy Gradient to Regulate Feedback Control Systems Using Reinforcement Learning

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Computers, materials & Continua 2022年第4期71卷 1153-1169页

作者： Jehangir Arshad Ayesha Khan mariam Aftab mujtaba Hussain Ateeq Ur Rehman Shafiq ahmad Adel m.al-Shayea muhammad Shafiq Department of Electrical&Computer Engineering COMSATS University IslamabadLahore Campus54000Pakistan Department of Electrical Engineering Government College UniversityLahore54000Pakistan Industrial Engineering Department College of EngineeringKing Saud UniversityP.O.Box 800Riyadh11421Saudi Arabia Department of Information and Communication Engineering Yeungnam UniversityGyeongsan38541Korea

Controlling feedback control systems in continuous action spaces has always been a challenging ***,reinforcement learning is mainly an area of artificial intelligence(AI)because it has been used in process control for more than a ***,the existing algorithms are unable to provide satisfactory ***,this research uses a reinforcement learning(RL)algorithm to manage the control *** propose an adaptive speed control of the motor system based on depth deterministic strategy gradient(DDPG).The actor-critic scenario using DDPG is implemented to build the RL *** addition,a framework has been created for traditional feedback control systems to make RL implementation easier for control *** RL algorithms are robust and proficient in using trial and error to search for the best *** proposed algorithm is a deep deterministic policy gradient,in which a large amount of training data trains the *** the system is trained,the agent can automatically adjust the control *** algorithm has been developed using Python 3.6 and the simulation results are evaluated in the mATLAB/Simulink *** performance of the proposed RL algorithm is compared with a proportional integral derivative(PID)controller and a linear quadratic regulator(LQR)*** simulation results of the proposed scheme are promising for the feedback control problems.

关键词： Feedback control systems reinforcement learning artificial intelligence

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Optimal machine Learning Enabled Intrusion Detection in Cyber-Physical System Environment

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Computers, materials & Continua 2022年第9期72卷 4691-4707页

作者： Bassam A.Y.alqaralleh Fahad aldhaban Esam A.alQarallehs ahmad H.al-omari mIS Department College of Business AdministrationUniversity of Business and TechnologyJeddah21448Saudi Arabia School of Engineering Princess Sumaya University for TechnologyAmman11941Jordan Faculty of Science Computer Science DepartmentNorthern Border UniversityArar91431Saudi Arabia

Cyber-attacks on cyber-physical systems(CPSs)resulted to sensing and actuation misbehavior,severe damage to physical object,and safety *** learning(mL)models have been presented to hinder cyberattacks on the CPS environment;however,the non-existence of labelled data from new attacks makes their detection quite *** Detection System(IDS)is a commonly utilized to detect and classify the existence of intrusions in the CPS environment,which acts as an important part in secure CPS *** developments in deep learning(DL)and explainable artificial intelligence(XAI)stimulate new IDSs to manage cyberattacks with minimum complexity and high *** this aspect,this paper presents an XAI based IDS using feature selection with Dirichlet Variational Autoencoder(XAIIDS-FSDVAE)model for *** proposed model encompasses the design of coyote optimization algorithm(COA)based feature selection(FS)model is derived to select an optimal subset of ***,an intelligent Dirichlet Variational Autoencoder(DVAE)technique is employed for the anomaly detection process in the CPS ***,the parameter optimization of the DVAE takes place using a manta ray foraging optimization(mRFO)model to tune the parameter of the *** order to determine the enhanced intrusion detection efficiency of the XAIIDS-FSDVAE technique,a wide range of simulations take place using the benchmark *** experimental results reported the better performance of the XAIIDSFSDVAE technique over the recent methods in terms of several evaluation parameters.

关键词： Cyber-physical systems explainable artificial intelligence deep learning security intrusion detection metaheuristics

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