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A Survey on the Role of Complex Networks in IoT and Brain Communication

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Computers, Materials & Continua 2023年第9期76卷 2573-2595页

作者： Vijey Thayananthan Aiiad Albeshri Hassan a.alamri Muhammad Bilal Qureshi Muhammad Shuaib Qureshi Cybersecurity Department Faculty of ComputingEngineering and ScienceUniversity of SouthWalesWalesUK Department of Computer Science Faculty of Computing and Information Technology(FCIT)King Abdulaziz UniversityJeddah21589Saudi Arabia Computer Science Department Umm Al-Qura UniversityMakkah21955Saudi Arabia Department of Computer Science&IT University of Lakki MarwatLakki Marwat28420KPKPakistan Department of Computer Engineering Chungnam National UniversityDaejeon34134Republic of Korea

Complex networks on the Internet of Things(IoT)and brain communication are the main focus of this *** benefits of complex networks may be applicable in the future research directions of 6G,photonic,IoT,brain,etc.,communication *** data traffic,huge capacity,minimal level of dynamic latency,*** some of the future requirements in 5G+and 6G communication *** emerging communication,technologies such as 5G+/6G-based photonic sensor communication and complex networks play an important role in improving future requirements of IoT and brain *** this paper,the state of the complex system considered as a complex network(the connection between the brain cells,neurons,etc.)needs measurement for analyzing the functions of the neurons during brain ***,we measure the state of the complex system through *** 5G+/6G-based photonic sensor nodes,finding observability influenced by the concept of contraction provides the stability of *** IoT or any sensors fail to measure the state of the connectivity in the 5G+or 6G communication due to external noise and attacks,some information about the sensor nodes during the communication will be ***,neurons considered sing the complex networks concept neuron sensors in the brain lose communication and ***,affected sensor nodes in a contraction are equivalent to compensate for maintaining stability *** this compensation,loss of observability depends on the contraction size which is a key factor for employing a complex *** analyze the observability recovery,we can use a contraction detection algorithm with complex network *** survey paper shows that contraction size will allow us to improve the performance of brain communication,stability of neurons,etc.,through the clustering coefficient considered in the contraction detection *** addition,we discuss the scalability of IoT communication using 5G+/6G

关键词： Complex networks emerging communication IoT based on 6G systems neuroscience photonic technology

Discovery of human coronaviruses pan-papain-like protease inhibitors using computational approaches

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Journal of Pharmaceutical Analysis 2020年第6期10卷 546-559页

作者： Mubarak a.alamri Muhammad Tahir ul Qamar Muhammad Usman Mirza Safar M.Alqahtani Matheus Froeyen Ling-Ling Chen Department of Pharmaceutical Chemistry College of PharmacyPrince Sattam Bin Abdulaziz UniversityAlkarjSaudi Arabia College of Life Science and Technology Guangxi UniversityNanningChina Department of Pharmaceutical and Pharmacological Sciences Rega Institute for Medical ResearchMedicinal ChemistryUniversity of LeuvenB-3000LeuvenBelgium Hubei Key Laboratory of Agricultural Bioinformatics College of InformaticsHuazhong Agricultural UniversityWuhan430070China

The papain-like protease(PLpro)is vital for the replication of coronaviruses(Co Vs),as well as for escaping innate-immune responses of the ***,it has emerged as an attractive antiviral *** this study,computational approaches were employed,mainly the structure-based virtual screening coupled with all-atom molecular dynamics(MD)simulations to computationally identify specific inhibitors of severe acute respiratory syndrome coronavirus 2(SARS-Co V-2)PLpro,which can be further developed as potential pan-PLprobased broad-spectrum antiviral *** sequence,structure,and functional conserveness of most deadly human Co Vs PLprowere explored,and it was revealed that functionally important catalytic triad residues are well conserved among SARS-Co V,SARS-Co V-2,and middle east respiratory syndrome coronavirus(MERS-Co V).The subsequent screening of a focused protease inhibitors database composed of^7,000 compounds resulted in the identification of three candidate compounds,ADM13083841,LMG15521745,and *** three compounds established conserved interactions which were further explored through MD simulations,free energy calculations,and residual energy contribution estimated by MM-PB(GB)SA *** these compounds showed stable conformation and interacted well with the active residues of SARS-Co V-2 PLpro,and showed consistent interaction profile with SARS-Co V PLproand MERS-Co V PLproas ***,the reported SARS-Co V-2 PLprospecific compounds could serve as seeds for developing potent pan-PLprobased broad-spectrum antiviral drugs against deadly human ***,the presented information related to binding site residual energy contribution could lead to further optimization of these compounds.

关键词： COVID-19 MERS-CoV Molecular dynamic simulation Pan-inhibitors Papain-like protease SARS-CoV SARS-CoV-2 Virtual screening

Biosynthesis of raw starch degradingβ-cyclodextrin glycosyltransferase by immobilized cells of Bacillus licheniformis using potato wastewater

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BIOCELL 2021年第6期45卷 1661-1672页

作者： YASSER S.MOSTAFA SAAD a.alamri SULIMAN A.ALRUMMAN TAREK H.TAHA MOHAMED HASHEM MAHMOUD MOUSTAFA LAMIAA I.FAHMY Department of Biology College of ScienceKing Khalid UniversityAbha9004Saudi Arabia Prince Sultan Bin Abdulaziz Center for Environmental and Tourism Research and Studies King Khalid UniversityAbha9004Saudi Arabia Environmental Biotechnology Department Genetic Engineering and Biotechnology Research InstituteCity of Scientific Research&Technological ApplicationsNew Borg El-Arab City21934Egypt Department of Botany and Microbiology Faculty of ScienceAssiut UniversityAssiut71515Egypt Department of Botany and Microbiology Faculty of ScienceSouth Valley UniversityQena83523Egypt Department of Microbiology and Immunology Faculty of PharmacyOctober University for Modern Science and ArtGiza12451Egypta

The study was sought to enhance the synthesis of thermal stableβ-cyclodextrin glycosyltransferase(β-CGTase)using potato wastewater as a low-cost medium and assess the degree to which it is efficient for industrial production ofβ-cyclodextrin(β-CD)from raw potato *** bacteria producingβ-CGTase was isolated from Saudi Arabia and the promising strain was identified as Bacillus licheniformis using phylogenetic analysis of the 16S rRNA ***-encapsulated cultures exhibited twice-fold ofβ-CGTase production more than free *** electron microscopy(SEM)of polymeric capsules indicated the potential for a longer shelf-life,which promotes the restoration of activity in bacterial cells across semi-continuous fermentation ofβ-CGTase production for 252 *** optimal conditions forβ-CGTase synthesis using potato wastewater medium were at 36 h,pH of 8.0,and 50°C with 0.4%potato starch and 0.6%yeast extract as carbon and nitrogen sources,*** purified enzyme showed a specific activity of 63.90 U/mg with a molecular weight of∼84.6 kDa as determined by SDS-PAGE *** high enzyme activity was observed up to 60°C,and complete stability was achieved at 75°*** levels of activity and stability were shown at pH 8.0,and the pH range from 7.0–10.0,*** enzyme has an appreciable affinity for raw potato starch with a Km of 5.7×10−6 M and a Vmax of 87.71μmoL/mL/min.β-CD production was effective against 25 U/g of raw potato *** outcomes demonstrated its feasibility to develop a fermentation process by integrating the cost-effective production ofβ-CGTase having distinctive properties forβ-CD production with ecofriendly utilization of potato wastewater.

关键词： Potato wastewater Bacillus licheniformis β-CGTase 16S rDNA gene Semi-continuous fermentation β-cyclodextrin

Artificial Intelligence and Internet of Things Enabled Intelligent Framework for Active and Healthy Living

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Computers, Materials & Continua 2023年第5期75卷 3833-3848页

作者： Saeed Ali Alsareii Mohsin Raza Abdulrahman Manaa.alamri Mansour yousef AlAsmari Muhammad Irfan Hasan Raza Muhammad Awais Department of Surgery College of MedicineNajran University Saudi ArabiaNajran61441Saudi Arabia Department of Computer Science Edge Hill UniversitySt Helens RdOrmskirkL394QPUnited Kingdom Electrical Engineering Department College of EngineeringNajran University Saudi ArabiaNajran61441Saudi Arabia Department of Electrical Engineering Hamdard UniversityIslamabadPakistan

Obesity poses several challenges to healthcare and the well-being of *** can be linked to several life-threatening *** is a viable option in some instances to reduce obesity-related risks and enable weight ***-of-the-art technologies have the potential for long-term benefits in post-surgery *** this work,an Internet of Things(IoT)framework is proposed to effectively communicate the daily living data and exercise routine of surgery patients and patients with excessive *** proposed IoT framework aims to enable seamless communications from wearable sensors and body networks to the cloud to create an accurate profile of the *** also attempts to automate the data analysis and represent the facts about a *** IoT framework proposes a co-channel interference avoidance mechanism and the ability to communicate higher activity data with minimal impact on the bandwidth requirements of the *** proposed IoT framework also benefits from machine learning based activity classification systems,with relatively high accuracy,which allow the communicated data to be translated into meaningful information.

关键词： Artificial intelligence healthcare obesity Internet of Things machine learning physical activity classification activity monitoring

A stable flat universe with variable cosmological constant in f(R,T)gravity

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Research in Astronomy and Astrophysics 2018年第10期18卷 65-74页

作者： Nasr Ahmed Sultan Z.alamri Astronomy Department National Research Institute of Astronomy and GeophysicsHelwanCairoEgypt Mathematics Department Faculty of ScienceTaibah UniversitySaudi Arabia

In this paper, a general FRW cosmological model has been constructed in f（R, T） gravity reconstruction with variable cosmological constant. A number of solutions to the field equations has been generated by utilizing a form for the Hubble parameter that leads to Berman＇s law of constant deceleration parameter q =m - 1. The possible decelerating and accelerating solutions have been investigated. For （q 〉 0） we get a stable fiat decelerating radiation-dominated universe at q = 1. For （q 〈 0） we get a stable accelerating solution describing a flat universe with positive energy density and negative cosmological constant. Nonconventional mechanisms that are expected to address the late-time acceleration with negative cosmological constant have been discussed.

关键词： modified gravity cosmology deceleration parameter

Multi-Floor Indoor Trajectory Reconstruction Using Mobile Devices

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Computer Modeling in Engineering & Sciences 2021年第9期128卷 927-948页

作者： Sultan alamri Kartini Nurfalah Kiki Adhinugraha College of Computing and Informatics Saudi Electronic UniversityRiyadh11673Saudi Arabia School of Computing Telkom UniversityBandung40257Indonesia Computer Science and Information Technology La Trobe UniversityMelbourne3086Australia

An indoor trajectory is the path of an object moving through corridors and stairs inside a *** are various types of technologies that can be used to reconstruct the path of a moving object and detect its *** has been used for reconstruction in outdoor environments,but for indoor environments,mobile devices with embedded sensors are *** accelerometer sensor and a magnetometer sensor are used to detect human movement and reconstruct the trajectory on a single *** an indoor environment,there are many activities that will create the trajectory similar to an outdoor environment,such as passing along the corridor,going from one room to another,and other *** need to analyse trajectories to obtain the movement patterns,understand themost frequently visited places or paths used aswell as the least frequented ***,we can utilize movement patterns to obtain a better building design and *** latest studies focus on reconstructing the trajectory on a single ***,actual indoor environments are comprised of multi-floors and *** purpose of this paper is to reconstruct a trajectory in an indoor multi-floor *** have conducted extensive experiments to evaluate the performance of our proposed algorithms in a campus *** result of our experiment shows that the height of the building can be detected using a barometer sensor that gives an atmospheric pressure reading which is then transformed by setting the range value according to the number of floors,enabling the sensors to detect activity in a multi-floor *** readings obtained from the magnetometer sensor can be used to reconstruct the trajectory similar to the real path based on the direction and degree of *** system accuracy in recognizing steps in a multi-floor building is about 84%.

关键词： Reconstruction indoor trajectory multi-floor accelerometer barometer magnetometer

An Optimized Method for Accounting Information in Logistic Systems

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Computer Systems Science & Engineering 2023年第5期45卷 1595-1609页

作者： Ahmad Mohammed alamri Ahmad Ali AlZubi Administrative Sciences Department Community CollegeKing Saud UniversityRiyadhSaudi Arabia Computer Science Department Community CollegeKing Saud UniversityP.O.Box 28095Riyadh11437Saudi Arabia

In the era of rapid information development,with the popularity of computers,the advancement of science and technology,and the ongoing expansion of IT technology and business,the enterprise resource planning(ERP)system has evolved into a platform and a guarantee for the fulfilment of company management procedures after long-term *** of developments in information technology,most manual accounting procedures are being replaced by computerized Accounting Information Systems(AIS),which are quicker and more *** primary factors influencing the decisions of logistics firm trading parties are investigated in order to enhance the design of decision-supporting modules and to improve the performance of logistics enterprises through *** paper proposed a novel approach to calculate the weights of each information element in order to establish their important *** main purpose of this research is to present a quantitative analytic approach for determining the important information of logistics business collaboration ***,the idea of total orders and the significant degrees stated above are used to identify the optimal order of all information *** the three ways of marginal revenue,marginal cost,and business matching degree,the information with cumulative weights is which is deployed to form the data from the intersection of the best *** has the ability to drastically reduce the time and effort required to create a logistics business control/decision-making system.

关键词： Accounting information systems decisions systems corporate accounting logistic system

Structural basis of SARS-CoV-2 3CL^pro and anti-COVID-19 drug discovery from medicinal plants

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Journal of Pharmaceutical Analysis 2020年第4期10卷 313-319页

作者： Muhammad Tahir ul Qamar Safar MAlqahtani Mubarak Aalamri Ling-Ling Chen College of Life Science and Technology Guangxi UniversityNanning530004PR China Hubei Key Laboratory of Agricultural Bioinformatics College of InformaticsHuazhong Agricultural UniversityWuhan430070PR China Department of Pharmaceutical Chemistry College of PharmacyPrince Sattam Bin Abdulaziz University11323AlkarjSaudi Arabia

The recent pandemic of coronavirus disease 2019(COVID-19)caused by SARS-CoV-2 has raised global health *** viral 3-chymotrypsin-like cysteine protease(3CL^pro)enzyme controls coronavirus replication and is essential for its life cycle.3CL^pro is a proven drug discovery target in the case of severe acute respiratory syndrome coronavirus(SARS-CoV)and Middle East respiratory syndrome coronavirus(MERS-CoV).Recent studies revealed that the genome sequence of SARS-CoV-2 is very similar to that of ***,herein,we analysed the 3CL^pro sequence,constructed its 3D homology model,and screened it against a medicinal plant library containing 32,297 potential anti-viral phytochemicals/traditional Chinese medicinal *** analyses revealed that the top nine hits might serve as potential anti-SARS-CoV-2 lead molecules for further optimisation and drug development process to combat COVID-19.

关键词： Coronavirus SARS-CoV-2 COVID-19 Natural products Protein homology modelling Molecular docking Molecular dynamics simulation

Towards Improving Predictive Statistical Learning Model Accuracy by Enhancing Learning Technique

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Computer Systems Science & Engineering 2022年第7期42卷 303-318页

作者： Ali Algarni Mahmoud Ragab Wardah alamri Samih MMostafa Statistics Department Faculty of ScienceKing Abdulaziz UniversityJeddah21589Saudi Arabia Information Technology Department Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah21589Saudi Arabia Mathematics Department Faculty of ScienceAl-Azhar UniversityNaser City11884Egypt Centre of Artificial Intelligence for Precision Medicines King Abdulaziz UniversityJeddah21589Saudi Arabia Educational Technology Department Educational Graduate Studies FacultyKing Abdulaziz UniversityJeddah21589Saudi Arabia Computer Science Department Faculty of Computers and InformationSouth Valley UniversityQena83523Egypt

The accuracy of the statistical learning model depends on the learning technique used which in turn depends on the dataset’s *** most research studies,the existence of missing values(MVs)is a vital *** addition,any dataset with MVs cannot be used for further analysis or with any data driven tool especially when the percentage of MVs are *** this paper,the authors propose a novel algorithm for dealing with MVs depending on the feature selec-tion(FS)of similarity classiﬁer with fuzzy entropy *** proposed algo-rithm imputes MVs in cumulative *** candidate feature to be manipulated is selected using similarity classiﬁer with Parkash’s fuzzy entropy *** predictive model to predict MVs within the candidate feature is the Bayesian Ridge Regression(BRR)***,any imputed features will be incorporated within the BRR equation to impute the MVs in the next chosen incomplete *** proposed algorithm was compared against some practical state-of-the-art imputation methods by conducting an experiment on four medical datasets which were gathered from several databases repository with MVs gener-ated from the three missingness *** evaluation metrics of mean abso-lute error(MAE),root mean square error(RMSE)and coefﬁcient of determination(R2 score)were used to measure the *** results exhibited that perfor-mance vary depending on the size of the dataset,amount of MVs and the missing-ness mechanism ***,compared to other methods,the results showed that the proposed method gives better accuracy and less error in most cases.

关键词： Bayesian ridge regression fuzzy entropy measure feature selection imputation missing values missingness mechanisms similarity classiﬁer medical dataset