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Morphology controllable urchin-shaped bimetallic nickel-cobalt oxide/carbon composites with enhanced electromagnetic wave absorption performance

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Journal of Materials Science & Technology 2023年第17期148卷 250-259页

作者： Fushan Li Qiuyu Li Hideo kimura Xiubo Xie Xiaoyu Zhang Nannan Wu Xueqin Sun Ben Bin Xu Hassan Algadi Rami Adel Pashameah abdullah k.alanazi Eman Alzahrani Handong Li Wei Du Zhanhu Guo Chuanxin Hou School of Environmental and Material Engineering Yantai UniversityYantai 264005China Shandong Laboratory of Yantai Advanced Materials and Green Manufacturing Yantai 264005China School of Material Science and Engineering Shandong University of Science and TechnologyQingdao 266590China Mechanical and Construction Engineering Faculty of Engineering and EnvironmentNorthumbria UniversityNewcastle Upon Tyne NE18STUK College of Materials Science and Engineering Taiyuan University of Science and TechnologyTaiyuan 030024China Department of Electrical Engineering Faculty of EngineeringNajran UniversityNajran 11001Saudi Arabia Department of Chemistry Faculty of Applied ScienceUmm Al-Qura UniversityMakkah 24230Saudi Arabia Department of Chemistry College of ScienceTaif UniversityP.O.Box 11099Taif 21944Saudi Arabia Integrated Composites Laboratory(ICL) Mechanical and Construction EngineeringNorthumbria UniversityNewcastle Upon Tyne NE18STUK Department of Chemical and Bimolecular Engineering University of TennesseeKnoxvilleTN 37996United States

The microscopic morphology of electromagnetic wave absorbers influences the multiple reflections of electromagnetic waves and impedance matching,determining the absorption ***,the urchin-shaped bimetallic nickel-cobalt oxide/carbon(NiCo_(2)O_(4)/C)composites are prepared via a hy-drothermal route,whose absorption properties are investigated by different morphologies regulated by changing calcination temperature.A minimum reflection loss(RL_(min))of-75.26 dB is achieved at a match-ing thickness of 1.5 mm,and the effective absorption bandwidth(EAB)of 8.96 GHz is achieved at 2 ***-advantages of the synthesized NiCo_(2)O_(4)/C composites contribute to satisfactory absorption ***,the interweaving of the needle-like structures increases the opportunities for scattering and multiple reflections of incident electromagnetic waves,and builds up a conductive network to facilitate the enhancement of conductive ***,the carbon component in the NiCo_(2)O_(4)/C composites en-hances the interfacial polarization and reduces the density of the ***,generous oxygen va-cancy defects are introduced into the NiCo_(2)O_(4)/C composites,which induces defect polarization and dipole *** summary,the ternary coordination of components,defects and morphology led to out-standing electromagnetic wave absorption,which lightened the path for improving the electromagnetic wave absorption property and enriching the family of NiCo_(2)O_(4) absorbers with excellent performance.

关键词： NiCo_(2)O_(4)/C Oxygen vacancies Interfacial polarization Electromagnetic wave absorber

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Perfluorosulfonic acid proton exchange membrane with double proton site side chain for high-performance fuel cells at low humidity

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Journal of Materials Science & Technology 2023年第35期166卷 155-163页

作者： Hongyun Tan Shengqiu Zhao S.Eltahir Ali Shuhong Zheng abdullah k.alanazi Rui Wang Haining Zhang Hala M.Abo-Dief Ben Bin Xu Hassan Algadi Handong Li Priyanka Wasnik Zhanhu Guo Haolin Tang State key Laboratory of Advanced Technology for Materials Synthesis and Processing Wuhan University of TechnologyWuhan 430070China Department of Science and Technology University College-RanyahTaif UniversityP.O.Box 11099Taif 21944Saudi Arabia Department of Chemistry College of ScienceTaif UniversityP.O.Box 11099Taif 21944Saudi Arabia Foshan Xianhu Laboratory of the Advanced Energy Science and Technology Guangdong Laboratory Xianhu Hydrogen ValleyFoshan 528200China Integrated Composites Laboratory(ICL) Mechanical and Construction EngineeringNorthumbria UniversityNewcastle Upon Tyne NE18STUK College of Materials Science and Engineering Taiyuan University of Science and TechnologyTaiyuan 030024China Department of Electrical Engineering Faculty of EngineeringNajran UniversityNajran11001Saudi Arabia

Structural optimization of ionomers is an effective strategy for achieving high-performance proton ex-change membranes(PEMs)under low relative humidity(RH)*** this study,sulfonimide group and trifluoromethanesulfonate acid(TFSA)ionic liquids were introduced to the perfluorosulfonic acid(PFSA)side chain,resulting in polymer membranes with varying chain lengths(i.e.,PFC_(2)-TF-SI,PFC_(4)-TF-SI,and PFC_(5)-TF-SI).This dual proton-conducting structure extended the length of the hydrophilic side chain and enhanced the hydrophobic-hydrophilic phase separation,aiding in the formation of proton transport ***,the proton conductivity of PFC_(5)-TF-SI and PFC_(2)-TF-SI membranes reached 7.1 and 10.6 mS/cm at 30%RH and 80℃,respectively,which were approximately 29.1%and 92.7%higher than that of the pristine PFC_(5)-SA membrane(5.5 mS/cm).Furthermore,the maximum power density of the PFC_(5)-TF-SI and PFC_(2)-TF-SI membranes from the built single fuel cell achieved 649 and 763 mW/cm^(2) at 30%RH and 80℃,respectively,which were higher than that of the pristine PFC_(5)-SA membrane(567 mW/cm^(2))by about 14.5%and 34.6%,***,this study provides a strategy for PEM design under low RH conditions.

关键词： Proton exchange membrane Structural design Dual proton conduction Hydrophilic channel Proton conductivity Fuel cells

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Perspectives and clinical practices of optometrists in Saudi Arabia concerning myopia in children

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International Journal of Ophthalmology(English edition) 2023年第2期16卷 267-273页

作者： Muteb k.alanazi Essam S.Almutleb Yousef S.Badawood Mohammed A.kudam Maria Liu Optometry Department College of Applied Medical SciencesKing Saud UniversityRiyadh 11362Saudi Arabia UC Berkeley School of Optometry Berkeley 94720CaliforniaUnited States

AIM:To investigate the practice patterns of optometrists in Saudi Arabia regarding myopia ***:An internet-based survey was distributed to all practicing optometrists in Saudi Arabia(n=1886).The survey contained questions related to 1)demographics,2)knowledge about myopia and its associated complications,3)current clinical care,4)type and frequency of myopia treatment prescribed,and 5)potential barriers limiting treatment ***:The completed surveys were collected from 171 optometrists(9.06%response rate,60%male).knowledge regarding myopia-associated complications was prevalent but somewhat inaccurate among the *** refraction at initial visit was used by 59%of the *** cover test was the most reported binocular vision test(83%),and 38%of optometrists did not perform any ocular *** prescribed single-vision spectacles for children with *** time spent outdoors was selected by 80%of the practitioners who prescribed myopia control treatment as the primary *** support and lack of clinical experience in providing myopia treatment were reported as the most important factors limiting the adoption of myopia management ***:The current optometric practices in Saudi Arabia require further *** appear to be somewhat aware of myopia and the associated ***,most evidence-based myopia treatments are not being locally adopted,primarily because of lack of support,lack of experience,and limited availability.

关键词： myopia myopia management optometry clinical practice Saudi Arabia

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Generic sensor platform based on electro- responsive molecularly imprinted polymer nanoparticles (e-NanoMIPs)

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Microsystems & Nanoengineering 2020年第1期6卷 266-274页

作者： A.Garcia-Cruz O.S.Ahmad k.alanazi E.Piletska S.A.Piletsky School of Chemistry University of LeicesterLeicesterUK

The present research describes the design of robust electrochemical sensors based on electro-responsive molecularly imprinted polymer nanoparticles(e-MIPs).The e-MIPs,tagged with a redox probe,combine both recognition and reporting *** system replaces enzyme-mediator pairs used in traditional *** analyte recognition process relies on the generic actuation phenomenon when the polymer conformation of e-MIPs is changing in response to the presence of the template *** analyte concentration is measured using voltammetric *** an exemplification of this technology,electrochemical sensors were developed for the determination of concentrations of trypsin,glucose,paracetamol,C4-homoserine lactone,and *** present technology allows for the possibility of producing generic,inexpensive,and robust disposable sensors for clinical,environmental,and forensic applications.

关键词： functions. methods. polymer

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An Optimal Scheme for WSN Based on Compressed Sensing

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Computers, Materials & Continua 2022年第7期72卷 1053-1069页

作者： Firas Ibrahim AlZobi Ahmad Ali AlZubi kulakov Yurii abdullah Alharbi Jazem Mutared alanazi Sami Smadi Department of Information Systems and Networks Faculty of Information TechnologyThe World Islamic Sciences&Education UniversityJordan Computer Science Department Community CollegeKing Saud UniversitySaudi Arabia Department of Computer Engineering National Technical University of Ukraine Igor Sikorsky Kyiv Polytechnic InstituteUkraine

Wireless sensor networks(WSNs)is one of the renowned ad hoc network technology that has vast varieties of applications such as in computer networks,bio-medical engineering,agriculture,industry and many *** has been used in the internet-of-things(IoTs)applications.A method for data collecting utilizing hybrid compressive sensing(CS)is developed in order to reduce the quantity of data transmission in the clustered sensor network and balance the network *** cluster head nodes are chosen first from each temporary cluster that is closest to the cluster centroid of the nodes,and then the cluster heads are selected in order based on the distance between the determined cluster head node and the undetermined candidate cluster head ***,each ordinary node joins the cluster that is nearest to *** greedy CS is used to compress data transmission for nodes whose data transmission volume is greater than the threshold in a data transmission tree with the Sink node as the root node and linking all cluster head *** simulation results demonstrate that when the compression ratio is set to ten,the data transfer volume is reduced by a factor of *** compared to clustering and SPT without CS,it is reduced by 75%and 65%,*** compared to SPT with Hybrid CS and Clustering with hybrid CS,it is reduced by 35%and 20%,*** and SPT without CS are compared in terms of node data transfer volume standard *** with Hybrid CS and clustering with Hybrid CS were both reduced by 62%and 80%,*** compared to SPT with hybrid CS and clustering with hybrid CS,the latter two were reduced by 41%and 19%,respectively.

关键词： Compressed sensing computer networks sensor networks ad hoc networks

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Hybrid Malware Variant Detection Model with Extreme Gradient Boosting and Artificial Neural Network Classifiers

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Computers, Materials & Continua 2023年第9期76卷 3483-3498页

作者： Asma A.Alhashmi Abdulbasit A.Darem Sultan M.alanazi abdullah M.Alashjaee Bader Aldughayfiq Fuad A.Ghaleb Shouki A.Ebad Majed A.alanazi Department of Computer Science Northern Border UniversityArar9280Saudi Arabia Department of Computer Sciences Faculty of Computing and Information TechnologyNorthern Border UniversityRafha91911Saudi Arabia Department of Information Systems College of Computer Science and InformationJouf UniversitySakakaAljoufSaudi Arabia School of Computing University Teknologi Malaysia81310 UTM Johor BahruJohor81310Malaysia Department of Computer and Electronic Engineering Sana’a Community CollegeSana’a5695Yemen

In an era marked by escalating cybersecurity threats,our study addresses the challenge of malware variant detection,a significant concern for amultitude of sectors including petroleum and mining *** paper presents an innovative Application Programmable Interface(API)-based hybrid model designed to enhance the detection performance of malware *** model integrates eXtreme Gradient Boosting(XGBoost)and an Artificial Neural Network(ANN)classifier,offering a potent response to the sophisticated evasion and obfuscation techniques frequently deployed by malware *** model’s design capitalizes on the benefits of both static and dynamic analysis to extract API-based features,providing a holistic and comprehensive view of malware *** these features,we construct two XGBoost predictors,each of which contributes a valuable perspective on the malicious activities under *** outputs of these predictors,interpreted as malicious scores,are then fed into an ANN-based classifier,which processes this data to derive a final *** strength of the proposed model lies in its capacity to leverage behavioral and signature-based features,and most importantly,in its ability to extract and analyze the hidden relations between these two types of *** efficacy of our proposed APIbased hybrid model is evident in its performance *** outperformed other models in our tests,achieving an impressive accuracy of 95%and an F-measure of 93%.This significantly improved the detection performance of malware variants,underscoring the value and potential of our approach in the challenging field of cybersecurity.

关键词： API-based hybrid malware detection model static and dynamic analysis malware detection

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Comprehensive analysis of multiple machine learning techniques for rock slope failure prediction

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Journal of Rock Mechanics and Geotechnical Engineering 2024年第11期16卷 4386-4398页

作者： Arsalan Mahmoodzadeh Abed alanazi Adil Hussein Mohammed Hawkar Hashim Ibrahim abdullah Alqahtani Shtwai Alsubai Ahmed Babeker Elhag Department of Civil Engineering University of HalabjaHalabjaKurdistan Region46018Iraq Department of Computer Science College of Computer Engineering and Sciences in Al-KharjPrince Sattam bin Abdulaziz UniversityP.O.Box 151Al-Kharj11942Saudi Arabia Department of Communication and Computer Engineering Faculty of EngineeringCihan University-ErbilKurdistan RegionIraq Department of Civil Engineering College of EngineeringSalahaddin University-Erbil44002ErbilKurdistan RegionIraq Software Engineering Department College of Computer Engineering and SciencesPrince Sattam bin Abdulaziz UniversityP.O.Box 151Al-Kharj11942Saudi Arabia Department of Civil Engineering College of EngineeringKing Khalid UniversityAbha61413Saudi Arabia

In this study,twelve machine learning(ML)techniques are used to accurately estimate the safety factor of rock slopes(SFRS).The dataset used for developing these models consists of 344 rock slopes from various open-pit mines around Iran,evenly distributed between the training(80%)and testing(20%)*** models are evaluated for accuracy using Janbu's limit equilibrium method(LEM)and commercial tool GeoStudio *** assessment metrics show that the random forest model is the most accurate in estimating the SFRS(MSE=0.0182,R2=0.8319)and shows high agreement with the results from the LEM *** results from the long-short-term memory(LSTM)model are the least accurate(MSE=0.037,R2=0.6618)of all the models ***,only the null space support vector regression(NuSVR)model performs accurately compared to the practice mode by altering the value of one parameter while maintaining the other parameters *** is suggested that this model would be the best one to use to calculate the SFRS.A graphical user interface for the proposed models is developed to further assist in the calculation of the SFRS for engineering *** this study,we attempt to bridge the gap between modern slope stability evaluation techniques and more conventional analysis methods.

关键词： Rock slope stability Open-pit mines Machine learning(ML) Limit equilibrium method(LEM)

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Green synthesis,characterization,acaricidal,larvacidal,and repellent activities of copper nanoparticles of Astragalus sinicus against Hyalomma anatolicum

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Asian Pacific Journal of Tropical Biomedicine 2023年第6期13卷 250-257页

作者： Hattan S.Gattan Bassam M.Al-Ahmadi abdullah F.Shater Qais A.H.Majeed Maha S.Alazemi abdullah D alanazi Department of Medical Laboratory Sciences Faculty of Applied Medical SciencesKing Abdulaziz UniversityJeddahSaudi Arabia Special Infectious Agents UnitKing Fahad Medical Research CenterJeddahSaudi Arabia Department of Biology Faculty of ScienceTaibah UniversitySaudi Arabia Department of Medical Laboratory Technology Faculty of Applied Medical SciencesUniversity of TabukTabuk 71491Saudi Arabia Department of Science College of Basic EducationPAAETPost code 23167AridiyaKuwait Department of Biological Sciences Faculty of Science and HumanitiesShaqra UniversityP.O.Box 1040Ad-Dawadimi 11911Saudi Arabia

Objective:To green synthesize and characterize copper nanoparticles(Cu NPs)using Astragalus sinicus,as well as evaluate the acaricidal,larvacidal,and repellent activities of Cu NPs against Hyalomma anatolicum(***),one of the most prevalent ticks infesting cattle in Saudi ***:Cu NPs were green synthesized by adding the Astragalus sinicus extract to a copper sulfate *** acaricidal,larvicidal,and repellent activities of Cu NPs against *** were assessed via the adult immersion test,the larval packet test,and the vertical movement behavior of tick larvae,*** effects of Cu NPs on acetylcholinesterase as well as oxidative enzyme activities were ***:The green synthesized Cu NPs displayed a spherical form with a size range of 15-75 *** exposure of adult *** to different concentrations of Cu NPs,the viability rate of adult *** and the mean number,weight,and hatchability of eggs were noticeably reduced,in comparison to the control group(Pkedly suppressed the acetylcholinesterase activity of the larval stage of ***(P<0.001).Moreover,Cu NPs,mainly at LC_(50)dose,significantly elevated malondialdehyde level while declining glutathione-S-transferase level in *** larvae(P<0.001).Conclusions:Cu NPs show potent acaricidal,larvicidal,and repellent activities against adults and larvae of ***,further studies must be performed to clarify the precise mechanisms and the efficacy of Cu NPs in practical use.

关键词： Insecticide Tick Pesticide Astragalus sinicus Nanomedicine Hyalomma anatolicum Acaricidal activity Larvacidal activity

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Anomaly Detection for Industrial Internet of Things Cyberattacks

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Computer Systems Science & Engineering 2023年第3期44卷 2361-2378页

作者： Rehab alanazi Ahamed Aljuhani College of Computing and Information Technology University of TabukTabuk71491Saudi Arabia

The evolution of the Internet of Things(IoT)has empowered modern industries with the capability to implement large-scale IoT ecosystems,such as the Industrial Internet of Things(IIoT).The IIoT is vulnerable to a diverse range of cyberattacks that can be exploited by intruders and cause substantial reputational andfinancial harm to *** preserve the confidentiality,integrity,and availability of IIoT networks,an anomaly-based intrusion detection system(IDS)can be used to provide secure,reliable,and efficient IIoT *** this paper,we propose an anomaly-based IDS for IIoT networks as an effective security solution to efficiently and effectively overcome several IIoT *** proposed anomaly-based IDS is divided into three phases:pre-processing,feature selection,and *** the pre-processing phase,data cleaning and nor-malization are *** the feature selection phase,the candidates’feature vectors are computed using two feature reduction techniques,minimum redun-dancy maximum relevance and neighborhood components *** thefinal step,the modeling phase,the following classifiers are used to perform the classi-fication:support vector machine,decision tree,k-nearest neighbors,and linear discriminant *** proposed work uses a new data-driven IIoT data set called *** experimental evaluation demonstrates our proposed model achieved a high accuracy rate of 99.58%,a sensitivity rate of 99.59%,a specificity rate of 99.58%,and a low false positive rate of 0.4%.

关键词： Anomaly detection anomaly-based IDS Industrial Internet of Things(IIoT) IoT industrial control systems(ICSs) X-IIoTID

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Performance Analysis of Intelligent Neural-Based Deep Learning System on Rank Images Classification

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Computer Systems Science & Engineering 2023年第11期47卷 2219-2239页

作者： Muhammad Hameed Siddiqi Asfandyar khan Muhammad Bilal khan abdullah khan Madallah Alruwaili Saad alanazi College of Computer and Information Sciences Jouf UniversitySakakaAljouf73211Kingdom of Saudi Arabia Institute of Computer Science and Information Technology ICS/IT FMCSUniversity of AgriculturePeshawar25000Pakistan

The use of the internet is increasing all over the world on a daily basis in the last two *** increase in the internet causes many sexual crimes,such as sexual misuse,domestic violence,and child *** research has been done for pornographic image detection and *** of the used models used machine learning techniques and deep learning models which show less accuracy,while the deep learning model ware used for classification and detection performed better as compared to machine ***,this research evaluates the performance analysis of intelligent neural-based deep learning models which are based on Convolution neural network(CNN),Visual geometry group(VGG-16),VGG-14,and Residual Network(ResNet-50)with the expanded dataset,trained using transfer learning approaches applied in the fully connected layer for datasets to classify rank(Pornographic ***)classification in *** simulation result shows that VGG-16 performed better than the used model in this study without augmented *** VGG-16 model with augmented data reached a training and validation accuracy of 0.97,0.94 with a loss of 0.070,*** precision,recall,and f-measure values for explicit and non-explicit images are(0.94,0.94,0.94)and(0.94,0.94,0.94).Similarly,The VGG-14 model with augmented data reached a training and validation accuracy of 0.98,0.96 with a loss of 0.059,*** f-measure,recall,and precision values for explicit and non-explicit images are(0.98,0.98,0.98)and(0.98,0.98,0.98).The CNN model with augmented data reached a training and validation accuracy of 0.776&0.78 with losses of 0.48&*** f-measure,recall,and precision values for explicit and non-explicit images are(0.80,0.80,0.80)and(0.78,0.79,0.78).The ResNet-50 model with expanded data reached with training accuracy of 0.89 with a loss of 0.389 and 0.86 of validation accuracy and a loss of *** f-measure,recall,and precision values for explicit and non-explicit

关键词： VGG-16 VGG-14 pornography detection expansion ResNet-50 convolution neural network(CNN) machine learning

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