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Journal of materials science & Technology 2012年第11期28卷 961-968页

作者： m. mekewi Ahmed shebl A.I. Imam m.s. amin T. Albert Chem.s.ry Department Faculty of Science Ain Shams University Plants Protection Department Desert Research Center

Nano zinc oxide （ZnO） is a very useful and important material in many industrial and biological applications. In the present work, ZnO was synthesized by post thermal degradation of the precursor ＂zinc acetate di-hydrate＂ templated in crosslinked polyacrylic acid （PAA）. The crosslinked PAA template was prepared through an in-situ polymerization process adopted in presence of ammonium per sulphate, as an initiator, and N, Nt- methylene bis-acrylamide as the crosslinker. Variation of preparation parameters and their impact on the oxide stoichiometry, crystal structure, crystallite size and surface texture of the oxide were investigated. Energy dispersive X-ray technique （EDX）, X-ray diffraction （XRD） and scanning electron microscopy （sEm） were convincingly used to reveal the oxide structural features and characteristics. The performed bioassay tests indicated the efficacy of this method of preparation to produce nano ZnO with novel insecticidal activity against the greater wax moth, Galleria rnellonella.

关键词： Nano ZnO in-situ polymerization Polymer template Insecticide Bioassay Galleria mellonella

Tuning structural,electrical,dielectric and magnetic properties of mg-Cu-Co ferrites via dysprosium(Dy^(3+))doping

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Journal of Rare Earths 2024年第1期42卷 137-146,I0005页

作者： maria Akhtar m.s.Hasan Nasir amin N.A.morley muhammad Imran Arshad Department of Physics Government College UniversityFaisalabad38000Pakistan Department of Physics The University of Lahore53700Pakistan Department of materials science and Engineering The University of SheffieldS13JDUK Department of Physics&Astronomy University College LondonUK

In current research work,Dy3+substituted mg0.5Cu0.25Co0.25Fe2-xDyxO4(0.0≤x≤0.04 with the step interval of 0.01)soft ferrites were synthesized by the sol-gel auto combustion *** prepared samples were characterized by the techniques using X-ray diffraction(XRD),scanning electron microscopy(sEm),energy dispersive X-ray spectroscopy(EDs),Fourier transform infrared(FTIR)spectroscopy,curre nt-voltage(Ⅰ-Ⅴ)measurement,LCR meter,vibrating sample magnetometer(Vsm)and *** data reveal that the average crystallite size is 49.71 nm and the lattice constant is 0.83703 nm for sample x=*** non-uniform grain growth was demonstrated by micrographs and impurity-free elemental composition was observed from EDX *** DC resistivity has an increasing and decreasing trend in ferromagnetic and paramagnetic regions with an increase in ***,the high resistivity is observed with the order of 1010Ω·cm,and the activation energy is 0.944 eV for samples x=*** dielectric parameters including dielectric constant,dielectric losses,and impedance gradually decrease with the increase in frequency from 8 Hz to 8 *** minimum dielectric loss at high frequency is found for sample x=*** coercivity(Hc)and saturation magnetization(ms)are found in the ranges of 520.82-544.02 Oe and 20.5841-21.1473 emu/g,*** observations confirm that dysprosium(x=0.03)doped mCC-soft ferrites may be applicable in transformer cores,microwave absorbance,and telecommunication devices.

关键词： soft ferrites DC resistivity Dielectric loss Impedance Coercivity Rare earths

Dust particle surface potential in an argonhelium plasma using the(r,q)-distribution function

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Communications in Theoretical Physics 2024年第9期76卷 141-148页

作者： Bahaaudin m Raffah A A Abid Abdullah Khan amin Esmaeili Yas Al-Hadeethi m N s Qureshi Department of Physics Faculty of SciencesKing Abdulaziz UniversityJeddah 21589Saudi Arabia Lithography in Devices Fabrication and Development Research Group Deanship of Scientific ResearchKing Abdulaziz UniversityJeddah 21589Saudi Arabia Joint Laboratory of Plasma Application Technology Institute of Advanced TechnologyUniversity of Science and Technology of ChinaHefei230026China CAs Key Laboratory of Geospace Environment University of Science and Technology of ChinaHefei230026China Department of Physics Zhejiang Normal UniversityJinhua321005China Department of Physics Graduate School of ScienceTokyo Metropolitan UniversityMinami-Osawa 1-1Hachioji City192-0397Japan Department of Physics GC UniversityLahore 54000Pakistan

In this paper,the dust particle surface potential for argon-helium plasma is evaluated analytically and numerically in the context of negatively charged dust particles by employing a power-law(r,q)-distribution *** studies have reported the argon-helium plasma and conducted a brief theoretical and experimental *** deepen our understanding further,this study aims to analyze the argon-helium plasma comprehensively using the same pattern but with the(r,q)-distribution *** this purpose,the current balance equations are derived for electron,helium and argon ions,when these charge species attain the quasineutrality *** numerically examined the currents of plasma species for a broad range of effective distribution function parameters r and *** is revealed that the surface potential of dust particles is significantly affected by the parameters r and q,helium ion-to-electron temperature ratio,argon ion-to-electron temperature ratio,and helium ion to argon ion number density *** incorporating the multi-ion(argon-helium.s.ecies,the significance of low-temperature nonmaxwellian dusty(complex)plasma is briefly examined.

关键词： dusty plasma dust charge potential plasma physics helium argon plasma r q distribution function non-maxwellian distribution

metabolomics for quality assessment of poultry meat and eggs

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Food Quality and safety 2024年第1期8卷 27-40页

作者： m.s.Yogeswari Jinap selamat Nuzul Noorahya Jambari Alf Khatib mohd Hishammfariz mohd amin suganya murugesu Laboratory of Food safety and Food Integrity Institute of Tropical Agriculture and Food SecurityUniversiti Putra MalaysiaSerdangSelangor Darul EhsanMalaysia Department of Food science Faculty of Food Science and TechnologyUniversiti Putra MalaysiaSerdangSelangor Darul EhsanMalaysia Department of Pharmaceutical Chem.s.ry Kulliyyah of PharmacyInternational Islamic University MalaysiaKuantanPahang Darul MakmurMalaysia Faculty of Pharmacy Airlangga UniversitySurabayaIndonesia Department of Veterinary service malaysia Federal Government Administration CentrePutrajayaMalaysia

The poultry industry is experiencing rapid growth *** accelerated growth has led to multiple food fraud incidents across the food supply chain,which consequently created a demand for precise determination of quality poultry *** increase in demand for precise poultry production quality has necessitated advanced *** has emerged as a viable solution by offering detailed differentiation of biochemical indicators throughout the poultry supply ***,this study provides a means to address risk factors affecting the poultry industry without comprom.s.ng animal welfare,which is a critical *** review focuses on important issues related to poultry product quality *** adulteration has escalated in recent years as it is driven by the increasing focus on consuming high-quality and nutritious ***,there is no specifc guideline for such determinations,especially when appearance,texture,and taste can be manipulated by substituting for food *** can pave the way for a deeper understanding of existing and novel biochemical indicators responsible for determining the quality of poultry meat and *** approach holds the potential to enhance the overall quality of poultry meat and egg products while also preventing food fraud.

关键词： Poultry metabolomics welfare application authentication.

Analysis and modeling of mobile Phone Activity Data Using Interactive Cyber-Physical social system

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Computers, materials & Continua 2024年第9期80卷 3507-3521页

作者： Farhan amin Gyu sang Choi school of Computer science and Engineering Yeungnam UniversityGyeongsan38541Republic of Korea

mobile networks possess significant information and thus are considered a gold mine for the researcher’s *** call detail records(CDR)of a mobile network are used to identify the network’s efficacy and the mobile user’s *** is evident from the recent literature that cyber-physical systems(CPs)were used in the analytics and modeling of telecom *** addition,CPs is used to provide valuable services in smart *** general,a typical telecom company hasmillions of subscribers and thus generatesm.s.ive amounts of *** this aspect,data storage,analysis,and processing are the key *** solve these issues,herein we propose a multilevel cyber-physical social system(CPss)for the analysis and modeling of large internet *** proposed multilevel system has three levels and each level has a specific ***,raw Call Detail Data(CDR)was collected at the first ***,the data preprocessing,cleaning,and error removal operations were *** the second level,data processing,cleaning,reduction,integration,processing,and storage were ***,suggested internet activity record measures were *** proposed system initially constructs a graph and then performs network *** proposed CPss system accurately identifies different areas of internet peak usage in a city(milan city).Our research is helpful for the network operators to plan effective network configuration,management,and optimization of resources.

关键词： Cyber-physical social systems big data cyber-physical systems pervasive computing smart city big data management techniques

Video summarization Approach Based on Binary Robust Invariant scalable Keypoints and Bisecting K-means

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Computers, materials & Continua 2024年第3期78卷 3565-3583页

作者： sameh Zarif Eman morad Khalid amin Abdullah Alharbi Wail s.Elkilani shouze Tang Department of Information Technology Faculty of Computers and InformationMenoufia UniversityMenoufia32511Egypt Department of Artificial Intelligence Faculty of Artificial IntelligenceEgyptian Russian UniversityBader11829Egypt Department of Computer science Community CollegeKing Saud UniversityRiyadh11362Saudi Arabia College of Applied Computer science King Saud UniversityAl-Muzahmiya19676Saudi Arabia school of Communication and Information Engineering Chongqing University of Posts and TelecommunicationsChongqing400065China

Due to the exponential growth of video data,aided by rapid advancements in multimedia *** became difficult for the user to obtain information from a large video *** process of providing an abstract of the entire video that includes the m.s. representative fram.s.is known as static video *** method resulted in rapid exploration,indexing,and retrieval of m.s.ive video *** propose a framework for static video summary based on a Binary Robust Invariant scalable Keypoint(BRIsK)and bisecting K-means clustering *** current method effectively recognizes relevant fram.s.using BRIsK by extracting keypoints and the descriptors from video *** video fram.s.BRIsK features are clustered using a bisecting K-means,and the keyframe is determined by selecting the frame that is m.s. near the cluster *** applying any clustering parameters,the appropriate clusters number is determined using the silhouette *** were carried out on a publicly available open video project(OVP)dataset that contained videos of different *** proposed method’s effectiveness is compared to existing methods using a variety of evaluation metrics,and the proposed method achieves a trade-off between computational cost and quality.

关键词： BRIsK bisecting K-mean video summarization keyframe extraction shot detection

Dual PPAR delta/gamma agonist offer therapeutic potential for Alzheimer's disease

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Neural Regeneration Research 2024年第6期19卷 1175-1176页

作者： Ian steinke meenakshi singh Rajesh amin Department of Drug Discovery and Development Auburn UniversityAuburn AlabamaALUSA

The increasing incidence of Alzheimer's disease(AD)in the aging population,indicates the critical need for the development of novel targeted molecular therapies for ameliorating AD ***,clinical and preclinical evidence demonstrates that peroxisomal proliferator activating receptors(PPAR)agonists regulate energy and lipid homeostasis in models of diabetes,as well as improve spatial memory in animal models of AD(Khan et al.,2019).

关键词： Alzheimer clinical homeostasis

Three-dimensional seismic face stability of shield tunnels inundrained clay

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Underground space 2024年第2期15卷 26-43页

作者： milad Davoodi salvador senent amin Keshavarz Rafael Jimenez Civil Engineering Department School of EngineeringPersian Gulf UniversityBushehr ***Iran Universidad Polite´cnica de madrid C/Prof.Aranguren s/nMadrid 28040Spain

Tunnel face stability has received increasing research interest over the past few decades. However, computing time-efficient and safethree-dimensional solutions under seismic loading is still an unsolved problem, while case studies indicate that seismic loading can be onecritical destabilizing factor affecting tunnel stability. The primary objective of this work is to fill this gap in knowledge by providing comprom.s.ngand computationally efficient solutions, along with their respective lower and upper bounds, to compute face stability underseismic conditions. The analyses employ the finite element limit analysis method to evaluate the limit support pressure in undrained clay,considering horizontal pseudo-static seismic forces pointing outwards from the face. moreover, the analyses employ both constant andlinearly increasing shear strengths with depth. The results are summarized as dimensionless stability charts and tables to facilitate theirinterpretation and future use for tunnel design. A new design equation has been developed to evaluate the stability of the tunnel faceconsidering the effect of seismic forces. Additionally, the effects of different parameters on the shape of the failure mechanism have beeninvestigated by analysing the distribution of shear dissipation.

关键词： Tunnel face stability Finite element limit analysis Undrained clay seismic stability

Network security Enhanced with Deep Neural Network-Based Intrusion Detection system

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Computers, materials & Continua 2024年第7期80卷 1457-1490页

作者： Fatma s.Alrayes mohammed Zakariah syed Umar amin Zafar Iqbal Khan Jehad saad Alqurni Information systems Department College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadh11671Saudi Arabia College of Computer and Information sciences King Saud UniversityRiyadh11362Saudi Arabia College of Computer and Information sciences Prince Sultan UniversityRiyadh11586Saudi Arabia Department of Educational Technologies College of EducationImam Abdulrahman Bin Faisal UniversityP.O.Box 1982Dammam31441Saudi Arabia

This study describes improving network security by implementing and assessing an intrusion detection system(IDs)based on deep neural networks(DNNs).The paper investigates contemporary technical ways for enhancing intrusion detection performance,given the vital relevance of safeguarding computer networks against harmful *** DNN-based IDs is trained and validated by the model using the NsL-KDD dataset,a popular benchmark for IDs *** model performs well in both the training and validation stages,with 91.30%training accuracy and 94.38%validation ***,the model shows good learning and generalization capabilities with minor losses of 0.22 in training and 0.1553 in ***,for both macro and micro averages across class 0(normal)and class 1(anomalous)data,the study evaluates the model using a variety of assessment measures,such as accuracy scores,precision,recall,and F1 *** macro-average recall is 0.9422,the macro-average precision is 0.9482,and the accuracy scores are ***,macro-averaged F1 scores of 0.9245 for class 1 and 0.9434 for class 0 demonstrate the model’s ability to precisely identify anomalies *** research also highlights how real-time threat monitoring and enhanced resistance against new online attacks may be achieved byDNN-based intrusion detection systems,which can significantly improve network *** study underscores the critical function ofDNN-based IDs in contemporary cybersecurity procedures by setting the foundation for further developments in this *** research aims to enhance intrusion detection systems by examining cooperative learning techniques and integrating up-to-date threat knowledge.

关键词： machine-Learning Deep-Learning intrusion detection system security privacy deep neural network NsL-KDD Dataset

CNN Channel Attention Intrusion Detection system.s.ng NsL-KDD Dataset

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Computers, materials & Continua 2024年第6期79卷 4319-4347页

Intrusion detection systems(IDs)are essential in the field of cybersecurity because they protect networks from a wide range of online *** goal of this research is to meet the urgent need for small-footprint,highly-adaptable Network Intrusion Detection systems(NIDs)that can identify *** NsL-KDD dataset is used in the study;it is a sizable collection comprising 43 variables with the label’s“attack”and“level.”It proposes a novel approach to intrusion detection based on the combination of channel attention and convolutional neural networks(CNN).Furthermore,this dataset makes it easier to conduct a thorough assessment of the suggested intrusion detection ***,maintaining operating efficiency while improving detection accuracy is the primary goal of this ***,typical NIDs examines both risky and typical behavior using a variety of *** the NsL-KDD dataset,our CNN-based approach achieves an astounding 99.728%accuracy rate when paired with channel *** to previous approaches such as ensemble learning,CNN,RBm(Boltzmann machine),ANN,hybrid auto-encoders with CNN,mCNN,and ANN,and adaptive algorithms,our solution significantly improves intrusion detection ***,the results highlight the effectiveness of our suggested method in improving intrusion detection precision,signifying a noteworthy advancement in this *** efforts will focus on strengthening and expanding our approach in order to counteract growing cyberthreats and adjust to changing network circumstances.

关键词： Intrusion detection system(IDs) NsL-KDD dataset deep-learning machine-learning CNN channel Attention network security