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Effect of rare earth Nd^(3+)doping contents on physical,structural,and magnetic properties of Co-Ni spinel ferrite nanoparticles

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Journal of Rare Earths 2023年第11期41卷 1746-1753,I0004页

作者： Junjiao Li Muhammad Yousaf Qaisar Hayat Muhammad Akbar asma Noor MAK Yousaf Shah Fenghua Qi Yuzheng Lu Department of Electronic and Engineering Nanjing Vocational Institute of Mechatronic TechnologyNanjing211306China Energy Storage Joint Research Centre School of Energy and EnvironmentSoutheast UniversityNanjing210096China Shenzhen Key Laboratory of Laser Engineering Guangdong Provincial Key Laboratory of Micro/Nano Optomechatronics EngineeringCollege of Physics and Optoelectronic EngineeringShenzhen UniversityShenzhen518060China Hubei Collaborative Innovation Centre for Advanced Organic Chemical Materials Faculty of Physics and Electronic ScienceHubei UniversityWuhan430062China College of Electronic and Engineering Nanjing Xiaozhuang UniversityNanjing211171China

Rare earth(RE)low doping has a significant influence on the structural,morphological,and magnetic properties of spinel ferrite ***,rare earth neodymium(Nd)oxide was fully doped into spinel ferrite with a composition of Co_(0.80)Ni_(0.20)Nd_xFe_(2-x)O_4(x=0.0,0.05,0.10,and 0.15)using the sol-gel auto combustion *** analysis of the synthesized samples with low doping of Nd using X-ray diffraction(XRD)and Rietveld refinements reveals a pure single-phase cubic structure,while the second phase appears with increasing content of Nd^(3+)at x=0.10 and *** electron microscopy(SEM)and high-resolution transmission electron microscopy(HR-TEM)show well-shaped spherical grains within the nanometer range of the pure Co_(0.80)Ni_(0.20)Fe_(2)O_(4) sample,while larger grains with the presence of agglomeration are observed with doping of Nd^(3+)into the spinel ferrite *** magnetic parameters,i.e.,saturation magnetization M_s,remanence and magnetic moments exhibit decreasing trend with Nd^(3+)doping and M_s values are in 65.69 to 53.34 emu/g *** coercivity of the Nd-doped Co-Ni spinel ferrite sample was calculated to be 1037.76 to~827.24 *** work demonstrates remarkable improvements in the structural and magnetic characteristics of Nddoped Co-Ni spinel ferrite nanoparticles for multiple versatile applications.

关键词： Co-Ni spinel ferrites Rare earth Nd^(3+)doping Structural analysis Magnetic evaluations

Smart MobiNet:A Deep Learning Approach for Accurate Skin Cancer Diagnosis

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Computers, Materials & Continua 2023年第12期77卷 3533-3549页

作者： Muhammad Suleman Faizan Ullah Ghadah Aldehim Dilawar Shah Mohammad Abrar asma Irshad Sarra Ayouni Department of Computer Science Bacha Khan UniversityCharsaddaPakistan Department of Information Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Faculty of Computer Studies Arab Open UniversityMuscatOman School of Biochemistry and Biotechnology University of the PunjabLahorePakistan

The early detection of skin cancer,particularly melanoma,presents a substantial risk to human *** study aims to examine the necessity of implementing efficient early detection systems through the utilization of deep learning ***,the existing methods exhibit certain constraints in terms of accessibility,diagnostic precision,data availability,and *** address these obstacles,we put out a lightweight model known as Smart MobiNet,which is derived from MobileNet and incorporates additional distinctive *** model utilizes a multi-scale feature extraction methodology by using various convolutional *** ISIC 2019 dataset,sourced from the International Skin Imaging Collaboration,is employed in this *** data augmentation approaches are implemented to address the issue of model *** this study,we conduct experiments to evaluate and compare the performance of three different models,namely CNN,MobileNet,and Smart MobiNet,in the task of skin cancer *** findings of our study indicate that the proposed model outperforms other architectures,achieving an accuracy of ***,the model exhibits balanced precision,sensitivity,and F1 scores,all measuring at *** model serves as a vital instrument that assists clinicians efficiently and precisely detecting skin cancer.

关键词： Deep learning Smart MobiNet machine learning skin lesion melanoma skin cancer classification

Fe doping promoted electrocatalytic N2 reduction reaction of 2H MoS2

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Chinese Chemical Letters 2020年第9期31卷 2487-2490页

作者： Jiaojiao Guo Tsegaye Tadesse Tsega Ibrahim Ul Islam asma Iqbal Jiantao Zai Xuefeng Qian School of Chemistry and Chemical Engineering and State Key Laboratory of Metal Matrix Composites Shanghai Jiao Tong UniversityShanghai 200240China

Electrocatalytic N2 reduction to ammonia is a fascinating alternative to Haber-Bosch process and also considered as an energy sto rage *** work,Fe doped MoS2/carbon cloth(CC) has been studied on the electro-catalysis fix nitrogen indicating the doped Fe can indeed enhance the MoS2 material *** with MoS2/CC,Fe-Mo-S-3/CC not only increases 10 times in the rate of production ammonia,but also 5 times in Faraday efficiency.

关键词： 2H MoS2 Electrocatalytic N2 reduction reaction(NRR) Fe doping Ammonia

Applying Non-Local Means Filter on Seismic Exploration

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Computer Systems Science & Engineering 2022年第2期40卷 619-628页

作者： Mustafa Youldash Saleh Al-Dossary Lama AlDaej Farah AlOtaibi asma AlDubaikil Noora AlBinali Maha AlGhamdi College of Computer Science and Information Technology Imam Abdulrahman Bin Faisal UniversityDammamP.O.1982Saudi Arabia Geophysical Application Division Exploration Application Services DepartmentSaudi AramcoDhahranSaudi Arabia

The seismic reflection method is one of the most important methods in geophysical *** are three stages in a seismic exploration survey:acquisition,processing,and *** paper focuses on a pre-processing tool,the Non-Local Means(NLM)filter algorithm,which is a powerful technique that can significantly suppress noise in seismic ***,the domain of the NLM algorithm is the whole dataset and 3D seismic data being very large,often exceeding one terabyte(TB),it is impossible to store all the data in Random Access Memory(RAM).Furthermore,the NLM filter would require a considerably long *** factors make a straightforward implementation of the NLM algorithm on real geophysical exploration data *** paper redesigned and implemented the NLM filter algorithm to fit the challenges of seismic *** optimized implementation of the NLM filter is capable of processing production-size seismic data on modern clusters and is 87 times faster than the straightforward implementation of NLM.

关键词： Seismic exploration parallel programming seismic processing optimizing methods

Chemical Coupled PEDOT:PSS/Si Electrode: Suppressed Electrolyte Consumption Enables Long‑Term Stability

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Nano-Micro Letters 2021年第3期13卷 197-208页

作者： Xuejiao Liu Zhixin Xu asma Iqbal Ming Chen Nazakat Ali CheeTongJohn Low Rongrong Qi Jiantao Zai Xuefeng Qian School of Chemistry and Chemical Engineering and State Key Laboratory of Metal Matrix Composites Shanghai Electrochemical Energy Devices Research CenterShanghai Jiao Tong UniversityShanghai 200240P.R.China Warwick Electrochemical Engineering Group Energy Innovation CentreWMGUniversity of WarwickCoventry CV47ALUK

Huge volume changes of Si during lithiation/delithiation lead to regeneration of solid-electrolyte interphase(SEI)and consume *** this article,γ-glycidoxypropyl trimethoxysilane(GOPS)was incorporated in Si/PEDOT:PSS electrodes to construct a flexible and conductive artificial SEI,effectively suppressing the consumption of *** optimized electrode can maintain 1000 mAh g^−1 for nearly 800 cycles under limited electrolyte compared with 40 cycles of the electrodes without ***,the optimized electrode exhibits excellent rate *** use of GOPS greatly improves the interface compatibility between Si and PEDOT:*** Ar+etching depth analysis proved that the addition of GOPS is conducive to forming a more stable SEI.A full battery assembled with NCM 523 cathode delivers a high energy density of 520 Wh kg^−1,offering good stability.

关键词： Conductive binder PEDOT:PSS Cross-link XPS depth analysis Stable SEI Lithium-ion batteries

Crohn’s disease: Why the ileum?

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World Journal of Gastroenterology 2023年第21期29卷 3222-3240页

作者： Nicolas Richard Guillaume Savoye Mathilde Leboutte asma Amamou Subrata Ghosh Rachel Marion-Letellier University of Rouen Normandie INSERMADEN UMR 1073NutritionInflammation and Microbiota-Gut-Brain AxisRouen F-76000France CHU Rouen Department of GastroenterologyRouen University Hospital-Charles NicolleRouen F-76000France Institute for Research and Innovation in Biomedicine University of Rouen NormandieRouen F-76000France APC Microbiome Ireland Biosciences BuildingUniversity College CorkCork T12 YT20Ireland

Crohn’s disease(CD)is an inflammatory bowel disease characterized by immunemediated flares affecting any region of the intestine alternating with remission *** CD,the ileum is frequently affected and about one third of patients presents with a pure ileal ***,the ileal type of CD presents epidemiological specificities like a younger age at onset and often a strong link with smoking and genetic susceptibility *** of these genes are associated with Paneth cell dysfunction,a cell type found in the intestinal crypts of the ***,a Western-type diet is associated in epidemiological studies with CD onset and increasing evidence shows that diet can modulate the composition of bile acids and gut microbiota,which in turn modulates the susceptibility of the ileum to ***,the interplay between environmental factors and the histological and anatomical features of the ileum is thought to explain the specific transcriptome profile observed in CD ***,both immune response and cellular healing processes harbour differences between ileal and non-ileal *** together,these findings advocate for a dedicated therapeutic approach to managing ileal ***,interventional pharmacological studies have failed to clearly demonstrate distinct response profiles according to disease ***,the high rate of stricturing disease in ileal CD requires the identification of new therapeutic targets to significantly change the natural history of this debilitating disease.

关键词： Ileum Crohn’s disease Bile acids Paneth cells Diet Genetics Strictures

Privacy Protection with Dynamic Pseudonym-Based Multiple Mix-Zones Over Road Networks

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China Communications 2017年第4期14卷 89-100页

作者： Qasim Ali Arain Zhongliang Deng Imran memon asma Zubedi Jichao Jiao Aisha Ashraf Muhammad Saad Khan Beijing University of posts and Telecommunication Beijing China College of Computer Science Zhejiang University Hangzhou 310027 China Department of Software Engineering Mehran UET Jamshoro

In this research we proposed a strategy for location privacy protection which addresses the issues related with existing location privacy protection techniques. Mix-Zones and pseudonyms are considered as the basic building blocks for location privacy; however, continuously changing pseudonyms process at multiple locations can enhance user privacy. It has been revealed that changing pseudonym at improper time and location may threat to user's privacy. Moreover, certain methods related to pseudonym change have been proposed to attain desirable location privacy and most of these solutions are based upon velocity, GPS position and direction of angle. We analyzed existing methods related to location privacy with mix zones, such as RPCLP, EPCS and MODP, where it has been observed that these methods are not adequate to attain desired level of location privacy and suffered from large number of pseudonym changes. By analyzing limitations of existing methods, we proposed Dynamic Pseudonym based multiple mix zone(DPMM) technique, which ensures highest level of accuracy and privacy. We simulate our data by using SUMO application and analysis results has revealed that DPMM outperformed existing pseudonym change techniques and achieved better results in terms of acquiring high privacy with small number of pseudonym change.

关键词： road network multiple mix-zones location privacy

On Hiding Secret Information in Medium Frequency DCT Components Using Least Significant Bits Steganography

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Computer Modeling in Engineering & Sciences 2019年第3期118卷 529-546页

作者： Sahib Khan M A Irfan Arslan Arif Syed Tahir Hussain Rizvi asma Gul Muhammad Naeem Nasir Ahmad Department of Electronics and Telecommunications Politecnico di Torino10129 TorinoItaly Department of Computer Engineering University of LahorePakistan Department of Statistics Shaheed Benazir Bhutto Women University PeshawarPakistan Department of Computer Science University of PeshawarPakistan Department of Electronic and Electrical Engineering Loughborough UniversityUnited Kingdom

This work presents a new method of data hiding in digital images,in discrete cosine transform *** proposed method uses the least significant bits of the medium frequency components of the cover image for hiding the secret information,while the low and high frequency coefficients are kept *** unaltered low frequency DCT coefficients preserves the quality of the smooth region of the cover image,while no changes in the high DCT coefficient preserve the quality of the *** the medium frequency components have less contribution towards energy and image details,so the modification of these coefficients for data hiding results in high quality stego *** distortion due to the changes in the medium frequency coefficients is insignificant to be detected by the human visual *** proposed methods demonstrated a hiding capacity of 43:11%with the stego image quality of a peak signal to the noise ration of 36:3 dB,which is significantly higher than the threshold of 30 dB for a stego image *** proposed technique is immune to steganalysis and has proved to be highly secured against both spatial and DCT domain steganalysis techniques.

关键词： DCT steganography image processing information security data hiding steganalyisis

Machine Learning Empowered Security Management and Quality of Service Provision in SDN-NFV Environment

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Computers, Materials & Continua 2021年第3期66卷 2723-2749页

作者： Shumaila Shahzadi Fahad Ahmad asma Basharat Madallah Alruwaili Saad Alanazi Mamoona Humayun Muhammad Rizwan Shahid Naseem Department of Computer Sciences Kinnaird College for WomenLahore54000Pakistan College of Computer and Information Sciences Jouf UniversitySakaka72341Saudi Arabia Division of Computer Science&Information Technology University of EducationLahore54000Pakistan

With the rising demand for data access,network service providers face the challenge of growing their capital and operating costs while at the same time enhancing network capacity and meeting the increased demand for *** increase efficacy of Software Defined Network(SDN)and Network Function Virtualization(NFV)framework,we need to eradicate network security configuration errors that may create vulnerabilities to affect overall efficiency,reduce network performance,and increase maintenance *** existing frameworks lack in security,and computer systems face few abnormalities,which prompts the need for different recognition and mitigation methods to keep the system in the operational state *** fundamental concept behind SDN-NFV is the encroachment from specific resource execution to the programming-based *** research is around the combination of SDN and NFV for rational decision making to control and monitor traffic in the virtualized *** combination is often seen as an extra burden in terms of resources usage in a heterogeneous network environment,but as well as it provides the solution for critical problems specially regarding massive network traffic *** attacks have been expanding step by step;therefore,it is hard to recognize and protect by conventional *** overcome these issues,there must be an autonomous system to recognize and characterize the network traffic’s abnormal conduct if there is *** four types of assaults,including HTTP Flood,UDP Flood,Smurf Flood,and SiDDoS Flood,are considered in the identified dataset,to optimize the stability of the SDN-NFVenvironment and security management,through several machine learning based characterization techniques like Support Vector Machine(SVM),K-Nearest Neighbors(KNN),Logistic Regression(LR)and Isolation Forest(IF).Python is used for simulation purposes,including several valuable utilities like the mine package,the open-source Python ML libraries Scikit-lea

关键词： Software defined network network function virtualization machine learning support vector machine K-nearest neighbors logistic regression isolation forest anomaly detection attacks