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Influence of imidazolium ionic liquids as organic filler dispersant on electrical properties of chitin/epoxy composites

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High Voltage 2024年第4期9卷 930-938页

作者： Kai Yin Qihong Fan Jing Li Taqi ur rahman Tianyin Zhang Ashish Paramane Xiangrong Chen School of Information and Electrical Engineering Hangzhou City UniversityHangzhouChina College of Electrical Engineering Zhejiang UniversityHangzhouChina State Grid Tianjin Power Chengnan District Supply Company TianjinChina Electrical Engineering Department National Institute of TechnologySilcharAssamIndia

Ionic liquid(IL)as the dispersant can help disperse the organic nanofillers to improve the performance of epoxy resin ***,the effect of IL on the electrical properties of epoxy composites is not well *** comprehensive study consists of the preparation,material characterisation and systematical investigation of electrical properties of 1-Butyl-3-methylimidazole hexafluorophosphate-modified chitin fibre/epoxy *** findings show that introducing IL into a chitin/epoxy composite can minimise porosity defects and improve the compatibility between filler and ***,a high concentration of IL induces severe charge injection into chitin/epoxy composites and internal electric field *** addition of 0.75%–1.5%mass fraction IL results in maximum enhancement in the AC breakdown strength of the chitin/epoxy composite(by~71%)compared with the non-IL *** nonlinear conductivity and non-uniform charge injection phenomena of IL-modified composites can be attributed to the movement of radicals and anions due to the decomposition of *** this study,it is highly expected that the organic filler dispersion in the epoxy matrix can be optimised by tuning IL to improve the insulation properties.

关键词： composites composite filler

Effects of multiple shapes for steady flow with transformer oil+Fe_(3)O_(4)+TiO_(2) between two stretchable rotating disks

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Applied mathematics and mechanics(English Edition) 2024年第2期45卷 373-388页

作者： m.rahman m.TurKYILmAZOGLU Z.mUSHTAQ Department of mathematics Mirpur University of Science and TechnologyMirpur 10250Pakistan Department of mathematics Hacettepe UniversityBeytepeAnkara 06532Turkiye

In this study,we examine the effects of various shapes of nanoparticles in a steady flow of hybrid nanofluids between two stretchable rotating *** steady flow of hybrid nanofluids with transformer oil as the base fluid and Fe_(3)O_(4)+TiO_(2)as the hybrid nanofluid is *** shapes of Fe_(3)O_(4)+TiO_(2)hybrid nanofluids,including sphere,brick,blade,cylinder,and platelet,are *** shape exists in the same volume of a *** leading equations(partial differential equations(PDEs))are transformed to the nonlinear ordinary differential equations(ODEs)with the help of similarity *** system of equations takes the form of ODEs depending on the boundary conditions,whose solutions are computed numerically by the bvp4c mATLAB *** outputs are compared with the previous findings,and an intriguing pattern is discovered,such that the tangential velocity is increased for the rotation parameter,while it is decreased by the stretching values because of the lower *** the reaction rate parameter,the concentration boundary layer becomes shorter,and the activation energy component increases the rate at which mass transfers come to the higher disk but have the opposite effect on the bottom *** ranges of various parameters taken into account are Pr=6.2,Re=2,m=1.0,φ_(1)=φ_(2)=0.03,K=0.5,S=-0.1,Br=0.3,Sc=2.0,α_(1)=0.2,γ=0.1,E_(n)=2.0,and q=1.0,and the rotation factor K is within the range of 0 to 1.

关键词： transformer oil Brinkman number skin friction coefficient double rotating disk Nusselt number Sherwood number

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Realizing High Thermoelectric Performance in n-Type Se-Free Bi2Te3 materials by Spontaneous Incorporation of FeTe2 Nanoinclusions

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Energy & Environmental materials 2024年第4期7卷 344-354页

作者： Jamil ur rahman Woo Hyun Nam Yong-Jae Jung Jong Ho Won Jong-min Oh Nguyen Van Du Gul rahman Víctor m.García-Suárez Ran He Kornelius Nielsch Jung Young Cho Won-Seon Seo Jong Wook Roh Sang-il Kim Soonil Lee Kyu Hyoung Lee Hyun Sik Kim Weon Ho Shin Leibniz Institute for Solid State and materials Research Advanced materials Convergence R&D Division Korea Institute of Ceramic Engineering & Technology Department of Electronic materials Engineering Kwangwoon University Department of Energy Engineering Dankook University Faculty of Fundamental Science Phenikaa University Department of Physics Quaid-i-Azam University Departamento de Física Universidad de Oviedo Nanomaterials and Nanotechnology Research Center-CINN Department of materials Science and Engineering Yonsei University School of Nano & materials Science and Engineering Kyungpook National University Department of materials Science and Engineering University of Seoul School of materials Science and Engineering Changwon National University

Bi2Te3-based materials have drawn much attention from the thermoelectric community due to their excellent thermoelectric performance near room ***,the stability of existing n-type Bi2（Te,Se）3materials is still low due to the evaporation energy of Se (37.70 kJ mol-1) being much lower than that of Te (52.55 kJ mol-1).The evaporated Se from the material causes problems in interconnects of the module while degrading the efficiency.

关键词： Bi2Te3 energy harvesting FeTe2 nanoinclusion n-type materials thermoelectric

Enhancement of coercivity,permeability,and dielectric properties of Co_(0.2)Zn_(0.3)Ni_(0.5)Eu_(x)Fe_(2-x)O_(4) ferrites for memory and high frequency devices

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Journal of Rare Earths 2024年第6期42卷 1128-1135,I0005页

作者： I.Sardar m.D.Hossain m.S.Sikder m.N.I.Khan m.R.rahman Physics Discipline Khulna UniversityKhulna9208Bangladesh Department of Physics Khulna University of Engineering&TechnologyKhulna9203Bangladesh Department ofComputer Science and Engineering Northern University of Business&Technology KhulnaKhulna9100Bangladesh material Science Division Atomic Energy CentreDhaka1000Bangladesh

Spinel cubic ferrites have huge applications in me mory and high frequency *** the improvement of these modern devices,the magnetic coercivity,permeability,and dielectric properties of a ferrite are the important *** article focuses on improving the magnetic coercivity,magnetic permeability,and dielectric properties of Co_(0.2)Zn_(0.3)Ni_(0.5)Eu_(x)Fe_(2-x)O_(4) ferrites,where x=0.00,0.06,and *** X-ray diffraction(XRD),Fourier transform infrared spectroscopy(FTIR),field emission scanning electron microscopy(FESEm),energy dispersive X-ray(EDX),vibrating sample magnetometer(VSm),and an impedance analyzer were used to characterize the structural,magnetic,and dielectric properties of the *** XRD patterns indicate the formation of spinel cubic structure of the samples with a secondary peak(EuFeO_(3))for Eu doped *** densities and porosities of the samples follow an inverse trend,where the doped samples’lattice parameters are increased with the increment of rare earth Eu *** FTIR analysis also proves the spinel cubic phase of the *** average grain size of the ferrites is obtained via FESEm images,and it is increased from 121 to 198 *** analysis confirms that doping of the Eu content also changes other hysteresis loop properties of Co_(0.2)Zn_(0.3)Ni_(0.5)Eu_(x)Fe_(2-x)O_(4) ***,the coercivity of the Eu doped samples is greater than that of the mother alloy(x=0.00).The EDX study shows that there is no impurity contamination in the *** permeability and dielectric measurements show an improved quality factor of the Eu-doped samples with low magnetic and dielectric *** dependent resistivity and impedance analysis also show the improved *** the observed properties of the samples,all the investigated ferrites might be strong candidates for potential applications in memory devices,magnetic sensors,and high frequency applications.

关键词： Ferrites Raree arths Coercivity Permeability EDX Resistivity

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Unraveling the nature of sensing in electrostatic mEmS gas sensors

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microsystems & Nanoengineering 2024年第3期10卷 109-117页

作者： Yasser S.Shama Sasan rahmanian Hamza mouharrar Rana Abdelrahman Alaaeldin Elhady Eihab m.Abdel-rahman Systems Design Engineering University of Waterloo200 University Ave WWaterloo N2L 3G1 ONCanada mechanical Engineering Benha Faculty of EngineeringBenha UniversityBenha 13511Egypt

This paper investigates the fundamental sensing mechanism of electrostatic mEmS gas *** compares among the responsivities of a set of mEmS isopropanol sensors before and after functionalization,and in the presence and absence of electrostatic fields when operated in static and dynamic detection *** the static mode,we found that the sensors do not exhibit a measurable change in displacement due to added *** the other hand,bare sensors showed a clear change in displacement in response to isopropanol *** the dynamic mode,functionalized sensors showed a measurable frequency shift due to the added mass of isopropanol *** the presence of strong electrostatic fields,the measured frequency shift was found to be threefold larger than that in their absence in response to the same concentration of isopropanol *** enhanced responsivity of dynamic detection allows the sensors to measure the vapor mass captured by the functional material,which is not the case for static *** detection of isopropanol by bare sensors in static mode shows that change in the medium permittivity is the primary sensing *** enhanced responsivity of dynamic mode sensors when operated in strong electrostatic fields shows that their sensing mechanism is a combination of a weaker added mass effect and a stronger permittivity *** findings show that electrostatic mEmS gas sensors are independent of the direction of the gravitational field and are,thus,robust to changes in *** is erroneous to refer to them as‘gravimetric’sensors.

关键词： mechanism electrostatic measurable

Turning Trash into Treasure: Developing an Intelligent Bin for Plastic Bottle Recycling

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Journal of Social Computing 2024年第1期5卷 1-14页

作者： Sirajam munira Niloy Paul md Ashraful Alam md.mahmudur rahman m.Shamim Kaiser Institute of Information Technology Jahangirnagar UniversityDhaka 1342Bangladesh

Plastic pollution has emerged as a major global concern due to its enduring nature and limited recycling *** response to this critical challenge,this paper presents a novel approach utilizing a Detection-Based Reward System(DBRS)alongside an innovative business model to promote effective plastic waste management,reduce plastic waste accumulation in the nature,and uphold environmental *** the YOLOv5 algorithm for its exceptional accuracy,speed,and open-source availability,plastic bottle detection becomes a pivotal aspect of this *** seamlessly enroll in the system,triggering an automated detection process that computes reward points corresponding to their deposited plastic *** reward points are meticulously stored within a centralized *** its operational facets,this comprehensive system encompasses a robust business model,strategically poised to capture widespread engagement with waste disposal practices,thereby contributing to the realization of Sustainable Development Goals(SDGs)geared towards fostering a healthier ***,the DBRS attains cutting-edge performance in plastic bottle detection,boasting an impressive mean Average Precision(mAP)of 0.973,underscoring its efficacy in tackling plastic pollution.

关键词： smart environment reward system YOLOv5 deep learning business model

Graphene enhances artemisinin production in the traditional medicinal plant Artemisia annua via dynamic physiological processes and miRNA regulation

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Plant Communications 2024年第3期5卷 31-46页

作者： Junfeng Cao Zhiwen Chen Luyao Wang Ning Yan Jialing Lin Lipan Hou Yongyan Zhao Chaochen Huang Tingting Wen Chenyi Li Saeed ur rahman Zehui Liu Jun Qiao Jianguo Zhao Jie Wang Yannan Shi Wei Qin Tong Si Yuliang Wang Kexuan Tang Frontiers Science Center for Transformative molecules Joint International Research Laboratory of Metabolic and Developmental SciencesPlant Biotechnology Research CenterFudan-SJTU Nottingham Plant Biotechnology R&D CenterSchool of Agriculture and BiologyShanghai Jiao Tong UniversityShanghai 200240China Engineering Research Center of Coal-based Ecological Carbon Sequestration Technology of the ministry of Education Key Laboratory of Graphene Forestry Application of National Forest and Grass AdministrationShanxi Datong UniversityDatong 037009China National Key Laboratory of Plant molecular Genetics Institute of Plant Physiology and Ecology/CAS Center for Excellence in Molecular Plant SciencesChinese Academy of SciencesShanghai 200032China Hainan Institute Zhejiang UniversityYongyou Industry ParkYazhou Bay Sci-Tech CitySanya 572000China College of Agriculture and Biotechnology Zhejiang UniversityHangzhou 310058China Shandong Provincial Key Laboratory of Dryland Farming Technology College of AgronomyQingdao Agricultural UniversityQingdao 266109China Institute of millet Crops Hebei Academy of Agriculture&Forestry Sciences/Hebei Branch of China National Sorghum Improvement CenterShijiazhuang 050035China

We investigated the effects of graphene on the model herb Artemisia annua,which is renowned for produc-ing artemisinin,a widely used pharmacological *** growth and biomass were promoted when *** was cultivated with low concentrations of graphene,an effect which was attributed to a 1.4-fold increase in nitrogen uptake,a 15%–22%increase in chlorophyllfluorescence,and greater abun-dance of carbon cycling–related *** to 10 or 20 mg/L graphene resulted in a�60%increase in H2O2,and graphene could act as a catalyst accelerator,leading to a 9-fold increase in catalase(CAT)ac-tivity in vitro and thereby maintaining reactive oxygen species(ROS)***,graphene exposure led to an 80%increase in the density of glandular secreting trichomes(GSTs),in which artemisinin is biosynthesized and *** contributed to a 5%increase in artemisinin content inmature ***-estingly,expression of miR828 was reduced by both graphene and H2O2 treatments,resulting in induction of its target gene AamYB17,a positive regulator of GST *** molecular and genetic assays showed that graphene-induced H2O2 inhibits micro-RNA(miRNA)biogenesis through Dicers and regulates the miR828–AamYB17 module,thus affecting GST *** results suggest that graphene may contribute to yield improvement in *** via dynamic physiological processes together with miRNA regulation,and it may thus represent a new cultivation strategy for increasing yield capacity through nanobiotechnology.

关键词： Artemisia annua artemisinin glandular secreting trichomes GSTs miRNA graphene

Thermal noise-driven resonant sensors

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microsystems & Nanoengineering 2024年第3期10卷 259-271页

作者： Yan Qiao Alaaeldin Elhady mohamed Arabi Eihab Abdel-rahman Wenming Zhang School of mechanical Engineering Shanghai Jiao Tong UniversityShanghaiChina Department of Systems Design Engineering University of WaterlooWaterlooONCanada

mEmS/NEmS resonant sensors hold promise for minute mass and force ***,one major challenge is that conventional externally driven sensors inevitably encounter undesired intrinsic noise,which imposes a fundamental limitation upon their signal-to-noise ratio(SNR)and,consequently,the ***,this restriction becomes increasingly pronounced as sensors shrink to the *** this work,we propose a counterintuitive paradigm shift that turns intrinsic thermal noise from an impediment to a constituent of the sensor by harvesting it as the driving force,obviating the need for external actuation and realizing‘noise-driven’*** sensors employ the dynamically amplified response to thermal noise at resonances for stimulus *** demonstrate that lightly damped and highly compliant nano-structures with high aspect ratios are promising candidates for this class of *** overcome the phase incoherence of the drive force,three noise-enabled quantitative sensing mechanisms are *** validated our sensor paradigm by experimental demonstrating noise-driven pressure and temperature ***-driven sensors offer a new opportunity for delivering practical NEmS sensors that can function at room temperature and under ambient pressure,and a development that suggests a path to cheaper,simpler,and low-power-consumption sensors.

关键词： noise resonant overcome

GliomaCNN: An Effective Lightweight CNN model in Assessment of Classifying Brain Tumor from magnetic Resonance Images Using Explainable AI

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Computer modeling in Engineering & Sciences 2024年第9期140卷 2425-2448页

作者： md.Atiqur rahman mustavi Ibne masum Khan md Hasib m.F.mridha Sultan Alfarhood mejdl Safran Dunren Che Department of Computer Science and Engineering Ahsanullah University of Science and TechnologyDhaka1208Bangladesh Department of Computer Science and Software Engineering The University of Western AustraliaPerthWA 6009Australia Department of Computer Science American International University-BangladeshDhaka1229Bangladesh Department of Computer Science College of Computer and Information SciencesKing Saud UniversityP.O.Box 51178Riyadh11543Saudi Arabia School of Computing Southern Illinois UniversityCarbondale62901USA

Brain tumors pose a significant threat to human lives and have gained increasing attention as the tenth leading cause of global *** study addresses the pressing issue of brain tumor classification using magnetic resonance imaging(mRI).It focuses on distinguishing between Low-Grade Gliomas(LGG)and High-Grade Gliomas(HGG).LGGs are benign and typically manageable with surgical resection,while HGGs are malignant and more *** research introduces an innovative custom convolutional neural network(CNN)model,*** stands out as a lightweight CNN model compared to its *** research utilized the BraTS 2020 dataset for its *** with the gradient-boosting algorithm,GliomaCNN has achieved an impressive accuracy of 99.1569%.The model’s interpretability is ensured through SHapley Additive exPlanations(SHAP)and Gradient-weighted Class Activation mapping(Grad-CAm++).They provide insights into critical decision-making regions for classification *** challenges in identifying tumors in images without visible signs,the model demonstrates remarkable performance in this critical medical application,offering a promising tool for accurate brain tumor diagnosis which paves the way for enhanced early detection and treatment of brain tumors.

关键词： Deep learning magnetic resonance imaging convolutional neural networks explainable AI boosting algorithm ablation