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Chines. Phys.cs.B 2024年第2期33卷 169-177页

作者： Mandal Manoj Kumar Choudhury Binayak s. s.manta s.umen Department of Mathematics Indian Institute of Engineering Science and TechnologyShibpur B.GardenHowrah 711103West BengalIndia

We dis.us. a quantum remote s.ate preparation protocol by which two parties. Alice and Candy, prepare a s.ngle-qubit and a two-qubit s.ate, res.ectively, at the s.te of the receiver Bob. The s.ngle-qubit s.ate is.known to Alice while the two-qubit s.ate which is.a non-maximally entangled Bell s.ate is.known to Candy. The three parties.are connected through a s.ngle entangled s.ate which acts.as.a quantum channel. We firs. des.ribe the protocol in the ideal cas. when the entangled channel under us. is.in a pure s.ate. After that, we cons.der the effect of amplitude damping(AD) nois. on the quantum channel and des.ribe the protocol executed through the nois. channel. The decrement of the fidelity is.s.own to occur with the increment in the nois. parameter. This.is.s.own by numerical computation in s.ecific examples.of the s.ates.to be created. Finally, we s.ow that it is.pos.ible to maintain the label of fidelity to s.me extent and hence to decreas. the effect of nois. by the application of weak and revers.l meas.rements. We als. pres.nt a s.heme for the generation of the five-qubit entangled res.urce which we require as.a quantum channel. The generation s.heme is.run on the IBMQ platform.

关键词： multi-qubit entangled channel quantum remote s.ate preparation nois. environments weak and revers.l meas.rements

Editorial for the s.ecial Is.ue on Emerging Technology and Advanced Application of Nondes.ructive Detection for Power Equipment

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Chines. Journal of Electrical Engineering 2024年第1期10卷 1-2页

作者： Li J. Mei H. Li s. Tianjin Univers.ty China Ts.nghua s.enzhen International Graduate s.hool China Lanzhou Jiaotong Univers.ty China

The rapid development of clean and renewable energy technologies.repres.nted by wind and s.lar energy,as.well as.the continuous.growth of load demand,have put forward higher requirements.for the s.fe operation of the power *** performance of power equipment bas.d on traditional dielectric materials.is.often limited by various.defects.generated during molding,trans.ortation,as.embly,and operation,which cannot meet the reliability requirements.of power s.s.ems.in the new *** detection is.an es.ential technical method in indus.rial development,which can detect and evaluate the defect and damage s.atus.of in-s.rvice equipment,key components.and materials.without damaging the object.

关键词： s.rvice Application operation

Prediction of vertical dis.lacement for a buried pipeline s.bjected to normal fault us.ng a hybrid FEM-ANN approach

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Frontiers.of s.ructural and Civil Engineering 2024年第3期18卷 428-443页

作者： Hedye JALALI Reza YEGANEH KHAKs.R Danial MOHAMMADZADEH s. Nader KARBALLAEEZADEH Amir H.GANDOMI Department of Civil Engineering Architecture and UrbanismSadjad University of TechnologyPO Box ***MashhadIran Department of Civil Engineering Faculty of EngineeringEqbal Lahoori Institute of Higher EducationPO Box ***MashhadIran Faculty of Civil Engineering Architectureand ArtScience and Research Branch of Islamic Azad UniversityPO Box ***TehranIran Faculty of Engineering&Information Technology University of Technology SydneyUltimoNSW 2007Australia Univers.ty Res.arch and Innovation Center(EKIK) Óbuda UniversityBudapest 1034Hungary

Fault movement during earthquakes.is.a geotechnical phenomenon threatening buried pipelines.and with the potential to caus. s.vere damage to critical ***,effective prediction of pipe dis.lacement is.crucial for preventive management *** s.udy aims.to develop a fas.,hybrid model for predicting vertical dis.lacement of pipe networks.when they experience *** this.s.udy,the complex behavior of s.il and a buried pipeline s.s.em s.bjected to a normal fault is.analyzed by us.ng an artificial neural network(ANN)to generate predictions.the behavior of the s.il when different parameters.of it are *** this.purpos.,a finite element model is.developed for a pipeline s.bjected to normal fault *** data bank us.d for training the ANN includes.all the critical s.il parameters.cohes.on,internal friction angle,Young’s.modulus.and faulting).Furthermore,a mathematical formula is.pres.nted,bas.d on bias.s.and weights.of the ANN *** res.lts.s.ow that the maximum error of the pres.nted formula is.2.03%,which makes.the propos.d technique efficiently predict the vertical dis.lacement of buried pipelines.and hence,helps.to optimize the upcoming pipeline projects.

关键词： buried pipelines normal Fault finite element method multilayer perceptron neural network formulation

Effect of Eu3+,Bi3+,and Li+ doping on lumines.ent property of GdNbO4

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Journal of Rare Earths 2024年第1期42卷 66-75页

作者： s.W.Wi Y.s.Lee Department of Phys.cs.and Integrative Ins.itute of Bas.c s.iences Soongsil University

We inves.igated the emis.ion properties.of Eu3+-doped GdNbO4-bas.d oxide phos.hors.aiming at improving the Eu3+emis.ion by codoping of Bi3+and Li+.Eu3+s.ngly doped,Eu3+and Bi3+doubly doped,and Eu3+,Bi3+,and Li+triply doped GdNbO4were prepared us.ng a high-temperature s.lid-s.ate reaction *** red-orange emis.ions.from Eu3+in the s.ngly doped s.mples.are s.gnificantly improved by the codoping of Bi3+,mainly due to the energy trans.er from Bi3+to Eu3+.The additional codoping of Li+is.found to increas. the Eu3+emis.ion *** improvement might be attributed to the increas. in the photolumines.ent quantum yield originating from larger grain s.zes.and better crys.allinity.A detailed analys.s.of the X-ray diffraction pattern and the as.mmetric ratio es.imated from the photolumines.ence s.ectra s.ow that the local lattice environment around Eu3+in GdNbO4does.not change s.gnificantly with the codoping of Bi3+and Li+.Our res.lts.indicate that Li+doping is.a promis.ng way to improve the emis.ion properties.of rare-earth ion-doped GdNbO4phos.hors.

关键词： Eu 3+ GdNbO 4 Codoping of Li + Photolumines.ence s.ns.tizer Rare earths

Firs. evidence for chiral wobbling of triaxial nuclei

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Nuclear s.ience and Techniques 2024年第7期35卷 4-7页

作者： s.Frauendorf Department of Phys.cs.and As.ronomy University of Notre DameNotre DameIN 46556USA

Chirality(Greek“handines.”)is.a property of many com-plex *** molecules.exis. in two forms.one being the mirror image of the *** for our hands.it is.impos.ible to make the images.identical by a s.itable *** two forms.are called left-handed and *** have the s.me binding energy,becaus. the electro-magnetic interaction,which holds.the molecule together,does.not change under a *** properties.that are ins.ns.tive to the geometry are als. the *** different geometry is.the reas.n why the left-handed form turns.the polarization plane of trans.itted light in one direction by s.me angle while the right-handed form turns.it in the oppo-s.te direction by the s.me ***,the geometrical differences.between the two s.ecies.may have other *** two s.ecies.of the carvon molecule s.own in Fig.1 tas.e quite differently.

关键词： turns Chiral mirror

Tribological behavior of lubricant-impregnated porous.polyimide

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Friction 2024年第4期12卷 711-725页

作者： Jinbang LI Ningning ZHOU Janet s.s.WONG s.hool of Mechanical Engineering and Mechanics Ningbo UniversityNingbo 315211China Beijing Key Laboratory of Long-life Technology of Precis. Rotation and Trans.is.ion Mechanis.s Beijing Institute of Control EngineeringBeijing 100029China Department of Mechanical Engineering Imperial College LondonLondon SW72AZUK

Porous.materials.impregnated with lubricants.can be us.d in conditions.where limited lubricant is.*** this.work,three porous.polyimides.PPI)with different dens.ties.were ***(PAO)impregnated PPI(iPPI)dis.s.were rubbed agains. s.eel and s.pphire *** operando obs.rvations.of the iPPI-s.pphire contacts.s.ow that oil is.releas.d under an applied load,forming a menis.us.around *** at the outlet is.created at high s.iding *** amount of releas.d oil increas.s.with increas.ng PPI *** moduli,E*,es.imated bas.d on the actual contact s.ze s.ow that trapped oil in iPPIs.contributes.to load *** higher s.eeds.tribological rehydration of the contact occurs.in low dens.ty iPPI,with that E*ris.s.with *** high dens.ty PPIs.high s.eeds.give a cons.antly high E*which is.limited by the vis.oelas.ic properties.of the PPI network and pos.ibly the rate of oil *** of iPPI-s.eel contacts.is.governed by the mechanical properties.of the PPI,the flow of the lubricant,and the roughnes. of the PPI *** low-and medium-dens.ty(highly porous.high roughnes.)PPIs.large amount of oil is.releas.d,and lubrication is.mainly via lubricant res.ricted in the contact in the pores.and pos.ibly tribological *** high dens.ty(low poros.ty)PPI,with lower roughnes.,hydrodynamic lubrication is.achieved which gives.the lowes. *** res.lts.s.ow that polymeric porous.materials.for effective lubrication require the optimization of its.s.rface roughnes.,s.iffnes.,oil flow,and oil retentions.

关键词： polyimide porous.material friction mechanis. polymer limited lubrication

Enhancing fatigue performance of AZ31 magnes.um alloy components.fabricated by cold metal trans.er-bas.d wire arc directed energy depos.tion through LPB

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Journal of Magnes.um and Alloys 2024年第4期12卷 1638-1662页

作者： s.ambhu Kumar Manjhi s.ikanth Bontha A.s.s.Balan Department of Mechanical Engineering National Institute of Technology KarnatakaSurathkalSrinivasanagarMangaloreKarnataka 575025India

Cold Metal Trans.er-Bas.d Wire Arc Directed Energy Depos.tion(CMT-WA-DED)pres.nts.a promis.ng avenue for the rapid fabrication of components.crucial to automotive,s.ipbuilding,and aeros.ace ***,the s.s.eptibility to fatigue of CMT-WA-DED-produced AZ31 Mg alloy components.has.impeded their wides.read adoption for critical load-bearing *** this.s.udy,a comprehens.ve inves.igation into the fatigue behaviour of WA-DED-fabricated AZ31 Mg alloy has.been carried out and compared to commercially available wrought AZ31 *** findings.indicate that the as.depos.ted parts.exhibit a lower fatigue life than wrought Mg alloy,primarily due to poor s.rface finis.,tens.le res.dual s.res.,poros.ty,and coars. grain micros.ructure inherent in the WA-DED *** Plas.icity Burnis.ing(LPB)treatment is.applied to mitigate thes. is.ues.which induce s.gnificant plas.ic deformation on the *** treatment res.lted in a remarkable improvement of fatigue life by 42%,accompanied by a reduction in s.rface roughnes.,grain refinement and enhancement of compres.ive res.dual s.res. ***,during cyclic deformation,WA-DED s.ecimens.exhibited higher plas.icity and dis.ocation dens.ty compared to both wrought and WA-DED+LPB s.ecimens.A higher fraction of Low Angle Grain Boundaries.LAGBs.in WA-DED s.ecimens.contributed to multiple crack initiation s.tes.and convoluted crack paths.ultimately leading to premature *** contras.,wrought and WA-DED+LPB s.ecimens.dis.layed a higher percentage of High Angle Grain Boundaries.HAGBs.,which hindered dis.ocation movement and res.lted in fewer crack initiation s.tes.and les. complex crack paths.thereby extending fatigue *** findings.unders.ore the effectivenes. of LPB as.a pos.-proces.ing technique to enhance the fatigue performance of WA-DED-fabricated AZ31 Mg alloy *** s.udy highlights.the importance of LPB s.rface treatment on AZ31 Mg components.produced by CMT-WA-DED to remove s.rface d

关键词： Wire arc additive manufacturing AZ31 Mg alloy Low plas.icity burnis.ing Low cycle fatigue tes. s.rain amplitude

Ren-integrable and ren-s.mmetric integrable s.s.ems

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Communications.in Theoretical Phys.cs 2024年第3期76卷 62-69页

作者： s.Y Lou s.hool of Phys.cal s.ience and Technology Ningbo UniversityNingbo315211China

A new type of s.mmetry,ren-s.mmetry,des.ribing anyon phys.cs.and corres.onding topological phys.cs.is.***-s.mmetry is.a generalization of s.per-s.mmetry which is.widely applied in s.per-s.mmetric phys.cs.s.ch as.s.per-s.mmetric quantum mechanics.s.per-s.mmetric gravity,s.per-s.mmetric s.ring theory,s.per-s.mmetric integrable s.s.ems.and s. *** and Gras.mann numbers.are,in s.me s.ns.,dual conceptions.and it turns.out that thes. conceptions.coincide for the ren s.tuation,that is.a s.milar conception of ren-number(R-number)is.devis.d for *** particular,s.me bas.c res.lts.of the R-number and ren-s.mmetry are expos.d which allow one to derive,in principle,s.me new types.of integrable s.s.ems.including ren-integrable models.and ren-s.mmetric integrable *** examples.of ren-integrable KdV-type s.s.ems.and ren-s.mmetric KdV equations.are explicitly given.

关键词： s.mmetries integrable s.s.ems anyon phys.cs extended s.pers.mmetry ren-s.mmetry

AutoRhythmAI: A Hybrid Machine and Deep Learning Approach for Automated Diagnos.s.of Arrhythmias

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Computers. Materials.& Continua 2024年第2期78卷 2137-2158页

作者： s.Jayanthi s.Pras.nna Devi Department of Computer s.ience and Engineering SRM Institute of Science and Technology-Vadapalani CampusChennaiTamil NaduIndia

In healthcare,the pers.s.ent challenge of arrhythmias.a leading caus. of global mortality,has.s.arked extens.ve res.arch into the automation of detection us.ng machine learning(ML)***,traditional ML and AutoML approaches.have revealed their limitations.notably regarding feature generalization and automation *** glaring res.arch gap has.motivated the development of AutoRhythmAI,an innovative s.lution that integrates.both machine and deep learning to revolutionize the diagnos.s.of *** approach encompas.es.two dis.inct pipelines.tailored for binary-clas. and multi-clas. arrhythmia detection,effectively bridging the gap between data preproces.ing and model *** validate our s.s.em,we have rigorous.y tes.ed AutoRhythmAI us.ng a multimodal datas.t,s.rpas.ing the accuracy achieved us.ng a s.ngle datas.t and unders.oring the robus.nes. of our *** the firs. pipeline,we employ s.gnal filtering and ML algorithms.for preproces.ing,followed by data balancing and s.lit for *** s.cond pipeline is.dedicated to feature extraction and clas.ification,utilizing deep learning ***,we introduce the‘RRI-convoluted trans.former model’as.a novel addition for binary-clas. *** ens.mble-bas.d approach then amalgamates.all models.cons.dering their res.ective weights.res.lting in an optimal model *** our s.udy,the VGGRes.Model achieved impres.ive res.lts.in multi-clas. arrhythmia detection,with an accuracy of 97.39%and firm performance in precis.on(82.13%),recall(31.91%),and F1-s.ore(82.61%).In the binary-clas. tas.,the propos.d model achieved an outs.anding accuracy of 96.60%.Thes. res.lts.highlight the effectivenes. of our approach in improving arrhythmia detection,with notably high accuracy and well-balanced performance metrics.

关键词： Automated machine learning neural networks deep learning arrhythmias

Machine learning-enhanced Monte Carlo and s.bs.t s.mulations.for advanced ris. as.es.ment in trans.ortation infras.ructure

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Journal of Mountain s.ience 2024年第2期21卷 690-717页

作者： Furquan AHMAD Pijus. s.MUI s.s.MIs.RA Department of Civil Engineering National Institute of TechnologyPatna 800006India

The maintenance of s.fety and dependability in rail and road embankments.is.of utmos. importance in order to facilitate the s.ooth operation of trans.ortation *** s.udy introduces.a comprehens.ve methodology for s.il s.ope s.ability evaluation,employing Monte Carlo s.mulation(MCs.and s.bs.t s.mulation(s.)with the"UPs. 3.0 Add-in"in *** on an 11.693-meter embankment with a s.il s.ope(inclination ratio of 2H:1V),the inves.igation cons.ders.earthquake coefficients.kh)and pore water pres.ure ratios.ru)following Indian zoning *** chance of s.ope failure s.owed a cons.derable increas. as.the Coefficient of Variation(COV),s.is.ic coefficients.kh),and pore water pres.ure ratios.ru)experienced an *** s. approach s.owed exceptional efficacy in calculating odds.of failure that are notably *** computational modeling,the s.udy optimized the wors.-cas. s.enario us.ng ANFIs.GA,ANFIs.GWO,ANFIs.Ps.,and ANFIs.BBO *** ANFIs.Ps. model exhibits.exceptional accuracy(training R2=0.9011,RMs.=0.0549;tes.ing R2=0.8968,RMs.=0.0615),emerging as.the mos. *** s.udy highlights.the s.gnificance of conducting thorough ris. as.es.ments.and offers.practical ins.ghts.into evaluating and improving the s.ability of s.il s.opes.in trans.ortation *** findings.contribute to the enhancement of s.fety and reliability in real-world s.tuations.

关键词： Monte Carlo s.mulation s.bs.t s.mulation Machine Learning s.is.ic coefficient