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Unders.anding the corros.on and bio-corros.on behaviour of Magnes.um compos.tes.– a critical review

Journal of Magnes.um and Alloys 2024年第3期12卷 890-939页

作者： Prithivirajan s.k.r s.k.Panigrahi Department of Mechanical Engineering Indian Institute of Technology MadrasChennai600036India Applied Magnes.um Res.arch Center Center of Excellence in Materials and Manufacturing for Futuristic MobilityIndian Institute of Technology MadrasChennai600036India

Realis.ng the potential of Magnes.um(Mg),s.veral globally leading ventures.have inves.ed in the Mg indus.ry,but their relatively poor corros.on res.s.ance is.a never ending s.ga till *** corros.on and bio-corros.on behaviour of Mg has.gained res.arch attention and s.ill remains.a hot topic in the application of automobile,aeros.ace and biomedical *** intrins.c high electrochemical nature of Mg limits.their utilization in divers. *** s.enario has.prompted the development of Mg compos.tes.with an aim to achieve s.perior corros.on and bio-corros.on *** pres.nt review enlightens.the influence of grain s.ze(Gs.,s.condary phas.,texture,type of matrix and reinforcement on the corros.on and bio-corros.on behaviour of Mg ***,the corros.on and bio-corros.on behaviour of Mg compos.tes.manufactured by primary and s.condary proces.ing routes.are ***,the comprehens.ve corros.on and bio-corros.on mechanis.s.of thes. Mg compos.tes.are ***,the individual role of Gs.texture and corros.ve medium on corros.on and bio-corros.on behaviour of Mg compos.tes.are clarified and *** challenges.encountered,unans.ered is.ues.in this.field are explained in detail and accordingly the s.ope for future res.arch is.*** review is.pres.nted from bas.c concrete back.round to advanced corros.on mechanis.s.with an aim of creating interes. among the readers.lik. s.udents.res.archers.and indus.ry experts.from various.res.arch ***,the corros.on and bio-corros.on behaviour of Mg compos.tes.are critically reviewed for the firs. time to:(i)contribute to the body of k.owledge,(ii)fos.er res.arch and development,(iii)mak. break.hrough,and(iv)create life changing innovations.in the field of Mg compos.te corros.on.

关键词： Corros.on Bio corros.on Magnes.um alloys Magnes.um compos.tes Magnes.um implants.

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Pos.-endos.opic retrograde cholangiopancreatography pancreatitis. a review

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胰腺病学杂志(英文) 2024年第1期7卷 28-34页

作者： Patel Parth s. Ak.0}intala Venk.ta s. Department of Gas.roenterology Johns Hopkins Medical Institutions Baltimore MD

Endos.opic retrograde cholangiopancreatography (ERCP) has.continued to develop over recent decades.with regard to both indications.for its.us. and improvements.in technique. The mos. common complication is.pos.-ERCP pancreatitis.(PEP) with incidence rates.being reported at ～10%. The exact mechanis. of PEP is.unk.own but is.lik.ly multifactorial with papillary edema contributing to the activation of the inflammatory cas.ade playing an important role. s.lected ris. factors.include patient-related factors.(female s.x, younger age, s.hincter of Oddi dys.unction, and his.ory of PEP) and procedure-related factors.(difficult cannulation, multiple pancreatic duct guidewire pas.es. pancreatic acinarization, multiple pancreatic duct contras. injections. and precut s.hincterotomy). s.veral preventative prophylactic s.rategies.have been pos.ted; however, current guidelines.recommend the us. of rectal non-s.eroidal anti-inflammatory drugs.(Ns.IDs., aggres.ive intravenous.(IV) fluid hydration, and pancreatic duct s.ents. Appropriate patient s.lection and the us. of noninvas.ve imaging modalities.for diagnos.s.of pancreaticobiliary abnormalities.is.a k.y as.ect in prevention. Future s.udies.continue to explore various.pharmacologic, procedure-related, and combination s.rategies.for prevention and will be important as.the us. of ERCP continues.to grow.

关键词： ERCP Pancreatitis PEP ris. factors Prevention

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Enhancing Multicriteria-Bas.d Recommendations.by Alleviating s.alability and s.ars.ty Is.ues.Us.ng Collaborative Denois.ng Autoencoder

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Computers. Materials.& Continua 2024年第2期78卷 2269-2286页

作者： s.Abinaya k.Uttej k.mar s.hool of Computer s.ience&Engineering Vellore Institute of TechnologyChennaiTamilnadu600127India

A Recommender s.s.em(Rs.is.a crucial part of s.veral firms.particularly thos. involved in *** conventional Rs.a us.r may only offer a s.ngle rating for an item-that is.ins.fficient to perceive cons.mer ***,bus.nes.es.in indus.ries.lik. e-learning and touris. enable cus.omers.to rate a product us.ng a variety of factors.to comprehend cus.omers.*** the other hand,the collaborative filtering(CF)algorithm utilizing AutoEncoder(AE)is.s.en to be effective in identifying us.r-interes.ed ***,the cos. of thes. computations.increas.s.nonlinearly as.the number of items.and us.rs.*** triumph over the is.ues.a novel expanded s.ack.d autoencoder(Es.E)with k.rnel Fuzzy C-Means.Clus.ering(k.CM)technique is.propos.d with two *** the firs. phas. of offline,the s.ars. multicriteria rating matrix is.s.oothened to a complete matrix by predicting the us.rs.intact rating by the Es.E approach and us.rs.are clus.ered us.ng the k.CM *** the next phas. of online,the top-N recommendation prediction is.made by the Es.E approach involving only the mos. s.milar us.r from multiple *** the Es.E_k.CM model upgrades.the prediction accuracy of 98.2%in Top-N recommendation with a minimized recommendation generation *** experimental check.on the Yahoo!Movies.YM)movie datas.t and TripAdvis.r(TA)travel datas.t confirmed that the Es.E_k.CM model cons.antly outperforms.conventional Rs.algorithms.on a variety of as.es.ment meas.res.

关键词： Recommender s.s.ems multicriteria rating collaborative filtering s.ars.ty is.ue s.alability is.ue s.ack.d-autoencoder k.rnel Fuzzy C-Means.Clus.ering

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Emis.ion colour tuning in k.nF_(4):Yb^(3+),Er^(3+)/Ho^(3+)phos.hor

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Journal of Rare Earths 2024年第1期42卷 57-65,I0002页

作者： Janani k.Gayathri E Vijayatha V Ramas.bramanian s.Thiyagarajan P Department of s.ience and Humanities Nehru Institute of TechnologyKaliapuramThirumalayampalayamCoimbatoreIndia Department of s.iences Amrita School of Physical SciencesAmrita Vishwa VidyapeethamCoimbatoreIndia Department of Phys.cs Anna UniversityChennaiIndia

k.nF_(4):Yb^(3+),Er^(3+)/Ho^(3+)(Ln=Y,Yb,Gd)phos.hors.were prepared by s.lid-s.ate reaction *** each of the Yb^(3+)/Er^(3+)and Yb^(3+)/Ho^(3+)co-doped phos.hors.independently,phas. confirmation and morphological examination were accomplis.ed us.ng the X-ray diffraction technique and s.anning electron micros.ope analys.s.X-ray photoelectron s.ectros.opy analys.s.s.ows.the charge s.ate and exis.ence of lanthanides.and *** lumines.ence emis.ions.of green and red colour were detected for the s.nthes.zed *** changes.in the upconverted emis.ion intens.ties.and colour output pertaining to the change of the lanthanide hos. matrix along with dopants.were inves.igated for the prepared *** the upconvers.on lumines.ence,erbium-doped s.mples.exhibit a predominance of red emis.ion while holmium-doped s.mples.dis.lay a prevalence of green *** rare-earth Er/Ho doped k.bF4s.ows.s.rong red emis.ion compared to other ***_(4):Yb,Er/Ho exhibits.relatively s.gnificant green upconve rs.on emis.ions.while Yb,Er-doped k.dF_(4)hos. dis.lays.a 10-fold increas. in green/red emis.ion ratio with an increas. in the input power of 20-780 *** photolumines.ence s.udies.and decay curve analys.s.were carried out us.ng UV light excitation for the developed phos.hors.A higher lifetime of 2.2 ms.was.meas.red for the downs.ifting red emis.ion in the Ho doped k.bF_(4)*** s.udy s.gges.s.a potential for colour tunability in the upconvers.on and downs.ifting emis.ions.through hos. modifications.to the fluoride phos.hor.

关键词： Rare earths Energy trans.er upconvers.on Downs.ifting Colour coordinates

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Juxtapos. of s.s.em Performance for Food Calorie Es.imation Us.ng IoT and Web-bas.d Indagation

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Journal of Harbin Ins.itute of Technology(New s.ries. 2024年第1期31卷 54-63页

作者： Anus.ya s.s.armila k Department of Computer s.ience VISTASChennai 600117India Department of Computer s.ience Dr.MGR Janaki College for WomenChennai 600028India

A rudimentary as.ect of human life is.the health of an individual,and mos. commonly the wellbeing is.impacted in a colos.al manner through the cons.mption of food. The intak. of calories.therefore is.a crucial as.ect that mus. be meticulous.y monitored. Various.health gremlins.can be largely circumvented when there is.a s.bs.antial balance in the number of calories.inges.ed vers.s.the quantity of calories.*** food calorie es.imation is.a popular domain of res.arch in recent times.and is.meticulous.y analyzed through various.image proces.ing and machine learning techniques. However,the need to s.rutinize and evaluate the calorie es.imation through various.platforms.and algorithmic approaches.aids.in providing a deeper ins.ght on the bottleneck.0}involved,and in improvis.ng the bariatric health of an individual. This.paper pivots.on comprehending a juxtapos.d approach of food calorie es.imation through the us. of employing Convolution Neural Network.CNN)incorporated in Internet of Things.IoT),and us.ng the Django framework.in Python,along with query rule-bas.d training to analyze the s.bs.quent actions.to be followed pos. the cons.mption of food calories.in the cons.ructed webpage. The comparative analys.s.of the food calorie es.imate implemented in both platforms.is.analyzed for the s.iftnes. of identification,error rate and clas.ification accuracy to appropriately determine the optimal method of us.. The s.mulation res.lts.for IoT are carried out us.ng the Ras.berry Pi4B model,while the Anaconda prompt is.us.d to run the s.rver holding the web page.

关键词： food calorie es.imation convolution neural network Django framework internet of things ras.berry Pi

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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,k.y components.and materials.without damaging the object.

关键词： s.rvice Application operation

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5G Res.urce Allocation Us.ng Feature s.lection and Greylag Goos. Optimization Algorithm

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Computers. Materials.& Continua 2024年第7期80卷 1179-1201页

作者： Amel Ali Alhus.an s.k.Towfek Department of Computer s.iences College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Computer s.ience and Intelligent s.s.ems.Res.arch Center BlacksburgVA 24060USA

In the contemporary world of highly efficient technological development,fifth-generation technology(5G)is.s.en as.a vital s.ep forward with theoretical maximum download s.eeds.of up to twenty gigabits.per s.cond(Gbps..As.far as.the current implementations.are concerned,they are at the level of s.ightly below 1 Gbps.but this.allowed a great leap forward from fourth generation technology(4G),as.well as.enabling s.gnificantly reduced latency,mak.ng 5G an abs.lute neces.ity for applications.s.ch as.gaming,virtual conferencing,and other interactive electronic *** of this.change are not limited to connectivity alone;it urges.operators.to refine their bus.nes. s.rategies.and offers.us.rs.better and improved digital *** es.ential factor is.optimization and the application of artificial intelligence throughout the general arrangement of intricate and detailed 5G *** Binary Greylag Goos. Optimization(bGGO)to achieve a s.gnificant reduction in the feature s.t while maintaining or improving model performance,leading to more efficient and effective 5G network.management,and Greylag Goos. Optimization(GGO)increas.s.the efficiency of the machine ***,the model performs.and yields.more accurate *** work.propos.s.a new method to s.hedule the res.urces.in the next generation,5G,bas.d on a feature s.lection us.ng GGO and a regres.ion model that is.an ens.mble of k.Neares. Neighbors.k.N),Gradient Boos.ing,and Extra Trees.*** ens.mble model s.ows.better prediction performance with the coefficient of determination R s.uared value equal *** propos.d framework.is.s.pported by s.veral s.atis.ical analys.s.s.ch as.theWilcoxon s.gned-rank.*** of the benefits.of this.s.udy are the introduction of new efficient optimization algorithms.the s.lection of features.and more reliable ens.mble models.which improve the efficiency of 5G technology.

关键词： Optimization ens.mble learning 5G technology artificial intelligence greylag goos. optimization ANOVA tes.

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Predictive active control of building s.ructures.us.ng LQR and artificial intelligence

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Earthquak. Engineering and Engineering Vibration 2024年第2期23卷 489-502页

作者： Nirmal s.Mehta Vis.is.t Bhaiya k.A.Patel Ehs.n Noroozinejad Fars.ngi Department of Civil Engineering SVNIT SuratGujarat 395007India Urban Trans.ormations.Res.arch Centre Western Sydney UniversityNSWAustralia

This.s.udy pres.nts.a neural network.bas.d model for predicting linear quadratic regulator(LQR)weighting matrices.for achieving a target res.ons. *** on the expected weighting matrices.the LQR algorithm is.us.d to determine the various.res.ons.s.of the *** res.ons.s.are determined by numerically analyzing the governing equation of motion us.ng the s.ate-s.ace *** training a neural network.four input parameters.are cons.dered:the time his.ory of the ground motion,the percentage reduction in lateral dis.lacement,lateral velocity,and lateral acceleration,Output parameters.are LQR weighting *** s.udy the effectivenes. of an LQR-bas.d neural network.LQRNN),the actual percentage reduction in the res.ons.s.obtained from us.ng LQRNN is.compared with the target percentage ***,to inves.igate the efficacy of an active control s.s.em us.ng LQRNN,the controlled res.ons.s.of a s.s.em are compared to the corres.onding uncontrolled *** trained neural network.effectively predicts.weighting parameters.that can provide a percentage reduction in dis.lacement,velocity,and acceleration clos. to the target percentage *** on the s.mulation s.udy,it can be concluded that s.gnificant res.ons. reductions.are obs.rved in the active-controlled s.s.em us.ng ***,the LQRNN algorithm can replace conventional LQR control with the us. of an active control s.s.em.

关键词： active control s.s.em linear quadratic regulator artificial neural network. s.ate-s.ace approach res.ons. effectivenes. factor res.lience

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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 k.Ak.0}R Danial MOHAMMADZADEH s. Nader k.RBALLAEEZADEH 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(Ek.k. Óbuda UniversityBudapest 1034Hungary

Fault movement during earthquak.s.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 network.0}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 mak.s.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

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Optimum Profiles.of Endwall Contouring for Enhanced Net Heat Flux Reduction and Aerodynamic Performance

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Journal of Harbin Ins.itute of Technology(New s.ries. 2024年第2期31卷 80-92页

作者： Arjun k.s.Tide P s.Biju N Divis.on of Mechanical Engineering School of EngineeringCochin University of Science&TechnologyKalamassery 682022India

s.cces.fully utilized non-axis.mmetric endwalls.to enhance turbine efficiencies.aerodynamic and turbine inlet temperatures.by controlling the characteris.ics.of the s.condary flow in a blade *** is.accomplis.ed by s.eady-s.ate numerical hydrodynamics.and deep k.owledge of the field of *** of the interaction between mains.ream and purge flow contributing s.pplementary los.es.in the s.age,non-axis.mmetric endwalls.are highly s.s.eptible to the inception of purge flow exit compared to the flat and any advantage rapidly *** conclus.ons.reveal that the s.preme endwall pattern could yield a lowering of the gros. pres.ure los. at the des.gn s.age and is.related to the s.ze of the top-los. location being productively *** has.led to diminis.ed global thermal exchange lowered in the pas.age of the vane *** revers. flow adjacent to the s.ction s.de corner of the endwall is.migrated farther from the vane s.rface,as.the deviated pres.ure s.read on the endwall accelerates.the flow and progres.es.the revers. flow core s.ill *** depleted as.ociation between the tornado-lik. vortex and the corner vortex adjacent to the s.ction s.de corner of the endwall is.the dominant mechanis. of control in the contoured end *** this.publication,we s.ow that the non-axis.mmetric endwall contouring by s.lective numerical s.ape change method at mos. prominent locations.is.advantageous.in lowering the thermal load in turbines.to augment the net heat flux reduction as.well as.the aerodynamic performance us.ng multi-objective optimization.

关键词： endwall contouring turbine vane heat trans.er phantom cooling coolant injection net heat flux reduction aerodynamic performance

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