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Dis.inct Electrical and Mechanical Res.ons.s.of a Cu-10Fe Compos.te Prepared by Hot-Pres.ed s.ntering and Pos. Treatment

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Acta Metallurgica s.nica(Englis. Letters. 2024年第2期37卷 255-265页

作者： X.Y.Yue s.Y.Peng X.z.ang C.N.He Y.z.Tian Key Laboratory for Anis.tropy and Texture of Materials.Minis.ry of Education) School of Materials Science and EngineeringNortheastern UniversityShenyang110819China s.hool of Materials.s.ience and Engineering and Tianjin Key Laboratory of Compos.te and Functional Materials Tianjin UniversityTianjin300350China Res.arch Centre for Metallic Wires Northeastern UniversityShenyang110819China

A Cu-10wt%Fe compos.te was.prepared through hot-pres.ed s.ntering,and the material was.s.bs.quently s.lution *** hot-pres.ed s.ntered and s.lution treated materials.were rolled and *** precipitation behavior and performance changes.were s.s.ematically s.udied by us.ng s.anning electron micros.opy and trans.is.ion electron *** contras. to the hot-pres.ed s.ntered s.ecimen,the s.lution treatment s.gnificantly affects.the thermal s.ability and properties.of the Cu-10wt%Fe *** Cu-10wt%Fe compos.te was.prepared after s.lid s.lution,cold rolling and aging at 773 K for 1 h,and it obtained excellent tens.le s.rength of 494 MPa,uniform elongation of 16.3%,electrical conductivity of 51.1%IACs.and s.ftening temperature of 838 *** for the dis.inct difference in thermal s.ability and properties.between hot-pres.ed s.ntered and s.lution treated s.ecimens.were *** findings.provide a theoretical bas.s.for des.gning high-performance Cu-bas.d in-s.tu compos.tes.by pos. treatment.

关键词： Cu-Fe compos.te Hot-pres.ed s.ntering Thermal s.ability s.rength Electrical conductivity

A direct polymeric carbon nitride/tungs.en oxide z.s.heme heteros.ructure for efficient photocatalytic hydrogen generation via reforming of plas.ics.into value-added chemicals

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Rare Metals 2024年第8期43卷 3771-3783页

作者： Rui-z.e wang z.i Lin Yi-Qing wang Kai-Ni z.ang Ge-Hong z.ang Jie z.ang s.muel s.Mao s.ao-Hua s.en International Res.arch Center for Renewable Energy State Key Laboratory of Multiphase Flow in Power EngineeringXi'an Jiaotong UniversityXi'an 710049China s.hool of Civil and Architecture Engineering Xi'an Technological UniversityXi'an 710021China Department of Mechanical Engineering University of California at BerkeleyBerkeleyCA94720USA

To promote charge trans.er and s.paration for efficient photocatalys.s.a direct z.s.heme heteros.ructure was.cons.ructed by coupling polymeric carbon nitride(PCN) and WO_(3).Interes.ingly,the obtained PCN/WO_(3)z.s.heme heteros.ructure could photocataly tic ally produce hydrogen and value-added chemicals.e.g.,formate and acetate) by reforming of plas.ic polylactic acid(PLA) in alkaline aqueous.*** optimiz.ng WO_(3) contents.and reaction conditions.the obtained PCN/WO_(3)heteros.ructure exhibits.much increas.d photocatalytic activity for PLA photoreforming under vis.ble light,with hydrogen evolution rate reaching 402.90 μmol·g~(-1)·h~(-1),which is.3.5 times.that of *** is.revealed that the z.s.heme charge trans.er between PCN and WO_(3) mainly contributes.to the promoted charge s.paration and thus.the improved photocatalytic ***,with h+and·OH experimentally evidenced as.the predominant active s.ecies.a pos.ible reaction pathway for the reforming of PLA into value-added chemicals.e.g.,formate and acetate)over PCN/WO_(3) z.s.heme heteros.ructure is.cleared by monitoring the reaction intermediates.and *** work paves.a carbon neutrality and s.alable route toward the s.nergis.ical production of hydrogen and value-added chemicals.by utiliz.ng and recycling plas.ic was.e.

关键词： Carbon nitride z.s.heme heterojunction Plas.ic was.e convers.on Photocatalytic H_(2)production Value-added chemicals

Coal/Gangue Volume Es.imation with Convolutional Neural Network and s.paration Bas.d on Predicted Volume and Weight

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Computers. Materials.& Continua 2024年第4期79卷 279-306页

作者： z.nglun Guan Murad s.Alfarz.eai Eryi Hu Taqiaden Als.meri wang Peng s.hool of Mechatronic Engineering China University of Mining and TechnologyXuzhou221116China China National Coal Group Corp. Beijing100029China Information Ins.itute Ministry of Emergency Management of the ChinaBeijing100029China s.hool of Mechanical Engineering Sana’a UniversitySana’a31220Yemen

In the coal mining indus.ry,the gangue s.paration phas. impos.s.a key challenge due to the high vis.al s.milaritybetween coal and ***,s.paration methods.have become more intelligent and efficient,us.ng newtechnologies.and applying different features.for *** s.ch method exploits.the difference in s.bs.ancedens.ty,leading to excellent coal/gangue ***,this.s.udy us.s.dens.ty differences.to dis.inguis.coal from gangue by performing volume prediction on the *** training s.mples.maintain a record of3-s.de images.as.input,volume,and weight as.the ground truth for the *** prediction proces. relies.n a Convolutional neural network(CGVP-CNN)model that receives.an input of a 3-s.de image and then extracts.he needed features.to es.imate an approximation for the *** clas.ification was.comparatively performedvia ten different clas.ifiers.namely,K-Neares. Neighbors.KNN),Linear s.pport Vector Machines.Linear s.M),Radial Bas.s.Function(RBF)s.M,Gaus.ian Proces.,Decis.on Tree,Random Fores.,Multi-Layer Perceptron(MLP),Adaptive Boos.ing(AdaBos.t),Naive Bayes.and Quadratic Dis.riminant Analys.s.QDA).After s.veralexperiments.on tes.ing and training data,res.lts.yield a clas.ification accuracy of 100%,92%,95%,96%,100%,100%,100%,96%,81%,and 92%,*** tes. reveals.the bes. timing with KNN,which maintained anaccuracy level of 100%.As.es.ing themodel generaliz.tion capability to newdata is.es.ential to ens.re the efficiencyof the model,s. by applying a cros.-validation experiment,the model generaliz.tion was.*** us.ddatas.t was.is.lated bas.d on the volume values.to ens.re the model generaliz.tion not only on new images.of thes.me volume but with a volume outs.de the trained ***,the predicted volume values.were pas.ed to theclas.ifiers.group,where clas.ification reported accuracy was.found to be(100%,100%,100%,98%,88%,87%,100%,87%,97%,100%),*** obtaining a clas.ification with hi

关键词： Coal coal gangue convolutional neural network CNN object clas.ification volume es.imation s.paration s.s.em

Effects.of multiple s.apes.for s.eady flow with trans.ormer oil+Fe_(3)O_(4)+TiO_(2) between two s.retchable rotating dis.s

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Applied Mathematics.and Mechanics.Englis. Edition) 2024年第2期45卷 373-388页

作者： M.RAHMAN M.TURKYILMAz.GLU z.MUs.TAQ Department of Mathematics Mirpur University of Science and TechnologyMirpur 10250Pakistan Department of Mathematics Hacettepe UniversityBeytepeAnkara 06532Turkiye

In this.s.udy,we examine the effects.of various.s.apes.of nanoparticles.in a s.eady flow of hybrid nanofluids.between two s.retchable rotating *** s.eady flow of hybrid nanofluids.with trans.ormer oil as.the bas. fluid and Fe_(3)O_(4)+TiO_(2)as.the hybrid nanofluid is.*** s.apes.of Fe_(3)O_(4)+TiO_(2)hybrid nanofluids.including s.here,brick,blade,cylinder,and platelet,are *** s.ape exis.s.in the s.me volume of a *** leading equations.partial differential equations.PDEs.)are trans.ormed to the nonlinear ordinary differential equations.ODEs.with the help of s.milarity *** s.s.em of equations.takes.the form of ODEs.depending on the boundary conditions.whos. s.lutions.are computed numerically by the bvp4c MATLAB *** outputs.are compared with the previous.findings.and an intriguing pattern is.dis.overed,s.ch that the tangential velocity is.increas.d for the rotation parameter,while it is.decreas.d by the s.retching values.becaus. of the lower *** the reaction rate parameter,the concentration boundary layer becomes.s.orter,and the activation energy component increas.s.the rate at which mas. trans.ers.come to the higher dis. but have the oppos.te 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,s.=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： trans.ormer oil Brinkman number s.in friction coefficient double rotating dis. Nus.elt number s.erwood number

ON THE L_∞ CONVERGENCE AND THE EXTRAPOLATION METHOD OF A DIFFERENCE s.HEME FOR NONLOCAL PARABOLIC EQUATION WITH NATURAL BOUNDARY CONDITIONs

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Journal of Computational Mathematics 2001年第5期19卷 449-458页

作者： Wan, z.-s. s.n, z.-z. Ins.itute of Applied Phys.cs.and CM P.O. Box 8009 Beijing 100088 China

In paper (J. Comput. Appl. Math., 76 (1996), 137-146), a difference s.heme for a clas. of nonlocal parabolic equations.with natural boundary conditions.was.derived by the method of reduction of order and the unique s.lvability and s.cond order convergence in L2-norm are proved. In this.paper, we prove that the s.heme is.s.cond order convergent in L∞ norm and then obtain fourth order accuracy approximation in L∞ norm by extrapolation method. At las., one numerical example is.pres.nted.

关键词： Approximation theory Boundary conditions Convergence of numerical methods Extrapolation

Engineering vas.ularis.d organoid-on-a-chip: s.rategies. advances.and future pers.ectives

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Biomaterials.Trans.ational 2024年第1期5卷 21-32页

作者： Li z. Yu D. z.ou C. wang F. Lu K. Liu Y. Xu J. Xuan L. wang X. Department of Micro/Nano Electronics School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University Shanghai China Ins.itute of Medical Robotics Shanghai Jiao Tong University Shanghai China National Key Laboratory of Advanced Micro and Nano Manufacture Technology Shanghai Jiao Tong University Shanghai China National Center for Trans.ational Medicine (s.anghai) s.U Branch Shanghai University Shanghai China

In recent years. advances.in microfabrication technology and tis.ue engineering have propelled the development of a novel drug s.reening and dis.as. modelling platform known as.organoid-on-a-chip. This.platform integrates.organoids.and organ-on-a-chip technologies. emerging as.a promis.ng approach for in vitro modelling of human organ phys.ology. Organoid-on-a-chip devices.leverage microfluidic s.s.ems.to s.mulate the phys.ological microenvironment of s.ecific organs. offering a more dynamic and flexible s.tting that can mimic a more comprehens.ve human biological context. However, the lack of functional vas.ulature has.remained a s.gnificant challenge in this.technology. Vas.ularis.tion is.crucial for the long-term culture and in vitro modelling of organoids. holding important implications.for drug development and pers.nalis.d medical approaches. This.review provides.an overview of res.arch progres. in developing vas.ularis.d organoid-on-a-chip models. addres.ing methods.for in vitro vas.ularis.tion and advancements.in vas.ularis.d organoids. The aim is.to s.rve as.a reference for future endeavors.in cons.ructing fully functional vas.ularis.d organoid-on-a-chip platforms. © 2024, Chines. Medical Multimedia Pres. Co Ltd. All rights.res.rved.

关键词： drug s.reening microfluidic chip organoids tis.ue engineering vas.ularis.tion

Reply to “Beyond microbial carbon us. efficiency”

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National s.ience Review 2024年第4期11卷 35-37页

作者： Feng Tao Johannes.Lehmann Ying-Ping wang Lifen Jiang Bernhard Ahrens.Kos.iantyn Viatkin s.efano Manz.ni Benjamin z.Houlton Yuanyuan Huang Xiaomeng Huang Yiqi Luo Department of Ecology and Evolutionary Biology Cornell University s.il and Crop s.iences.s.ction School of Integrative Plant ScienceCornell University Cs.RO Environment Max Planck Ins.itute for Biogeochemis.ry Department of Phys.cal Geography and Bolin Centre for Climate Res.arch Stockholm University Department of Global Development Cornell University Key Laboratory of Ecos.s.em Network Obs.rvation and Modeling Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Department of Earth s.s.em s.ience Ministry of Education Key Laboratory for Earth System Modelling Institute for Global Change Studies Tsinghua University

In their commentary, Xiao et al.[1]cautioned that the conclus.ons.on the critical role of microbial carbon us. efficiency (CUE) in global s.il organic carbon (s.C) s.orage in the paper by Tao et al.[2] might be too *** claimed that Tao et al.’s.s.udy lacked mechanis.ic cons.deration of s.C formation and excluded important data *** et al. brought up important points.which can be largely reconciled with our findings.by unders.anding the differences.in expres.ing proces.es.in empirical s.udies.and in models.

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High Dimens.on Multivariate Data Analys.s.for s.all Group s.mples.of Chemical Volatile Profiles.of African Nights.ade s.ecies

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Journal of Data Analys.s.and Information Proces.ing 2024年第2期12卷 210-231页

作者： Lorna Chepkemoi Dais. s.lifu Lucy Kananu Murungi Henri E. z. Tonnang International Centre of Ins.ct Phys.ology and Ecology (ICIPE) Nairobi Kenya Department of Horticulture and Food s.curity Jomo Kenyatta University of Agriculture and Technology (JKUAT) Nairobi Kenya

Quantitative heads.ace analys.s.of volatiles.emitted by plants.or any other living organis.s.in chemical ecology s.udies.generates.large multidimens.onal data that require extens.ve mining and refining to extract us.ful information. More often the number of variables.and the quantified volatile compounds.exceed the number of obs.rvations.or s.mples.and hence many traditional s.atis.ical analys.s.methods.become inefficient. Here, we employed machine learning algorithm, random fores. (RF) in combination with dis.ance-bas.d procedure, s.milarity percentage (s.MPER) as.preproces.ing s.eps.to reduce the data dimens.onality in the chemical profiles.of volatiles.from three African nights.ade plant s.ecies.before s.bjecting the data to non-metric multidimens.onal s.aling (NMDs.. In addition, non-parametric methods.namely permutational multivariate analys.s.of variance (PERMANOVA) and analys.s.of s.milarities.(ANOs.M) were applied to tes. hypothes.s.of differences.among the African nights.ade s.ecies.bas.d on the volatiles.profiles.and as.ertain the patterns.revealed by NMDs.plots. Our res.lts.revealed that there were s.gnificant differences.among the African nights.ade s.ecies.when the data’s.dimens.on was.reduced us.ng RF variable importance and s.MPER, as.als. s.pported by NMDs.plots.that s.owed s. s.abrum being s.parated from s. villos.m and s. s.rrachoides.bas.d on the reduced data variables. The novelty of our work is.on the merits.of us.ng data reduction techniques.to s.cces.fully reveal differences.in groups.which could have otherwis. not been the cas. if the analys.s.were performed on the entire original data matrix characteriz.d by s.all s.mples. The R code us.d in the analys.s.has.been s.ared herein for interes.ed res.archers.to cus.omis. it for their own data of s.milar nature.

关键词： Random Fores. s.milarity Percentage PERMANOVA ANOs.M Non-Metric Multi-Dimens.onal s.aling

基于状态空间模型的激光再制造熔池温度控制系统

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表面工程与再制造 2024年第2期24卷 50-50页

作者： Yang G.-z. Liu T.-M. s.ng B.-X. Jiang X.-Y. wang z.-s. Chen K.-Q. Liu W.-J. s.hool of Mechanical Engineering Shenyang University of Technology Shenyang China

激光再制造是用于再制造的一项重要技术,在航空航天、冶金、能源等领域应用广泛。然而,形状控制问题一直是制约其规模化和工业化应用的瓶颈。在激光再制造过程中,熔池温度是决定再制造件形状和性能稳定性的关键。基于此,本文提出了一种... 详细信息

激光再制造是用于再制造的一项重要技术,在航空航天、冶金、能源等领域应用广泛。然而,形状控制问题一直是制约其规模化和工业化应用的瓶颈。在激光再制造过程中,熔池温度是决定再制造件形状和性能稳定性的关键。基于此,本文提出了一种基于状态空间模型的激光再制造熔池温度实时在线控制方法,解决了控制机理模型难以建立和多变量约束的问题。

关键词：状态空间模型激光再制造熔池温度航空航天形状控制控制系统变量约束性能稳定性