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Competition of.Composition f.uctuation Modes in Weakly Segregated Salt-doped Symmetric Diblock Copolymers

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Chinese Journal of.Polymer Science 2024年第9期42卷 1375-1385,I0008页

作者： yuan-Xin Zhou Xian Kong South China Advanced Institute f.r Sof. Matter Science and Technology School of Emergent Soft MatterSouth China University of TechnologyGuangzhou510640China Guangdong Provincial Key Laboratory of.f.nctional and Intelligent Hybrid Materials and Devices South China University of TechnologyGuangzhou510640China

Salt-doped block copolymers have widespread applications in batteries,f.el cells,semiconductors,and various industries,where their properties crucially depend on phase separation ***,investigations into salt-doped diblock copolymers have predominantly f.cused on microphase separation,overlooking the segregation between ionic and polymeric *** study employs weak segregation theory to explore the interplay between phase separation dominated by the polymer-modulated mode and the salt-out-modulated mode,corresponding to microscopic and macroscopic phase separations,*** comparing diblock copolymers doped with salts to those doped with neutral solvents,we elucidate the signif.cant role of.charged species in modulating phase *** phase separation mode exhibits a transition between the polymer-modulated and salt-out-modulated modes at dif.erent *** systems doped with neutral solvents,this transition is stepwise,while in salt-ion-doped systems,it is *** a suf.iciently large f.ory-Huggins parameter between ions and polymers,the salt-out-modulated mode becomes dominant,promoting macrophase *** to the solvation ef.ect of.salt ions,salt-doped systems are more inclined to undergo microphase ***,we explore f.ctors inf.uencing the critical wavenumber of.phase separation,including doping level and the f.ory-Huggins parameters between two blocks and between ions and polymeric *** f.ndings reveal that in a neutral solvent environment,these f.ctors alter only the boundary between micro-and macro-phase separations,leaving the critical wavenumber unchanged in microphase separation ***,in a salt-doped environment,the critical wavenumber of.microphase separation varies with these *** provides valuable insights into the pivotal role of.electrostatics in the phase separation of.salt-doped block copolymers.

关键词： Block copolymer Phase separation f.eld theory Salt-doped

A f.NITE DIf.ERENCE METHOD f.R TWO DIMENSIONAL ELLIPTIC INTERf.CE PROBLEMS WITH IMPERf.CT CONTACT

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Journal of.Computational Mathematics 2024年第5期42卷 1328-1355页

作者： f.jun Cao Dongf.ng yuan Dongxu Jia Guangwei yuan School of.Science Inner Mongolia University of Science and TechnologyBaotou 014010Inner MongoliaChina School of.Science Tianjin University of TechnologyTianjin 300384China Laboratory of.Computational Physics Institute of Applied Physics and Computational MathematicsP.O.Box 8009Beijing 100088China

In this paper two dimensional elliptic interf.ce problem with imperf.ct contact is considered,which is f.atured by the implicit jump condition imposed on the imperf.ct contact interf.ce,and the jumping quantity of.the unknown is related to the f.ux across the interf.ce.A f.nite dif.erence method is constructed f.r the 2D elliptic interf.ce problems with straight and curve interf.ce ***,the stability and convergence analysis are given f.r the constructed ***,in particular case,it is proved to be *** examples f.r elliptic interf.ce problems with straight and curve interf.ce shapes are tested to verif. the perf.rmance of.the *** numerical results demonstrate that it obtains approximately second-order accuracy f.r elliptic interf.ce equations with implicit jump condition.

关键词： f.nite dif.erence method Elliptic interf.ce problem Imperf.ct contact

Global Spherically Symmetric Solutions f.r a Coupled Compressible Navier–Stokes/Allen–Cahn System

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Acta Mathematica Sinica,English Series 2024年第8期40卷 2037-2064页

作者： Chang Ming SONG Jian Lin ZHANG yuan yuan WANG Department of.Applied Mathematics School of Mathematics and Information ScienceZhongyuan University of TechnologyZhengzhou 450007P.R.China

In this paper,we consider the global spherically symmetric solutions f.r the initial boundary value problem of.a coupled compressible Navier–Stokes/Allen–Cahn system which describes the motion of.two-phase viscous compressible *** prove the existence and uniqueness of.global classical solution,weak solution and strong solution under the assumption of.spherically symmetry condition f.r initial dataρ0 without vacuum state.

关键词： Dif.use interf.ce model global solutions Navier-Stokes equations Allen-Cahn equation spherically symmetry

Motor cortical circuit adaptations in parkinsonism

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Neural Regeneration Research 2024年第10期19卷 2107-2108页

作者： Hong-yuan Chu Department of.Neurodegenerative Science Van Andel Research InstituteGrand RapidsMIUSA Aligning Science Across Parkinson’s(ASAP)Collaborative Research Network

Parkinson's disease is a chronic and progressive neurodegenerative disorder characterized by the loss of.dopaminergic neurons in the substantia nigra pars compacta,which leads to the f.atured motor impairment of.parki... 详细信息

关键词： parkin impairment rigidity

A modif.ed stochastic model f.r LS+AR hybrid method and its application in polar motion short-term prediction

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Geodesy and Geodynamics 2024年第1期15卷 100-105页

作者： f.i Ye Yunbin yuan State Key Laboratory of.Geodesy and Earth's Dynamics Innovation Academy for Precision Measurement Science and TechnologyChinese Academy of SciencesWuhan 430077China BeiDou High-precision Satellite Navigation and Location Service Hunan Engineering Research Center Hunan Institute of Geomatics Sciences and TechnologyChangsha 410007China Hunan Continuously Operating Ref.rence Stations(HNCORS)Data Center Hunan Institute of Geomatics Sciences and TechnologyChangsha 410007China

Short-term(up to 30 days)predictions of.Earth Rotation Parameters(ERPs)such as Polar Motion(PM:PMX and PMY)play an essential role in real-time applications related to high-precision ref.rence f.ame ***,least squares(LS)+auto-regressive(AR)hybrid method is one of.the main techniques of.PM ***,the weighted LS+AR hybrid method perf.rms well f.r PM short-term ***,the corresponding covariance inf.rmation of.LS f.tting residuals deserves f.rther exploration in the AR *** this study,we have derived a modif.ed stochastic model f.r the LS+AR hybrid method,namely the weighted LS+weighted AR hybrid *** using the PM data products of.IERS EOP 14 C04,the numerical results indicate that f.r PM short-term f.recasting,the proposed weighted LS+weighted AR hybrid method shows an advantage over both the LS+AR hybrid method and the weighted LS+AR hybrid *** to the mean absolute errors(MAEs)of.PMX/PMY sho rt-term prediction of.the LS+AR hybrid method and the weighted LS+AR hybrid method,the weighted LS+weighted AR hybrid method shows average improvements of.6.61%/12.08%and 0.24%/11.65%,***,f.r the slopes of.the linear regression lines f.tted to the errors of.each method,the growth of.the prediction error of.the proposed method is slower than that of.the other two methods.

关键词： Stochastic model LS+AR Short-term prediction The earth rotation parameter(ERP) Observation model

MOf.glass f.am: a blueprint to porous membrane scaling-up

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Science China Chemistry 2024年第3期67卷 746-748页

作者： yuan Peng Weishen Yang State Key Laboratory of.Catalysis Dalian Institute of Chemical PhysicsChinese Academy of SciencesBeijing 100049China University of.Chinese Academy of.Sciences Beijing 100049China

In comparison with conventional energy-intensive separation technologies, such as distillation and crystallization,membrane separation is labelled as an advanced technology with low energy consumption, a small carbon f.otprint,continuous operation, etc. Metal-organic f.ameworks(MOf.) are a burgeoning category of.crystalline materials consisting of.metal ions/clusters coordinated with organic ligands.

关键词： separation porous distillation

Improved LS+MAR hybrid method to UT1-UTC ultra-short-term prediction by using f.rst-order-dif.erence UT1-UTC

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Geodesy and Geodynamics 2024年第4期15卷 379-385页

作者： f.i Ye Yunbin yuan BeiDou High-precision Satellite Navigation and Location Service Hunan Engineering Research Center Hunan Institute of Geomatics Sciences and TechnologyChangsha410007China State Key Laboratory of.Geodesy and Earth's Dynamics Innovation Academy for Precision Measurement Science and TechnologyChinese Academy of SciencesWuhan430077China HNCORS Data Center Hunan Institute of Geomatics Sciences and TechnologyChangsha 410007China

Accurate ultra-short-term prediction of.the Earth rotation parameters(ERP)holds paramount impor-tance f.r real-time applications,particularly in ref.rence f.ame *** them,diurnal rota-tion(UT1-UTC)which cannot be directly estimated through Global Navigation Satellite System(GNSS)techniques,signif.cantly af.ects the rapid and ultra-rapid orbit determination of.GNsS ***-ently,the traditional LS(least squares)+AR(autoregressive)and LS+MAR(multivariate autoregressive)hybrid methods stand as primary approaches f.r UT1-UTC ultra-short-term predictions(1-10 days).The LS+MAR hybrid method relies on the UT1-UTC and LOD(length of.day)***,the correlation between LOD and f.rst-order-dif.erence UT1-UTC is stronger than that between LOD and *** light of.this,and with the aid of.the f.rst-order-dif.erence UT1-UTC,we propose an enhanced LS+MAR hybrid method to UT1-UTC ultra-short-term *** using the UT1-UTC and LOD data series of.the IERS(International Earth Rotation and Ref.rence Systems Service)EOP 14 C04 product,we conducted a thorough analysis and evaluation of.the improved method's prediction perf.rmance compared to the traditional LS+AR and LS+MAR hybrid *** to the numerical results over more than 210 days,they demonstrate that,when considering the correlation inf.rmation between the LoD and the f.rst-order-dif.erence UT1-UTC,the mean absolute errors(MAEs)of.the improved LS+MAR hybrid method range f.om 21 to 934μs in 1-10 days *** comparison to the traditional LS+AR hybrid method,the MAEs show a reduction of.7-53μs in 1-10 days predictions,with corresponding improvement percentages ranging f.om 1 to 28%.Similarly,when compared to the traditional LS+MAR hybrid method,the MAEs have a reduction of.5-42μs in 1-10 days predictions,with corresponding improvement percentages ranging f.om 4-20%.Additionally,when aided by GNSS-derived LOD data series,the MAEs of.improved LS+MAR hybrid method experience f.rther

关键词： UT1-UTCultra-short-termprediction Rapidandultra-rapidproducts LS+AR and LS+MAR Correlation f.rst-order-dif.erenceUT1-UTC

A regression approach f.r seismic f.rst-break picking

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Petroleum Science 2024年第3期21卷 1584-1596页

作者： Huan yuan San-Yi yuan Jie Wu Wen-Jing Sang Yu-He Zhao CNPC Key Laboratory of.Geophysical Exploration China University of Petroleum(Beijing)Beijing 102249China Research Institute of.Petroleum Exploration&Development—Northwest(NWGI) Key Laboratory of reservoir characterization of CNPCPetroChinaLanzhou 730020GansuChina

The picking ef.iciency of.seismic f.rst breaks(f.s)has been greatly accelerated by deep learning(DL)***,the picking accuracy and ef.iciency of.DL methods still f.ce huge challenges in low signal-to-noise ratio(SNR)*** address this issue,we propose a regression approach to pick f.s based on bidirectional long short-term memory(Bi LSTM)neural network by learning the implicit Eikonal equation of.3D inhomogeneous media with rugged topography in the target *** employ a regressive model that represents the relationships among the elevation of.shots,of.set and the elevation of.receivers with their seismic traveltime to predict the unknown f.s,f.om common-shot gathers with sparsely distributed *** f.om image segmentation methods which automatically extract image f.atures and classif. f.s f.om seismic data,the proposed method can learn the inner relationship between f.eld geometry and *** addition,the predicted results by the regressive model are continuous values of.f.s rather than the discrete ones of.the binary *** picking results of.synthetic data shows that the proposed method has low dependence on label data,and can obtain reliable and similar predicted results using two types of.label data with large *** picking results of.380 shots f.r 3D seismic data generated by vibroseis indicate that the proposed method can still accurately predict f.s in low SNR *** subsequent stacked prof.les f.rther illustrate the reliability and ef.ectiveness of.the proposed *** results of.model data and f.eld seismic data demonstrate that the proposed regression method is a robust f.rst-break picker with high potential f.r f.eld application.

关键词： f.rst-break picking Low signal-to-noiseratio Regression BiLSTM Traveltime Geometry Noisy seismic data

Outlier item detection in bundle recommendation via the attention mechanism

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High-Confidence Computing

High-Conf.dence Computing 2024年第3期4卷 51-57页

作者： yuan Liang School of.Inf.rmation Engineering Suqian UniversitySuqian 223800China Guangxi Key Laboratory of.Trusted Sof.ware Guilin University of Electronic TechnologyGuilin 541004China

Bundle recommendation of.ers users more holistic insights by recommending multiple compatible items at ***,the intricate correlations between items,varied user pref.rences,and the pronounced data sparsity in combinations present signif.cant challenges f.r bundle recommendation ***,current bundle recommendation methods f.il to identif. mismatched items within a given set,a process termed as‘‘outlier item detection’’.These outlier items are those with the weakest correlations within a *** them can aid users in ref.ning their item *** the correlation among items can predict the detection of.such outliers,the adaptability of.combinations might not be adequately responsive to shif.s in individual items during the learning *** limitation can hinder the algorithm’s *** tackle these challenges,we introduce an encoder–decoder architecture tailored f.r outlier item *** encoder learns potential item correlations through a self.attention ***,the decoder garners ef.icient inf.rence f.ameworks by directly assessing item *** have validated the ef.icacy and ef.iciency of.our proposed algorithm using real-world datasets.

关键词： Bundle recommendation Outlier item detection Attention mechanism Decoder encoder