One possibility to support Precise Point Positioning with integer Ambiguity Resolution(PPP-AR)is the application of slant ionospheric corrections converted using ionospheric Mapping Functions(MF)from Vertical Total El...One possibility to support Precise Point Positioning with integer Ambiguity Resolution(PPP-AR)is the application of slant ionospheric corrections converted using ionospheric Mapping Functions(MF)from Vertical Total Electron Content(VTEC).In such a case,the accuracy of the ionospheric corrections is driven by the uncertainties introduced by both VTEC and MF.Focusing on the ionospheric mapping functions,we note that a Single Layer Model(SLM)MF,which is conventionally used in GNSS positioning,is less effective for regions with high TEC gradients.Hence,in this study,we validate the performance of a new Multi-Layer(ML)approach-based ionospheric mapping function responding to the limitations of the conventional SLM MF.The new ML MF,based on the Neustrelitz Total Electron Content model,leverages the concept of dividing the ionosphere into several thin shells.Consequently,the ratio of aggregated Slant TEC(STEC)and VTECs provides the mapping factors.We validate the MF based on both PPP positioning and GNSS observation domains.We used data from nine GNSS stations distributed in three ionosphere sectors,namely high,middle,and low latitudes,with different daily patterns of the ionosphere.We report a benefit from applying the new multi-layer approach-based MF for PPP performance compared to positioning with a standard SLM.The advances are the most noticeable during the positioning initialization period and,therefore,are reflected in a faster convergence of the fixed solution by 4–10%,on average.The analysis in the GNSS observation domain based on geometry-free linear combination revealed the highest potential of the ML mapping function for the equa torial region.展开更多
When estimating ionospheric Total Electron Content(TEC)using Global Navigation Satellite System(GNSS)observations,one of the signifcant error sources is the mapping error introduced by slant to vertical TEC conversion...When estimating ionospheric Total Electron Content(TEC)using Global Navigation Satellite System(GNSS)observations,one of the signifcant error sources is the mapping error introduced by slant to vertical TEC conversion and vice versa.A single-layer Mapping Function(MF)based on a thin-shell assumption of the Earth’s ionosphere is commonly used for TEC conversion.However,the accuracy of single-layer MF is susceptible to the inaccurate fxing of the ionospheric single-layer height.In order to fnd a mapping approach less sensitive to the choice of ionospheric efective height we defned a multi-layer ionosphere mapping function and investigated its performance in comparison with the single-layer model.We found that the multi-layer MF outperforms the single-layer MF when computing GNSS receiver Diferential Code Biases(DCBs)especially at low latitude and equatorial regions where ionosphere is highly dynamic and difcult to model.When compared with the International GNSS Services(IGS)products,we found that the mean receiver DCB estimation is improved(closer to benchmark)by about 0.14-0.27 ns and 0.30-0.78 ns during days in 2019 and 2023,respectively.We found that the receiver DCB estimation improves for about 66-87%receivers.This is also refected in Global Ionosphere Maps(GIMs)showing better performance for the multi-layer MF when comparing with IGS GIMs.Our investigation using GNSS observations onboard Low Earth Orbiting(LEO)satellites shows that the multi-layer MF can be successfully applied in computing satellite and receiver DCBs accurately.展开更多
Causality is the science of cause and effect.It is through causality that explanations can be derived,theories can be formed,and new knowledge can be discovered.This paper presents a modern look into establishing caus...Causality is the science of cause and effect.It is through causality that explanations can be derived,theories can be formed,and new knowledge can be discovered.This paper presents a modern look into establishing causality within structural engineering systems.In this pursuit,this paper starts with a gentle introduction to causality.Then,this paper pivots to contrast commonly adopted methods for inferring causes and effects,i.e.,induction(empiricism)and deduc-tion(rationalism),and outlines how these methods continue to shape our structural engineering philosophy and,by extension,our domain.The bulk of this paper is dedicated to establishing an approach and criteria to tie principles of induction and deduction to derive causal laws(i.e.,mapping functions)through explainable artificial intelligence(XAI)capable of describing new knowledge pertaining to structural engineering phenomena.The proposed approach and criteria are then examined via a case study.展开更多
Illuminating the phenotype-genotype black box under complex traits is an ambitious goal for researchers.The generation of temporally or spatially phenotypic data today has far outpaced its interpretation,due to their ...Illuminating the phenotype-genotype black box under complex traits is an ambitious goal for researchers.The generation of temporally or spatially phenotypic data today has far outpaced its interpretation,due to their highly dynamic nature depending on the environment and developmental stages.Here,we propose an integrated enviro-pheno-geno functional approach to pinpoint the major challenges of decomposing physiological traits.The strategy first features high-throughput functional physiological phenotyping(FPP)to efficiently acquire phenotypic and environmental data.It then features functional mapping(FM)and the extended systems mapping(SM)to tackle trait dynamics.FM,by modeling traits as continuous functions,can increase the power and efficiency in dissecting the spatiotemporal effects of QTLs.SM could enable reconstruction of a genotype-phenotype map from developmental pathways.We present a recent case study that combines FPP and SM to dissect complex physiological traits.This integrated approach will be an important engine to drive the translation of phenomic big data into genetic gain.展开更多
By establishing the concepts of fuzzy approaching set and fuzzy approaching functional mapping and making research on them, a new method for time series prediction is introduced.
Machine learning techniques are increasingly used in high-energy nuclear physics because they can exploit multivariate correlations more efficiently than conventional cut-based analyses.A central challenge is the cons...Machine learning techniques are increasingly used in high-energy nuclear physics because they can exploit multivariate correlations more efficiently than conventional cut-based analyses.A central challenge is the construction of training samples that faithfully reproduce the detector response observed in data.Signal samples are usually derived from detector simulations;therefore,mismatches between simulation and data can degrade classifier performance and introduce systematic biases.This work presents two practical correction procedures,namely cumulative distribution function(CDF)mapping and a shift-andscale transformation,to align simulated signal features with those measured in data.Their performance is demonstrated with J∕ψ yield measurements in■GeV Ru+Ru and Zr+Zr collisions recorded by STAR.A set of self-consistency tests shows that these procedures substantially suppress the systematic bias associated with data-simulation discrepancies in machine-learning-based signal extraction.展开更多
Complex traits are controlled by many unknown genes,making it difficult to elucidate a global picture of the genotypephenotype map.Here,we develop a statistical mechanics model to contextualize all possible genes into...Complex traits are controlled by many unknown genes,making it difficult to elucidate a global picture of the genotypephenotype map.Here,we develop a statistical mechanics model to contextualize all possible genes into informative,dynamic,omnidirectional,and personalized idopNetworks.This model,derived from the combination of functional mapping and evolutionary game theory,can visualize and trace how genes act and interact with each other to shape the genetic architecture of complex traits.The model can estimate changes in the genotypic value of one gene due to the influence of other genes,specifically on individual subjects,surpassing traditional quantitative genetic studies that can only capture the marginal effect of a gene at the population level.We reconstruct growth idopNetworks from a genome-wide mapping data in a woody plant,mei,identifying unique genetic interaction architecture that distinguishes between fast-growing trees and slow-growing trees.We perform computer simulation to validate the statistical power of the model.IdopNetworks can disentangle the genetic control mechanisms of complex traits and provide guidance on how to alter phenotypic values of specific individuals by promoting or inhibiting the expression of interactive genes.展开更多
By using the modified mapping method, we find new exact solutions of the Petviashvili equation. The solutions obtained in this paper include Jacobian elliptic function solutions, combined Jacobian elliptic function so...By using the modified mapping method, we find new exact solutions of the Petviashvili equation. The solutions obtained in this paper include Jacobian elliptic function solutions, combined Jacobian elliptic function solutions, soliton solutions, triangular function solutions.展开更多
Service function chains(SFC)mapping takes the responsibility for managing virtual network functions(VNFs).In SFC mapping,existing solutions duplicate VNFs with redundant instances to provide high availability in respo...Service function chains(SFC)mapping takes the responsibility for managing virtual network functions(VNFs).In SFC mapping,existing solutions duplicate VNFs with redundant instances to provide high availability in response to failures.However,as a compromise,these solutions result in high resource consumption due to device maintenance.In this paper,we propose a novel method named dynamic backup sharing(DBS)that allows SFCs to dynamically share backups to reduce resource consumption.DBS formulates the problem of sharing backups among different VNFs as an integer linear programming(ILP).Thereafter,we design a novel online algorithm based on dynamic programming to solve the problem.The experimental results indicate that DBS outperforms state-ofthe-art works by reducing resource consumption and improving the number of accepted requests.展开更多
Texture pattern mapping is one of the most important techniques for high quality image syn- thesis. It can largely enhance the visual richness of raster-scan images. In this paper is presented a new method of mapping ...Texture pattern mapping is one of the most important techniques for high quality image syn- thesis. It can largely enhance the visual richness of raster-scan images. In this paper is presented a new method of mapping planar texture pattern onto beta-spline curved surfaces——bilinear mapping method which can map planar texture pattern onto curved surfaces with less distortion, and also can fulfill the geometric transformation of the texture pattern on the curved surfaces by operating the pattern win- dow. It is valuable to both CAD/CAM in artistic field and computer graphics.展开更多
Three-dimensional(3D)shape registration is a challenging problem,especially for shapes under non-rigid transformations.In this paper,a 3D non-rigid shape registration method is proposed,called balanced functional maps...Three-dimensional(3D)shape registration is a challenging problem,especially for shapes under non-rigid transformations.In this paper,a 3D non-rigid shape registration method is proposed,called balanced functional maps(BFM).The BFM algorithm generalizes the point-based correspondence to functions.By choosing the Laplace-Beltrami eigenfunctions as the function basis,the transformations between shapes can be represented by the functional map(FM)matrix.In addition,many constraints on shape registration,such as the feature descriptor,keypoint,and salient region correspondence,can be formulated linearly using the matrix.By bi-directionally searching for the nearest neighbors of points’indicator functions in the function space,the point-based correspondence can be derived from FMs.We conducted several experiments on the Topology and Orchestration Specification for Cloud Applications(TOSCA)dataset and the Shape Completion and Animation of People(SCAPE)dataset.Experimental results show that the proposed BFM algorithm is effective and has superior performance than the state-of-the-art methods on both datasets.展开更多
Coordinated mission decision-making is one of the core steps to effectively exploit the capabilities of cooperative attack of multiple aircrafts. However, the situational assessment is an essential base to realize the...Coordinated mission decision-making is one of the core steps to effectively exploit the capabilities of cooperative attack of multiple aircrafts. However, the situational assessment is an essential base to realize the mission decision-making. Therefore, in this paper, we develop a mission decision-making method of multi-aircraft cooperatively attacking multi-target based on situational assessment. We have studied the situational assessment mathematical model based on the Dempster-Shafer(D-S) evidence theory and the mission decision-making mathematical model based on the game theory. The proposed mission decision-making method of antagonized airfight is validated by some simulation examples of a swarm of unmanned combat aerial vehicles(UCAVs)that carry out the mission of the suppressing of enemy air defenses(SEAD).展开更多
In this paper,a new type of finite difference mapped weighted essentially non-oscillatory(MWENO)schemes with unequal-sized stencils,such as the seventh-order and ninthorder versions,is constructed for solving hyperbol...In this paper,a new type of finite difference mapped weighted essentially non-oscillatory(MWENO)schemes with unequal-sized stencils,such as the seventh-order and ninthorder versions,is constructed for solving hyperbolic conservation laws.For the purpose of designing increasingly high-order finite difference WENO schemes,the equal-sized stencils are becoming more and more wider.The more we use wider candidate stencils,the bigger the probability of discontinuities lies in all stencils.Therefore,one innovation of these new WENO schemes is to introduce a new splitting stencil methodology to divide some fourpoint or five-point stencils into several smaller three-point stencils.By the usage of this new methodology in high-order spatial reconstruction procedure,we get different degree polynomials defined on these unequal-sized stencils,and calculate the linear weights,smoothness indicators,and nonlinear weights as specified in Jiang and Shu(J.Comput.Phys.126:202228,1996).Since the difference between the nonlinear weights and the linear weights is too big to keep the optimal order of accuracy in smooth regions,another crucial innovation is to present the new mapping functions which are used to obtain the mapped nonlinear weights and decrease the difference quantity between the mapped nonlinear weights and the linear weights,so as to keep the optimal order of accuracy in smooth regions.These new MWENO schemes can also be applied to compute some extreme examples,such as the double rarefaction wave problem,the Sedov blast wave problem,and the Leblanc problem with a normal CFL number.Extensive numerical results are provided to illustrate the good performance of the new finite difference MWENO schemes.展开更多
Accurate boundary conditions of composite material plates with different holes are founded to settle boundary condition problems of complex holes by conformal mapping method upon the nonhomogeneous anisotropic elastic...Accurate boundary conditions of composite material plates with different holes are founded to settle boundary condition problems of complex holes by conformal mapping method upon the nonhomogeneous anisotropic elastic and complex function theory. And then the two stress functions required were founded on Cauchy integral by boundary conditions. The final stress distributions of opening structure and the analytical solution on composite material plate with rectangle hole and wing manholes were achieved. The influences on hole-edge stress concentration factors are discussed under different loads and fiber direction cases, and then contrast calculates are carried through FEM.展开更多
An oblique edge crack problem in a semi-infinite plane is discussed. Re concentrated forces are applied on the edge crack face, or on the line boundary of the cracked semi-infinite plane. The rational mapping function...An oblique edge crack problem in a semi-infinite plane is discussed. Re concentrated forces are applied on the edge crack face, or on the line boundary of the cracked semi-infinite plane. The rational mapping function approach is suggested to solve the boundary value problem and a solution in a closed form is obtained. Finally, several numerical examples with the calculated results are given.展开更多
Previous studies have demonstrated that electroacupuncture therapy is effective in the treatment of irritable bowel syndrome. However, the precise mechanism of this therapy is unknown. The present study served to inve...Previous studies have demonstrated that electroacupuncture therapy is effective in the treatment of irritable bowel syndrome. However, the precise mechanism of this therapy is unknown. The present study served to investigate the effects of electroacupuncture therapy on treatment of patients with diarrhea-predominant irritable bowel syndrome (IBS). We compared brain activation maps based on the changes of cerebral glucose metabolism obtained by 18-fluorodeoxyglucose positron emission tomography scanning under three conditions: resting, rectal balloon distension and rectal balloon distension plus electroacupuncture. Under the resting condition, compared with healthy controls, IBS patients displayed an increasing regional cerebral metabolic rate of glucose over a wide range: bilateral superior temporal gyrus, right middle occipital gyrus, superior frontal gyrus and bilateral middle frontal gyrus. However, there was no significant activity in the visceral pain center. Compared with the resting condition, under the rectal balloon distension condition, patients with IBS had a greater regional cerebral metabolic rate of glucose in the prefrontal cortex, left anterior cingulate cortex, postcentral gyrus, precentral gyrus and temporal gyrus. Under the rectal balloon distension plus electroacupuncture condition, stimulation by electroacupuncture at Tianshu (ST 25) manifested a decreased regional cerebral metabolic rate of glucose in the left cingulate gyrus, right insula, right caudate nucleus, fusiform gyrus and hippocampal gyrus. Electroacupuncture therapy relieved abdominal pain, distension or discomfort by decreasing glucose metabolism in the brain.展开更多
Low dynamic range(LDR)images captured by consumer cameras have a limited luminance range.As the conventional method for generating high dynamic range(HDR)images involves merging multiple-exposure LDR images of the sam...Low dynamic range(LDR)images captured by consumer cameras have a limited luminance range.As the conventional method for generating high dynamic range(HDR)images involves merging multiple-exposure LDR images of the same scene(assuming a stationary scene),we introduce a learning-based model for single-image HDR reconstruction.An input LDR image is sequentially segmented into the local region maps based on the cumulative histogram of the input brightness distribution.Using the local region maps,SParam-Net estimates the parameters of an inverse tone mapping function to generate a pseudo-HDR image.We process the segmented region maps as the input sequences on long short-term memory.Finally,a fast super-resolution convolutional neural network is used for HDR image reconstruction.The proposed method was trained and tested on datasets including HDR-Real,LDR-HDR-pair,and HDR-Eye.The experimental results revealed that HDR images can be generated more reliably than using contemporary end-to-end approaches.展开更多
Extensive studies have revealed the ecological and evolutionary significance of phenotypic plasticity,but little is known about how it is inherited between generations and the genetic architecture of its transgenerati...Extensive studies have revealed the ecological and evolutionary significance of phenotypic plasticity,but little is known about how it is inherited between generations and the genetic architecture of its transgenerational inheritance.To address these issues,we design a mapping study by growing Arabidopsis thaliana RILs in high-and low-light environments and further growing their offspring RILs from each maternal light environment in the same contrasting environments.This tree-like design of the controlled ecological experiment provides a framework for analysing the genetic regulation of phenotypic plasticity and its non-genetic inheritance.We implement the computational approach of functional mapping to identify specific QTLs for transgenerational phenotypic plasticity.By estimating and comparing the plastic response of leaf-number growth trajectories to light environment between generations,we find that the maternal environment affects phenotypic plasticity,whereas transgenerational plasticity is shaped by the offspring environment.The genetic architecture underlying the light-induced change of leaf number not only changes from parental to offspring generations,but also depends on the maternal environment the parental generation experienced and the offspring environment the offspring generation is experiencing.Most plasticity QTLs are annotated to the genomic regions of candidate genes for specific biological functions.Our computational-experimental design provides a unique insight into dissecting the non-genetic and genetic mechanisms of phenotypic plasticity shaping plant adaptation and evolution in various forms.展开更多
We propose a new fractional two-dimensional triangle function combination discrete chaotic map(2D-TFCDM)with the discrete fractional difference.Moreover,the chaos behaviors of the proposed map are observed and the bif...We propose a new fractional two-dimensional triangle function combination discrete chaotic map(2D-TFCDM)with the discrete fractional difference.Moreover,the chaos behaviors of the proposed map are observed and the bifurcation diagrams,the largest Lyapunov exponent plot,and the phase portraits are derived,respectively.Finally,with the secret keys generated by Menezes-Vanstone elliptic curve cryptosystem,we apply the discrete fractional map into color image encryption.After that,the image encryption algorithm is analyzed in four aspects and the result indicates that the proposed algorithm is more superior than the other algorithms.展开更多
In this paper, we investigate the well-known problem of a finite width strip with a single edge crack, which is useful in basic engineering and material science. By extending the configuration to a two-dimensional dec...In this paper, we investigate the well-known problem of a finite width strip with a single edge crack, which is useful in basic engineering and material science. By extending the configuration to a two-dimensional decagonal quasicrystal, we obtain the analytic solutions of modesⅠand Ⅱ using the transcendental function conformal mapping technique. Our calculation results provide an accurate estimate of the stress intensity factors K_Ⅰ and K_Ⅱ, which can be expressed in a quite simple form and are essential in the fracture theory of quasicrystals. Meanwhile, we suggest a generalized cohesive force model for the configuration to a two-dimensional decagonal quasicrystal. The results may provide theoretical guidance for the fracture theory of two-dimensional decagonal quasicrystals.展开更多
基金funded by the LMAP(LEO Ionospheric Mapping Assessment and Derivation For Precise PVT Applications)project under the ESA Contract No.4000142821/23/NL/MGu/mythe National Science Centre,Poland,Project No.2023/48/Q/ST10/00059.
摘要One possibility to support Precise Point Positioning with integer Ambiguity Resolution(PPP-AR)is the application of slant ionospheric corrections converted using ionospheric Mapping Functions(MF)from Vertical Total Electron Content(VTEC).In such a case,the accuracy of the ionospheric corrections is driven by the uncertainties introduced by both VTEC and MF.Focusing on the ionospheric mapping functions,we note that a Single Layer Model(SLM)MF,which is conventionally used in GNSS positioning,is less effective for regions with high TEC gradients.Hence,in this study,we validate the performance of a new Multi-Layer(ML)approach-based ionospheric mapping function responding to the limitations of the conventional SLM MF.The new ML MF,based on the Neustrelitz Total Electron Content model,leverages the concept of dividing the ionosphere into several thin shells.Consequently,the ratio of aggregated Slant TEC(STEC)and VTECs provides the mapping factors.We validate the MF based on both PPP positioning and GNSS observation domains.We used data from nine GNSS stations distributed in three ionosphere sectors,namely high,middle,and low latitudes,with different daily patterns of the ionosphere.We report a benefit from applying the new multi-layer approach-based MF for PPP performance compared to positioning with a standard SLM.The advances are the most noticeable during the positioning initialization period and,therefore,are reflected in a faster convergence of the fixed solution by 4–10%,on average.The analysis in the GNSS observation domain based on geometry-free linear combination revealed the highest potential of the ML mapping function for the equa torial region.
基金funded by the LMAP(LEO Ionospheric Mapping Assessment and Derivation For Precise PVT Applications)project under the ESA Contract No.4000142821/23/NL/MGu/my。
摘要When estimating ionospheric Total Electron Content(TEC)using Global Navigation Satellite System(GNSS)observations,one of the signifcant error sources is the mapping error introduced by slant to vertical TEC conversion and vice versa.A single-layer Mapping Function(MF)based on a thin-shell assumption of the Earth’s ionosphere is commonly used for TEC conversion.However,the accuracy of single-layer MF is susceptible to the inaccurate fxing of the ionospheric single-layer height.In order to fnd a mapping approach less sensitive to the choice of ionospheric efective height we defned a multi-layer ionosphere mapping function and investigated its performance in comparison with the single-layer model.We found that the multi-layer MF outperforms the single-layer MF when computing GNSS receiver Diferential Code Biases(DCBs)especially at low latitude and equatorial regions where ionosphere is highly dynamic and difcult to model.When compared with the International GNSS Services(IGS)products,we found that the mean receiver DCB estimation is improved(closer to benchmark)by about 0.14-0.27 ns and 0.30-0.78 ns during days in 2019 and 2023,respectively.We found that the receiver DCB estimation improves for about 66-87%receivers.This is also refected in Global Ionosphere Maps(GIMs)showing better performance for the multi-layer MF when comparing with IGS GIMs.Our investigation using GNSS observations onboard Low Earth Orbiting(LEO)satellites shows that the multi-layer MF can be successfully applied in computing satellite and receiver DCBs accurately.
摘要Causality is the science of cause and effect.It is through causality that explanations can be derived,theories can be formed,and new knowledge can be discovered.This paper presents a modern look into establishing causality within structural engineering systems.In this pursuit,this paper starts with a gentle introduction to causality.Then,this paper pivots to contrast commonly adopted methods for inferring causes and effects,i.e.,induction(empiricism)and deduc-tion(rationalism),and outlines how these methods continue to shape our structural engineering philosophy and,by extension,our domain.The bulk of this paper is dedicated to establishing an approach and criteria to tie principles of induction and deduction to derive causal laws(i.e.,mapping functions)through explainable artificial intelligence(XAI)capable of describing new knowledge pertaining to structural engineering phenomena.The proposed approach and criteria are then examined via a case study.
基金supported by the National Key Research&Development Program of China(China-Israel 2022YFE0198000 and 3013005724)Zhejiang Science and Technology Major Program on Agricultural New Variety(2021C02067-7,2021C02066-5)+2 种基金Key Research Program of Zhejiang Province(2021C02041)the Italy-Israel Scientific Research Program(3013005619)the Natural Science Foundation of Zhejiang Province(LQ23C150006).
摘要Illuminating the phenotype-genotype black box under complex traits is an ambitious goal for researchers.The generation of temporally or spatially phenotypic data today has far outpaced its interpretation,due to their highly dynamic nature depending on the environment and developmental stages.Here,we propose an integrated enviro-pheno-geno functional approach to pinpoint the major challenges of decomposing physiological traits.The strategy first features high-throughput functional physiological phenotyping(FPP)to efficiently acquire phenotypic and environmental data.It then features functional mapping(FM)and the extended systems mapping(SM)to tackle trait dynamics.FM,by modeling traits as continuous functions,can increase the power and efficiency in dissecting the spatiotemporal effects of QTLs.SM could enable reconstruction of a genotype-phenotype map from developmental pathways.We present a recent case study that combines FPP and SM to dissect complex physiological traits.This integrated approach will be an important engine to drive the translation of phenomic big data into genetic gain.
摘要By establishing the concepts of fuzzy approaching set and fuzzy approaching functional mapping and making research on them, a new method for time series prediction is introduced.
基金supported by the National Key R&D Program of China(No.2024YFA1610803)the National Natural Science Foundation of China(Nos.12361141827 and 12175223).
摘要Machine learning techniques are increasingly used in high-energy nuclear physics because they can exploit multivariate correlations more efficiently than conventional cut-based analyses.A central challenge is the construction of training samples that faithfully reproduce the detector response observed in data.Signal samples are usually derived from detector simulations;therefore,mismatches between simulation and data can degrade classifier performance and introduce systematic biases.This work presents two practical correction procedures,namely cumulative distribution function(CDF)mapping and a shift-andscale transformation,to align simulated signal features with those measured in data.Their performance is demonstrated with J∕ψ yield measurements in■GeV Ru+Ru and Zr+Zr collisions recorded by STAR.A set of self-consistency tests shows that these procedures substantially suppress the systematic bias associated with data-simulation discrepancies in machine-learning-based signal extraction.
基金supported by the National Natural Science Foundation of China(No.32572116)the Fundamental Research Funds for the Central Universities(QNTD202503)the Interdisciplinary Project at the Shanghai Institute for Mathematics and Interdisciplinary Sciences(SIMIS-ID-2024-WN).
摘要Complex traits are controlled by many unknown genes,making it difficult to elucidate a global picture of the genotypephenotype map.Here,we develop a statistical mechanics model to contextualize all possible genes into informative,dynamic,omnidirectional,and personalized idopNetworks.This model,derived from the combination of functional mapping and evolutionary game theory,can visualize and trace how genes act and interact with each other to shape the genetic architecture of complex traits.The model can estimate changes in the genotypic value of one gene due to the influence of other genes,specifically on individual subjects,surpassing traditional quantitative genetic studies that can only capture the marginal effect of a gene at the population level.We reconstruct growth idopNetworks from a genome-wide mapping data in a woody plant,mei,identifying unique genetic interaction architecture that distinguishes between fast-growing trees and slow-growing trees.We perform computer simulation to validate the statistical power of the model.IdopNetworks can disentangle the genetic control mechanisms of complex traits and provide guidance on how to alter phenotypic values of specific individuals by promoting or inhibiting the expression of interactive genes.
基金the State Key Basic Research Program of China under Grant No.2004CB418304
摘要By using the modified mapping method, we find new exact solutions of the Petviashvili equation. The solutions obtained in this paper include Jacobian elliptic function solutions, combined Jacobian elliptic function solutions, soliton solutions, triangular function solutions.
基金This work is supported by the National Key R&D Program of China(2018YFB1800601)the Key R&D Program of Zhejiang Province(2021C01036,2020C01021)the Fundamental Research Funds for the Central Universities(Zhejiang University NGICS Platform:ZJUNGICS2021021).
摘要Service function chains(SFC)mapping takes the responsibility for managing virtual network functions(VNFs).In SFC mapping,existing solutions duplicate VNFs with redundant instances to provide high availability in response to failures.However,as a compromise,these solutions result in high resource consumption due to device maintenance.In this paper,we propose a novel method named dynamic backup sharing(DBS)that allows SFCs to dynamically share backups to reduce resource consumption.DBS formulates the problem of sharing backups among different VNFs as an integer linear programming(ILP).Thereafter,we design a novel online algorithm based on dynamic programming to solve the problem.The experimental results indicate that DBS outperforms state-ofthe-art works by reducing resource consumption and improving the number of accepted requests.
摘要Texture pattern mapping is one of the most important techniques for high quality image syn- thesis. It can largely enhance the visual richness of raster-scan images. In this paper is presented a new method of mapping planar texture pattern onto beta-spline curved surfaces——bilinear mapping method which can map planar texture pattern onto curved surfaces with less distortion, and also can fulfill the geometric transformation of the texture pattern on the curved surfaces by operating the pattern win- dow. It is valuable to both CAD/CAM in artistic field and computer graphics.
基金the China Scholarship Council under Grant No.201406070059.
摘要Three-dimensional(3D)shape registration is a challenging problem,especially for shapes under non-rigid transformations.In this paper,a 3D non-rigid shape registration method is proposed,called balanced functional maps(BFM).The BFM algorithm generalizes the point-based correspondence to functions.By choosing the Laplace-Beltrami eigenfunctions as the function basis,the transformations between shapes can be represented by the functional map(FM)matrix.In addition,many constraints on shape registration,such as the feature descriptor,keypoint,and salient region correspondence,can be formulated linearly using the matrix.By bi-directionally searching for the nearest neighbors of points’indicator functions in the function space,the point-based correspondence can be derived from FMs.We conducted several experiments on the Topology and Orchestration Specification for Cloud Applications(TOSCA)dataset and the Shape Completion and Animation of People(SCAPE)dataset.Experimental results show that the proposed BFM algorithm is effective and has superior performance than the state-of-the-art methods on both datasets.
基金supported by the Aeronautical Science Foundation of China (No. 05D01002)
摘要Coordinated mission decision-making is one of the core steps to effectively exploit the capabilities of cooperative attack of multiple aircrafts. However, the situational assessment is an essential base to realize the mission decision-making. Therefore, in this paper, we develop a mission decision-making method of multi-aircraft cooperatively attacking multi-target based on situational assessment. We have studied the situational assessment mathematical model based on the Dempster-Shafer(D-S) evidence theory and the mission decision-making mathematical model based on the game theory. The proposed mission decision-making method of antagonized airfight is validated by some simulation examples of a swarm of unmanned combat aerial vehicles(UCAVs)that carry out the mission of the suppressing of enemy air defenses(SEAD).
基金the NSFC grant 11872210 and the Science Challenge Project,No.TZ2016002the NSFC Grant 11926103 when he visited Tianyuan Mathematical Center in Southeast China,Xiamen 361005,Fujian,Chinathe NSFC Grant 12071392 and the Science Challenge Project,No.TZ2016002.
摘要In this paper,a new type of finite difference mapped weighted essentially non-oscillatory(MWENO)schemes with unequal-sized stencils,such as the seventh-order and ninthorder versions,is constructed for solving hyperbolic conservation laws.For the purpose of designing increasingly high-order finite difference WENO schemes,the equal-sized stencils are becoming more and more wider.The more we use wider candidate stencils,the bigger the probability of discontinuities lies in all stencils.Therefore,one innovation of these new WENO schemes is to introduce a new splitting stencil methodology to divide some fourpoint or five-point stencils into several smaller three-point stencils.By the usage of this new methodology in high-order spatial reconstruction procedure,we get different degree polynomials defined on these unequal-sized stencils,and calculate the linear weights,smoothness indicators,and nonlinear weights as specified in Jiang and Shu(J.Comput.Phys.126:202228,1996).Since the difference between the nonlinear weights and the linear weights is too big to keep the optimal order of accuracy in smooth regions,another crucial innovation is to present the new mapping functions which are used to obtain the mapped nonlinear weights and decrease the difference quantity between the mapped nonlinear weights and the linear weights,so as to keep the optimal order of accuracy in smooth regions.These new MWENO schemes can also be applied to compute some extreme examples,such as the double rarefaction wave problem,the Sedov blast wave problem,and the Leblanc problem with a normal CFL number.Extensive numerical results are provided to illustrate the good performance of the new finite difference MWENO schemes.
基金This project is supported by National Natural Science Foundation of China(No.50175031).
摘要Accurate boundary conditions of composite material plates with different holes are founded to settle boundary condition problems of complex holes by conformal mapping method upon the nonhomogeneous anisotropic elastic and complex function theory. And then the two stress functions required were founded on Cauchy integral by boundary conditions. The final stress distributions of opening structure and the analytical solution on composite material plate with rectangle hole and wing manholes were achieved. The influences on hole-edge stress concentration factors are discussed under different loads and fiber direction cases, and then contrast calculates are carried through FEM.
摘要An oblique edge crack problem in a semi-infinite plane is discussed. Re concentrated forces are applied on the edge crack face, or on the line boundary of the cracked semi-infinite plane. The rational mapping function approach is suggested to solve the boundary value problem and a solution in a closed form is obtained. Finally, several numerical examples with the calculated results are given.
基金the National Basic Research Program of China (973 Program),No.2009CB522900the Leading Talents of Medical Science in Shanghai,No.LJ06019the Shanghai Leading Academic Discipline Project,No.S30304
摘要Previous studies have demonstrated that electroacupuncture therapy is effective in the treatment of irritable bowel syndrome. However, the precise mechanism of this therapy is unknown. The present study served to investigate the effects of electroacupuncture therapy on treatment of patients with diarrhea-predominant irritable bowel syndrome (IBS). We compared brain activation maps based on the changes of cerebral glucose metabolism obtained by 18-fluorodeoxyglucose positron emission tomography scanning under three conditions: resting, rectal balloon distension and rectal balloon distension plus electroacupuncture. Under the resting condition, compared with healthy controls, IBS patients displayed an increasing regional cerebral metabolic rate of glucose over a wide range: bilateral superior temporal gyrus, right middle occipital gyrus, superior frontal gyrus and bilateral middle frontal gyrus. However, there was no significant activity in the visceral pain center. Compared with the resting condition, under the rectal balloon distension condition, patients with IBS had a greater regional cerebral metabolic rate of glucose in the prefrontal cortex, left anterior cingulate cortex, postcentral gyrus, precentral gyrus and temporal gyrus. Under the rectal balloon distension plus electroacupuncture condition, stimulation by electroacupuncture at Tianshu (ST 25) manifested a decreased regional cerebral metabolic rate of glucose in the left cingulate gyrus, right insula, right caudate nucleus, fusiform gyrus and hippocampal gyrus. Electroacupuncture therapy relieved abdominal pain, distension or discomfort by decreasing glucose metabolism in the brain.
基金This study was supported by the Basic Science Research Program through the National Research Foundation of Korea(NRF)funded by the Ministry of Education(NRF-2018R1D1A1B07049932).
摘要Low dynamic range(LDR)images captured by consumer cameras have a limited luminance range.As the conventional method for generating high dynamic range(HDR)images involves merging multiple-exposure LDR images of the same scene(assuming a stationary scene),we introduce a learning-based model for single-image HDR reconstruction.An input LDR image is sequentially segmented into the local region maps based on the cumulative histogram of the input brightness distribution.Using the local region maps,SParam-Net estimates the parameters of an inverse tone mapping function to generate a pseudo-HDR image.We process the segmented region maps as the input sequences on long short-term memory.Finally,a fast super-resolution convolutional neural network is used for HDR image reconstruction.The proposed method was trained and tested on datasets including HDR-Real,LDR-HDR-pair,and HDR-Eye.The experimental results revealed that HDR images can be generated more reliably than using contemporary end-to-end approaches.
基金supported by special grants of Beijing Forestry University.
摘要Extensive studies have revealed the ecological and evolutionary significance of phenotypic plasticity,but little is known about how it is inherited between generations and the genetic architecture of its transgenerational inheritance.To address these issues,we design a mapping study by growing Arabidopsis thaliana RILs in high-and low-light environments and further growing their offspring RILs from each maternal light environment in the same contrasting environments.This tree-like design of the controlled ecological experiment provides a framework for analysing the genetic regulation of phenotypic plasticity and its non-genetic inheritance.We implement the computational approach of functional mapping to identify specific QTLs for transgenerational phenotypic plasticity.By estimating and comparing the plastic response of leaf-number growth trajectories to light environment between generations,we find that the maternal environment affects phenotypic plasticity,whereas transgenerational plasticity is shaped by the offspring environment.The genetic architecture underlying the light-induced change of leaf number not only changes from parental to offspring generations,but also depends on the maternal environment the parental generation experienced and the offspring environment the offspring generation is experiencing.Most plasticity QTLs are annotated to the genomic regions of candidate genes for specific biological functions.Our computational-experimental design provides a unique insight into dissecting the non-genetic and genetic mechanisms of phenotypic plasticity shaping plant adaptation and evolution in various forms.
基金Project supported by the National Natural Science Foundation of China(Grant Nos.61072147 and 11271008)
摘要We propose a new fractional two-dimensional triangle function combination discrete chaotic map(2D-TFCDM)with the discrete fractional difference.Moreover,the chaos behaviors of the proposed map are observed and the bifurcation diagrams,the largest Lyapunov exponent plot,and the phase portraits are derived,respectively.Finally,with the secret keys generated by Menezes-Vanstone elliptic curve cryptosystem,we apply the discrete fractional map into color image encryption.After that,the image encryption algorithm is analyzed in four aspects and the result indicates that the proposed algorithm is more superior than the other algorithms.
基金supported by the National Natural Science Foundation of China(Grant No.10802043)
摘要In this paper, we investigate the well-known problem of a finite width strip with a single edge crack, which is useful in basic engineering and material science. By extending the configuration to a two-dimensional decagonal quasicrystal, we obtain the analytic solutions of modesⅠand Ⅱ using the transcendental function conformal mapping technique. Our calculation results provide an accurate estimate of the stress intensity factors K_Ⅰ and K_Ⅱ, which can be expressed in a quite simple form and are essential in the fracture theory of quasicrystals. Meanwhile, we suggest a generalized cohesive force model for the configuration to a two-dimensional decagonal quasicrystal. The results may provide theoretical guidance for the fracture theory of two-dimensional decagonal quasicrystals.