We study the time evolution problems of special initial values with two discontinuities for the defocusing mKdV equation.Based on the finite-gap integral method,Whitham modulation system of the defocusing m Kd V equat...We study the time evolution problems of special initial values with two discontinuities for the defocusing mKdV equation.Based on the finite-gap integral method,Whitham modulation system of the defocusing m Kd V equation is derived in the form of Riemann invariants,and full-time evolution results for six types of initial values with two discontinuities are obtained in detail.The regions where rarefaction waves interact with dispersive shock waves are thoroughly analyzed.Two novel phenomena,namely soliton trains and linear wave packets,are identified and their intrinsic mechanisms are systematically illustrated.All the results are verified by numerical simulations.展开更多
Scientific computing has become a cornerstone of modern scientific discovery and engineering innovation.With the rapid advancement of computational power and numerical algorithms,problems that were once analytically i...Scientific computing has become a cornerstone of modern scientific discovery and engineering innovation.With the rapid advancement of computational power and numerical algorithms,problems that were once analytically intractable can now be studied through accurate simulations and large-scale numerical experiments.Scientific computing provides a bridge between mathematical theory,computational algorithms,and real-world engineering applications,enabling researchers to model complex phenomena such as fluid flow,structural deformation,wave propagation,stochastic processes,and nonlinear dynamical systems.The special issue entitled“Scientific Computing and Its Application to Engineering Problems”was conceived to bring together high-quality research contributions that demonstrate the role of computational mathematics in solving challenging engineering problems.The issue highlights both theoretical advances in numerical methods and their practical deployment in real-world engineering scenarios,with emphasis on robustness,computational efficiency,stability,and scalability.展开更多
This study examines the mediating role of positive psychological capital and the moderating role of ethnicity in the relationship between mindfulness and internalizing/externalizing problems among adolescents.The stud...This study examines the mediating role of positive psychological capital and the moderating role of ethnicity in the relationship between mindfulness and internalizing/externalizing problems among adolescents.The study sample comprized Chinese adolescents(N=637 ethnic minority;females=40.97%,meam age=12.68,SD=0.49 years;N=636 Han;females=49.06%,mean age=12.71,SD=0.47 years).The participants completed the Child and Adolescent Mindfulness Measure,the Positive Psycap Questionnaire,and the Youth Self-Report.Results from the moderated mediation analysis showed mindfulness was negatively associated with both internalizing and externalizing problems.Ethnicity moderated the relationship between mindfulness and internalizing problems to be stronger for Han adolescents compared to ethnic minority adolescents.Psychological capital mediated the relationship between mindfulness and internalizing problems in both groups,with a negative direction.Findings support the Conservation of Resources theory and highlight mindfulness as a personal resource fostering adolescent well-being in multicultural contexts.展开更多
The global incidence of pediatric obesity has increased rapidly over the past few decades.Scientific evidence has repeatedly shown that behavioral and emotional challenges are frequently observed in children with over...The global incidence of pediatric obesity has increased rapidly over the past few decades.Scientific evidence has repeatedly shown that behavioral and emotional challenges are frequently observed in children with overweight or obesity[1-2],as evidenced by a landmark case-control design study revealing that obese children have 7.15 times higher odds of developing mental health disorders in adolescence than their normal-weight peers[1].展开更多
Owing to their global search capabilities and gradient-free operation,metaheuristic algorithms are widely applied to a wide range of optimization problems.However,their computational demands become prohibitive when ta...Owing to their global search capabilities and gradient-free operation,metaheuristic algorithms are widely applied to a wide range of optimization problems.However,their computational demands become prohibitive when tackling high-dimensional optimization challenges.To effectively address these challenges,this study introduces cooperative metaheuristics integrating dynamic dimension reduction(DR).Building upon particle swarm optimization(PSO)and differential evolution(DE),the proposed cooperative methods C-PSO and C-DE are developed.In the proposed methods,the modified principal components analysis(PCA)is utilized to reduce the dimension of design variables,thereby decreasing computational costs.The dynamic DR strategy implements periodic execution of modified PCA after a fixed number of iterations,resulting in the important dimensions being dynamically identified.Compared with the static one,the dynamic DR strategy can achieve precise identification of important dimensions,thereby enabling accelerated convergence toward optimal solutions.Furthermore,the influence of cumulative contribution rate thresholds on optimization problems with different dimensions is investigated.Metaheuristic algorithms(PSO,DE)and cooperative metaheuristics(C-PSO,C-DE)are examined by 15 benchmark functions and two engineering design problems(speed reducer and composite pressure vessel).Comparative results demonstrate that the cooperative methods achieve significantly superior performance compared to standard methods in both solution accuracy and computational efficiency.Compared to standard metaheuristic algorithms,cooperative metaheuristics achieve a reduction in computational cost of at least 40%.The cooperative metaheuristics can be effectively used to tackle both high-dimensional unconstrained and constrained optimization problems.展开更多
Recently,the zeroing neural network(ZNN)has demonstrated remarkable effectiveness in tackling time-varying problems,delivering robust performance across both noise-free and noisy environments.However,existing ZNN mode...Recently,the zeroing neural network(ZNN)has demonstrated remarkable effectiveness in tackling time-varying problems,delivering robust performance across both noise-free and noisy environments.However,existing ZNN models are limited in their ability to actively suppress noise,which constrains their robustness and precision in solving time-varying problems.This paper introduces a novel active noise rejection ZNN(ANR-ZNN)design that enhances noise suppression by integrating computational error dynamics and harmonic behaviour.Through rigorous theoretical analysis,we demonstrate that the proposed ANR-ZNN maintains robust convergence in computational error performance under environmental noise.As a case study,the ANR-ZNN model is specifically applied to time-varying matrix inversion.Comprehensive computer simulations and robotic experiments further validate the ANR-ZNN's effectiveness,emphasising the proposed design's superiority and potential for solving time-varying problems.展开更多
Backgrounds:Somatization and eating-related problems in adolescents living in residential care may be shaped by the interplay of risk and protective factors,including gender,relational trauma,attachment patterns,emoti...Backgrounds:Somatization and eating-related problems in adolescents living in residential care may be shaped by the interplay of risk and protective factors,including gender,relational trauma,attachment patterns,emotional intelligence,and perceived social support.This study examined how gender,relational trauma,attachment dimensions,resilience,and emotional intelligence contribute to the presence of somatic and eating difficulties in this population.Methods:The sample included 46 adolescents(63%female;ages 12–17,Mean=14.85,Standard Deviation(SD)=1.49)residing in child protection institutions in Uruguay.Participants completed self-report measures assessing childhood relational trauma(CaMir),attachment dimensions(anxiety and avoidance),resilience,emotional intelligence(adaptability and stress management),social support(MOS),and psychosocial adjustment(SENA subscales of somatization and eating problems).Using a fuzzy-set Qualitative Comparative Analysis(fsQCA)approach,distinct configurations of risk and protective factors associated with elevated levels of somatization and eating problems were identified.Results:Relational trauma and attachment anxiety showed moderate associations with both somatization and eating problems(r=0.52–0.57,p<0.01),whereas stress management was negatively associated with both outcomes(r=−0.37 to−0.47,p<0.05).FsQCA revealed multiple configurations of risk and protective factors explaining 81–90%of cases,with solution consistencies ranging from 0.83 to 0.87.Results suggest that relational trauma and attachment anxiety are key risk conditions,whereas resilience,emotional regulation,and perceived social support function as protective factors.Conclusions:Findings highlight the importance of considering multifactorial patterns of vulnerability and protection rather than single predictors and underscore the need for tailored interventions that strengthen resilience and emotional skills while addressing the impact of early relational trauma.展开更多
THE power industrial control system(power ICS)is thecore infrastructure that ensures the safe,stable,and efficient operation of power systems.Its architecture typi-cally adopts a hierarchical and partitioned end-edge-...THE power industrial control system(power ICS)is thecore infrastructure that ensures the safe,stable,and efficient operation of power systems.Its architecture typi-cally adopts a hierarchical and partitioned end-edge-cloud collaborative design.However,the large-scale integration ofdistributed renewable energy resources,coupled with the extensivedeployment of sensing and communication devices,has resulted inthe new-type power system characterized by dynamic complexityand high uncertainty[1]-[4].展开更多
Background:The growing parenting stress among Chinese mothers in recent years raises concerns about its impact on adolescent internalizing problems.The purpose of this study was to examine the curvilinear relationship...Background:The growing parenting stress among Chinese mothers in recent years raises concerns about its impact on adolescent internalizing problems.The purpose of this study was to examine the curvilinear relationship between maternal parenting stress and internalizing problems in adolescents,and further explore the moderating effects of family socioeconomic status(SES)and adolescent gender.Methods:Data were collected from 405 mothers and adolescents(203 boys,Meanage=12.23)across five cities(Beijing,Hebei,Shanxi,Shenzhen,and Shandong)in China,who completed self-report measures of maternal parenting stress and internalizing problems.Descriptive statistics and multiple regression analyses were conducted using SPSS 27.0.Results:Multiple regression analyses indicated that the association between maternal parenting stress2 and adolescents’internalizing problems was moderated by the interaction between gender and SES(b=−0.03,p<0.01).Specifically,a significant U-shaped relationship was observed among high-SES boys(b=0.12,t=3.89,p<0.001),with internalizing problems peaking at both low and high levels of maternal parenting stress,whereas the moderating effect of SES was not significant among girls.Conclusion:The study highlights that moderate maternal parenting stress is associated with lower internalizing problems among adolescents,particularly among high-SES boys,indicating that interventions should consider the optimal balance of parental stress and account for family socioeconomic and adolescent gender differences.展开更多
Physics-informed neural networks(PINNs)have recently emerged as a powerful tool to solve differential equations for nonlinear mechanics.However,PINNs struggle with singular perturbation problems due to their locally a...Physics-informed neural networks(PINNs)have recently emerged as a powerful tool to solve differential equations for nonlinear mechanics.However,PINNs struggle with singular perturbation problems due to their locally abrupt behavior and singularities.The Poincaré-Lighthill-Kuo(PLK)method has been efficiently used to address these problems by applying perturbation expansions to both dependent and independent variables.This paper proposes a combination of the PLK method and PINNs,termed PLK-PINNs.The PLK-PINNs employ a parametric expression through two neural networks:one representing the mapping from parametric variables to independent variables,and the other approximating the solution of dependent variables with respect to parametric variables.Moreover,an auxiliary loss term is proposed to constrain the Jacobian determinant of the mapping within a constant sign interval to ensure the bijectivity of the mapping.The effectiveness of the proposed method is demonstrated through tests on typical singularity-shift and secular-term problems,with conventional PINNs in comparison.展开更多
Background:Parental overparenting is highly prevalent in current Chinese families,and its psychological influences on adolescent mental health are of great academic and practical concern.However,limited research has e...Background:Parental overparenting is highly prevalent in current Chinese families,and its psychological influences on adolescent mental health are of great academic and practical concern.However,limited research has examined the potential curvilinear relationship between different dimensions of parental overparenting and adolescent internalizing problems,as well as the moderating roles of adolescent gender and age in these relationships.The purpose of this study was to examine the unique and potentially curvilinear effects of different dimensions of parental overparenting on adolescent internalizing problems in the context of contemporary Chinese families.Methods:Data were collected from 285 adolescents(147 male,Meanage=11.93)and their families across five cities in China at an initial assessment(Wave 1)and at a follow-up one year later(Wave 2).Hierarchical regression analyses were performed with SPSS 25.0 to examine the associations among the main variables.Results:The findings indicated that different dimensions of parental overparenting were differentially associated with adolescents’internalizing problems.Specifically,frequent comparisons of children’s achievements with peers positively and linearly predicted adolescents’internalizing problems at Wave 2(β=0.27,p<0.05).In addition,excessive affective involvement showed a U-shaped association with boys’internalizing problems(b=0.21,p<0.01),whereas excessive care exhibited a U-shaped association with adolescents’internalizing problems at Wave 2(b=0.19,p<0.05).Conclusions:These results suggest that different dimensions of overparenting impact adolescent development in various ways,highlighting the need for providing appropriate support and guidance without excessive control in family parenting practices.展开更多
An efficient and innovative method is presented for the stress-related structural topology optimization(TO)in coupled mechanical-pressure systems by leveraging flexible polygonal meshes.With a polytopal composite fini...An efficient and innovative method is presented for the stress-related structural topology optimization(TO)in coupled mechanical-pressure systems by leveraging flexible polygonal meshes.With a polytopal composite finite element approach,the volumetric locking in nearly incompressible materials is reduced.A fluid-flow-based model is built,in which a design-dependent pressure variable is introduced to capture the loading conditions within the system.The P-norm approach consolidates the stress metrics into a global measure,while the clustered regional scaling and adaptive techniques enhance the solutions for stress-limited cases.The primary contributions of this work include a novel framework for addressing the stress challenges in coupled mechanical-pressure systems via flow-based modeling,the adaptability to both compressible and nearly incompressible materials,and the compatibility with diverse mesh types,including triangular,quadrilateral,and polygonal elements.The numerical examples demonstrate,for the first time,optimized topologies for nearly incompressible materials under stress constraints in coupled mechanical-pressure environments,emphasizing the unique strength of this approach.展开更多
In this paper,we study the nonlinear Riemann boundary value problem with square roots that is represented by a Cauchy-type integral with kernel density in variable exponent Lebesgue spaces.We discuss the odd-order zer...In this paper,we study the nonlinear Riemann boundary value problem with square roots that is represented by a Cauchy-type integral with kernel density in variable exponent Lebesgue spaces.We discuss the odd-order zero-points distribution of the solutions and separate the single valued analytic branch of the solutions with square roots,then convert the problem to a Riemann boundary value problem in variable exponent Lebesgue spaces and discuss the singularity of solutions at individual zeros belonging to curve.We consider two types of cases those where the coefficient is Hölder and those where it is piecewise Hölder.Then we solve the Hilbert boundary value problem with square roots in variable exponent Lebesgue spaces.By discussing the distribution of the odd-order zero-points for solutions and the method of symmetric extension,we convert the Hilbert problem to a Riemann boundary value problem.The equivalence of the transformation is discussed.Finally,we get the solvable conditions and the direct expressions of the solutions in variable exponent Lebesgue spaces.展开更多
This paper is devoted to devising data-driven algorithms for finite-horizon and infinite-horizon linear quadratic stochastic optimal control(LQSOC)problems.In our study,the diffusion terms of system dynamics are permi...This paper is devoted to devising data-driven algorithms for finite-horizon and infinite-horizon linear quadratic stochastic optimal control(LQSOC)problems.In our study,the diffusion terms of system dynamics are permitted to hinge upon both control and state variables,and the weighting matrices of cost functionals are allowed to be indefinite.It is acknowledged that the optimal controls of finite-horizon and infinite-horizon indefinite LQSOC problems are correlated with a generalized differential Riccati equation(GDRE)and a generalized algebraic Riccati equation(GARE).Herein,we propose two data-driven algorithms to approximate the solutions of these Riccati equations,and thereby determine optimal controls,without leveraging the information of all system parameters.Additionally,we prove the convergence of these algorithms and examine the impact of computational errors.Finally,we validate the performance of these data-driven algorithms via three simulation examples.展开更多
In the whole construction process of engineering projects,the procurement cost of construction materials accounts for a large proportion of the total project cost,and its control effect directly affects the economic b...In the whole construction process of engineering projects,the procurement cost of construction materials accounts for a large proportion of the total project cost,and its control effect directly affects the economic benefits and overall construction benefits of the project,making it one of the core links in the management of construction engineering projects.At present,the overall development of China’s construction industry is in a good state,but most construction enterprises still have many deficiencies in the control of material procurement costs,failing to form a scientific and complete control system.This leads to frequent problems such as high procurement costs and resource waste,which restricts the sustainable development of enterprises.Combining with the actual workflow of construction material procurement,this paper analyzes the common problems existing in the current material procurement cost control process,and puts forward targeted and feasible countermeasures.It aims to provide a reasonable reference for construction enterprises to optimize procurement cost control and enhance core competitiveness,so as to promote the healthy and orderly development of the construction industry.展开更多
Undergraduate students majoring in clinical medicine are one of the important reserve forces of clinical doctors in China,and their pediatric clinical skills are directly related to their future clinical practice qual...Undergraduate students majoring in clinical medicine are one of the important reserve forces of clinical doctors in China,and their pediatric clinical skills are directly related to their future clinical practice quality and the diagnosis and treatment safety of children.At present,there are still some deficiencies in the training of pediatric clinical skills for undergraduate medical students,which restrict the effect of skill training and are difficult to meet the needs of pediatric clinical diagnosis and treatment positions.Focusing on four dimensions-teaching model,teaching resources,student learning,and assessment and incentive-this paper analyzes the existing problems in the training of pediatric clinical skills for undergraduate medical students and puts forward targeted solutions,aiming to provide references for optimizing the pediatric clinical skill training system and improving the pediatric clinical practice ability of undergraduate medical students.展开更多
With the wave of globalization is deepening,international trade is becoming more and more prosperous,and it has become a main driving force for the economic development of various countries.However,with the improvemen...With the wave of globalization is deepening,international trade is becoming more and more prosperous,and it has become a main driving force for the economic development of various countries.However,with the improvement of environmental protection awareness,environmental trade barriers have also become a difficult problem in international trade.These barriers are in the name of protecting the environment,but in fact they take trade liberalization and fairness as obstacles,bringing many barriers to international trade.Therefore,this study analyzes the problems of environmental trade barriers in international trade,with an aim to propose corresponding countermeasures and promote the healthy development of international trade.展开更多
An r-uniform hypergraph is linear if every two edges intersect in at most one vertex.The rexpansion Frof a graph F is the r-uniform hypergraph obtained from F by enlarging each edge of F with a vertex subset of size r...An r-uniform hypergraph is linear if every two edges intersect in at most one vertex.The rexpansion Frof a graph F is the r-uniform hypergraph obtained from F by enlarging each edge of F with a vertex subset of size r-2 disjoint from the vertex set of F such that distinct edges are enlarged by disjoint subsets.Let exrlin(n,Fr)and spexrlin(n,Fr)be the maximum number of edges and the maximum spectral radius of all Fr-free linear r-uniform hypergraphs with n vertices,respectively.In this paper,we present sharp(or asymptotic)bounds of exrlin(n,Fr)and spexrlin(n,Fr)by establishing a connection between the spectral radii of linear hypergraphs and those of their shadow graphs,where F is a(k+1)-color critical graph or a graph with chromatic number k.展开更多
In this article,using Bregman projections,we present parallel linesearch algorithms for finding the solution of the split common null point problem,the multiple-sets split equilibrium problem and the solution of the m...In this article,using Bregman projections,we present parallel linesearch algorithms for finding the solution of the split common null point problem,the multiple-sets split equilibrium problem and the solution of the multiple-sets split variational inequality problem in uniformly smooth and p-uniformly convex Banach spaces.To prove the strong convergence of the iterates generated by our algorithms,we do not need any auxiliary equilibrium problem.To demonstrate the applicability of our results,we present some numerical examples.To solve the minimization subproblems in our algorithms,we use the fmincon optimization toolbox in MATLAB R2015a.展开更多
Physics-informed neural networks(PINNs)have been shown as powerful tools for solving partial differential equations(PDEs)by embedding physical laws into the network training.Despite their remarkable results,complicate...Physics-informed neural networks(PINNs)have been shown as powerful tools for solving partial differential equations(PDEs)by embedding physical laws into the network training.Despite their remarkable results,complicated problems such as irregular boundary conditions(BCs)and discontinuous or high-frequency behaviors remain persistent challenges for PINNs.For these reasons,we propose a novel two-phase framework,where a neural network is first trained to represent shape functions that can capture the irregularity of BCs in the first phase,and then these neural network-based shape functions are used to construct boundary shape functions(BSFs)that exactly satisfy both essential and natural BCs in PINNs in the second phase.This scheme is integrated into both the strong-form and energy PINN approaches,thereby improving the quality of solution prediction in the cases of irregular BCs.In addition,this study examines the benefits and limitations of these approaches in handling discontinuous and high-frequency problems.Overall,our method offers a unified and flexible solution framework that addresses key limitations of existing PINN methods with higher accuracy and stability for general PDE problems in solid mechanics.展开更多
基金supported by the National Natural Science Foundation of China(Grant No.12301305).
摘要We study the time evolution problems of special initial values with two discontinuities for the defocusing mKdV equation.Based on the finite-gap integral method,Whitham modulation system of the defocusing m Kd V equation is derived in the form of Riemann invariants,and full-time evolution results for six types of initial values with two discontinuities are obtained in detail.The regions where rarefaction waves interact with dispersive shock waves are thoroughly analyzed.Two novel phenomena,namely soliton trains and linear wave packets,are identified and their intrinsic mechanisms are systematically illustrated.All the results are verified by numerical simulations.
摘要Scientific computing has become a cornerstone of modern scientific discovery and engineering innovation.With the rapid advancement of computational power and numerical algorithms,problems that were once analytically intractable can now be studied through accurate simulations and large-scale numerical experiments.Scientific computing provides a bridge between mathematical theory,computational algorithms,and real-world engineering applications,enabling researchers to model complex phenomena such as fluid flow,structural deformation,wave propagation,stochastic processes,and nonlinear dynamical systems.The special issue entitled“Scientific Computing and Its Application to Engineering Problems”was conceived to bring together high-quality research contributions that demonstrate the role of computational mathematics in solving challenging engineering problems.The issue highlights both theoretical advances in numerical methods and their practical deployment in real-world engineering scenarios,with emphasis on robustness,computational efficiency,stability,and scalability.
基金supported by the Guizhou Provincial Science and Technology Projects[Basic Science of Guizhou-[2024]Youth 309,Guizhou Platform Talents[2021]1350-046]Zunyi Science and Technology Cooperation[HZ(2024)311]+3 种基金Funding of the Chinese Academy of Social Sciences(2024SYZH005)Peking University Longitudinal Scientific Research Technical Service Project(G-252)Guizhou Provincial Graduate Student Research Fund Project(2024YJSKYJJ339)Zunyi Medical University Graduate Research Fund Project(ZYK206).
摘要This study examines the mediating role of positive psychological capital and the moderating role of ethnicity in the relationship between mindfulness and internalizing/externalizing problems among adolescents.The study sample comprized Chinese adolescents(N=637 ethnic minority;females=40.97%,meam age=12.68,SD=0.49 years;N=636 Han;females=49.06%,mean age=12.71,SD=0.47 years).The participants completed the Child and Adolescent Mindfulness Measure,the Positive Psycap Questionnaire,and the Youth Self-Report.Results from the moderated mediation analysis showed mindfulness was negatively associated with both internalizing and externalizing problems.Ethnicity moderated the relationship between mindfulness and internalizing problems to be stronger for Han adolescents compared to ethnic minority adolescents.Psychological capital mediated the relationship between mindfulness and internalizing problems in both groups,with a negative direction.Findings support the Conservation of Resources theory and highlight mindfulness as a personal resource fostering adolescent well-being in multicultural contexts.
基金Natural Science Foundation of Beijing Municipality under Grant No.7232057。
摘要The global incidence of pediatric obesity has increased rapidly over the past few decades.Scientific evidence has repeatedly shown that behavioral and emotional challenges are frequently observed in children with overweight or obesity[1-2],as evidenced by a landmark case-control design study revealing that obese children have 7.15 times higher odds of developing mental health disorders in adolescence than their normal-weight peers[1].
基金funded by National Natural Science Foundation of China(Nos.12402142,11832013 and 11572134)Natural Science Foundation of Hubei Province(No.2024AFB235)+1 种基金Hubei Provincial Department of Education Science and Technology Research Project(No.Q20221714)the Opening Foundation of Hubei Key Laboratory of Digital Textile Equipment(Nos.DTL2023019 and DTL2022012).
摘要Owing to their global search capabilities and gradient-free operation,metaheuristic algorithms are widely applied to a wide range of optimization problems.However,their computational demands become prohibitive when tackling high-dimensional optimization challenges.To effectively address these challenges,this study introduces cooperative metaheuristics integrating dynamic dimension reduction(DR).Building upon particle swarm optimization(PSO)and differential evolution(DE),the proposed cooperative methods C-PSO and C-DE are developed.In the proposed methods,the modified principal components analysis(PCA)is utilized to reduce the dimension of design variables,thereby decreasing computational costs.The dynamic DR strategy implements periodic execution of modified PCA after a fixed number of iterations,resulting in the important dimensions being dynamically identified.Compared with the static one,the dynamic DR strategy can achieve precise identification of important dimensions,thereby enabling accelerated convergence toward optimal solutions.Furthermore,the influence of cumulative contribution rate thresholds on optimization problems with different dimensions is investigated.Metaheuristic algorithms(PSO,DE)and cooperative metaheuristics(C-PSO,C-DE)are examined by 15 benchmark functions and two engineering design problems(speed reducer and composite pressure vessel).Comparative results demonstrate that the cooperative methods achieve significantly superior performance compared to standard methods in both solution accuracy and computational efficiency.Compared to standard metaheuristic algorithms,cooperative metaheuristics achieve a reduction in computational cost of at least 40%.The cooperative metaheuristics can be effectively used to tackle both high-dimensional unconstrained and constrained optimization problems.
基金supported by the National Science and Technology Major Project(2022ZD0119901)the National Natural Science Foundation of China under Grant(U2141234,62463004 and U24A20260)+1 种基金the Hainan Province Science and Technology Special Fund(ZDYF2024GXJS003)the Scientific Research Fund of Hainan University(KYQD(ZR)23025).
摘要Recently,the zeroing neural network(ZNN)has demonstrated remarkable effectiveness in tackling time-varying problems,delivering robust performance across both noise-free and noisy environments.However,existing ZNN models are limited in their ability to actively suppress noise,which constrains their robustness and precision in solving time-varying problems.This paper introduces a novel active noise rejection ZNN(ANR-ZNN)design that enhances noise suppression by integrating computational error dynamics and harmonic behaviour.Through rigorous theoretical analysis,we demonstrate that the proposed ANR-ZNN maintains robust convergence in computational error performance under environmental noise.As a case study,the ANR-ZNN model is specifically applied to time-varying matrix inversion.Comprehensive computer simulations and robotic experiments further validate the ANR-ZNN's effectiveness,emphasising the proposed design's superiority and potential for solving time-varying problems.
摘要Backgrounds:Somatization and eating-related problems in adolescents living in residential care may be shaped by the interplay of risk and protective factors,including gender,relational trauma,attachment patterns,emotional intelligence,and perceived social support.This study examined how gender,relational trauma,attachment dimensions,resilience,and emotional intelligence contribute to the presence of somatic and eating difficulties in this population.Methods:The sample included 46 adolescents(63%female;ages 12–17,Mean=14.85,Standard Deviation(SD)=1.49)residing in child protection institutions in Uruguay.Participants completed self-report measures assessing childhood relational trauma(CaMir),attachment dimensions(anxiety and avoidance),resilience,emotional intelligence(adaptability and stress management),social support(MOS),and psychosocial adjustment(SENA subscales of somatization and eating problems).Using a fuzzy-set Qualitative Comparative Analysis(fsQCA)approach,distinct configurations of risk and protective factors associated with elevated levels of somatization and eating problems were identified.Results:Relational trauma and attachment anxiety showed moderate associations with both somatization and eating problems(r=0.52–0.57,p<0.01),whereas stress management was negatively associated with both outcomes(r=−0.37 to−0.47,p<0.05).FsQCA revealed multiple configurations of risk and protective factors explaining 81–90%of cases,with solution consistencies ranging from 0.83 to 0.87.Results suggest that relational trauma and attachment anxiety are key risk conditions,whereas resilience,emotional regulation,and perceived social support function as protective factors.Conclusions:Findings highlight the importance of considering multifactorial patterns of vulnerability and protection rather than single predictors and underscore the need for tailored interventions that strengthen resilience and emotional skills while addressing the impact of early relational trauma.
基金partially supported by the National Natural Science Foundation of China(62293500,62293505,62233010,62503240)Natural Science Foundation of Jiangsu Province(BK20250679)。
摘要THE power industrial control system(power ICS)is thecore infrastructure that ensures the safe,stable,and efficient operation of power systems.Its architecture typi-cally adopts a hierarchical and partitioned end-edge-cloud collaborative design.However,the large-scale integration ofdistributed renewable energy resources,coupled with the extensivedeployment of sensing and communication devices,has resulted inthe new-type power system characterized by dynamic complexityand high uncertainty[1]-[4].
基金supported by the National Natural Science Foundation of China(32171069).
摘要Background:The growing parenting stress among Chinese mothers in recent years raises concerns about its impact on adolescent internalizing problems.The purpose of this study was to examine the curvilinear relationship between maternal parenting stress and internalizing problems in adolescents,and further explore the moderating effects of family socioeconomic status(SES)and adolescent gender.Methods:Data were collected from 405 mothers and adolescents(203 boys,Meanage=12.23)across five cities(Beijing,Hebei,Shanxi,Shenzhen,and Shandong)in China,who completed self-report measures of maternal parenting stress and internalizing problems.Descriptive statistics and multiple regression analyses were conducted using SPSS 27.0.Results:Multiple regression analyses indicated that the association between maternal parenting stress2 and adolescents’internalizing problems was moderated by the interaction between gender and SES(b=−0.03,p<0.01).Specifically,a significant U-shaped relationship was observed among high-SES boys(b=0.12,t=3.89,p<0.001),with internalizing problems peaking at both low and high levels of maternal parenting stress,whereas the moderating effect of SES was not significant among girls.Conclusion:The study highlights that moderate maternal parenting stress is associated with lower internalizing problems among adolescents,particularly among high-SES boys,indicating that interventions should consider the optimal balance of parental stress and account for family socioeconomic and adolescent gender differences.
基金supported by the National Natural Science Foundation of China Basic Science Center Program for“Multiscale Problems in Nonlinear Mechanics”(Grant No.11988102)Lei Zhang was also supported by the National Natural Science Foundation of China(Grant No.12202451).
摘要Physics-informed neural networks(PINNs)have recently emerged as a powerful tool to solve differential equations for nonlinear mechanics.However,PINNs struggle with singular perturbation problems due to their locally abrupt behavior and singularities.The Poincaré-Lighthill-Kuo(PLK)method has been efficiently used to address these problems by applying perturbation expansions to both dependent and independent variables.This paper proposes a combination of the PLK method and PINNs,termed PLK-PINNs.The PLK-PINNs employ a parametric expression through two neural networks:one representing the mapping from parametric variables to independent variables,and the other approximating the solution of dependent variables with respect to parametric variables.Moreover,an auxiliary loss term is proposed to constrain the Jacobian determinant of the mapping within a constant sign interval to ensure the bijectivity of the mapping.The effectiveness of the proposed method is demonstrated through tests on typical singularity-shift and secular-term problems,with conventional PINNs in comparison.
摘要Background:Parental overparenting is highly prevalent in current Chinese families,and its psychological influences on adolescent mental health are of great academic and practical concern.However,limited research has examined the potential curvilinear relationship between different dimensions of parental overparenting and adolescent internalizing problems,as well as the moderating roles of adolescent gender and age in these relationships.The purpose of this study was to examine the unique and potentially curvilinear effects of different dimensions of parental overparenting on adolescent internalizing problems in the context of contemporary Chinese families.Methods:Data were collected from 285 adolescents(147 male,Meanage=11.93)and their families across five cities in China at an initial assessment(Wave 1)and at a follow-up one year later(Wave 2).Hierarchical regression analyses were performed with SPSS 25.0 to examine the associations among the main variables.Results:The findings indicated that different dimensions of parental overparenting were differentially associated with adolescents’internalizing problems.Specifically,frequent comparisons of children’s achievements with peers positively and linearly predicted adolescents’internalizing problems at Wave 2(β=0.27,p<0.05).In addition,excessive affective involvement showed a U-shaped association with boys’internalizing problems(b=0.21,p<0.01),whereas excessive care exhibited a U-shaped association with adolescents’internalizing problems at Wave 2(b=0.19,p<0.05).Conclusions:These results suggest that different dimensions of overparenting impact adolescent development in various ways,highlighting the need for providing appropriate support and guidance without excessive control in family parenting practices.
基金National Research Foundation of Korea(No.2025-02303676)。
摘要An efficient and innovative method is presented for the stress-related structural topology optimization(TO)in coupled mechanical-pressure systems by leveraging flexible polygonal meshes.With a polytopal composite finite element approach,the volumetric locking in nearly incompressible materials is reduced.A fluid-flow-based model is built,in which a design-dependent pressure variable is introduced to capture the loading conditions within the system.The P-norm approach consolidates the stress metrics into a global measure,while the clustered regional scaling and adaptive techniques enhance the solutions for stress-limited cases.The primary contributions of this work include a novel framework for addressing the stress challenges in coupled mechanical-pressure systems via flow-based modeling,the adaptability to both compressible and nearly incompressible materials,and the compatibility with diverse mesh types,including triangular,quadrilateral,and polygonal elements.The numerical examples demonstrate,for the first time,optimized topologies for nearly incompressible materials under stress constraints in coupled mechanical-pressure environments,emphasizing the unique strength of this approach.
基金supported by the National Natural Science Foundation of China(11601525)the Natural Science Foundation of Hunan Province(2024JJ5412),the Changsha Municipal Natural Science Foundation(kq2402193).
摘要In this paper,we study the nonlinear Riemann boundary value problem with square roots that is represented by a Cauchy-type integral with kernel density in variable exponent Lebesgue spaces.We discuss the odd-order zero-points distribution of the solutions and separate the single valued analytic branch of the solutions with square roots,then convert the problem to a Riemann boundary value problem in variable exponent Lebesgue spaces and discuss the singularity of solutions at individual zeros belonging to curve.We consider two types of cases those where the coefficient is Hölder and those where it is piecewise Hölder.Then we solve the Hilbert boundary value problem with square roots in variable exponent Lebesgue spaces.By discussing the distribution of the odd-order zero-points for solutions and the method of symmetric extension,we convert the Hilbert problem to a Riemann boundary value problem.The equivalence of the transformation is discussed.Finally,we get the solvable conditions and the direct expressions of the solutions in variable exponent Lebesgue spaces.
基金supported in part by the National Key Research and Development Program of China(2022YFA1006100)the National Natural Science Foundation of China(61925306)the Natural Science Foundation of Shandong Province(ZR2019ZD42)。
摘要This paper is devoted to devising data-driven algorithms for finite-horizon and infinite-horizon linear quadratic stochastic optimal control(LQSOC)problems.In our study,the diffusion terms of system dynamics are permitted to hinge upon both control and state variables,and the weighting matrices of cost functionals are allowed to be indefinite.It is acknowledged that the optimal controls of finite-horizon and infinite-horizon indefinite LQSOC problems are correlated with a generalized differential Riccati equation(GDRE)and a generalized algebraic Riccati equation(GARE).Herein,we propose two data-driven algorithms to approximate the solutions of these Riccati equations,and thereby determine optimal controls,without leveraging the information of all system parameters.Additionally,we prove the convergence of these algorithms and examine the impact of computational errors.Finally,we validate the performance of these data-driven algorithms via three simulation examples.
摘要In the whole construction process of engineering projects,the procurement cost of construction materials accounts for a large proportion of the total project cost,and its control effect directly affects the economic benefits and overall construction benefits of the project,making it one of the core links in the management of construction engineering projects.At present,the overall development of China’s construction industry is in a good state,but most construction enterprises still have many deficiencies in the control of material procurement costs,failing to form a scientific and complete control system.This leads to frequent problems such as high procurement costs and resource waste,which restricts the sustainable development of enterprises.Combining with the actual workflow of construction material procurement,this paper analyzes the common problems existing in the current material procurement cost control process,and puts forward targeted and feasible countermeasures.It aims to provide a reasonable reference for construction enterprises to optimize procurement cost control and enhance core competitiveness,so as to promote the healthy and orderly development of the construction industry.
摘要Undergraduate students majoring in clinical medicine are one of the important reserve forces of clinical doctors in China,and their pediatric clinical skills are directly related to their future clinical practice quality and the diagnosis and treatment safety of children.At present,there are still some deficiencies in the training of pediatric clinical skills for undergraduate medical students,which restrict the effect of skill training and are difficult to meet the needs of pediatric clinical diagnosis and treatment positions.Focusing on four dimensions-teaching model,teaching resources,student learning,and assessment and incentive-this paper analyzes the existing problems in the training of pediatric clinical skills for undergraduate medical students and puts forward targeted solutions,aiming to provide references for optimizing the pediatric clinical skill training system and improving the pediatric clinical practice ability of undergraduate medical students.
摘要With the wave of globalization is deepening,international trade is becoming more and more prosperous,and it has become a main driving force for the economic development of various countries.However,with the improvement of environmental protection awareness,environmental trade barriers have also become a difficult problem in international trade.These barriers are in the name of protecting the environment,but in fact they take trade liberalization and fairness as obstacles,bringing many barriers to international trade.Therefore,this study analyzes the problems of environmental trade barriers in international trade,with an aim to propose corresponding countermeasures and promote the healthy development of international trade.
基金supported by the National Natural Science Foundation of China(Nos.12331012,11871073,11871329,11971164)。
摘要An r-uniform hypergraph is linear if every two edges intersect in at most one vertex.The rexpansion Frof a graph F is the r-uniform hypergraph obtained from F by enlarging each edge of F with a vertex subset of size r-2 disjoint from the vertex set of F such that distinct edges are enlarged by disjoint subsets.Let exrlin(n,Fr)and spexrlin(n,Fr)be the maximum number of edges and the maximum spectral radius of all Fr-free linear r-uniform hypergraphs with n vertices,respectively.In this paper,we present sharp(or asymptotic)bounds of exrlin(n,Fr)and spexrlin(n,Fr)by establishing a connection between the spectral radii of linear hypergraphs and those of their shadow graphs,where F is a(k+1)-color critical graph or a graph with chromatic number k.
摘要In this article,using Bregman projections,we present parallel linesearch algorithms for finding the solution of the split common null point problem,the multiple-sets split equilibrium problem and the solution of the multiple-sets split variational inequality problem in uniformly smooth and p-uniformly convex Banach spaces.To prove the strong convergence of the iterates generated by our algorithms,we do not need any auxiliary equilibrium problem.To demonstrate the applicability of our results,we present some numerical examples.To solve the minimization subproblems in our algorithms,we use the fmincon optimization toolbox in MATLAB R2015a.
基金Project supported by the Basic Science Research Program through the National Research Foundation(NRF)of Korea funded by the Ministry of Science and ICT(No.RS-2024-00337001)。
摘要Physics-informed neural networks(PINNs)have been shown as powerful tools for solving partial differential equations(PDEs)by embedding physical laws into the network training.Despite their remarkable results,complicated problems such as irregular boundary conditions(BCs)and discontinuous or high-frequency behaviors remain persistent challenges for PINNs.For these reasons,we propose a novel two-phase framework,where a neural network is first trained to represent shape functions that can capture the irregularity of BCs in the first phase,and then these neural network-based shape functions are used to construct boundary shape functions(BSFs)that exactly satisfy both essential and natural BCs in PINNs in the second phase.This scheme is integrated into both the strong-form and energy PINN approaches,thereby improving the quality of solution prediction in the cases of irregular BCs.In addition,this study examines the benefits and limitations of these approaches in handling discontinuous and high-frequency problems.Overall,our method offers a unified and flexible solution framework that addresses key limitations of existing PINN methods with higher accuracy and stability for general PDE problems in solid mechanics.