Dear Editor,This letter focuses on the synchronization of system state components under the constraint of convergence sequence.Firstly,we introduce the predefined-sequence-synchronized control problem,a unique synchro...Dear Editor,This letter focuses on the synchronization of system state components under the constraint of convergence sequence.Firstly,we introduce the predefined-sequence-synchronized control problem,a unique synchronization challenge where all state components must be synchronized to the origin following a predefined convergence sequence.A controller is proposed to solve the predefined-sequencesynchronized control problem in first-order affine systems,and the proposed controller can regulate the convergence sequence of state components by adjusting their ratios.展开更多
Exploring the spatiotemporal differences and convergence mechanisms of agricultural carbon emissions in China can contribute to global agricultural carbon emission reduction.Taking 31 provinces, municipalities, and au...Exploring the spatiotemporal differences and convergence mechanisms of agricultural carbon emissions in China can contribute to global agricultural carbon emission reduction.Taking 31 provinces, municipalities, and autonomous regions of China (excluding Hong Kong, Macao, and Taiwan due to data unavailability) as the study area, this paper estimated the agricultural carbon emission intensity (ACEI) during 1997-2022 and analyzed its spatiotemporal characteristics, decomposed its regional differences by using the Dagum Gini coefficient, and explored its convergence mechanism by adopting the spatial β-convergence and the Spatial Durbin Model (SDM). The result showed that China's ACEI has shown a downward trend during 1997-2022,with an average annual reduction rate of 4.71%, and the inter-regional difference continued to widen, with the inter-regional difference of 66.17%. The absolute β-convergence speed was lower than the conditional β-convergence speed, indicating that regional heterogeneity in agricultural production significantly accelerates spatial convergence. This effect was particularly pronounced in the central region, where favorable agricultural conditions contribute to the fastest convergence rate. In this process, social support and environmental regulation,application and innovation of agricultural technologies, as well as agricultural structure and development potential in different regions (eastern, central, and western regions)exhibited distinct spatiotemporal effects. These findings suggest that the hierarchical spatial pattern of ACEI in China results from the interaction of multiple systems,including the environmental, social, economic, and governmental dimensions.展开更多
Convolutional neural networks(CNNs)have shown remarkable success across numerous tasks such as image classification,yet the theoretical understanding of their convergence remains underdeveloped compared to their empir...Convolutional neural networks(CNNs)have shown remarkable success across numerous tasks such as image classification,yet the theoretical understanding of their convergence remains underdeveloped compared to their empirical achievements.In this paper,the first filter learning framework with convergence-guaranteed learning laws for end-to-end learning of deep CNNs is proposed.Novel update laws with convergence analysis are formulated based on the mathematical representation of each layer in convolutional neural networks.The proposed learning laws enable concurrent updates of weights across all layers of the deep convolutional neural network and the analysis shows that the training errors converge to certain bounds which are dependent on the approximation errors.Case studies are conducted on benchmark datasets and the results show that the proposed concurrent filter learning framework guarantees the convergence and offers more consistent and reliable results during training with a trade-off in performance compared to stochastic gradient descent methods.This framework represents a significant step towards enhancing the reliability and effectiveness of deep convolutional neural network by developing a theoretical analysis which allows practical implementation of the learning laws with automatic tuning of the learning rate to guarantee the convergence during training.展开更多
Unequal virtual water transfer may aggravate local water scarcity risk.However,the quantitative confirmation of a clear geographic convergence between virtual water transfer and water scarcity risk remains undetermine...Unequal virtual water transfer may aggravate local water scarcity risk.However,the quantitative confirmation of a clear geographic convergence between virtual water transfer and water scarcity risk remains undetermined.We present an analytical framework that reveals the spatial matching between global water scarcity risk and virtual water trade inequality.This framework integrates a three-dimensional water scarcity risk assessment,hybrid input-output analysis,pollution trade term construction,and geographic convergence identification.The framework is applied to 123 countries for long-term validation from 1991 to 2021.We show that despite global improvements in water efficiency and security,countries exceeding the maximum water vulnerability threshold have increased by 50%.South Asia is the largest net exporter of virtual water.Central Asia exhibits the most pronounced virtual water trade inequality.To achieve the same economic growth,Central Asia needs to pay several times the local water consumption costs of developed regions(15.9−83.6 times,2021).In the past 30 years,the average geographic convergence index exceeded 0.8.Countries facing severe water scarcity also exhibit pronounced inequalities in virtual water trade,indicating that a significant geographic convergence relationship exists.Effectively responding to this unsustainable relationship necessitates balancing both domestic resource risk management and global virtual water trade regulation.展开更多
The convergence rate is one of the key performance measures for Nash equilibrium(NE)seeking strategies.In this work,we present several novel fast decoupled/coupled time-varying neurodynamic optimization approaches wit...The convergence rate is one of the key performance measures for Nash equilibrium(NE)seeking strategies.In this work,we present several novel fast decoupled/coupled time-varying neurodynamic optimization approaches with fixed-time(FT)convergence to Nash equilibrium seeking in non-cooperative games.The dynamics trajectories are demonstrated to converge to the NE solution within a fixed time from any initial states.The proposed neurodynamic networks exhibit a faster convergence rate with appropriately selected time-varying coefficients.Additionally,the upper bounds of the convergence time of the proposed NE seeking networks are smaller than those for strategies with constant coefficients.The robustness of the proposed NE seeking neurodynamic approaches under bounded perturbations is further studied.The efficacy and practicality of the proposed NE seeking approaches are validated through simulations and field-programmable gate array(FPGA)experiments on duopoly market games.展开更多
Escalating demands for HD linear streaming and seamless mobility challenge 6G cellular networks,where 5G-optimized resource strategies approach saturation.Broadcast networks,with inherent spectral efficiency and cover...Escalating demands for HD linear streaming and seamless mobility challenge 6G cellular networks,where 5G-optimized resource strategies approach saturation.Broadcast networks,with inherent spectral efficiency and coverage advantages,offer complementary capacity.We propose a converged cellular-broadcast architecture integrating a novel 6G broadcast core,enabling dynamic cellular traffic offloading to broadcast networks while enhancing broadcast reception via cellular links.A User-perception optimization framework jointly addressing broadcast directionality,resource allocation,and power control is established and solved by an efficient multi-stage heuristic algorithm.Simulations confirm that the proposed broadcast core significantly alleviates cellular congestion and improves broadcast resource utilization by comparing with existing literature.Field trials in campus environments demonstrate consistent operational efficacy,validating the architecture’s practical feasibility for 6G media delivery.展开更多
Nereididae is a prolific annelid family widely distributed in the world oceans,especially in the Indo-Pacific Convergence Zone(IPCZ).However,its biogeographic pattern remains unexplored in IPCZ.To contribute to the un...Nereididae is a prolific annelid family widely distributed in the world oceans,especially in the Indo-Pacific Convergence Zone(IPCZ).However,its biogeographic pattern remains unexplored in IPCZ.To contribute to the understanding of biodiversity and biogeography of Nereididae in the IPCZ,we integrated historical data of species distributions with those of model-predicted ones to determine the biogeographic patterns of nereid species,from which we projected to its future distribution patterns for 2090-2100 under different climate scenarios(SSP1-1.9 and SSP5-8.5).Functional diversity within IPCZ was assessed using functional richness,functional evenness,and functional disparity.Divergence times within Nereididae were estimated using three DNA marker genes(COI,16S,and 18S rRNA),and a time tree was constructed based on a strict molecular clock model.The IPCZ was established as a key Nereididae biodiversity hotspot through distribution modelling of 256 species(44 genera),and temperature emerging as the predominant climatic driver of species distribution patterns.The distribution of species and functional diversity is notable for its non-centralized pattern.We projected that by the end of the century,areas of medium-to-high species richness will expand significantly under the low-emission SSP1-1.9 climate scenario.However,under the high-emission SSP5-8.5 scenario,the suitability of these regions significantly declines,posing an increasingly severe threat to biodiversity.In addition,by molecular clock analysis,we revealed that the evolutionary divergence of extant nereidid species occurred mainly in the Cretaceous and Jurassic,suggesting that paleogeographical and environmental events,such as oceanic anoxic events,might have played a pivotal role in shaping the evolutionary trajectory and ecological adaptations of marine annelids.These findings highlight the importance of considering both current biodiversity patterns and historical contexts in conservation planning,and provided insights into the potential factors on the biogeographic distribution and evolutionary processes of Nereididae.展开更多
Improvements in societal well-being are associated with varying levels of environmental impact across countries,posing amajor challenge for global sustainability.As climate and development agendas converge,there is gr...Improvements in societal well-being are associated with varying levels of environmental impact across countries,posing amajor challenge for global sustainability.As climate and development agendas converge,there is growing urgency to understand how countries can advance social progress while minimizing environmental harm.This study is motivated by the hypothesis that a just transition-defined as the shift toward low-carbon societies in which no one is left behind-requires convergence in countries’ability to decouple social progress from carbon emissions.We introduce the Carbon Efficiency of Social Progress(CESP),a composite indicator constructed as the ratio of per capita carbon footprint to the Social Progress Index(SPI),and analyze its dynamics across 160 countries from 1990 to 2020.Using time-varying factor models based on the Phillips and Sul methodology,we assess whether countries converge in their CESP performance globally and within emission-based subgroups.Our results reveal distinct patterns.Low-emitting countries(below 1.9 tCO2e per capita)exhibit signs of rapid convergence(β=0.50;SE=0.047).High-emitting countries(above 10 tCO2e per capita)also converge,though at a much slower rate(β=0.13;SE=0.179).By contrast,middle-emitting countries(1.9-10 tCO2e per capita)exhibit significant divergence(β=−0.58;SE=0.120).These findings indicate that while low-emitting nations follow relatively promising paths,middle-and high-emitting countries face structural barriers that hinder progress toward just transition.Our study contributes to the literature on sustainability convergence and offers insights into how countries can align social development with climate goals under the global just transition framework.展开更多
In this paper,we study a comprehensive mathematical model describing the problem of frictional contact between a nonlinear thermo-piezoelectric body and a rigid foundation with electrically conductive effect,in which ...In this paper,we study a comprehensive mathematical model describing the problem of frictional contact between a nonlinear thermo-piezoelectric body and a rigid foundation with electrically conductive effect,in which the contact conditions are described by a Signorini’s condition and Coulomb’s friction law.We derive the variational form of the contact problem which is a mixed system formulated by variational inequalities and equalities.Then,we use standard results on mixed problems and the Banach fixed-point theorem to prove the existence and uniqueness of the solution to the contact problem.Moreover,we demonstrate the convergence of a penalty method for this contact problem under consideration.Finally,finite element method is applied to the penalty contact problem and a strong convergence theorem is obtained.展开更多
In this paper,we consider convergence properties for generalized Schrödinger operators along tangential curves in ℝn×ℝ with less smoothness comparing with Lipschitz condition.Firstly,we obtain sharp converge...In this paper,we consider convergence properties for generalized Schrödinger operators along tangential curves in ℝn×ℝ with less smoothness comparing with Lipschitz condition.Firstly,we obtain sharp convergence rate for generalized Schrödinger operators with polynomial growth along tangential curves in ℝn×ℝ,n≥1.Secondly,we get the convergence result along a family of restricted tangential curves in ℝ×ℝ.As a corollary,we obtain the sharp Lp-Schrödinger maximal estimates along tangential curves in ℝ×ℝ.展开更多
A precise understanding of cardiac rhythm dynamics is fundamental for uncovering the mechanisms underlying arrhythmias and for guiding effective therapeutic strategies.In this study,we introduce a nonlinear coupled os...A precise understanding of cardiac rhythm dynamics is fundamental for uncovering the mechanisms underlying arrhythmias and for guiding effective therapeutic strategies.In this study,we introduce a nonlinear coupled oscillator model that captures the physiological interactions among the sinoatrial(SA)node,atrioventricular(AV)node,and Purkinje fibers.The model is formulated as a system of second-order differential equations incorporating inertial effects,damping,inter-nodal coupling,and a nonlinear perturbation term to represent pathological deviations.To uphold analytical precision,global stability and boundedness are examined using Lyapunov’s direct method.In parallel,the numerical performance of the system is assessed through the classical fourth-order Runge-Kutta(RK4)scheme,with convergence and stability analyzed under varying parameter regimes.Simulation results demonstrate that adjustments in damping coefficients,coupling strengths,and nonlinear contributions can induce transitions between normal cardiac rhythms and arrhythmic states,including conduction blocks and chaotic oscillations.All computational experiments were performed in both MATLAB and Wolfram Mathematica to ensure reproducibility and cross-validation.By integrating physiological relevance with analytical precision,the proposed framework provides a robust foundation for investigating rhythm disorders,supporting predictive diagnostics,and informing the development of control-oriented therapeutic interventions.展开更多
Solving time-varying nonlinear equations in real time is a significant challenge in modern computing.Dynamic Memristor-Inspired Zeroing Neural Networks(DMZNN)have shown strong performance in this field,but their conve...Solving time-varying nonlinear equations in real time is a significant challenge in modern computing.Dynamic Memristor-Inspired Zeroing Neural Networks(DMZNN)have shown strong performance in this field,but their convergence speed and robustness heavily rely on the design of the activation function.This paper proposes a novel hybrid activation function inspired by the nonlinear characteristics of memristors.By integrating cubic and sublinear terms,the proposed function facilitates multi-stage error decay,effectively addressing the slow convergence and poor noise resistance of traditional activation functions.Theoretical analysis shows that the DMZNN model,built upon this activation function,can converge in finite time.Robustness under parameter perturbations and additive noise is rigorously proven using Lyapunov theory.Simulation results demonstrate that the convergence speed of the DMZNN model is obviously faster than that of traditional ZNN models when solving second-order,third-order,and fourth-order time-varying nonlinear equations.Additionally,in the application of remote sensing image fusion,DMZNN outperforms traditional gradient-based methods in both fusion quality and processing speed,demonstrating its practical effectiveness and superiority in real-world applications.展开更多
This paper proposes a mixed primal-dual dynamical system with constant damping and Hessian-driven damping for solving linearly constrained optimization problems.The system consists of a second-order ordinary different...This paper proposes a mixed primal-dual dynamical system with constant damping and Hessian-driven damping for solving linearly constrained optimization problems.The system consists of a second-order ordinary differential equation(ODE)with Hessian-driven damping for the primal variable and a first-order ordinary differential equation for the dual variable.By constructing an appropriate Lyapunov function,we analyze the convergence properties of the primal-dual gap,the feasibility measure and the objective function value,and establish exponential convergence rates under suitable scaling coefficients.Based on a time discretization of the continuous-time system,we derive an inertial primal-dual algorithm and validate the theoretical findings through numerical experiments,demonstrating the effectiveness and robustness of the proposed method.展开更多
Island-arc magmatism is a crucial process in the Earth’s crustal growth.However,how the island-arc magma production rate(MPR)changes and the key influencing factors remains unclear.This study employs numerical models...Island-arc magmatism is a crucial process in the Earth’s crustal growth.However,how the island-arc magma production rate(MPR)changes and the key influencing factors remains unclear.This study employs numerical models to simulate island-arc growth,incorporating slab dehydration,mantle hydration and melting,and melt extraction.In addition,the impacts of convergence rate and slab dip angle on island-arc magma production were studied.Results suggest that,(1)MPR increases with higher convergence rates;high convergence rates enhance slab water transport efficiency and mantle wedge convection,thereby promoting water fraction and temperature in potential molten regions;(2)MPR initially rises and then falls as the slab dip angle varies from 30°to 45°,and to 60°.This variation is closely tied to water content in the wedge rather than mantle temperature.However,a higher slab dip promotes dehydration towards the potential-melting mantle wedge,which causes water to ascend to shallow areas and reduces the area of the potential molten region.Ultimately,a dip angle of 45°is optimal for retaining the most suitable water fraction and mantle wedge area,thereby maintaining the largest MPR;(3)convergence rate variation has a much larger influence on magma production rate than dip angle variation.When the convergence rate varies from 2 to 10 cm/a,the largest time-averaged MPR is 64.0 times the smallest one,whereas when the slab dip varies from 30°to 60°,the largest time-averaged MPR is only 3.5 times the smallest one.These findings align with numerous instances observed in modern-day subduction zones.展开更多
Designing novel van der Waals layered materials with low thermal conductivity and large power factor is important for the development of layered thermoelectric materials.Therefore,the novel van der Waals intercalated ...Designing novel van der Waals layered materials with low thermal conductivity and large power factor is important for the development of layered thermoelectric materials.Therefore,the novel van der Waals intercalated compound La2Bi4Cu2O6Se4,which is constructed by alternately stacking LaCuSeO and Bi2O2Se units along the c-axis in a 1:2 ratio,has designed for thermoelectric materials.The unique intercalated strategy leads to the four-band convergence at the valence band maximum,and the combination of multiple heavy band and light band,which significantly enhances the p-type doping power factor.The lattice thermal conductivities in La2Bi4Cu2O6Se4and LaCuSeO compounds are accurately calculated by considering the coherence contributions of the anharmonic phonon reformulations and the off-diagonal term of the heat flux operator.The weak bond property of the Cu d-Se p bonding causes phonon softening,reducing the lattice thermal conductivity.The intercalated Bi atom has stereochemically active lone-pair electrons,which causes acoustic-optical coupling and produces strong fourth acoustic-optical phonon scattering,suppressing low-frequency phonon transport.The carrier relaxation time is rationalized by considering multiple carrier scattering mechanisms.The p-type doping La2Bi4Cu2O6Se4achieves an average ZT of 2.3 at 700 K,and an optimal ZT of 2.7 along the in-plane direction.Our current work not only reveals the origin of the strong phonon scattering and large power factor of La2Bi4Cu2O6Se4compound,but also provides theoretical guidance for the design of La-based layered oxides for thermoelectric applications.展开更多
The 13-node quadrilateral and 39-node hexahedral cubic serendipity elements produce nodally integrated positive-definite lumped heat capacity matrices in higher-order finite element analysis.However,these elements dis...The 13-node quadrilateral and 39-node hexahedral cubic serendipity elements produce nodally integrated positive-definite lumped heat capacity matrices in higher-order finite element analysis.However,these elements display severe convergence deterioration in explicit transient heat conduction analysis with lumped heat ca-pacity matrices.This convergence decay is due to the violation of variational integration consistency by the standard Galerkin formulation with lumped heat capacity matrices.This issue is resolved by introducing the boundary-enhanced Galerkin weak form that incorporates the elemental boundary contribution in the discrete finite element formulation.Subsequently,it is theoretically proven that a direct nodal integration identically fulfills the variational integration consistency in the context of the boundary-enhanced Galerkin weak form.The proposed variationally consistent nodal integration therefore enables optimal convergence for explicit transient heat conduction analysis with lumped heat capacity matrices.The efficacy of the proposed variationally con-sistent nodal integration formulation for the 13-node quadrilateral and 39-node hexahedral cubic elements is thoroughly demonstrated via numerical examples.展开更多
The harmonic balance method(HBM)has been widely applied to get the periodic solution of nonlinear systems,however,its convergence rate as well as computation efficiency is dramatically degraded when the system is high...The harmonic balance method(HBM)has been widely applied to get the periodic solution of nonlinear systems,however,its convergence rate as well as computation efficiency is dramatically degraded when the system is highly non-smooth,e.g.,discontinuous.In order to accelerate the convergence,an enriched HBM is developed in this paper where the non-smooth Bernoulli bases are additionally introduced to enrich the conventional Fourier bases.The basic idea behind is that the convergence rate of the HB solution,as a truncated Fourier series,can be improved if the smoothness of the solution becomes finer.Along this line,using non-smooth Bernoulli bases can compensate the highly non-smooth part of the solution and then,the smoothness of the residual part for Fourier approximation is improved so as to achieve accelerated convergence.Numerical examples are conducted on systems with non-smooth restoring and/or external forces.The results confirm that the proposed enriched HBM indeed increases the convergence rate and the increase becomes more significant if more non-smooth bases are used.展开更多
In this paper,the author obtains complete convergence for the maximum partial sums of m-widely orthant dependent(m-WOD)random variables sequences under some general conditions.The results extend the complete convergen...In this paper,the author obtains complete convergence for the maximum partial sums of m-widely orthant dependent(m-WOD)random variables sequences under some general conditions.The results extend the complete convergence for m-WOD random variables to a much more general type complete convergence.As the sequences of m-WOD random variables represent a very broad class of dependent sequences,the results improve and generalize the corresponding ones in the literature.展开更多
This study looks at how the Belt and Road Initiative(BRI)has affected the economic convergence of the Central Asian Turkic Republics,China,Pakistan,and their major diplomatic partners in the Silk Road region.Using bet...This study looks at how the Belt and Road Initiative(BRI)has affected the economic convergence of the Central Asian Turkic Republics,China,Pakistan,and their major diplomatic partners in the Silk Road region.Using beta and sigma convergence models over a predetermined time frame,the research evaluates economic alignment trends statistically and looks into how trade openness,FDI,and human capital affect the convergence process.The research attempts to discover larger causes of convergence,such as institutional quality and geopolitical closeness,by combining econometric analysis with regional economic dynamics.The purpose of the results is to provide policy suggestions that will improve equitable and sustainable economic convergence inside the Silk Road circle,promoting international cooperation and growth.展开更多
Comprehending regional characteristics and influencing factors of China's inbound tourism economy is im- portant to make effective policies that will help inbound tourism develop harmoniously and shrink regional disp...Comprehending regional characteristics and influencing factors of China's inbound tourism economy is im- portant to make effective policies that will help inbound tourism develop harmoniously and shrink regional disparity. This paper studied the regional disparity and convergence of China's inbound tourism economy during 1996-2008 with the methods of a-convergence, club convergence and r-convergence. The results indicate that 1) inbound tourism receipts per capita (ITRPC) of the whole country, the eastern, central and western regions presented the rapid increasing trend; 2) ITRPC of the whole country was characterized by convergence; 3) the eastern region presented club con- vergence, but the central and western regions did not show this trend; 4) the star-hotel levels and investment in fixed assets for the tourism industry per capita had a same trend to growth rates of ITRPC, promoting inbound tourism de- velopment, and there was no difference among the 31 provinces (municipalities) in the mainland of China; 5) but the proportion of employed persons in the tourism industry accounting for total population and the proportion of the terti- ary industry accounting for GDP had a reversal trend to growth rates of ITRPC, shrinking the provincial disparity in inbound tourism economy, and there were differences between the developed provinces and the developing provinces. Based on these analyses, we put forward some suggestions for the developing provinces to speed up inbound tourism economy.展开更多
基金supported in part by the National Natural Science Foundation of China(62103028)China Postdoctoral Science Foundation(2024M762602)。
摘要Dear Editor,This letter focuses on the synchronization of system state components under the constraint of convergence sequence.Firstly,we introduce the predefined-sequence-synchronized control problem,a unique synchronization challenge where all state components must be synchronized to the origin following a predefined convergence sequence.A controller is proposed to solve the predefined-sequencesynchronized control problem in first-order affine systems,and the proposed controller can regulate the convergence sequence of state components by adjusting their ratios.
基金supported by the National Social Science Foundation of China(22BGL182).
摘要Exploring the spatiotemporal differences and convergence mechanisms of agricultural carbon emissions in China can contribute to global agricultural carbon emission reduction.Taking 31 provinces, municipalities, and autonomous regions of China (excluding Hong Kong, Macao, and Taiwan due to data unavailability) as the study area, this paper estimated the agricultural carbon emission intensity (ACEI) during 1997-2022 and analyzed its spatiotemporal characteristics, decomposed its regional differences by using the Dagum Gini coefficient, and explored its convergence mechanism by adopting the spatial β-convergence and the Spatial Durbin Model (SDM). The result showed that China's ACEI has shown a downward trend during 1997-2022,with an average annual reduction rate of 4.71%, and the inter-regional difference continued to widen, with the inter-regional difference of 66.17%. The absolute β-convergence speed was lower than the conditional β-convergence speed, indicating that regional heterogeneity in agricultural production significantly accelerates spatial convergence. This effect was particularly pronounced in the central region, where favorable agricultural conditions contribute to the fastest convergence rate. In this process, social support and environmental regulation,application and innovation of agricultural technologies, as well as agricultural structure and development potential in different regions (eastern, central, and western regions)exhibited distinct spatiotemporal effects. These findings suggest that the hierarchical spatial pattern of ACEI in China results from the interaction of multiple systems,including the environmental, social, economic, and governmental dimensions.
基金supported by the Ministry of Education(MOE)Singapore,Academic Research Fund(AcRF)Tier 1(RG65/22)。
摘要Convolutional neural networks(CNNs)have shown remarkable success across numerous tasks such as image classification,yet the theoretical understanding of their convergence remains underdeveloped compared to their empirical achievements.In this paper,the first filter learning framework with convergence-guaranteed learning laws for end-to-end learning of deep CNNs is proposed.Novel update laws with convergence analysis are formulated based on the mathematical representation of each layer in convolutional neural networks.The proposed learning laws enable concurrent updates of weights across all layers of the deep convolutional neural network and the analysis shows that the training errors converge to certain bounds which are dependent on the approximation errors.Case studies are conducted on benchmark datasets and the results show that the proposed concurrent filter learning framework guarantees the convergence and offers more consistent and reliable results during training with a trade-off in performance compared to stochastic gradient descent methods.This framework represents a significant step towards enhancing the reliability and effectiveness of deep convolutional neural network by developing a theoretical analysis which allows practical implementation of the learning laws with automatic tuning of the learning rate to guarantee the convergence during training.
基金supported by National Natural Science Foundation of China(Grant No.52279027)National Key R&D Program of China(Grant No.2021YFC3200201)+1 种基金Key Research Project on Decision Consultation of the Strategic Development Department of China Association for Science and Technology(Grant No.2023070615CG111504)China Engineering Science and Technology Development Strategy Henan Research Institute Strategic Consulting Research Project(Grant No.2024HENYB01).
摘要Unequal virtual water transfer may aggravate local water scarcity risk.However,the quantitative confirmation of a clear geographic convergence between virtual water transfer and water scarcity risk remains undetermined.We present an analytical framework that reveals the spatial matching between global water scarcity risk and virtual water trade inequality.This framework integrates a three-dimensional water scarcity risk assessment,hybrid input-output analysis,pollution trade term construction,and geographic convergence identification.The framework is applied to 123 countries for long-term validation from 1991 to 2021.We show that despite global improvements in water efficiency and security,countries exceeding the maximum water vulnerability threshold have increased by 50%.South Asia is the largest net exporter of virtual water.Central Asia exhibits the most pronounced virtual water trade inequality.To achieve the same economic growth,Central Asia needs to pay several times the local water consumption costs of developed regions(15.9−83.6 times,2021).In the past 30 years,the average geographic convergence index exceeded 0.8.Countries facing severe water scarcity also exhibit pronounced inequalities in virtual water trade,indicating that a significant geographic convergence relationship exists.Effectively responding to this unsustainable relationship necessitates balancing both domestic resource risk management and global virtual water trade regulation.
基金supported in part by the National Natural Science Foundation of China(62403336,62373262,62373310)the Research Grants Council of Hong Kong(CityU-11208223,CityU-11213023,CityU-11205724)+2 种基金the China Postdoctoral Science Foundation(2023M742457)the Postdoctoral Fellowship Program(Grade B)of China Postdoctoral Science Foundation(GZB20230467)the Foundation of Key Laboratory of System Control and Information Processing of Ministry of Education of China(Scip20240107)。
摘要The convergence rate is one of the key performance measures for Nash equilibrium(NE)seeking strategies.In this work,we present several novel fast decoupled/coupled time-varying neurodynamic optimization approaches with fixed-time(FT)convergence to Nash equilibrium seeking in non-cooperative games.The dynamics trajectories are demonstrated to converge to the NE solution within a fixed time from any initial states.The proposed neurodynamic networks exhibit a faster convergence rate with appropriately selected time-varying coefficients.Additionally,the upper bounds of the convergence time of the proposed NE seeking networks are smaller than those for strategies with constant coefficients.The robustness of the proposed NE seeking neurodynamic approaches under bounded perturbations is further studied.The efficacy and practicality of the proposed NE seeking approaches are validated through simulations and field-programmable gate array(FPGA)experiments on duopoly market games.
基金supported in part by the National Key Research and Development Project of China under Grant 2023YFB2906200in part by the National Natural Science Foundation of China Program under Grant62271316+1 种基金in part by the Fundamental Research Funds for the Central UniversitiesShanghai Key Laboratory of Digital Media Processing under Grant STCSM 18DZ2270700
摘要Escalating demands for HD linear streaming and seamless mobility challenge 6G cellular networks,where 5G-optimized resource strategies approach saturation.Broadcast networks,with inherent spectral efficiency and coverage advantages,offer complementary capacity.We propose a converged cellular-broadcast architecture integrating a novel 6G broadcast core,enabling dynamic cellular traffic offloading to broadcast networks while enhancing broadcast reception via cellular links.A User-perception optimization framework jointly addressing broadcast directionality,resource allocation,and power control is established and solved by an efficient multi-stage heuristic algorithm.Simulations confirm that the proposed broadcast core significantly alleviates cellular congestion and improves broadcast resource utilization by comparing with existing literature.Field trials in campus environments demonstrate consistent operational efficacy,validating the architecture’s practical feasibility for 6G media delivery.
基金Supported by the Strategic Priority Research Program of the Chinese Academy of Sciences(No.XDB42000000)the National Natural Science Foundation of China(No.42376092)the Marine S&T Fund of Shandong Province for Pilot National Laboratory for Marine Science and Technology(No.2022QNLM030004)。
摘要Nereididae is a prolific annelid family widely distributed in the world oceans,especially in the Indo-Pacific Convergence Zone(IPCZ).However,its biogeographic pattern remains unexplored in IPCZ.To contribute to the understanding of biodiversity and biogeography of Nereididae in the IPCZ,we integrated historical data of species distributions with those of model-predicted ones to determine the biogeographic patterns of nereid species,from which we projected to its future distribution patterns for 2090-2100 under different climate scenarios(SSP1-1.9 and SSP5-8.5).Functional diversity within IPCZ was assessed using functional richness,functional evenness,and functional disparity.Divergence times within Nereididae were estimated using three DNA marker genes(COI,16S,and 18S rRNA),and a time tree was constructed based on a strict molecular clock model.The IPCZ was established as a key Nereididae biodiversity hotspot through distribution modelling of 256 species(44 genera),and temperature emerging as the predominant climatic driver of species distribution patterns.The distribution of species and functional diversity is notable for its non-centralized pattern.We projected that by the end of the century,areas of medium-to-high species richness will expand significantly under the low-emission SSP1-1.9 climate scenario.However,under the high-emission SSP5-8.5 scenario,the suitability of these regions significantly declines,posing an increasingly severe threat to biodiversity.In addition,by molecular clock analysis,we revealed that the evolutionary divergence of extant nereidid species occurred mainly in the Cretaceous and Jurassic,suggesting that paleogeographical and environmental events,such as oceanic anoxic events,might have played a pivotal role in shaping the evolutionary trajectory and ecological adaptations of marine annelids.These findings highlight the importance of considering both current biodiversity patterns and historical contexts in conservation planning,and provided insights into the potential factors on the biogeographic distribution and evolutionary processes of Nereididae.
基金supported by Project PID2023-148534NB-I00,funded by the Ministerio de Ciencia,Innovación y Universidades,Agencia Estatal de Investigación MCIN/AEI/10.13039/501100011033/FEDER,UE.
摘要Improvements in societal well-being are associated with varying levels of environmental impact across countries,posing amajor challenge for global sustainability.As climate and development agendas converge,there is growing urgency to understand how countries can advance social progress while minimizing environmental harm.This study is motivated by the hypothesis that a just transition-defined as the shift toward low-carbon societies in which no one is left behind-requires convergence in countries’ability to decouple social progress from carbon emissions.We introduce the Carbon Efficiency of Social Progress(CESP),a composite indicator constructed as the ratio of per capita carbon footprint to the Social Progress Index(SPI),and analyze its dynamics across 160 countries from 1990 to 2020.Using time-varying factor models based on the Phillips and Sul methodology,we assess whether countries converge in their CESP performance globally and within emission-based subgroups.Our results reveal distinct patterns.Low-emitting countries(below 1.9 tCO2e per capita)exhibit signs of rapid convergence(β=0.50;SE=0.047).High-emitting countries(above 10 tCO2e per capita)also converge,though at a much slower rate(β=0.13;SE=0.179).By contrast,middle-emitting countries(1.9-10 tCO2e per capita)exhibit significant divergence(β=−0.58;SE=0.120).These findings indicate that while low-emitting nations follow relatively promising paths,middle-and high-emitting countries face structural barriers that hinder progress toward just transition.Our study contributes to the literature on sustainability convergence and offers insights into how countries can align social development with climate goals under the global just transition framework.
基金supported by the Project for Outstanding Young Talents in Bagui of Guangxi,the Natural Science Foundation of Guangxi(2021GXNSFFA196004,2024GXNSFBA010337)the NSFC(12371312)+2 种基金the Natural Science Foundation of Chongqing(CSTB2024NSCQ-JQX0033)supported by the Postdoctoral Fellowship Program of CPSF(GZC20241534)the Startup Project of Postdoctoral Scientific Research of Zhejiang Normal University(ZC304023924).
摘要In this paper,we study a comprehensive mathematical model describing the problem of frictional contact between a nonlinear thermo-piezoelectric body and a rigid foundation with electrically conductive effect,in which the contact conditions are described by a Signorini’s condition and Coulomb’s friction law.We derive the variational form of the contact problem which is a mixed system formulated by variational inequalities and equalities.Then,we use standard results on mixed problems and the Banach fixed-point theorem to prove the existence and uniqueness of the solution to the contact problem.Moreover,we demonstrate the convergence of a penalty method for this contact problem under consideration.Finally,finite element method is applied to the penalty contact problem and a strong convergence theorem is obtained.
基金supported by the National Key R&D Program of China(2023YFA1010800)the NSFC(12271435,12301113).
摘要In this paper,we consider convergence properties for generalized Schrödinger operators along tangential curves in ℝn×ℝ with less smoothness comparing with Lipschitz condition.Firstly,we obtain sharp convergence rate for generalized Schrödinger operators with polynomial growth along tangential curves in ℝn×ℝ,n≥1.Secondly,we get the convergence result along a family of restricted tangential curves in ℝ×ℝ.As a corollary,we obtain the sharp Lp-Schrödinger maximal estimates along tangential curves in ℝ×ℝ.
摘要A precise understanding of cardiac rhythm dynamics is fundamental for uncovering the mechanisms underlying arrhythmias and for guiding effective therapeutic strategies.In this study,we introduce a nonlinear coupled oscillator model that captures the physiological interactions among the sinoatrial(SA)node,atrioventricular(AV)node,and Purkinje fibers.The model is formulated as a system of second-order differential equations incorporating inertial effects,damping,inter-nodal coupling,and a nonlinear perturbation term to represent pathological deviations.To uphold analytical precision,global stability and boundedness are examined using Lyapunov’s direct method.In parallel,the numerical performance of the system is assessed through the classical fourth-order Runge-Kutta(RK4)scheme,with convergence and stability analyzed under varying parameter regimes.Simulation results demonstrate that adjustments in damping coefficients,coupling strengths,and nonlinear contributions can induce transitions between normal cardiac rhythms and arrhythmic states,including conduction blocks and chaotic oscillations.All computational experiments were performed in both MATLAB and Wolfram Mathematica to ensure reproducibility and cross-validation.By integrating physiological relevance with analytical precision,the proposed framework provides a robust foundation for investigating rhythm disorders,supporting predictive diagnostics,and informing the development of control-oriented therapeutic interventions.
基金supported by the National Natural Science Foundation of China(Nos.61404049,62273141)Natural Science Foundation of Hunan Province(Grant No:2020JJ6031)+2 种基金Key Project of Hunan Provincial Education Department(Grant No:22A0324)Scientific Research Fund of Education Department of Hunan Province(Grant No:17B094)Special Program of National Innovative City Construction of Xiangtan(Grant No:NY-YB20221042).
摘要Solving time-varying nonlinear equations in real time is a significant challenge in modern computing.Dynamic Memristor-Inspired Zeroing Neural Networks(DMZNN)have shown strong performance in this field,but their convergence speed and robustness heavily rely on the design of the activation function.This paper proposes a novel hybrid activation function inspired by the nonlinear characteristics of memristors.By integrating cubic and sublinear terms,the proposed function facilitates multi-stage error decay,effectively addressing the slow convergence and poor noise resistance of traditional activation functions.Theoretical analysis shows that the DMZNN model,built upon this activation function,can converge in finite time.Robustness under parameter perturbations and additive noise is rigorously proven using Lyapunov theory.Simulation results demonstrate that the convergence speed of the DMZNN model is obviously faster than that of traditional ZNN models when solving second-order,third-order,and fourth-order time-varying nonlinear equations.Additionally,in the application of remote sensing image fusion,DMZNN outperforms traditional gradient-based methods in both fusion quality and processing speed,demonstrating its practical effectiveness and superiority in real-world applications.
基金supported by the National Natural Science Foundation of China(No.12571186)the Central Government Guided Local Science and Technology Development Project(No.2024ZYD0059)。
摘要This paper proposes a mixed primal-dual dynamical system with constant damping and Hessian-driven damping for solving linearly constrained optimization problems.The system consists of a second-order ordinary differential equation(ODE)with Hessian-driven damping for the primal variable and a first-order ordinary differential equation for the dual variable.By constructing an appropriate Lyapunov function,we analyze the convergence properties of the primal-dual gap,the feasibility measure and the objective function value,and establish exponential convergence rates under suitable scaling coefficients.Based on a time discretization of the continuous-time system,we derive an inertial primal-dual algorithm and validate the theoretical findings through numerical experiments,demonstrating the effectiveness and robustness of the proposed method.
基金Supported by the National Natural Science Foundation of China(Nos.42176068,42476063,92058213,42376081,42121005)。
摘要Island-arc magmatism is a crucial process in the Earth’s crustal growth.However,how the island-arc magma production rate(MPR)changes and the key influencing factors remains unclear.This study employs numerical models to simulate island-arc growth,incorporating slab dehydration,mantle hydration and melting,and melt extraction.In addition,the impacts of convergence rate and slab dip angle on island-arc magma production were studied.Results suggest that,(1)MPR increases with higher convergence rates;high convergence rates enhance slab water transport efficiency and mantle wedge convection,thereby promoting water fraction and temperature in potential molten regions;(2)MPR initially rises and then falls as the slab dip angle varies from 30°to 45°,and to 60°.This variation is closely tied to water content in the wedge rather than mantle temperature.However,a higher slab dip promotes dehydration towards the potential-melting mantle wedge,which causes water to ascend to shallow areas and reduces the area of the potential molten region.Ultimately,a dip angle of 45°is optimal for retaining the most suitable water fraction and mantle wedge area,thereby maintaining the largest MPR;(3)convergence rate variation has a much larger influence on magma production rate than dip angle variation.When the convergence rate varies from 2 to 10 cm/a,the largest time-averaged MPR is 64.0 times the smallest one,whereas when the slab dip varies from 30°to 60°,the largest time-averaged MPR is only 3.5 times the smallest one.These findings align with numerous instances observed in modern-day subduction zones.
基金Financial supports from the National Natural Science Foundation of China(Grant No.21503039)Department of Science and Technology of Liaoning Province(Grant No.2019MS164)+1 种基金Department of Education of Liaoning Province(Grant No.LJ2020JCL034)Discipline Innovation Team of Liaoning Technical University(Grant No.LNTU20TD-16)are greatly acknowledged。
摘要Designing novel van der Waals layered materials with low thermal conductivity and large power factor is important for the development of layered thermoelectric materials.Therefore,the novel van der Waals intercalated compound La2Bi4Cu2O6Se4,which is constructed by alternately stacking LaCuSeO and Bi2O2Se units along the c-axis in a 1:2 ratio,has designed for thermoelectric materials.The unique intercalated strategy leads to the four-band convergence at the valence band maximum,and the combination of multiple heavy band and light band,which significantly enhances the p-type doping power factor.The lattice thermal conductivities in La2Bi4Cu2O6Se4and LaCuSeO compounds are accurately calculated by considering the coherence contributions of the anharmonic phonon reformulations and the off-diagonal term of the heat flux operator.The weak bond property of the Cu d-Se p bonding causes phonon softening,reducing the lattice thermal conductivity.The intercalated Bi atom has stereochemically active lone-pair electrons,which causes acoustic-optical coupling and produces strong fourth acoustic-optical phonon scattering,suppressing low-frequency phonon transport.The carrier relaxation time is rationalized by considering multiple carrier scattering mechanisms.The p-type doping La2Bi4Cu2O6Se4achieves an average ZT of 2.3 at 700 K,and an optimal ZT of 2.7 along the in-plane direction.Our current work not only reveals the origin of the strong phonon scattering and large power factor of La2Bi4Cu2O6Se4compound,but also provides theoretical guidance for the design of La-based layered oxides for thermoelectric applications.
基金supported by the National Natural Science Foundation of China(Grant Nos.12372201 and 12072302).
摘要The 13-node quadrilateral and 39-node hexahedral cubic serendipity elements produce nodally integrated positive-definite lumped heat capacity matrices in higher-order finite element analysis.However,these elements display severe convergence deterioration in explicit transient heat conduction analysis with lumped heat ca-pacity matrices.This convergence decay is due to the violation of variational integration consistency by the standard Galerkin formulation with lumped heat capacity matrices.This issue is resolved by introducing the boundary-enhanced Galerkin weak form that incorporates the elemental boundary contribution in the discrete finite element formulation.Subsequently,it is theoretically proven that a direct nodal integration identically fulfills the variational integration consistency in the context of the boundary-enhanced Galerkin weak form.The proposed variationally consistent nodal integration therefore enables optimal convergence for explicit transient heat conduction analysis with lumped heat capacity matrices.The efficacy of the proposed variationally con-sistent nodal integration formulation for the 13-node quadrilateral and 39-node hexahedral cubic elements is thoroughly demonstrated via numerical examples.
基金supported by the National Natural Science Foundation of China (Grant No. 12372028)the National Key Research and Development Program of China (Grant No. 2020YFC2201101)the Guangdong Basic and Applied Basic Research Foundation (Grant No.2022A1515011809)。
摘要The harmonic balance method(HBM)has been widely applied to get the periodic solution of nonlinear systems,however,its convergence rate as well as computation efficiency is dramatically degraded when the system is highly non-smooth,e.g.,discontinuous.In order to accelerate the convergence,an enriched HBM is developed in this paper where the non-smooth Bernoulli bases are additionally introduced to enrich the conventional Fourier bases.The basic idea behind is that the convergence rate of the HB solution,as a truncated Fourier series,can be improved if the smoothness of the solution becomes finer.Along this line,using non-smooth Bernoulli bases can compensate the highly non-smooth part of the solution and then,the smoothness of the residual part for Fourier approximation is improved so as to achieve accelerated convergence.Numerical examples are conducted on systems with non-smooth restoring and/or external forces.The results confirm that the proposed enriched HBM indeed increases the convergence rate and the increase becomes more significant if more non-smooth bases are used.
基金Supported by the Academic Funding Projects for Top Talents in Universities of Anhui Province(gxbjZD2022067)Talent Planning Project of Tongling University(2022tlxyrc32)the Key Grant Project for Academic Leaders of Tongling University(2020tlxyxs31)。
摘要In this paper,the author obtains complete convergence for the maximum partial sums of m-widely orthant dependent(m-WOD)random variables sequences under some general conditions.The results extend the complete convergence for m-WOD random variables to a much more general type complete convergence.As the sequences of m-WOD random variables represent a very broad class of dependent sequences,the results improve and generalize the corresponding ones in the literature.
摘要This study looks at how the Belt and Road Initiative(BRI)has affected the economic convergence of the Central Asian Turkic Republics,China,Pakistan,and their major diplomatic partners in the Silk Road region.Using beta and sigma convergence models over a predetermined time frame,the research evaluates economic alignment trends statistically and looks into how trade openness,FDI,and human capital affect the convergence process.The research attempts to discover larger causes of convergence,such as institutional quality and geopolitical closeness,by combining econometric analysis with regional economic dynamics.The purpose of the results is to provide policy suggestions that will improve equitable and sustainable economic convergence inside the Silk Road circle,promoting international cooperation and growth.
基金Under the auspices of National Natural Science Foundation of China (No. 40971019)National Basic Research Program of China (No. 2007CB411501)
摘要Comprehending regional characteristics and influencing factors of China's inbound tourism economy is im- portant to make effective policies that will help inbound tourism develop harmoniously and shrink regional disparity. This paper studied the regional disparity and convergence of China's inbound tourism economy during 1996-2008 with the methods of a-convergence, club convergence and r-convergence. The results indicate that 1) inbound tourism receipts per capita (ITRPC) of the whole country, the eastern, central and western regions presented the rapid increasing trend; 2) ITRPC of the whole country was characterized by convergence; 3) the eastern region presented club con- vergence, but the central and western regions did not show this trend; 4) the star-hotel levels and investment in fixed assets for the tourism industry per capita had a same trend to growth rates of ITRPC, promoting inbound tourism de- velopment, and there was no difference among the 31 provinces (municipalities) in the mainland of China; 5) but the proportion of employed persons in the tourism industry accounting for total population and the proportion of the terti- ary industry accounting for GDP had a reversal trend to growth rates of ITRPC, shrinking the provincial disparity in inbound tourism economy, and there were differences between the developed provinces and the developing provinces. Based on these analyses, we put forward some suggestions for the developing provinces to speed up inbound tourism economy.