BACKGROUND Differential metabolites(DMs)are associated with metabolic dysfunction-associated fatty liver disease(MAFLD)malignant transformation.However,their underlying mechanisms remain to be identified.AIM To invest...BACKGROUND Differential metabolites(DMs)are associated with metabolic dysfunction-associated fatty liver disease(MAFLD)malignant transformation.However,their underlying mechanisms remain to be identified.AIM To investigate the dynamic alterations of DMs,carnitine palmitoyl transferase-II(CPT-II)and immune cells during MAFLD malignancy.METHODS A rat model was constructed with high fat diet plus 2-fluorenylacetamide to induce hepatocyte malignancy.Livers were divided into MAFLD,metabolic dysfunction-associated steatohepatitis,liver cirrhosis(LC)and hepatocellular carcinoma(HCC)groups based on hematoxylin and eosin staining,with normal rats as control.DMs were identified via RNA transcriptomics or metabolomics.Proteins were detected by western blotting,and immune cells were analyzed by single-cell sequencing.RESULTS Model livers with obvious lipid accumulation and cells were examined during MAFLD malignancy from inflammation or necrosis to LC or HCC and exhibited a pathological alteration of nuclear pleomorphism,disordered arrangement and a progressive decrease in CPT-II activity.The number of DMs was 131 in MAFLD,134 in metabolic dysfunction-associated steatohepatitis,27 in liver fibrosis/LC,and 130 in HCC,respectively.Cyclin B1 and cyclin-dependent kinase 1 were involved in the P53 pathway and cell cycle,and they held key positions in the protein interaction network,which involved metabolic regulation of cell response to stimuli.DMs,such as phosphatidylcholine or sphingomyelin in steroid biosynthesis,were significantly related to MAFLD malignancy.Mechanistically,liver immune cells undergo dynamic changes in a fat-rich microenvironment,with decreased T cell abundance and increased programmed death ligand 1 expression and M2-polarized macrophages.CONCLUSION Downregulated CPT-II aggravates the accumulation of metabolites associated with MAFLD malignancy via immune evasion and M2-polarized macrophages.展开更多
Calculus equations are fundamental mathematical tools,whose numerical solution is crucial.Existing solvers with optical analog computing struggle to simultaneously integrate programmability and parallel processing,thu...Calculus equations are fundamental mathematical tools,whose numerical solution is crucial.Existing solvers with optical analog computing struggle to simultaneously integrate programmability and parallel processing,thus constraining computational speed and density.Herein,we propose a reconfigurable all-optical platform capable of solving variable-coefficient first-order ordinary differential equations in parallel.We utilize the electrically tunable liquid crystals(LCs)as computing kernels to address these equations.The solver's applicability to canonical scientific problems,such as heat conduction and resistor-capacitor circuit dynamics,is further showcased with simultaneous solving of 158 equations with only one single forward propagation of light.Experimental results confirm the efficacy of the platform in solving equations in an ultra-fast,reconfigurable,broadband,and parallel manner.展开更多
By investigating the evolution of shale gas generation,storage,adjustment and accumulation under different structural settings in superimposed basins,this study elucidates the differential accumulation mechanisms of s...By investigating the evolution of shale gas generation,storage,adjustment and accumulation under different structural settings in superimposed basins,this study elucidates the differential accumulation mechanisms of shale gas.An improved evaluation method of shale gas content evolution in superimposed basins is proposed.This method incorporates the coupling effect of key geological factors such as temperature,pressure,organic matter abundance,maturity,and pore characteristics on the content and occurrence state of shale gas,as well as the configuration relationship between shale gas generation and storage throughout geological history.Using this approach,the gas evolution histories of the Longmaxi Formation shales in wells N201 and PY1 are reconstructed under varying geological conditions.The Longmaxi Formation shales in these wells are dominated by typeⅠkerogen,with original total organic carbon(TOCo)contents of 6.20 wt% and 4.92 wt%,respectively,indicating differences in the initial material basis for gas generation.At the maximum burial depth of approximately 5000 m,the Longmaxi Formation shale in well N201 exhibits a formation pressure coefficient of 2.05,an organic matter maturity of 2.2%,and organic pores accounting for 68%of the total porosity.The gas generation quantity(Qg)reaches 19.24 m3,while the gas storage capacity(Qs)is 4.30 m3.The actual total gas content(Qa),constrained by Qs,is 4.30 m3,with free gas comprising 94%.Following relatively moderate tectonic uplift,the Qa in well N201 decreases to 4.03 m3,with free gas accounting for 63%.In contrast,the Longmaxi Formation shale in well PY1 reached a maximum burial depth of 6300 m,associated with a formation pressure coefficient of 1.62,organic matter maturity of 2.5%,and organic pore proportion of 67%.Here,Qg is 16.87 m3,and both Qs and Qa are 3.65 m3,with free gas accounting for 98%.After intense tectonic uplift,Qa declines to 2.72 m3,and the proportion of free gas drops to51%.Finally,a four-stage differential accumulation model of shale gas is established:Slow gas generation and only adsorbed gas occur in stageⅠ,which is primarily controlled by TOC content;both adsorbed gas and free gas present in stageⅡ,with free gas becoming dominant;rapid gas generation and free gas predominance are controlled by temperature and porosity in stageⅢ;and gas adjustment and accumulation are primarily controlled by temperature and pressure in stageⅣ.展开更多
The advancement of differential imaging and adaptive machine vision demands hardware capable of dynamic signal modulation,yet traditional photodetectors are limited by static doping profiles and fixed junction polarit...The advancement of differential imaging and adaptive machine vision demands hardware capable of dynamic signal modulation,yet traditional photodetectors are limited by static doping profiles and fixed junction polarities.To overcome this bottleneck,we present a reconfigurable black phosphorus(BP)p-n homojunction photodetector engineered via in situ ferroelectric domain programming.By leveraging the non-volatile ferroelectric field of a bismuth ferrite substrate,we achieve precise,nondestructive modulation of the BP band structure,allowing for reversible switching between p-n and n-p configurations within a single device channel.This ferroelectric doping strategy effectively eliminates interface damage associated with ion implantation while enabling programmable rectification behaviors.The device demonstrates self-powered operation with a responsivity of 44 mA W−1 at 808 nm under zero-bias conditions.Crucially,we demonstrate a single-pixel imaging prototype where the reconfigurable junction polarity enables tunable edge sharpness and high-fidelity image reconstruction.This work establishes a paradigm for ferroelectrically programmable 2D devices,providing a versatile platform for differential imaging and contrast-enhancement optoelectronic applications.展开更多
Efficient optimization of well operations andadjustment strategies in large-scale waterflooding reservoirs is a high-dimensional and complex challenge due to strong decision coupling and reservoir heterogeneity.This s...Efficient optimization of well operations andadjustment strategies in large-scale waterflooding reservoirs is a high-dimensional and complex challenge due to strong decision coupling and reservoir heterogeneity.This study proposes a collaborative optimization framework that integrates multiple adjustment strategies,includinginfillwell drilling,shut-in of low-efficiency wells,and injectionproduction well conversion.A penalty mechanism is introduced tobalance cumulative oil production maximization with minimum production constraints for infill wells.The core contribution is the development of a multi-strategy enhancedadaptive differential evolution algorithm(E-ADE),which incorporates the follower update mechanism of the SparrowSearch Algorithm(SSA)and the logarithmic spiral search strategy of the Whale Optimization Algorithm(WOA)into the differential evolution(DE)framework.By dynamically adjusting differential evolution vectors and adaptively regulating population size across optimization stages,E-ADE effectively balances global exploration and local exploitation,leading to significantlyimproved convergence speed and optimization accuracy.Benchmark tests on nine multimodalfunctions demonstrate that E-ADEconsistently outperforms classical algorithms,includingDE,GA,PSO,WOA,and SSA.The method is further applied to the PUNQ-S3 reservoir model and the S4 block of the W12-2 oilfield under high water-cut conditions.The results indicate that E-ADE enables adaptive optimization of infillwell placement,shut-in schemes,and welltype conversions,achieving coordinated improvements in both field-scale production andsingle-well performance,and substantially enhancing the efficiency of waterflooding development.展开更多
This paper proposes a two-phase game guidance strategy for the three-body confrontation scenario according to the linear quadratic differential game method,which includes an Attacker,an Interceptor,and a Target.The in...This paper proposes a two-phase game guidance strategy for the three-body confrontation scenario according to the linear quadratic differential game method,which includes an Attacker,an Interceptor,and a Target.The interception probabilities between the Attacker and the Interceptor-Target team are estimated using the probability density function.The desired zero-effort miss distances associated with the interception probabilities for the three-body conflict are acquired by virtue of the gradient descent method.The game combat is divided into two phases by introducing the switching time.In Phase 1,a differential game strategy is developed to guide the zero-control miss distance between the Attacker and the Interceptor-Target into the desired position,which guarantees that the Attacker has the maximizing probability of intercepting the Target and the minimizing probability of being captured by the Interceptor.In Phase 2,a differential game guidance strategy is proposed to ensure that the Attacker evades the pursuit of the Interceptor and intercepts the Target at the preset impact angle.Finally,numerical simulation verifies the effectiveness of the two-stage game guidance strategy.展开更多
We demonstrate room-temperature negative differential resistance(NDR)and unsaturated magnetoresistance(MR)effects in germanium-based devices.Our findings indicate that the observed NDR primarily originates from the ca...We demonstrate room-temperature negative differential resistance(NDR)and unsaturated magnetoresistance(MR)effects in germanium-based devices.Our findings indicate that the observed NDR primarily originates from the carrier injection effect induced by local impact ionization in germanium.As the magnetic field increases,the MR values exhibit an unsaturated behavior,increasing quadratically at low fields and transitioning to a linear increase at higher fields,reaching approximately 91%at 1 T.We attribute this large unsaturated MR to carrier inhomogeneity.The equivalent Hall electric field strength was used to characterize the degree of carrier inhomogeneity under magnetic fields:a larger equivalent Hall electric field strength indicates stronger carrier inhomogeneity and consequently a larger corresponding MR.The coexistence of excellent room-temperature NDR and large unsaturated MR in germanium-based devices(achieved by constructing electrodes at two edge positions on the semiconductor surface)enables the development of multifunctional devices.展开更多
The rise of the low-altitude economy highlights the importance of compound-wing UAVs.However,achieving seamless and optimal trajectories across different flight modes remains a significant challenge due to inherent hi...The rise of the low-altitude economy highlights the importance of compound-wing UAVs.However,achieving seamless and optimal trajectories across different flight modes remains a significant challenge due to inherent high-order discontinuities during mode transitions.To address this limitation,the Spatial-Temporal Adaptive Dual-modal Trajectory Planning(STA-DTP)method for compound-wing UAVs is proposed.By leveraging the differential flatness characteristics of the compound-wing UAV's dual-modal dynamics,a Dynamic collocation-point-based Minimum Control Effort Polynomial(DMINCO)trajectory parameterization model is developed.Its polynomial design ensures high-order continuity and allows for decoupled spatial-temporal representation of dual-modal trajectories,significantly reducing optimization complexity.An adaptive collocation-point decision mechanism for dual-modal transition is designed to address the dependence of trajectory optimality on transition timing.Integrated with an Anytime framework,this mechanism facilitates the real-time generation of feasible dual-modal flight trajectories.Transition collocation points are adaptively assigned based on conflicts between trajectory states and dynamic constraints.Under available computational resources,trajectory optimality is progressively enhanced through the densification collocation-point strategy.Compared with typical trajectory planning algorithms(i.e.,STA-DTP,SFC-SCP,and GPOPS-II)using fixed transition-point strategies,simulation results demonstrate that the proposed method achieves improvements of 1–2 orders of magnitude in planning efficiency and reduces trajectory flight durations as well.Consequently,this work provides an efficient and optimal framework for trajectory planning of compound-wing UAVs in urban environments.展开更多
Dear Editor,This letter addresses the critical challenge of preserving privacy in graph learning without compromising on data utility.Differential privacy(DP)is emerging as an effective method for privacy-preserving g...Dear Editor,This letter addresses the critical challenge of preserving privacy in graph learning without compromising on data utility.Differential privacy(DP)is emerging as an effective method for privacy-preserving graph learning.However,its application often diminishes data utility,especially for nodes with fewer neighbors in graph neural networks(GNNs).展开更多
Welding deformation adversely affects the quality and precision of structural components,and traditional methods require significant material resources and time.Machine learning has demonstrated exceptional ac-curacy ...Welding deformation adversely affects the quality and precision of structural components,and traditional methods require significant material resources and time.Machine learning has demonstrated exceptional ac-curacy and efficiency in solving complex problems.Thus,the use of machine learning to predict welding de-formations is a novel approach.In this study,laser welding experiments were conducted on a TC4 titanium alloy to establish a welding deformation dataset.The deep neural network(DNN)and convolutional neural network(CNN)models were designed and constructed,with average prediction errors of 0.85 mm and 0.94 mm on the validation set,respectively.To further optimize the network parameters,a differential evolution algorithm was employed through mutation,crossover,and selection.The results indicated that after optimization,the pre-diction errors of the DNN and CNN models reduced to 0.75 mm and 0.85 mm,respectively.These represent accuracy improvements of 14.8%and 9.6%,respectively.The optimized models exhibited superior predictive performances for the validation set.展开更多
Accurately characterizing the evolution characteristic of hardening behavior is helpful for the design of metal forming processes.To depict the direction-and stress state-related evolving characteristic,the study prop...Accurately characterizing the evolution characteristic of hardening behavior is helpful for the design of metal forming processes.To depict the direction-and stress state-related evolving characteristic,the study proposes an anisotropicstrength differential(SD)hardening model with the form of the first stress invariant,third deviatoric stress invariant,and nonquadratic Hershy-Hosford function.The material parameters can be analytically determined by four hardening curves under the typical stress states.Through adopting a geometry-inspired numerical convex analysis approach,the limits of the convexityrelated parameters are efficiently computed to present the determined convexity domain.The established SD hardening model is employed to explain the deformation history-related hardening behavior of WE43 alloy under various stress states.These predicted results have a high consistency with the actual yield stresses.The proposed yield function shows a higher superiority than the existing model in the aspect of characterizing the low strength under plane strain tension(PST).The SD hardening model is extended to the anisotropic form under non-associated flow rule,where the Hill48 yield function is utilized as the plastic potential function.The predicted results indicate that the established model can accurately capture the anisotropic and SD effects of WE43 alloy.This implies the tremendous potential to model the anisotropic-SD hardening performance with low strength under PST for other materials.展开更多
Precise differential travel-time measurement is essential for earthquake relative locating.The waveform cross correlation(WCC)technique is widely regarded as the most effective method for calculating the differential ...Precise differential travel-time measurement is essential for earthquake relative locating.The waveform cross correlation(WCC)technique is widely regarded as the most effective method for calculating the differential travel-time of seismic phases.However,for earthquake pairs with large magnitude differences,substantial biases can arise due to disparities in the duration of the initial pulse,potentially leading to significant mislocations,particularly for mainshocks.To overcome this limitation,we propose to use the dynamic time warping(DTW)algorithm to optimize differential travel-time calculation.Using high-quality earthquake waveform data from the San Andreas Fault(2012−2019),we systematically compared the performance of DTW and WCC,respectively.Our results demonstrate that DTW substantially improves differential travel-time measurements,especially in cases involving large magnitude differences.In addition,we tested the robustness of DTW using noisy seismic data,demonstrating its superior resilience to noise.展开更多
For realistic speech generation,variation in glottal waveform models has long been proposed.Due to simplicity and efficiency,the parametric models of the glottal flow are very popular in the field of speech generation...For realistic speech generation,variation in glottal waveform models has long been proposed.Due to simplicity and efficiency,the parametric models of the glottal flow are very popular in the field of speech generation.The proposed work presents a new approach to modeling the glottal flow.The current model is comprised of two piecewise differential equations that generate a glottal pulse.The first and second differential equations generate the opening and closing phases of the vocal folds,respectively while the closed phase is taken as zero.There are four parameters involved in the proposed model to bring variation in the shape of the glottal pulse.The current model is very flexible in designing a glottal pulse and is comparable with the famous Liljencrants-Fant model,Rosenberg model,and KLGLOTT88 model.This comparison supports its successful implementation as a voice source in speech synthesis which also leads to the validity of our differential equation-based glottal model.展开更多
this paper,we introduce and study a new class of evolutionary differential hemivariational inequalities in Banach spaces.Using a fixed-point theorem,we first establish the existence and uniqueness of mild solutions fo...this paper,we introduce and study a new class of evolutionary differential hemivariational inequalities in Banach spaces.Using a fixed-point theorem,we first establish the existence and uniqueness of mild solutions for the evolutionary differential hemivariational inequality.Building on this result,we then investigate the stability of the evolutionary differential hemivariational inequality problem under perturbations of the mappings,constraint set,and infinitesimal generator of the Co-semigroup etB.展开更多
High-temperature dynamic seals are the structures used to seal movable clearances in high-temperature environments.The essential components of these seals are the fiber-braided seal strips.When it is working,the strip...High-temperature dynamic seals are the structures used to seal movable clearances in high-temperature environments.The essential components of these seals are the fiber-braided seal strips.When it is working,the strip is subjected to a transverse preload,decreasing its porosity and restricting gas flow to achieve sealing.To implement seal design,efficient numerical analysis is essential,which is supposed to involve the deformation,heat transfer,seepage,and the interactions among these physical processes.In this paper,a nonlinear thermal-mechanics-seepage coupled contact model is used to describe the seal strips with circular sections.An element differential scheme is proposed to solve the coupled governing equations,and an iterative procedure based on the element differential method(EDM)tracks the contact interfaces,which further determines the range of boundary conditions of other physical fields.The proposed method simplifies the computation by avoiding integral evaluations and reducing matrix density.Two examples are implemented to verify the correctness of the proposed scheme and to predict the variations in physical variables of the seal structures.Furthermore,a comparison between the EDM and finite element method results indicates that the EDM is more efficient because of fewer contact iterations and a sparser coefficient matrix.展开更多
With the popularization of smart devices,Location-Based Services(LBS)greatly facilitates users’life,but at the same time brings the risk of users’location privacy leakage.Existing location privacy protection methods...With the popularization of smart devices,Location-Based Services(LBS)greatly facilitates users’life,but at the same time brings the risk of users’location privacy leakage.Existing location privacy protection methods are deficient,failing to reasonably allocate the privacy budget for non-outlier location points and ignoring the critical location information that may be contained in the outlier points,leading to decreased data availability and privacy exposure problems.To address these problems,this paper proposes a Mix Location Privacy Preservation Method Based on Differential Privacy with Clustering(MLDP).The method first utilizes the DBSCAN clustering algorithm to classify location points into non-outliers and outliers.For non-outliers,the scoring function is designed by combining geographic information and semantic information,and the privacy budget is allocated according to the heat intensity of the hotspot area;for outliers,the scoring function is constructed to allocate the privacy budget based on their correlation with the hotspot area.By comprehensively considering the geographic information,semantic information,and correlation with hotspot areas of the location points,a reasonable privacy budget is assigned to each location point,andfinallynoise is added throughthe Laplacemechanismto realizeprivacyprotection.Experimental results on tworeal trajectory datasets,Geolife and T-Drive,show that the MLDP approach significantly improves data availability while effectively protecting location privacy.Compared with the comparison methods,the maximum available data ratio of MLDP is 1.Moreover,compared with the RandomNoise method,its execution time is 0.056–0.061 s longer,and the logRE is 0.12951–0.62194 lower;compared with KemeansDP,QTK-DP,DPK-F,IDP-SC,and DPK-Means-up methods,it saves 0.114–0.296 s in execution time,and the logRE is 0.01112–0.38283 lower.展开更多
Real-time,phase-resolved detection of pulse dynamics remains a challenge for understanding fast pulse interactions in ultrafast lasers.It is also of critical importance in developing high-performance lasers,such as du...Real-time,phase-resolved detection of pulse dynamics remains a challenge for understanding fast pulse interactions in ultrafast lasers.It is also of critical importance in developing high-performance lasers,such as dual-comb lasers where more complex pulse interactions could exist.Here,a real-time delayed interferometry technique is introduced to enable single-shot measurement of the differential spectral phase between consecutive pulses in a properly designed dual-comb fiber laser.It enables the quantification of the attosecond period jitter of the unperturbed pulses as well as the complete intensity-phase spectro-temporal dynamics of soliton collisions.Besides the wavelength shifts and the associated pulse period changes previously reported,spectral phase evolution and ultrafast pulse-collision induced timing transients unreported before are successfully captured.Numerical simulations further validate the differential spectral phase measurement results during the collision.This work provides further insight into the understanding of pulse interactions in dual-comb lasers and could facilitate the design of these lasers that could better mimic the ideal frequency combs for precision metrology.展开更多
The rapid advancement of the Internet of Things(IoT)has transformed edge devices from simple data collectors into intelligent units capable of local processing and collaborative learning.However,the vast amounts of se...The rapid advancement of the Internet of Things(IoT)has transformed edge devices from simple data collectors into intelligent units capable of local processing and collaborative learning.However,the vast amounts of sensitive data generated by these devices face severe constraints from“data silos”and risks of privacy breaches.Federated learning(FL),as a distributed collaborative paradigm that avoids sharing raw data,holds great promise in the IoT domain.Nevertheless,it remains vulnerable to gradient leakage threats.While traditional differential privacy(DP)techniques mitigate privacy risks,they often come at the cost of significantly reduced model performance—a limitation particularly pronounced in resource-constrained IoT environments characterised by non-independent and identically distributed(non-IID)data distribution.To bridge the gap between privacy preservation and high performance on heterogeneous data,this paper proposes a novel personalized federated learning(PFL)method,FedGLP-ADP.This method leverages historical gradient information to provide a more detailed partitioning of parameters,aiming to prevent personalized knowledge from being affected by noise as much as possible,thereby reducing model degradation.Building on this,we propose an adaptive DP mechanism that optimizes both the clipping and noising steps to minimize the impact of noise on global knowledge.Experimental results show that FedGLP-ADP exhibits superior performance compared to other representative methods under different privacy levels and non-IID degrees.展开更多
Addressing the limitations of inadequate stochastic disturbance characterization during wind turbine degradation processes that result in constrained modeling accuracy,replacement-based maintenance practices that devi...Addressing the limitations of inadequate stochastic disturbance characterization during wind turbine degradation processes that result in constrained modeling accuracy,replacement-based maintenance practices that deviate from actual operational conditions,and static maintenance strategies that fail to adapt to accelerated deterioration trends leading to suboptimal remaining useful life utilization,this study proposes a Time-Based Incomplete Maintenance(TBIM)strategy incorporating reliability constraints through stochastic differential equations(SDE).By quantifying stochastic interference via Brownian motion terms and characterizing nonlinear degradation features through state influence rate functions,a high-precision SDE degradation model is constructed,achieving 16%residual reduction compared to conventional ordinary differential equation(ODE)methods.The introduction of age reduction factors and failure rate growth factors establishes an incomplete maintenance mechanism that transcends traditional“as-good-as-new”assumptions,with the TBIM model demonstrating an additional 8.5%residual reduction relative to baseline SDE approaches.A dynamic maintenance interval optimization model driven by dual parameters—preventive maintenance threshold Rp and replacement threshold Rr—is designed to achieve synergistic optimization of equipment reliability and maintenance economics.Experimental validation demonstrates that the optimized TBIM extends equipment lifespan by 4.4%and reducesmaintenance costs by 4.16%at Rp=0.80,while achieving 17.2%lifespan enhancement and 14.6%cost reduction at Rp=0.90.This methodology provides a solution for wind turbine preventive maintenance that integrates condition sensitivity with strategic foresight.展开更多
In reliability analyses,the absence of a priori information on the most probable point of failure(MPP)may result in overlooking critical points,thereby leading to biased assessment outcomes.Moreover,second-order relia...In reliability analyses,the absence of a priori information on the most probable point of failure(MPP)may result in overlooking critical points,thereby leading to biased assessment outcomes.Moreover,second-order reliability methods exhibit limited accuracy in highly nonlinear scenarios.To overcome these challenges,a novel reliability analysis strategy based on a multimodal differential evolution algorithm and a hypersphere integration method is proposed.Initially,the penalty function method is employed to reformulate the MPP search problem as a conditionally constrained optimization task.Subsequently,a differential evolution algorithm incorporating a population delineation strategy is utilized to identify all MPPs.Finally,a paraboloid equation is constructed based on the curvature of the limit-state function at the MPPs,and the failure probability of the structure is calculated by using the hypersphere integration method.The localization effectiveness of the MPPs is compared through multiple numerical cases and two engineering examples,with accuracy comparisons of failure probabilities against the first-order reliability method(FORM)and the secondorder reliability method(SORM).The results indicate that the method effectively identifies existing MPPs and achieves higher solution precision.展开更多
基金Supported by National Natural Science Foundation of China,No.32470985 and No.81673241Nantong Science and Technology Project,No.MS2024051+1 种基金Nantong Federation for the Prevention and Control of Infectious Diseases,No.NTCRB2025016Nantong Health Commission of China,No.QN2025064。
摘要BACKGROUND Differential metabolites(DMs)are associated with metabolic dysfunction-associated fatty liver disease(MAFLD)malignant transformation.However,their underlying mechanisms remain to be identified.AIM To investigate the dynamic alterations of DMs,carnitine palmitoyl transferase-II(CPT-II)and immune cells during MAFLD malignancy.METHODS A rat model was constructed with high fat diet plus 2-fluorenylacetamide to induce hepatocyte malignancy.Livers were divided into MAFLD,metabolic dysfunction-associated steatohepatitis,liver cirrhosis(LC)and hepatocellular carcinoma(HCC)groups based on hematoxylin and eosin staining,with normal rats as control.DMs were identified via RNA transcriptomics or metabolomics.Proteins were detected by western blotting,and immune cells were analyzed by single-cell sequencing.RESULTS Model livers with obvious lipid accumulation and cells were examined during MAFLD malignancy from inflammation or necrosis to LC or HCC and exhibited a pathological alteration of nuclear pleomorphism,disordered arrangement and a progressive decrease in CPT-II activity.The number of DMs was 131 in MAFLD,134 in metabolic dysfunction-associated steatohepatitis,27 in liver fibrosis/LC,and 130 in HCC,respectively.Cyclin B1 and cyclin-dependent kinase 1 were involved in the P53 pathway and cell cycle,and they held key positions in the protein interaction network,which involved metabolic regulation of cell response to stimuli.DMs,such as phosphatidylcholine or sphingomyelin in steroid biosynthesis,were significantly related to MAFLD malignancy.Mechanistically,liver immune cells undergo dynamic changes in a fat-rich microenvironment,with decreased T cell abundance and increased programmed death ligand 1 expression and M2-polarized macrophages.CONCLUSION Downregulated CPT-II aggravates the accumulation of metabolites associated with MAFLD malignancy via immune evasion and M2-polarized macrophages.
基金support from the National Key Research and Development Program of China under grant 2023YFB2804701the National Natural Science Foundation of China under grant 12374278+2 种基金support from the National Natural Science Foundation of China under grant 12174292support from the National Natural Science Foundation of China under grants 62222507 and 62175101the assistance from Center for Nanoscience and Nanotechnology at Wuhan University。
摘要Calculus equations are fundamental mathematical tools,whose numerical solution is crucial.Existing solvers with optical analog computing struggle to simultaneously integrate programmability and parallel processing,thus constraining computational speed and density.Herein,we propose a reconfigurable all-optical platform capable of solving variable-coefficient first-order ordinary differential equations in parallel.We utilize the electrically tunable liquid crystals(LCs)as computing kernels to address these equations.The solver's applicability to canonical scientific problems,such as heat conduction and resistor-capacitor circuit dynamics,is further showcased with simultaneous solving of 158 equations with only one single forward propagation of light.Experimental results confirm the efficacy of the platform in solving equations in an ultra-fast,reconfigurable,broadband,and parallel manner.
基金funded by the Sinopec Science and Technology Project(No.P23132)the AAPG Foundation Grants-inAid Program(No.18644937)。
摘要By investigating the evolution of shale gas generation,storage,adjustment and accumulation under different structural settings in superimposed basins,this study elucidates the differential accumulation mechanisms of shale gas.An improved evaluation method of shale gas content evolution in superimposed basins is proposed.This method incorporates the coupling effect of key geological factors such as temperature,pressure,organic matter abundance,maturity,and pore characteristics on the content and occurrence state of shale gas,as well as the configuration relationship between shale gas generation and storage throughout geological history.Using this approach,the gas evolution histories of the Longmaxi Formation shales in wells N201 and PY1 are reconstructed under varying geological conditions.The Longmaxi Formation shales in these wells are dominated by typeⅠkerogen,with original total organic carbon(TOCo)contents of 6.20 wt% and 4.92 wt%,respectively,indicating differences in the initial material basis for gas generation.At the maximum burial depth of approximately 5000 m,the Longmaxi Formation shale in well N201 exhibits a formation pressure coefficient of 2.05,an organic matter maturity of 2.2%,and organic pores accounting for 68%of the total porosity.The gas generation quantity(Qg)reaches 19.24 m3,while the gas storage capacity(Qs)is 4.30 m3.The actual total gas content(Qa),constrained by Qs,is 4.30 m3,with free gas comprising 94%.Following relatively moderate tectonic uplift,the Qa in well N201 decreases to 4.03 m3,with free gas accounting for 63%.In contrast,the Longmaxi Formation shale in well PY1 reached a maximum burial depth of 6300 m,associated with a formation pressure coefficient of 1.62,organic matter maturity of 2.5%,and organic pore proportion of 67%.Here,Qg is 16.87 m3,and both Qs and Qa are 3.65 m3,with free gas accounting for 98%.After intense tectonic uplift,Qa declines to 2.72 m3,and the proportion of free gas drops to51%.Finally,a four-stage differential accumulation model of shale gas is established:Slow gas generation and only adsorbed gas occur in stageⅠ,which is primarily controlled by TOC content;both adsorbed gas and free gas present in stageⅡ,with free gas becoming dominant;rapid gas generation and free gas predominance are controlled by temperature and porosity in stageⅢ;and gas adjustment and accumulation are primarily controlled by temperature and pressure in stageⅣ.
基金support from the National Key Research and Development Program of China(2022YFC2204101)the National Natural Science Foundation of China(5257022607,52272163)+2 种基金the Fundamental Research Funds for the Central Universities(lzujbky-2025-ytC02)the Key Research and Development Program of Gansu province(24YFGA005)the Natural Science Basic Research Plan for Distinguished Young Scholars in Shanxi Province of China(2024JC-JCQN-13)。
摘要The advancement of differential imaging and adaptive machine vision demands hardware capable of dynamic signal modulation,yet traditional photodetectors are limited by static doping profiles and fixed junction polarities.To overcome this bottleneck,we present a reconfigurable black phosphorus(BP)p-n homojunction photodetector engineered via in situ ferroelectric domain programming.By leveraging the non-volatile ferroelectric field of a bismuth ferrite substrate,we achieve precise,nondestructive modulation of the BP band structure,allowing for reversible switching between p-n and n-p configurations within a single device channel.This ferroelectric doping strategy effectively eliminates interface damage associated with ion implantation while enabling programmable rectification behaviors.The device demonstrates self-powered operation with a responsivity of 44 mA W−1 at 808 nm under zero-bias conditions.Crucially,we demonstrate a single-pixel imaging prototype where the reconfigurable junction polarity enables tunable edge sharpness and high-fidelity image reconstruction.This work establishes a paradigm for ferroelectrically programmable 2D devices,providing a versatile platform for differential imaging and contrast-enhancement optoelectronic applications.
基金supported by the Oil&Gas Major Project of China(2025ZD1402901).
摘要Efficient optimization of well operations andadjustment strategies in large-scale waterflooding reservoirs is a high-dimensional and complex challenge due to strong decision coupling and reservoir heterogeneity.This study proposes a collaborative optimization framework that integrates multiple adjustment strategies,includinginfillwell drilling,shut-in of low-efficiency wells,and injectionproduction well conversion.A penalty mechanism is introduced tobalance cumulative oil production maximization with minimum production constraints for infill wells.The core contribution is the development of a multi-strategy enhancedadaptive differential evolution algorithm(E-ADE),which incorporates the follower update mechanism of the SparrowSearch Algorithm(SSA)and the logarithmic spiral search strategy of the Whale Optimization Algorithm(WOA)into the differential evolution(DE)framework.By dynamically adjusting differential evolution vectors and adaptively regulating population size across optimization stages,E-ADE effectively balances global exploration and local exploitation,leading to significantlyimproved convergence speed and optimization accuracy.Benchmark tests on nine multimodalfunctions demonstrate that E-ADEconsistently outperforms classical algorithms,includingDE,GA,PSO,WOA,and SSA.The method is further applied to the PUNQ-S3 reservoir model and the S4 block of the W12-2 oilfield under high water-cut conditions.The results indicate that E-ADE enables adaptive optimization of infillwell placement,shut-in schemes,and welltype conversions,achieving coordinated improvements in both field-scale production andsingle-well performance,and substantially enhancing the efficiency of waterflooding development.
基金co-supported by the National Natural Science Foundation of China(No.62273119)。
摘要This paper proposes a two-phase game guidance strategy for the three-body confrontation scenario according to the linear quadratic differential game method,which includes an Attacker,an Interceptor,and a Target.The interception probabilities between the Attacker and the Interceptor-Target team are estimated using the probability density function.The desired zero-effort miss distances associated with the interception probabilities for the three-body conflict are acquired by virtue of the gradient descent method.The game combat is divided into two phases by introducing the switching time.In Phase 1,a differential game strategy is developed to guide the zero-control miss distance between the Attacker and the Interceptor-Target into the desired position,which guarantees that the Attacker has the maximizing probability of intercepting the Target and the minimizing probability of being captured by the Interceptor.In Phase 2,a differential game guidance strategy is proposed to ensure that the Attacker evades the pursuit of the Interceptor and intercepts the Target at the preset impact angle.Finally,numerical simulation verifies the effectiveness of the two-stage game guidance strategy.
基金supported in part by the Youth Program of Natural Science Foundation of Hubei Province(Grant No.2024AFB333)Natural Science Foundation of Yichang(Grant No.A24-3-021)+1 种基金the Special Funding for Talents of China Three Gorges University(Grant No.8230202)the National Natural Science Foundation of China(Grant No.12274258)。
摘要We demonstrate room-temperature negative differential resistance(NDR)and unsaturated magnetoresistance(MR)effects in germanium-based devices.Our findings indicate that the observed NDR primarily originates from the carrier injection effect induced by local impact ionization in germanium.As the magnetic field increases,the MR values exhibit an unsaturated behavior,increasing quadratically at low fields and transitioning to a linear increase at higher fields,reaching approximately 91%at 1 T.We attribute this large unsaturated MR to carrier inhomogeneity.The equivalent Hall electric field strength was used to characterize the degree of carrier inhomogeneity under magnetic fields:a larger equivalent Hall electric field strength indicates stronger carrier inhomogeneity and consequently a larger corresponding MR.The coexistence of excellent room-temperature NDR and large unsaturated MR in germanium-based devices(achieved by constructing electrodes at two edge positions on the semiconductor surface)enables the development of multifunctional devices.
基金supported by the National Science Fund for Distinguished Young Scholars(Grant No.52425211)National Natural Science Foundation of China(Grant Nos.52372347,52272360)。
摘要The rise of the low-altitude economy highlights the importance of compound-wing UAVs.However,achieving seamless and optimal trajectories across different flight modes remains a significant challenge due to inherent high-order discontinuities during mode transitions.To address this limitation,the Spatial-Temporal Adaptive Dual-modal Trajectory Planning(STA-DTP)method for compound-wing UAVs is proposed.By leveraging the differential flatness characteristics of the compound-wing UAV's dual-modal dynamics,a Dynamic collocation-point-based Minimum Control Effort Polynomial(DMINCO)trajectory parameterization model is developed.Its polynomial design ensures high-order continuity and allows for decoupled spatial-temporal representation of dual-modal trajectories,significantly reducing optimization complexity.An adaptive collocation-point decision mechanism for dual-modal transition is designed to address the dependence of trajectory optimality on transition timing.Integrated with an Anytime framework,this mechanism facilitates the real-time generation of feasible dual-modal flight trajectories.Transition collocation points are adaptively assigned based on conflicts between trajectory states and dynamic constraints.Under available computational resources,trajectory optimality is progressively enhanced through the densification collocation-point strategy.Compared with typical trajectory planning algorithms(i.e.,STA-DTP,SFC-SCP,and GPOPS-II)using fixed transition-point strategies,simulation results demonstrate that the proposed method achieves improvements of 1–2 orders of magnitude in planning efficiency and reduces trajectory flight durations as well.Consequently,this work provides an efficient and optimal framework for trajectory planning of compound-wing UAVs in urban environments.
基金supported by the National Key Research and Development Program of China(2023YFF0612900,2023YFF0612902)the Natural Science Foundation of Beijing,China(4254086)+3 种基金the National Natural Science Foundation of China(62472032)the Open Project Funding of Key Laboratory of Mobile Application Innovation and Governance Technology,Ministry of Industry and Information Technology(2023IFS080601-K)the Beijing Institute of Technology Research Fund Program for Young Scholarsthe Young Elite Scientists Sponsorship Program by CAST(2023QNRC001)。
摘要Dear Editor,This letter addresses the critical challenge of preserving privacy in graph learning without compromising on data utility.Differential privacy(DP)is emerging as an effective method for privacy-preserving graph learning.However,its application often diminishes data utility,especially for nodes with fewer neighbors in graph neural networks(GNNs).
基金Supported by Defense Industrial Technology Development Program of China(Grant No.JCKY2021605B015).
摘要Welding deformation adversely affects the quality and precision of structural components,and traditional methods require significant material resources and time.Machine learning has demonstrated exceptional ac-curacy and efficiency in solving complex problems.Thus,the use of machine learning to predict welding de-formations is a novel approach.In this study,laser welding experiments were conducted on a TC4 titanium alloy to establish a welding deformation dataset.The deep neural network(DNN)and convolutional neural network(CNN)models were designed and constructed,with average prediction errors of 0.85 mm and 0.94 mm on the validation set,respectively.To further optimize the network parameters,a differential evolution algorithm was employed through mutation,crossover,and selection.The results indicated that after optimization,the pre-diction errors of the DNN and CNN models reduced to 0.75 mm and 0.85 mm,respectively.These represent accuracy improvements of 14.8%and 9.6%,respectively.The optimized models exhibited superior predictive performances for the validation set.
基金supported by the National Natural Science Foundation of China(Grant Nos.52075423.52575440,and U2141214)the National Science and Technology Major Project(Grant No.Y2022-IV-0002-0019)+1 种基金Taiyuan University of Science and Technology Scientific Research Initial Funding(Grant No.20242119)Doctoral Starting Foundation of Shanxi Province(Grant No.20252015).
摘要Accurately characterizing the evolution characteristic of hardening behavior is helpful for the design of metal forming processes.To depict the direction-and stress state-related evolving characteristic,the study proposes an anisotropicstrength differential(SD)hardening model with the form of the first stress invariant,third deviatoric stress invariant,and nonquadratic Hershy-Hosford function.The material parameters can be analytically determined by four hardening curves under the typical stress states.Through adopting a geometry-inspired numerical convex analysis approach,the limits of the convexityrelated parameters are efficiently computed to present the determined convexity domain.The established SD hardening model is employed to explain the deformation history-related hardening behavior of WE43 alloy under various stress states.These predicted results have a high consistency with the actual yield stresses.The proposed yield function shows a higher superiority than the existing model in the aspect of characterizing the low strength under plane strain tension(PST).The SD hardening model is extended to the anisotropic form under non-associated flow rule,where the Hill48 yield function is utilized as the plastic potential function.The predicted results indicate that the established model can accurately capture the anisotropic and SD effects of WE43 alloy.This implies the tremendous potential to model the anisotropic-SD hardening performance with low strength under PST for other materials.
基金Projects(42204067,42574117,42130810)supported by the National Natural Science Foundation of ChinaProject(2024JJ6495)supported by the Natural Science Foundation of Hunan Province,China。
摘要Precise differential travel-time measurement is essential for earthquake relative locating.The waveform cross correlation(WCC)technique is widely regarded as the most effective method for calculating the differential travel-time of seismic phases.However,for earthquake pairs with large magnitude differences,substantial biases can arise due to disparities in the duration of the initial pulse,potentially leading to significant mislocations,particularly for mainshocks.To overcome this limitation,we propose to use the dynamic time warping(DTW)algorithm to optimize differential travel-time calculation.Using high-quality earthquake waveform data from the San Andreas Fault(2012−2019),we systematically compared the performance of DTW and WCC,respectively.Our results demonstrate that DTW substantially improves differential travel-time measurements,especially in cases involving large magnitude differences.In addition,we tested the robustness of DTW using noisy seismic data,demonstrating its superior resilience to noise.
摘要For realistic speech generation,variation in glottal waveform models has long been proposed.Due to simplicity and efficiency,the parametric models of the glottal flow are very popular in the field of speech generation.The proposed work presents a new approach to modeling the glottal flow.The current model is comprised of two piecewise differential equations that generate a glottal pulse.The first and second differential equations generate the opening and closing phases of the vocal folds,respectively while the closed phase is taken as zero.There are four parameters involved in the proposed model to bring variation in the shape of the glottal pulse.The current model is very flexible in designing a glottal pulse and is comparable with the famous Liljencrants-Fant model,Rosenberg model,and KLGLOTT88 model.This comparison supports its successful implementation as a voice source in speech synthesis which also leads to the validity of our differential equation-based glottal model.
摘要this paper,we introduce and study a new class of evolutionary differential hemivariational inequalities in Banach spaces.Using a fixed-point theorem,we first establish the existence and uniqueness of mild solutions for the evolutionary differential hemivariational inequality.Building on this result,we then investigate the stability of the evolutionary differential hemivariational inequality problem under perturbations of the mappings,constraint set,and infinitesimal generator of the Co-semigroup etB.
基金supported by the National Natural Science Foundation of China(Grant Nos.12302261,12072064,and 12402235).
摘要High-temperature dynamic seals are the structures used to seal movable clearances in high-temperature environments.The essential components of these seals are the fiber-braided seal strips.When it is working,the strip is subjected to a transverse preload,decreasing its porosity and restricting gas flow to achieve sealing.To implement seal design,efficient numerical analysis is essential,which is supposed to involve the deformation,heat transfer,seepage,and the interactions among these physical processes.In this paper,a nonlinear thermal-mechanics-seepage coupled contact model is used to describe the seal strips with circular sections.An element differential scheme is proposed to solve the coupled governing equations,and an iterative procedure based on the element differential method(EDM)tracks the contact interfaces,which further determines the range of boundary conditions of other physical fields.The proposed method simplifies the computation by avoiding integral evaluations and reducing matrix density.Two examples are implemented to verify the correctness of the proposed scheme and to predict the variations in physical variables of the seal structures.Furthermore,a comparison between the EDM and finite element method results indicates that the EDM is more efficient because of fewer contact iterations and a sparser coefficient matrix.
基金supported in part by the National Natural Science Foundation of China(Grant No.61971291)the Basic Scientific Research Project of the Liaoning Provincial Department of Education(LJ212410144013)+2 种基金the Leading Talent of the‘Xing Liao Ying Cai Plan’(XLYC2202013)the Shenyang Natural Science Foundation(22-315-6-10)the Guangxuan Scholar of Shenyang Ligong University(SYLUGXXZ202205).
摘要With the popularization of smart devices,Location-Based Services(LBS)greatly facilitates users’life,but at the same time brings the risk of users’location privacy leakage.Existing location privacy protection methods are deficient,failing to reasonably allocate the privacy budget for non-outlier location points and ignoring the critical location information that may be contained in the outlier points,leading to decreased data availability and privacy exposure problems.To address these problems,this paper proposes a Mix Location Privacy Preservation Method Based on Differential Privacy with Clustering(MLDP).The method first utilizes the DBSCAN clustering algorithm to classify location points into non-outliers and outliers.For non-outliers,the scoring function is designed by combining geographic information and semantic information,and the privacy budget is allocated according to the heat intensity of the hotspot area;for outliers,the scoring function is constructed to allocate the privacy budget based on their correlation with the hotspot area.By comprehensively considering the geographic information,semantic information,and correlation with hotspot areas of the location points,a reasonable privacy budget is assigned to each location point,andfinallynoise is added throughthe Laplacemechanismto realizeprivacyprotection.Experimental results on tworeal trajectory datasets,Geolife and T-Drive,show that the MLDP approach significantly improves data availability while effectively protecting location privacy.Compared with the comparison methods,the maximum available data ratio of MLDP is 1.Moreover,compared with the RandomNoise method,its execution time is 0.056–0.061 s longer,and the logRE is 0.12951–0.62194 lower;compared with KemeansDP,QTK-DP,DPK-F,IDP-SC,and DPK-Means-up methods,it saves 0.114–0.296 s in execution time,and the logRE is 0.01112–0.38283 lower.
基金National Natural Science Foundation of China(62127814)。
摘要Real-time,phase-resolved detection of pulse dynamics remains a challenge for understanding fast pulse interactions in ultrafast lasers.It is also of critical importance in developing high-performance lasers,such as dual-comb lasers where more complex pulse interactions could exist.Here,a real-time delayed interferometry technique is introduced to enable single-shot measurement of the differential spectral phase between consecutive pulses in a properly designed dual-comb fiber laser.It enables the quantification of the attosecond period jitter of the unperturbed pulses as well as the complete intensity-phase spectro-temporal dynamics of soliton collisions.Besides the wavelength shifts and the associated pulse period changes previously reported,spectral phase evolution and ultrafast pulse-collision induced timing transients unreported before are successfully captured.Numerical simulations further validate the differential spectral phase measurement results during the collision.This work provides further insight into the understanding of pulse interactions in dual-comb lasers and could facilitate the design of these lasers that could better mimic the ideal frequency combs for precision metrology.
基金supported by the Chongqing Research Program of Basic Research and Frontier Technology(Chongqing Talent)(Grant No.cstc2024ycjh-bgzxm0048).
摘要The rapid advancement of the Internet of Things(IoT)has transformed edge devices from simple data collectors into intelligent units capable of local processing and collaborative learning.However,the vast amounts of sensitive data generated by these devices face severe constraints from“data silos”and risks of privacy breaches.Federated learning(FL),as a distributed collaborative paradigm that avoids sharing raw data,holds great promise in the IoT domain.Nevertheless,it remains vulnerable to gradient leakage threats.While traditional differential privacy(DP)techniques mitigate privacy risks,they often come at the cost of significantly reduced model performance—a limitation particularly pronounced in resource-constrained IoT environments characterised by non-independent and identically distributed(non-IID)data distribution.To bridge the gap between privacy preservation and high performance on heterogeneous data,this paper proposes a novel personalized federated learning(PFL)method,FedGLP-ADP.This method leverages historical gradient information to provide a more detailed partitioning of parameters,aiming to prevent personalized knowledge from being affected by noise as much as possible,thereby reducing model degradation.Building on this,we propose an adaptive DP mechanism that optimizes both the clipping and noising steps to minimize the impact of noise on global knowledge.Experimental results show that FedGLP-ADP exhibits superior performance compared to other representative methods under different privacy levels and non-IID degrees.
基金supported in part by the National Natural Science Foundation of China(No.52467008)Gansu Provincial Depatment of Education Youth Doctoral Suppo Project(2024QB-051).
摘要Addressing the limitations of inadequate stochastic disturbance characterization during wind turbine degradation processes that result in constrained modeling accuracy,replacement-based maintenance practices that deviate from actual operational conditions,and static maintenance strategies that fail to adapt to accelerated deterioration trends leading to suboptimal remaining useful life utilization,this study proposes a Time-Based Incomplete Maintenance(TBIM)strategy incorporating reliability constraints through stochastic differential equations(SDE).By quantifying stochastic interference via Brownian motion terms and characterizing nonlinear degradation features through state influence rate functions,a high-precision SDE degradation model is constructed,achieving 16%residual reduction compared to conventional ordinary differential equation(ODE)methods.The introduction of age reduction factors and failure rate growth factors establishes an incomplete maintenance mechanism that transcends traditional“as-good-as-new”assumptions,with the TBIM model demonstrating an additional 8.5%residual reduction relative to baseline SDE approaches.A dynamic maintenance interval optimization model driven by dual parameters—preventive maintenance threshold Rp and replacement threshold Rr—is designed to achieve synergistic optimization of equipment reliability and maintenance economics.Experimental validation demonstrates that the optimized TBIM extends equipment lifespan by 4.4%and reducesmaintenance costs by 4.16%at Rp=0.80,while achieving 17.2%lifespan enhancement and 14.6%cost reduction at Rp=0.90.This methodology provides a solution for wind turbine preventive maintenance that integrates condition sensitivity with strategic foresight.
基金National Natural Science Foundation of China(No.52375236)Fundamental Research Funds for the Central Universities of China(No.23D110316)。
摘要In reliability analyses,the absence of a priori information on the most probable point of failure(MPP)may result in overlooking critical points,thereby leading to biased assessment outcomes.Moreover,second-order reliability methods exhibit limited accuracy in highly nonlinear scenarios.To overcome these challenges,a novel reliability analysis strategy based on a multimodal differential evolution algorithm and a hypersphere integration method is proposed.Initially,the penalty function method is employed to reformulate the MPP search problem as a conditionally constrained optimization task.Subsequently,a differential evolution algorithm incorporating a population delineation strategy is utilized to identify all MPPs.Finally,a paraboloid equation is constructed based on the curvature of the limit-state function at the MPPs,and the failure probability of the structure is calculated by using the hypersphere integration method.The localization effectiveness of the MPPs is compared through multiple numerical cases and two engineering examples,with accuracy comparisons of failure probabilities against the first-order reliability method(FORM)and the secondorder reliability method(SORM).The results indicate that the method effectively identifies existing MPPs and achieves higher solution precision.