This paper presents a highly efficient implicit unified gas-kinetic particle(IUGKP)method for obtaining steady-state solutions of multi-scale phonon transport.The method adapts and reinterprets the integral solution o...This paper presents a highly efficient implicit unified gas-kinetic particle(IUGKP)method for obtaining steady-state solutions of multi-scale phonon transport.The method adapts and reinterprets the integral solution of the Bhatnagar-Gross-Krook(BGK)equation for time-independent solutions.The distribution function at a given point is determined solely by the surrounding equilibrium states,where the corresponding macroscopic quantities are computed through a weighted sum of equilibrium distribution functions from neighboring spatial positions.From a particle perspective,changes in macroscopic quantities within a cell result from particle transport across cell interfaces.These particles are sampled according to the equilibrium state of their original cells,accounting for their mean free path as the traveling distance.The IUGKP method evolves the solution according to the physical relaxation time scale,achieving high efficiency in large Knudsen number regimes.To accelerate convergence for small Knudsen numbers,an inexact Newton iteration method is implemented,incorporating macroscopic equations for convergence acceleration in the near-diffusive limit.The method also addresses spatial-temporal inconsistency caused by relaxation time variations in physical space through the null-collision concept.Numerical tests demonstrate the method’s excellent performance in accelerating multi-scale phonon transport solutions,achieving speedups of one to two orders of magnitude.The IUGKP method proves to be an efficient and accurate computational tool for simulating multiscale non-equilibrium heat transfer,offering significant advantages over traditional methods in both numerical performance and physical applicability.展开更多
The improved discrete velocity method(IDVM),a multiscale kinetic approach,solves both the Boltzmann model equation and the macroscopic governing equations.It maintains the simplicity of the conventional discrete veloc...The improved discrete velocity method(IDVM),a multiscale kinetic approach,solves both the Boltzmann model equation and the macroscopic governing equations.It maintains the simplicity of the conventional discrete velocity method while significantly enhancing accuracy and efficiency in the continuum flow regime.However,previous implementations of IDVM were limited to monatomic gases,rendering it inapplicable under real atmospheric conditions dominated by diatomic gases.In this paper,the fully implicit IDVM is extended to the Boltzmann-Rykov model equation to simulate multiscale gas flows involving the rotational non-equilibrium effects of diatomic molecules.This approach incorporates macroscopic governing equations to predict the equilibrium distribution function,enabling the fully implicit discretization of the BoltzmannRykov model equation and ensuring rapid convergence.Numerical simulations are performed for several cases,including the one-dimensional nitrogen shock tube,two-dimensional flows around a flat plate and a blunt circular cylinder,and threedimensional supersonic flow over a sphere.The results of the present algorithm show remarkable alignment with those from similar kinetic algorithms and experimental data,demonstrating its ability to simulate non-equilibrium diatomic gas flows.Relative to the conventional semi-implicit discrete velocity method and implicit kinetic methods with a macroscopic forecasting technique,the proposed approach attains varying degrees of acceleration.展开更多
We present a computer-modeling framework for photovoltaic(PV)source emulation that preserves the exact single-diode physics while enabling iteration-free,real-time evaluation.We derive two closed-form explicit solvers...We present a computer-modeling framework for photovoltaic(PV)source emulation that preserves the exact single-diode physics while enabling iteration-free,real-time evaluation.We derive two closed-form explicit solvers based on the Lambert W function:a voltage-driven V-Lambert solver for high-fidelity I–V computation and a resistance-driven R-Lambert solver designed for seamless integration in a closed-loop PV emulator.Unlike Taylor-linearized explicit models,our proposed formulation retains the exponential nonlinearity of the PV equations.It employs a numerically stable analytical evaluation that eliminates the need for lookup tables and root-finding,all while maintaining limited computational costs and a small memory footprint.The R-Lambert model is integrated into a buck-converter emulator equipped with a discrete PI regulator,which generates current references directly from sensed operating points,thus supporting hardware-constrained implementation.Comprehensive numerical experiments conducted on six commercial modules from various technologies(mono,poly,and multicrystalline)demonstrate significant accuracy improvements under the IEC EN 50530 near-MPP criterion:the V-Lambert solver reduces the±10%Vmpp band error by up to 61 times compared to an explicit-model baseline.Dynamic simulations under varying irradiance,temperature,and load conditions achieve millisecond-scale settling with accurate trajectory tracking.Additionally,processor-in-the-loop experimental validation on an embedded microcontroller supports the simulation results.By unifying exact analytical modeling with embedded realization,this work advances computer modeling for PV emulation,MPPT benchmarking,and controller verification in integrated renewable energy systems.展开更多
BACKGROUND Suicide risk assessment in individuals with non-suicidal self-injury(NSSI)is clinically challenging;implicit cognition tests may address limitations of explicit measures but lack systematic synthesis.AIM To...BACKGROUND Suicide risk assessment in individuals with non-suicidal self-injury(NSSI)is clinically challenging;implicit cognition tests may address limitations of explicit measures but lack systematic synthesis.AIM To synthesize evidence on the validity of implicit cognition tests for suicide risk assessment in individuals with NSSI.METHODS A systematic search of 6 databases(PsycINFO,PubMed,MEDLINE,EMBASE,CNKI,Wanfang Data)up to January 20,2023,was conducted.Eligible studies were quantitative;effect sizes[odds ratio(OR),Cohen’s d]with 95%confidence intervals were reported.The risk of bias was evaluated by the Newcastle-Ottawa Scale(EMBASE,CNKI,Wanfang Data)up to January 20,2023,was conducted.Eligible studies were quantitative;effect sizes(OR,Cohen’s d)with 95%confidence intervals were reported.The risk of bias was evaluated by the Newcastle-Ottawa Scale.RESULTS Nine studies were included.Implicit tests showed robust retrospective validity(Cohen’s d=0.71,OR=1.87)but time-dependent prospective validity(effective≤3 months,inconsistent≥6 months).They complemented but did not replace explicit measures.CONCLUSION Implicit cognition tests are valuable adjuncts for short-term suicide risk assessment in adolescents with NSSI.展开更多
Structure-guided inversion has been increasingly adopted to enhance structural features and improve the interpretability of seismic impedance imaging.However,the limited bandwidth of seismic wavelets leads to low-reso...Structure-guided inversion has been increasingly adopted to enhance structural features and improve the interpretability of seismic impedance imaging.However,the limited bandwidth of seismic wavelets leads to low-resolution poststack records,which inevitably compromises the accuracy of structural estimates in discontinuous regions.Consequently,the success of this approach critically depends on the appropriate use of structural information as geometric constraints.To address this limitation,we propose an adaptive structure-guided approach that maintains large-scale structural continuity while preserving fine-scale variability.The average structural similarity(ASSIM)index and structural constraint sensitivity(SCS)index are introduced to adjust the structural penalty intensity across adjacent traces.The former metric determines the upper bound of penalty intensity for uniform structural constraints,while the latter one characterizes regions prone to distortion where a local reduction in lateral smoothing is required.In addition,the sparse constraint is separated from the objective function and implicitly applied via an iteratively refined reference model,which is generated by an adaptive edge-preserving filter(AEPF)followed by L2-TV denoising.This combined strategy promotes blocky impedance reconstruction and effectively preserves thin-layer details.Numerical and field examples demonstrate the superiority of the proposed approach.These improvements establish a more rational and geologically consistent framework for incorporating prior structural information,thereby enhancing the practicality and imaging performance of the structure-guided inversion in complex scenarios.展开更多
Topology optimization is widely used in lightweight structural design to determine optimal material distributions.However,density-based results are represented in an implicit pixel-wise form with blurred boundaries an...Topology optimization is widely used in lightweight structural design to determine optimal material distributions.However,density-based results are represented in an implicit pixel-wise form with blurred boundaries and jagged contours,which limits their direct use in engineering design and manufacturing.This study proposes a two-stage post-processing framework to reconstruct topology optimization results into explicit parametric geometries while preserving structural performance.The framework first extracts and processes contour points from the optimized density field and reconstructs the geometry using Non-Uniform Rational B-Splines(NURBS).A subsequent shape optimization step based on the fixed-grid finite element method(FG-FEM)adjusts boundary control points to reduce performance deviation introduced during reconstruction while satisfying volume and topological homeomorphism constraints.Numerical examples,including the cantilever beam,Michell beam,half-MBB beam,and a quadcopter frame,validate the effectiveness of the framework.The results show that the proposed method enables explicit geometric reconstruction while maintaining structural performance,with compliance deviations within 0.5%-2.6%in benchmark cases.展开更多
In this work,we integrated the multiple time step(MTS)approach with the generalized Born(GB)implicit solvent model for molecular dynamics(MD)simulations of protein systems.The total forces for the protein systems can ...In this work,we integrated the multiple time step(MTS)approach with the generalized Born(GB)implicit solvent model for molecular dynamics(MD)simulations of protein systems.The total forces for the protein systems can be decomposed into two terms:slow forces corresponding to the solvation energy term in GB,and fast forces relevant to potential energy in vacuum.An integrator with the reversible Trotter decomposition scheme,in which the former is determined each N steps and used for the next N1 steps,was performed on MD simulations of four protein systems with different secondary structures.It was observed that the results using MTS until N=4 are in good agreement with the reference simulations in which each force term is updated at each step.We further compared the performances of four widelyused GB models:STILL,HCT,OBC and GRYCUK,in the framework of GB-MTS.The influence of different Born radius calculation methods is usually more significant than that of the MTS approach.展开更多
Implicit Neural Representation(INR)is a technique that models continuous signals using neural networks,replacing traditional discrete grid representations with a coordinate-to-value mapping function.As a data carrier,...Implicit Neural Representation(INR)is a technique that models continuous signals using neural networks,replacing traditional discrete grid representations with a coordinate-to-value mapping function.As a data carrier,INR is gradually being adopted as the target for steganographic processing.However,existing INR-based steganographic schemes typically require modifying network structures(e.g.,weights,nodes)and retraining to obtain stego INRs,leading to high time consumption and the need for re-training when replacing cover images.To address this issue,this paper proposes StegaMIR(Steganography via Modulated Implicit Representations),an image steganographic scheme based on modulated implicit representations.It adopts the Functa(Fast Implicit Neural Representation Framework)framework for fast data implicit representation,which represents data as a base network and a corresponding modulation vector.To embed messages,a fixed message extractor is introduced to constrain the image reconstructed by the modulation vector and the base network,yielding stego modulation,which is then combined with the base network to construct the stego INR.The sender samples a stego image from it for transmission,while the receiver recovers the secret message using the fixed message extractor,thereby completing covert communication.Experiments demonstrate that StegaMIR can efficiently construct an INR-based steganographic model for images,achieving a message extraction accuracy of over 97%with an average embedding time of 8 s per image,representing a 95.6%reduction compared to existing methods.展开更多
Dear Editor,This letter introduces the counterfactual-guided implicit correspondence prompting(CICP)framework,designed for visible-infrared person re-identification(VI-ReID)within Industry 5.0 intelligent control syst...Dear Editor,This letter introduces the counterfactual-guided implicit correspondence prompting(CICP)framework,designed for visible-infrared person re-identification(VI-ReID)within Industry 5.0 intelligent control systems.CICP advances recognition accuracy in complex industrial environments through its innovative approach to handling modality-specific features and their implicit relationships.展开更多
Existing deep-learning-based steganography methods are typically designed for single-modality cover data and often rely on modality-specific network structures,which limits their cross-modal adaptability.To address th...Existing deep-learning-based steganography methods are typically designed for single-modality cover data and often rely on modality-specific network structures,which limits their cross-modal adaptability.To address this limitation,this paper proposes a multimodal implicit neural representation(INR)steganographic framework based on a point-cloud intermediate representation.The framework first fits the cover data as a carrier INR and samples the fitted carrier into a noisy point cloud.A pre-shared noise seed and secret key are then used to reproduce the carrier-derived point cloud and select a key-dependent point subset as the secret point cloud.Finally,a separate extractor,which is architecturally independent of the carrier INR,is trained to reconstruct the secret image from the secret point cloud.Instead of being treated as a decoder attached to the carrier network,the extractor can be encapsulated as a submodule within another neural network for delivery.On the receiver side,the secret image can be recovered only when the carrier INR,noise seed,secret key,and corresponding extractor are jointly available.Experimental results show that the reconstructed secret images achieve peak signal-to-noise ratio(PSNR)values above 40 dB on the CelebFaces Attributes-High Quality(CelebA-HQ),Common Objects in Context(COCO),and DIVerse 2K resolution(DIV2K)datasets.展开更多
In this work,a method is put forward to obtain the dynamic solution efficiently and accurately for a large-scale train-track-substructure(TTS)system.It is called implicit-explicit integration and multi-time-step solut...In this work,a method is put forward to obtain the dynamic solution efficiently and accurately for a large-scale train-track-substructure(TTS)system.It is called implicit-explicit integration and multi-time-step solution method(abbreviated as mI-nE-MTS method).The TTS system is divided into train-track subsystem and substruc-ture subsystem.Considering that the root cause of low effi-ciency of obtaining TTS solution lies in solving the alge-braic equation of the substructures,the high-efficient Zhai method,an explicit integration scheme,can be introduced to avoid matrix inversion process.The train-track system is solved by implicitly Park method.Moreover,it is known that the requirement of time step size differs for different sub-systems,integration methods and structural frequency response characteristics.A multi-time-step solution is pro-posed,in which time step size for the train-track subsystem and the substructure subsystem can be arbitrarily chosen once satisfying stability and precision demand,namely the time spent for m implicit integral steps is equal to n explicit integral steps,i.e.,mI=nE as mentioned above.The numeri-cal examples show the accuracy,efficiency,and engineering practicality of the proposed method.展开更多
This paper deals with an efficient two-step time split explicit/implicit scheme applied to a two-dimensional nonlinear unsteady convection-diffusionreaction equation.The computational cost of the new algorithm at each...This paper deals with an efficient two-step time split explicit/implicit scheme applied to a two-dimensional nonlinear unsteady convection-diffusionreaction equation.The computational cost of the new algorithm at each time level is equivalent to solving a pentadiagonalmatrix equation with strictly dominant diagonal elements.Such a bandwidth matrix can be easily inverted using the Gaussian Decomposition and the corresponding linear system should be solved by the back substitutionmethod.The proposed approach is unconditionally stable,temporal second-order accuracy and fourth-order convergence in space.These results suggest that the developed technique is faster and more efficient than a large class of numerical methods studied in the literature for the considered initial-boundary value problem.Numerical experiments are carried out to confirm the theoretical analysis and to demonstrate the performance of the constructed numerical scheme.展开更多
Evidence suggests that explicit reappraisal has limited regulatory effects on high-intensity emotions,mainly due to the depletion of cognitive resources occupied by the high-intensity emotional stimulus itself.The imp...Evidence suggests that explicit reappraisal has limited regulatory effects on high-intensity emotions,mainly due to the depletion of cognitive resources occupied by the high-intensity emotional stimulus itself.The implicit form of reappraisal has proved to be resource-saving and therefore might be an ideal strategy to achieve the desired regulatory effect in high-intensity situations.In this study,we explored the regulatory effect of explicit and implicit reappraisal when participants encountered low-and high-intensity negative images.The subjective emotional rating indicated that both explicit and implicit reappraisal down-regulated negative experiences,irrespective of intensity.However,the amplitude of the parietal late positive potential(LPP;a neural index of experienced emotional intensity)showed that only implicit reappraisal had significant regulatory effects in the high-intensity context,though both explicit and implicit reappraisal successfully reduced the emotional neural responses elicited by low-intensity negative images.Meanwhile,implicit reappraisal led to a smaller frontal LPP amplitude(an index of cognitive cost)compared to explicit reappraisal,indicating that the implementation of implicit reappraisal consumes limited cognitive control resources.Furthermore,we found a prolonged effect of implicit emotion regulation introduced by training procedures.Taken together,these findings not only reveal that implicit reappraisal is suitable to relieve high-intensity negative experiences as well as neural responses,but also highlight the potential benefit of trained implicit regulation in clinical populations whose frontal control resources are limited.展开更多
Earth-to-Moon missions with low thrust-to-weight ratios present unique challenges for exoatmospheric guidance,and the existing algorithms are ineffective for the unprecedentedly long burn arcs and high orbital eccentr...Earth-to-Moon missions with low thrust-to-weight ratios present unique challenges for exoatmospheric guidance,and the existing algorithms are ineffective for the unprecedentedly long burn arcs and high orbital eccentricities.To address these challenges,a Long Burn Arc Powered Explicit Guidance(LBA-PEG)algorithm is developed and compared with the existing algorithms.In the proposed LBA-PEG algorithm,a fully numerical thrust prediction method is developed to accurately predict the highly nonlinear thrust effects over long burn arcs.Moreover,a real-time Newton correction method is proposed to correct the orbit injection point,remedying the position-velocity coupling induced by high orbital eccentricities.The comparison between the proposed algorithm and the existing algorithm shows that the proposed algorithm surpasses the existing ones by significantly enhancing fuel efficiency and improving tolerance to thrust decrease.The proposed LBA-PEG algorithm can adapt to a 65%thrust decrease,which is 12%–22%larger than that of the existing algorithms,and it can still reliably converge and complete the guidance mission even when the length of the burn arc exceeds 90°.The proposed LBA-PEG highlights the algorithm's adaptability for long burn arc missions,especially in critical scenarios such as manned Earth-to-Moon missions.展开更多
Implicit and explicit learning strategies of SL vocabulary acquisition are summarized based on precious studies and experiments. It is concluded that implicit learning strategies dolittlehelpto SL vocabulary acquisiti...Implicit and explicit learning strategies of SL vocabulary acquisition are summarized based on precious studies and experiments. It is concluded that implicit learning strategies dolittlehelpto SL vocabulary acquisition, but explicit learning strategies play a very important part in SL vocabulary acquisition. Besides, an assumption is proposed: the more obvious explicit learning is in vocabulary acquisition, the more words learners can acquire. It is hoped that this research has certain implications for SL learners and teaching.展开更多
The existing research on the path following of the autonomous electric vehicle(AEV)mainly focuses on the path planning and the kinematic control.However,the dynamic control with the state observation and the communica...The existing research on the path following of the autonomous electric vehicle(AEV)mainly focuses on the path planning and the kinematic control.However,the dynamic control with the state observation and the communication delay is usually ignored,so the path following performance of the AEV cannot be ensured.This article studies the observer-based path following control strategy for the AEV with the communication delay via a robust explicit model predictive control approach.Firstly,a projected interval unscented Kalman filter is proposed to observe the vehicle sideslip angle and yaw rate.The observer considers the state constraints during the observation process,and the robustness of the observer is also considered.Secondly,an explicit model predictive control is designed to reduce the computational complexity.Thirdly,considering the efficiency of the information transmission,the influence of the communication delay is considered when designing the observer-based path following control strategy.Finally,the numerical simulation and the hardware-in-the-loop test are conducted to examine the effectiveness and practicability of the proposed strategy.展开更多
To study the durability of a passenger car, this work investigates numerical simulation techniques. The investigations are based on an explicit implicit approach in which substructure techniques are used to reduce the...To study the durability of a passenger car, this work investigates numerical simulation techniques. The investigations are based on an explicit implicit approach in which substructure techniques are used to reduce the simulation time, allowing full vehicle dynamic analyses to be performed on a timescale that is dif cult or impossible with the conventional nite element model (FEM). The model used here includes all necessary nonlinearities in order to maintain accuracy. All key components of the car structure are modeled with deformable materials. Tire road interactions are modeled in the explicit package with contact-impact interfaces with arbitrary frictional and geometric properties. Key parameters of the responses of the car driven on six different kinds of test road surfaces are examined and compared with experimental values. It can be concluded that the explicit implicit co-simulation techniques used here are ef cient and accurate enough for engineering purposes. This paper also discusses the limitations of the proposed method and outlines possible improvements for future work.展开更多
Aspect’s extraction is a critical task in aspect-based sentiment analysis,including explicit and implicit aspects identification.While extensive research has identified explicit aspects,little effort has been put for...Aspect’s extraction is a critical task in aspect-based sentiment analysis,including explicit and implicit aspects identification.While extensive research has identified explicit aspects,little effort has been put forward on implicit aspects extraction due to the complexity of the problem.Moreover,existing research on implicit aspect identification is widely carried out on product reviews targeting specific aspects while neglecting sentences’dependency problems.Therefore,in this paper,a multi-level knowledge engineering approach for identifying implicit movie aspects is proposed.The proposed method first identifies explicit aspects using a variant of BiLSTM and CRF(Bidirectional Long Short Memory-Conditional Random Field),which serve as a memory to process dependent sentences to infer implicit aspects.It can identify implicit aspects from four types of sentences,including independent and three types of dependent sentences.The study is evaluated on a largemovie reviews dataset with 50k examples.The experimental results showed that the explicit aspect identification method achieved 89%F1-score and implicit aspect extraction methods achieved 76%F1-score.In addition,the proposed approach also performs better than the state-of-the-art techniques(NMFIAD andML-KB+)on the product review dataset,where it achieved 93%precision,92%recall,and 93%F1-score.展开更多
This paper presents an explicit formula based on reparameterization technique for progressively computing a simple root of a smooth function,which may have wide applications in robotics,geomagnetic navigation,geometri...This paper presents an explicit formula based on reparameterization technique for progressively computing a simple root of a smooth function,which may have wide applications in robotics,geomagnetic navigation,geometric processing and computer graphics.Comparing with Newton-like method,it can achieve convergence rate 2 by adding one more functional evaluation,improve the computational stability and ensure the convergence,and also obtain higher convergence rate and higher efficiency index.Compared with clipping methods for polynomials,it doesn't need to bound the polynomials,directly bound the roots and can also work well for non-polynomial functions with much higher computational efficiency.Comparing with previous progressive methods,it achieves a much higher computational efficiency and is extended to solve bivariate equation system.Numerical examples show its much better performance on approximation error,computational efficiency and computational stability.展开更多
The direct implicit particle-in-cell is a powerful kinetic method for researching plasma characteristics.However,it is time-consuming to obtain the future electromagnetic field in such a method since the field equatio...The direct implicit particle-in-cell is a powerful kinetic method for researching plasma characteristics.However,it is time-consuming to obtain the future electromagnetic field in such a method since the field equations contain time-dependent matrix coefficients.In this work,we propose to explicitly push particles and obtain the future electromagnetic field based on the information about the particles in the future.The new method retains the form of implicit particle pusher,but the future field is obtained by solving the traditional explicit equation.Several numerical experiments,including the motion of charged particle in electromagnetic field,plasma sheath,and free diffusion of plasma into vacuum,are implemented to evaluate the performance of the method.The results demonstrate that the proposed method can suppress finite-grid-instability resulting from the coarse spatial resolution in electron Debye length through the strong damping of high-frequency plasma oscillation,while accurately describe low-frequency plasma phenomena,with the price of losing the numerical stability at large time-step.We believe that this work is helpful for people to research the bounded plasma by using particle-in-cell simulations.展开更多
基金supported by the National Key R&D Program of China(Grant No.2022YFA1004500)the National Science Foundation of China(Grant Nos.12172316,92371107,12302378,92371201,and 52506078)+1 种基金Hong Kong research grant council(Grant Nos.16301222 and 16208324)the Natural Science Basic Research Plan in Shaanxi Province of China(Grant No.2025SYS-SYSZD-070)。
摘要This paper presents a highly efficient implicit unified gas-kinetic particle(IUGKP)method for obtaining steady-state solutions of multi-scale phonon transport.The method adapts and reinterprets the integral solution of the Bhatnagar-Gross-Krook(BGK)equation for time-independent solutions.The distribution function at a given point is determined solely by the surrounding equilibrium states,where the corresponding macroscopic quantities are computed through a weighted sum of equilibrium distribution functions from neighboring spatial positions.From a particle perspective,changes in macroscopic quantities within a cell result from particle transport across cell interfaces.These particles are sampled according to the equilibrium state of their original cells,accounting for their mean free path as the traveling distance.The IUGKP method evolves the solution according to the physical relaxation time scale,achieving high efficiency in large Knudsen number regimes.To accelerate convergence for small Knudsen numbers,an inexact Newton iteration method is implemented,incorporating macroscopic equations for convergence acceleration in the near-diffusive limit.The method also addresses spatial-temporal inconsistency caused by relaxation time variations in physical space through the null-collision concept.Numerical tests demonstrate the method’s excellent performance in accelerating multi-scale phonon transport solutions,achieving speedups of one to two orders of magnitude.The IUGKP method proves to be an efficient and accurate computational tool for simulating multiscale non-equilibrium heat transfer,offering significant advantages over traditional methods in both numerical performance and physical applicability.
基金support by the National Key Basic Research Projects(Grant No.2022JCJQZD20600).
摘要The improved discrete velocity method(IDVM),a multiscale kinetic approach,solves both the Boltzmann model equation and the macroscopic governing equations.It maintains the simplicity of the conventional discrete velocity method while significantly enhancing accuracy and efficiency in the continuum flow regime.However,previous implementations of IDVM were limited to monatomic gases,rendering it inapplicable under real atmospheric conditions dominated by diatomic gases.In this paper,the fully implicit IDVM is extended to the Boltzmann-Rykov model equation to simulate multiscale gas flows involving the rotational non-equilibrium effects of diatomic molecules.This approach incorporates macroscopic governing equations to predict the equilibrium distribution function,enabling the fully implicit discretization of the BoltzmannRykov model equation and ensuring rapid convergence.Numerical simulations are performed for several cases,including the one-dimensional nitrogen shock tube,two-dimensional flows around a flat plate and a blunt circular cylinder,and threedimensional supersonic flow over a sphere.The results of the present algorithm show remarkable alignment with those from similar kinetic algorithms and experimental data,demonstrating its ability to simulate non-equilibrium diatomic gas flows.Relative to the conventional semi-implicit discrete velocity method and implicit kinetic methods with a macroscopic forecasting technique,the proposed approach attains varying degrees of acceleration.
基金funded by Scientific Research Deanship at University of Ha’il-Saudi Arabia through project number(RG-24014).
摘要We present a computer-modeling framework for photovoltaic(PV)source emulation that preserves the exact single-diode physics while enabling iteration-free,real-time evaluation.We derive two closed-form explicit solvers based on the Lambert W function:a voltage-driven V-Lambert solver for high-fidelity I–V computation and a resistance-driven R-Lambert solver designed for seamless integration in a closed-loop PV emulator.Unlike Taylor-linearized explicit models,our proposed formulation retains the exponential nonlinearity of the PV equations.It employs a numerically stable analytical evaluation that eliminates the need for lookup tables and root-finding,all while maintaining limited computational costs and a small memory footprint.The R-Lambert model is integrated into a buck-converter emulator equipped with a discrete PI regulator,which generates current references directly from sensed operating points,thus supporting hardware-constrained implementation.Comprehensive numerical experiments conducted on six commercial modules from various technologies(mono,poly,and multicrystalline)demonstrate significant accuracy improvements under the IEC EN 50530 near-MPP criterion:the V-Lambert solver reduces the±10%Vmpp band error by up to 61 times compared to an explicit-model baseline.Dynamic simulations under varying irradiance,temperature,and load conditions achieve millisecond-scale settling with accurate trajectory tracking.Additionally,processor-in-the-loop experimental validation on an embedded microcontroller supports the simulation results.By unifying exact analytical modeling with embedded realization,this work advances computer modeling for PV emulation,MPPT benchmarking,and controller verification in integrated renewable energy systems.
基金Supported by Fujian Provincial Health and Family Planning Youth Scientific Research Project,No.2021QNB027Guiding Project for Medical and Health Care of Xiamen City,No.3502Z20209245。
摘要BACKGROUND Suicide risk assessment in individuals with non-suicidal self-injury(NSSI)is clinically challenging;implicit cognition tests may address limitations of explicit measures but lack systematic synthesis.AIM To synthesize evidence on the validity of implicit cognition tests for suicide risk assessment in individuals with NSSI.METHODS A systematic search of 6 databases(PsycINFO,PubMed,MEDLINE,EMBASE,CNKI,Wanfang Data)up to January 20,2023,was conducted.Eligible studies were quantitative;effect sizes[odds ratio(OR),Cohen’s d]with 95%confidence intervals were reported.The risk of bias was evaluated by the Newcastle-Ottawa Scale(EMBASE,CNKI,Wanfang Data)up to January 20,2023,was conducted.Eligible studies were quantitative;effect sizes(OR,Cohen’s d)with 95%confidence intervals were reported.The risk of bias was evaluated by the Newcastle-Ottawa Scale.RESULTS Nine studies were included.Implicit tests showed robust retrospective validity(Cohen’s d=0.71,OR=1.87)but time-dependent prospective validity(effective≤3 months,inconsistent≥6 months).They complemented but did not replace explicit measures.CONCLUSION Implicit cognition tests are valuable adjuncts for short-term suicide risk assessment in adolescents with NSSI.
基金supported in part by the National Natural Science Foundation of China(Grant Nos.42474173,42574204)in part by the Natural Science Foundation of Hunan Province(Grant No.2024JJ5143)+2 种基金in part by the Scientific Research Project of the Hunan Provincial Department of Education(Grant No.24B0474)in part by the Hunan Provincial Innovation Foundation for Postgraduate(Grant No.CX20250280)in part by Fundamental Research Funds for the Central Universities of Central South University(Grant No.2025ZZTS0283)。
摘要Structure-guided inversion has been increasingly adopted to enhance structural features and improve the interpretability of seismic impedance imaging.However,the limited bandwidth of seismic wavelets leads to low-resolution poststack records,which inevitably compromises the accuracy of structural estimates in discontinuous regions.Consequently,the success of this approach critically depends on the appropriate use of structural information as geometric constraints.To address this limitation,we propose an adaptive structure-guided approach that maintains large-scale structural continuity while preserving fine-scale variability.The average structural similarity(ASSIM)index and structural constraint sensitivity(SCS)index are introduced to adjust the structural penalty intensity across adjacent traces.The former metric determines the upper bound of penalty intensity for uniform structural constraints,while the latter one characterizes regions prone to distortion where a local reduction in lateral smoothing is required.In addition,the sparse constraint is separated from the objective function and implicitly applied via an iteratively refined reference model,which is generated by an adaptive edge-preserving filter(AEPF)followed by L2-TV denoising.This combined strategy promotes blocky impedance reconstruction and effectively preserves thin-layer details.Numerical and field examples demonstrate the superiority of the proposed approach.These improvements establish a more rational and geologically consistent framework for incorporating prior structural information,thereby enhancing the practicality and imaging performance of the structure-guided inversion in complex scenarios.
基金funded by the National Natural Science Foundation of China under Grant No.92371206.
摘要Topology optimization is widely used in lightweight structural design to determine optimal material distributions.However,density-based results are represented in an implicit pixel-wise form with blurred boundaries and jagged contours,which limits their direct use in engineering design and manufacturing.This study proposes a two-stage post-processing framework to reconstruct topology optimization results into explicit parametric geometries while preserving structural performance.The framework first extracts and processes contour points from the optimized density field and reconstructs the geometry using Non-Uniform Rational B-Splines(NURBS).A subsequent shape optimization step based on the fixed-grid finite element method(FG-FEM)adjusts boundary control points to reduce performance deviation introduced during reconstruction while satisfying volume and topological homeomorphism constraints.Numerical examples,including the cantilever beam,Michell beam,half-MBB beam,and a quadcopter frame,validate the effectiveness of the framework.The results show that the proposed method enables explicit geometric reconstruction while maintaining structural performance,with compliance deviations within 0.5%-2.6%in benchmark cases.
基金supported by the National Key Research and Development Program of China(No.2019YFA0709400)the Key Science and Technology Project of Jinhua City(2023-1-093)+1 种基金the Zhejiang Provincial Natural Science Foundation of China(No.LZ23B030001)the Fundamental Research Funds for the Central Universities。
摘要In this work,we integrated the multiple time step(MTS)approach with the generalized Born(GB)implicit solvent model for molecular dynamics(MD)simulations of protein systems.The total forces for the protein systems can be decomposed into two terms:slow forces corresponding to the solvation energy term in GB,and fast forces relevant to potential energy in vacuum.An integrator with the reversible Trotter decomposition scheme,in which the former is determined each N steps and used for the next N1 steps,was performed on MD simulations of four protein systems with different secondary structures.It was observed that the results using MTS until N=4 are in good agreement with the reference simulations in which each force term is updated at each step.We further compared the performances of four widelyused GB models:STILL,HCT,OBC and GRYCUK,in the framework of GB-MTS.The influence of different Born radius calculation methods is usually more significant than that of the MTS approach.
基金funded by the National Natural Science Foundation of China,grant numbers 62272478,61872384 and 62102451.
摘要Implicit Neural Representation(INR)is a technique that models continuous signals using neural networks,replacing traditional discrete grid representations with a coordinate-to-value mapping function.As a data carrier,INR is gradually being adopted as the target for steganographic processing.However,existing INR-based steganographic schemes typically require modifying network structures(e.g.,weights,nodes)and retraining to obtain stego INRs,leading to high time consumption and the need for re-training when replacing cover images.To address this issue,this paper proposes StegaMIR(Steganography via Modulated Implicit Representations),an image steganographic scheme based on modulated implicit representations.It adopts the Functa(Fast Implicit Neural Representation Framework)framework for fast data implicit representation,which represents data as a base network and a corresponding modulation vector.To embed messages,a fixed message extractor is introduced to constrain the image reconstructed by the modulation vector and the base network,yielding stego modulation,which is then combined with the base network to construct the stego INR.The sender samples a stego image from it for transmission,while the receiver recovers the secret message using the fixed message extractor,thereby completing covert communication.Experiments demonstrate that StegaMIR can efficiently construct an INR-based steganographic model for images,achieving a message extraction accuracy of over 97%with an average embedding time of 8 s per image,representing a 95.6%reduction compared to existing methods.
基金supported in part by the National Natural Science Foundation of China(62406177)the Shandong Excellent Young Scientists Fund(Oversea)(2024HWYQ-027)+1 种基金the Natural Science Foundation of Shandong Province(ZR2023QF124)the Young Scholars Program of Shandong University。
摘要Dear Editor,This letter introduces the counterfactual-guided implicit correspondence prompting(CICP)framework,designed for visible-infrared person re-identification(VI-ReID)within Industry 5.0 intelligent control systems.CICP advances recognition accuracy in complex industrial environments through its innovative approach to handling modality-specific features and their implicit relationships.
基金funded by the National Natural Science Foundation of China,grant numbers 62272478,61872384 and 62102451。
摘要Existing deep-learning-based steganography methods are typically designed for single-modality cover data and often rely on modality-specific network structures,which limits their cross-modal adaptability.To address this limitation,this paper proposes a multimodal implicit neural representation(INR)steganographic framework based on a point-cloud intermediate representation.The framework first fits the cover data as a carrier INR and samples the fitted carrier into a noisy point cloud.A pre-shared noise seed and secret key are then used to reproduce the carrier-derived point cloud and select a key-dependent point subset as the secret point cloud.Finally,a separate extractor,which is architecturally independent of the carrier INR,is trained to reconstruct the secret image from the secret point cloud.Instead of being treated as a decoder attached to the carrier network,the extractor can be encapsulated as a submodule within another neural network for delivery.On the receiver side,the secret image can be recovered only when the carrier INR,noise seed,secret key,and corresponding extractor are jointly available.Experimental results show that the reconstructed secret images achieve peak signal-to-noise ratio(PSNR)values above 40 dB on the CelebFaces Attributes-High Quality(CelebA-HQ),Common Objects in Context(COCO),and DIVerse 2K resolution(DIV2K)datasets.
基金This work was supported by the National Natural Science Foundation of China(Grant Nos.52008404,U1934217 and 11790283)Science and Technology Research and Development Program Project of China Railway Group Limited(Major Special Project,No.2020-Special-02)the National Natural Science Foundation of Hunan Province(Grant No.2021JJ30850).
摘要In this work,a method is put forward to obtain the dynamic solution efficiently and accurately for a large-scale train-track-substructure(TTS)system.It is called implicit-explicit integration and multi-time-step solution method(abbreviated as mI-nE-MTS method).The TTS system is divided into train-track subsystem and substruc-ture subsystem.Considering that the root cause of low effi-ciency of obtaining TTS solution lies in solving the alge-braic equation of the substructures,the high-efficient Zhai method,an explicit integration scheme,can be introduced to avoid matrix inversion process.The train-track system is solved by implicitly Park method.Moreover,it is known that the requirement of time step size differs for different sub-systems,integration methods and structural frequency response characteristics.A multi-time-step solution is pro-posed,in which time step size for the train-track subsystem and the substructure subsystem can be arbitrarily chosen once satisfying stability and precision demand,namely the time spent for m implicit integral steps is equal to n explicit integral steps,i.e.,mI=nE as mentioned above.The numeri-cal examples show the accuracy,efficiency,and engineering practicality of the proposed method.
摘要This paper deals with an efficient two-step time split explicit/implicit scheme applied to a two-dimensional nonlinear unsteady convection-diffusionreaction equation.The computational cost of the new algorithm at each time level is equivalent to solving a pentadiagonalmatrix equation with strictly dominant diagonal elements.Such a bandwidth matrix can be easily inverted using the Gaussian Decomposition and the corresponding linear system should be solved by the back substitutionmethod.The proposed approach is unconditionally stable,temporal second-order accuracy and fourth-order convergence in space.These results suggest that the developed technique is faster and more efficient than a large class of numerical methods studied in the literature for the considered initial-boundary value problem.Numerical experiments are carried out to confirm the theoretical analysis and to demonstrate the performance of the constructed numerical scheme.
基金supported by the National Natural Science Foundation of China(32271102,31970980,31920103009)the Major Project of the National Social Science Foundation(20&ZD153)+1 种基金the Shenzhen-Hong Kong Institute of Brain Science(2022SHIBS0003)the Guangdong Key Project(2018B030335001).
摘要Evidence suggests that explicit reappraisal has limited regulatory effects on high-intensity emotions,mainly due to the depletion of cognitive resources occupied by the high-intensity emotional stimulus itself.The implicit form of reappraisal has proved to be resource-saving and therefore might be an ideal strategy to achieve the desired regulatory effect in high-intensity situations.In this study,we explored the regulatory effect of explicit and implicit reappraisal when participants encountered low-and high-intensity negative images.The subjective emotional rating indicated that both explicit and implicit reappraisal down-regulated negative experiences,irrespective of intensity.However,the amplitude of the parietal late positive potential(LPP;a neural index of experienced emotional intensity)showed that only implicit reappraisal had significant regulatory effects in the high-intensity context,though both explicit and implicit reappraisal successfully reduced the emotional neural responses elicited by low-intensity negative images.Meanwhile,implicit reappraisal led to a smaller frontal LPP amplitude(an index of cognitive cost)compared to explicit reappraisal,indicating that the implementation of implicit reappraisal consumes limited cognitive control resources.Furthermore,we found a prolonged effect of implicit emotion regulation introduced by training procedures.Taken together,these findings not only reveal that implicit reappraisal is suitable to relieve high-intensity negative experiences as well as neural responses,but also highlight the potential benefit of trained implicit regulation in clinical populations whose frontal control resources are limited.
摘要Earth-to-Moon missions with low thrust-to-weight ratios present unique challenges for exoatmospheric guidance,and the existing algorithms are ineffective for the unprecedentedly long burn arcs and high orbital eccentricities.To address these challenges,a Long Burn Arc Powered Explicit Guidance(LBA-PEG)algorithm is developed and compared with the existing algorithms.In the proposed LBA-PEG algorithm,a fully numerical thrust prediction method is developed to accurately predict the highly nonlinear thrust effects over long burn arcs.Moreover,a real-time Newton correction method is proposed to correct the orbit injection point,remedying the position-velocity coupling induced by high orbital eccentricities.The comparison between the proposed algorithm and the existing algorithm shows that the proposed algorithm surpasses the existing ones by significantly enhancing fuel efficiency and improving tolerance to thrust decrease.The proposed LBA-PEG algorithm can adapt to a 65%thrust decrease,which is 12%–22%larger than that of the existing algorithms,and it can still reliably converge and complete the guidance mission even when the length of the burn arc exceeds 90°.The proposed LBA-PEG highlights the algorithm's adaptability for long burn arc missions,especially in critical scenarios such as manned Earth-to-Moon missions.
摘要Implicit and explicit learning strategies of SL vocabulary acquisition are summarized based on precious studies and experiments. It is concluded that implicit learning strategies dolittlehelpto SL vocabulary acquisition, but explicit learning strategies play a very important part in SL vocabulary acquisition. Besides, an assumption is proposed: the more obvious explicit learning is in vocabulary acquisition, the more words learners can acquire. It is hoped that this research has certain implications for SL learners and teaching.
基金Supported by the National Key Research and Development Program of China(Grant No.2023YFE0204700)the National Natural Science Foundation of China(Grant Nos.52472402 and 52302469)+7 种基金the Guangdong Basic and Applied Basic Research Foundation(Grant Nos.2023A1515012327 and 2024A1515010449)the research grant of the University of Macao(Grant No.MYRG GRG2023-00235-FST-UMDF)Shandong Provincial Natural Science Foundation(Grant No.ZR2023ME133)the Fundamental Research Funds for the Central Universities(Grant No.N2403012)the Science and Technology Development Fund of Macao SAR(Grant No.0091/2023/AMJ)the China Postdoctoral Science Foundation(Grant Nos.2023M740538 and AM2024003)the Zhuhai Science and Technology Innovation Bureau(Grant No.2220004003107)the Yunfu Science and Technology Project(Grant No.2024090202).
摘要The existing research on the path following of the autonomous electric vehicle(AEV)mainly focuses on the path planning and the kinematic control.However,the dynamic control with the state observation and the communication delay is usually ignored,so the path following performance of the AEV cannot be ensured.This article studies the observer-based path following control strategy for the AEV with the communication delay via a robust explicit model predictive control approach.Firstly,a projected interval unscented Kalman filter is proposed to observe the vehicle sideslip angle and yaw rate.The observer considers the state constraints during the observation process,and the robustness of the observer is also considered.Secondly,an explicit model predictive control is designed to reduce the computational complexity.Thirdly,considering the efficiency of the information transmission,the influence of the communication delay is considered when designing the observer-based path following control strategy.Finally,the numerical simulation and the hardware-in-the-loop test are conducted to examine the effectiveness and practicability of the proposed strategy.
摘要To study the durability of a passenger car, this work investigates numerical simulation techniques. The investigations are based on an explicit implicit approach in which substructure techniques are used to reduce the simulation time, allowing full vehicle dynamic analyses to be performed on a timescale that is dif cult or impossible with the conventional nite element model (FEM). The model used here includes all necessary nonlinearities in order to maintain accuracy. All key components of the car structure are modeled with deformable materials. Tire road interactions are modeled in the explicit package with contact-impact interfaces with arbitrary frictional and geometric properties. Key parameters of the responses of the car driven on six different kinds of test road surfaces are examined and compared with experimental values. It can be concluded that the explicit implicit co-simulation techniques used here are ef cient and accurate enough for engineering purposes. This paper also discusses the limitations of the proposed method and outlines possible improvements for future work.
摘要Aspect’s extraction is a critical task in aspect-based sentiment analysis,including explicit and implicit aspects identification.While extensive research has identified explicit aspects,little effort has been put forward on implicit aspects extraction due to the complexity of the problem.Moreover,existing research on implicit aspect identification is widely carried out on product reviews targeting specific aspects while neglecting sentences’dependency problems.Therefore,in this paper,a multi-level knowledge engineering approach for identifying implicit movie aspects is proposed.The proposed method first identifies explicit aspects using a variant of BiLSTM and CRF(Bidirectional Long Short Memory-Conditional Random Field),which serve as a memory to process dependent sentences to infer implicit aspects.It can identify implicit aspects from four types of sentences,including independent and three types of dependent sentences.The study is evaluated on a largemovie reviews dataset with 50k examples.The experimental results showed that the explicit aspect identification method achieved 89%F1-score and implicit aspect extraction methods achieved 76%F1-score.In addition,the proposed approach also performs better than the state-of-the-art techniques(NMFIAD andML-KB+)on the product review dataset,where it achieved 93%precision,92%recall,and 93%F1-score.
基金Supported by the National Natural Science Foundation of China (61972120)。
摘要This paper presents an explicit formula based on reparameterization technique for progressively computing a simple root of a smooth function,which may have wide applications in robotics,geomagnetic navigation,geometric processing and computer graphics.Comparing with Newton-like method,it can achieve convergence rate 2 by adding one more functional evaluation,improve the computational stability and ensure the convergence,and also obtain higher convergence rate and higher efficiency index.Compared with clipping methods for polynomials,it doesn't need to bound the polynomials,directly bound the roots and can also work well for non-polynomial functions with much higher computational efficiency.Comparing with previous progressive methods,it achieves a much higher computational efficiency and is extended to solve bivariate equation system.Numerical examples show its much better performance on approximation error,computational efficiency and computational stability.
基金Project supported by the National Key Research and Development Program of China (Grant No.2022YFE03050001)partly by the National Natural Science Foundation of China (Grant No.12175160)the Project Funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD)。
摘要The direct implicit particle-in-cell is a powerful kinetic method for researching plasma characteristics.However,it is time-consuming to obtain the future electromagnetic field in such a method since the field equations contain time-dependent matrix coefficients.In this work,we propose to explicitly push particles and obtain the future electromagnetic field based on the information about the particles in the future.The new method retains the form of implicit particle pusher,but the future field is obtained by solving the traditional explicit equation.Several numerical experiments,including the motion of charged particle in electromagnetic field,plasma sheath,and free diffusion of plasma into vacuum,are implemented to evaluate the performance of the method.The results demonstrate that the proposed method can suppress finite-grid-instability resulting from the coarse spatial resolution in electron Debye length through the strong damping of high-frequency plasma oscillation,while accurately describe low-frequency plasma phenomena,with the price of losing the numerical stability at large time-step.We believe that this work is helpful for people to research the bounded plasma by using particle-in-cell simulations.