Dear Editor,The ongoing emergence of circulating recombinant forms(CRFs)of HIV-1 was recently reported among men who have sex with men(MSM)in China(Xiao et al.,2025;Xing et al.,2024).HIV-1’s global diversity is class...Dear Editor,The ongoing emergence of circulating recombinant forms(CRFs)of HIV-1 was recently reported among men who have sex with men(MSM)in China(Xiao et al.,2025;Xing et al.,2024).HIV-1’s global diversity is classified into four groups:M(Major,causing the pandemic),O(Outlier),N,and P.Group M,the most prevalent,is subdivided into subtypes(A-D,F-H and J-L).Recombinant viruses formed between subtypes are classified as either stable CRFs spreading in populations or unique recombinant forms(URFs).HIV-1 recombination significantly complicates HIV genetics and has the capacity to directly alter key viral properties.展开更多
Reconstruction of autonomous driving scenarios plays a pivotal role in vehicle testing.In recent years,approaches based on Neural Radiance Fields(NeRF) and 3D Gaussian Splatting(3D GS) have opened new avenues for enha...Reconstruction of autonomous driving scenarios plays a pivotal role in vehicle testing.In recent years,approaches based on Neural Radiance Fields(NeRF) and 3D Gaussian Splatting(3D GS) have opened new avenues for enhancing the performance of vehicle testing systems.This paper provides a systematic review of the latest research progress on NeRF and 3D GS in the context of autonomous driving scene reconstruction and explores their potential for future applications in the development of autonomous driving test systems.First,the paper briefly reviews the development trajectories of NeRF and 3D GS,presenting a concise timeline of representative works based on major databases such as Web of Science,IEEE Xplore,and arXiv,thereby offering essential background for the subsequent discussion.Next,the current state of research is comprehensively analyzed,with a particular focus on advancements in model architecture,scene editing,and the reconstruction of challenging autonomous driving scenarios.Finally,the paper outlines a research outlook on an integrated test system centered on NeRF or 3D GS,encompassing modules for large-scale dynamic scene reconstruction,autonomous scene editing,and perception-decision algorithms.This integrated framework aims to provide a valuable reference for building efficient and scalable testing platforms for autonomous driving.展开更多
Most metallic materials used in oil and gas fields are exposed to complex corrosive environments,where the corrosion behavior is governed not by the simple additive effects of individual media but by their synergistic...Most metallic materials used in oil and gas fields are exposed to complex corrosive environments,where the corrosion behavior is governed not by the simple additive effects of individual media but by their synergistic or antagonistic interactions.These multi-media interactions—such as CO2-Cl−,CO2-H2S,and CO2-O2-SO2combinations—can significantly accelerate localized corrosion,destabilize passive film,or alter interfacial electrochemical reactions,leading to severe material degradation and equipment failure.The dominant interaction mechanisms between typical corrosive species are systematically categorized,threshold concentrations that trigger corrosion mode transitions are identified,and their impact on passive film formation and breakdown is highlighted.Particular emphasis is placed on the evolution of corrosion product layers under combined environmental factors and their implications for long-term integrity of carbon steel pipelines.The findings aim to provide practical guidance for understanding emerging failure phenomena,optimizing corrosion monitoring strategies,and selecting targeted mitigation measures in complex oil and gas production environments.展开更多
Microseismic(MS)monitoring is an efficacious technology for the detection and early warning of rock mass instability in deep mining operations.However,existing MS-based early warning methodologies,which primarily rely...Microseismic(MS)monitoring is an efficacious technology for the detection and early warning of rock mass instability in deep mining operations.However,existing MS-based early warning methodologies,which primarily rely on singleparameter analysis or local clustering techniques,typically lack quantitative risk assessment capabilities.Inspired by the concept of a rock instability risk field,this study proposes a spatially continuous methodology for risk evaluation.Specifically,the Empirical Green’s Function(EGF)method is employed to estimate failure probabilities,while a Cloud Model is introduced to quantify potential severity.By integrating these components,a three-dimensional risk field function is formulated,using spatial coordinates as independent variables.Regional risk is then assessed through surface integral formulations,enabling a detailed characterization of its spatial distribution.The proposed methodology was applied to a lead-zinc mine in Northwest China.The calculated regional risk values demonstrate strong spatial consistency with energy density clusters identified using the DBSCAN algorithm.Quantitative comparisons reveal a significant positive correlation between the risk field outputs and independent MS event clusters,confirming the method’s efficacy in capturing the spatiotemporal concentration of instability potential.These findings indicate that representing rock instability risk as a continuous field enhances the regional interpretability of MS data and offers a quantitative foundation for dynamic hazard zonation in deep underground excavations.展开更多
Railways in desert suffer from windblown sand hazards,in which the problems at bridge-road transitions are usually more serious.However,the evolution of wind-sand flow fields and the associated deposition-erosion patt...Railways in desert suffer from windblown sand hazards,in which the problems at bridge-road transitions are usually more serious.However,the evolution of wind-sand flow fields and the associated deposition-erosion patterns around bridge-road transitions under different wind directions remain limited.In this study,numerical simulations are employed to study the influence of wind angle on the flow field structure,wind profiles,horizontal wind speed distribution,and sand deposition-erosion behavior around the bridge-road transition.The results indicate that as the wind angle increases,the leeward vortex recirculation zone expands,the peak of the vertical wind speed profile increases,and the horizontal wind speed decreases.With respect to deposition-erosion patterns,the sand deposition length on the windward sides of both the bridge pier and the bridge-road transition decreases with increasing wind angle.In contrast,the deposition length on the leeward side increases.Specifically,when the wind angle increases from 60°to 90°,the windward deposition length at the bridge-road transition decreases from 1.99H to 1.49H(H,the clear height of bridge),while the leeward deposition expands from 0.70H to 13.28H.In addition,the bridge-road transition section serves as a channel for sand transport,promoting the migration of sand toward the subgrade.A smaller wind angle enhances the lateral guidance effect on the wind-sand flow,resulting in a greater sand deposition length on the leeward side of the subgrade.Therefore,the prevention and control of sand hazards in the bridge-road transition section should not be neglected.It is necessary to regularly remove accumulated sand to prevent its spread from the transition section to the subgrade,which could threaten traffic safety.展开更多
We systematically studied the spin-lattice couplings in the CrF3monolayer.Our study reveals that the spin exchange constants between the nearest neighbors are notably affected by these couplings.Specifically,the co...We systematically studied the spin-lattice couplings in the CrF3monolayer.Our study reveals that the spin exchange constants between the nearest neighbors are notably affected by these couplings.Specifically,the couplings arise predominantly from three distinct phonon modes,namely the covariant,rotation,and stretch of the Cr-F-Cr-F rhombus.By integrating out the phonon degrees of freedom,we derived an effective spin Hamiltonian featuring four-spin product terms,which yields a remarkably intricate magnetic phase diagram.Significantly,numerous plateau states characterized by fractional magnetizations,including 1/2,1/3,2/3,1/4,1/5,5/8,1/9,2/9,and 3/11,emerge in the vicinity of the phase transition boundary separating ferromagnetic and antiferromagnetic states.These findings show the profound influence of spin-lattice couplings on magnetic properties near the magnetic phase boundaries.展开更多
How to transform an electromagnetic field across non-inertial frames of reference is a common challenge encountered in electromagnetic space measurements and analyses.Finding clear and precise ways to evaluate transfo...How to transform an electromagnetic field across non-inertial frames of reference is a common challenge encountered in electromagnetic space measurements and analyses.Finding clear and precise ways to evaluate transformation formulas can be difficult.This study presents results of a thorough theoretical investigation that has yielded universal transformation formulas;these transformations are successfully applied to two specific scenarios.We find that,for space plasmas,if the relative velocities of structures are significantly lower than the speed of light,Galilean transformations are suitable.The transformations presented in this paper are applicable,in low speed situations,to electromagnetic fields,electric potentials and magnetic vector potentials,and to charge density and current density,measured in various non-inertial reference frames.Truncation errors associated with these simplified transformations are calculated and shown to be acceptable.These findings have broad implications for space physics measurements and analyses.We address two key issues related to non-inertial frame transformations:first,how to derive a general formula for the rotational electric potential of planets with intrinsic magnetic fields;second,how to verify rigorously the calculation of charge density from MMS(Magnetospheric Multiscale)electrostatic field measurements.We suggest that,due to the validity of the Coulomb gauge,the Poisson equation can be applied in situations of low-speed motion,allowing MMS measurement data to be used to calculate minimal-error charge density.展开更多
Confronted with the inherent thermodynamic and kinetic challenges of Mg-based hydrogen storage materials(HSMs),research strategies have evolved from traditional alloying,nano-structuring,and catalytic modification tow...Confronted with the inherent thermodynamic and kinetic challenges of Mg-based hydrogen storage materials(HSMs),research strategies have evolved from traditional alloying,nano-structuring,and catalytic modification toward a new dual-track paradigm that integrates machine learning(ML)-based rational design with non-thermal external field(NTEF)-assisted precision regulation.ML significantly accelerates the design and screening of novel HSMs through efficient performance prediction,key descriptor extraction,and microscopic mechanism elucidation,while NTEF provides a powerful experimental means for non-equilibrium synthesis,microstructure optimization,and de-/hydrogenation behavior control by leveraging its unique high energy efficiency and tunability.These two approaches complement each other and jointly advance Mg-based HSMs toward higher performance,lower cost,and superior cycling stability,thereby establishing a solid scientific and technological foundation for safe,efficient hydrogen storage and transportation as well as large-scale hydrogen-thermal coupled application.展开更多
Non-equilibrium molecular dynamics simulations were conducted to study the growth and dissolution of a spherical methane hydrate crystallite,using a polarizable water potential,encircled by a liquid phase of saturated...Non-equilibrium molecular dynamics simulations were conducted to study the growth and dissolution of a spherical methane hydrate crystallite,using a polarizable water potential,encircled by a liquid phase of saturated water and methane,both in the microwave to far-infrared range and under applied external electromagnetic(e/m)fields(5 GHz to 7.5 THz)at r.m.s.electric-field strengths of up to the order of 1 V·nm-1-in an attempt to assess and model the“threshold”field intensities required to initiate hydrate dissolution.The average growth rate of the crystallite in the absence of a field was found to be approximately 0.32 water and 0.045 methane molecules per picosecond.Upon applying e/m fields,deviations from zero-field crystal growth patterns were observed for r.m.s.field strengths,especially at~1 V·nm-1as a rough‘threshold'.When the water dipole was aligned with the external field,systematic frequency variations were observed,providing a mechanistic rationale for field-coupling effects on dipole direction/magnitude and hydrogen-bonding shifts.展开更多
Current image inpainting models are primarily designed to achieve a large receptive field(RF)using refinement networks to incorporate different scales.However,these models fail to adapt the use of different RFs to the...Current image inpainting models are primarily designed to achieve a large receptive field(RF)using refinement networks to incorporate different scales.However,these models fail to adapt the use of different RFs to the specific patterns of image damage,resulting in artifacts and semantic information confusion in repaired images.To address the problems of artifacts and semantic information confusion,inspired by different sensitivities of different RFs to inpainting the same image damaged patterns,this study proposes an image inpainting method based on multiple receptive fields(MRFs)and dynamic matching of damaged patterns.First,the parallel filter banks are used to extract the MRF feature groups.Second,the features are dynamically weighted and screened,guided by the mask image,to construct a relationship that adaptively matches the most relevant RF to each specific damaged pattern.A fast Fourier convolution based decoder is used to enhance the fusion of global contextual features during the reconstruction of high dimensional features into low dimensional images.Comparative experimental results show that the proposed method achieves better subjective and objective inpainting results on three public datasets:Paris StreetView,CelebA-HQ,and Places2.展开更多
This paper introduces a framework for modeling random fields,with a particular emphasis on analyzing anisotropic spatial variability.It establishes a clear connection between the correlation function and the Kriging v...This paper introduces a framework for modeling random fields,with a particular emphasis on analyzing anisotropic spatial variability.It establishes a clear connection between the correlation function and the Kriging variogram across various anisotropic modes,providing mathematical models to enhance our understanding of random fields.A new anisotropy index,called LSAI,is introduced to quantify anisotropy based on the autocorrelation length and the orientation of the principal axes within the variogram.An LSAI value closer to one indicates a lower degree of anisotropy.The present study examines how the degree of anisotropy varies with different autocorrelation lengths and angles between the principal axes,providing valuable insights into these relationships.To improve the accuracy of parameter probability distribution estimations,this study integrates limited field test data using a Bayesian inference approach.Additionally,the Markov chain Monte Carlo simulation method is employed to develop a conditional random field(CRF)for the deformation modulus.By incorporating data from field bearing plate tests,the posterior variance data for the deformation modulus are derived.This process facilitates the construction of a detailed and reliable CRF for the deformation modulus.展开更多
High-fidelity field reconstruction has been a focal point for many research studies,as the measured sensor data are often sparse and incomplete in both time and space.Physics-informed neural networks(PINNs)have been p...High-fidelity field reconstruction has been a focal point for many research studies,as the measured sensor data are often sparse and incomplete in both time and space.Physics-informed neural networks(PINNs)have been proposed to reconstruct fields using imperfect data,as they incorporate physical principles and thereby reduce reliance on the known sensor data.However,the placement of sensors remains crucial for optimizing PINNs,and existing studies have not sufficiently considered this aspect.Therefore,developing algorithms that intelligently improve sensor placement is of significant importance.In this study,we introduce a general approach that employs differentiable programming with attention modules to optimize sensor placement during the training of a PINNs model in order to improve field reconstruction.We evaluate our method using three distinct cases:the Allen-Cahn equation problem,the lid-driven cavity flow problem,and the cylinder flow problem to demonstrate our approach effectiveness in flow field inference,system identification,and its capability for multi-condition generalization.The results indicate that our method improves test scores and effectively learns the optimal layout of sensors for various Reynolds numbers,which advances our understanding of the relationship between sensor placement and reconstruction precision using PINNs.展开更多
To examine the impact of anthropogenic land reconstruction,particularly the consolidation of small terraces into larger fields,on soil organic carbon(SOC),total nitrogen(TN)dynamics,rice yield,and its components,soil ...To examine the impact of anthropogenic land reconstruction,particularly the consolidation of small terraces into larger fields,on soil organic carbon(SOC),total nitrogen(TN)dynamics,rice yield,and its components,soil and plant samples were collected from seven newly reconstructed fields in Japanese Andosols in Tochigi,Japan.Samples were obtained from both the former low-and high-elevation sides within each field plot.During harvest season,nine rice plants were randomly selected from each plot(0.675 m2,comprising 3 rows and 3 hills per row),collected from a 3-m stretch along both the east(former low side)and west(former high side)ridges.Soil cores were collected from identical plots at two depths(0–15 and 15–30 cm)and combined into one composite sample per layer.Rice plant samples were air-dried for two weeks until reaching constant moisture content,after which stems and ears were separated and weighed to determine biomass,yield,yield components,and nitrogen uptake.This indicated that land reconstruction significantly affected rice yield and its components between the two sides of all field plots.SOC,TN,and their decomposition following land reconstruction showed notable changes,especially in the 15–30 cm subsurface soil layer.Additionally,grain weight demonstrated significant correlation with SOC,TN,and carbon decomposition in both the 0–15 and 15–30 cm layers,indicating that soil fertility to a depth of 30 cm was crucial for rice productivity after land reconstruction.展开更多
The deformation characteristics and thermal response of anchor rods are crucial for ensuring the stability and safety of surrounding rock support structures.However,existing research has predominantly concentrated on ...The deformation characteristics and thermal response of anchor rods are crucial for ensuring the stability and safety of surrounding rock support structures.However,existing research has predominantly concentrated on the mechanical performance of anchor rods,with limited attention to the coupled evolution of strain and temperature fields during tensile deformation.This knowledge gap hinders a comprehensive understanding of the synergistic mechanical-thermal response mechanisms in anchor rods under loading conditions.To address this limitation,the present study systematically investigated the evolution of strain and temperature fields,along with their correlation,during the test of micro-negative Poisson's ratio(NPR)and ordinary Poisson's ratio(PR)anchor rods.Digital image correlation(DIC)and infrared thermography(IRT)techniques were employed for this exploration.The uniaxial tensile tests were conducted at two different rates,and the ordinary PR anchor rod(Q235 anchor rod)was established as a control group for comparative analysis.The findings reveal that the micro-NPR anchor rod exhibit strain localization at multiple locations during the tensile process,whereas Q235 anchors show local strain concentration in only one region.The standard deviation evolution curves for both the strain and temperature field exhibit two distinct phases in the two anchor rods.The evolution patterns between these two types of curves are basically consistent.The two standard deviation curves for the micro-NPR anchor rod display a wavy increase in the second phase,while for the Q235 anchor rod,they increase steadily until the specimen is damaged.The correlation analysis reveals that the standard deviations of strain and temperature differences for both types of anchor rods are significantly correlated.These findings demonstrate the synergistic evolution mechanism of deformation and thermal response,providing a potential foundation for utilizing thermal monitoring to assess the stability of rock support structures.展开更多
Synthetic gauge fields provide an effective method to simulate pseudo-magnetic fields in photonic systems,facilitating the realization of condensed matter phenomena in optics.We experimentally investigate lasing behav...Synthetic gauge fields provide an effective method to simulate pseudo-magnetic fields in photonic systems,facilitating the realization of condensed matter phenomena in optics.We experimentally investigate lasing behaviors in photonic crystals subject to strain-induced synthetic gauge fields.Artificial strain generates giant pseudo-magnetic fields,leading to the formation of flat Landau levels in the photonic band structure.These flat bands possess extremely low group velocity and high density of states,resulting in enhanced light–matter interaction and favorable conditions for lasing.We successfully observed lasing from these Landau levels at room temperature,confirming the effectiveness of synthetic strain in controlling photonic band structures.Furthermore,we explore one-dimensional helical edge states that arise at the interface between two photonic crystals with opposite pseudo-magnetic fields.These edge states are analogous to those found in quantum Hall systems and exhibit robust,unidirectional propagation.In finite-size structures,reflections at the endpoints of the one-dimensional path lead to traveling wave resonances.We observed lasing from these resonant edge states.Our findings highlight the versatility of synthetic gauge fields in enabling tunable and robust lasing in photonic systems,opening new avenues for active topological photonic devices.展开更多
Berries are characterized by their high nutrient content and the presence of bioactive compounds.However,their thin skin and high moisture content render them highly susceptible to postharvest spoilage.Conventional pr...Berries are characterized by their high nutrient content and the presence of bioactive compounds.However,their thin skin and high moisture content render them highly susceptible to postharvest spoilage.Conventional processing methods can extend shelf life to a certain degree;however,they frequently result in nutrient loss,sensory quality deterioration,and increased energy consumption.In recent years,high-efficiency physical field technologies(such as acoustic field,electromagnetic fields,pressure field,and plasma)have provided new technological pathways for addressing the aforementioned challenges.The utilization of non-thermal or low-temperature processing characteristics enables the effective preservation of berry nutrients and flavor during critical stages,such as sterilization,drying,freezing,thawing,and refrigeration.Furthermore,these physical fields enhance processing efficiency,reduce energy consumption,and delay the deterioration of quality during storage.This paper systematically reviews the research progress in various physical fields of berry processing and quality enhancement,summarizing their fundamental concepts,mechanisms of action,and effects on berry quality across different processing stages,and discusses their prospects for industrial application in the food processing industry.展开更多
We have studied the harmonic spectra of hydrogen atoms subjected to different combined laser fields with increasing electrostatic fields,which are based on the numerical solutions of the time-dependent Schrödinge...We have studied the harmonic spectra of hydrogen atoms subjected to different combined laser fields with increasing electrostatic fields,which are based on the numerical solutions of the time-dependent Schrödinger equation.It is found that,as the electrostatic field increases,a hump structure in the below-threshold harmonic spectra will show up.The reasons are that the below-threshold harmonic generation is closely related to the excited states,and the probabilities of the excited states 2s and 2p evidently increase with the increasing electrostatic fields.展开更多
Bovine colostrum exhibits promising immunological properties,but the degradation of immunoglobulins during conventional thermal pasteurization limits its widespread use.Pulsed electric fields(PEF)processing,with its m...Bovine colostrum exhibits promising immunological properties,but the degradation of immunoglobulins during conventional thermal pasteurization limits its widespread use.Pulsed electric fields(PEF)processing,with its minimal thermal effect,is a promising alternative pasteurization technology.This study explored the potential of using PEF processing to inactivate bacteria in bovine colostrum.The effect of continuous flow PEF on the inactivation of naturally occurring bacteria in early(0-48 h lactation)and late(≤7 d lactation)stage colostrum was tested.Preheating to 45℃combined with PEF treatment(~13 kV/cm,229-239 kJ/L)resulted in a>5-log reduction in microbial numbers for both conditions.Next,the feasibility of using PEF to inactivate surrogate non-pathogenic organisms,Escherichia coli ATCC 25922 and Listeria innocua,was investigated.Following 40℃pre-heating and PEF treatment(11 kV/cm,209 kJ/L),a 5-log reduction was achieved,though L.innocua appeared less sensitive to PEF treatment.Finally,the effect of PEF on pathogenic bacteria was explored in batch mode,where samples were contained within cuvettes.Colostrum was inoculated with two cocktails of either three pathogenic E.coli or five L.monocytogenes strains.At a field strength of 8 kV/cm and pre-heating to 40℃,maximum specific energies of 184 and 175 kJ/kg resulted in 4-and 2.4-log reductions in E.coli and L.monocytogenes,respectively,further supporting the different sensitivities of bacteria to PEF treatment.Based on current knowledge,this is the first study to demonstrate the feasibility of PEF as an alternative pasteurization technology for colostrum.展开更多
基金supported by the National Natural Science Foundation of China(82160635)the Yunnan Health Training Project of High-Level Talents(L-2024020)the National Public Health Talent Cultivation Support Program.
摘要Dear Editor,The ongoing emergence of circulating recombinant forms(CRFs)of HIV-1 was recently reported among men who have sex with men(MSM)in China(Xiao et al.,2025;Xing et al.,2024).HIV-1’s global diversity is classified into four groups:M(Major,causing the pandemic),O(Outlier),N,and P.Group M,the most prevalent,is subdivided into subtypes(A-D,F-H and J-L).Recombinant viruses formed between subtypes are classified as either stable CRFs spreading in populations or unique recombinant forms(URFs).HIV-1 recombination significantly complicates HIV genetics and has the capacity to directly alter key viral properties.
基金Supported by National Natural Science Foundation of China (Grant No.52372377)Fundamental Research Funds for the Central Universities (Grant No.2020CDJ-LHZZ-041)+2 种基金Young Beijing Scholars Program (Grant No.2024-069)New Chongqing Youth Innovative Talent Project (Grant No.CSTB2024NSCQ-QCXMX0100)Chongqing Natural Science Foundation (Grant No.cstc2020jcyj-msxmX0956)。
摘要Reconstruction of autonomous driving scenarios plays a pivotal role in vehicle testing.In recent years,approaches based on Neural Radiance Fields(NeRF) and 3D Gaussian Splatting(3D GS) have opened new avenues for enhancing the performance of vehicle testing systems.This paper provides a systematic review of the latest research progress on NeRF and 3D GS in the context of autonomous driving scene reconstruction and explores their potential for future applications in the development of autonomous driving test systems.First,the paper briefly reviews the development trajectories of NeRF and 3D GS,presenting a concise timeline of representative works based on major databases such as Web of Science,IEEE Xplore,and arXiv,thereby offering essential background for the subsequent discussion.Next,the current state of research is comprehensively analyzed,with a particular focus on advancements in model architecture,scene editing,and the reconstruction of challenging autonomous driving scenarios.Finally,the paper outlines a research outlook on an integrated test system centered on NeRF or 3D GS,encompassing modules for large-scale dynamic scene reconstruction,autonomous scene editing,and perception-decision algorithms.This integrated framework aims to provide a valuable reference for building efficient and scalable testing platforms for autonomous driving.
基金supported by Science and Technology Cooperation and Exchange Special Project of Shanxi Province(202404041101038)National Natural Science Foundation of China(Grant Nos.52401103 and U25A201470)+3 种基金Key Scientific Research Project in Shanxi Province(Grant No.202302050201015)Central Guiding Science and Technology Development of Local Fund(Grant No.YDZJSK20231A046)the special fund for Science and Technology Innovation Teams of Shanxi Province(202204051001004)Shanxi Provincial Major Science and Technology Special Project(No.202501050202005).
摘要Most metallic materials used in oil and gas fields are exposed to complex corrosive environments,where the corrosion behavior is governed not by the simple additive effects of individual media but by their synergistic or antagonistic interactions.These multi-media interactions—such as CO2-Cl−,CO2-H2S,and CO2-O2-SO2combinations—can significantly accelerate localized corrosion,destabilize passive film,or alter interfacial electrochemical reactions,leading to severe material degradation and equipment failure.The dominant interaction mechanisms between typical corrosive species are systematically categorized,threshold concentrations that trigger corrosion mode transitions are identified,and their impact on passive film formation and breakdown is highlighted.Particular emphasis is placed on the evolution of corrosion product layers under combined environmental factors and their implications for long-term integrity of carbon steel pipelines.The findings aim to provide practical guidance for understanding emerging failure phenomena,optimizing corrosion monitoring strategies,and selecting targeted mitigation measures in complex oil and gas production environments.
基金supported by the National Natural Science Foundation of China(52474280,52104108)the Fundamental Research Funds for the Central Universities of Central South University(2025ZZTS0547).
摘要Microseismic(MS)monitoring is an efficacious technology for the detection and early warning of rock mass instability in deep mining operations.However,existing MS-based early warning methodologies,which primarily rely on singleparameter analysis or local clustering techniques,typically lack quantitative risk assessment capabilities.Inspired by the concept of a rock instability risk field,this study proposes a spatially continuous methodology for risk evaluation.Specifically,the Empirical Green’s Function(EGF)method is employed to estimate failure probabilities,while a Cloud Model is introduced to quantify potential severity.By integrating these components,a three-dimensional risk field function is formulated,using spatial coordinates as independent variables.Regional risk is then assessed through surface integral formulations,enabling a detailed characterization of its spatial distribution.The proposed methodology was applied to a lead-zinc mine in Northwest China.The calculated regional risk values demonstrate strong spatial consistency with energy density clusters identified using the DBSCAN algorithm.Quantitative comparisons reveal a significant positive correlation between the risk field outputs and independent MS event clusters,confirming the method’s efficacy in capturing the spatiotemporal concentration of instability potential.These findings indicate that representing rock instability risk as a continuous field enhances the regional interpretability of MS data and offers a quantitative foundation for dynamic hazard zonation in deep underground excavations.
基金supported by the Major Science and Technology Projects of Inner Mongolia Autonomous Region‘Open Bidding for Selecting the Best Candidates’(2024JBGS0009-01)the National Natural Science Foundation of China(42461011)the Key Research and Development Program of Gansu Province(25YFGA040).
摘要Railways in desert suffer from windblown sand hazards,in which the problems at bridge-road transitions are usually more serious.However,the evolution of wind-sand flow fields and the associated deposition-erosion patterns around bridge-road transitions under different wind directions remain limited.In this study,numerical simulations are employed to study the influence of wind angle on the flow field structure,wind profiles,horizontal wind speed distribution,and sand deposition-erosion behavior around the bridge-road transition.The results indicate that as the wind angle increases,the leeward vortex recirculation zone expands,the peak of the vertical wind speed profile increases,and the horizontal wind speed decreases.With respect to deposition-erosion patterns,the sand deposition length on the windward sides of both the bridge pier and the bridge-road transition decreases with increasing wind angle.In contrast,the deposition length on the leeward side increases.Specifically,when the wind angle increases from 60°to 90°,the windward deposition length at the bridge-road transition decreases from 1.99H to 1.49H(H,the clear height of bridge),while the leeward deposition expands from 0.70H to 13.28H.In addition,the bridge-road transition section serves as a channel for sand transport,promoting the migration of sand toward the subgrade.A smaller wind angle enhances the lateral guidance effect on the wind-sand flow,resulting in a greater sand deposition length on the leeward side of the subgrade.Therefore,the prevention and control of sand hazards in the bridge-road transition section should not be neglected.It is necessary to regularly remove accumulated sand to prevent its spread from the transition section to the subgrade,which could threaten traffic safety.
基金supported by the National Natural Science Foundation of China(Grant Nos.12374054,12074028,12022415,and 11974056)。
摘要We systematically studied the spin-lattice couplings in the CrF3monolayer.Our study reveals that the spin exchange constants between the nearest neighbors are notably affected by these couplings.Specifically,the couplings arise predominantly from three distinct phonon modes,namely the covariant,rotation,and stretch of the Cr-F-Cr-F rhombus.By integrating out the phonon degrees of freedom,we derived an effective spin Hamiltonian featuring four-spin product terms,which yields a remarkably intricate magnetic phase diagram.Significantly,numerous plateau states characterized by fractional magnetizations,including 1/2,1/3,2/3,1/4,1/5,5/8,1/9,2/9,and 3/11,emerge in the vicinity of the phase transition boundary separating ferromagnetic and antiferromagnetic states.These findings show the profound influence of spin-lattice couplings on magnetic properties near the magnetic phase boundaries.
基金supported by the National Natural Science Foundation of China(Grants No.42130202(CS),42564008(YJ))the National Key Research and Development Program of China(Grant No.2022YFA1604600(CS))+2 种基金supported by the Shenzhen Technology Project(Grant no.JCYJ20241202123905008)Ningxia Natural Science Foundation(No.2024AAC03080)the International Space Science Institute(ISSI)in Bern,through ISSI International Team project#556(Cross-scale energy transfer in space plasmas).
摘要How to transform an electromagnetic field across non-inertial frames of reference is a common challenge encountered in electromagnetic space measurements and analyses.Finding clear and precise ways to evaluate transformation formulas can be difficult.This study presents results of a thorough theoretical investigation that has yielded universal transformation formulas;these transformations are successfully applied to two specific scenarios.We find that,for space plasmas,if the relative velocities of structures are significantly lower than the speed of light,Galilean transformations are suitable.The transformations presented in this paper are applicable,in low speed situations,to electromagnetic fields,electric potentials and magnetic vector potentials,and to charge density and current density,measured in various non-inertial reference frames.Truncation errors associated with these simplified transformations are calculated and shown to be acceptable.These findings have broad implications for space physics measurements and analyses.We address two key issues related to non-inertial frame transformations:first,how to derive a general formula for the rotational electric potential of planets with intrinsic magnetic fields;second,how to verify rigorously the calculation of charge density from MMS(Magnetospheric Multiscale)electrostatic field measurements.We suggest that,due to the validity of the Coulomb gauge,the Poisson equation can be applied in situations of low-speed motion,allowing MMS measurement data to be used to calculate minimal-error charge density.
基金supported by the National Natural Science Foundation of China(U24A2044,52501276)the Fundamental Research Funds for the Central Universities(B250201106).
摘要Confronted with the inherent thermodynamic and kinetic challenges of Mg-based hydrogen storage materials(HSMs),research strategies have evolved from traditional alloying,nano-structuring,and catalytic modification toward a new dual-track paradigm that integrates machine learning(ML)-based rational design with non-thermal external field(NTEF)-assisted precision regulation.ML significantly accelerates the design and screening of novel HSMs through efficient performance prediction,key descriptor extraction,and microscopic mechanism elucidation,while NTEF provides a powerful experimental means for non-equilibrium synthesis,microstructure optimization,and de-/hydrogenation behavior control by leveraging its unique high energy efficiency and tunability.These two approaches complement each other and jointly advance Mg-based HSMs toward higher performance,lower cost,and superior cycling stability,thereby establishing a solid scientific and technological foundation for safe,efficient hydrogen storage and transportation as well as large-scale hydrogen-thermal coupled application.
摘要Non-equilibrium molecular dynamics simulations were conducted to study the growth and dissolution of a spherical methane hydrate crystallite,using a polarizable water potential,encircled by a liquid phase of saturated water and methane,both in the microwave to far-infrared range and under applied external electromagnetic(e/m)fields(5 GHz to 7.5 THz)at r.m.s.electric-field strengths of up to the order of 1 V·nm-1-in an attempt to assess and model the“threshold”field intensities required to initiate hydrate dissolution.The average growth rate of the crystallite in the absence of a field was found to be approximately 0.32 water and 0.045 methane molecules per picosecond.Upon applying e/m fields,deviations from zero-field crystal growth patterns were observed for r.m.s.field strengths,especially at~1 V·nm-1as a rough‘threshold'.When the water dipole was aligned with the external field,systematic frequency variations were observed,providing a mechanistic rationale for field-coupling effects on dipole direction/magnitude and hydrogen-bonding shifts.
基金The National Natural Science Foundation of China(No.62261032)the Central Government Guiding Funds for Local Scienceand Technology Development Program(No.25ZYJA026).
摘要Current image inpainting models are primarily designed to achieve a large receptive field(RF)using refinement networks to incorporate different scales.However,these models fail to adapt the use of different RFs to the specific patterns of image damage,resulting in artifacts and semantic information confusion in repaired images.To address the problems of artifacts and semantic information confusion,inspired by different sensitivities of different RFs to inpainting the same image damaged patterns,this study proposes an image inpainting method based on multiple receptive fields(MRFs)and dynamic matching of damaged patterns.First,the parallel filter banks are used to extract the MRF feature groups.Second,the features are dynamically weighted and screened,guided by the mask image,to construct a relationship that adaptively matches the most relevant RF to each specific damaged pattern.A fast Fourier convolution based decoder is used to enhance the fusion of global contextual features during the reconstruction of high dimensional features into low dimensional images.Comparative experimental results show that the proposed method achieves better subjective and objective inpainting results on three public datasets:Paris StreetView,CelebA-HQ,and Places2.
基金supported by the Doctoral Research Funds for Nanchang HangKong University,China(Grant No.EA202411211)support is gratefully acknowledged.
摘要This paper introduces a framework for modeling random fields,with a particular emphasis on analyzing anisotropic spatial variability.It establishes a clear connection between the correlation function and the Kriging variogram across various anisotropic modes,providing mathematical models to enhance our understanding of random fields.A new anisotropy index,called LSAI,is introduced to quantify anisotropy based on the autocorrelation length and the orientation of the principal axes within the variogram.An LSAI value closer to one indicates a lower degree of anisotropy.The present study examines how the degree of anisotropy varies with different autocorrelation lengths and angles between the principal axes,providing valuable insights into these relationships.To improve the accuracy of parameter probability distribution estimations,this study integrates limited field test data using a Bayesian inference approach.Additionally,the Markov chain Monte Carlo simulation method is employed to develop a conditional random field(CRF)for the deformation modulus.By incorporating data from field bearing plate tests,the posterior variance data for the deformation modulus are derived.This process facilitates the construction of a detailed and reliable CRF for the deformation modulus.
基金supported by the Excellence Research Group Program(ERGP,the former Basic Science Center Program)(Grant No.52488101)the National Science and Technology Major Project(Grant No.J2019-III-0003-0046)the cloud computing supported by the Beijing Super Cloud Computing Center.Meanwhile,the current work is also supported by the Taishan Scholars Program.
摘要High-fidelity field reconstruction has been a focal point for many research studies,as the measured sensor data are often sparse and incomplete in both time and space.Physics-informed neural networks(PINNs)have been proposed to reconstruct fields using imperfect data,as they incorporate physical principles and thereby reduce reliance on the known sensor data.However,the placement of sensors remains crucial for optimizing PINNs,and existing studies have not sufficiently considered this aspect.Therefore,developing algorithms that intelligently improve sensor placement is of significant importance.In this study,we introduce a general approach that employs differentiable programming with attention modules to optimize sensor placement during the training of a PINNs model in order to improve field reconstruction.We evaluate our method using three distinct cases:the Allen-Cahn equation problem,the lid-driven cavity flow problem,and the cylinder flow problem to demonstrate our approach effectiveness in flow field inference,system identification,and its capability for multi-condition generalization.The results indicate that our method improves test scores and effectively learns the optimal layout of sensors for various Reynolds numbers,which advances our understanding of the relationship between sensor placement and reconstruction precision using PINNs.
基金support of the Japanese Government(Monbukagakusho)Scholarship for his studies in Japansupported by the Yamagata University YU-COE(S)program and by the Advanced Agri-food System Research Center of Yamagata University,Japan+2 种基金financially supported by a Japan Society for the Promotion of Science(JSPS)Grant-in-Aid for Scientific Research(26310304)Yamagata University YU-COE(S)programby the Advanced Agri-food System Research Center of Yamagata University,Japan。
摘要To examine the impact of anthropogenic land reconstruction,particularly the consolidation of small terraces into larger fields,on soil organic carbon(SOC),total nitrogen(TN)dynamics,rice yield,and its components,soil and plant samples were collected from seven newly reconstructed fields in Japanese Andosols in Tochigi,Japan.Samples were obtained from both the former low-and high-elevation sides within each field plot.During harvest season,nine rice plants were randomly selected from each plot(0.675 m2,comprising 3 rows and 3 hills per row),collected from a 3-m stretch along both the east(former low side)and west(former high side)ridges.Soil cores were collected from identical plots at two depths(0–15 and 15–30 cm)and combined into one composite sample per layer.Rice plant samples were air-dried for two weeks until reaching constant moisture content,after which stems and ears were separated and weighed to determine biomass,yield,yield components,and nitrogen uptake.This indicated that land reconstruction significantly affected rice yield and its components between the two sides of all field plots.SOC,TN,and their decomposition following land reconstruction showed notable changes,especially in the 15–30 cm subsurface soil layer.Additionally,grain weight demonstrated significant correlation with SOC,TN,and carbon decomposition in both the 0–15 and 15–30 cm layers,indicating that soil fertility to a depth of 30 cm was crucial for rice productivity after land reconstruction.
基金supported by State Key Laboratory for Geomechanics and Deep Underground Engineering,China University of Mining&Technology,Beijing(Grant No.SKLGDUEK2120)。
摘要The deformation characteristics and thermal response of anchor rods are crucial for ensuring the stability and safety of surrounding rock support structures.However,existing research has predominantly concentrated on the mechanical performance of anchor rods,with limited attention to the coupled evolution of strain and temperature fields during tensile deformation.This knowledge gap hinders a comprehensive understanding of the synergistic mechanical-thermal response mechanisms in anchor rods under loading conditions.To address this limitation,the present study systematically investigated the evolution of strain and temperature fields,along with their correlation,during the test of micro-negative Poisson's ratio(NPR)and ordinary Poisson's ratio(PR)anchor rods.Digital image correlation(DIC)and infrared thermography(IRT)techniques were employed for this exploration.The uniaxial tensile tests were conducted at two different rates,and the ordinary PR anchor rod(Q235 anchor rod)was established as a control group for comparative analysis.The findings reveal that the micro-NPR anchor rod exhibit strain localization at multiple locations during the tensile process,whereas Q235 anchors show local strain concentration in only one region.The standard deviation evolution curves for both the strain and temperature field exhibit two distinct phases in the two anchor rods.The evolution patterns between these two types of curves are basically consistent.The two standard deviation curves for the micro-NPR anchor rod display a wavy increase in the second phase,while for the Q235 anchor rod,they increase steadily until the specimen is damaged.The correlation analysis reveals that the standard deviations of strain and temperature differences for both types of anchor rods are significantly correlated.These findings demonstrate the synergistic evolution mechanism of deformation and thermal response,providing a potential foundation for utilizing thermal monitoring to assess the stability of rock support structures.
摘要Synthetic gauge fields provide an effective method to simulate pseudo-magnetic fields in photonic systems,facilitating the realization of condensed matter phenomena in optics.We experimentally investigate lasing behaviors in photonic crystals subject to strain-induced synthetic gauge fields.Artificial strain generates giant pseudo-magnetic fields,leading to the formation of flat Landau levels in the photonic band structure.These flat bands possess extremely low group velocity and high density of states,resulting in enhanced light–matter interaction and favorable conditions for lasing.We successfully observed lasing from these Landau levels at room temperature,confirming the effectiveness of synthetic strain in controlling photonic band structures.Furthermore,we explore one-dimensional helical edge states that arise at the interface between two photonic crystals with opposite pseudo-magnetic fields.These edge states are analogous to those found in quantum Hall systems and exhibit robust,unidirectional propagation.In finite-size structures,reflections at the endpoints of the one-dimensional path lead to traveling wave resonances.We observed lasing from these resonant edge states.Our findings highlight the versatility of synthetic gauge fields in enabling tunable and robust lasing in photonic systems,opening new avenues for active topological photonic devices.
基金supported by the China Postdoctoral Science Foundation(Grant No.2023M732394,2023M732393)the Key Research and Development Program of the Department of Science and Technology of Liaoning Province(Grant No.2024JH2/102500063).
摘要Berries are characterized by their high nutrient content and the presence of bioactive compounds.However,their thin skin and high moisture content render them highly susceptible to postharvest spoilage.Conventional processing methods can extend shelf life to a certain degree;however,they frequently result in nutrient loss,sensory quality deterioration,and increased energy consumption.In recent years,high-efficiency physical field technologies(such as acoustic field,electromagnetic fields,pressure field,and plasma)have provided new technological pathways for addressing the aforementioned challenges.The utilization of non-thermal or low-temperature processing characteristics enables the effective preservation of berry nutrients and flavor during critical stages,such as sterilization,drying,freezing,thawing,and refrigeration.Furthermore,these physical fields enhance processing efficiency,reduce energy consumption,and delay the deterioration of quality during storage.This paper systematically reviews the research progress in various physical fields of berry processing and quality enhancement,summarizing their fundamental concepts,mechanisms of action,and effects on berry quality across different processing stages,and discusses their prospects for industrial application in the food processing industry.
基金supported by the Natural Science Foundation of Guangdong Province(Grant Nos.2025A1515010887,2026A1515011229,and 2025A1515011278)Li Ka Shing Foundation STU-GTIIT Joint Research Grants(Grant No.2024LKSFG02)+3 种基金Department of Education of Guangdong Province(Grant No.2024ZDZX1020)the STU Scientific Research Foundation for Talents(Grants Nos.NTF22026,NTF23011,NTF23014,and NTF23036T)the National Natural Science Foundation of China(Grant No.12450402)Quantum Science and Technology-National Science and Technology Major Project(Grant No.2021ZD0302101)。
摘要We have studied the harmonic spectra of hydrogen atoms subjected to different combined laser fields with increasing electrostatic fields,which are based on the numerical solutions of the time-dependent Schrödinger equation.It is found that,as the electrostatic field increases,a hump structure in the below-threshold harmonic spectra will show up.The reasons are that the below-threshold harmonic generation is closely related to the excited states,and the probabilities of the excited states 2s and 2p evidently increase with the increasing electrostatic fields.
摘要Bovine colostrum exhibits promising immunological properties,but the degradation of immunoglobulins during conventional thermal pasteurization limits its widespread use.Pulsed electric fields(PEF)processing,with its minimal thermal effect,is a promising alternative pasteurization technology.This study explored the potential of using PEF processing to inactivate bacteria in bovine colostrum.The effect of continuous flow PEF on the inactivation of naturally occurring bacteria in early(0-48 h lactation)and late(≤7 d lactation)stage colostrum was tested.Preheating to 45℃combined with PEF treatment(~13 kV/cm,229-239 kJ/L)resulted in a>5-log reduction in microbial numbers for both conditions.Next,the feasibility of using PEF to inactivate surrogate non-pathogenic organisms,Escherichia coli ATCC 25922 and Listeria innocua,was investigated.Following 40℃pre-heating and PEF treatment(11 kV/cm,209 kJ/L),a 5-log reduction was achieved,though L.innocua appeared less sensitive to PEF treatment.Finally,the effect of PEF on pathogenic bacteria was explored in batch mode,where samples were contained within cuvettes.Colostrum was inoculated with two cocktails of either three pathogenic E.coli or five L.monocytogenes strains.At a field strength of 8 kV/cm and pre-heating to 40℃,maximum specific energies of 184 and 175 kJ/kg resulted in 4-and 2.4-log reductions in E.coli and L.monocytogenes,respectively,further supporting the different sensitivities of bacteria to PEF treatment.Based on current knowledge,this is the first study to demonstrate the feasibility of PEF as an alternative pasteurization technology for colostrum.