The high surface reflectivity of metallic materials and their narrow range of electromagnetic wave absorption(primarily in the visible spectrum) severely limit their practical applications in defense,energy conversion...The high surface reflectivity of metallic materials and their narrow range of electromagnetic wave absorption(primarily in the visible spectrum) severely limit their practical applications in defense,energy conversion,and communication.Therefore,creating surface structures with anti-reflective properties on metallic materials can effectively reduce surface reflectivity and broaden the frequency bandwidth of electromagnetic wave absorption,a goal highly valued by scholars both domestically and internationally.In this study,we investigated the effect of femtosecond-laser process parameters(pulse frequency,processing power,scanning speed,processing time,and focal length) on the dimensional parameters and surface morphology of groove and circular hole structures using a single-factor approach.By varying the femtosecond-laser process parameters,we produced groove and circular hole specimens with different width/diameter-to-depth ratios.The results indicated that with increases in femtosecond-laser pulse frequency,processing power,scanning speed,and processing time,the width and depth of the grooves and circular holes increased to varying extents.We characterized the anti-reflective properties of the textured surfaces to elucidate the mechanism by which the width/diameter-to-depth ratio of the textured structures affects the anti-reflective properties of metal surfaces.The results show that the transverse dimensions and depths of the groove and hole structures increased linearly with increases in femtosecond-laser processing power and the number of processing cycles.The average reflectance of the structures increased from 15.15% to31.84% when the ratio of structural width(diameter) to depth ranged between 0.43 and 1.The average reflectance of the structures,calculated to be consistent with actual results,ranged from 12.13% to 36.37%.The findings demonstrate that the width/diameter-to-depth ratio of the structure is a crucial index for assessing antireflective performance.展开更多
We propose a robust self-triggered switching control scheme for four-wheel-steering autonomous ground vehicles(FAGVs)to enhance tracking precision in the face of significant parameter variations.First,using the polyto...We propose a robust self-triggered switching control scheme for four-wheel-steering autonomous ground vehicles(FAGVs)to enhance tracking precision in the face of significant parameter variations.First,using the polytopic mechanism,the nonlinear dynamics of an FAGV are formulated as a switched linear parameter-varying system to accommodate parametric perturbations.With suitable dwell time,a novel self-triggered switching law is designed using energy density in terms of the tracking accuracy and system robustness;this satisfies the required control criteria while also preventing the Zeno phenomenon caused by traditional high-frequency switching.Through the application of multiple parameter-correlated Lyapunov functions,the resultant closed-loop system is ensured to be asymptotically stable with suitable auto-tuned gains.Finally,the efficacy and superiority of the proposed method are verified through experiments with an FAGV system.展开更多
This research examines the optimization of motion strategy and control parameters for an Autonomous Underwater Glider(AUG)navigating between two points.For scenarios with specified initial position,target position,and...This research examines the optimization of motion strategy and control parameters for an Autonomous Underwater Glider(AUG)navigating between two points.For scenarios with specified initial position,target position,and heading,this study proposes a three-dimensional multimodal path planning methodology based on the 3D-Dubins path,ensuring both task fulfillment and motion feasibility within AUG dynamics constraints.The path planning approach incorporates ocean current interference and utilizes task objectives and control parameters as inputs.It systematically calculates information including horizontal Dubins type,vertical plane motion modes,and turning point depths to generate the path planning solution.The motion control strategy implements initial control parameter values and utilizes depth measurements as evaluation criteria.Through control parameter adjustments,the strategy facilitates tracking of the designated path.This control approach requires minimal feedback information,with computations executable by shore-based facilities,thereby reducing computational and measurement demands on the AUG and enhancing operational reliability.For specified task objectives,multi-objective optimization of control parameters is conducted using the proposed path planning method and motion control strategy,yielding optimized control parameters and corresponding motion control strategies for various operational requirements.展开更多
Deep coal mining rock support structures using rock bolts face complex geological conditions such as high ground temperatures and groundwater.Rock mass deformation and failure caused by bolt failure frequently occur,m...Deep coal mining rock support structures using rock bolts face complex geological conditions such as high ground temperatures and groundwater.Rock mass deformation and failure caused by bolt failure frequently occur,making it crucial to enhance the anchoring performance of rock bolts.First,the stress state of the anchor rod under axial loading across five stages of any anchored segment is analyzed.The shear stress patterns at the anchoring interface during different stages are elucidated.A refined mechanical model of the anchoring interface incorporating surface rib parameters is established.A failure criterion for the anchoring interface under the influence of ground temperature or groundwater is derived and validated.Second,the influence of anchor rib parameters on anchoring force is abalyzed,and in-situ shear tests are conducted.Results indicate that increasing the rib angle and optimizing rib spacing can enhance anchoring force.To minimize the shear component of axial force at the anchor interface,the rib angle of the anchor bolt should not be less than 70°.When the anchor grout possesses high inherent strength,the spacing between ribs on the anchor bolt surface may be increased(to 24 mm or greater).Finally,methods for enhancing the anchoring performance of bolts in deep complex strata are proposed,providing technical references for the safe and efficient support of tunnel rock masses in similar geological conditions.展开更多
As binary geological media,soil-rock mixtures(SRMs)exhibit a distinct gradational composition,leading to their unique mechanical behaviors.To appraise the stability of SRM slopes,it is essential to determine equivalen...As binary geological media,soil-rock mixtures(SRMs)exhibit a distinct gradational composition,leading to their unique mechanical behaviors.To appraise the stability of SRM slopes,it is essential to determine equivalent parameters of SRMs,which are typically obtained through experimental and numerical methods.In contrasted to other numerical methods,the numerical manifold method(NMM)is more effective in addressing SRM problems.This is because the high-precision regular mathematical meshes in NMM can be used without aligning with the soil-rock interfaces and boundaries of SRMs.In the current research,the equivalent strength parameters of SRMs,i.e.the equivalent cohesion ce and internal friction angleϕe,are determined using NMM.Initially,an NMM triaxial numerical model is established and validated based on triaxial experiments.Subsequently,the soil and rock parameters are derived through parameter inversion.Moreover,the impacts of rock content,size,shape and rock blocks'major-axis orientation on ce andϕe of SRMs are thoroughly examined using the NMM triaxial numerical model.Additionally,a fitting function is proposed to linkϕe to the rock content and size of SRMs.When other influencing factors are fixed,the above fitting model leads to the following conclusions:(1)the predictedϕe of SRMs increase with the increase of rock content;and(2)SRM samples with smaller rocks display a higher predictedϕe.展开更多
The S38C railway axle undergoes induction hardening,resulting in a gradient-distributed microstructure and mechanical properties.The accurate identification of gradient-distributed plastic parameters for the S38C axle...The S38C railway axle undergoes induction hardening,resulting in a gradient-distributed microstructure and mechanical properties.The accurate identification of gradient-distributed plastic parameters for the S38C axle remains a challenging task.To tackle this challenge,the present study proposes a novel approach for identifying the gradient-distributed plastic parameters for the S38C axle by integrating nano-indentation techniques with the machine learning method.Firstly,nano-indentation tests are conducted along the radial direction of the S38C axle to obtain the gradient-distributed load-displacement curves,nano-hardness,and elastic modulus.Subsequently,the dimensionless analysis is performed to obtain the representative stress,strain,and yield stress from load-displacement curves.These parameters are then incorporated into the machine learning method as physical information to identify the gradient-distributed plastic parameters of the S38C axle.The results indicate that the proposed method based on the physics-informed neural network and multi-fidelity neural network successfully identifies the gradient-distributed plastic parameters of the S38C axles and demonstrates superior prediction accuracy and generalization compared with the purely data-driven machine learning method.展开更多
Lightning poses significant risks to infrastructure and safety.Existing forecasting models depend on LPI data but often ignore the impact of atmospheric parameters on lightning.These methods are simple and fail to pre...Lightning poses significant risks to infrastructure and safety.Existing forecasting models depend on LPI data but often ignore the impact of atmospheric parameters on lightning.These methods are simple and fail to predict complex lightning events effectively.This paper introduces a lightning forecasting model,CLKA-LPO,which uses physical parameters and a CNN-LSTM-KAN architecture to enhance prediction accuracy.The model adopts a CNN-LSTM-KAN architecture,integrating KANs(Kolmogorov–Arnold Networks)to replace traditional convolutional neural networks,and improve its ability to generalize,thus accurately forecasting lightning in given areas.The paper uses t-tests and Pearson correlation to assess the significance of correlation coefficients for 103 meteorological parameters,identifying 16 key predictors.Then,a machine learning–based thunderstorm forecasting model is developed to monitor lightning activity.To analyze the relationship between 103 parameters and the lightning flash rate,19 key physical parameters are selected.A deep learning model,CLKA-LPO,is then used to forecast ground and total lightning flashes.Evaluations show the CLKA-LPO model enhances the ground lightning prediction accuracy by 30%and total lightning prediction by 20%over traditional models like CNN,LSTM,Transformer,and CNN-LSTM.The CLKA-LPO model effectively correlates physical parameters with lightning events,offering precise forecasts for both ground and total lightning flashes,ensuring dependable lightning forecasts.展开更多
The quantity and quality of plankton are generally affected by the characteristics of the water,and water environmental conditions are also considered key factors affecting the growth of hydrobionts.Consequently,an in...The quantity and quality of plankton are generally affected by the characteristics of the water,and water environmental conditions are also considered key factors affecting the growth of hydrobionts.Consequently,an investigation was conducted into the environmental parameters,and the characteristics of plankton in the sampling sites of Mazuao,Sanggou Bay,and Guazichang,as well as their impact on the growth parameters of oysters.The results indicated that the average water temperature in the Mazuao area was higher than that in Sanggou Bay and Guazichang,while the salinity was lower.The dissolved oxygen and pH values in all three areas met the criteria for mariculture water quality.The diversity and abundance of plankton exhibited seasonal variations,with the total abundance being higher in June(summer)and reaching the minimum in December(winter)in all three sea areas.The phytoplankton species composition in the three aquaculture areas was of the‘Diatom-Pyrrophyta'type,and diatoms dominate in plankton.Redundancy analysis(RDA)showed that plankton abundance has the highest correlation with water temperature,salinity,dissolved oxygen and pH.Notably,the Mazuao area had the highest average total abundance of phytoplankton throughout the year.Overall,oysters could obtain better growth advantages in the Mazuao area.RDA indicated that water temperature and plankton abundance in the Mazuao area were dominant factors affecting the growth parameters of oysters.Understanding these relationships is crucial for effective coastal ecosystem management and ensuring the long-term sustainability of aquaculture industries.展开更多
The effect of fluoride ions on the coordination properties and kinetic parameters of vanadium ions in molten salts was investigated.The competitive coordination process of V(Ⅲ)with Cl−and F−and its mechanism were inv...The effect of fluoride ions on the coordination properties and kinetic parameters of vanadium ions in molten salts was investigated.The competitive coordination process of V(Ⅲ)with Cl−and F−and its mechanism were investigated by combining electrochemical and spectroscopic techniques and ab initio molecular dynamics(AIMD)simulations.The electrochemical behavior of V(Ⅲ)in melt LiCl-KCl-KF with various F/V molar ratios was studied by cyclic voltammetry,square wave voltammetry and open circuit potentiometry at 823 K.The morphology of V(Ⅲ)in the molten salt was observed by Raman spectroscopy.Combining mathematical calculations and AIMD simulations,it is concluded that VCl4F23−is the most stable complex in the melt at 823 K.In addition,the diffusion coefficients of V(Ⅲ)were calculated to be between 6.79×10−5cm/s and 2.68×10−4cm/s under various contents of KF.The kinetic mechanism of V(Ⅲ)was studied by electrochemical impedance spectroscopy and the exchange current density i0=1.27−2.89 A/cm2,and the reaction rate constant k0=1.69×10−6−3.84×10−6cm/s.This work aims to provide a theoretical basis for the mechanistic study and process optimization of vanadium electrolysis from molten salts.展开更多
Sickle cell disease(SCD)is one of the most common hereditary diseases in the world.It leads to hemolytic anemia and painful vaso-occlusive crises that can damage target organs at the cardiopulmonary,cerebrovascular,an...Sickle cell disease(SCD)is one of the most common hereditary diseases in the world.It leads to hemolytic anemia and painful vaso-occlusive crises that can damage target organs at the cardiopulmonary,cerebrovascular,and renal levels.SCD has also significant consequences on reproductive functions and fertility.Moreover,the treatments designed to alleviate and reduce vaso-occlusive crises directly impact male reproductive functions.Nevertheless,literature assessing the impact of SCD and its treatments on male reproductive functions remains limited and lacks robust evidence.A systematic review of the literature following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses(PRISMA)recommendation was carried out on the reproductive functions of men with SCD and the reproductive options available to them.Most studies have found that men with SCD frequently exhibit impaired sperm parameters.In addition,hydroxyurea(HU),proposed to relieve and reduce vaso-occlusive crises,is also known to impact male reproductive functions,and the reversibility of these consequences on sperm parameters remains hypothetical.Hematopoietic stem cell transplantation(HSCT)is currently the only curative treatment.However,conditioning treatments are highly gonadotoxic and can permanently alter spermatogenesis.Young men with SCD should therefore be informed about fertility at an early stage,and fertility preservation should be discussed in pubescent men,especially if treatment with HU or HSCT is to be initiated.In prepubertal boys about to undergo HSCT,immature testicular tissue freezing should be discussed,even though this technique is still experimental.展开更多
Stepped slopes are common in mountainous regions and are characterized by pronounced benches and risers,which generate strong occlusions during ground-based image acquisition and limit the accuracy of Structure-from-M...Stepped slopes are common in mountainous regions and are characterized by pronounced benches and risers,which generate strong occlusions during ground-based image acquisition and limit the accuracy of Structure-from-Motion(SfM)-based 3D reconstruction of surface deformation features.Despite the increasing application of SfM in slope monitoring,practical guidelines for optimizing ground-based camera deployment on stepped terrains remain limited.To address this gap,this study investigates the effects of ground-based camera deployment parameters on SfM reconstruction accuracy through geometrically scaled physical modeling and field validation.A 1:10 physical model of a rainfall-induced stepped slope was constructed to reproduce representative surface cracking patterns,with rainfall applied solely to induce deformation rather than treated as an experimental variable.Camera height,layout type,inter-camera angular interval,and camera number were systematically varied under controlled single-elevation configurations.Reconstruction accuracy was evaluated using the mean relative error between manually measured and SfM-derived crack widths.The results show that deployment geometry strongly governs reconstruction performance.A camera height of approximately one-third of slope height provides a favorable balance between spatial resolution and coverage.Compared with conventional horizontal layouts,fan-shaped configurations significantly reduce occlusion effects and improve crack-width measurement accuracy.Increasing the number of cameras generally reduces reconstruction error,but the improvement becomes marginal beyond four to five cameras under single-elevation deployment conditions.Under the optimal configuration,the physical model achieved a minimum mean relative error of 4.3%,while the field application at a prototype stepped slope yielded a mean relative error of 12.2%,which is acceptable for routine engineering monitoring.These findings provide practical and cost-effective guidance for ground-based SfM monitoring of deformation on stepped slopes in mountainous terrain.展开更多
Compared with conventional cataplasms,those incorporating a cross-linked network structure significantly enhance their mechanical strength and cohesion,endowing them with good formability and adhesion properties,solvi...Compared with conventional cataplasms,those incorporating a cross-linked network structure significantly enhance their mechanical strength and cohesion,endowing them with good formability and adhesion properties,solving problems such as cold flow and slippage,thereby greatly increasing the convenience of use.However,systematic studies investigating the structural profiling of cross-linked networks in cataplasms remain scarce,limiting a comprehensive understanding of their functional significance.Therefore,we developed a systematic methodology to characterize emulsion-type cataplasms(as a model formulation)with cross-linked network structures,classifying their key structural parameters into four levels.The primary structures defined formability and adhesion,ensuring intact and durable skin adhesion.The secondary structure was intermediates formed by the drug and oily components.The tertiary structure was a dynamic structure,evaluating the quality changes of cataplasms during processes such as crosslinking and storage.The quaternary structure was a molecular structure,representing the mechanism by which the cross-linked network structure was formed.The factors influencing structural parameters and the laws between the intrinsic structures were investigated.Furthermore,we established threshold values for the primary structures,indicating when cataplasms possess optimal formability.This study offers new insights for cataplasm design and provides valuable references for industrial development.展开更多
The Indian,Arabian and Eurasian continental plate collision zones are tectonically active regions on Earth,characterized by intense seismicity and complex faulting patterns.In this study,teleseismic body-waveform inve...The Indian,Arabian and Eurasian continental plate collision zones are tectonically active regions on Earth,characterized by intense seismicity and complex faulting patterns.In this study,teleseismic body-waveform inversion is applied to determine source parameters of 98 moderate to large earthquakes distributed across the Indian and Eurasian(IE)plates collision zone,the Arabian and Eurasian(AE)plates collision zone,and the transitional Makran accretionary wedge.The IE collision,initiated during the Paleocene-Eocene following closure of the Neo-Tethys Ocean,and the younger AE collision,active since the Early Miocene,exhibit contrasting tectonic styles.Earthquakes in both collision zones are dominated by reverse faulting within the upper and middle crust.However,the average dip of north-dipping thrust faults in the AE zone(~35°)is much steeper than that in the IE zone(~15°),indicating differences in lithospheric structure and mechanical coupling during continental convergence.In contrast,the Makran transition zone exhibits a mixture of reverse,strike-slip,and normal faulting mechanisms,with seismicity extending to depths of~70 km,reflecting deformation within the subducting Arabian slab and complex stress partitioning within the accretionary wedge.These results provide improved regional constraints on earthquake depth distributions and faulting styles,offering new insights into tectonic processes and seismic hazard potential across collision subduction transition systems.展开更多
To address the zero-sample challenge in preparation parameter design for newly developed alloys,a novel machine learning strategy that integrates basic dataset construction with Bayesian optimization,was proposed.The ...To address the zero-sample challenge in preparation parameter design for newly developed alloys,a novel machine learning strategy that integrates basic dataset construction with Bayesian optimization,was proposed.The impact of basic sample dataset construction methods,optimization benchmarks and multi-objective utility functions on Bayesian optimization was investigated.It was found that the combination of orthogonal design,linear benchmark,and shifted multiplicative utility function exhibits the best optimization performance.The strategy was then applied to a new Cu-Ni-Co-Si alloy with ultra-low Co content(0.7 wt.%Co),previously designed by our research team.Rapid optimization of six preparation parameters in the two-stage deformation and aging process of the zero-sample alloy was achieved through only 23 experiments.The measured ultimate tensile strength and electrical conductivity of the new alloy were 878 MPa and 44.0%(IACS),respectively,reaching the comprehensive performance level of the Cu-Ni-Co-Si alloy(C70350 alloy)containing 1.0-2.0 wt.%Co.展开更多
Hepatocellular carcinoma presents with three distinct immune phenotypes,including immune-desert,immune-excluded,and immune-inflamed,indicating various treatment responses and prognostic outcomes.The clinical applicati...Hepatocellular carcinoma presents with three distinct immune phenotypes,including immune-desert,immune-excluded,and immune-inflamed,indicating various treatment responses and prognostic outcomes.The clinical application of multi-omics parameters is still restricted by the expensive and less accessible assays,although they accurately reflect immune status.A comprehensive evaluation framework based on“easy-to-obtain”multi-model clinical parameters is urgently required,incorporating clinical features to establish baseline patient profiles and disease staging;routine blood tests assessing systemic metabolic and functional status;immune cell subsets quantifying subcluster dynamics;imaging features delineating tumor morphology,spatial configuration,and perilesional anatomical relationships;immunohistochemical markers positioning qualitative and quantitative detection of tumor antigens from the cellular and molecular level.This integrated phenomic approach aims to improve prognostic stratification and clinical decision-making in hepatocellular carcinoma management conveniently and practically.展开更多
A data-driven model predictive control(MPC)algorithm based on the input-mapping method is proposed for piecewise affine(PWA)systems.These systems are characterized by unknown but constant parameters and are subject to...A data-driven model predictive control(MPC)algorithm based on the input-mapping method is proposed for piecewise affine(PWA)systems.These systems are characterized by unknown but constant parameters and are subject to disturbances,as well as state and input constraints.To support the control strategy,an offline algorithm is developed to compute a non-convex robust positively invariant set that serves as the terminal set within the MPC framework tailored for PWA systems.The online MPC algorithm directly maps the future control input and predicted state to the historical input-state data associated with the corresponding state subregion.This mapping process leverages the more accurate relationships contained in the historical input-state data to enhance the prediction accuracy of future states.A state-dependent weight embedded in the cost function enables the controller to balance prediction accuracy against convergence speed,enhancing overall performance.Moreover,conditions ensuring the recursive feasibility of the optimization problem and stability of the closed-loop system are established.The effectiveness of the proposed algorithm is demonstrated through a numerical example,which highlights its ability to handle complex system dynamics and constraints while maintaining robust performance.展开更多
Hematological parameters are important markers that can provide insight into the pathogenesis and progression of pancreatic cancer(PC).According to the literature,there are many hematological parameters in the pathoge...Hematological parameters are important markers that can provide insight into the pathogenesis and progression of pancreatic cancer(PC).According to the literature,there are many hematological parameters in the pathogenesis of PC.However,this review article only summarized a few parameters,such as red blood cells,red cell distribution width,mean corpuscular volume,mean corpuscular haemoglobin concentration,platelets,mean platelet volume(MPV),white blood cells and its types such as neutrophils,lymphocytes,monocytes,eosinophils and basophils,ratios including neutrophil-to-lymphocyte ratio,monocyte to lymphocyte ratio,and platelet to lymphocyte ratio,lymphocyte-to-monocyte ratio,MPV/platelet count ratio,neutrophil-to-monocyte ratio and platelet-to-white blood cell ratio,MPV/platelet ratio in PC.Red cell volume distribution width could be an independent risk factor for PC.For patients with resectable neoadjuvant-treated pancreatic ductal adenocarcinoma,high mean corpuscular volume is an independent unfavourable prognostic factor.Low mean corpuscular haemoglobin concentration was positively correlated with overall survival in resectable PC,which could be used to predict the prognosis.Platelets have been identified as important participants in cancer,thrombosis,and hemo-stasis.Usually,thrombosis is caused by pancreatic tumors that speed up platelet aggregation.Extracellular vesicles that platelets produce also facilitate communication within a neoplastic milieu and demonstrate how these interactions propel the progression of diseases.The development and outcome of PC are significantly influenced by neutrophil infiltration.Through a variety of processes,such as angiogenesis,immune suppression,immune evasion,and epithelial-mesenchymal transition,neutrophils aid in the liver metastasis of PC.The primary immunologic alteration in advanced PC is the decrease in blood total lymphocytes.It suggested monocytes as a new prognostic indicator.展开更多
Presented in this study is a novel method for estimating the depth of single underwater source in shallow water,utilizing vector sensors.The approach leverages the depth distribution of the broadband Stokes parameters...Presented in this study is a novel method for estimating the depth of single underwater source in shallow water,utilizing vector sensors.The approach leverages the depth distribution of the broadband Stokes parameters to estimate source depth accurately.Unlike traditional matched field processing(MFP)and matched mode processing(MMP),the proposed approach can estimate source depth directly from the data received by sensors without requiring complete environmental information.Firstly,the broadband Stokes parameters(BSP)are established using the normal mode theory.Then the nonstationary phase approximation is used to simplify the theoretical derivation,which is necessary when dealing with broadband integrals.Additionally,range terms of the BSP are eliminated by normalization.By analyzing the depth distribution of the normalized broadband Stokes parameters(NBSP),it is found that the NBSP exhibit extreme values at the source depth,which can be used for source depth estimation.So the proposed depth estimation method is based on searching the peaks of the NBSP.Simulations show that this method is effective in relatively simple shallow water environments.Finally,the effect of source range,frequency bandwidth,sound speed profile(SSP),water depth,and signal-to-noise ratio(SNR)are studied.The findings indicate that the proposed method can accurately estimate the source depth when the SNR is greater than-5 d B and does not need to consider model mismatch issues.Additionally,variations in environmental parameters have minimal impact on estimation accuracy.Compared to MFP,the proposed method requires a higher SNR,but demonstrates superior robustness against fluctuations in environmental parameters.展开更多
Nonconvex optimisation plays a crucial role in science and industry.However,existing methods often encounter local optima or provide inferior solutions when solving nonconvex optimisation problems,lacking robustness i...Nonconvex optimisation plays a crucial role in science and industry.However,existing methods often encounter local optima or provide inferior solutions when solving nonconvex optimisation problems,lacking robustness in noise scenarios.To address these limitations,we aim to develop a robust,efficient and globally convergent solver for nonconvex optimisation.This is achieved by combining the efficient local exploitation ability of a parameter-learnt neural dynamics(PLND)model with the global search capability of the coevolutionary mechanism.We combine their characteristics to design a coevolutionary neural dynamics with learnable parameters(CNDLP)model.The gradient information is used to find the optimal solution more effectively,and neural dynamics models have robustness,which ensures that the influence of noise can be effectively suppressed in the calculation process.Theoretical analyses show the global convergence and robustness of the designed CNDLP model.Numerical experiments on 9 benchmark functions and a practical engineering design example are conducted with five existing meta-heuristic algorithms.Benchmarks cover diverse problems,from classical landscapes like benchmark Shubert to high-dimensional cases such as 30-dimensional Rosenbrock.Results confirm CNDLP's excellent performance in both solution quality and convergence speed under noise.展开更多
A comprehensive experimental investigation was designed to explore the fretting wear behaviour of tungsten carbide WC-Co(25% cobalt),a cermet known for its exceptional wear and deformation resistance in harsh industri...A comprehensive experimental investigation was designed to explore the fretting wear behaviour of tungsten carbide WC-Co(25% cobalt),a cermet known for its exceptional wear and deformation resistance in harsh industrial settings.The study systematically examined the effects of three primary parameters—normal load(ranging from 1 to 4 N),contact duration(2 to 120 min),and vibration frequency(10.75 to 19.66 Hz)—using a custom-built ball-on-flat test rig operating under dry conditions.A multifactorial analysis of variance(ANOVA)was employed to assess the individual influence of each parameter on material mass loss.Findings reveal that both load and contact duration have a highly significant impact,whereas frequency shows a moderate but statistically meaningful effect.A nonlinear interaction between the parameters and the wear response was observed,characterised by an initial running-in phase transitioning into a steady-state wear regime.Microscopic analysis of the wear scars uncovered two distinct zones:a central,nearly circular adhesion zone and a peripheral elliptical sliding area.These morphological patterns were found to correlate closely with the measured mass loss.The results show that both load and contact duration have significant effects on mass loss(ANOVA,p<0.001),and the developed regression models explain over 96% of the variance,providing quantitative prediction tools for wear.展开更多
基金Support by National Natural Science Foundation of China (Grant No.52275227)Doctoral Research Initiation Fund from Liaoning Institute of Science and Technology of China (Grant No.2407B02)Project of Liaoning Provincial Department of Education of China (Grant No.LJ222511430005)。
摘要The high surface reflectivity of metallic materials and their narrow range of electromagnetic wave absorption(primarily in the visible spectrum) severely limit their practical applications in defense,energy conversion,and communication.Therefore,creating surface structures with anti-reflective properties on metallic materials can effectively reduce surface reflectivity and broaden the frequency bandwidth of electromagnetic wave absorption,a goal highly valued by scholars both domestically and internationally.In this study,we investigated the effect of femtosecond-laser process parameters(pulse frequency,processing power,scanning speed,processing time,and focal length) on the dimensional parameters and surface morphology of groove and circular hole structures using a single-factor approach.By varying the femtosecond-laser process parameters,we produced groove and circular hole specimens with different width/diameter-to-depth ratios.The results indicated that with increases in femtosecond-laser pulse frequency,processing power,scanning speed,and processing time,the width and depth of the grooves and circular holes increased to varying extents.We characterized the anti-reflective properties of the textured surfaces to elucidate the mechanism by which the width/diameter-to-depth ratio of the textured structures affects the anti-reflective properties of metal surfaces.The results show that the transverse dimensions and depths of the groove and hole structures increased linearly with increases in femtosecond-laser processing power and the number of processing cycles.The average reflectance of the structures increased from 15.15% to31.84% when the ratio of structural width(diameter) to depth ranged between 0.43 and 1.The average reflectance of the structures,calculated to be consistent with actual results,ranged from 12.13% to 36.37%.The findings demonstrate that the width/diameter-to-depth ratio of the structure is a crucial index for assessing antireflective performance.
基金supported by the National Natural Science Foundation of China(Nos.52105019,52275488,and 52405563)the Key Research and Development Program of Hubei Prov‐ince,China(No.2022 BAA 064)+1 种基金the Science and Technology Innovation Talent Plan of Hubei Province(No.2025 DJA 014)the Key Research and Development Program of Wuhan,China(No.2025061202030429).
摘要We propose a robust self-triggered switching control scheme for four-wheel-steering autonomous ground vehicles(FAGVs)to enhance tracking precision in the face of significant parameter variations.First,using the polytopic mechanism,the nonlinear dynamics of an FAGV are formulated as a switched linear parameter-varying system to accommodate parametric perturbations.With suitable dwell time,a novel self-triggered switching law is designed using energy density in terms of the tracking accuracy and system robustness;this satisfies the required control criteria while also preventing the Zeno phenomenon caused by traditional high-frequency switching.Through the application of multiple parameter-correlated Lyapunov functions,the resultant closed-loop system is ensured to be asymptotically stable with suitable auto-tuned gains.Finally,the efficacy and superiority of the proposed method are verified through experiments with an FAGV system.
摘要This research examines the optimization of motion strategy and control parameters for an Autonomous Underwater Glider(AUG)navigating between two points.For scenarios with specified initial position,target position,and heading,this study proposes a three-dimensional multimodal path planning methodology based on the 3D-Dubins path,ensuring both task fulfillment and motion feasibility within AUG dynamics constraints.The path planning approach incorporates ocean current interference and utilizes task objectives and control parameters as inputs.It systematically calculates information including horizontal Dubins type,vertical plane motion modes,and turning point depths to generate the path planning solution.The motion control strategy implements initial control parameter values and utilizes depth measurements as evaluation criteria.Through control parameter adjustments,the strategy facilitates tracking of the designated path.This control approach requires minimal feedback information,with computations executable by shore-based facilities,thereby reducing computational and measurement demands on the AUG and enhancing operational reliability.For specified task objectives,multi-objective optimization of control parameters is conducted using the proposed path planning method and motion control strategy,yielding optimized control parameters and corresponding motion control strategies for various operational requirements.
基金The Natural Science Research Project of Anhui Educational Committee(No.2022AH050814)Open Fund of State Key Laboratory of Nuclear Resources and Environment(East China Universityof Technology)(No.2022NRE07)+1 种基金the National Natural Science Foundation of China(No.51964002,52174104)Open Fund of Engineering Research Center of Underground Mine Construction of Ministry of Education(No.JYBGCZX2022105).
摘要Deep coal mining rock support structures using rock bolts face complex geological conditions such as high ground temperatures and groundwater.Rock mass deformation and failure caused by bolt failure frequently occur,making it crucial to enhance the anchoring performance of rock bolts.First,the stress state of the anchor rod under axial loading across five stages of any anchored segment is analyzed.The shear stress patterns at the anchoring interface during different stages are elucidated.A refined mechanical model of the anchoring interface incorporating surface rib parameters is established.A failure criterion for the anchoring interface under the influence of ground temperature or groundwater is derived and validated.Second,the influence of anchor rib parameters on anchoring force is abalyzed,and in-situ shear tests are conducted.Results indicate that increasing the rib angle and optimizing rib spacing can enhance anchoring force.To minimize the shear component of axial force at the anchor interface,the rib angle of the anchor bolt should not be less than 70°.When the anchor grout possesses high inherent strength,the spacing between ribs on the anchor bolt surface may be increased(to 24 mm or greater).Finally,methods for enhancing the anchoring performance of bolts in deep complex strata are proposed,providing technical references for the safe and efficient support of tunnel rock masses in similar geological conditions.
基金supported by the National Natural Science Foundation of China(Grant Nos.12272393 and 52130905).
摘要As binary geological media,soil-rock mixtures(SRMs)exhibit a distinct gradational composition,leading to their unique mechanical behaviors.To appraise the stability of SRM slopes,it is essential to determine equivalent parameters of SRMs,which are typically obtained through experimental and numerical methods.In contrasted to other numerical methods,the numerical manifold method(NMM)is more effective in addressing SRM problems.This is because the high-precision regular mathematical meshes in NMM can be used without aligning with the soil-rock interfaces and boundaries of SRMs.In the current research,the equivalent strength parameters of SRMs,i.e.the equivalent cohesion ce and internal friction angleϕe,are determined using NMM.Initially,an NMM triaxial numerical model is established and validated based on triaxial experiments.Subsequently,the soil and rock parameters are derived through parameter inversion.Moreover,the impacts of rock content,size,shape and rock blocks'major-axis orientation on ce andϕe of SRMs are thoroughly examined using the NMM triaxial numerical model.Additionally,a fitting function is proposed to linkϕe to the rock content and size of SRMs.When other influencing factors are fixed,the above fitting model leads to the following conclusions:(1)the predictedϕe of SRMs increase with the increase of rock content;and(2)SRM samples with smaller rocks display a higher predictedϕe.
基金supported by the National Key Research and Development Plan(Grant No.2022YFB3401901)the National Natural Science Foundation of China(Grant Nos.12192210,12192214,12072295,and 12222209)+1 种基金Independent Project of State Key Laboratory of Rail Transit Vehicle System(Grant No.2023TPL-T03)Fundamental Research Funds for the Central Universities(Grant No.2682023CG004).
摘要The S38C railway axle undergoes induction hardening,resulting in a gradient-distributed microstructure and mechanical properties.The accurate identification of gradient-distributed plastic parameters for the S38C axle remains a challenging task.To tackle this challenge,the present study proposes a novel approach for identifying the gradient-distributed plastic parameters for the S38C axle by integrating nano-indentation techniques with the machine learning method.Firstly,nano-indentation tests are conducted along the radial direction of the S38C axle to obtain the gradient-distributed load-displacement curves,nano-hardness,and elastic modulus.Subsequently,the dimensionless analysis is performed to obtain the representative stress,strain,and yield stress from load-displacement curves.These parameters are then incorporated into the machine learning method as physical information to identify the gradient-distributed plastic parameters of the S38C axle.The results indicate that the proposed method based on the physics-informed neural network and multi-fidelity neural network successfully identifies the gradient-distributed plastic parameters of the S38C axles and demonstrates superior prediction accuracy and generalization compared with the purely data-driven machine learning method.
基金supported by the National Natural Science Foundation of China[grant number 12202210]the Open Grants of the Key Laboratory of Lightning[grant number 2023KELL-B006]+1 种基金the Startup Foundation for Introducing Talent of Nanjing University of Information Science and Technology[grant number 2022r095]the China Postdoctoral Science Foundation[grant number 2024M751481]。
摘要Lightning poses significant risks to infrastructure and safety.Existing forecasting models depend on LPI data but often ignore the impact of atmospheric parameters on lightning.These methods are simple and fail to predict complex lightning events effectively.This paper introduces a lightning forecasting model,CLKA-LPO,which uses physical parameters and a CNN-LSTM-KAN architecture to enhance prediction accuracy.The model adopts a CNN-LSTM-KAN architecture,integrating KANs(Kolmogorov–Arnold Networks)to replace traditional convolutional neural networks,and improve its ability to generalize,thus accurately forecasting lightning in given areas.The paper uses t-tests and Pearson correlation to assess the significance of correlation coefficients for 103 meteorological parameters,identifying 16 key predictors.Then,a machine learning–based thunderstorm forecasting model is developed to monitor lightning activity.To analyze the relationship between 103 parameters and the lightning flash rate,19 key physical parameters are selected.A deep learning model,CLKA-LPO,is then used to forecast ground and total lightning flashes.Evaluations show the CLKA-LPO model enhances the ground lightning prediction accuracy by 30%and total lightning prediction by 20%over traditional models like CNN,LSTM,Transformer,and CNN-LSTM.The CLKA-LPO model effectively correlates physical parameters with lightning events,offering precise forecasts for both ground and total lightning flashes,ensuring dependable lightning forecasts.
基金supported by the National Key Research and Development Program of China(No.2023YFD2401101)the National Natural Science Foundation of China(No.U25A20792)+3 种基金the earmarked fund for China Agriculture Research System(No.CARS-50)the Shandong Postdoctoral Innovation Project(No.SDCXZG-202503106)the Taishan Scholars Program(No.tsqn202312279)the Leading Talents of Yellow River Delta(No.DYRC20230201)。
摘要The quantity and quality of plankton are generally affected by the characteristics of the water,and water environmental conditions are also considered key factors affecting the growth of hydrobionts.Consequently,an investigation was conducted into the environmental parameters,and the characteristics of plankton in the sampling sites of Mazuao,Sanggou Bay,and Guazichang,as well as their impact on the growth parameters of oysters.The results indicated that the average water temperature in the Mazuao area was higher than that in Sanggou Bay and Guazichang,while the salinity was lower.The dissolved oxygen and pH values in all three areas met the criteria for mariculture water quality.The diversity and abundance of plankton exhibited seasonal variations,with the total abundance being higher in June(summer)and reaching the minimum in December(winter)in all three sea areas.The phytoplankton species composition in the three aquaculture areas was of the‘Diatom-Pyrrophyta'type,and diatoms dominate in plankton.Redundancy analysis(RDA)showed that plankton abundance has the highest correlation with water temperature,salinity,dissolved oxygen and pH.Notably,the Mazuao area had the highest average total abundance of phytoplankton throughout the year.Overall,oysters could obtain better growth advantages in the Mazuao area.RDA indicated that water temperature and plankton abundance in the Mazuao area were dominant factors affecting the growth parameters of oysters.Understanding these relationships is crucial for effective coastal ecosystem management and ensuring the long-term sustainability of aquaculture industries.
基金Project(2021YFC2901600)supported by the National Key Research and Development Program of ChinaProject(GJJSGFJQ202302)supported by Project of Zhongyuan Critical Metals Laboratory,ChinaProject(23HASTIT009)supported by Youth Science and Technology Innovation of Henan Province,China。
摘要The effect of fluoride ions on the coordination properties and kinetic parameters of vanadium ions in molten salts was investigated.The competitive coordination process of V(Ⅲ)with Cl−and F−and its mechanism were investigated by combining electrochemical and spectroscopic techniques and ab initio molecular dynamics(AIMD)simulations.The electrochemical behavior of V(Ⅲ)in melt LiCl-KCl-KF with various F/V molar ratios was studied by cyclic voltammetry,square wave voltammetry and open circuit potentiometry at 823 K.The morphology of V(Ⅲ)in the molten salt was observed by Raman spectroscopy.Combining mathematical calculations and AIMD simulations,it is concluded that VCl4F23−is the most stable complex in the melt at 823 K.In addition,the diffusion coefficients of V(Ⅲ)were calculated to be between 6.79×10−5cm/s and 2.68×10−4cm/s under various contents of KF.The kinetic mechanism of V(Ⅲ)was studied by electrochemical impedance spectroscopy and the exchange current density i0=1.27−2.89 A/cm2,and the reaction rate constant k0=1.69×10−6−3.84×10−6cm/s.This work aims to provide a theoretical basis for the mechanistic study and process optimization of vanadium electrolysis from molten salts.
摘要Sickle cell disease(SCD)is one of the most common hereditary diseases in the world.It leads to hemolytic anemia and painful vaso-occlusive crises that can damage target organs at the cardiopulmonary,cerebrovascular,and renal levels.SCD has also significant consequences on reproductive functions and fertility.Moreover,the treatments designed to alleviate and reduce vaso-occlusive crises directly impact male reproductive functions.Nevertheless,literature assessing the impact of SCD and its treatments on male reproductive functions remains limited and lacks robust evidence.A systematic review of the literature following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses(PRISMA)recommendation was carried out on the reproductive functions of men with SCD and the reproductive options available to them.Most studies have found that men with SCD frequently exhibit impaired sperm parameters.In addition,hydroxyurea(HU),proposed to relieve and reduce vaso-occlusive crises,is also known to impact male reproductive functions,and the reversibility of these consequences on sperm parameters remains hypothetical.Hematopoietic stem cell transplantation(HSCT)is currently the only curative treatment.However,conditioning treatments are highly gonadotoxic and can permanently alter spermatogenesis.Young men with SCD should therefore be informed about fertility at an early stage,and fertility preservation should be discussed in pubescent men,especially if treatment with HU or HSCT is to be initiated.In prepubertal boys about to undergo HSCT,immature testicular tissue freezing should be discussed,even though this technique is still experimental.
基金funded by the National Natural Science Foundation of China(No.52474223).
摘要Stepped slopes are common in mountainous regions and are characterized by pronounced benches and risers,which generate strong occlusions during ground-based image acquisition and limit the accuracy of Structure-from-Motion(SfM)-based 3D reconstruction of surface deformation features.Despite the increasing application of SfM in slope monitoring,practical guidelines for optimizing ground-based camera deployment on stepped terrains remain limited.To address this gap,this study investigates the effects of ground-based camera deployment parameters on SfM reconstruction accuracy through geometrically scaled physical modeling and field validation.A 1:10 physical model of a rainfall-induced stepped slope was constructed to reproduce representative surface cracking patterns,with rainfall applied solely to induce deformation rather than treated as an experimental variable.Camera height,layout type,inter-camera angular interval,and camera number were systematically varied under controlled single-elevation configurations.Reconstruction accuracy was evaluated using the mean relative error between manually measured and SfM-derived crack widths.The results show that deployment geometry strongly governs reconstruction performance.A camera height of approximately one-third of slope height provides a favorable balance between spatial resolution and coverage.Compared with conventional horizontal layouts,fan-shaped configurations significantly reduce occlusion effects and improve crack-width measurement accuracy.Increasing the number of cameras generally reduces reconstruction error,but the improvement becomes marginal beyond four to five cameras under single-elevation deployment conditions.Under the optimal configuration,the physical model achieved a minimum mean relative error of 4.3%,while the field application at a prototype stepped slope yielded a mean relative error of 12.2%,which is acceptable for routine engineering monitoring.These findings provide practical and cost-effective guidance for ground-based SfM monitoring of deformation on stepped slopes in mountainous terrain.
基金supported by Changsha Jingyi Pharmaceutical Technology Co.,Ltd.We sincerely thank Chen Chen from Changsha Jingyi Pharmaceutical Technology Co.,Ltd.,for his guidance on the preparation of cataplasms,and Ran Huang and Qixia Zhao from Changsha Jingyi Pharmaceutical Technology Co.,Ltd.,for their guidance on the use of SEM-EDS and soft ion polisher.
摘要Compared with conventional cataplasms,those incorporating a cross-linked network structure significantly enhance their mechanical strength and cohesion,endowing them with good formability and adhesion properties,solving problems such as cold flow and slippage,thereby greatly increasing the convenience of use.However,systematic studies investigating the structural profiling of cross-linked networks in cataplasms remain scarce,limiting a comprehensive understanding of their functional significance.Therefore,we developed a systematic methodology to characterize emulsion-type cataplasms(as a model formulation)with cross-linked network structures,classifying their key structural parameters into four levels.The primary structures defined formability and adhesion,ensuring intact and durable skin adhesion.The secondary structure was intermediates formed by the drug and oily components.The tertiary structure was a dynamic structure,evaluating the quality changes of cataplasms during processes such as crosslinking and storage.The quaternary structure was a molecular structure,representing the mechanism by which the cross-linked network structure was formed.The factors influencing structural parameters and the laws between the intrinsic structures were investigated.Furthermore,we established threshold values for the primary structures,indicating when cataplasms possess optimal formability.This study offers new insights for cataplasm design and provides valuable references for industrial development.
基金financially supported by the National Natural Science Foundation of China(Key Program:no.42130312,Excellent Research Group for Tibetan Plateau Earth System:no.42588201)by the Department of Science and Technology of the Xizang Autonomous Region(no.XZ202601ZY0168)。
摘要The Indian,Arabian and Eurasian continental plate collision zones are tectonically active regions on Earth,characterized by intense seismicity and complex faulting patterns.In this study,teleseismic body-waveform inversion is applied to determine source parameters of 98 moderate to large earthquakes distributed across the Indian and Eurasian(IE)plates collision zone,the Arabian and Eurasian(AE)plates collision zone,and the transitional Makran accretionary wedge.The IE collision,initiated during the Paleocene-Eocene following closure of the Neo-Tethys Ocean,and the younger AE collision,active since the Early Miocene,exhibit contrasting tectonic styles.Earthquakes in both collision zones are dominated by reverse faulting within the upper and middle crust.However,the average dip of north-dipping thrust faults in the AE zone(~35°)is much steeper than that in the IE zone(~15°),indicating differences in lithospheric structure and mechanical coupling during continental convergence.In contrast,the Makran transition zone exhibits a mixture of reverse,strike-slip,and normal faulting mechanisms,with seismicity extending to depths of~70 km,reflecting deformation within the subducting Arabian slab and complex stress partitioning within the accretionary wedge.These results provide improved regional constraints on earthquake depth distributions and faulting styles,offering new insights into tectonic processes and seismic hazard potential across collision subduction transition systems.
基金supported by the National Natural Science Foundation of China(Nos.52404387,52090041,52374379,52425409)Xiaomi Young Scholars Program China,the National Postdoctoral Program for Innovative Talents,China(No.BX20230042)China Postdoctoral Science Foundation(No.2024M750174)。
摘要To address the zero-sample challenge in preparation parameter design for newly developed alloys,a novel machine learning strategy that integrates basic dataset construction with Bayesian optimization,was proposed.The impact of basic sample dataset construction methods,optimization benchmarks and multi-objective utility functions on Bayesian optimization was investigated.It was found that the combination of orthogonal design,linear benchmark,and shifted multiplicative utility function exhibits the best optimization performance.The strategy was then applied to a new Cu-Ni-Co-Si alloy with ultra-low Co content(0.7 wt.%Co),previously designed by our research team.Rapid optimization of six preparation parameters in the two-stage deformation and aging process of the zero-sample alloy was achieved through only 23 experiments.The measured ultimate tensile strength and electrical conductivity of the new alloy were 878 MPa and 44.0%(IACS),respectively,reaching the comprehensive performance level of the Cu-Ni-Co-Si alloy(C70350 alloy)containing 1.0-2.0 wt.%Co.
摘要Hepatocellular carcinoma presents with three distinct immune phenotypes,including immune-desert,immune-excluded,and immune-inflamed,indicating various treatment responses and prognostic outcomes.The clinical application of multi-omics parameters is still restricted by the expensive and less accessible assays,although they accurately reflect immune status.A comprehensive evaluation framework based on“easy-to-obtain”multi-model clinical parameters is urgently required,incorporating clinical features to establish baseline patient profiles and disease staging;routine blood tests assessing systemic metabolic and functional status;immune cell subsets quantifying subcluster dynamics;imaging features delineating tumor morphology,spatial configuration,and perilesional anatomical relationships;immunohistochemical markers positioning qualitative and quantitative detection of tumor antigens from the cellular and molecular level.This integrated phenomic approach aims to improve prognostic stratification and clinical decision-making in hepatocellular carcinoma management conveniently and practically.
基金supported by the National Key Research and Development Project(No.2024YFB4105200)the National Science Foundation of China(Nos.62573284,62333015,62261160385)+1 种基金the Science Foundation of Shanghai(No.24ZR1438800)the China Postdoctoral Science Foundation(No.2025M771696).
摘要A data-driven model predictive control(MPC)algorithm based on the input-mapping method is proposed for piecewise affine(PWA)systems.These systems are characterized by unknown but constant parameters and are subject to disturbances,as well as state and input constraints.To support the control strategy,an offline algorithm is developed to compute a non-convex robust positively invariant set that serves as the terminal set within the MPC framework tailored for PWA systems.The online MPC algorithm directly maps the future control input and predicted state to the historical input-state data associated with the corresponding state subregion.This mapping process leverages the more accurate relationships contained in the historical input-state data to enhance the prediction accuracy of future states.A state-dependent weight embedded in the cost function enables the controller to balance prediction accuracy against convergence speed,enhancing overall performance.Moreover,conditions ensuring the recursive feasibility of the optimization problem and stability of the closed-loop system are established.The effectiveness of the proposed algorithm is demonstrated through a numerical example,which highlights its ability to handle complex system dynamics and constraints while maintaining robust performance.
摘要Hematological parameters are important markers that can provide insight into the pathogenesis and progression of pancreatic cancer(PC).According to the literature,there are many hematological parameters in the pathogenesis of PC.However,this review article only summarized a few parameters,such as red blood cells,red cell distribution width,mean corpuscular volume,mean corpuscular haemoglobin concentration,platelets,mean platelet volume(MPV),white blood cells and its types such as neutrophils,lymphocytes,monocytes,eosinophils and basophils,ratios including neutrophil-to-lymphocyte ratio,monocyte to lymphocyte ratio,and platelet to lymphocyte ratio,lymphocyte-to-monocyte ratio,MPV/platelet count ratio,neutrophil-to-monocyte ratio and platelet-to-white blood cell ratio,MPV/platelet ratio in PC.Red cell volume distribution width could be an independent risk factor for PC.For patients with resectable neoadjuvant-treated pancreatic ductal adenocarcinoma,high mean corpuscular volume is an independent unfavourable prognostic factor.Low mean corpuscular haemoglobin concentration was positively correlated with overall survival in resectable PC,which could be used to predict the prognosis.Platelets have been identified as important participants in cancer,thrombosis,and hemo-stasis.Usually,thrombosis is caused by pancreatic tumors that speed up platelet aggregation.Extracellular vesicles that platelets produce also facilitate communication within a neoplastic milieu and demonstrate how these interactions propel the progression of diseases.The development and outcome of PC are significantly influenced by neutrophil infiltration.Through a variety of processes,such as angiogenesis,immune suppression,immune evasion,and epithelial-mesenchymal transition,neutrophils aid in the liver metastasis of PC.The primary immunologic alteration in advanced PC is the decrease in blood total lymphocytes.It suggested monocytes as a new prognostic indicator.
基金Project supported by the National Natural Science Foundation of China(Grant Nos.12274348 and 12004335)the National Key Research and Development Program of China(Grant No.2024YFC2813800)。
摘要Presented in this study is a novel method for estimating the depth of single underwater source in shallow water,utilizing vector sensors.The approach leverages the depth distribution of the broadband Stokes parameters to estimate source depth accurately.Unlike traditional matched field processing(MFP)and matched mode processing(MMP),the proposed approach can estimate source depth directly from the data received by sensors without requiring complete environmental information.Firstly,the broadband Stokes parameters(BSP)are established using the normal mode theory.Then the nonstationary phase approximation is used to simplify the theoretical derivation,which is necessary when dealing with broadband integrals.Additionally,range terms of the BSP are eliminated by normalization.By analyzing the depth distribution of the normalized broadband Stokes parameters(NBSP),it is found that the NBSP exhibit extreme values at the source depth,which can be used for source depth estimation.So the proposed depth estimation method is based on searching the peaks of the NBSP.Simulations show that this method is effective in relatively simple shallow water environments.Finally,the effect of source range,frequency bandwidth,sound speed profile(SSP),water depth,and signal-to-noise ratio(SNR)are studied.The findings indicate that the proposed method can accurately estimate the source depth when the SNR is greater than-5 d B and does not need to consider model mismatch issues.Additionally,variations in environmental parameters have minimal impact on estimation accuracy.Compared to MFP,the proposed method requires a higher SNR,but demonstrates superior robustness against fluctuations in environmental parameters.
基金supported by the Leading Talent of the Qinghai Province Kunlun Talents Programme・High-Level Innovative and Entrepreneurial Talents(QHKLYC-GDCXCY-2024-359).
摘要Nonconvex optimisation plays a crucial role in science and industry.However,existing methods often encounter local optima or provide inferior solutions when solving nonconvex optimisation problems,lacking robustness in noise scenarios.To address these limitations,we aim to develop a robust,efficient and globally convergent solver for nonconvex optimisation.This is achieved by combining the efficient local exploitation ability of a parameter-learnt neural dynamics(PLND)model with the global search capability of the coevolutionary mechanism.We combine their characteristics to design a coevolutionary neural dynamics with learnable parameters(CNDLP)model.The gradient information is used to find the optimal solution more effectively,and neural dynamics models have robustness,which ensures that the influence of noise can be effectively suppressed in the calculation process.Theoretical analyses show the global convergence and robustness of the designed CNDLP model.Numerical experiments on 9 benchmark functions and a practical engineering design example are conducted with five existing meta-heuristic algorithms.Benchmarks cover diverse problems,from classical landscapes like benchmark Shubert to high-dimensional cases such as 30-dimensional Rosenbrock.Results confirm CNDLP's excellent performance in both solution quality and convergence speed under noise.
摘要A comprehensive experimental investigation was designed to explore the fretting wear behaviour of tungsten carbide WC-Co(25% cobalt),a cermet known for its exceptional wear and deformation resistance in harsh industrial settings.The study systematically examined the effects of three primary parameters—normal load(ranging from 1 to 4 N),contact duration(2 to 120 min),and vibration frequency(10.75 to 19.66 Hz)—using a custom-built ball-on-flat test rig operating under dry conditions.A multifactorial analysis of variance(ANOVA)was employed to assess the individual influence of each parameter on material mass loss.Findings reveal that both load and contact duration have a highly significant impact,whereas frequency shows a moderate but statistically meaningful effect.A nonlinear interaction between the parameters and the wear response was observed,characterised by an initial running-in phase transitioning into a steady-state wear regime.Microscopic analysis of the wear scars uncovered two distinct zones:a central,nearly circular adhesion zone and a peripheral elliptical sliding area.These morphological patterns were found to correlate closely with the measured mass loss.The results show that both load and contact duration have significant effects on mass loss(ANOVA,p<0.001),and the developed regression models explain over 96% of the variance,providing quantitative prediction tools for wear.