Rigid barriers,e.g.reinforced concrete check dams,are critical for debris-flow hazard mitigation,yet the mechanisms governing overflow dynamics remain poorly understood.This study develops overflow models for dry gran...Rigid barriers,e.g.reinforced concrete check dams,are critical for debris-flow hazard mitigation,yet the mechanisms governing overflow dynamics remain poorly understood.This study develops overflow models for dry granular and granular–fluid mixture flows,expressed through the incoming-flow Froude number(Fr1).The models have been verified through flume experiments with water,granular–fluid mixture flows(solid concentrations of 50%,55%,and 60%with viscosities of 0.01 Pa·s and 0.1 Pa·s),and dry granular flows.Results reveal contrasting load behaviors:dry granular flows exhibit static load-dominated regimes with minimal Fr1dependence,which results in lower actual loads than theoretical predictions.Conversely,water and granular–fluid mixture flows display dynamic load dominance,where loads increase with Fr1and measured values show good agreement with theoretical predictions.Flow transitions from hydraulic-jump to jet-up overflow at elevated Fr1,as delineated by a phase diagram.Notably,granular–fluid mixture flows induce continuous mixing with deposited materials behind the barrier,altering load distributions compared to hydrostatic profiles and generating circulation zones that either align or oppose the direction of overflow.This study advances overflow characterization and improves barrier design optimization for enhanced hazard mitigation.展开更多
The study of irradiation hardening and embrittlement is critically important for the development of next-generation structural materials tolerant to neutron irradiation,and could dramatically affect the approach to th...The study of irradiation hardening and embrittlement is critically important for the development of next-generation structural materials tolerant to neutron irradiation,and could dramatically affect the approach to the design of components for advanced nuclear reactors.In addition,a growing interest is observed in the field of research and development of irradiation-resistant materials.This review aims to provide an overview of the theoretical development related to irradiation hardening and embrittlement at moderate irradiation conditions achieved in recent years,which can help extend our fundamental knowledge on nuclear structural materials.After a general introduction to the irradiation effects on metallic materials,recent research progress covering theoretical modelling is summarized for different types of structural materials.The fundamental mechanisms are elucidated within a wide range of temporal and spatial scales.This review closes with the current understanding of irradiation hardening and embrittlement,and puts some perspectives deserving further study.展开更多
In this paper, the basic equations of beam-wave interaction for designing the 220 GHz folded waveguide (FW) backward wave oscillator (BWO) are described. On the whole, these equations are mainly classified into sm...In this paper, the basic equations of beam-wave interaction for designing the 220 GHz folded waveguide (FW) backward wave oscillator (BWO) are described. On the whole, these equations are mainly classified into small signal model (SSM), large signal model (LSM), and simplified small signal model (SSSM). Using these linear and nonlinear one-dimensional (1D) models, the oscillation characteristics of the FW BWO of a given configuration of slow wave struc- ture (SWS) can be calculated by numerical iteration algorithm, which is more time efficient than three-dimensional (3D) particle-in-cell (PIC) simulation. The SSSM expressed by analytical formulas is innovatively derived for determining the initial values of the FW SWS conveniently. The dispersion characteristics of the FW are obtained by equivalent circuit analysis. The space charge effect, the end reflection effect, the lossy wall effect, and the relativistic effect are all considered in our models to offer more accurate results. The design process of the FW BWO tube with output power of watt scale in a frequency range between 215 GHz and 225 GHz based on these 1D models is demonstrated. The 3D PIC method is adopted to verify the theoretical design results, which shows that they are in good agreement with each other.展开更多
Abstract With the recent products being more reliable, engineers cannot obtain enough failure or degradation information through the design period and even the product lifetime, therefore, accel erated life test (ALT...Abstract With the recent products being more reliable, engineers cannot obtain enough failure or degradation information through the design period and even the product lifetime, therefore, accel erated life test (ALT) ihas become the most popular way to quantify the life characteristics of prod ucts. Test design is the most essential topic, such as testing duration, stress profile, data inference, etc. In this paper, a method and procedure based on theoretical life models is proposed to determine the accelerated stress profile. Firstly, the method for theoretical life calculation is put forward based on the main failure mechanism analysis and the theoretical life models. Secondly, the method is pro vided to determine the accelerated stress profile, including the method to determine the accelerated stress types and the stress range on the basis of the main failure mechanism analysis, the method to determine the acceleration factor and the accelerated stress level based on life quantitative calcula tion models, and the collaborative analysis method of the accelerated test time while taking the mul tiple failure mechanisms into consideration. Lastly, the actuator is taken as an example to describe the procedure of the method and the engineering applicability and the validity are verified.展开更多
This article aims tomodel and analyze the heat and fluid flow characteristics of a carboxymethyl cellulose(CMC)nanofluid within a convergent-divergent shaped microchannel(Two-dimensional).The base fluid,water+CMC(0.5%...This article aims tomodel and analyze the heat and fluid flow characteristics of a carboxymethyl cellulose(CMC)nanofluid within a convergent-divergent shaped microchannel(Two-dimensional).The base fluid,water+CMC(0.5%),is mixed with CuO and Al2O3 nanoparticles at volume fractions of 0.5%and 1.5%,respectively.The research is conducted through the conjugate usage of experimental and theoretical models to represent more realistic properties of the non-Newtonian nanofluid.Three types of microchannels including straight,divergent,and convergent are considered,all having the same length and identical inlet cross-sectional area.Using ANSYS FLUENT software,Navier-Stokes equations are solved for the laminar flow of the non-Newtonian nanofluid.The study examines the effects of Reynolds number,nanoparticle concentration and type,and microchannel geometry on flow and heat transfer.The results prove that the alumina nanoparticles outperform copper oxide in increasing the Nusselt number at a 0.5% volume fraction,while copper oxide nanoparticles excel at a 1.5%volume fraction.Moreover,in the selected case study,as the Reynolds number increases from 100 to 500,the Nusselt number rises by 56.26% in straight geometry,52.93% in divergent geometry,and 59.10%in convergent geometry.Besides,the Nusselt number enhances by 18.75% when transitioning from straight to convergent geometry at a Reynolds number of 500,and by 19.81%at a Reynolds number of 1000.Finally,the results of the research depict that the use of thermophysical properties derived from the experimental achievements,despite creating complexity in the modeling and the solution method,leads to more accurate and realistic outputs.展开更多
Axial piston pumps have been widely used in aircraft hydraulic systems to supply the system with pressurized fluid. The continuous improvement of the aircraft performance has put forward the demand on aviation piston ...Axial piston pumps have been widely used in aircraft hydraulic systems to supply the system with pressurized fluid. The continuous improvement of the aircraft performance has put forward the demand on aviation piston pumps for high power density, safety, and reliability. The lubricating interfaces in axial piston machines are the key design issue that greatly determines the pump performance and service life. The cylinder block/valve plate interface is one of these critical lubricating interfaces and has received considerable attention from many researchers in the last half century. This study aims to review the state-of-the-art literature on the cylinder block/valve plate interface comprehensively and systematically. First, we introduce various theoretical models developed to investigate the lubrication behaviors of the interface and compare them in terms of their assumptions and limitations. Second, the experimental studies on the cylinder block/valve plate interface are presented comprehensively, where the involved test rigs are divided into three types according to their fidelity levels and measurement functionality. Third, we summarize some typical approaches of structure optimization, surface shaping, and surface strengthening, which help improve the load-carrying and anti-wear capacities of the interface under severe operating conditions. Finally, the challenges and future trends of the cylinder block/valve plate interface research are discussed briefly.展开更多
Cyclic loads generated by environmental factors,such as winds,waves,and trains,will likely lead to performance degradation in pile foundations,resulting in issues like permanent displacement accumulation and bearing c...Cyclic loads generated by environmental factors,such as winds,waves,and trains,will likely lead to performance degradation in pile foundations,resulting in issues like permanent displacement accumulation and bearing capacity attenuation.This paper presents a semi-analytical solution for predicting the axial cyclic behavior of piles in sands.The solution relies on two enhanced nonlinear load-transfer models considering stress-strain hysteresis and cyclic degradation in the pile-soil interaction.Model parameters are calibrated through cyclic shear tests of the sand-steel interface and laboratory geotechnical testing of sands.A novel aspect involves the meticulous formulation of the shaft loadtransfer function using an interface constitutive model,which inherently inherits the interface model’s advantages,such as capturing hysteresis,hardening,degradation,and particle breakage.The semi-analytical solution is computed numerically using the matrix displacement method,and the calculated values are validated through model tests performed on non-displacement and displacement piles in sands.The results demonstrate that the predicted values show excellent agreement with the measured values for both the static and cyclic responses of piles in sands.The displacement pile response,including factors such as bearing capacity,mobilized shaft resistance,and convergence rate of permanent settlement,exhibit improvements compared to non-displacement piles attributed to the soil squeezing effect.This methodology presents an innovative analytical framework,allowing for integrating cyclic interface models into the theoretical investigation of pile responses.展开更多
To control the power hierarchy design of lithium-ion battery(LIB)builtup sets for electric vehicles(EVs),we offer intensive theoretical and experimental sets of choice anode/cathode architectonics that can be modulate...To control the power hierarchy design of lithium-ion battery(LIB)builtup sets for electric vehicles(EVs),we offer intensive theoretical and experimental sets of choice anode/cathode architectonics that can be modulated in full-scale LIB built-up models.As primary structural tectonics,heterogeneous composite superstructures of full-cell-LIB(anode//cathode)electrodes were designed in closely packed flower agave rosettes TiO2@C(FRTO@C anode)and vertical-star-tower LiFePO4@C(VST@C cathode)building blocks to regulate the electron/ion movement in the three-dimensional axes and orientation pathways.The superpower hierarchy surfaces and multi-directional orientation components may create isosurface potential electrodes with mobile electron movements,in-to-out interplay electron dominances,and electron/charge cloud distributions.This study is the first to evaluate the hotkeys of choice anode/cathode architectonics to assemble different LIB-electrode platforms with high-mobility electron/ion flows and high-performance capacity functionalities.Density functional theory calculation revealed that the FRTO@C anode and VST-(i)@C cathode architectonics are a superior choice for the configuration of full-scale LIB built-up models.The integrated FRTO@C//VST-(i)@C full-scale LIB retains a huge discharge capacity(~94.2%),an average Coulombic efficiency of 99.85%after 2000 cycles at 1 C,and a high energy density of 127 Wh kg?1,thereby satisfying scale-up commercial EV requirements.展开更多
Large Language Models(LLMs)have been playing a transformative role in natural language understanding and generation,yet adapting LLMs to domain-specific and privacy-sensitive data remains challenging under centralized...Large Language Models(LLMs)have been playing a transformative role in natural language understanding and generation,yet adapting LLMs to domain-specific and privacy-sensitive data remains challenging under centralized training.Federated Learning(FL)provides a promising alternative by enabling training LLMs collaboratively without sharing raw data.However,integrating FL and LLMs introduces new challenges,including model size,device heterogeneity,non-IID data,and alignment requirements.This survey offers a structured overview of the federated LLM ecosystem.We present a comprehensive taxonomy encompassing system architectures,advanced data strategies for addressing heterogeneity,and retrieval-augmented generation in federated contexts.Additionally,we review efficient adaptation methods that enable LLM tuning on resource-constrained clients and analyze data security and privacy concerns.We conclude by summarizing emerging applications in healthcare,industry,software engineering,and finance,and by outlining open problems and research opportunities for scalable,secure,and responsible federated LLM deployment.展开更多
By using the method of literature review, this paper introduces the popular theoretical models which have shown to better explain physical activity behaviors at a certain degree, summarizes the dominating theoretical ...By using the method of literature review, this paper introduces the popular theoretical models which have shown to better explain physical activity behaviors at a certain degree, summarizes the dominating theoretical models in the studies of physical activity behaviors of the elderly in China. In addition, shortcomings and future prospects are pointed out at the end.展开更多
Taking the Xinhe mine's structure, mine pressure, structural fissure, fault andfault displacement, the distance between fault and water inrush point, thickness of block,water pressure those geological factors whic...Taking the Xinhe mine's structure, mine pressure, structural fissure, fault andfault displacement, the distance between fault and water inrush point, thickness of block,water pressure those geological factors which influenced the water inrush as the independentvariable, based on these data of water inrush point and water uninrush point, usingthe method of quantification theory(Ⅰ,Ⅱ), it would quantitatively disposes the qualitativevariable, applied to calculation to evaluate the risk of Xinhe's water inrush.展开更多
This study explored the transformative potential of artificial intelligence(AI)in addressing the challenges posed by terahertz ultra-massive multiple-input multiple-output(UM-MIMO)systems.It begins by outlining the ch...This study explored the transformative potential of artificial intelligence(AI)in addressing the challenges posed by terahertz ultra-massive multiple-input multiple-output(UM-MIMO)systems.It begins by outlining the characteristics of terahertz UM-MIMO systems and identifies three primary challenges for transceiver design:computational complexity,modeling difficulty,and measurement limitations.The study posits that AI provides a promising solution to these challenges.Three systematic research roadmaps are proposed for developing AI algorithms tailored to terahertz UM-MIMO systems.The first roadmap,model-driven deep learning(DL),emphasizes the importance of leveraging available domain knowledge and advocates the adoption of AI only to enhance bottleneck modules within an established signal processing or optimization framework.Four essential steps are discussed:algorithmic frameworks,basis algorithms,loss function design,and neural architecture design.The second roadmap presents channel state information(CSI)foundation models,aimed at unifying the design of different transceiver modules by focusing on their shared foundation,that is,the wireless channel.The training of a single compact foundation model is proposed to estimate the score function of wireless channels,which serve as a versatile prior for designing a wide variety of transceiver modules.Four essential steps are outlined:general frameworks,conditioning,site-specific adaptation,and the joint design of CSI foundation models and model-driven DL.The third roadmap aims to explore potential directions for applying pretrained large language models(LLMs)to terahertz UM-MIMO systems.Several application scenarios are envisioned,including LLM-based estimation,optimization,search,network management,and protocol understanding.Finally,the study highlights open problems and future research directions.展开更多
Large-scale artificial intelligence(Al)models can mine potential patterns from massive amounts of data and provide more accurate analyses.This capability has enabled its gradual application in various areas of bioinfo...Large-scale artificial intelligence(Al)models can mine potential patterns from massive amounts of data and provide more accurate analyses.This capability has enabled its gradual application in various areas of bioinformatics.However,few reviews have comprehensively summarized the applications of different types of large-scale Al models in key areas of bioinformatics.Therefore,we first introduce the concept of large-scale Al models and classify them into three types.Second,we summarize the key methods,applications,and resources of these three types of bioinformatics models.Finally,we discuss challenges and directions for future research.This review provides researchers with a comprehensive perspective to better understand the applications of large-scale Al models in bioinformatics.展开更多
To solve the disability of conventional model used in electrical leak location when measurement electrodes were buried under the liner, a new model of high voltage DC leak detection is developed. For single-liner land...To solve the disability of conventional model used in electrical leak location when measurement electrodes were buried under the liner, a new model of high voltage DC leak detection is developed. For single-liner landfill, the waste material layer, the geomembrane liner and the soil under the liner are simulated with infinite horizontal layers. The leak is regarded as two parts, one being negative current source at the entrance, and the other positive current source of the same size at the exit. Comparisons between the new theoretical model and conventional model show that conventional model is efficient in locating leaks in geomembane liner associating the dipole scanning above the liner but is ineffective when the measurement electrodes were buried under the liner. The new theoretical model data are in excellent agreement with experimental data not only above the liner but also under the liner.展开更多
The increasing complexity of future networks demands intelligent,scalable,and adaptive management solutions.Digital twin network(DTN)provides a high-fidelity replica of the physical network for monitoring and optimiza...The increasing complexity of future networks demands intelligent,scalable,and adaptive management solutions.Digital twin network(DTN)provides a high-fidelity replica of the physical network for monitoring and optimization,but faces significant limitations,including complex modeling,high synchronization overhead,and limited scalability.Foundation models(large pre-trained AI models)offer powerful semantic understanding and reasoning abilities,yet suffer from high training costs,risks of generating hallucinations,and limited interpretability.To address these challenges,this paper proposes an integrated architecture that combines DTN with foundation models,leveraging their complementary strengths.DTN ensures fidelity and domain-specific modeling,and acts as a validation platform to help facilitate the training and verification of network foundation models.Foundation models enable data-driven automation,downstream model generation,and adaptive decision-making.Furthermore,we present use cases related to twin network configuration verification and protocol generation,demonstrating enhanced scalability,efficiency,and intelligence for intelligent networks by bridging foundation models and digital twin.展开更多
Tumor research has undergone a transition from a cancer cell-centered paradigm to a systematic evolutionary perspective.Can-cer is a highly complex disease,and tumor initiation and pro-gression have traditionally been...Tumor research has undergone a transition from a cancer cell-centered paradigm to a systematic evolutionary perspective.Can-cer is a highly complex disease,and tumor initiation and pro-gression have traditionally been interpreted primarily through genetic and molecular alterations within tumor cells.However,with the emergence of systems biology,this"cancer cell-centered"view has gradually evolved into a"systems evolutionary perspec-tive."The most recent theoretical framework in oncology em-phasizes that tumors are dynamic systems comprising multiple cell types and their interactions,highlighting that their evolution reflects system-level remodeling driven by multidimensional sig-naling networks[1].Within this framework,tumor cells,immune cells,stromal cells,and vascular-associated cells form highly in-terconnected regulatory networks through molecular interactions and cell-cell communication.These networks collectively shape tumor initiation,progression,and therapeutic response.Conse-quently,approaches focusing solely on single molecules or indi-vidual cells are unable to sufficiently account for the complexity and dynamic behavior of tumors.展开更多
Quantifying uncertainty in soil constitutive models is both challenging and essential for improving predictive reliability.While the Bayesian approach offers an effective framework for this purpose,previous studies ha...Quantifying uncertainty in soil constitutive models is both challenging and essential for improving predictive reliability.While the Bayesian approach offers an effective framework for this purpose,previous studies have primarily focused on uncertainties in input parameters of standard“ideal”constitutive models.However,models such as the Mohr-Coulomb,Cam-Clay,and Modified Cam-Clay are based on simplified assumptions that do not fully capture real soil behaviour,making it impossible for them to match real-world data perfectly.This study introduces a novel Bayesian-based framework that transforms deterministic models into probabilistic ones,allowing for the quantification of model-inherent uncertainty.A modified maximum a posteriori(MAP)estimator is employed,incorporating a penalty term into the negative log-likelihood to form a new loss function,which enhances bias estimates and model reliability.Using this method,three assumptions about the model bias term are evaluated against triaxial test data from Karlsruhe sand and White clay.The results demonstrate that non-constant assumptions about the bias term significantly enhance model performance.Among the models tested,the probabilistic Modified Cam-Clay model with a nonlinear bias assumption exhibits the best performance.Conversely,the probabilistic Mohr-Coulomb model reveals certain limitations,including overpredicted peak deviatoric stress and overfitted volumetric strain,underscoring the need for further refinements.展开更多
Forming limit diagram (FLD) is an important performance index to describe the maximum limit of principal strains that can be sustained by sheet metals till to the onset of localized necking. It offers a convenient and...Forming limit diagram (FLD) is an important performance index to describe the maximum limit of principal strains that can be sustained by sheet metals till to the onset of localized necking. It offers a convenient and useful tool to predict the forming limit in the sheet metal forming processes. In the present study, FLD has been determined experimentally for Ti?6Al?4V alloy at 400 °C by conducting a Nakazima test with specimens of different widths. Additionally, for theoretical FLD prediction, various anisotropic yield criteria (Barlat 1989, Barlat 1996, Hill 1993) and different hardening models viz., Hollomon power law (HPL), Johnson?Cook (JC), modified Zerilli–Armstrong (m-ZA), modified Arrhenius (m-Arr) models have been developed. Theoretical FLDs have been determined using Marciniak and Kuczynski (M?K) theory incorporating the developed yield criteria and constitutive models. It has been observed that the effect of yield model is more pronounced than the effect of constitutive model for theoretical FLDs prediction. However, the value of thickness imperfection factor (f0) is solely dependent on hardening model. Hill (1993) yield criterion is best suited for FLD prediction in the right hand side region. Moreover, Barlat (1989) yield criterion is best suited for FLD prediction in left hand side region. Therefore, the proposed hybrid FLD in combination with Barlat (1989) and Hill (1993) yield models with m-Arr hardening model is in the best agreement with experimental FLD.展开更多
Over the past several decades,humanized mouse models have undergone significant refinement and become essential tools in biomedical research.Advances in genetic engineering,particularly the targeted knock-in of human ...Over the past several decades,humanized mouse models have undergone significant refinement and become essential tools in biomedical research.Advances in genetic engineering,particularly the targeted knock-in of human cytokines,have enabled robust development and function of human immune cells in these models.Recent breakthroughs-including the directed differentiation of human pluripotent stem cells into thymic epithelial cells and the efficient expansion of hematopoietic stem cells-have alleviated the constraint of scarce human tissue sources.Furthermore,the reconstruction of lymph node structures and successful engraftment of solid organ tissues have significantly improved the efficiency and physiological relevance of human immune system reconstitution.These models now provide a unique plat-form for in vivo studies in cancer immunotherapy,infectious diseases,regenerative medicine,and autoimmune disorders under near-physiological conditions.Beyond rodents,substantial progress in humanized large animals,such as pigs,offers prom-ising avenues for large-scale immune system reconstruction and mass production of immunotherapeutic cells.This review presents a comprehensive overview of the development,optimization,and expanding applications of humanized animal models,highlighting their transformative role in advancing translational medicine.展开更多
基金financial support from the National Natural Science Foundation of China(Grant No.42477193)Technical support from the Dongchuan Debris Flow Observation and Research Station(DDFORS)of the Chinese Academy of Sciences is also acknowledged.
摘要Rigid barriers,e.g.reinforced concrete check dams,are critical for debris-flow hazard mitigation,yet the mechanisms governing overflow dynamics remain poorly understood.This study develops overflow models for dry granular and granular–fluid mixture flows,expressed through the incoming-flow Froude number(Fr1).The models have been verified through flume experiments with water,granular–fluid mixture flows(solid concentrations of 50%,55%,and 60%with viscosities of 0.01 Pa·s and 0.1 Pa·s),and dry granular flows.Results reveal contrasting load behaviors:dry granular flows exhibit static load-dominated regimes with minimal Fr1dependence,which results in lower actual loads than theoretical predictions.Conversely,water and granular–fluid mixture flows display dynamic load dominance,where loads increase with Fr1and measured values show good agreement with theoretical predictions.Flow transitions from hydraulic-jump to jet-up overflow at elevated Fr1,as delineated by a phase diagram.Notably,granular–fluid mixture flows induce continuous mixing with deposited materials behind the barrier,altering load distributions compared to hydrostatic profiles and generating circulation zones that either align or oppose the direction of overflow.This study advances overflow characterization and improves barrier design optimization for enhanced hazard mitigation.
基金the National Natural Science foundation of China(NSFC)(Grants 11632001,11521202,11802344)Natural Science Foundation of Hunan Province,China(Grant 2019JJ50809).
摘要The study of irradiation hardening and embrittlement is critically important for the development of next-generation structural materials tolerant to neutron irradiation,and could dramatically affect the approach to the design of components for advanced nuclear reactors.In addition,a growing interest is observed in the field of research and development of irradiation-resistant materials.This review aims to provide an overview of the theoretical development related to irradiation hardening and embrittlement at moderate irradiation conditions achieved in recent years,which can help extend our fundamental knowledge on nuclear structural materials.After a general introduction to the irradiation effects on metallic materials,recent research progress covering theoretical modelling is summarized for different types of structural materials.The fundamental mechanisms are elucidated within a wide range of temporal and spatial scales.This review closes with the current understanding of irradiation hardening and embrittlement,and puts some perspectives deserving further study.
基金Project supported by the Innovative Research Foundation of China Academy of Engineering Physics(Grant No.426050502-2)
摘要In this paper, the basic equations of beam-wave interaction for designing the 220 GHz folded waveguide (FW) backward wave oscillator (BWO) are described. On the whole, these equations are mainly classified into small signal model (SSM), large signal model (LSM), and simplified small signal model (SSSM). Using these linear and nonlinear one-dimensional (1D) models, the oscillation characteristics of the FW BWO of a given configuration of slow wave struc- ture (SWS) can be calculated by numerical iteration algorithm, which is more time efficient than three-dimensional (3D) particle-in-cell (PIC) simulation. The SSSM expressed by analytical formulas is innovatively derived for determining the initial values of the FW SWS conveniently. The dispersion characteristics of the FW are obtained by equivalent circuit analysis. The space charge effect, the end reflection effect, the lossy wall effect, and the relativistic effect are all considered in our models to offer more accurate results. The design process of the FW BWO tube with output power of watt scale in a frequency range between 215 GHz and 225 GHz based on these 1D models is demonstrated. The 3D PIC method is adopted to verify the theoretical design results, which shows that they are in good agreement with each other.
基金supported by the Ministry Level Project of China
摘要Abstract With the recent products being more reliable, engineers cannot obtain enough failure or degradation information through the design period and even the product lifetime, therefore, accel erated life test (ALT) ihas become the most popular way to quantify the life characteristics of prod ucts. Test design is the most essential topic, such as testing duration, stress profile, data inference, etc. In this paper, a method and procedure based on theoretical life models is proposed to determine the accelerated stress profile. Firstly, the method for theoretical life calculation is put forward based on the main failure mechanism analysis and the theoretical life models. Secondly, the method is pro vided to determine the accelerated stress profile, including the method to determine the accelerated stress types and the stress range on the basis of the main failure mechanism analysis, the method to determine the acceleration factor and the accelerated stress level based on life quantitative calcula tion models, and the collaborative analysis method of the accelerated test time while taking the mul tiple failure mechanisms into consideration. Lastly, the actuator is taken as an example to describe the procedure of the method and the engineering applicability and the validity are verified.
摘要This article aims tomodel and analyze the heat and fluid flow characteristics of a carboxymethyl cellulose(CMC)nanofluid within a convergent-divergent shaped microchannel(Two-dimensional).The base fluid,water+CMC(0.5%),is mixed with CuO and Al2O3 nanoparticles at volume fractions of 0.5%and 1.5%,respectively.The research is conducted through the conjugate usage of experimental and theoretical models to represent more realistic properties of the non-Newtonian nanofluid.Three types of microchannels including straight,divergent,and convergent are considered,all having the same length and identical inlet cross-sectional area.Using ANSYS FLUENT software,Navier-Stokes equations are solved for the laminar flow of the non-Newtonian nanofluid.The study examines the effects of Reynolds number,nanoparticle concentration and type,and microchannel geometry on flow and heat transfer.The results prove that the alumina nanoparticles outperform copper oxide in increasing the Nusselt number at a 0.5% volume fraction,while copper oxide nanoparticles excel at a 1.5%volume fraction.Moreover,in the selected case study,as the Reynolds number increases from 100 to 500,the Nusselt number rises by 56.26% in straight geometry,52.93% in divergent geometry,and 59.10%in convergent geometry.Besides,the Nusselt number enhances by 18.75% when transitioning from straight to convergent geometry at a Reynolds number of 500,and by 19.81%at a Reynolds number of 1000.Finally,the results of the research depict that the use of thermophysical properties derived from the experimental achievements,despite creating complexity in the modeling and the solution method,leads to more accurate and realistic outputs.
基金supported by Chinese Civil Aircraft Project [No. MJ-2017-S49]China National Postdoctoral Program for Innovative Talents [No. BX20200210]China Postdoctoral Science Foundation [No. 2019M660086]。
摘要Axial piston pumps have been widely used in aircraft hydraulic systems to supply the system with pressurized fluid. The continuous improvement of the aircraft performance has put forward the demand on aviation piston pumps for high power density, safety, and reliability. The lubricating interfaces in axial piston machines are the key design issue that greatly determines the pump performance and service life. The cylinder block/valve plate interface is one of these critical lubricating interfaces and has received considerable attention from many researchers in the last half century. This study aims to review the state-of-the-art literature on the cylinder block/valve plate interface comprehensively and systematically. First, we introduce various theoretical models developed to investigate the lubrication behaviors of the interface and compare them in terms of their assumptions and limitations. Second, the experimental studies on the cylinder block/valve plate interface are presented comprehensively, where the involved test rigs are divided into three types according to their fidelity levels and measurement functionality. Third, we summarize some typical approaches of structure optimization, surface shaping, and surface strengthening, which help improve the load-carrying and anti-wear capacities of the interface under severe operating conditions. Finally, the challenges and future trends of the cylinder block/valve plate interface research are discussed briefly.
基金the financial support provided by the National Natural Science Foundation of China(Grant No.42272310).
摘要Cyclic loads generated by environmental factors,such as winds,waves,and trains,will likely lead to performance degradation in pile foundations,resulting in issues like permanent displacement accumulation and bearing capacity attenuation.This paper presents a semi-analytical solution for predicting the axial cyclic behavior of piles in sands.The solution relies on two enhanced nonlinear load-transfer models considering stress-strain hysteresis and cyclic degradation in the pile-soil interaction.Model parameters are calibrated through cyclic shear tests of the sand-steel interface and laboratory geotechnical testing of sands.A novel aspect involves the meticulous formulation of the shaft loadtransfer function using an interface constitutive model,which inherently inherits the interface model’s advantages,such as capturing hysteresis,hardening,degradation,and particle breakage.The semi-analytical solution is computed numerically using the matrix displacement method,and the calculated values are validated through model tests performed on non-displacement and displacement piles in sands.The results demonstrate that the predicted values show excellent agreement with the measured values for both the static and cyclic responses of piles in sands.The displacement pile response,including factors such as bearing capacity,mobilized shaft resistance,and convergence rate of permanent settlement,exhibit improvements compared to non-displacement piles attributed to the soil squeezing effect.This methodology presents an innovative analytical framework,allowing for integrating cyclic interface models into the theoretical investigation of pile responses.
摘要To control the power hierarchy design of lithium-ion battery(LIB)builtup sets for electric vehicles(EVs),we offer intensive theoretical and experimental sets of choice anode/cathode architectonics that can be modulated in full-scale LIB built-up models.As primary structural tectonics,heterogeneous composite superstructures of full-cell-LIB(anode//cathode)electrodes were designed in closely packed flower agave rosettes TiO2@C(FRTO@C anode)and vertical-star-tower LiFePO4@C(VST@C cathode)building blocks to regulate the electron/ion movement in the three-dimensional axes and orientation pathways.The superpower hierarchy surfaces and multi-directional orientation components may create isosurface potential electrodes with mobile electron movements,in-to-out interplay electron dominances,and electron/charge cloud distributions.This study is the first to evaluate the hotkeys of choice anode/cathode architectonics to assemble different LIB-electrode platforms with high-mobility electron/ion flows and high-performance capacity functionalities.Density functional theory calculation revealed that the FRTO@C anode and VST-(i)@C cathode architectonics are a superior choice for the configuration of full-scale LIB built-up models.The integrated FRTO@C//VST-(i)@C full-scale LIB retains a huge discharge capacity(~94.2%),an average Coulombic efficiency of 99.85%after 2000 cycles at 1 C,and a high energy density of 127 Wh kg?1,thereby satisfying scale-up commercial EV requirements.
基金supported by the HK RGC Theme-Based Research Scheme(No.T43-513/23-N)the Pearl River Talent Plan(No.2024QN11X183).
摘要Large Language Models(LLMs)have been playing a transformative role in natural language understanding and generation,yet adapting LLMs to domain-specific and privacy-sensitive data remains challenging under centralized training.Federated Learning(FL)provides a promising alternative by enabling training LLMs collaboratively without sharing raw data.However,integrating FL and LLMs introduces new challenges,including model size,device heterogeneity,non-IID data,and alignment requirements.This survey offers a structured overview of the federated LLM ecosystem.We present a comprehensive taxonomy encompassing system architectures,advanced data strategies for addressing heterogeneity,and retrieval-augmented generation in federated contexts.Additionally,we review efficient adaptation methods that enable LLM tuning on resource-constrained clients and analyze data security and privacy concerns.We conclude by summarizing emerging applications in healthcare,industry,software engineering,and finance,and by outlining open problems and research opportunities for scalable,secure,and responsible federated LLM deployment.
摘要By using the method of literature review, this paper introduces the popular theoretical models which have shown to better explain physical activity behaviors at a certain degree, summarizes the dominating theoretical models in the studies of physical activity behaviors of the elderly in China. In addition, shortcomings and future prospects are pointed out at the end.
摘要Taking the Xinhe mine's structure, mine pressure, structural fissure, fault andfault displacement, the distance between fault and water inrush point, thickness of block,water pressure those geological factors which influenced the water inrush as the independentvariable, based on these data of water inrush point and water uninrush point, usingthe method of quantification theory(Ⅰ,Ⅱ), it would quantitatively disposes the qualitativevariable, applied to calculation to evaluate the risk of Xinhe's water inrush.
基金supported in part by the Hong Kong Research Grant Council(16209023)。
摘要This study explored the transformative potential of artificial intelligence(AI)in addressing the challenges posed by terahertz ultra-massive multiple-input multiple-output(UM-MIMO)systems.It begins by outlining the characteristics of terahertz UM-MIMO systems and identifies three primary challenges for transceiver design:computational complexity,modeling difficulty,and measurement limitations.The study posits that AI provides a promising solution to these challenges.Three systematic research roadmaps are proposed for developing AI algorithms tailored to terahertz UM-MIMO systems.The first roadmap,model-driven deep learning(DL),emphasizes the importance of leveraging available domain knowledge and advocates the adoption of AI only to enhance bottleneck modules within an established signal processing or optimization framework.Four essential steps are discussed:algorithmic frameworks,basis algorithms,loss function design,and neural architecture design.The second roadmap presents channel state information(CSI)foundation models,aimed at unifying the design of different transceiver modules by focusing on their shared foundation,that is,the wireless channel.The training of a single compact foundation model is proposed to estimate the score function of wireless channels,which serve as a versatile prior for designing a wide variety of transceiver modules.Four essential steps are outlined:general frameworks,conditioning,site-specific adaptation,and the joint design of CSI foundation models and model-driven DL.The third roadmap aims to explore potential directions for applying pretrained large language models(LLMs)to terahertz UM-MIMO systems.Several application scenarios are envisioned,including LLM-based estimation,optimization,search,network management,and protocol understanding.Finally,the study highlights open problems and future research directions.
基金National Natural Science Foundation of China,Grant/Award Number:62372316Noncommunicable Chronic Diseases-National Science and Technology Major Project,Grant/Award Number:2024ZD0532900Sichuan Science and Technology Program Key Project,Grant/Award Numbers:2024YFHZ0091,2025YFHZ0066。
摘要Large-scale artificial intelligence(Al)models can mine potential patterns from massive amounts of data and provide more accurate analyses.This capability has enabled its gradual application in various areas of bioinformatics.However,few reviews have comprehensively summarized the applications of different types of large-scale Al models in key areas of bioinformatics.Therefore,we first introduce the concept of large-scale Al models and classify them into three types.Second,we summarize the key methods,applications,and resources of these three types of bioinformatics models.Finally,we discuss challenges and directions for future research.This review provides researchers with a comprehensive perspective to better understand the applications of large-scale Al models in bioinformatics.
基金Project supported by the National High-Technology Research and Development Program of China (Grant No. 863-2001AA644010)
摘要To solve the disability of conventional model used in electrical leak location when measurement electrodes were buried under the liner, a new model of high voltage DC leak detection is developed. For single-liner landfill, the waste material layer, the geomembrane liner and the soil under the liner are simulated with infinite horizontal layers. The leak is regarded as two parts, one being negative current source at the entrance, and the other positive current source of the same size at the exit. Comparisons between the new theoretical model and conventional model show that conventional model is efficient in locating leaks in geomembane liner associating the dipole scanning above the liner but is ineffective when the measurement electrodes were buried under the liner. The new theoretical model data are in excellent agreement with experimental data not only above the liner but also under the liner.
基金supported by National Key R&D Program of China(No.2024YFB2906701).
摘要The increasing complexity of future networks demands intelligent,scalable,and adaptive management solutions.Digital twin network(DTN)provides a high-fidelity replica of the physical network for monitoring and optimization,but faces significant limitations,including complex modeling,high synchronization overhead,and limited scalability.Foundation models(large pre-trained AI models)offer powerful semantic understanding and reasoning abilities,yet suffer from high training costs,risks of generating hallucinations,and limited interpretability.To address these challenges,this paper proposes an integrated architecture that combines DTN with foundation models,leveraging their complementary strengths.DTN ensures fidelity and domain-specific modeling,and acts as a validation platform to help facilitate the training and verification of network foundation models.Foundation models enable data-driven automation,downstream model generation,and adaptive decision-making.Furthermore,we present use cases related to twin network configuration verification and protocol generation,demonstrating enhanced scalability,efficiency,and intelligence for intelligent networks by bridging foundation models and digital twin.
基金National Key Research and Development Program of China,Grant/Award Number:2024YFA1107400CAMS Innovation Fund for Medical Sciences,Grant/Award Numbers:2025-I2M-TS-02,2025-I2M-KJ-003National High Level Hospital Clinical Research Funding,Grant/Award Number:2025-LYZX-D-A02。
摘要Tumor research has undergone a transition from a cancer cell-centered paradigm to a systematic evolutionary perspective.Can-cer is a highly complex disease,and tumor initiation and pro-gression have traditionally been interpreted primarily through genetic and molecular alterations within tumor cells.However,with the emergence of systems biology,this"cancer cell-centered"view has gradually evolved into a"systems evolutionary perspec-tive."The most recent theoretical framework in oncology em-phasizes that tumors are dynamic systems comprising multiple cell types and their interactions,highlighting that their evolution reflects system-level remodeling driven by multidimensional sig-naling networks[1].Within this framework,tumor cells,immune cells,stromal cells,and vascular-associated cells form highly in-terconnected regulatory networks through molecular interactions and cell-cell communication.These networks collectively shape tumor initiation,progression,and therapeutic response.Conse-quently,approaches focusing solely on single molecules or indi-vidual cells are unable to sufficiently account for the complexity and dynamic behavior of tumors.
摘要Quantifying uncertainty in soil constitutive models is both challenging and essential for improving predictive reliability.While the Bayesian approach offers an effective framework for this purpose,previous studies have primarily focused on uncertainties in input parameters of standard“ideal”constitutive models.However,models such as the Mohr-Coulomb,Cam-Clay,and Modified Cam-Clay are based on simplified assumptions that do not fully capture real soil behaviour,making it impossible for them to match real-world data perfectly.This study introduces a novel Bayesian-based framework that transforms deterministic models into probabilistic ones,allowing for the quantification of model-inherent uncertainty.A modified maximum a posteriori(MAP)estimator is employed,incorporating a penalty term into the negative log-likelihood to form a new loss function,which enhances bias estimates and model reliability.Using this method,three assumptions about the model bias term are evaluated against triaxial test data from Karlsruhe sand and White clay.The results demonstrate that non-constant assumptions about the bias term significantly enhance model performance.Among the models tested,the probabilistic Modified Cam-Clay model with a nonlinear bias assumption exhibits the best performance.Conversely,the probabilistic Mohr-Coulomb model reveals certain limitations,including overpredicted peak deviatoric stress and overfitted volumetric strain,underscoring the need for further refinements.
基金The financial support received for this research work from Department of Science and Technology (DST), Government of India, SERB-DST, SR/FTP/ETA0056/2011
摘要Forming limit diagram (FLD) is an important performance index to describe the maximum limit of principal strains that can be sustained by sheet metals till to the onset of localized necking. It offers a convenient and useful tool to predict the forming limit in the sheet metal forming processes. In the present study, FLD has been determined experimentally for Ti?6Al?4V alloy at 400 °C by conducting a Nakazima test with specimens of different widths. Additionally, for theoretical FLD prediction, various anisotropic yield criteria (Barlat 1989, Barlat 1996, Hill 1993) and different hardening models viz., Hollomon power law (HPL), Johnson?Cook (JC), modified Zerilli–Armstrong (m-ZA), modified Arrhenius (m-Arr) models have been developed. Theoretical FLDs have been determined using Marciniak and Kuczynski (M?K) theory incorporating the developed yield criteria and constitutive models. It has been observed that the effect of yield model is more pronounced than the effect of constitutive model for theoretical FLDs prediction. However, the value of thickness imperfection factor (f0) is solely dependent on hardening model. Hill (1993) yield criterion is best suited for FLD prediction in the right hand side region. Moreover, Barlat (1989) yield criterion is best suited for FLD prediction in left hand side region. Therefore, the proposed hybrid FLD in combination with Barlat (1989) and Hill (1993) yield models with m-Arr hardening model is in the best agreement with experimental FLD.
基金National Key R&D Program,Grant/Award Number:2024YFA1107903 and 2021YFA1100700National Natural Science Foundation of China,Grant/Award Number:W2441022。
摘要Over the past several decades,humanized mouse models have undergone significant refinement and become essential tools in biomedical research.Advances in genetic engineering,particularly the targeted knock-in of human cytokines,have enabled robust development and function of human immune cells in these models.Recent breakthroughs-including the directed differentiation of human pluripotent stem cells into thymic epithelial cells and the efficient expansion of hematopoietic stem cells-have alleviated the constraint of scarce human tissue sources.Furthermore,the reconstruction of lymph node structures and successful engraftment of solid organ tissues have significantly improved the efficiency and physiological relevance of human immune system reconstitution.These models now provide a unique plat-form for in vivo studies in cancer immunotherapy,infectious diseases,regenerative medicine,and autoimmune disorders under near-physiological conditions.Beyond rodents,substantial progress in humanized large animals,such as pigs,offers prom-ising avenues for large-scale immune system reconstruction and mass production of immunotherapeutic cells.This review presents a comprehensive overview of the development,optimization,and expanding applications of humanized animal models,highlighting their transformative role in advancing translational medicine.