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Reliability analysis of monotone coherent multi-state systems based on Bayesian networks 认领 引用 被引量：2
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作者 Binghua Song Zhongbao Zhou +2 位作者 Chaoqun Ma Jinglun Zhou Shaofeng Geng 《Journal of Systems Engineering and Electronics》 SCIE CSCD 2016年第6期1326-1335,共10页
The Bayesian networks (BNs) provide a robust probabilistic method of reasoning under uncertainty and have been successfully applied to a variety of real-world tasks. Aiming to explore the capabilities of the BN formal... The Bayesian networks (BNs) provide a robust probabilistic method of reasoning under uncertainty and have been successfully applied to a variety of real-world tasks. Aiming to explore the capabilities of the BN formalism in reliability analysis of monotone coherent multi-state systems, the BNs are compared with a popular tool for reliability analysis of monotone coherent multi-state systems, namely the multi-state fault trees (MFTs). It is shown that any MFT can be directly mapped into BN and the basic inference techniques on the latter may be used to obtain classical parameters computed from the former (i.e. probability distribution of top variable, minimal upper vectors and maximum lower vectors for any performance level, importance measures of components). Furthermore, some additional information can be obtained by using BN, both at the modeling and analysis level. At the modeling level, several restrictive assumptions implicit in the MFT methodology can be removed and various kinds of dependencies among components can be accommodated. At the analysis level, a general diagnostic analysis can be performed. The comparison of these methods is illustrated by an example of the water supply system. © 2016 Beijing Institute of Aerospace Information. 展开更多
关键词 Bayesian networks Probability distributions Reliability Reliability theory Vectors Water supply Water supply systems
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Engineered Radiative Cooling Systems for Thermal-Regulating and Energy-Saving Applications 认领 引用 被引量：2
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作者 Leqi Lei Ting Wu +8 位作者 Shuo Shi Yifan Si Chuanwei Zhi Kaisong Huang Jieqiong Yang Xinshuo Liang Shanshan Zhu Jinping Qu Jinlian Hu 《Nano-Micro Letters》 SCIE EI CAS CSCD 2026年第1期509-544,共36页
Radiative cooling systems(RCSs)possess the distinctive capability to dissipate heat energy via solar and thermal radiation,making them suitable for thermal regulation and energy conservation applications,essential for... Radiative cooling systems(RCSs)possess the distinctive capability to dissipate heat energy via solar and thermal radiation,making them suitable for thermal regulation and energy conservation applications,essential for mitigating the energy crisis.A comprehensive review connecting the advancements in engineered radiative cooling systems(ERCSs),encompassing material and structural design as well as thermal and energy-related applications,is currently absent.Herein,this review begins with a concise summary of the essential concepts of ERCSs,followed by an introduction to engineered materials and structures,containing nature-inspired designs,chromatic materials,meta-structural configurations,and multilayered constructions.It subsequently encapsulates the primary applications,including thermal-regulating textiles and energy-saving devices.Next,it highlights the challenges of ERCSs,including maximized thermoregulatory effects,environmental adaptability,scalability and sustainability,and interdisciplinary integration.It seeks to offer direction for forthcoming fundamental research and industrial advancement of radiative cooling systems in real-world applications. 展开更多
关键词 Radiative cooling systems Engineered materials Thermal-regulating Energy-saving Smart applications
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Proportional-Integral Observer Design for Multi-Rate Systems Under Decode-and-Forward Relays:Tackling Power-Dependent Packet Dropouts 认领 引用
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作者 Di Zhao Zidong Wang +2 位作者 Derui Ding Qing-Long Han Guoliang Wei 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2026年第7期1558-1571,共14页
In this paper,the problem of proportional-integral observer(PIO)design is investigated for a class of discrete-time multi-rate systems with multiple sensors,with the sensor sampling periods being allowed to differ fro... In this paper,the problem of proportional-integral observer(PIO)design is investigated for a class of discrete-time multi-rate systems with multiple sensors,with the sensor sampling periods being allowed to differ from the system updating periods.The facilitation of communication between sensors and the remote PIO through wireless networks,which are subject to probabilistic packet dropouts,is achieved through the utilization of a decode-and-forward relay-based strategy.The occurrence of packet dropouts is governed by a Bernoulli-distributed random variable whose probability is dependent on the available transmission power.A decode-and-forward relay-based strategy,developed based on different components,is capable of processing information from different encoders at different physical locations.For the convenience of observer design,the lifting technique is employed with aim to cast the multi-rate system into a single-rate one.By establishing sufficient conditions,the combined effect of external noises and relaying-aided communication on estimation performance is intuitively illustrated.Subsequently,a PIO with an adjustable parameter is designed by solving certain optimization problems.A simulation example is finally provided to validate the theoretical results. 展开更多
关键词 Decode-and-forward relay multi-rate systems networked systems proportional-integral observer design power-dependent packet dropouts
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Sensor Fusion Models in Autonomous Systems:A Review 认领 引用
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作者 Sangeeta Mittal Chetna Gupta Varun Gupta 《Computers, Materials & Continua》 SCIE EI 2026年第4期226-257,共32页
This survey presents a comprehensive examination of sensor fusion research spanning four decades,tracing the methodological evolution,application domains,and alignment with classical hierarchical models.Building on th... This survey presents a comprehensive examination of sensor fusion research spanning four decades,tracing the methodological evolution,application domains,and alignment with classical hierarchical models.Building on this long-term trajectory,the foundational approaches such as probabilistic inference,early neural networks,rulebasedmethods,and feature-level fusion established the principles of uncertainty handling andmulti-sensor integration in the 1990s.The fusion methods of 2000s marked the consolidation of these ideas through advanced Kalman and particle filtering,Bayesian–Dempster–Shafer hybrids,distributed consensus algorithms,and machine learning ensembles for more robust and domain-specific implementations.From 2011 to 2020,the widespread adoption of deep learning transformed the field driving some major breakthroughs in the autonomous vehicles domain.A key contribution of this work is the assessment of contemporary methods against the JDL model,revealing gaps at higher levels-especially in situation and impact assessment.Contemporary methods offer only limited implementation of higher-level fusion.The survey also reviews the benchmark multi-sensor datasets,noting their role in advancing the field while identifying major shortcomings like the lack of domain diversity and hierarchical coverage.By synthesizing developments across decades and paradigms,this survey provides both a historical narrative and a forward-looking perspective.It highlights unresolved challenges in transparency,scalability,robustness,and trustworthiness,while identifying emerging paradigms such as neuromorphic fusion and explainable AI as promising directions.This paves the way forward for advancing sensor fusion towards transparent and adaptive next-generation autonomous systems. 展开更多
关键词 Sensor fusion autonomous systems artificial intelligence machine learning sensor data integration intelligent systems
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An index for characterizing bioavailability and risk of metals in soil-vegetable systems 认领 引用
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作者 Lanqin YANG Yuechen YU +2 位作者 Yuanming WANG Biao HUANG Wenyou HU 《Pedosphere》 SCIE CAS CSCD 2026年第1期358-362,共5页
Dear Editor,With the growing food demands and the rapid development of intensive vegetable cultivation,the vegetable yield and planting area have increased to 230 million tons and 2.13 million hectares,respectively,in... Dear Editor,With the growing food demands and the rapid development of intensive vegetable cultivation,the vegetable yield and planting area have increased to 230 million tons and 2.13 million hectares,respectively,in China in 2021(MARAPRC,2023). 展开更多
关键词 metals bioavailability risk soil vegetable systems intensive vegetable cultivationthe
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Finite-Time Sliding-Mode Control for Semi-Markov Systems With Delayed Impulses 认领 引用 被引量：1
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作者 Fangmin Ren Xiaoping Wang +1 位作者 Yangmin Li Zhigang Zeng 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2026年第3期740-742,共3页
Dear Editor,This letter concerns the design of sliding mode control(SMC)for semi-Markov switching systems with time-varying transmission and impulse delay.The difficulties of this problem are:1)Time-varying transmissi... Dear Editor,This letter concerns the design of sliding mode control(SMC)for semi-Markov switching systems with time-varying transmission and impulse delay.The difficulties of this problem are:1)Time-varying transmission and impulse delay bring more nonlinear dynamic characteristics and lag effects;2)Semi-Markov mode switching introduces uncertainty;3)The reachable stage and sliding stage are affected by two types of impulses in the system,which increases the complexity of theoretical derivation. 展开更多
关键词 finite time sliding mode control sliding mode control smc semi Markov systems lag effects semi markov reachable stage sliding stage theoretical derivation impulse delay time varying transmission
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Privacy-preserving average consensus for multi-agent systems based on edge decomposition 认领 引用
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作者 Zengwang JIN Qian LI +2 位作者 Biyun SHENG Changyin SUN Zhen WANG 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2026年第5期451-465,共15页
This paper studies the problem of privacy preservation in achieving the average consensus of dynamic Multi-Agent Systems(MAS).Average consensus performs an essential role in dynamic MAS to promote collaboration,coordi... This paper studies the problem of privacy preservation in achieving the average consensus of dynamic Multi-Agent Systems(MAS).Average consensus performs an essential role in dynamic MAS to promote collaboration,coordinate decision-making,resolve conflicts,and enhance system reliability.The process of achieving average consensus requires the information exchange between agents,which raises concerns about sensitive data leakage.To address this issue,we propose a novel algorithm that combines state decomposition with edge characteristics in network topology to protect the critical data during the average consensus process.Specifically,the original state of each agent is decomposed into|Ni|+1 substates,where|Ni|represents the number of neighboring nodes.For each agent,the public substate performs the function of the original state to participate in computation and interaction between other agents,while the private parts only interact with the first one of the same agent and keep invisible to other agents.Unlike other approaches that focus solely on the privacy preservation of agents'initial state information,this paper extends to dynamic state of agents at every moment.Next,rigorous proofs of the accuracy in average consensus are provided.Furthermore,it is shown that privacy can be protected by employing our algorithm if agent i has at least one neighbor who is not an honest-but-curious agent.As for external eavesdroppers,a sufficient condition is presented that the state information is not estimated with any guaranteed accuracy.Finally,numerical simulations are presented to verify the effectiveness of our approach. 展开更多
关键词 Multi-agent systems Privacy-preserving mechanism Average consensus Network topology Edge decomposition
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Introduction to the Special Issue on Advanced Artificial Intelligence and Machine Learning Methods Applied to Energy Systems 认领 引用
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作者 Wei-Chiang Hong Yi Liang 《Computer Modeling in Engineering & Sciences》 SCIE EI 2026年第3期29-33,共5页
Diverse energy and power systems have been playing a significantly critical role in the revolution of sustainable energy supply for the future,which have a great impact on energy resources and efficiencies.Due to the ... Diverse energy and power systems have been playing a significantly critical role in the revolution of sustainable energy supply for the future,which have a great impact on energy resources and efficiencies.Due to the emerging artificial intelligence and machine learning,traditional modeling techniques in these energy systems have met challenges in still leveraging physics model and first principle-based approaches.Moreover,with the rapid development of hardware and computing techniques,new modeling approaches for energy systems have become more and more important for system design,integration,analysis,control,and management. 展开更多
关键词 energy power systems modeling techniques physics model energy resources machinelearning machine learningtraditional energy systems artificialintelligence
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Dual-Mode Data-Driven Iterative Learning Control:Applications in Precision Manufacturing and Intelligent Transportation Systems 认领 引用
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作者 Lei Wang Menghan Wei +3 位作者 Ziwei Huangfu Shunjie Zhu Xuejian Ge Zhengquan Li 《Computers, Materials & Continua》 SCIE EI 2026年第2期153-184,共32页
Iterative Learning Control(ILC)provides an effective framework for optimizing repetitive tasks,making it particularly suitable for high-precision applications in both precision manufacturing and intelligent transporta... Iterative Learning Control(ILC)provides an effective framework for optimizing repetitive tasks,making it particularly suitable for high-precision applications in both precision manufacturing and intelligent transportation systems(ITS).This paper presents a systematic review of ILC's developmental progress,current methodologies,and practical implementations across these two critical domains.The review first analyzes the key technical challenges encountered when integrating ILC into precision manufacturing workflows.Through case studies,it evaluates demonstrated improvements in positioning accuracy,surface finish quality,and production throughput.Furthermore,the study examines ILC’s applications in ITS,with particular focus on vehicular motion control applications including autonomous vehicle trajectory tracking,platoon coordination,and traffic signal timing optimization,where its data-driven characteristics enhance adaptability to dynamic environments.Finally,the paper proposes targeted future research directions that are essential for fully realizing ILC’s potential in advancing these interconnected yet distinct fields. 展开更多
关键词 Iterative learning control systematic review precisionmanufacturing intelligent transportation systems
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Funnel control for lower-triangular nonlinear systems with singular input-output links:Theory and experimental validation 认领 引用
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作者 Yufa LIU Xiangru CAI +5 位作者 Hai LIU Jie TAO Ming LIN Yonghua LIU Chunyi SU Renquan LU 《Science China(Technological Sciences)》 SCIE EI CAS CSCD 2026年第7期250-262,共13页
This study investigates the output tracking control problem with prescribed transient performance for lower-triangular nonlinear systems in the presence of unknown nonlinearities.Unlike existing approaches,the lower-t... This study investigates the output tracking control problem with prescribed transient performance for lower-triangular nonlinear systems in the presence of unknown nonlinearities.Unlike existing approaches,the lower-triangular nonlinear systems under consideration exhibit singular input-output links,which are inherently not feedback linearizable.This general characteristic renders conventional techniques,such as integrator backstepping and the method of adding one power integrator,inapplicable.To overcome this challenge,a novel funnel control scheme is proposed,integrating bilateral barrier functions(BBFs)with the definition of a limit.Within this framework,BBFs ensure that the output tracking performance satisfies predefined transient specifications despite unknown nonlinearities,while the definition of a limit effectively handles difficulties arising from singular input-output links.A distinctive feature of the proposed method is its capability to accommodate control coefficients that cross zero during system evolution,a feature not supported by existing techniques.The effectiveness and practical applicability of the proposed method are demonstrated through numerical simulations and real-time experiments on a Franka Emika Panda robotic arm. 展开更多
关键词 lower-triangular nonlinear systems feedback linearizable funnel control bilateral barrier functions
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A Hierarchical Attention Framework for Business Information Systems:Theoretical Foundation and Proof-of-Concept Implementation 认领 引用
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作者 Sabina-Cristiana Necula Napoleon-Alexandru Sireteanu 《Computers, Materials & Continua》 SCIE EI 2026年第2期2055-2088,共34页
Modern business information systems face significant challenges in managing heterogeneous data sources,integrating disparate systems,and providing real-time decision support in complex enterprise environments.Contempo... Modern business information systems face significant challenges in managing heterogeneous data sources,integrating disparate systems,and providing real-time decision support in complex enterprise environments.Contemporary enterprises typically operate 200+interconnected systems,with research indicating that 52% of organizations manage three or more enterprise content management systems,creating information silos that reduce operational efficiency by up to 35%.While attention mechanisms have demonstrated remarkable success in natural language processing and computer vision,their systematic application to business information systems remains largely unexplored.This paper presents the theoretical foundation for a Hierarchical Attention-Based Business Information System(HABIS)framework that applies multi-level attention mechanisms to enterprise environments.We provide a comprehensive mathematical formulation of the framework,analyze its computational complexity,and present a proof-of-concept implementation with simulation-based validation that demonstrates a 42% reduction in crosssystem query latency compared to legacy ERP modules and 70% improvement in prediction accuracy over baseline methods.The theoretical framework introduces four hierarchical attention levels:system-level attention for dynamic weighting of business systems,process-level attention for business process prioritization,data-level attention for critical information selection,and temporal attention for time-sensitive pattern recognition.Our complexity analysis demonstrates that the framework achieves O(n log n)computational complexity for attention computation,making it scalable to large enterprise environments including retail supply chains with 200+system-scale deployments.The proof-of-concept implementation validates the theoretical framework’s feasibility withMSE loss of 0.439 and response times of 0.000120 s per query,demonstrating its potential for addressing key challenges in business information systems.This work establishes a foundation for future empirical research and practical implementation of attention-driven enterprise systems. 展开更多
关键词 Attention mechanisms business information systems theoretical framework enterprise architecture complex systems hierarchical attention
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Adaptive Learned Index Construction with Sliding Windows for High-Throughput Blockchain Systems 认领 引用
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作者 Jun Qi Chao Yang +4 位作者 Xinliu Wang Junyou Yang Haixin Wang Huaqin Chen Zhenyan Li 《Computers, Materials & Continua》 SCIE EI 2026年第6期1526-1556,共31页
With the diversification of electricity trading forms driven by distributed energy technologies,the continuous growth of blockchain’s chained data structure poses dual challenges to traditional B+tree indexes in term... With the diversification of electricity trading forms driven by distributed energy technologies,the continuous growth of blockchain’s chained data structure poses dual challenges to traditional B+tree indexes in terms of query efficiency and storage costs.This paper proposes a sliding window-based learned index construction method(SW-LI).The method consists of two key components.First,block timestamp-height samples are selected using a sliding window and used to train a linear regression model that captures the timestamp-to-height mapping.Second,an adaptive window adjustment mechanism is introduced:when the prediction error within a window exceeds a threshold,the window is contracted to improve local fitting accuracy;otherwise,it is expanded to accelerate global index construction.Together,these components dynamically balance model accuracy and training efficiency.Experimental results demonstrate that when the block count increases from 5000 to 25,000,SW-LI improves index construction efficiency by 69.22%-88.22%compared to Anole.Under a 10,000-block scale,its prediction error is reduced by an average of 80%compared to Sliding Window Search-enhanced Online Gradient Descent(SWS-OGD),with a storage overhead of only 60 KB(25,000 blocks),validating the method’s ability to maintain query accuracy while significantly enhancing indexing efficiency.When the block contains 4000 transactions,the average total query latency of SW-LI is 46.15%lower than that of Anole,which is only 2.7%of the average query latency of SWS-OGD(i.e.,approximately 37 times faster). 展开更多
关键词 Blockchain systems learned index sliding window adaptive adjustment query efficiency
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Photonic simulation of disordered spin systems on a silicon chip 认领 引用
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作者 Alif Laila Muthali Patrik Isene Sund +11 位作者 Carlos F.D.Faurby Çağın Ekici Jeremy C.Adcock Jasper Glindemann Gennaro Zanfardino Luca Leuzzi Raffaele Santagati Fabrizio Illuminati Giancarlo Ruocco Marco Leonetti Stefano Paesani Yunhong Ding 《Advanced Photonics Nexus》 CSCD 2026年第2期15-21,共7页
The ability to simulate physical systems is essential for an understanding of their physical properties and advancing related technologies.However,simulating certain complex systems at scale,including many-body spin m... The ability to simulate physical systems is essential for an understanding of their physical properties and advancing related technologies.However,simulating certain complex systems at scale,including many-body spin models,is often a significant challenge for conventional computing approaches.Quantum simulators,employing controlled quantum systems that mimic the dynamics of a target system,can offer a more efficient approach.This work demonstrates the use of photonic circuits for quantum simulation of disordered spin systems,where quantum properties such as superposition and interference can be leveraged for a more efficient simulation.We fabricate and characterize a low-loss silicon-on-insulator chip with a buried aluminum mirror and a reconfigurable interferometer,which is employed in conjunction with two input photons to map the dynamics of a spin Hamiltonian with four-body interactions.Our results demonstrate several characteristics associated with the target system,such as spin-degenerate ground states and phase transitions,confirming the device's functionality as a quantum simulator of the spin system. 展开更多
关键词 quantum simulation silicon photonics disordered spin systems integrated quantum photonics
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Thiosulfate leaching of gold:An review on novel catalytic systems 认领 引用
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作者 Qian LI Yue-hong ZHU +4 位作者 Yan ZHANG Xiao-liang LIU Shu-yi QIAO Yong-bin YANG Tao JIANG 《Transactions of Nonferrous Metals Society of China》 SCIE EI CAS CSCD 2026年第4期1294-1319,共26页
Eco-friendly thiosulfate is a promising alternative to the high-toxic cyanide for gold extraction with copper-ammonia catalytic system being the most popular.However,the copper-ammonia catalysis causes the issues of h... Eco-friendly thiosulfate is a promising alternative to the high-toxic cyanide for gold extraction with copper-ammonia catalytic system being the most popular.However,the copper-ammonia catalysis causes the issues of high thiosulfate consumption,complex gold recovery process and ammonia pollution.An effective strategy to tackle these issues is to improve or replace the copper-ammonia system with a novel catalytic system(NCS).Various NCSs are classified and their current status and future prospectives are reviewed.The critical constituent factors of NCSs are summarized.The noteworthy developing trends of potential NCSs are also discussed.Furthermore,besides resin adsorption,other recovery methods such as solvent extraction deserve more attention to achieve selective gold recovery.Crucial insights into developing suitable NCSs to solve the existing challenges in the current thiosulfate leaching technology once and for all are offered,thus promoting its large-scale industrial application. 展开更多
关键词 gold non-cyanide gold lixiviant thiosulfate leaching novel catalytic systems transitional metal catalysis
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Bounded Control Gain Based Prescribed-Time Consensus of General Linear Multi-Agent Systems With Controllable Agent Dynamics 认领 引用
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作者 Hongpeng Li Xinchun Jia +1 位作者 Xiaobo Chi Yanpeng Guan 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2026年第4期903-912,共10页
In this paper,the bounded control gain based prescribed-time(Pre-T)consensus problem for general linear multiagent systems(MASs)with controllable agent dynamics is addressed.First,an observer with Pre-T performance is... In this paper,the bounded control gain based prescribed-time(Pre-T)consensus problem for general linear multiagent systems(MASs)with controllable agent dynamics is addressed.First,an observer with Pre-T performance is designed for each agent to estimate the leader's state within a prescribed time.Then,based on the estimated states,a Pre-T switching controller integrating a bounded control gain is developed by employing a special coordinate transformation in combination with the backstepping technique,under the assumption that the agents'system matrix pair is controllable.It is shown that the proposed controller enables general linear MASs to achieve the Pre-T consensus independently of the agents'initial conditions and control parameters.Notably,the controller eliminates the numerical implementation problem associated with unbounded control gains,without compromising the consensus performance.The proposed approach is further applied to high-order singleinput MASs to demonstrate its broader applicability.Finally,a simulation example validates the effectiveness of both the proposed observer and the Pre-T switching controller. 展开更多
关键词 Bounded control gain multi-agent systems (MASs) prescribed-time (Pre-T) consensus switching controller
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Statistical complexity and stochastic resonance in bistable coupled network systems excited by non-Gaussian noise 认领 引用
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作者 Meijuan He Lingyun Li +1 位作者 Wantao Jia Jiangang Zhang 《Chinese Physics B》 SCIE EI CAS CSCD 2026年第3期228-235,共8页
This study investigates stochastic resonance(SR)phenomena in bistable coupled networks driven by non-Gaussian noise.Employing signal-to-noise ratio(SNR)and statistical complexity as quantitative metrics,we characteriz... This study investigates stochastic resonance(SR)phenomena in bistable coupled networks driven by non-Gaussian noise.Employing signal-to-noise ratio(SNR)and statistical complexity as quantitative metrics,we characterize the SR behavior.First,the dimensionality of a coupled network system is reduced via the mean field theory.Subsequently,we derive closed-form analytical expressions of SNR by the path integral method,the slaving principle and the two-state model theory.Numerical simulations are used to validate the consistency between SR features identified through statistical complexity and those obtained via SNR calculations,thereby corroborating the reliability of our analytical framework.Both theoretical and numerical results conclusively demonstrate the occurrence of SR in the network system.Parametric analyses further elucidate the modulation of SR characteristics by three critical factors:non-Gaussian noise intensity parameters,noise correlation timescale and inter-node coupling strength.Finally,we explore the system's size resonance properties. 展开更多
关键词 non-Gaussian noise bistable coupled network systems statistical complexity measure stochastic resonance
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Natural Frequency-Based Sensitivity Analysis of Pipe Systems with Uncertain Clamp Stiffness and Position Parameters 认领 引用
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作者 Yan Shi Xin Wang +3 位作者 Yi Wang Bingfeng Zhao Shang Ren Xufang Zhang 《Computer Modeling in Engineering & Sciences》 SCIE EI 2026年第3期362-387,共26页
This paper introduces a computationally efficient global sensitivity analysis method for quantifying the influence of uncertain clamp support conditions on the natural frequencies of aero-engine pipe systems.The dynam... This paper introduces a computationally efficient global sensitivity analysis method for quantifying the influence of uncertain clamp support conditions on the natural frequencies of aero-engine pipe systems.The dynamic model is based on a three-dimensional Timoshenko beam finite element formulation,with clamps represented as distributed spring elements possessing anisotropic stiffness.To overcome the prohibitive cost of traditional Monte Carlo simulation,the multiplicative dimensional reduction method(M-DRM)is integrated with variance decomposition theory.This approach approximates the high-dimensional frequency response function as a product of univariate components,enabling rapid computation of Sobol’sensitivity indices with a computational cost reduced by three orders of magnitude.Numerical case studies on a planar Z-shaped pipe and a spatial series-parallel configuration reveal that clamp position parameters dominate the system’s natural frequency characteristics.For critical clamps,Sobol’indices exceed 0.8 across multiple vibration modes,whereas stiffness parameters exhibit negligible influence.The proposed methodology provides a rigorous and efficient tool for identifying dominant uncertainty sources,guiding tolerance allocation in manufacturing,and informing robust support design for vibration-sensitive piping systems. 展开更多
关键词 Natural frequencies multiplicative dimensionality reduction method sobol’index clamp-pipe systems
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Development of bacterial sonosensitizer hybrid systems to enhance cancer sono-immunotherapy 认领 引用
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作者 Haiyan Guo Yuhan Li +5 位作者 Xue Chen Xiuru Ji Zeyang Liu Hongjing Jiang Han Wang Dalong Ni 《Acta Pharmaceutica Sinica B》 SCIE CAS CSCD 2026年第6期3920-3933,共14页
Microorganisms can activate anti-tumor immune responses via the innate immune system.However,this immune effect lacks specificity,and prolonged stimulation by live bacterial colonization may lead to immune tolerance.S... Microorganisms can activate anti-tumor immune responses via the innate immune system.However,this immune effect lacks specificity,and prolonged stimulation by live bacterial colonization may lead to immune tolerance.Sonodynamic therapy triggers cellular death and lysis,fully activating the antigen presentation process by providing heterologous DNA and tumor antigen in situ.Herein,to enhance the immunological effect facilitated by ultrasonic treatment,a manganese-containing porphyrin-based metal-organic framework(Mn-MOF)was modified as an acoustic sensitizer on the surface of Escherichia coli to form bacterial sonosensitizer hybrid systems(HA@Mn-MOF@E).Importantly,HA@Mn-MOF@E was able to target and colonize 4T1 tumors due to the anoxic tendency of anaerobes.The ultrasound-induced bacterial and tumor cell death and released manganese could activate macrophages and dendritic cells(DCs)through the activation of the cGAS-STING pathway,which increased the proportion of CD3+T cells and M1/M2 ratio within the tumor,as well as CD8+effector T cells and CD86+DCs in lymph nodes.By sono-sensitized immunotherapy,HA@Mn-MOF@E was demonstrated to inhibit orthotopic 4T1 tumor progression and induce tumor necrosis effectively.Such a designed bacterial sonosensitizer hybrid system offered the possibility of using sonodynamic assistance to sensitize live microorganisms-induced immunotherapy,with thorough activation of the antigen presentation in the tumor. 展开更多
关键词 Bacteria Sonosensitizer Bacterial sonosensitizer hybrid systems Live delivery system Sono-immunotherapy cGAS-STING pathway Antigen-presentation Breast cancer
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Integrating Nuclear Medicine Services Into Health Care Systems in Low-and Middle-Income Countries:A Review of Challenges and Innovations 认领 引用
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作者 Biruk Demisse Ayalew Saim Mahmood Khan +10 位作者 Helina KTeklehaimanot Zebeaman Tibebu Gorfu Biniyam Jemaneh Batu Zemichael Getu Alemayehu Brook Lelisa Sime Eyerusalem Kebede Zewde Temesgen Mamo Sharew Muhidin Ibrahim Hundisa Yeamlak Tariku Tewodros Jawairya Muhammad Hussain Barina Khan 《iRADIOLOGY》 CSCD 2026年第1期3-12,共10页
The burden of noncommunicable diseases is increasing rapidly in low-and middle-income countries creating a growing need for advanced diagnostic and therapeutic modalities.Nuclear medicine offers great potential in dis... The burden of noncommunicable diseases is increasing rapidly in low-and middle-income countries creating a growing need for advanced diagnostic and therapeutic modalities.Nuclear medicine offers great potential in disease detection,treatment planning,and monitoring,yet its integration into resource-limited health systems remains challenging.This review synthesizes evidence from peer-reviewed publications and relevant reports from international agencies to examine barriers to,and enablers of,nuclear medicine adoption in these settings.We found that key obstacles include financial constraints,restricted access to essential materials,insufficient regulatory frameworks,and shortages of skilled professionals.These gaps contribute to safety concerns,inadequate waste management,and delays in service delivery.Although global initiatives have strengthened workforce training and promoted regulatory harmonization,persistent issues in financial sustainability and retention of trained staff hinder progress.Technological advances,such as novel imaging and therapeutic approaches,present opportunities;however,their successful implementation requires context-specific strategies that align with local infrastructure and policy realities.Integrating nuclear medicine into health systems in low-resource environments can address multiple health care priorities simultaneously,but this will require targeted investment,sustainable financing mechanisms,and strengthened institutional capacity.Collaborative international support,coupled with locally adapted policies,could accelerate equitable access and improve patient outcomes.Expanding the role of nuclear medicine in these regions has the potential to significantly enhance health care delivery and contribute to closing the global disparity in advanced medical services. 展开更多
关键词 health systems low and middle income countries nuclear medicine theranostics
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Adaptive distributed optimization of high-order nonlinear multi-agent systems with predefined accuracy under state observer 认领 引用
20
作者 Xiao-Wen Zhao Tong Shu +2 位作者 Deng-Hao Pang Tao Li Mei Yao 《Chinese Physics B》 SCIE EI CAS CSCD 2026年第3期236-247,共12页
This paper discusses adaptive distributed optimization with predefined accuracy for high-order nonlinear multi-agent systems(MASs)that are subject to disturbances and nonlinear uncertainties.To estimate the global opt... This paper discusses adaptive distributed optimization with predefined accuracy for high-order nonlinear multi-agent systems(MASs)that are subject to disturbances and nonlinear uncertainties.To estimate the global optimal solution in realtime,a distributed proportional-integral optimization technique is used to generate a virtual system for each agent.For the unknown control gain of the controller,the Nussbaum function is employed.Then,a fuzzy adaptive observer is designed to estimate the unmeasured state by leveraging the general approximation capabilities of fuzzy logic systems.Using the Lyapunov stability method and backstepping technique,we develop the adaptive law and a new distributed controller.This ensures that the outputs of multi-agent systems converge to optimal values.Finally,a simulation example is used to confirm the viability of the presented control mechanism. 展开更多
关键词 distributed optimization nonlinear multi-agent systems(MASs) fuzzy state observer predefined accuracy control
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