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Research on Multi-dimensional Collaborative Perception and Intelligent Operation & Maintenance Optimization of Urban Rail Transit Pantograph-Catenary System 认领 引用
1
作者 LI Liang 《外文科技期刊数据库（文摘版）工程技术》 2026年第1期111-115,共5页
The pantograph-catenary system is the core of power transmission for urban rail transit trains, and its operating status determines the safety of train power supply and line operation. Aiming at the problems of tradit... The pantograph-catenary system is the core of power transmission for urban rail transit trains, and its operating status determines the safety of train power supply and line operation. Aiming at the problems of traditional pantograph-catenary operation and maintenance relying on manual work, delayed response and single monitoring dimension, this paper takes the project of Nanchang Metro Line 4 as the carrier to explore the integration path of trackside fixed and vehicle-mounted mobile monitoring technologies, and construct a multi-dimensional collaborative perception and monitoring system. It analyzes the architecture and characteristics of the two types of monitoring equipment, carries out accuracy verification, efficiency analysis and value evaluation combined with the measured data from October 2024 to August 2025, reveals the technical bottlenecks and puts forward optimization schemes. The research shows that the system can realize minute-level detection and meter-level positioning of pantograph-catenary faults, with a fault identification accuracy of over 95%, optimize the carbon skateboard replacement cycle by 15%, and reduce operation and maintenance costs by 10%. It provides support and paradigm for preventive operation and maintenance, and improves the intelligence and safety guarantee capability of pantograph-catenary operation and maintenance 展开更多
关键词 urban rail transit pantograph-catenary system collaborative perception intelligent operation and maintenance data fusion fault early warning
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Distribution network data asset protection considering multiple topology and multi-dimensional knowledge graph 认领 引用
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作者 Junfeng Yang Li Liu +5 位作者 Nawaraj Kumar Mahato Luhan Li Jiaxuan Yang Gangjun Gong Jun Lu Chao Yang 《Global Energy Interconnection》 EI CSCD 2026年第3期585-610,共26页
The proliferation of diverse entities within distribution network has led to an increase in the scale and complexity of data asset interactions,exacerbating security risks,such as unauthorized access,data tampering,an... The proliferation of diverse entities within distribution network has led to an increase in the scale and complexity of data asset interactions,exacerbating security risks,such as unauthorized access,data tampering,and forgery.In response to these challenges,this study introduces a novel framework that enhances the protection of data assets.It incorporates a multi-dimensional knowledge graph(MDKG)to refine access control and overcome current limitations by integrating a comprehensive set of data asset attributes,roles,policies,and permissions.This approach fosters the development of a nuanced and adaptable access-control mechanism.Furthermore,the framework integrates multiple topology(MTP)for holistic security risk detection,leveraging attention mechanisms,and cross-fusion to adapt to the dynamic data security landscape.Empirical evaluations affirm the effectiveness of MDKG-based access control,whereas comparative experiments demonstrate the superiority of the MTP-based security risk model over existing models.The framework was proven to be effective in countering security risks.This study provides innovative perspectives on data asset protection and establishes a solid foundation for the advancement of smart grid technology. 展开更多
关键词 Distribution network Data asset protection Security access control Multi-dimensional knowledge graph Multiple topology Security risk detection
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Moderating effects of interprofessional collaboration on the relationship between moral sensitivity and job satisfaction among nursing assistants:A cross-sectional study 认领 引用
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作者 Takehiko Toyosato Anju Arakaki +2 位作者 Kumiko Motonaga Chikako Maeshiro Michita Tokeshi 《International Journal of Nursing Sciences》 CSCD 2026年第2期164-171,共8页
Objectives:This study aimed to examine the moderating effect of interprofessional collaboration(IPC)on the association between moral sensitivity and job satisfaction among nursing assistants(NAs)in Japan.Methods:A cro... Objectives:This study aimed to examine the moderating effect of interprofessional collaboration(IPC)on the association between moral sensitivity and job satisfaction among nursing assistants(NAs)in Japan.Methods:A cross-sectional survey was conducted.We recruited 375 NAs using a convenient sampling method from 14 hospitals in Okinawa,Japan,from June to July 2024.Data were collected using a self-administered questionnaire including demographic and work-related variables,the 20-item short form of the Minnesota Satisfaction Questionnaire,the Japanese version of the Revised Moral Sensitivity Questionnaire,and the 24-item Revised Otsuka Interprofessional Work Competency Scale.Hierarchical multiple regression analysis and simple slope analysis were used to investigate moderating effects.Results:The mean scores for job satisfaction and IPC were 59.50±10.86 and 52.75±15.08,respectively.The mean scores for moral responsibility,moral strength,and sense of moral burden were 7.38±1.49,11.43±2.85,and 16.60±3.42,respectively.Job satisfaction was positively correlated with IPC(r=0.31,P0.05).Hierarchical multiple regression analysis revealed that moral strength(β=0.25,P<0.001)and sense of moral burden(β=0.21,P=0.003)significantly associated with job satisfaction.A significant interaction effect was observed between sense of moral burden and IPC(β=0.13,P=0.022).A simple slope analysis revealed that at high levels of IPC,sense of moral burden was positively associated with job satisfaction(P<0.001).Conclusions:A sense of moral burden may enhance job satisfaction when supported by strong IPC.Enhancing both moral sensitivity and IPC may improve job satisfaction among NAs and support patient-centered care in Japan’s rapidly aging society. 展开更多
关键词 Aging Interprofessional collaboration Job satisfaction Nursing assistants Moral sensitivity
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Rethinking engineering management for human‑robot collaboration from technological and social perspectives 认领 引用
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作者 Chao MAO He ZHOU Tingpeng WANG 《ENGINEERING Management》 CSCD 2026年第1期246-257,共12页
The rapid evolution of robotic and intelligent technologies is propelling the construction industry toward human‑robot collaboration.Consequently,robots have transcended their role as mere instruments of labor to acqu... The rapid evolution of robotic and intelligent technologies is propelling the construction industry toward human‑robot collaboration.Consequently,robots have transcended their role as mere instruments of labor to acquire the attributes of laborers,forming a human‑robot hybrid workforce that jointly undertakes productive activities.The emergence of this new labor paradigm is poised to trigger unprecedented transformations in project division of labor,organizational structure,technological coordination,management models,and governance mechanisms.However,existing research lacks a systematic understanding of this transformation and its potential cascading effects.Therefore,this paper adopts a sociotechnical systems framework to analyze human‑robot collaboration,examining the technological evolution of construction robots from tools to partners and the corresponding shifts in collaboration patterns.Furthermore,drawing on the Leavitt model,human‑robot collaboration is conceptualized as a coupled configuration of“people‑technology‑task‑structure.”This perspective enables an integrated analysis of how the technical and social attributes of human‑robot collaboration reshape both the technical logic and managerial paradigms of engineering management.Finally,this study identifies ten key research topics reflecting the emerging characteristics of human‑robot collaboration in the construction industry,aiming to illuminate future frontiers of this transformation in engineering management. 展开更多
关键词 human‑robot collaboration engineering management sociotechnical system
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Prioritizing human-AI collaboration in healthcare:the TRIAD framework for trustworthy governance,real-world,and integrated adaptive deployment 认领 引用
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作者 Jia Li Zi-Chun Zhou +1 位作者 Zhen-Chang Wang Han Lv 《Military Medical Research》 SCIE CAS CSCD 2026年第6期861-868,共8页
Artificial intelligence(AI)and big data are reshaping the healthcare landscape.However,clinical value depends on how well systems augment clinicians and fit into routine workflows.To this end,we introduce the TRIAD fr... Artificial intelligence(AI)and big data are reshaping the healthcare landscape.However,clinical value depends on how well systems augment clinicians and fit into routine workflows.To this end,we introduce the TRIAD framework:trustworthy governance,real-world clinical value,and integrated adaptive deployment,to guide the development,validation,and deployment of clinical AI.TRIAD requires explicit data provenance and intended use,fairness auditing,and calibrated uncertainty.This framework evaluates the human-AI team in real workflows using team-level metrics,including accuracy,safety,workload,and patterns of acceptance,editing,and overriding.Deployment proceeds via staged rollouts with pre-registered guardrails and continuous monitoring of performance and subgroup impact.TRIAD views intelligence as a property of the human-AI team rather than the AI model alone.Aligning governance,evaluation,and deployment around clinicians and patients enables durable gains in safety,equity,efficiency,and experience,thereby elevating clinical value. 展开更多
关键词 TRIAD Artificial intelligence(AI) Human-AI collaboration Trust mechanisms Clinical decision support
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Enforcing spatio-temporal collaborations in distributed predictive control under temporally relaxed STL specifications 认领 引用
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作者 Hongbo Yang Yuanyuan Zou Shaoyuan Li 《Control Theory and Technology》 EI CSCD 2026年第2期203-213,共11页
This paper introduces spatio-temporal collaboration(STC),a novel formalism for coordinating multi-agent systems under signal temporal logic(STL).STC defines critical inter-agent dependencies that may be violated by th... This paper introduces spatio-temporal collaboration(STC),a novel formalism for coordinating multi-agent systems under signal temporal logic(STL).STC defines critical inter-agent dependencies that may be violated by the cascading delays resulting from temporal relaxation,a common method for resolving local task conflicts.To address this issue,we first analyze the propagation of task delays through dependent tasks.A time interval refinement strategy is then proposed to maintain the required collaborations.This strategy is integrated into a distributed predictive control algorithm,ensuring simultaneous satisfaction of both STL specifications and STC relations while preserving recursive feasibility and closed-loop stability.Validation via a case study demonstrates the effectiveness of proposed strategy in preventing collaboration failures. 展开更多
关键词 Collaborative control Signal temporal logic Multi-agent system Temporal relaxation Distributed predictive control
A New Hybrid Teaching Model Based on Intelligent Interactive Virtual MOOC for Cross-Regional and Cross-School Collaboration 认领 引用
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作者 Yanhang Zhang Xiaohong Su +1 位作者 Yu Zhang Tiantian Wang 《计算机教育》 2026年第3期89-94,共6页
This paper proposes and implements a novel hybrid teaching model based on IMOOC(intelligent interactive virtual MOOC),featuring cross-regional inter-university collaboration and industry-academia cooperation.This appr... This paper proposes and implements a novel hybrid teaching model based on IMOOC(intelligent interactive virtual MOOC),featuring cross-regional inter-university collaboration and industry-academia cooperation.This approach drives teaching quality improvement in central and western Chinese universities,injects new momentum into the“1+M+N”hybrid teaching framework,and promotes a digital classroom revolution.The integration of Huawei’s programming standards,high-performance cloud platform deployment,and Kunpeng development kits into MOOCs,teaching,and laboratory practices addresses two critical issues:the static nature of traditional teaching content and the disconnect between programming skill cultivation and industrial practice.This innovation bridges programming education with cutting-edge technologies in China’s independent and controllable software industry. 展开更多
关键词 Cross-regional and cross-school collaboration IMOOC Digital classroom
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Multi-agent reinforcement learning with layered autonomy and collaboration for enhanced collaborative confrontation 认领 引用
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作者 Xiaoyu XING Haoxiang XIA 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2026年第2期370-388,共19页
Addressing optimal confrontation methods in multi-agent attack-defense scenarios is a complex challenge.Multi-Agent Reinforcement Learning(MARL)provides an effective framework for tackling sequential decision-making p... Addressing optimal confrontation methods in multi-agent attack-defense scenarios is a complex challenge.Multi-Agent Reinforcement Learning(MARL)provides an effective framework for tackling sequential decision-making problems,significantly enhancing swarm intelligence in maneuvering.However,applying MARL to unmanned swarms presents two primary challenges.First,defensive agents must balance autonomy with collaboration under limited perception while coordinating against adversaries.Second,current algorithms aim to maximize global or individual rewards,making them sensitive to fluctuations in enemy strategies and environmental changes,especially when rewards are sparse.To tackle these issues,we propose an algorithm of MultiAgent Reinforcement Learning with Layered Autonomy and Collaboration(MARL-LAC)for collaborative confrontations.This algorithm integrates dual twin Critics to mitigate the high variance associated with policy gradients.Furthermore,MARL-LAC employs layered autonomy and collaboration to address multi-objective problems,specifically learning a global reward function for the swarm alongside local reward functions for individual defensive agents.Experimental results demonstrate that MARL-LAC enhances decision-making and collaborative behaviors among agents,outperforming the existing algorithms and emphasizing the importance of layered autonomy and collaboration in multi-agent systems.The observed adversarial behaviors demonstrate that agents using MARL-LAC effectively maintain cohesive formations that conceal their intentions by confusing the offensive agent while successfully encircling the target. 展开更多
关键词 Attack-defense confrontation Collaborative confrontation Autonomous agents Multi-agent systems Reinforcement learning Maneuvering decisionmaking
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Collaboration of GTCC-Powered CAES with Residual Compression Heat for Gas Turbine Inlet Air Heating 认领 引用
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作者 Cheng Yang Hanjie Qi Qing Yin 《Energy Engineering》 EI 2026年第2期548-577,共30页
In order to enhance the off-peak performance of gas turbine combined cycle(GTCC)units,a novel collaborative power generation system(CPG)was proposed.During off-peak operation periods,the remaining power of the GTCC wa... In order to enhance the off-peak performance of gas turbine combined cycle(GTCC)units,a novel collaborative power generation system(CPG)was proposed.During off-peak operation periods,the remaining power of the GTCC was used to drive the adiabatic compressed air energy storage(ACAES),while the intake air of the GTCC was heated by the compression heat of theACAES.Based on a 67.3MW GTCC,under specific demand load distribution,a CPG system and a benchmark system(BS)were designed,both of which used 9.388% of the GTCC output power to drive the ACAES.The performance of the CPG and the BS without intake air heating was compared.The results show that the load rate of the GTCC in the CPG system during off-peak periods is significantly enhanced,and the average operating efficiency of the GTCC is increased by 1.19 percentage points.However,in the BS system,due to the single collaborativemethod of load shifting,the GTCC operative efficiency is almost increased by 1.00 percentage points under different ambient temperatures.In a roundtrip cycle at an ambient temperature of 288.15K,the systemefficiency of the CPG reaches 0.5010,which is 0.62 percentage points higher than the operative efficiency of 0.4948 in the standalone GTCC;while the system efficiency of the BS is slightly inferior to that of the standalone GTCC.The findings confirm the technical feasibility and performance improvement of the ACAES-GTCC collaborative power generation system. 展开更多
关键词 Gas turbine combined cycle adiabatic compressed air energy storage compressor inlet air heating collaborative power generation system system performance
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Developing successful international collaborations in Earth Science research 认领 引用
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作者 Walter D.Mooney 《Earthquake Science》 CAS CSCD 2026年第1期118-124,共7页
I offer suggestions to increase the probability of success of an international research project.Collaborative studies often produce more innovative and transformative scientific results than work done by a single inve... I offer suggestions to increase the probability of success of an international research project.Collaborative studies often produce more innovative and transformative scientific results than work done by a single investigator or an isolated team.My advice is intended for early-career scientists.The product of the collaboration may be high-impact research publications,enhanced geophysical monitoring capabilities in a foreign country,or an advanced training course.Choosing the right international partner is the most important step.Keeping an open mind and being receptive to suggestions to modify the initial concept is critical.Other key steps include having a mutually agreed upon plan with achievable goals and well-defined expected outcomes.International cooperation is a richly rewarding experience that accelerates progress in the Earth Sciences. 展开更多
关键词 earth science research geophysical monitoring capabilities research projectcollaborative studies international collaborations advanced training coursechoosing scientific results successful collaborations international partner
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Multi-dimensional optimization of polymer-involved Li+solvation enabling stable polymer plastic crystal electrolyte for long-cycle lithium metal batteries 认领 引用 被引量：1
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作者 Lianzhan Huang Yuanlong Wu +6 位作者 Piao Luo Kexin Su Xin Song Mingdong Liu Minjian Li Huiyu Song Zhiming Cui 《Journal of Energy Chemistry》 SCIE EI CAS CSCD 2026年第1期656-665,I0015,共10页
Succinonitrile(SN)-based polymer plastic crystal electrolytes(PPCEs)are regarded as promising candidates for lithium metal batteries but suffer from serious side reactions with Li metal.Herein,we propose a multi-dimen... Succinonitrile(SN)-based polymer plastic crystal electrolytes(PPCEs)are regarded as promising candidates for lithium metal batteries but suffer from serious side reactions with Li metal.Herein,we propose a multi-dimensional optimization strategy to alleviate the side reactions between SN and Li metal,and develop a highly stable poly-vinylethylene carbonate-based PPCE(PPCE-VEC).Moreover,we identify the intrinsic factors of multi-dimensional polymer structures on the electrolyte stability by three typical classes of polyesters.The PPCE-VEC constructed by in situ polymerization exhibits much better stability than poly-vinylene carbonate-based PPCE(PPCE-VCA)and poly-trifluoroethyl acrylate-based PPCE(PPCE-TFA),which is verified by its fewer SN-decomposition species in X-ray photoelectron spectroscopy(XPS)and outstanding full cell performance.The PPCE-VEC-enabled LiNi0.6Co0.2Mn0.2O2full cell achieve 73.7%capacity retention after 1400 cycles,which outperforms PPCE-VCA-and PPCE-TFA-enabled full cells(61.9%and 46.9%).Spectral analysis and theoretical calculation reveal that the high solvation ability of the carbonyl site,flexible polymer chain,and homogeneous electrolyte phase of PPCE-VEC are favorable to maximizing competition coordination with Li+to weaken the Li+–SN binding and shape an anion-rich solvation structure.This optimized polymer-involved Li+solvation enhances SN stability and facilitates the formation of B/F enriched solid-electrolyte interphase(SEI),thus significantly improving PPCE stability. 展开更多
关键词 Succinonitrile Li metal Polymer plastic crystal electrolytes Multi-dimensional polymer structures
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Research on Multi-Dimensional Collaborative Strategies in Design Management,Investment Management,and Beyond from the Perspective of Whole-Process Engineering Consulting 认领 引用
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作者 Zexin Chen 《Journal of Architectural Research and Development》 2025年第5期21-28,共8页
This paper explores whole-process engineering consulting,including its application models in public buildings and elderly-friendly projects,such as service integration and whole lifecycle management.It also addresses ... This paper explores whole-process engineering consulting,including its application models in public buildings and elderly-friendly projects,such as service integration and whole lifecycle management.It also addresses the construction of multi-dimensional collaborative theoretical models,public space streamline organization,and other aspects,emphasizing the importance of multi-dimensional collaboration.Additionally,it highlights the role of talent cultivation and digital transformation in enhancing project efficiency. 展开更多
关键词 Whole-process engineering consulting Multi-dimensional collaboration Project efficiency
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Understanding teams and productivity in information retrieval research:Academia,industry,and cross-community collaborations 认领 引用
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作者 Jiaqi Lei Liang Hu +1 位作者 Yi Bu Jiqun Liu 《Journal of Data and Information Science》 CSCD 2026年第1期96-113,共18页
Purpose:Prior Information Retrieval(IR)research synthesizes progress from individual studies,yet academia-industry collaboration dynamics remain unexplored.This study investigates:(1)productivity patterns and venues,(... Purpose:Prior Information Retrieval(IR)research synthesizes progress from individual studies,yet academia-industry collaboration dynamics remain unexplored.This study investigates:(1)productivity patterns and venues,(2)citations-downloads relationships,(3)topic evolution,and(4)collaboration trends.Design/methodology/approach:We perform an analysis of 53,471 ACM IR papers(2000–2018)using bibliometrics and DistilBERT topic modeling.Findings:We find that industry-involved papers preferred WWW/CIKM venues;collaborations dominated RecSys/CSCW.We see that academia-industry collaborations achieved the highest download-to-citation conversion rates.Academia focused on algorithms;industry on applications;collaborations bridged both with rising human-centered themes.Research implications:This is a pioneering large-scale bibliometrics revealing collaboration’s impact on IR knowledge evolution and provides a methodological framework for cross-sector analysis.Practical implications:The paper identifies optimal venues(RecSys/CSCW)for partnerships and guides joint initiatives(shared datasets,grants)to bridge academia-industry divides and enhance research translation.Originality/value:This is the first large-scale bibliometric analysis of IR academia-industry collaboration.The paper finds many novel insights,including the fact that collaboration boosts citation efficiency,enables complementary specialization,and drives topic convergence. 展开更多
关键词 Information Retrieval Bibliometrics Productivity Research topic Scientific collaboration Academic-industry collaboration.
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Defect Diagnosis and Fault Early Warning of Communication Module in Electric Energy Meters Based on Multi-Dimensional Feature Fusion Machine Learning Algorithm 认领 引用
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作者 Liao Kaiji Zhang Junsheng +1 位作者 Zhang Jiefu Cai Junyi 《China Communications》 SCIE EI CSCD 2026年第4期330-337,共8页
In recent years,with the advancement of computational hardware performance,machine learning algorithms have achieved significant development and widespread application across various fields,and have become deeply embe... In recent years,with the advancement of computational hardware performance,machine learning algorithms have achieved significant development and widespread application across various fields,and have become deeply embedded in smart grids and communication systems.However,it is important to note that despite the widespread deployment of smart meters in the power system,the lack of reliable intelligent diagnostic,a large number of such electricity meters experiencing communication failures caused by internal topological defects every year.To address this issue,we propose a machine learning-based monitoring and early warning model using multidimensional feature fusion.By integrating more than twenty key features in four categories,including attribute features,operational load features,communication behavior features,and derived combined features-an XGBoost classification algorithm framework is constructed to implement risk early warning for electricity meter communication faults.Validated with data from millions of users,the proposed model achieves an accuracy of approximately 90%,the annual average reduction in power outages caused by communication faults is more than 10,000 hours,and significantly enhances the grid’s safety and operational stability. 展开更多
关键词 communication faults intelligent early warning machine learning internal topological defects multi-dimensional features fusion
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从交互到协作,数智时代的人智关系何去何从?——评《Human-AI Interaction and Collaboration》 认领 引用
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作者 夏立新 《信息资源管理学报》 CSSCI 2026年第2期166-168,共3页
数智时代,用户与人工智能系统的交互模式正在发生怎样的转变?《Human-AI Interaction and Collaboration》一书通过理论框架构建、应用场景描述、潜在风险辨识,为读者全方位地解析了人智交互与协作的内在逻辑,提出“以人为本”这一人工... 数智时代,用户与人工智能系统的交互模式正在发生怎样的转变?《Human-AI Interaction and Collaboration》一书通过理论框架构建、应用场景描述、潜在风险辨识,为读者全方位地解析了人智交互与协作的内在逻辑,提出“以人为本”这一人工智能系统设计的首要原则,详细分析了用户感知、系统设计、人智关系等一系列因素如何影响人智协作的效率与成果,在针对潜在风险制定应对方案的同时,为读者展示了人智协作在医疗、科研、金融等多学科场景下的广阔前景。该书为未来人智交互与协作相关研究提供了坚实的理论框架,也为人工智能系统设计者提供了伦理指南。 展开更多
关键词 人智交互 人智协作 人工智能系统 多学科应用场景 书评
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Information collaboration analysis in different tiers of healthcare system with co-produced incentives 认领 引用
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作者 YANG Sen WANG Haiyan 《Journal of Southeast University(English Edition)》 EI CAS 2026年第1期138-146,共9页
Information collaboration is crucial for optimizing resource allocation and improving diagnostic efficiency across hospital tiers through enhanced information technology capacity.To characterize the dynamic decision-m... Information collaboration is crucial for optimizing resource allocation and improving diagnostic efficiency across hospital tiers through enhanced information technology capacity.To characterize the dynamic decision-making mechanism between general hospitals(GHs)and primary healthcare centers(PHCs),a two-player differential game model was constructed to analyze the relationship between optimal investment levels and corresponding payoffs and explore how GHs can incentivize collaboration by adjusting their investment intensity and sharing PHCs’costs.The results indicate that information collaboration is a win-win strategy.Its dynamic equilibrium shows that GHs make intensive efforts in the early stage of digital construction.However,such investment decreases over time as patient information accessibility becomes limited.Under the collaboration mode,although GHs’digital investment is lower than that in the independent operation,the total system payoff significantly increases.This improvement arises because PHCs,with their locational and informational advantages,undertake major digitalization tasks,allowing GHs to focus resources on disease treatment.The introduction of collaboration incentives strengthens this performance improvement. 展开更多
关键词 information collaboration co-produced incentives differential game incentive mechanism
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Promoting evidence-based nursing through collaboration,autonomy,and agency:A qualitative case study 认领 引用
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作者 Jude Ominyi Adewale Alabi 《International Journal of Nursing Sciences》 CSCD 2026年第3期263-272,I0002,共10页
Objectives Evidence-based practice(EBP)is widely accepted as central to high-quality nursing care,yet integration into acute care settings remains uneven.Nurses play a vital role in applying evidence,but organizationa... Objectives Evidence-based practice(EBP)is widely accepted as central to high-quality nursing care,yet integration into acute care settings remains uneven.Nurses play a vital role in applying evidence,but organizational hierarchies,time constraints,and limited interprofessional collaboration often restrict their ability to lead or sustain EBP.This study explored how nurses enact,adapt,and promote EBP through interprofessional collaboration,everyday clinical leadership,and access to continuing professional development.Methods An embedded comparative case study design was used,informed by interpretive and ethnographic principles.The research was conducted across two large hospitals in England with differing leadership and governance structures.Twenty-five participants were included,consisting of nurses,nurse managers,and physicians.Data were collected over six years through 25 semi-structured interviews,60 h of non-participant observation,and review of policy and quality improvement documents.Data were analyzed using reflexive thematic analysis.Results Five key themes were identified:leadership practices and organizational support;professional identity and EBP ownership;interprofessional collaboration and communication;structural barriers and resource constraints;and capacity building through learning and feedback.Nurses enacted EBP through informal leadership,peer mentorship,and grassroots innovation.Structural barriers such as limited time,unequal access to continuing professional development,and fragmented collaboration significantly affected implementation.Conclusions Nurses play an active and sustained role in leading EBP through their relationships,clinical judgment,and commitment to care quality.However,their efforts are shaped by the broader organizational systems in which they work.Supporting interprofessional collaboration,distributed leadership,establishing EBP mentoring roles,and ensuring equitable access to continuing professional development are essential for consistent and inclusive evidence use.Hospital managers and policymakers should prioritize structural investment in team-based learning,inclusive governance and digital access. 展开更多
关键词 Acute care Continuing professional development Evidence-based practice Interprofessional collaboration Qualitative study
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A Multi-Agent Deep Reinforcement Learning-Based Task Offloading Method for 6G-Enabled Internet of Vehicles with Cloud-Edge-Device Collaboration 认领 引用
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作者 Fangxiang Hu Qi Fu +1 位作者 Shiwen Zhang Jing Huang 《Computers, Materials & Continua》 SCIE EI 2026年第6期1842-1872,共31页
In the Internet of Vehicles(IoV)environment,the growing demand for computational resources from diverse vehicular applications often exceeds the capabilities of intelligent connected vehicles.Traditional approaches,wh... In the Internet of Vehicles(IoV)environment,the growing demand for computational resources from diverse vehicular applications often exceeds the capabilities of intelligent connected vehicles.Traditional approaches,which rely on one or more computational resources within the cloud-edge-device computing model,struggle to ensure overall service quality when handling high-density traffic flows and large-scale tasks.To address this issue,we propose a computational offloading scheme based on a cloud-edge-device collaborative 6G IoV edge computing model,namely,Multi-Agent Deep Reinforcement Learning-based and Server-weighted scoring Selection(MADRLSS),which aims to optimize dynamic offloading decisions and resource allocation.The scheme first designs an improved multi-agent proximal policy optimization(MAPPO)algorithm,decoupling centralized training from distributed execution for multiple terminal vehicle agents.Specifically,the centralized training of terminal vehicles is migrated to the high-performance edge layer,while lightweight decision-making networks are retained at the terminal vehicles to enable efficient and dynamic task offloading decisions.Additionally,a server-weighted scoring selection(SS)algorithm is proposed,which integrates two key metrics—short-term server load and geographical proximity—to select the optimal server and allocate communication resources.The proposed scheme improves the quality of experience(QoE)while balancing energy consumption.Simulation results demonstrate that the MADRLSS scheme significantly outperforms existing benchmark methods in terms of task offloading efficiency and stability,maintaining QoE consistently above 82%and effectively enhancing service quality in complex vehicular scenarios. 展开更多
关键词 Vehicular edge computing cloud-edge-device collaboration multi-agent proximal policy optimization high-density vehicle task offloading resource allocation 6G
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A multi-dimensional automated framework for student code evaluation 认领 引用
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作者 Xuran Tang Xudong Lu +4 位作者 Quanshun Yang Wei Guo Lizhen Cui Zhongmin Yan Peng Pan 《计算机教育》 2026年第6期322-329,共8页
With the rapid growth of big data technologies,data analysis skills have become essential across industries.Programming skills are increasingly important.Universities are adding programming courses to their core curri... With the rapid growth of big data technologies,data analysis skills have become essential across industries.Programming skills are increasingly important.Universities are adding programming courses to their core curricula.It is challenging to evaluate students'code assignments in a scientific and efficient way.Traditional test-case evaluation only checks functional correctness.However,it cannot assess code structure,logical rigor,or performance.To address this,our study builds a multi-dimensional automated framework.The framework evaluates student code from four angles:structure analysis,grammar analysis,time complexity analysis,and code similarity analysis.Notably,in code similarity analysis,the framework integrates structural features,with semantic analysis powered by large language models.Teachers can use the evaluation results to fully understand students'progress and dynamically adjust teaching content. 展开更多
关键词 Code parsing Abstract syntax tree Control flow graph Multi-dimensional evaluation
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Threat Analysis and Assessment Based on a Collaboration Interface for Manned-Unmanned Teaming Systems 认领 引用
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作者 Gaeul Kim Dohoon Kim 《Computers, Materials & Continua》 SCIE EI 2026年第7期340-369,共30页
Manned-Unmanned Teaming(MUM-T)is an operational system where manned and unmanned systems perform missions through a collaboration interface,expanding beyond defense into civilian domains.The core of MUM-T lies in the ... Manned-Unmanned Teaming(MUM-T)is an operational system where manned and unmanned systems perform missions through a collaboration interface,expanding beyond defense into civilian domains.The core of MUM-T lies in the organic interaction between manned and unmanned systems.The Collaboration Interface enabling this interaction becomes a primary target for cyber attacks due to its reliance on wireless networks.Compromising the reliability of the collaboration interface goes beyond simple communication failures;it directly leads to mission failure and aircraft safety issues.Therefore,systematic threat analysis and assessment tailored to this specific domain are essential.This study performs threat modeling based on the MITRE ATT&CK framework for the MUM-T collaboration interface and proposes a behavior-based risk assessment methodology combined with multi-criteria decision making(MCDM)techniques.First,attack techniques reflecting the characteristics of the collaboration interface are derived to structure threat scenarios.The relative importance of each TTP of the scenario is quantified to calculate the overall risk.When applied to GPS and battery spoofing scenarios,the proposed methodology confirmed that by structurally reflecting the likelihood of occurrence and propagation paths of TTP units,it precisely derives the complex threat characteristics of MUM-T environments.By defining collaboration interfaces as the analysis target and presenting a TTP-based threat analysis and quantitative risk assessment methodology,this study provides practical grounds for determining threat-specific response priorities in MUM-T environments. 展开更多
关键词 Manned-Unmanned Teaming(MUM-T) collaboration interface threat modeling TTP-based risk assessment Multi-Criteria Decision Making(MCDM)
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