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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
1
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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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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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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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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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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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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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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Industry-University-Research collaboration networks:the identification and driving factors of key technologies 认领 引用
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作者 Qining Peng Xian Zhang Zhenkang Fu 《Journal of Data and Information Science》 CSCD 2026年第1期146-174,共29页
Purpose:This study aims to analyze the key technologies in Industry–University–Research(IUR)cooperation within higher education institutions,deepen the understanding of the mechanisms of IUR cooperation and the proc... Purpose:This study aims to analyze the key technologies in Industry–University–Research(IUR)cooperation within higher education institutions,deepen the understanding of the mechanisms of IUR cooperation and the process of technological innovation,and reveal the dynamic evolution patterns and driving mechanisms of key technologies in IUR cooperation alliance networks at different stages.It also provides clear directions and strategic recommendations for cooperation among universities,enterprises,and research institutions.Methodology:This study uses patents applied for through IUR cooperation by Chinese Double First-Class universities from 2015 to 2024 as the data basis and employs the Louvain algorithm to divide IUR cooperation applicants.Subsequently,a Technology–Applicant network is constructed at two-year intervals,and key technologies are extracted using network information entropy.The evolution paths of technological characteristics are then thoroughly analyzed.Finally,the study proposes three hypotheses and employs the Exponential Random Graph Model(ERGM)to systematically elucidate the endogenous driving mechanisms of key technology characteristics in the applicant.Findings:Over the past decade,IUR cooperation in Chinese Double First-Class universities has undergone a transformation from single technological fields to the deep integration of multiple technological fields and from traditional application areas to emerging ones.The knowledge depth,knowledge width,and knowledge combination capabilities of IUR applicants,as core independent variables,have had varying impacts on network formation across different time periods.Among them,knowledge combination capability has played a significant role in promoting network formation.Research limitations:On the one hand,this study mainly focuses on the Double First-Class universities in China and does not cover other types of universities.On the other hand,while the study mainly focuses on the analysis of the IUR technology network,the analysis of the cooperation network between applicants is still insufficient.Practical implications:This study provides practical guidance for optimizing IUR cooperation networks by emphasizing the integration of multiple technological fields,balancing knowledge depth and width,enhancing knowledge combination ability,and optimizing the internal network structure.These measures help to strengthen the stability and efficiency of cooperation networks,boost innovative outcomes,and provide strong support for scientific and technological progress as well as economic development.Originality/value:This study examines the evolution of key technologies and their impact on IUR cooperation networks in China over ten years.It shows a shift from single to multiple technological fields and from traditional to emerging applications,highlighting Chinese global competitiveness.Core variables like knowledge depth,width,and combination ability differently affect network formation over time,with knowledge combination being consistently significant.Network structural characteristics also crucially regulate stability and efficiency.The findings offer theory-based practical guidance to optimize these networks. 展开更多
关键词 Industry–University–Research(IUR)collaboration networks Key technologies Bipartite network Information entropy Exponential Random Graph Model(ERGM)
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Cost-Aware Secure Offloading Based on Edge-Edge Collaboration in SDN-Enabled MEC Networks with Deep Reinforcement Learning 认领 引用
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作者 Nie Xuefang Chen Xingbang +2 位作者 Zhou Tianqing Zhou Qiangqiang Zhang Jiliang 《China Communications》 SCIE EI CSCD 2026年第6期216-231,共16页
Mobile edge computing(MEC)has been envisioned as an important technique of the 5th generation(5G)wireless networks to handle computation tasks from mobile terminal devices(TDs).To accommodate the low-delay requirement... Mobile edge computing(MEC)has been envisioned as an important technique of the 5th generation(5G)wireless networks to handle computation tasks from mobile terminal devices(TDs).To accommodate the low-delay requirements of mobile TDs with latency-sensitive and computation-intensive applications,we propose an edge-edge collaborative paradigm for software-defined networking(SDN)-enabled MEC networks by merging adjacent MEC servers with redundant computing resources to execute offloading tasks.Meanwhile,since task data distributed among various edge computation nodes is vulnerable to malicious attacks and eavesdropping,resulting in data and privacy leakage.We take secure offloading service into account and attempt to minimize the total cost of all offloading tasks by the optimal scheme,jointly considering offloading decision,security level and computing resource assignment.To reduce the total cost of all offloading tasks mainly caused by wireless communication,energy consumption and secure computing,we propose an optimization framework which can dynamically adjust the task offloading decision,security level and computing resource allocation policy simultaneously in MEC networks.We formalize the problem as a multi-agent decision based optimization problem,and further address it by using a multi-agent deep reinforcement learning(DRL)based method.Numerical results illustrate that the proposed DRL-based method is superior to the benchmark methods in terms of the total cost and support ratio. 展开更多
关键词 collaborative computation deep reinforcement learning mobile edge computing secure offloading task processing cost
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Training of Engineering-oriented Mindset with Application of an IUR Collaboration Project 认领 引用
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作者 Liang Dong Shouqiang Liu Qingzhen Xu 《计算机教育》 2026年第3期61-66,共6页
Software engineering has been embraced by almost all industries to promote work efficiency,improve user experience or cut cost.In line with this,the education on software engineering should be made more adaptable to m... Software engineering has been embraced by almost all industries to promote work efficiency,improve user experience or cut cost.In line with this,the education on software engineering should be made more adaptable to meet the needs of industries.Industry-university-research(IUR)collaboration project,which was initially designed to reinforce the association between universities and enterprises,brought added value to this end.In this paper,an IUR collaboration project on tele-rehabilitation is presented as an example for education practice,where emphasis is laid on the ways of analyzing users’needs,converting users’needs to infrastructure design,decomposing a project into tasks,etc.The project had been used as both student assignments and case studies in software engineering courses,where students were motivated to deal with real medical problems from an engineering perspective.It was shown that by introducing the IUR collaboration project,it helped the students to build up engineering-oriented mindset besides improving their R&D ability on software engineering. 展开更多
关键词 Industry-university-research(IUR)collaboration Software engineering education Tele-rehabilitation Engineering-oriented mindset
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AI Translation Agent Empowers Domestic Game Localization From the Perspective of“Human-AI Collaboration”——A Case Study of Zhipu Qingyan Platform 认领 引用
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作者 GAO Yue CHE Huan-huan 《US-China Foreign Language》 2026年第1期34-38,共5页
Against the backdrop of domestic games“going global”becoming a core path for the international communication of Chinese culture,the quality and efficiency of game localization directly affect the effectiveness of ov... Against the backdrop of domestic games“going global”becoming a core path for the international communication of Chinese culture,the quality and efficiency of game localization directly affect the effectiveness of overseas market expansion.Traditional translation models suffer from high costs,long cycles,and unstable quality,while general artificial intelligence(AI)translation faces shortcomings,such as inconsistent terminology and poor cultural adaptation.Based on the concept of“human-AI collaboration”,this paper constructs an AI translation agent adapted to game localization scenarios using the Zhipu Qingyan platform.Through the construction of an exclusive knowledge base,customized workflow arrangement,and feedback optimization mechanism,it achieves dual improvements in translation efficiency and quality.Tests show that the agent increases translation efficiency by over 65%,the manual evaluation accuracy of cultural imagery transmission reaches 82%,the terminology consistency rate exceeds 92%,and the translation accuracy rate is 89%.It can shorten the translation cycle by 70%and reduce costs by more than 80%,providing an efficient and feasible technical solution for domestic game localization with significant practical value. 展开更多
关键词 human-AI collaboration AI translation agent domestic game localization Zhipu Qingyan
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Human-Machine Collaboration: Paths and Strategies for Cultivating Competent Language Translation Talents 认领 引用
19
作者 ZHOU Yuhong 《US-China Education Review(A)》 2026年第4期203-209,共7页
Against the backdrop of the rapid advancement of AI (artificial intelligence) technology permeating the language services industry and human-machine collaboration emerging as a prevailing trend in translation, traditi... Against the backdrop of the rapid advancement of AI (artificial intelligence) technology permeating the language services industry and human-machine collaboration emerging as a prevailing trend in translation, traditional translation pedagogy centered on linguistic proficiency is at the risk of detaching from industry demands. In light of the philosophy of the New Liberal Arts, which advocates interdisciplinary integration and convergence of technology and the humanities, this study proposes a “Four Integrations” translation teaching model. This model comprises the integration of AI technology with translation pedagogy, blended learning (online and offline), theoretical instruction plus industry-academia collaboration, and translation competency plus cultural literacy. By constantly optimizing the curriculum system and innovating teaching modalities, this model incorporates the cultivation of human-machine collaboration capabilities into the entire process of translation education. 展开更多
关键词 human-machine collaboration New Liberal Arts Four-Pronged Integration translation pedagogy in higher education institutions
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Deepen Lancang-Mekong Supply Chain Collaboration,Write a New Chapter for the 10th Anniversary of Cooperation 认领 引用
20
作者 Ma Yanling 《China's Foreign Trade》 2026年第3期30-36,共7页
This year marks the10th anniversary of the First Lancang-Mekong Cooperation Leaders'Meeting.The Lancang-Mekong Cooperation (hereinafter referred to as L-M Cooperation) is a new type of sub-regional cooperation mec... This year marks the10th anniversary of the First Lancang-Mekong Cooperation Leaders'Meeting.The Lancang-Mekong Cooperation (hereinafter referred to as L-M Cooperation) is a new type of sub-regional cooperation mechanism jointly initiated and developed by China,Cambodia,Laos,Myanmar,Thailand and Vietnam. 展开更多
关键词 cooperation sub regional cooperation mechanism deepen th anniversary Lancang Mekong supply chain collaboration Lancang Mekong cooperation
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