Accurate crown control is paramount for ensuring the quality of hot-rolled strip products.Given the multitude of influencing parameters and the intricate coupling and genetic relationships among them,the conventional ...Accurate crown control is paramount for ensuring the quality of hot-rolled strip products.Given the multitude of influencing parameters and the intricate coupling and genetic relationships among them,the conventional crown control method is no longer sufficient to meet the precision requirements of schedule-free rolling.To address this limitation,an optimization framework for hot-rolled strip crown control was developed based on model-driven digital twin(MDDT).This framework enhances the strip crown control precision by facilitating collaborative operations among physical entities,virtual models,and functional application layers.In virtual modeling,a data-driven approach that integrates the extreme gradient boosting and the improved Harris hawk optimization algorithm was firstly proposed to fit the relationship between key process parameters and strip crown,and a global-local collaborative training strategy was proposed to enhance the model adaptability to diverse working conditions.Subsequently,the influence of crucial process factors on the virtual model was examined through model responses.Furthermore,a novel optimization mode for crown control based on MDDT was established by aligning and reconstructing both the physical and virtual models,thereby enhancing the crown control precision.Finally,data trials were conducted to validate the effectiveness of the proposed framework.The results indicated that the proposed method exhibited satisfactory performance and could be effectively utilized to improve the crown control precision.展开更多
AIM:To characterize the ocular surface characteristics in the Nepalese population across all age groups who have used digital screens for extended durations over several years.METHODS:In a cross-sectional,observationa...AIM:To characterize the ocular surface characteristics in the Nepalese population across all age groups who have used digital screens for extended durations over several years.METHODS:In a cross-sectional,observational study,144 digital screen users were assessed for dry eye disease(DED)using subjective and objective measures.The Ocular Surface Disease Index(OSDI)Questionnaire evaluated symptoms,followed by clinical assessments,including slit lamp biomicroscopy,tear breakup time(TBUT),Oxford Scheme grading,and Schirmer I test.DED was diagnosed if a patient had an OSDI score over 13 and at least two clinical signs(OSDI,Schirmer I test,or ocular staining).The prevalence of DED was calculated based on the proportion of patients meeting these criteria.RESULTS:Of the 144 participants(mean age:34.6±15.2y),78(54.2%)were female.The use of digital screens varied between 2-8h(mean duration:4.1±2.7h)per day.The mean OSDI score,TBUT score,and the Schirmer I scores were 22.7±10.5(max-min:24.4-20.9),6.8±4.2s(max-min:7.5-6.1),and 12.3±4.6 mm(max-min:13.1-11.5)respectively with 95%confidence interval(β=1.96),and a two-tailed statistical significance level of 5%(α=0.05).With increased screen use,TBUT shortened and OSDI scores increased significantly(P<0.01),though Schirmer I scores were unaffected(P>0.05).The prevalence of DED ranged from 6.3%to 22.9%in those using screens for more than 2h,with an overall prevalence of 67.4%among digital screen users.CONCLUSION:There is a significant association between prolonged use of digital screens and clinical markers of dry eye signs and symptoms.展开更多
In order to effectively serve the modernization of China,the Landscape Architecture discipline of the College of Science and Technology of China Three Gorges University,building on its distinctive disciplinary strengt...In order to effectively serve the modernization of China,the Landscape Architecture discipline of the College of Science and Technology of China Three Gorges University,building on its distinctive disciplinary strengths and proactively adapting to the demands of the times,has proposed an innovative transformation and development model centered on the principle of“Green,Digital-intelligence,Humanity,and Integration(GDHI)”and conducted comprehensive practical research through multiple dimensions,including restructuring talent training programs,innovating teaching content and methods,and fostering indepth interdisciplinary integration.This has resulted in the formation of a distinctive,innovative teaching methods,providing valuable experience for further transformation and reshaping of the Landscape Architecture discipline and related disciplines.展开更多
The High-Temperature Biaxial Testing Apparatus(HTBTA)is a critical tool for studying the damage and failure mechanisms of heat-resistant composite materials under extreme conditions.However,existing methods for managi...The High-Temperature Biaxial Testing Apparatus(HTBTA)is a critical tool for studying the damage and failure mechanisms of heat-resistant composite materials under extreme conditions.However,existing methods for managing and monitoring such apparatus face challenges,including limited real-time modeling capabilities,inadequate integration of multi-source data,and inefficiencies in human-machine interaction.To address these gaps,this study proposes a novel digital twin-driven framework for HTBTA,encompassing the design,validation,operation,and maintenance phases.By integrating advanced modeling techniques,such as finite element analysis and Long Short-Term Memory(LSTM)networks,the digital twin enables high-fidelity simulation,real-time predictive modeling,and robust remote monitoring of HTBTA.The research contributes to bridging the knowledge gap in applying digital twin technology to high-temperature multi-axial testing systems.Unlike existing solutions,the proposed approach achieves synchronization error,real-time monitoring with ms delay,and predictive accuracy for temperature<2%<100distributions under extreme conditions up to 2500℃.The findings highlight the effectiveness of the digital twin in improving system reliability,enhancing interaction efficiency,and reducing maintenance costs.This study not only advances the application of digital twin technology in high-temperature material testing but also establishes a foundation for broader adoption in aerospace,automotive,and other industrial sectors.Future research directions include exploring non-proportional loading scenarios,expanding multi-environment simulations,and integrating in-situ observation techniques.展开更多
Digital twin(DT)technology has been utilised in many applications including electric vehicles(EVs).A DT is a virtual representation of a physical object,enabled through real-time data integration,simulation,and optimi...Digital twin(DT)technology has been utilised in many applications including electric vehicles(EVs).A DT is a virtual representation of a physical object,enabled through real-time data integration,simulation,and optimisation tools.Unlike conventional simulations,which are typically offline and lack real-time interaction,a DT continuously synchronises with the physical system,enabling dynamic performance monitoring and predictive an-alytics.Achieving a full DT involves progressive stages,with the digital shadow(DS)being the final step before realising a bidirectional DT.Building a DS provides a scalable real-time performance monitoring and fault detection framework,enabling proactive decision-making in EV operations.This study introduces a DS system specifically designed to monitor the performance of a permanent magnet synchronous motor(PMSM)drive system in EVs,marking a critical phase towards a complete DT.The methodology for creating the DS is detailed,including the establishment of a compre-hensive test bench for the EV powertrain as the physical reference model.The mathe-matical model of the EV-PMSM was formulated,and an advanced estimation model utilising the extended Kalman filter(EKF)was implemented.MATLAB/Simulink was employed to develop the motor’s digital model.Real-time data acquisition from the physical model was facilitated through a data acquisition system(DAS)equipped with a controller area network(CAN)communication interface.The digital model underwent thorough validation against sensory data collected from the test bench.The motor digital model was deployed to a DS framework enabled through real-time data flow from the actual EV during real-world driving conditions.The results demonstrated a high accuracy of 97%between the DS predictions and the corresponding EV data,confirming the DS’s reliability.These findings pave the way for future advancements,including bidirectional interaction and the realisation of a full DT.展开更多
Integrating mobile edge computing (MEC) and digital twin (DT) technologies to enhance network performance through predictive, adaptive control for energy-efficient and low-latency communication is a significant challe...Integrating mobile edge computing (MEC) and digital twin (DT) technologies to enhance network performance through predictive, adaptive control for energy-efficient and low-latency communication is a significant challenge. This paper presents the EcoEdgeTwin model, an innovative framework that harnesses the harmony between MEC and DT technologies to ensure an efficient network operation. We optimise the utility function to balance enhancing users' quality of experience (QoE) and minimising latency and energy consumption at edge servers. This approach ensures efficient and adaptable network operations, utilising DT to synchronise and integrate real-time data seamlessly. Our framework implements robust mechanisms for task offloading, service caching and cost-effective service migration. Additionally, it manages energy consumption related to task processing, communication and the influence of DT predictions, all essential for optimising latency and minimising energy usage. Through the utility model, we also prioritise QoE, fostering a user-centric approach to network management that balances network efficiency with user satisfaction. A cornerstone of our approach is integrating the advantage actor-critic algorithm, marking a pioneering use of deep reinforcement learning for dynamic network management. This strategy addresses challenges in service mobility and network variability, ensuring optimal network performance matrices. Our extensive simulations demonstrate that compared to benchmark models, the EcoEdgeTwin framework significantly reduces energy usage and latency while enhancing QoE.展开更多
Purpose–This study aims to implement condition monitoring for urban rail train permanent magnet synchronous motors and inverter systems.Through the construction of a digital twin model,it performs fault diagnosis of ...Purpose–This study aims to implement condition monitoring for urban rail train permanent magnet synchronous motors and inverter systems.Through the construction of a digital twin model,it performs fault diagnosis of potential system failures,enabling rapid fault localization and protection.Design/methodology/approach–This research begins with a brief introduction to the structure and classification of permanent magnet synchronous motors(PMSMs),followed by a detailed analysis of their mathematical model.Subsequently,it thoroughly investigates the working principle of three-phase two-level inverters and the distribution of space voltage vectors.Based on the analysis of the main circuit topology,a digital twin model matching the external characteristics of the physical circuit is established using the model predictive control method,achieving accurate system simulation.Furthermore,through theoretical analysis and simulation verification of phase current characteristics under inverter switch tube faults,general patterns of phase currents under fault conditions are summarized.The established digital twin model is then employed to validate these patterns,confirming the model’s effectiveness in fault diagnosis.Findings–This study proposes a fault diagnosis method based on digital twins.Experimental and simulation results demonstrate that the established digital twin model can accurately simulate the external characteristics of the actual physical circuit,validating its effectiveness in inverter fault diagnosis.This approach offers practical value for condition monitoring in actual urban rail train systems.Originality/value–The study innovatively starts from a mathematical model and simulates the actual physical model through a virtual model,requiring only external characteristics to achieve system fault diagnosis,thereby enhancing diagnostic efficiency.展开更多
Natural gas hydrates are crystalline solid complexes with different morphologies found in marine sediments and permafrost zones. The petrophysical properties of gas hydrate-bearing sediments(GHBS) are crucial for unde...Natural gas hydrates are crystalline solid complexes with different morphologies found in marine sediments and permafrost zones. The petrophysical properties of gas hydrate-bearing sediments(GHBS) are crucial for understanding the characteristics of gas hydrate reservoirs, the spatial distribution of natural gas hydrates, and their exploitation potential. Geophysical exploration remains the primary approach for investigating the petrophysical properties of GHBS. However, limitations in resolution make it challenging to accurately characterize complex sediment structures, leading to difficulties in precisely interpreting petrophysical properties. Laboratory-based petrophysical experiments provide highly accurate results for petrophysical properties. Despite their accuracy, these experiments are costly, and difficulties in controlling variables may introduce uncertainties into geophysical exploration models.Advances in imaging and simulation techniques have established digital rock technology as an indispensable tool for enhancing petrophysical experimentation. This technology offers a novel microscopic perspective for elucidating the three-dimensional(3D) spatial distribution and multi-physical responses of GHBS. This paper presents an in-depth discussion of digital rock technology as applied to GHBS, with an emphasis on digital rock reconstruction and simulation of petrophysical properties. First, we summarize two common methods for constructing digital rocks of GHBS: petrophysical experimental methods and numerical reconstruction methods, followed by analyses of their respective advantages and limitations. Next, we delve into numerical simulation methods for evaluating GHBS petrophysical properties, including electrical, elastic, and fluid flow characteristics. Finally, we conduct a comprehensive analysis of the current trends in digital rock reconstruction and petrophysical simulation techniques for GHBS, emphasizing the necessity of multi-scale, multi-component, high-resolution 3D digital rock models to facilitate the precise characterization of complex gas hydrate reservoirs. Future applications of microscopic digital rock technology should be integrated with macroscopic geophysical exploration to enable more comprehensive and precise analyses of GHBS petrophysical properties.展开更多
Higher vocational colleges are important institutions for cultivating skilled talents.With the development of new-quality productive forces,these colleges need to meet the requirements of digital transformation and im...Higher vocational colleges are important institutions for cultivating skilled talents.With the development of new-quality productive forces,these colleges need to meet the requirements of digital transformation and improve the effectiveness of talent cultivation.In the process of higher vocational education,it is essential to emphasize teaching innovation and enhance the level of digital teaching.From the perspective of new-quality productive forces,this paper analyzes the new requirements put forward for higher vocational education and proposes specific digital transformation strategies.The purpose is to improve the effectiveness of talent cultivation and accumulate experience for the subsequent digital transformation of higher vocational education.展开更多
Assembly precision greatly influences the performance of complex high-end equipment.The traditional industrial assembly process and deviation transfer are implicit and uncertain,causing problems like poor component fi...Assembly precision greatly influences the performance of complex high-end equipment.The traditional industrial assembly process and deviation transfer are implicit and uncertain,causing problems like poor component fit and hard-to-trace assembly stress concentration.Assemblers can only check whether the dimensional tolerance of the component design is exceeded step by step in combination with prior knowledge.Inversion in industrial assembly optimizes assembly and design by comparing real and theoretical results and doing inversion analysis to reduce assembly deviation.The digital twin(DT)technology visualizes and predicts the assembly process by mapping real and virtual model parameters and states simultaneously,expanding parameter range for inversion analysis and improving inversion result accuracy.Problems in improving industrial assembly precision and the significance and research status of DT-driven parametric inversion of assembly tools,processes and object precision are summarized.It analyzes vital technologies for assembly precision inversion such as multi-attribute assembly process parameter sensing,virtual modeling of high-fidelity assembly systems,twin synchronization of assembly process data models,multi-physical field simulation,and performance twin model construction of the assembly process.Combined with human-cyber-physical system,augmented reality,and generative intelligence,the outlook of DT-driven assembly precision inversion is proposed,providing support for DT's use in industrial assembly and precision improvement.展开更多
Inspection is a fundamental task for water plants,yet traditional methods are often labor-intensive,time-consuming,and costly.The rapid advancement of drone technology has significantly transformed environmental inspe...Inspection is a fundamental task for water plants,yet traditional methods are often labor-intensive,time-consuming,and costly.The rapid advancement of drone technology has significantly transformed environmental inspections,particularly in water plant assessments.Digital twins enhance modeling and simulation capabilities by integrating real-time data and feedback.This paper presents an intelligent water plant detection system based on YOLOv10 and drone technology.The system aims to monitor environmental conditions around water facilities and automatically identify anomalies in real time.The design utilizes dataset images of construction vehicles,maintenance hole covers,and pipe leaks collected from publicly accessible websites.The system integrates real-time drone inspection data into a digital twin platform for dynamic monitoring.展开更多
Green investments(GIs)in the energy industry are crucial for driving a clean energy transition and fostering environmental sustainability.In the digital economy era,insufficient attention has been paid to digital fina...Green investments(GIs)in the energy industry are crucial for driving a clean energy transition and fostering environmental sustainability.In the digital economy era,insufficient attention has been paid to digital finance’s(DF’s)influence on GIs in energy enterprises,potentially underestimating its impact.Our study utilized a two-way fixedeffects model,analyzing data from 108 listed energy firms from 2011 to 2020,to empirically investigate the influence of DF on GIs in China’s energy industry.The research findings are as follows:(1)An increase of one unit in DF can improve the intensity of GIs in the energy industry by 0.03%by alleviating financing constraints,increasing cash flow,and correcting financial mismatches.(2)DF has a significant threshold effect on GIs,with market incentive-and command-and-control-based environmental regulations having thresholds of 16.98 and 0.98,respectively.(3)The GI performance of large state-owned energy enterprises in regions with a higher marketization benefits more from DF.We suggested tailored policy suggestions according to these findings.展开更多
In recent years,digital twin technology has gained significant attention and application in the engineering construction field in China.Its real-time feedback function has brought more standardized construction operat...In recent years,digital twin technology has gained significant attention and application in the engineering construction field in China.Its real-time feedback function has brought more standardized construction operations to various engineering construction and maintenance processes.In this context,this paper analyzes the specific application of digital twin technology in hydraulic engineering based on its foundations.Taking the reinforcement and anti-seepage digital twin application of a certain embankment section as an example,it explores the reinforcement and anti-seepage construction effects of embankment engineering with the involvement of digital twin technology under complex hydrogeological conditions.The research shows that this technology can significantly improve the control accuracy of slurry diffusion,the identification ability of seepage risks,and the adaptability of engineering construction.Its application provides a replicable digital solution for the governance model of hydraulic engineering.展开更多
The global wave of digitalization has accelerated the process of corporate digital transformation,placing higher demands on financial and accounting management.Since then,accounting work has shifted from the tradition...The global wave of digitalization has accelerated the process of corporate digital transformation,placing higher demands on financial and accounting management.Since then,accounting work has shifted from the traditional transactional model to a modern value management-oriented model,leading to a transformation of accounting functions.As corporate managers,they must advance their work proactively,empower the modernization and innovation of financial accounting with digital technology,and transition to management accounting to ensure enterprises keep pace with the times.Therefore,this paper explores the current status of corporate financial and accounting work amid the digital wave,identifies the challenges in the transformation of accounting from transactional to value management-oriented,and finally proposes several feasible and effective improvement strategies,aiming to provide more references for relevant practitioners.展开更多
Digital publishing,as a vital medium of cultural communication in the digital age,is gradually becoming a significant force in promoting China’s fine traditional culture going global and facilitating the internationa...Digital publishing,as a vital medium of cultural communication in the digital age,is gradually becoming a significant force in promoting China’s fine traditional culture going global and facilitating the internationalization of Chinese industries.This paper takes Black Myth:Wukong as a case study to explore the role of digital game publishing in enhancing cultural empowerment,driving innovative communication,and promoting industrial collaboration.As an emerging force in the publishing industry,digital games have invigorated the momentum of Chinese culture going global through marketing and distribution,community operations,and content production,fostering the creative transformation and innovative development of cultural publishing.Through interactive narratives,diverse communication matrices,and industrial chain collaboration,digital game publishing not only facilitates deeper cultural exchange but also promotes the collaborative global development of related industries,including cultural tourism and technology.Digital game publishing has opened up new pathways for the global communication of Chinese culture and driven Chinese industries onto the international stage through technological innovation and cultural collaboration.This demonstrates its strategic value and development potential amid the wave of digitalization and globalization.展开更多
Digital-intelligent technologies represent the advanced direction of new quality productive forces and are becoming a driving force for the digital transformation and high-quality development of the cultural industry....Digital-intelligent technologies represent the advanced direction of new quality productive forces and are becoming a driving force for the digital transformation and high-quality development of the cultural industry.Empowered by new quality productive forces,the digital cultural industry has demonstrated diverse characteristics,including the innovation of cultural production subjects,the intelligentization of production tools,the digitization of production objects,the systematization of production methods,and the diversification of production factors.Leveraging technologies such as AIGC,virtual-physical integration,and DAOs based on Web 3.0,the digital cultural industry has established an innovative paradigm,fostering a new method of AIGC production in the digital cultural industry,a new business format of virtual-physical integration,and a new collaborative ecosystem characterized by co-creation,co-building,and co-governance.Meanwhile,the innovative paradigm of the digital cultural industry also faces a series of new challenges,such as the adaptability issues with AIGC algorithm models,creative bottlenecks,and content quality control problems.Additionally,there are obstacles like the immaturity of international development channels for new business formats,the lack of cultural connotations in creative products,and the lag of the digital-intelligent governance of the industry ecosystem behind digital practices.In light of this,there is an urgent need to establish an optimization mechanism for the high-quality development of digital cultural industries driven by new quality productive forces.This includes optimizing the content production mechanism for AIGC-led high-quality innovation in the digital cultural industry;improving the leapfrog development mechanism for new digital cultural business formats through global-regional collaboration;and enhancing the accurate,high-quality governance mechanism for the digital cultural industry that is aligned with the goals of Chinese modernization.展开更多
Chinese Wine Culture influences people’s attitudes toward alcohol.The current study focuses on exploring the main features of a localized digital alcohol consumption intervention mini-program to address the difficult...Chinese Wine Culture influences people’s attitudes toward alcohol.The current study focuses on exploring the main features of a localized digital alcohol consumption intervention mini-program to address the difficulties of abstinence for native drinkers,as a promising way for long-term management of rehabilitation from alcohol use disorder.A mixed-method approach was used in this study.The self-report quantitative questionnaire recruited three groups of participants:89 drinkers,67 drinkers’relatives,and 30 medical staff.The focus group qualitative interview inspected 36 participants’perspectives on the core topics,including 21 drinkers,4 drinkers’relatives,and 11 medical staff.The results of combining the quantitative study and qualitative study indicated that the top difficulties of abstinence for native drinkers are the strong craving from the inside,the environmental influence,and the psychological health status,especially emotional states.Correspondingly,the most desired main features in an alcohol consumption digital intervention tool are the daily track of drinking conditions and craving level,periodic feedback reports that can share with others,and mood improvement training.Moreover,the top factors that influence participants’intention to use/recommend the tool are whether the tool is effective,whether the user experience is good,and whether the tool can replenish the deficiency of the current alcohol treatment.Future work needs to balance what patients want and what others around them expect,so that potential users can benefit best from the digital intervention tool in the context of Chinese culture.展开更多
Hydrogen,a genuinely clean energy,is a promising alternative to fossil fuels.Inspired by underground gas storage of methane,establishing underground hydrogen storage(UHS)in depleted oil and gas reservoirs has emerged ...Hydrogen,a genuinely clean energy,is a promising alternative to fossil fuels.Inspired by underground gas storage of methane,establishing underground hydrogen storage(UHS)in depleted oil and gas reservoirs has emerged as a significant research focus.Carbonate reservoirs,where widely-presented fractures can facilitate the high-speed injection and production of gases,are hence ideal candidates for building underground hydrogen storage facilities.During the cyclic injection and extraction processes of UHS,the formation is subjected to stress disturbances,leading to stress sensitivity.Understanding the stress sensitivity patterns of carbonate rocks is crucial for optimizing injection and production strategies.This study reconstructed three-dimensional digital models of fractured carbonate rocks from the L gas field using micro-CT scanning technology.Utilizing the finite element method,we investigated the microscopic permeability characteristics of carbonate rocks and analyzed the impact of stress loading direction and confining stress on stress sensitivity.The findings reveal that the stress loading direction significantly influences the stress sensitivity of fractured carbonate rocks.When a stress of 60 MPa is applied perpendicular to the fracture direction,the permeability reduction ratio can reach 17.32%.In contrast,when the same stress is applied parallel to the fracture direction,the permeability reduction ratio is only 4.82%.Furthermore,a simulation of UHS with cyclic injection and production of H2 in the target block was conducted.When both permeability and porosity stress sensitivity were considered,the working gas volume for UHS decreased by only 3.4%,demonstrating that fractured carbonate reservoirs are feasible candidates for constructing underground hydrogen storage.展开更多
基金financially supported by the National Key Research and Development Program of China(Grant No.2023YFB3710204)Guangxi Science and Technology Major Program(Grant No.AA23023028-1)+1 种基金Natural Science Foundation of Heilongjiang Province of China for Distinguished Young Scientists(Grant No.JQ2022E007)Xinjiang Production and Construction Corps Science and Technology Plan(Grant No.2023AA003).
文摘Accurate crown control is paramount for ensuring the quality of hot-rolled strip products.Given the multitude of influencing parameters and the intricate coupling and genetic relationships among them,the conventional crown control method is no longer sufficient to meet the precision requirements of schedule-free rolling.To address this limitation,an optimization framework for hot-rolled strip crown control was developed based on model-driven digital twin(MDDT).This framework enhances the strip crown control precision by facilitating collaborative operations among physical entities,virtual models,and functional application layers.In virtual modeling,a data-driven approach that integrates the extreme gradient boosting and the improved Harris hawk optimization algorithm was firstly proposed to fit the relationship between key process parameters and strip crown,and a global-local collaborative training strategy was proposed to enhance the model adaptability to diverse working conditions.Subsequently,the influence of crucial process factors on the virtual model was examined through model responses.Furthermore,a novel optimization mode for crown control based on MDDT was established by aligning and reconstructing both the physical and virtual models,thereby enhancing the crown control precision.Finally,data trials were conducted to validate the effectiveness of the proposed framework.The results indicated that the proposed method exhibited satisfactory performance and could be effectively utilized to improve the crown control precision.
文摘AIM:To characterize the ocular surface characteristics in the Nepalese population across all age groups who have used digital screens for extended durations over several years.METHODS:In a cross-sectional,observational study,144 digital screen users were assessed for dry eye disease(DED)using subjective and objective measures.The Ocular Surface Disease Index(OSDI)Questionnaire evaluated symptoms,followed by clinical assessments,including slit lamp biomicroscopy,tear breakup time(TBUT),Oxford Scheme grading,and Schirmer I test.DED was diagnosed if a patient had an OSDI score over 13 and at least two clinical signs(OSDI,Schirmer I test,or ocular staining).The prevalence of DED was calculated based on the proportion of patients meeting these criteria.RESULTS:Of the 144 participants(mean age:34.6±15.2y),78(54.2%)were female.The use of digital screens varied between 2-8h(mean duration:4.1±2.7h)per day.The mean OSDI score,TBUT score,and the Schirmer I scores were 22.7±10.5(max-min:24.4-20.9),6.8±4.2s(max-min:7.5-6.1),and 12.3±4.6 mm(max-min:13.1-11.5)respectively with 95%confidence interval(β=1.96),and a two-tailed statistical significance level of 5%(α=0.05).With increased screen use,TBUT shortened and OSDI scores increased significantly(P<0.01),though Schirmer I scores were unaffected(P>0.05).The prevalence of DED ranged from 6.3%to 22.9%in those using screens for more than 2h,with an overall prevalence of 67.4%among digital screen users.CONCLUSION:There is a significant association between prolonged use of digital screens and clinical markers of dry eye signs and symptoms.
基金Sponsored by Hubei Provincial Higher Education Teaching Reform Research Project(2023584)Philosophy and Social Sciences Research Project of Hubei Provincial Department of Education(3Z634)Hubei Provincial Education Science Planning Project(2023GB119).
文摘In order to effectively serve the modernization of China,the Landscape Architecture discipline of the College of Science and Technology of China Three Gorges University,building on its distinctive disciplinary strengths and proactively adapting to the demands of the times,has proposed an innovative transformation and development model centered on the principle of“Green,Digital-intelligence,Humanity,and Integration(GDHI)”and conducted comprehensive practical research through multiple dimensions,including restructuring talent training programs,innovating teaching content and methods,and fostering indepth interdisciplinary integration.This has resulted in the formation of a distinctive,innovative teaching methods,providing valuable experience for further transformation and reshaping of the Landscape Architecture discipline and related disciplines.
基金supported by Natural Science Foundation of China(NSFC),Grant Number 5247052693.
文摘The High-Temperature Biaxial Testing Apparatus(HTBTA)is a critical tool for studying the damage and failure mechanisms of heat-resistant composite materials under extreme conditions.However,existing methods for managing and monitoring such apparatus face challenges,including limited real-time modeling capabilities,inadequate integration of multi-source data,and inefficiencies in human-machine interaction.To address these gaps,this study proposes a novel digital twin-driven framework for HTBTA,encompassing the design,validation,operation,and maintenance phases.By integrating advanced modeling techniques,such as finite element analysis and Long Short-Term Memory(LSTM)networks,the digital twin enables high-fidelity simulation,real-time predictive modeling,and robust remote monitoring of HTBTA.The research contributes to bridging the knowledge gap in applying digital twin technology to high-temperature multi-axial testing systems.Unlike existing solutions,the proposed approach achieves synchronization error,real-time monitoring with ms delay,and predictive accuracy for temperature<2%<100distributions under extreme conditions up to 2500℃.The findings highlight the effectiveness of the digital twin in improving system reliability,enhancing interaction efficiency,and reducing maintenance costs.This study not only advances the application of digital twin technology in high-temperature material testing but also establishes a foundation for broader adoption in aerospace,automotive,and other industrial sectors.Future research directions include exploring non-proportional loading scenarios,expanding multi-environment simulations,and integrating in-situ observation techniques.
基金Estonian Research Competency Council,Grant/Award Number:PSG453,Eesti Teadusagentuur。
文摘Digital twin(DT)technology has been utilised in many applications including electric vehicles(EVs).A DT is a virtual representation of a physical object,enabled through real-time data integration,simulation,and optimisation tools.Unlike conventional simulations,which are typically offline and lack real-time interaction,a DT continuously synchronises with the physical system,enabling dynamic performance monitoring and predictive an-alytics.Achieving a full DT involves progressive stages,with the digital shadow(DS)being the final step before realising a bidirectional DT.Building a DS provides a scalable real-time performance monitoring and fault detection framework,enabling proactive decision-making in EV operations.This study introduces a DS system specifically designed to monitor the performance of a permanent magnet synchronous motor(PMSM)drive system in EVs,marking a critical phase towards a complete DT.The methodology for creating the DS is detailed,including the establishment of a compre-hensive test bench for the EV powertrain as the physical reference model.The mathe-matical model of the EV-PMSM was formulated,and an advanced estimation model utilising the extended Kalman filter(EKF)was implemented.MATLAB/Simulink was employed to develop the motor’s digital model.Real-time data acquisition from the physical model was facilitated through a data acquisition system(DAS)equipped with a controller area network(CAN)communication interface.The digital model underwent thorough validation against sensory data collected from the test bench.The motor digital model was deployed to a DS framework enabled through real-time data flow from the actual EV during real-world driving conditions.The results demonstrated a high accuracy of 97%between the DS predictions and the corresponding EV data,confirming the DS’s reliability.These findings pave the way for future advancements,including bidirectional interaction and the realisation of a full DT.
文摘Integrating mobile edge computing (MEC) and digital twin (DT) technologies to enhance network performance through predictive, adaptive control for energy-efficient and low-latency communication is a significant challenge. This paper presents the EcoEdgeTwin model, an innovative framework that harnesses the harmony between MEC and DT technologies to ensure an efficient network operation. We optimise the utility function to balance enhancing users' quality of experience (QoE) and minimising latency and energy consumption at edge servers. This approach ensures efficient and adaptable network operations, utilising DT to synchronise and integrate real-time data seamlessly. Our framework implements robust mechanisms for task offloading, service caching and cost-effective service migration. Additionally, it manages energy consumption related to task processing, communication and the influence of DT predictions, all essential for optimising latency and minimising energy usage. Through the utility model, we also prioritise QoE, fostering a user-centric approach to network management that balances network efficiency with user satisfaction. A cornerstone of our approach is integrating the advantage actor-critic algorithm, marking a pioneering use of deep reinforcement learning for dynamic network management. This strategy addresses challenges in service mobility and network variability, ensuring optimal network performance matrices. Our extensive simulations demonstrate that compared to benchmark models, the EcoEdgeTwin framework significantly reduces energy usage and latency while enhancing QoE.
基金supported by the Fund of China State Railway Group Corporation Limited(L2023J001)the Fund of China Academy of Railway Sciences Corporation Limited(2023YJ247).
文摘Purpose–This study aims to implement condition monitoring for urban rail train permanent magnet synchronous motors and inverter systems.Through the construction of a digital twin model,it performs fault diagnosis of potential system failures,enabling rapid fault localization and protection.Design/methodology/approach–This research begins with a brief introduction to the structure and classification of permanent magnet synchronous motors(PMSMs),followed by a detailed analysis of their mathematical model.Subsequently,it thoroughly investigates the working principle of three-phase two-level inverters and the distribution of space voltage vectors.Based on the analysis of the main circuit topology,a digital twin model matching the external characteristics of the physical circuit is established using the model predictive control method,achieving accurate system simulation.Furthermore,through theoretical analysis and simulation verification of phase current characteristics under inverter switch tube faults,general patterns of phase currents under fault conditions are summarized.The established digital twin model is then employed to validate these patterns,confirming the model’s effectiveness in fault diagnosis.Findings–This study proposes a fault diagnosis method based on digital twins.Experimental and simulation results demonstrate that the established digital twin model can accurately simulate the external characteristics of the actual physical circuit,validating its effectiveness in inverter fault diagnosis.This approach offers practical value for condition monitoring in actual urban rail train systems.Originality/value–The study innovatively starts from a mathematical model and simulates the actual physical model through a virtual model,requiring only external characteristics to achieve system fault diagnosis,thereby enhancing diagnostic efficiency.
基金the National Key R&D Program of China(2023YEE0119900)National Natural Science Foundation of China(Nos.92058211,42204105 and 42121005)+4 种基金Fundamental Research Funds for the Central Universities(No.862201013140)111 project(No.B20048)the International(Regional)Cooperation and Exchange Programs(No.12411530092)the Young Talent Fund of Association for Science and Technology in Shaanxi(No.20230703)Technology Innovation Leading Program of Shaanxi(No.2024 ZC-YYDP-27).
文摘Natural gas hydrates are crystalline solid complexes with different morphologies found in marine sediments and permafrost zones. The petrophysical properties of gas hydrate-bearing sediments(GHBS) are crucial for understanding the characteristics of gas hydrate reservoirs, the spatial distribution of natural gas hydrates, and their exploitation potential. Geophysical exploration remains the primary approach for investigating the petrophysical properties of GHBS. However, limitations in resolution make it challenging to accurately characterize complex sediment structures, leading to difficulties in precisely interpreting petrophysical properties. Laboratory-based petrophysical experiments provide highly accurate results for petrophysical properties. Despite their accuracy, these experiments are costly, and difficulties in controlling variables may introduce uncertainties into geophysical exploration models.Advances in imaging and simulation techniques have established digital rock technology as an indispensable tool for enhancing petrophysical experimentation. This technology offers a novel microscopic perspective for elucidating the three-dimensional(3D) spatial distribution and multi-physical responses of GHBS. This paper presents an in-depth discussion of digital rock technology as applied to GHBS, with an emphasis on digital rock reconstruction and simulation of petrophysical properties. First, we summarize two common methods for constructing digital rocks of GHBS: petrophysical experimental methods and numerical reconstruction methods, followed by analyses of their respective advantages and limitations. Next, we delve into numerical simulation methods for evaluating GHBS petrophysical properties, including electrical, elastic, and fluid flow characteristics. Finally, we conduct a comprehensive analysis of the current trends in digital rock reconstruction and petrophysical simulation techniques for GHBS, emphasizing the necessity of multi-scale, multi-component, high-resolution 3D digital rock models to facilitate the precise characterization of complex gas hydrate reservoirs. Future applications of microscopic digital rock technology should be integrated with macroscopic geophysical exploration to enable more comprehensive and precise analyses of GHBS petrophysical properties.
基金Research on High-Quality Development Pathways for Vocational Human Resource Management Programs in Higher Vocational Education under the Perspective of Modernization(Project No.:SGYJG2024B02)。
文摘Higher vocational colleges are important institutions for cultivating skilled talents.With the development of new-quality productive forces,these colleges need to meet the requirements of digital transformation and improve the effectiveness of talent cultivation.In the process of higher vocational education,it is essential to emphasize teaching innovation and enhance the level of digital teaching.From the perspective of new-quality productive forces,this paper analyzes the new requirements put forward for higher vocational education and proposes specific digital transformation strategies.The purpose is to improve the effectiveness of talent cultivation and accumulate experience for the subsequent digital transformation of higher vocational education.
基金Supported by National Key Research and Development Program of China(Grant No.2022YFB3304200)National Natural Science Foundation of China(Grant No.52205288)+1 种基金China Postdoctoral Science Foundation(Grant Nos.2024T170795,2024M762815)Zhejiang Provincial Key Research and Development Program(Grant No.2024C01029)。
文摘Assembly precision greatly influences the performance of complex high-end equipment.The traditional industrial assembly process and deviation transfer are implicit and uncertain,causing problems like poor component fit and hard-to-trace assembly stress concentration.Assemblers can only check whether the dimensional tolerance of the component design is exceeded step by step in combination with prior knowledge.Inversion in industrial assembly optimizes assembly and design by comparing real and theoretical results and doing inversion analysis to reduce assembly deviation.The digital twin(DT)technology visualizes and predicts the assembly process by mapping real and virtual model parameters and states simultaneously,expanding parameter range for inversion analysis and improving inversion result accuracy.Problems in improving industrial assembly precision and the significance and research status of DT-driven parametric inversion of assembly tools,processes and object precision are summarized.It analyzes vital technologies for assembly precision inversion such as multi-attribute assembly process parameter sensing,virtual modeling of high-fidelity assembly systems,twin synchronization of assembly process data models,multi-physical field simulation,and performance twin model construction of the assembly process.Combined with human-cyber-physical system,augmented reality,and generative intelligence,the outlook of DT-driven assembly precision inversion is proposed,providing support for DT's use in industrial assembly and precision improvement.
文摘Inspection is a fundamental task for water plants,yet traditional methods are often labor-intensive,time-consuming,and costly.The rapid advancement of drone technology has significantly transformed environmental inspections,particularly in water plant assessments.Digital twins enhance modeling and simulation capabilities by integrating real-time data and feedback.This paper presents an intelligent water plant detection system based on YOLOv10 and drone technology.The system aims to monitor environmental conditions around water facilities and automatically identify anomalies in real time.The design utilizes dataset images of construction vehicles,maintenance hole covers,and pipe leaks collected from publicly accessible websites.The system integrates real-time drone inspection data into a digital twin platform for dynamic monitoring.
基金supported by the Key Projects of Philosophy and Social Sciences Research,Ministry of Education,(Grant No.:22JZD008).
文摘Green investments(GIs)in the energy industry are crucial for driving a clean energy transition and fostering environmental sustainability.In the digital economy era,insufficient attention has been paid to digital finance’s(DF’s)influence on GIs in energy enterprises,potentially underestimating its impact.Our study utilized a two-way fixedeffects model,analyzing data from 108 listed energy firms from 2011 to 2020,to empirically investigate the influence of DF on GIs in China’s energy industry.The research findings are as follows:(1)An increase of one unit in DF can improve the intensity of GIs in the energy industry by 0.03%by alleviating financing constraints,increasing cash flow,and correcting financial mismatches.(2)DF has a significant threshold effect on GIs,with market incentive-and command-and-control-based environmental regulations having thresholds of 16.98 and 0.98,respectively.(3)The GI performance of large state-owned energy enterprises in regions with a higher marketization benefits more from DF.We suggested tailored policy suggestions according to these findings.
文摘In recent years,digital twin technology has gained significant attention and application in the engineering construction field in China.Its real-time feedback function has brought more standardized construction operations to various engineering construction and maintenance processes.In this context,this paper analyzes the specific application of digital twin technology in hydraulic engineering based on its foundations.Taking the reinforcement and anti-seepage digital twin application of a certain embankment section as an example,it explores the reinforcement and anti-seepage construction effects of embankment engineering with the involvement of digital twin technology under complex hydrogeological conditions.The research shows that this technology can significantly improve the control accuracy of slurry diffusion,the identification ability of seepage risks,and the adaptability of engineering construction.Its application provides a replicable digital solution for the governance model of hydraulic engineering.
文摘The global wave of digitalization has accelerated the process of corporate digital transformation,placing higher demands on financial and accounting management.Since then,accounting work has shifted from the traditional transactional model to a modern value management-oriented model,leading to a transformation of accounting functions.As corporate managers,they must advance their work proactively,empower the modernization and innovation of financial accounting with digital technology,and transition to management accounting to ensure enterprises keep pace with the times.Therefore,this paper explores the current status of corporate financial and accounting work amid the digital wave,identifies the challenges in the transformation of accounting from transactional to value management-oriented,and finally proposes several feasible and effective improvement strategies,aiming to provide more references for relevant practitioners.
文摘Digital publishing,as a vital medium of cultural communication in the digital age,is gradually becoming a significant force in promoting China’s fine traditional culture going global and facilitating the internationalization of Chinese industries.This paper takes Black Myth:Wukong as a case study to explore the role of digital game publishing in enhancing cultural empowerment,driving innovative communication,and promoting industrial collaboration.As an emerging force in the publishing industry,digital games have invigorated the momentum of Chinese culture going global through marketing and distribution,community operations,and content production,fostering the creative transformation and innovative development of cultural publishing.Through interactive narratives,diverse communication matrices,and industrial chain collaboration,digital game publishing not only facilitates deeper cultural exchange but also promotes the collaborative global development of related industries,including cultural tourism and technology.Digital game publishing has opened up new pathways for the global communication of Chinese culture and driven Chinese industries onto the international stage through technological innovation and cultural collaboration.This demonstrates its strategic value and development potential amid the wave of digitalization and globalization.
基金funded by Research on Policy Design and Implementation Path for High-Quality Development of Digital Cultural Industry(23&ZD087),a major project of the National Social Science Foundation of China.
文摘Digital-intelligent technologies represent the advanced direction of new quality productive forces and are becoming a driving force for the digital transformation and high-quality development of the cultural industry.Empowered by new quality productive forces,the digital cultural industry has demonstrated diverse characteristics,including the innovation of cultural production subjects,the intelligentization of production tools,the digitization of production objects,the systematization of production methods,and the diversification of production factors.Leveraging technologies such as AIGC,virtual-physical integration,and DAOs based on Web 3.0,the digital cultural industry has established an innovative paradigm,fostering a new method of AIGC production in the digital cultural industry,a new business format of virtual-physical integration,and a new collaborative ecosystem characterized by co-creation,co-building,and co-governance.Meanwhile,the innovative paradigm of the digital cultural industry also faces a series of new challenges,such as the adaptability issues with AIGC algorithm models,creative bottlenecks,and content quality control problems.Additionally,there are obstacles like the immaturity of international development channels for new business formats,the lack of cultural connotations in creative products,and the lag of the digital-intelligent governance of the industry ecosystem behind digital practices.In light of this,there is an urgent need to establish an optimization mechanism for the high-quality development of digital cultural industries driven by new quality productive forces.This includes optimizing the content production mechanism for AIGC-led high-quality innovation in the digital cultural industry;improving the leapfrog development mechanism for new digital cultural business formats through global-regional collaboration;and enhancing the accurate,high-quality governance mechanism for the digital cultural industry that is aligned with the goals of Chinese modernization.
基金the National Natural Science Foundation of China(No.82171484)the Interdisciplinary Program of Shanghai Jiao Tong University(No.YG2023ZD25)。
文摘Chinese Wine Culture influences people’s attitudes toward alcohol.The current study focuses on exploring the main features of a localized digital alcohol consumption intervention mini-program to address the difficulties of abstinence for native drinkers,as a promising way for long-term management of rehabilitation from alcohol use disorder.A mixed-method approach was used in this study.The self-report quantitative questionnaire recruited three groups of participants:89 drinkers,67 drinkers’relatives,and 30 medical staff.The focus group qualitative interview inspected 36 participants’perspectives on the core topics,including 21 drinkers,4 drinkers’relatives,and 11 medical staff.The results of combining the quantitative study and qualitative study indicated that the top difficulties of abstinence for native drinkers are the strong craving from the inside,the environmental influence,and the psychological health status,especially emotional states.Correspondingly,the most desired main features in an alcohol consumption digital intervention tool are the daily track of drinking conditions and craving level,periodic feedback reports that can share with others,and mood improvement training.Moreover,the top factors that influence participants’intention to use/recommend the tool are whether the tool is effective,whether the user experience is good,and whether the tool can replenish the deficiency of the current alcohol treatment.Future work needs to balance what patients want and what others around them expect,so that potential users can benefit best from the digital intervention tool in the context of Chinese culture.
基金National Natural Science Foundation of China,52304048Ye Tian,China Postdoctoral Science Foundation,2022M722637,Ye Tian。
文摘Hydrogen,a genuinely clean energy,is a promising alternative to fossil fuels.Inspired by underground gas storage of methane,establishing underground hydrogen storage(UHS)in depleted oil and gas reservoirs has emerged as a significant research focus.Carbonate reservoirs,where widely-presented fractures can facilitate the high-speed injection and production of gases,are hence ideal candidates for building underground hydrogen storage facilities.During the cyclic injection and extraction processes of UHS,the formation is subjected to stress disturbances,leading to stress sensitivity.Understanding the stress sensitivity patterns of carbonate rocks is crucial for optimizing injection and production strategies.This study reconstructed three-dimensional digital models of fractured carbonate rocks from the L gas field using micro-CT scanning technology.Utilizing the finite element method,we investigated the microscopic permeability characteristics of carbonate rocks and analyzed the impact of stress loading direction and confining stress on stress sensitivity.The findings reveal that the stress loading direction significantly influences the stress sensitivity of fractured carbonate rocks.When a stress of 60 MPa is applied perpendicular to the fracture direction,the permeability reduction ratio can reach 17.32%.In contrast,when the same stress is applied parallel to the fracture direction,the permeability reduction ratio is only 4.82%.Furthermore,a simulation of UHS with cyclic injection and production of H2 in the target block was conducted.When both permeability and porosity stress sensitivity were considered,the working gas volume for UHS decreased by only 3.4%,demonstrating that fractured carbonate reservoirs are feasible candidates for constructing underground hydrogen storage.
