At present, enhancing the digital literacy of village cadres faces practical constraints such as governance capability gaps induced by the second-level digital divide, the absence of a systematic cultivation system, i...At present, enhancing the digital literacy of village cadres faces practical constraints such as governance capability gaps induced by the second-level digital divide, the absence of a systematic cultivation system, incomplete last-kilometer implementation for translating skills into practice, and inadequate incentive mechanisms. As a novel educational form deeply integrating digital information technology with teaching and learning, distance open education provides multi-directional empowerment for enhancing village cadres digital literacy. This is achieved through open learning methods, the application of modern digital technologies, tailored learning programs, and the establishment of "overpass bridges" for translating learning outcomes into practice. Based on this, it is essential to further streamline the pathways for educating and cultivating village cadres, vigorously promote the digitalization of teaching, practice, and support services, develop systematic and localized digital education resources, and actively explore and establish a complementary credit bank system for their digital literacy cultivation.展开更多
The evolution of cities into digitally managed environments requires computational systems that can operate in real time while supporting predictive and adaptive infrastructure management.Earlier approaches have often...The evolution of cities into digitally managed environments requires computational systems that can operate in real time while supporting predictive and adaptive infrastructure management.Earlier approaches have often advanced one dimension—such as Internet of Things(IoT)-based data acquisition,Artificial Intelligence(AI)-driven analytics,or digital twin visualization—without fully integrating these strands into a single operational loop.As a result,many existing solutions encounter bottlenecks in responsiveness,interoperability,and scalability,while also leaving concerns about data privacy unresolved.This research introduces a hybrid AI–IoT–Digital Twin framework that combines continuous sensing,distributed intelligence,and simulation-based decision support.The design incorporates multi-source sensor data,lightweight edge inference through Convolutional Neural Networks(CNN)and Long ShortTerm Memory(LSTM)models,and federated learning enhanced with secure aggregation and differential privacy to maintain confidentiality.A digital twin layer extends these capabilities by simulating city assets such as traffic flows and water networks,generating what-if scenarios,and issuing actionable control signals.Complementary modules,including model compression and synchronization protocols,are embedded to ensure reliability in bandwidth-constrained and heterogeneous urban environments.The framework is validated in two urban domains:traffic management,where it adapts signal cycles based on real-time congestion patterns,and pipeline monitoring,where it anticipates leaks through pressure and vibration data.Experimental results show a 28%reduction in response time,a 35%decrease in maintenance costs,and a marked reduction in false positives relative to conventional baselines.The architecture also demonstrates stability across 50+edge devices under federated training and resilience to uneven node participation.The proposed system provides a scalable and privacy-aware foundation for predictive urban infrastructure management.By closing the loop between sensing,learning,and control,it reduces operator dependence,enhances resource efficiency,and supports transparent governance models for emerging smart cities.展开更多
Background:Intrinsic capacity reflects the overall health status of older adults and decline in intrinsic abilities can lead to adverse health outcomes.However,empirical studies examining the association between digit...Background:Intrinsic capacity reflects the overall health status of older adults and decline in intrinsic abilities can lead to adverse health outcomes.However,empirical studies examining the association between digital health literacy,health-promoting lifestyles and intrinsic capacity are scarce.Methods:A cross-sectional study was conducted.Using convenience sampling method,371 older adults were recruited from communities.Multidimensional intrinsic capacity,digital health literacy,health promoting lifestyle and sociodemographic information were measured.Results:The intrinsic capacity of older adults scored 3.75±1.10.The prevalences of declined cognitive capacity,psychological capacity,sensory capacity,vitality,and locomotor capacity were 13.7%,24.3%,19.1%,14.8%,53.1%,respectively.The multiple regression analysis revealed that age(β=−0.253),only living with children and/or grandchildren(β=0.249),current working status(β=−0.132),number of chronic diseases(β=−0.149),frequency of Internet usage(β=0.193),the domain of ability to acquire and evaluate digital health information(β=0.197)in digital health literacy,and the domain of nutrition(β=0.171)in health-promoting lifestyle were the significant factors influencing intrinsic capacity,explaining 27.1%of the variance.Conclusion:Digital health literacy and health-promoting lifestyle have a significant impact on intrinsic capacity.Enhancing digital health literacy and advocating a health-promoting lifestyle are critical to promoting intrinsic capacity for community-dwelling older adults.展开更多
The integration of digital twin(DT)technology with microseismic(MS)monitoring for evaluating the dynamic response of high-arch dams remains under-explored.This paper investigates the application of MS monitoring on th...The integration of digital twin(DT)technology with microseismic(MS)monitoring for evaluating the dynamic response of high-arch dams remains under-explored.This paper investigates the application of MS monitoring on the Dagangshan high-arch dam during its normal water storage operating period to assess potential damage.The study analyzes the MS characteristics of the dam during the Luding earthquake(Ms=6.8).A framework for constructing a damage driven DT model of a high-arch dam is proposed.The DT model is capable of self-updating its mechanical parameters based on MS data.Seismic response calculations are conducted utilizing cloud computing,allowing for the direct presentation of results within the DT model.The results indicate a high-risk area of the Dagangshan arch dam,characterized by significantMS deformation,primarily centered on the arch crown beam.This zone encompasses dam sections Nos.5-6,10-11,13-16,and 19-20,all located above 1030 m elevation.Under seismic loading,the arch dam exhibits a back-and-forth movement along the river,ultimately reaching a stable state.Following the earthquake,the stress state of the dam does not experience substantial changes.The average relative error between numerical results and measured peak ground acceleration values is 17%when considering the cumulative effect of damage,compared to 36%when neglecting this effect.This study presents a more reliable approach for assessing the state of dams.展开更多
Objectives This systematic review aimed to identify effective and cost-effective digital health interventions to improve self-management behaviors,blood pressure control,and cardiovascular risk reduction.Methods A sea...Objectives This systematic review aimed to identify effective and cost-effective digital health interventions to improve self-management behaviors,blood pressure control,and cardiovascular risk reduction.Methods A search for randomized and non-randomized control trials of digital health interventions among patients with uncontrolled hypertension was conducted from the databases of Embase,PubMed,Scopus,CINAHL,Web of Science,PsycINFO,Thai Journal Online(ThaiJO),the Faculty of Nursing Mahidol University(FON-MU)Nursing Research Database,and gray literature.After conducting the literature screening,the authors completed data extraction,and the risk of bias was assessed using the Joanna Briggs Institute randomized controlled trial checklist and the Joanna Briggs Institute critical appraisal checklist for quasi-experimental studies.Results The study included 22 articles,comprising 30 to 4,118 patients with uncontrolled hypertension.This review classified and summarized the components of digital health interventions and their effects on hypertensive outcomes.It was found that the key elements of digital health interventions include health education,reminders,self-monitoring,feedback and consultation,and instrumental support.Moreover,approximately 81.81%(n=18)of the digital health interventions involved healthcare providers participating in feedback and consultation.Additionally,digital health interventions effectively improve hypertensive outcomes such as self-management behaviors,blood pressure control,and cardiovascular risk reduction,providing cost-effectiveness.Conclusion Based on the available literature,digital health interventions have been shown to effectively enhance behavioral,clinical,and economic outcomes for individuals with uncontrolled hypertension.Moreover,the combination of digital health interventions and healthcare providers’interventions can potentially help patients with uncontrolled hypertension improve adherence to self-management when compared to stand-alone digital health interventions.Digital health interventions to support self-management interventions should be developed for patients by healthcare providers.展开更多
Deep-time Earth research plays a pivotal role in deciphering the rates,patterns,and mechanisms of Earth's evolutionary processes throughout geological history,providing essential scientific foundations for climate...Deep-time Earth research plays a pivotal role in deciphering the rates,patterns,and mechanisms of Earth's evolutionary processes throughout geological history,providing essential scientific foundations for climate prediction,natural resource exploration,and sustainable planetary stewardship.To advance Deep-time Earth research in the era of big data and artificial intelligence,the International Union of Geological Sciences initiated the“Deeptime Digital Earth International Big Science Program”(DDE)in 2019.At the core of this ambitious program lies the development of geoscience knowledge graphs,serving as a transformative knowledge infrastructure that enables the integration,sharing,mining,and analysis of heterogeneous geoscience big data.The DDE knowledge graph initiative has made significant strides in three critical dimensions:(1)establishing a unified knowledge structure across geoscience disciplines that ensures consistent representation of geological entities and their interrelationships through standardized ontologies and semantic frameworks;(2)developing a robust and scalable software infrastructure capable of supporting both expert-driven and machine-assisted knowledge engineering for large-scale graph construction and management;(3)implementing a comprehensive three-tiered architecture encompassing basic,discipline-specific,and application-oriented knowledge graphs,spanning approximately 20 geoscience disciplines.Through its open knowledge framework and international collaborative network,this initiative has fostered multinational research collaborations,establishing a robust foundation for next-generation geoscience research while propelling the discipline toward FAIR(Findable,Accessible,Interoperable,Reusable)data practices in deep-time Earth systems research.展开更多
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
Coral reef limestone(CRL)constitutes a distinctive marine carbonate formation with complex mechanical properties.This study investigates the multiscale damage and fracture mechanisms of CRL through integrated experime...Coral reef limestone(CRL)constitutes a distinctive marine carbonate formation with complex mechanical properties.This study investigates the multiscale damage and fracture mechanisms of CRL through integrated experimental testing,digital core technology,and theoretical modelling.Two CRL types with contrasting mesostructures were characterized across three scales.Macroscopically,CRL-I and CRL-II exhibited mean compressive strengths of 8.46 and 5.17 MPa,respectively.Mesoscopically,CRL-I featured small-scale highly interconnected pores,whilst CRL-II developed larger stratified pores with diminished connectivity.Microscopically,both CRL matrices demonstrated remarkable similarity in mineral composition and mechanical properties.A novel voxel average-based digital core scaling methodology was developed to facilitate numerical simulation of cross-scale damage processes,revealing network-progressive failure in CRL-I versus directional-brittle failure in CRL-II.Furthermore,a damage statistical constitutive model based on digital core technology and mesoscopic homogenisation theory established quantitative relationships between microelement strength distribution and macroscopic mechanical behavior.These findings illuminate the fundamental mechanisms through which mesoscopic structure governs the macroscopic mechanical properties of CRL.展开更多
For uncertainty quantification of complex models with high-dimensional,nonlinear,multi-component coupling like digital twins,traditional statistical sampling methods,such as random sampling and Latin hypercube samplin...For uncertainty quantification of complex models with high-dimensional,nonlinear,multi-component coupling like digital twins,traditional statistical sampling methods,such as random sampling and Latin hypercube sampling,require a large number of samples,which entails huge computational costs.Therefore,how to construct a small-size sample space has been a hot issue of interest for researchers.To this end,this paper proposes a sequential search-based Latin hypercube sampling scheme to generate efficient and accurate samples for uncertainty quantification.First,the sampling range of the samples is formed by carving the polymorphic uncertainty based on theoretical analysis.Then,the optimal Latin hypercube design is selected using the Latin hypercube sampling method combined with the"space filling"criterion.Finally,the sample selection function is established,and the next most informative sample is optimally selected to obtain the sequential test sample.Compared with the classical sampling method,the generated samples can retain more information on the basis of sparsity.A series of numerical experiments are conducted to demonstrate the superiority of the proposed sequential search-based Latin hypercube sampling scheme,which is a way to provide reliable uncertainty quantification results with small sample sizes.展开更多
In an industrial park in Chonburi Province,about one-hour drive from the Thai capital of Bangkok,robotic arms on production lines move up and down,material-handling robots carrying components shuttle back and forth,an...In an industrial park in Chonburi Province,about one-hour drive from the Thai capital of Bangkok,robotic arms on production lines move up and down,material-handling robots carrying components shuttle back and forth,and Ferris wheel-shaped overhead tracks transport semi-finished products to the next destination.A factory equipped with a dedicated 5G network glows with automation,digitization,and intelligence.This is a fruit of China-Thailand cooperation on the digital economy.In recent years,Thailand’s digital economy has achieved rapid development with an average annual growth rate exceeding 15 percent,making it a star performer in Southeast Asia’s digital transformation.Chinese technology and solutions have played a pivotal role in this process.展开更多
Digital twin is considered the key technique for real-time monitoring and life-cycle management of electric equipment.To construct the digital twin model of electric equipment,a multi-parameter electromagnetic analysi...Digital twin is considered the key technique for real-time monitoring and life-cycle management of electric equipment.To construct the digital twin model of electric equipment,a multi-parameter electromagnetic analysis is needed to generate a large amount of high fidelity data under various working condition.However,repeated solving such multi-parameter electromagnetic problems based on full order finite element method may lead to extreme scale calculations.To address this issue,a hybrid approach that combines tensor decomposition and proper orthogonal decomposition(POD)is introduced,which can effectively establish a reduced order model for multi-parameter electromagnetic field problems.The performance of the proposed approach is illustrated through three numerical examples,namely an electrical motor,a transformer and a voice coil actuator including parameter variations of operating conditions,geometric parameters,and material parameters.The numerical results show that the proposed hybrid approach has significant advantage compared to conventional reduced order model in situation where the solution changes dramatically within the parameter variation range and even more apparent when the parameter dimension is high.展开更多
Following the global economy’s shift toward a digital-based system,the significance of digital transformation(DT)at the firm level has become increasingly important.Accordingly,this study aims to enhance understandin...Following the global economy’s shift toward a digital-based system,the significance of digital transformation(DT)at the firm level has become increasingly important.Accordingly,this study aims to enhance understanding of a firm’s DT by examining the varying impacts ofirm life cycle(FLC)stages on DT adoption.We consider the impact of the mass entrepreneur and innovation campaign(MEIC)on this relationship.Based on the data of China A-share non-financial companies listed on the Shanghai and Shenzhen stock exchanges from 2010 to 2020.The baseline findings reveal that firms in the growth stage are likelier to adopt DT than firms in the introduction and decline stages;however,DT adoption in the maturity stage is uncertain.MEIC encourages DT adoption during the introduction,maturity,and decline stages.Furthermore,the univariate test demonstrates a relative enhancement in DT after implementing MEIC,underscoring its role in effectively allocating resources within the firms to embrace DT.This study’s results are robust across various estimation techniques and instrumental variables.The empirical results offer insights into policy implications,highlighting the factors shaping firms’DT adoption decisions at different FLC stages and endorsing resource-based and agency theories.展开更多
Neoliberal economic policies implemented by the Justice and Development Party(AKP)in Turkey empowered the modernization process which is one of the main dynamics of transforming traditional societies.As a result of th...Neoliberal economic policies implemented by the Justice and Development Party(AKP)in Turkey empowered the modernization process which is one of the main dynamics of transforming traditional societies.As a result of this socio-economic transformation,new institutions and technical developments evolved,without any relation to religion or its institutions(Zubaida,2011).In fact,this course has accelerated the individualization process of the religiously educated Generation Z in Turkey,whereas the significance of collective religious identity shrank(Kara,2014).The expansion of social media platforms has influenced young people’s relationship with religion and faith.However,after the Gezi Parki protests in 2013,the government started using a more populist discourse with regard to religious and nationalist symbols.This type of political communication had a crucial impact on the political arena.This research sheds light on the result of a qualitative analysis,based on interviews conducted with Imam Hatip school students in Turkey.The results of these in-depth interviews show how digital media is creating a new ecosystem based on self-identity(Giddens,1991).展开更多
The growing energy demand of buildings, driven by rapid urbanization, poses significant challenges for sustainable urban development. As buildings account for over 40% of global energy consumption, innovative solution...The growing energy demand of buildings, driven by rapid urbanization, poses significant challenges for sustainable urban development. As buildings account for over 40% of global energy consumption, innovative solutions are needed to improve efficiency, resilience, and environmental performance. This paper reviews the integration of Digital Twin (DT) technologies and Machine Learning (ML) for optimizing energy management in smart buildings connected to smart grids. A key enabler of this integration is the Internet of Things (IoT), which provides the sensor networks and real-time data streams that fee/d DT–ML frameworks, enabling accurate monitoring, forecasting, and adaptive control. Through this synergy, DT–ML systems enhance energy prediction, occupant comfort, and automated fault detection, while also supporting broader sustainability goals. The review examines recent advances in DT–ML energy systems, with attention to enabling technologies such as IoT sensor networks, building energy management systems, edge–cloud computing, and advanced analytics. Key challenges including data interoperability, cybersecurity, scalability, and the need for standardized frameworks are critically discussed, along with emerging solutions such as federated learning and blockchain. Special focus is given to human-centric digital twin frameworks that integrate user comfort and behavioral adaptation into energy optimization strategies. The findings suggest that DT–ML integration, enabled by IoT sensor networks, has the potential to significantly reduce energy consumption, lower operational costs, and improve resilience in urban infrastructures. The paper concludes by outlining future research priorities, including decentralized learning models, universal data standards, enhanced privacy protocols, and expanding digital twin applications for distributed renewable energy resources.展开更多
With the emergence of new media,traditional art forms have also undergone further transformations,revealing their inherent vitality in the media age,as exemplified by the embodied perception of theatrical spaces and s...With the emergence of new media,traditional art forms have also undergone further transformations,revealing their inherent vitality in the media age,as exemplified by the embodied perception of theatrical spaces and stages in video games.The game“Layers of Fear”begins with ancient Horror and immersive artistic illusions,constructing a unique atopia space within the game.The game evokes theatrical memories through“haunted”mansions and paintings,highlighting the dramatic nature of the game and thus building a theatrical pathway at the game’s design level.The game also features unique digital avatars that materialize the player’s presence,further exploring this pathway.Using embodiment as a medium,and visual immersion and the perception of Horror as bridges,further experimentation with digital avatars gradually expands the player’s world and brings the player’s character to the audience.In the virtual world,digital avatars retain the immersion of fiction and illusion,and also imply the possibility of immersive theater practice on digital interfaces.The immersive digital theater of illusion will ultimately be staged in video games and completed in virtual reality games.展开更多
Objective:To understand the current situation of career planning awareness and readiness of freshman medical students with a background in digital medicine,and to provide references for optimizing the medical educatio...Objective:To understand the current situation of career planning awareness and readiness of freshman medical students with a background in digital medicine,and to provide references for optimizing the medical education system and career guidance.Methods:A cross-sectional study was conducted on freshman medical students at a university in Yunnan Province using questionnaire survey.Results:A total of 272 questionnaires were distributed and 264 valid questionnaires were returned,yielding an effective response rate of 97.10%.The average score of digital medical awareness of freshman medical students was(70.50±8.81),and 63.63%of the students had a high awareness(score≧70);The average score of career planning awareness and readiness of freshman medical students was(91.76±14.87),and 60.63%of students had high awareness and readiness(score≧90).Pearson correlation analysis showed that the total score of digital medical awareness was positively correlated with the total score of career planning awareness and readiness(r=0.13,P<0.05).Conclusion:Freshman medical students’career planning awareness and readiness are generally good,but their practical application of digital medical-related skills still needs improvement.It is suggested that schools strengthen the integration of interdisciplinary curriculum,introduce digital vocational training modules,and formulate differentiated guidance strategies for different majors to enhance students’professional competitiveness in the digital medical era.展开更多
Subjective well-being is a key indicator of quality of life and a crucial factor for successful aging among older adults.However,few studies have explored the subjective well-being among older adults from the perspect...Subjective well-being is a key indicator of quality of life and a crucial factor for successful aging among older adults.However,few studies have explored the subjective well-being among older adults from the perspective of digital literacy.Therefore,this study explores the relationship between digital literacy and subjective well-being using data on 4270 older adults from the 2020 China Family Panel Studies(CFPS)dataset.PROCESS mediation analysis results indicated digital literacy is associated with higher subjective well-being among the older adults.Digital literacy was associated with the frequency of physical exercise and consumption.Moreover,Digital literacy can also enhance the subjective well-being among older adults by increasing the frequency of physical exercise,and consumption,and a chain mediator subjective well-being.These findings align with the theoretical framework of digital health literacy.Theory which posits that health information obtained through digital literacy can help older adults better engage in healthy lifestyles,thereby enhancing their quality of life.These findings hold significant practical implications for enhancing the subjective well-being among older adults and advancing the development of successful aging.展开更多
Unlike earlier innovations that focused on manipulation and task precision,the latest surgical advancements emphasize data visualization and the acceleration of surgeons’decision-making.Before entering the operating ...Unlike earlier innovations that focused on manipulation and task precision,the latest surgical advancements emphasize data visualization and the acceleration of surgeons’decision-making.Before entering the operating room,digital tools help surgeons develop patient-specific approaches,outline procedural steps,and prepare strategies for managing potential crises.During the operation,relevant data appear at the right moment to assist decision-making and guide performance in formats tailored to the surgeon’s physical and cognitive state,all without causing distractions.In the future operating room,performance data from surgeons will be gathered,integrated,and analyzed to interpret surgeons’behavior and confidence.Advanced techniques,including artificial intelligence,can be employed to automatically detect moments of performance difficulty or cognitive overload.As a result,digital surgery provides timely,context-specific assistance to surgeons in high-stakes situations.Key components of digital surgery are highlighted in this narrative review.展开更多
基金Supported by Science Research Fund Project of Yunnan Provincial Department of Education-Research on the Pathways for Distance Open Education to Empower the Enhancement of Digital Literacy and Skills of Rural"Leading Geese"in Ethnic Areas(2023J0792)The Ideological and Political Education Reform Project of Yunnan Province in 2022-Exploration and Practice of Integrating Ideological and Political Education into the Training Mode of"Leading Goose"Talents for Rural Revitalization in the Course of Agricultural and Forestry Economics and Management in Open Education.
文摘At present, enhancing the digital literacy of village cadres faces practical constraints such as governance capability gaps induced by the second-level digital divide, the absence of a systematic cultivation system, incomplete last-kilometer implementation for translating skills into practice, and inadequate incentive mechanisms. As a novel educational form deeply integrating digital information technology with teaching and learning, distance open education provides multi-directional empowerment for enhancing village cadres digital literacy. This is achieved through open learning methods, the application of modern digital technologies, tailored learning programs, and the establishment of "overpass bridges" for translating learning outcomes into practice. Based on this, it is essential to further streamline the pathways for educating and cultivating village cadres, vigorously promote the digitalization of teaching, practice, and support services, develop systematic and localized digital education resources, and actively explore and establish a complementary credit bank system for their digital literacy cultivation.
基金The researchers would like to thank the Deanship of Graduate Studies and Scientific Research at Qassim University for financial support(QU-APC-2025)。
文摘The evolution of cities into digitally managed environments requires computational systems that can operate in real time while supporting predictive and adaptive infrastructure management.Earlier approaches have often advanced one dimension—such as Internet of Things(IoT)-based data acquisition,Artificial Intelligence(AI)-driven analytics,or digital twin visualization—without fully integrating these strands into a single operational loop.As a result,many existing solutions encounter bottlenecks in responsiveness,interoperability,and scalability,while also leaving concerns about data privacy unresolved.This research introduces a hybrid AI–IoT–Digital Twin framework that combines continuous sensing,distributed intelligence,and simulation-based decision support.The design incorporates multi-source sensor data,lightweight edge inference through Convolutional Neural Networks(CNN)and Long ShortTerm Memory(LSTM)models,and federated learning enhanced with secure aggregation and differential privacy to maintain confidentiality.A digital twin layer extends these capabilities by simulating city assets such as traffic flows and water networks,generating what-if scenarios,and issuing actionable control signals.Complementary modules,including model compression and synchronization protocols,are embedded to ensure reliability in bandwidth-constrained and heterogeneous urban environments.The framework is validated in two urban domains:traffic management,where it adapts signal cycles based on real-time congestion patterns,and pipeline monitoring,where it anticipates leaks through pressure and vibration data.Experimental results show a 28%reduction in response time,a 35%decrease in maintenance costs,and a marked reduction in false positives relative to conventional baselines.The architecture also demonstrates stability across 50+edge devices under federated training and resilience to uneven node participation.The proposed system provides a scalable and privacy-aware foundation for predictive urban infrastructure management.By closing the loop between sensing,learning,and control,it reduces operator dependence,enhances resource efficiency,and supports transparent governance models for emerging smart cities.
基金funded by the College Students’Innovation and Entrepreneurship Program(X2024110650385).
文摘Background:Intrinsic capacity reflects the overall health status of older adults and decline in intrinsic abilities can lead to adverse health outcomes.However,empirical studies examining the association between digital health literacy,health-promoting lifestyles and intrinsic capacity are scarce.Methods:A cross-sectional study was conducted.Using convenience sampling method,371 older adults were recruited from communities.Multidimensional intrinsic capacity,digital health literacy,health promoting lifestyle and sociodemographic information were measured.Results:The intrinsic capacity of older adults scored 3.75±1.10.The prevalences of declined cognitive capacity,psychological capacity,sensory capacity,vitality,and locomotor capacity were 13.7%,24.3%,19.1%,14.8%,53.1%,respectively.The multiple regression analysis revealed that age(β=−0.253),only living with children and/or grandchildren(β=0.249),current working status(β=−0.132),number of chronic diseases(β=−0.149),frequency of Internet usage(β=0.193),the domain of ability to acquire and evaluate digital health information(β=0.197)in digital health literacy,and the domain of nutrition(β=0.171)in health-promoting lifestyle were the significant factors influencing intrinsic capacity,explaining 27.1%of the variance.Conclusion:Digital health literacy and health-promoting lifestyle have a significant impact on intrinsic capacity.Enhancing digital health literacy and advocating a health-promoting lifestyle are critical to promoting intrinsic capacity for community-dwelling older adults.
基金supported by the National Natural Science Foundation of China(Grant Nos.52379098 and 42122052)the Liaoning XingLiao Talent Program(Grant No.XLYC2203008).
文摘The integration of digital twin(DT)technology with microseismic(MS)monitoring for evaluating the dynamic response of high-arch dams remains under-explored.This paper investigates the application of MS monitoring on the Dagangshan high-arch dam during its normal water storage operating period to assess potential damage.The study analyzes the MS characteristics of the dam during the Luding earthquake(Ms=6.8).A framework for constructing a damage driven DT model of a high-arch dam is proposed.The DT model is capable of self-updating its mechanical parameters based on MS data.Seismic response calculations are conducted utilizing cloud computing,allowing for the direct presentation of results within the DT model.The results indicate a high-risk area of the Dagangshan arch dam,characterized by significantMS deformation,primarily centered on the arch crown beam.This zone encompasses dam sections Nos.5-6,10-11,13-16,and 19-20,all located above 1030 m elevation.Under seismic loading,the arch dam exhibits a back-and-forth movement along the river,ultimately reaching a stable state.Following the earthquake,the stress state of the dam does not experience substantial changes.The average relative error between numerical results and measured peak ground acceleration values is 17%when considering the cumulative effect of damage,compared to 36%when neglecting this effect.This study presents a more reliable approach for assessing the state of dams.
基金the support provided by the 2D43 TW009883 D43 Post-Doctoral Program at the School of Nursing,University of Michigan,USA。
文摘Objectives This systematic review aimed to identify effective and cost-effective digital health interventions to improve self-management behaviors,blood pressure control,and cardiovascular risk reduction.Methods A search for randomized and non-randomized control trials of digital health interventions among patients with uncontrolled hypertension was conducted from the databases of Embase,PubMed,Scopus,CINAHL,Web of Science,PsycINFO,Thai Journal Online(ThaiJO),the Faculty of Nursing Mahidol University(FON-MU)Nursing Research Database,and gray literature.After conducting the literature screening,the authors completed data extraction,and the risk of bias was assessed using the Joanna Briggs Institute randomized controlled trial checklist and the Joanna Briggs Institute critical appraisal checklist for quasi-experimental studies.Results The study included 22 articles,comprising 30 to 4,118 patients with uncontrolled hypertension.This review classified and summarized the components of digital health interventions and their effects on hypertensive outcomes.It was found that the key elements of digital health interventions include health education,reminders,self-monitoring,feedback and consultation,and instrumental support.Moreover,approximately 81.81%(n=18)of the digital health interventions involved healthcare providers participating in feedback and consultation.Additionally,digital health interventions effectively improve hypertensive outcomes such as self-management behaviors,blood pressure control,and cardiovascular risk reduction,providing cost-effectiveness.Conclusion Based on the available literature,digital health interventions have been shown to effectively enhance behavioral,clinical,and economic outcomes for individuals with uncontrolled hypertension.Moreover,the combination of digital health interventions and healthcare providers’interventions can potentially help patients with uncontrolled hypertension improve adherence to self-management when compared to stand-alone digital health interventions.Digital health interventions to support self-management interventions should be developed for patients by healthcare providers.
基金Strategic Priority Research Program of the Chinese Academy of Sciences,No.XDB0740000National Key Research and Development Program of China,No.2022YFB3904200,No.2022YFF0711601+1 种基金Key Project of Innovation LREIS,No.PI009National Natural Science Foundation of China,No.42471503。
文摘Deep-time Earth research plays a pivotal role in deciphering the rates,patterns,and mechanisms of Earth's evolutionary processes throughout geological history,providing essential scientific foundations for climate prediction,natural resource exploration,and sustainable planetary stewardship.To advance Deep-time Earth research in the era of big data and artificial intelligence,the International Union of Geological Sciences initiated the“Deeptime Digital Earth International Big Science Program”(DDE)in 2019.At the core of this ambitious program lies the development of geoscience knowledge graphs,serving as a transformative knowledge infrastructure that enables the integration,sharing,mining,and analysis of heterogeneous geoscience big data.The DDE knowledge graph initiative has made significant strides in three critical dimensions:(1)establishing a unified knowledge structure across geoscience disciplines that ensures consistent representation of geological entities and their interrelationships through standardized ontologies and semantic frameworks;(2)developing a robust and scalable software infrastructure capable of supporting both expert-driven and machine-assisted knowledge engineering for large-scale graph construction and management;(3)implementing a comprehensive three-tiered architecture encompassing basic,discipline-specific,and application-oriented knowledge graphs,spanning approximately 20 geoscience disciplines.Through its open knowledge framework and international collaborative network,this initiative has fostered multinational research collaborations,establishing a robust foundation for next-generation geoscience research while propelling the discipline toward FAIR(Findable,Accessible,Interoperable,Reusable)data practices in deep-time Earth systems research.
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.
基金National Key Research and Development Program of China (No.2021YFC3100800)the National Natural Science Foundation of China (Nos.42407235 and 42271026)+1 种基金the Project of Sanya Yazhou Bay Science and Technology City (No.SCKJ-JYRC-2023-54)supported by the Hefei advanced computing center
文摘Coral reef limestone(CRL)constitutes a distinctive marine carbonate formation with complex mechanical properties.This study investigates the multiscale damage and fracture mechanisms of CRL through integrated experimental testing,digital core technology,and theoretical modelling.Two CRL types with contrasting mesostructures were characterized across three scales.Macroscopically,CRL-I and CRL-II exhibited mean compressive strengths of 8.46 and 5.17 MPa,respectively.Mesoscopically,CRL-I featured small-scale highly interconnected pores,whilst CRL-II developed larger stratified pores with diminished connectivity.Microscopically,both CRL matrices demonstrated remarkable similarity in mineral composition and mechanical properties.A novel voxel average-based digital core scaling methodology was developed to facilitate numerical simulation of cross-scale damage processes,revealing network-progressive failure in CRL-I versus directional-brittle failure in CRL-II.Furthermore,a damage statistical constitutive model based on digital core technology and mesoscopic homogenisation theory established quantitative relationships between microelement strength distribution and macroscopic mechanical behavior.These findings illuminate the fundamental mechanisms through which mesoscopic structure governs the macroscopic mechanical properties of CRL.
基金co-supported by the National Natural Science Foundation of China(Nos.51875014,U2233212 and 51875015)the Natural Science Foundation of Beijing Municipality,China(No.L221008)+1 种基金Science,Technology Innovation 2025 Major Project of Ningbo of China(No.2022Z005)the Tianmushan Laboratory Project,China(No.TK2023-B-001)。
文摘For uncertainty quantification of complex models with high-dimensional,nonlinear,multi-component coupling like digital twins,traditional statistical sampling methods,such as random sampling and Latin hypercube sampling,require a large number of samples,which entails huge computational costs.Therefore,how to construct a small-size sample space has been a hot issue of interest for researchers.To this end,this paper proposes a sequential search-based Latin hypercube sampling scheme to generate efficient and accurate samples for uncertainty quantification.First,the sampling range of the samples is formed by carving the polymorphic uncertainty based on theoretical analysis.Then,the optimal Latin hypercube design is selected using the Latin hypercube sampling method combined with the"space filling"criterion.Finally,the sample selection function is established,and the next most informative sample is optimally selected to obtain the sequential test sample.Compared with the classical sampling method,the generated samples can retain more information on the basis of sparsity.A series of numerical experiments are conducted to demonstrate the superiority of the proposed sequential search-based Latin hypercube sampling scheme,which is a way to provide reliable uncertainty quantification results with small sample sizes.
文摘In an industrial park in Chonburi Province,about one-hour drive from the Thai capital of Bangkok,robotic arms on production lines move up and down,material-handling robots carrying components shuttle back and forth,and Ferris wheel-shaped overhead tracks transport semi-finished products to the next destination.A factory equipped with a dedicated 5G network glows with automation,digitization,and intelligence.This is a fruit of China-Thailand cooperation on the digital economy.In recent years,Thailand’s digital economy has achieved rapid development with an average annual growth rate exceeding 15 percent,making it a star performer in Southeast Asia’s digital transformation.Chinese technology and solutions have played a pivotal role in this process.
基金supported by the UCAS-ULille joint PhD training program and also partially supported within the frame of the EE4.0(Electrical Energy 4.0)project,which is co-financed by the European Union,with the financial support of the European Regional Development Fund(ERDF),the French state,and the French Region of Hautsde-France.
文摘Digital twin is considered the key technique for real-time monitoring and life-cycle management of electric equipment.To construct the digital twin model of electric equipment,a multi-parameter electromagnetic analysis is needed to generate a large amount of high fidelity data under various working condition.However,repeated solving such multi-parameter electromagnetic problems based on full order finite element method may lead to extreme scale calculations.To address this issue,a hybrid approach that combines tensor decomposition and proper orthogonal decomposition(POD)is introduced,which can effectively establish a reduced order model for multi-parameter electromagnetic field problems.The performance of the proposed approach is illustrated through three numerical examples,namely an electrical motor,a transformer and a voice coil actuator including parameter variations of operating conditions,geometric parameters,and material parameters.The numerical results show that the proposed hybrid approach has significant advantage compared to conventional reduced order model in situation where the solution changes dramatically within the parameter variation range and even more apparent when the parameter dimension is high.
文摘Following the global economy’s shift toward a digital-based system,the significance of digital transformation(DT)at the firm level has become increasingly important.Accordingly,this study aims to enhance understanding of a firm’s DT by examining the varying impacts ofirm life cycle(FLC)stages on DT adoption.We consider the impact of the mass entrepreneur and innovation campaign(MEIC)on this relationship.Based on the data of China A-share non-financial companies listed on the Shanghai and Shenzhen stock exchanges from 2010 to 2020.The baseline findings reveal that firms in the growth stage are likelier to adopt DT than firms in the introduction and decline stages;however,DT adoption in the maturity stage is uncertain.MEIC encourages DT adoption during the introduction,maturity,and decline stages.Furthermore,the univariate test demonstrates a relative enhancement in DT after implementing MEIC,underscoring its role in effectively allocating resources within the firms to embrace DT.This study’s results are robust across various estimation techniques and instrumental variables.The empirical results offer insights into policy implications,highlighting the factors shaping firms’DT adoption decisions at different FLC stages and endorsing resource-based and agency theories.
文摘Neoliberal economic policies implemented by the Justice and Development Party(AKP)in Turkey empowered the modernization process which is one of the main dynamics of transforming traditional societies.As a result of this socio-economic transformation,new institutions and technical developments evolved,without any relation to religion or its institutions(Zubaida,2011).In fact,this course has accelerated the individualization process of the religiously educated Generation Z in Turkey,whereas the significance of collective religious identity shrank(Kara,2014).The expansion of social media platforms has influenced young people’s relationship with religion and faith.However,after the Gezi Parki protests in 2013,the government started using a more populist discourse with regard to religious and nationalist symbols.This type of political communication had a crucial impact on the political arena.This research sheds light on the result of a qualitative analysis,based on interviews conducted with Imam Hatip school students in Turkey.The results of these in-depth interviews show how digital media is creating a new ecosystem based on self-identity(Giddens,1991).
文摘The growing energy demand of buildings, driven by rapid urbanization, poses significant challenges for sustainable urban development. As buildings account for over 40% of global energy consumption, innovative solutions are needed to improve efficiency, resilience, and environmental performance. This paper reviews the integration of Digital Twin (DT) technologies and Machine Learning (ML) for optimizing energy management in smart buildings connected to smart grids. A key enabler of this integration is the Internet of Things (IoT), which provides the sensor networks and real-time data streams that fee/d DT–ML frameworks, enabling accurate monitoring, forecasting, and adaptive control. Through this synergy, DT–ML systems enhance energy prediction, occupant comfort, and automated fault detection, while also supporting broader sustainability goals. The review examines recent advances in DT–ML energy systems, with attention to enabling technologies such as IoT sensor networks, building energy management systems, edge–cloud computing, and advanced analytics. Key challenges including data interoperability, cybersecurity, scalability, and the need for standardized frameworks are critically discussed, along with emerging solutions such as federated learning and blockchain. Special focus is given to human-centric digital twin frameworks that integrate user comfort and behavioral adaptation into energy optimization strategies. The findings suggest that DT–ML integration, enabled by IoT sensor networks, has the potential to significantly reduce energy consumption, lower operational costs, and improve resilience in urban infrastructures. The paper concludes by outlining future research priorities, including decentralized learning models, universal data standards, enhanced privacy protocols, and expanding digital twin applications for distributed renewable energy resources.
文摘With the emergence of new media,traditional art forms have also undergone further transformations,revealing their inherent vitality in the media age,as exemplified by the embodied perception of theatrical spaces and stages in video games.The game“Layers of Fear”begins with ancient Horror and immersive artistic illusions,constructing a unique atopia space within the game.The game evokes theatrical memories through“haunted”mansions and paintings,highlighting the dramatic nature of the game and thus building a theatrical pathway at the game’s design level.The game also features unique digital avatars that materialize the player’s presence,further exploring this pathway.Using embodiment as a medium,and visual immersion and the perception of Horror as bridges,further experimentation with digital avatars gradually expands the player’s world and brings the player’s character to the audience.In the virtual world,digital avatars retain the immersion of fiction and illusion,and also imply the possibility of immersive theater practice on digital interfaces.The immersive digital theater of illusion will ultimately be staged in video games and completed in virtual reality games.
文摘Objective:To understand the current situation of career planning awareness and readiness of freshman medical students with a background in digital medicine,and to provide references for optimizing the medical education system and career guidance.Methods:A cross-sectional study was conducted on freshman medical students at a university in Yunnan Province using questionnaire survey.Results:A total of 272 questionnaires were distributed and 264 valid questionnaires were returned,yielding an effective response rate of 97.10%.The average score of digital medical awareness of freshman medical students was(70.50±8.81),and 63.63%of the students had a high awareness(score≧70);The average score of career planning awareness and readiness of freshman medical students was(91.76±14.87),and 60.63%of students had high awareness and readiness(score≧90).Pearson correlation analysis showed that the total score of digital medical awareness was positively correlated with the total score of career planning awareness and readiness(r=0.13,P<0.05).Conclusion:Freshman medical students’career planning awareness and readiness are generally good,but their practical application of digital medical-related skills still needs improvement.It is suggested that schools strengthen the integration of interdisciplinary curriculum,introduce digital vocational training modules,and formulate differentiated guidance strategies for different majors to enhance students’professional competitiveness in the digital medical era.
文摘Subjective well-being is a key indicator of quality of life and a crucial factor for successful aging among older adults.However,few studies have explored the subjective well-being among older adults from the perspective of digital literacy.Therefore,this study explores the relationship between digital literacy and subjective well-being using data on 4270 older adults from the 2020 China Family Panel Studies(CFPS)dataset.PROCESS mediation analysis results indicated digital literacy is associated with higher subjective well-being among the older adults.Digital literacy was associated with the frequency of physical exercise and consumption.Moreover,Digital literacy can also enhance the subjective well-being among older adults by increasing the frequency of physical exercise,and consumption,and a chain mediator subjective well-being.These findings align with the theoretical framework of digital health literacy.Theory which posits that health information obtained through digital literacy can help older adults better engage in healthy lifestyles,thereby enhancing their quality of life.These findings hold significant practical implications for enhancing the subjective well-being among older adults and advancing the development of successful aging.
文摘Unlike earlier innovations that focused on manipulation and task precision,the latest surgical advancements emphasize data visualization and the acceleration of surgeons’decision-making.Before entering the operating room,digital tools help surgeons develop patient-specific approaches,outline procedural steps,and prepare strategies for managing potential crises.During the operation,relevant data appear at the right moment to assist decision-making and guide performance in formats tailored to the surgeon’s physical and cognitive state,all without causing distractions.In the future operating room,performance data from surgeons will be gathered,integrated,and analyzed to interpret surgeons’behavior and confidence.Advanced techniques,including artificial intelligence,can be employed to automatically detect moments of performance difficulty or cognitive overload.As a result,digital surgery provides timely,context-specific assistance to surgeons in high-stakes situations.Key components of digital surgery are highlighted in this narrative review.
