Healthy behavior has long been linked to mental health outcomes.However,the role of artificial intelligence(AI)literacy in shaping healthy behaviors and its potential impact on mental health remains underexplored.This...Healthy behavior has long been linked to mental health outcomes.However,the role of artificial intelligence(AI)literacy in shaping healthy behaviors and its potential impact on mental health remains underexplored.This paper presents a scoping review offering a novel perspective on the intersection of healthy behaviors,mental health,and AI literacy.By examining how individuals’understanding of AI influences their choices regarding nutrition and their susceptibility to mental health issues,the current study explores emerging trends in health behavior decision-making.This emphasizes the need for integrating AI literacy into mental health and health behaviors education,as well as the development of AI-driven tools to support healthier behavior choices.It highlights that individuals with low AI literacy may misinterpret or overly depend on AI guidance,resulting in maladaptive health choices,while those with high AI literacy may be more likely to engage reflectively and sustain positive behaviors.The paper outlines the importance of inclusive education,user-centered design,and community-based support systems to enhance AI literacy for digitally marginalized groups.AI literacy may be positioned as a key determinant of health equity,better allowing for interdisciplinary strategies that empower individuals to make informed,autonomous decisions that promote both physical and mental health.展开更多
Artificial intelligence(AI)is increasingly recognized as a transformative force in the field of solid organ transplantation.From enhancing donor-recipient matching to predicting clinical risks and tailoring immunosupp...Artificial intelligence(AI)is increasingly recognized as a transformative force in the field of solid organ transplantation.From enhancing donor-recipient matching to predicting clinical risks and tailoring immunosuppressive therapy,AI has the potential to improve both operational efficiency and patient outcomes.Despite these advancements,the perspectives of transplant professionals-those at the forefront of critical decision-making-remain insufficiently explored.To address this gap,this study utilizes a multi-round electronic Delphi approach to gather and analyses insights from global experts involved in organ transplantation.Participants are invited to complete structured surveys capturing demographic data,professional roles,institutional practices,and prior exposure to AI technologies.The survey also explores perceptions of AI’s potential benefits.Quantitative responses are analyzed using descriptive statistics,while open-ended qualitative responses undergo thematic analysis.Preliminary findings indicate a generally positive outlook on AI’s role in enhancing transplantation processes,particularly in areas such as donor matching and post-operative care.These mixed views reflect both optimism and caution among professionals tasked with integrating new technologies into high-stakes clinical workflows.By capturing a wide range of expert opinions,the findings will inform future policy development,regulatory considerations,and institutional readiness frameworks for the integration of AI into organ transplantation.展开更多
The increasing global prevalence of mild cognitive impairment(MCI)necessitates a paradigm shift in early detection strategies.Conventional neuropsychological assessment methods,predominantly paper-and-pencil tests suc...The increasing global prevalence of mild cognitive impairment(MCI)necessitates a paradigm shift in early detection strategies.Conventional neuropsychological assessment methods,predominantly paper-and-pencil tests such as the Mini-Mental State Examination and the Montreal Cognitive Assessment,exhibit inherent limitations with respect to accessibility,administration burden,and sensitivity to subtle cognitive decline,particularly among diverse populations.This commentary critically examines a recent study that champions a novel approach:The integration of gait and handwriting kinematic parameters analyzed via machine learning for MCI screening.The present study positions itself within the broader landscape of MCI detection,with a view to comparing its advantages against established neuropsychological batteries,advanced neuroimaging(e.g.,positron emission tomography,magnetic resonance imaging),and emerging fluid biomarkers(e.g.,cerebrospinal fluid,blood-based assays).While the study demonstrates promising accuracy(74.44%area under the curve 0.74 with gait and graphic handwriting)and addresses key unmet needs in accessibility and objectivity,we highlight its cross-sectional nature,limited sample diversity,and lack of dual-task assessment as areas for future refinement.This commentary posits that kinematic biomarkers offer a distinctive,scalable,and ecologically valid approach to widespread MCI screening,thereby complementing existing methods by providing real-world functional insights.Future research should prioritize longitudinal validation,expansion to diverse cohorts,integration with multimodal data including dual-tasking,and the development of highly portable,artificial intelligence-driven solutions to achieve the democratization of early MCI detection and enable timely interventions.展开更多
Metabolic dysfunction-associated steatotic liver disease(MASLD)is an increasingly prevalent condition associated with hepatic complications and cardiovascular and renal events.Given its significant clinical impact,the...Metabolic dysfunction-associated steatotic liver disease(MASLD)is an increasingly prevalent condition associated with hepatic complications and cardiovascular and renal events.Given its significant clinical impact,the development of new strategies for early diagnosis and treatment is essential to improve patient outcomes.Over the past decade,the integration of artificial intelligence(AI)into gastroenterology has led to transformative advancements in medical practice.AI represents a major step towards personalized medicine,offering the potential to enhance diagnostic accuracy,refine prognostic assessments,and optimize treatment strategies.Its applications are rapidly expanding.This article explores the emerging role of AI in the management of MASLD,emphasizing its ability to improve clinical prediction,enhance the diagnostic performance of imaging modalities,and support histopathological confirmation.Additionally,it examines the development of AI-guided personalized treatments,where lifestyle modifications and close monitoring play a pivotal role in achieving therapeutic success.展开更多
Designing materials with both structural load-bearing capacity and broadband electromagnetic(EM)wave absorption properties remains a significant challenge.In this work,SiOC/SiC/SiO_(2)composite with gyroid structures ...Designing materials with both structural load-bearing capacity and broadband electromagnetic(EM)wave absorption properties remains a significant challenge.In this work,SiOC/SiC/SiO_(2)composite with gyroid structures were prepared through digital light processing(DLP)3D printing,polymer-derived ceramics(PDCs),chemical vapor infiltration(CVI),and oxidation technologies.The incorporation of the CVISiC phase effectively increases the dissipation capability,while the synergistic interaction between the gyroid structure and SiO_(2)phase significantly improves impedance matching performance.The SiOC/SiC/SiO_(2)composite achieved a minimum reflection loss(RL min)of-62.2 d B at 4.3 mm,and the effective absorption bandwidth(EAB)covered the X-band,with a thickness range of 4.1 mm-4.65 mm.The CST simulation results explain the broadband and low-frequency absorption characteristics,with an EAB of 8.4 GHz(9.6-18 GHz)and an RL min of-21.5 dB at 5 GHz.The excellent EM wave attenuation performance is associated primarily with polarization loss,conduction loss,the gyroid structure's enhancement of multiple reflections and scattering of EM waves,and the resonance effect between the structural units.The SiOC/SiC/SiO_(2)composite also demonstrated strong mechanical properties,with a maximum compressive failure strength of 31.6 MPa in the height direction.This work opens novel prospects for the development of multifunctional structural wave-absorbing materials suitable for broadband microwave absorption and load-bearing properties.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
Digital transformation,as a recent trend in socioeconomic development,is considered as a critical pathway for urban carbon reduction because of its potential to increase productivity and energy efficiency.However,few ...Digital transformation,as a recent trend in socioeconomic development,is considered as a critical pathway for urban carbon reduction because of its potential to increase productivity and energy efficiency.However,few studies have explored the relationship between urban digitalization and carbon emissions(CE).Therefore,this study systematically analyzed the spatiotemporal distribution and interaction mechanism between digitalization and CE in the Yangtze River Delta(YRD)urban agglomerations of China during 2006-2020 based on a multidimensional indicator system,including digitalization industry level,digitalization application level,and urban green digitalization willingness.The findings revealed that both digitalization and CE in the YRD exhibit a significant and synchronously evolving“core-periphery”spatial pattern.Core cities generated substantial positive spillover effect on periphery cities through technology diffusion and policy demonstration,advancing both regional digitalization and the collaborative governance of CE.However,digitalization had dual impact on CE.On the one hand,it promoted the reduction of CE by enhancing energy efficiency,optimizing industrial structures,and promoting the application of green technologies.On the other hand,the expansion of digital infrastructure introduced a potential risk of increased energy consumption.Therefore,targeted policy recommendations are proposed to facilitate the coordination of environmental sustainability and digitalization in the YRD.This study provides empirical support and policy insights for advancing the coordinated development of regional digital transformation and green low-carbon initiatives.展开更多
The combination and application of information technology and higher education have led to changes in the form and mode of teaching management in higher education,promoting the continuous deepening of digital transfor...The combination and application of information technology and higher education have led to changes in the form and mode of teaching management in higher education,promoting the continuous deepening of digital transformation in higher education.This paper discusses higher education management innovation triggered by digital technology and the new appearance of digital university governance,digital evaluation management,and internal governance of higher education.From the perspective of forging new forms,models,and paths of digital management through digital technology,this paper focuses on analyzing the reshaping of management systems by digitalization in higher education.The promotion and inspiration of digitalization on management system reform are provided,including typical features brought about,new paths opened up,and new advantages shaped.It is emphasized that the establishment of digital management system needs to rely on the systematic integration of multiple aspects.Finally,the challenges and solutions faced by the digital management system are deeply analyzed from the aspects of collaborative management and services,management process interoperability,evaluation and trust protection,and personnel digital literacy.Digital technology drives the transformation of higher education management system,resulting in new forms,models,paths,and methods of networked and digital management based on intelligent analysis and processing of educational and teaching data and promoting higher education management toward digital governance.The comprehensive establishment of a digital management system will unleash strong potential for universities to better fulfill their functions,and the high-quality development of higher education will be more solid and powerful.展开更多
This paper makes an in-depth study of the status quo and trend of the development of the big health industry under the background of digitalization,aiming to explore ways to promote the transformation,upgrading and su...This paper makes an in-depth study of the status quo and trend of the development of the big health industry under the background of digitalization,aiming to explore ways to promote the transformation,upgrading and sustainable development of the big health industry through technological innovation and policy guidance,and provide valuable references for the government,enterprises and universities and other stakeholders to promote the high-quality development of the big health industry in the digital era.展开更多
The standards system for cultural heritage digitalization aims to build a clear and logically rigorous framework to guide the development and revision of relevant standards.This system enhances the scientific,systemat...The standards system for cultural heritage digitalization aims to build a clear and logically rigorous framework to guide the development and revision of relevant standards.This system enhances the scientific,systematic,and practical aspects of cultural heritage digitalization.This paper comprehensively analyzes the current status and needs of cultural heritage digitalization and standardization.It further examines the methods used to construct the standards system.Through comparative analysis,it establishes a lifecycle-based framework for cultural heritage.This framework accounts for the unique characteristics of cultural heritage and systematically integrates key processes such as collection,processing,storage,transmission,and utilization of data.The standards system is divided into six sections:general,data,information,knowledge,intelligence,and application.Based on the current digitalization efforts,this paper proposes key standardization directions for each section.This framework ensures the integrity and consistency of data throughout the digitalization process.It also supports the application of intelligent technologies in cultural heritage conservation,contributing to the sustainable preservation and utilization of cultural heritage data.展开更多
In the context of the deepening development of the digital economy,the traditional university-enterprise collaborative innovation and entrepreneurship education model in the field of higher education is facing structu...In the context of the deepening development of the digital economy,the traditional university-enterprise collaborative innovation and entrepreneurship education model in the field of higher education is facing structural contradictions such as inefficient resource integration,loose collaborative mechanisms,and the virtualization of practical teaching.This study reveals the enabling mechanism of digital technology on school-enterprise collaboration and proposes a four-dimensional implementation path of“curriculum system–practice platform–education reform–evaluation system.”Digital technology builds a two-way circulation mechanism of knowledge flow between schools and enterprises through the data middle platform,deepens collaborative education by relying on the virtual co-research platform,innovates the ability cultivation paradigm with technologies such as VR/AR,and constructs a dynamic evaluation system using all-dimensional data.Research shows that digital empowerment can break through the temporal and spatial barriers and information asymmetry of the traditional model,improve the efficiency of resource allocation between schools and enterprises,and increase the conversion rate of students’practical projects.In the future,it is necessary to further expand the application of technology in the top-level design of talent cultivation,improve the cross-departmental policy coordination and ethical review mechanism,and provide theoretical and practical paradigms for cultivating high-quality compound talents with data thinking,innovation ability,and industry adaptability in the digital economy era.展开更多
Assessing the benefits and costs of digitalization in the energy industry is a complex issue.Traditional cost-benefit analysis(CBA)might encounter problems in addressing uncertainties,dynamic stakeholder interactions,...Assessing the benefits and costs of digitalization in the energy industry is a complex issue.Traditional cost-benefit analysis(CBA)might encounter problems in addressing uncertainties,dynamic stakeholder interactions,and feedback loops arising out of the evolving nature of digitalization.This paper introduces a methodological framework to help address the intricate inter connections between digital applications and business models in the energy industry.The proposed framework leverages system dynamics to achieve two primary objectives.It investigates how digitalization generally influences the value proposi-tion,value capture,and value creation dimensions of business models.It also quantifies the financial and social impacts of digitalization from a dynamic perspective.The proposed dynamic CBA allows for a more precise quantification of the benefits and costs,associated with evidence-based decision-making.Findings from an illustrative case study challenge the static assumptions of conventional methods.These methods often presume continuous operation,neglecting reinvestment and operational feedback loops,and resulting in negative net present values.Conversely,the outcomes of the proposed method indicate positive net present values when accounting for factors such as reinvestment rates and the will-ingness to invest in digitalization projects.The principles outlined in this paper can enable a more accu-rate assessment of digitalization projects,thus catalyzing the development of new CBA applications and guidelines for digitalization.展开更多
In response to the current situation of practical teaching and the main problems in the teaching process of cultivating composite talents in the characteristic demonstration software college,this paper analyzes the im...In response to the current situation of practical teaching and the main problems in the teaching process of cultivating composite talents in the characteristic demonstration software college,this paper analyzes the importance of digital reform in practical teaching,introduces the work foundation,main work,reform characteristics,and effects of digital reform in practical teaching of composite talents in Software College of Northeastern University and lays the foundation for future in-depth research,providing reference for the digital reform of practical teaching in related majors of other colleges.展开更多
This study aims to explore the relationship between the driving factors,implementation measures,and effects of financial management digital transformation in the banking industry in Jinan,Shandong Province,China.Faced...This study aims to explore the relationship between the driving factors,implementation measures,and effects of financial management digital transformation in the banking industry in Jinan,Shandong Province,China.Faced with intense competition driven by advancements in financial technology,evolving customer demands,and policy support,digital transformation has become a critical strategy for enhancing operational efficiency and market competitiveness.Leveraging the researcher's extensive professional experience and employing scientific research methods and tools,the study conducted an online survey across multiple banking institutions in Jinan,collecting 305 valid responses from senior management,financial department heads,IT personnel,middle management,and financial and audit staff.The questionnaire was designed around key dimensions of financial management digital transformation,including driving factors,implementation measures,and effect evaluation,covering variables such as technology adoption,process optimization,employee training,data security,and organizational adjustments.Quantitative analysis methods,including reliability analysis,validity analysis,descriptive analysis,regression analysis,and chi-square independence tests,were used to ensure data quality and uncover inherent patterns.The findings reveal significant relationships between driving factors(e.g.,financial technology advancements,market demand,and policy support)and transformation effects(e.g.,operational efficiency,resource allocation,and customer experience),with notable differences in implementation outcomes across different types of banks.Based on these insights,the study provides strategic recommendations for optimizing digital transformation in Jinan's banking industry,aiming to enhance operational efficiency,improve financial service quality,and support sustainable industry development.展开更多
In recent years,with the advent of the era of educational digitalization,the curriculum ideological and political teaching of gerontological nursing in higher vocational colleges has ushered in new development opportu...In recent years,with the advent of the era of educational digitalization,the curriculum ideological and political teaching of gerontological nursing in higher vocational colleges has ushered in new development opportunities.Under the background of educational digitalization,in addition to teaching students’professional knowledge and skills of gerontological nursing,teachers should also focus on improving their ideological and moral literacy,guiding students to establish correct values in their hearts,promoting their all-round development in a true sense,and thus cultivating them into gerontological nursing talents with exquisite medical skills and noble medical ethics.This will better meet the social demand for professional gerontological nursing talents and inject inexhaustible motivation into the development of the elderly care industry.In this regard,this paper first elaborates on the value implication of the curriculum ideological and political teaching reform of higher vocational gerontological nursing under the background of educational digitalization,and then puts forward effective implementation strategies for teaching reform,aiming to provide certain reference for relevant researchers and better improve the effectiveness of curriculum ideological and political education in higher vocational gerontological nursing teaching.展开更多
文摘Healthy behavior has long been linked to mental health outcomes.However,the role of artificial intelligence(AI)literacy in shaping healthy behaviors and its potential impact on mental health remains underexplored.This paper presents a scoping review offering a novel perspective on the intersection of healthy behaviors,mental health,and AI literacy.By examining how individuals’understanding of AI influences their choices regarding nutrition and their susceptibility to mental health issues,the current study explores emerging trends in health behavior decision-making.This emphasizes the need for integrating AI literacy into mental health and health behaviors education,as well as the development of AI-driven tools to support healthier behavior choices.It highlights that individuals with low AI literacy may misinterpret or overly depend on AI guidance,resulting in maladaptive health choices,while those with high AI literacy may be more likely to engage reflectively and sustain positive behaviors.The paper outlines the importance of inclusive education,user-centered design,and community-based support systems to enhance AI literacy for digitally marginalized groups.AI literacy may be positioned as a key determinant of health equity,better allowing for interdisciplinary strategies that empower individuals to make informed,autonomous decisions that promote both physical and mental health.
文摘Artificial intelligence(AI)is increasingly recognized as a transformative force in the field of solid organ transplantation.From enhancing donor-recipient matching to predicting clinical risks and tailoring immunosuppressive therapy,AI has the potential to improve both operational efficiency and patient outcomes.Despite these advancements,the perspectives of transplant professionals-those at the forefront of critical decision-making-remain insufficiently explored.To address this gap,this study utilizes a multi-round electronic Delphi approach to gather and analyses insights from global experts involved in organ transplantation.Participants are invited to complete structured surveys capturing demographic data,professional roles,institutional practices,and prior exposure to AI technologies.The survey also explores perceptions of AI’s potential benefits.Quantitative responses are analyzed using descriptive statistics,while open-ended qualitative responses undergo thematic analysis.Preliminary findings indicate a generally positive outlook on AI’s role in enhancing transplantation processes,particularly in areas such as donor matching and post-operative care.These mixed views reflect both optimism and caution among professionals tasked with integrating new technologies into high-stakes clinical workflows.By capturing a wide range of expert opinions,the findings will inform future policy development,regulatory considerations,and institutional readiness frameworks for the integration of AI into organ transplantation.
文摘The increasing global prevalence of mild cognitive impairment(MCI)necessitates a paradigm shift in early detection strategies.Conventional neuropsychological assessment methods,predominantly paper-and-pencil tests such as the Mini-Mental State Examination and the Montreal Cognitive Assessment,exhibit inherent limitations with respect to accessibility,administration burden,and sensitivity to subtle cognitive decline,particularly among diverse populations.This commentary critically examines a recent study that champions a novel approach:The integration of gait and handwriting kinematic parameters analyzed via machine learning for MCI screening.The present study positions itself within the broader landscape of MCI detection,with a view to comparing its advantages against established neuropsychological batteries,advanced neuroimaging(e.g.,positron emission tomography,magnetic resonance imaging),and emerging fluid biomarkers(e.g.,cerebrospinal fluid,blood-based assays).While the study demonstrates promising accuracy(74.44%area under the curve 0.74 with gait and graphic handwriting)and addresses key unmet needs in accessibility and objectivity,we highlight its cross-sectional nature,limited sample diversity,and lack of dual-task assessment as areas for future refinement.This commentary posits that kinematic biomarkers offer a distinctive,scalable,and ecologically valid approach to widespread MCI screening,thereby complementing existing methods by providing real-world functional insights.Future research should prioritize longitudinal validation,expansion to diverse cohorts,integration with multimodal data including dual-tasking,and the development of highly portable,artificial intelligence-driven solutions to achieve the democratization of early MCI detection and enable timely interventions.
文摘Metabolic dysfunction-associated steatotic liver disease(MASLD)is an increasingly prevalent condition associated with hepatic complications and cardiovascular and renal events.Given its significant clinical impact,the development of new strategies for early diagnosis and treatment is essential to improve patient outcomes.Over the past decade,the integration of artificial intelligence(AI)into gastroenterology has led to transformative advancements in medical practice.AI represents a major step towards personalized medicine,offering the potential to enhance diagnostic accuracy,refine prognostic assessments,and optimize treatment strategies.Its applications are rapidly expanding.This article explores the emerging role of AI in the management of MASLD,emphasizing its ability to improve clinical prediction,enhance the diagnostic performance of imaging modalities,and support histopathological confirmation.Additionally,it examines the development of AI-guided personalized treatments,where lifestyle modifications and close monitoring play a pivotal role in achieving therapeutic success.
基金financially supported by National Natural Science Foundation of China(Grant Nos.12141203,52202083,W2421013)the Natural Science Foundation Project of Shaanxi Province(Grant No.2024JC-YBMS-450)+1 种基金the Sichuan Science and Technology Program(Grant No.2024YFHZ0265)the Open Project of High-end Equipment Advanced Materials and Manufacturing Technology Laboratory(Grant No.2023KFKT0005)。
文摘Designing materials with both structural load-bearing capacity and broadband electromagnetic(EM)wave absorption properties remains a significant challenge.In this work,SiOC/SiC/SiO_(2)composite with gyroid structures were prepared through digital light processing(DLP)3D printing,polymer-derived ceramics(PDCs),chemical vapor infiltration(CVI),and oxidation technologies.The incorporation of the CVISiC phase effectively increases the dissipation capability,while the synergistic interaction between the gyroid structure and SiO_(2)phase significantly improves impedance matching performance.The SiOC/SiC/SiO_(2)composite achieved a minimum reflection loss(RL min)of-62.2 d B at 4.3 mm,and the effective absorption bandwidth(EAB)covered the X-band,with a thickness range of 4.1 mm-4.65 mm.The CST simulation results explain the broadband and low-frequency absorption characteristics,with an EAB of 8.4 GHz(9.6-18 GHz)and an RL min of-21.5 dB at 5 GHz.The excellent EM wave attenuation performance is associated primarily with polarization loss,conduction loss,the gyroid structure's enhancement of multiple reflections and scattering of EM waves,and the resonance effect between the structural units.The SiOC/SiC/SiO_(2)composite also demonstrated strong mechanical properties,with a maximum compressive failure strength of 31.6 MPa in the height direction.This work opens novel prospects for the development of multifunctional structural wave-absorbing materials suitable for broadband microwave absorption and load-bearing properties.
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.
文摘Digital transformation,as a recent trend in socioeconomic development,is considered as a critical pathway for urban carbon reduction because of its potential to increase productivity and energy efficiency.However,few studies have explored the relationship between urban digitalization and carbon emissions(CE).Therefore,this study systematically analyzed the spatiotemporal distribution and interaction mechanism between digitalization and CE in the Yangtze River Delta(YRD)urban agglomerations of China during 2006-2020 based on a multidimensional indicator system,including digitalization industry level,digitalization application level,and urban green digitalization willingness.The findings revealed that both digitalization and CE in the YRD exhibit a significant and synchronously evolving“core-periphery”spatial pattern.Core cities generated substantial positive spillover effect on periphery cities through technology diffusion and policy demonstration,advancing both regional digitalization and the collaborative governance of CE.However,digitalization had dual impact on CE.On the one hand,it promoted the reduction of CE by enhancing energy efficiency,optimizing industrial structures,and promoting the application of green technologies.On the other hand,the expansion of digital infrastructure introduced a potential risk of increased energy consumption.Therefore,targeted policy recommendations are proposed to facilitate the coordination of environmental sustainability and digitalization in the YRD.This study provides empirical support and policy insights for advancing the coordinated development of regional digital transformation and green low-carbon initiatives.
基金supported by the Project of the 2023 Shandong Province Higher Education Curriculum Ideological and Political Education Reform Research Project“Value Connotation,Intrinsic Logic,and Method Path:Student-centered College Curriculum Ideological and Political Integration‘Salt’in Course Teaching”(SZ2023003)Shandong Provincial Department of Education Key Teaching and Research Project“Ideological and Political Guidance,Goal Orientation,and Multidimensional Integration—Research and Practice of Embedded System Series Curriculum Teaching for New Engineering Majors”(Z2022232)+2 种基金2023 Harbin Institute of Technology(Weihai)Education and Teaching Reform Research Project“Connotation Elements,Related Logic,and Core Measures:Basic Paradigm of Curriculum Construction and Classroom Teaching Reform”(2023MSZZ01)the Key Teaching and Research Project of Shandong Provincial Department of Education,“I+IV”Mentor System—Exploration and Practice of Innovative Talents Training Model for Intelligent Vehicle Engineering New Engineering(Z2023002)the 2024 Harbin Institute of Technology(Weihai)Experimental Teaching and Teaching Laboratory Construction Research Project“Online and Offline Mixing,Virtual-practical Operation Integration,Industrial Technology Guidance—Research and Exploration of New Form Experimental Teaching of Computer Composition Principles”(2024SYZZ03)。
文摘The combination and application of information technology and higher education have led to changes in the form and mode of teaching management in higher education,promoting the continuous deepening of digital transformation in higher education.This paper discusses higher education management innovation triggered by digital technology and the new appearance of digital university governance,digital evaluation management,and internal governance of higher education.From the perspective of forging new forms,models,and paths of digital management through digital technology,this paper focuses on analyzing the reshaping of management systems by digitalization in higher education.The promotion and inspiration of digitalization on management system reform are provided,including typical features brought about,new paths opened up,and new advantages shaped.It is emphasized that the establishment of digital management system needs to rely on the systematic integration of multiple aspects.Finally,the challenges and solutions faced by the digital management system are deeply analyzed from the aspects of collaborative management and services,management process interoperability,evaluation and trust protection,and personnel digital literacy.Digital technology drives the transformation of higher education management system,resulting in new forms,models,paths,and methods of networked and digital management based on intelligent analysis and processing of educational and teaching data and promoting higher education management toward digital governance.The comprehensive establishment of a digital management system will unleash strong potential for universities to better fulfill their functions,and the high-quality development of higher education will be more solid and powerful.
文摘This paper makes an in-depth study of the status quo and trend of the development of the big health industry under the background of digitalization,aiming to explore ways to promote the transformation,upgrading and sustainable development of the big health industry through technological innovation and policy guidance,and provide valuable references for the government,enterprises and universities and other stakeholders to promote the high-quality development of the big health industry in the digital era.
基金supported by“The Palace Museum Talent Program”.The Palace Museum Talent Program is supported by The Hong Kong Jockey Club,exclusively sponsored by the Institute of Philanthropy.
文摘The standards system for cultural heritage digitalization aims to build a clear and logically rigorous framework to guide the development and revision of relevant standards.This system enhances the scientific,systematic,and practical aspects of cultural heritage digitalization.This paper comprehensively analyzes the current status and needs of cultural heritage digitalization and standardization.It further examines the methods used to construct the standards system.Through comparative analysis,it establishes a lifecycle-based framework for cultural heritage.This framework accounts for the unique characteristics of cultural heritage and systematically integrates key processes such as collection,processing,storage,transmission,and utilization of data.The standards system is divided into six sections:general,data,information,knowledge,intelligence,and application.Based on the current digitalization efforts,this paper proposes key standardization directions for each section.This framework ensures the integrity and consistency of data throughout the digitalization process.It also supports the application of intelligent technologies in cultural heritage conservation,contributing to the sustainable preservation and utilization of cultural heritage data.
基金General Project of Quality of Talent Cultivation and Teaching Reform in Higher Education of Sichuan Province(JG2024-612)。
文摘In the context of the deepening development of the digital economy,the traditional university-enterprise collaborative innovation and entrepreneurship education model in the field of higher education is facing structural contradictions such as inefficient resource integration,loose collaborative mechanisms,and the virtualization of practical teaching.This study reveals the enabling mechanism of digital technology on school-enterprise collaboration and proposes a four-dimensional implementation path of“curriculum system–practice platform–education reform–evaluation system.”Digital technology builds a two-way circulation mechanism of knowledge flow between schools and enterprises through the data middle platform,deepens collaborative education by relying on the virtual co-research platform,innovates the ability cultivation paradigm with technologies such as VR/AR,and constructs a dynamic evaluation system using all-dimensional data.Research shows that digital empowerment can break through the temporal and spatial barriers and information asymmetry of the traditional model,improve the efficiency of resource allocation between schools and enterprises,and increase the conversion rate of students’practical projects.In the future,it is necessary to further expand the application of technology in the top-level design of talent cultivation,improve the cross-departmental policy coordination and ethical review mechanism,and provide theoretical and practical paradigms for cultivating high-quality compound talents with data thinking,innovation ability,and industry adaptability in the digital economy era.
基金conducted as part of the project Innovative Tools for Cyber-Physical Energy Systems(InnoCyPES)received funding from the European Union’s Horizon 2020 research and innovation pro-gram under the Marie Skłodowska-Curie(956433).
文摘Assessing the benefits and costs of digitalization in the energy industry is a complex issue.Traditional cost-benefit analysis(CBA)might encounter problems in addressing uncertainties,dynamic stakeholder interactions,and feedback loops arising out of the evolving nature of digitalization.This paper introduces a methodological framework to help address the intricate inter connections between digital applications and business models in the energy industry.The proposed framework leverages system dynamics to achieve two primary objectives.It investigates how digitalization generally influences the value proposi-tion,value capture,and value creation dimensions of business models.It also quantifies the financial and social impacts of digitalization from a dynamic perspective.The proposed dynamic CBA allows for a more precise quantification of the benefits and costs,associated with evidence-based decision-making.Findings from an illustrative case study challenge the static assumptions of conventional methods.These methods often presume continuous operation,neglecting reinvestment and operational feedback loops,and resulting in negative net present values.Conversely,the outcomes of the proposed method indicate positive net present values when accounting for factors such as reinvestment rates and the will-ingness to invest in digitalization projects.The principles outlined in this paper can enable a more accu-rate assessment of digitalization projects,thus catalyzing the development of new CBA applications and guidelines for digitalization.
文摘In response to the current situation of practical teaching and the main problems in the teaching process of cultivating composite talents in the characteristic demonstration software college,this paper analyzes the importance of digital reform in practical teaching,introduces the work foundation,main work,reform characteristics,and effects of digital reform in practical teaching of composite talents in Software College of Northeastern University and lays the foundation for future in-depth research,providing reference for the digital reform of practical teaching in related majors of other colleges.
文摘This study aims to explore the relationship between the driving factors,implementation measures,and effects of financial management digital transformation in the banking industry in Jinan,Shandong Province,China.Faced with intense competition driven by advancements in financial technology,evolving customer demands,and policy support,digital transformation has become a critical strategy for enhancing operational efficiency and market competitiveness.Leveraging the researcher's extensive professional experience and employing scientific research methods and tools,the study conducted an online survey across multiple banking institutions in Jinan,collecting 305 valid responses from senior management,financial department heads,IT personnel,middle management,and financial and audit staff.The questionnaire was designed around key dimensions of financial management digital transformation,including driving factors,implementation measures,and effect evaluation,covering variables such as technology adoption,process optimization,employee training,data security,and organizational adjustments.Quantitative analysis methods,including reliability analysis,validity analysis,descriptive analysis,regression analysis,and chi-square independence tests,were used to ensure data quality and uncover inherent patterns.The findings reveal significant relationships between driving factors(e.g.,financial technology advancements,market demand,and policy support)and transformation effects(e.g.,operational efficiency,resource allocation,and customer experience),with notable differences in implementation outcomes across different types of banks.Based on these insights,the study provides strategic recommendations for optimizing digital transformation in Jinan's banking industry,aiming to enhance operational efficiency,improve financial service quality,and support sustainable industry development.
文摘In recent years,with the advent of the era of educational digitalization,the curriculum ideological and political teaching of gerontological nursing in higher vocational colleges has ushered in new development opportunities.Under the background of educational digitalization,in addition to teaching students’professional knowledge and skills of gerontological nursing,teachers should also focus on improving their ideological and moral literacy,guiding students to establish correct values in their hearts,promoting their all-round development in a true sense,and thus cultivating them into gerontological nursing talents with exquisite medical skills and noble medical ethics.This will better meet the social demand for professional gerontological nursing talents and inject inexhaustible motivation into the development of the elderly care industry.In this regard,this paper first elaborates on the value implication of the curriculum ideological and political teaching reform of higher vocational gerontological nursing under the background of educational digitalization,and then puts forward effective implementation strategies for teaching reform,aiming to provide certain reference for relevant researchers and better improve the effectiveness of curriculum ideological and political education in higher vocational gerontological nursing teaching.
