Background Addictive disorders have gained worldwide attention.The Chinese Association of Drug Abuse Prevention and Treatment,along with the consensus panel on digital therapeutics(DTx)for addictive disorders,has publ...Background Addictive disorders have gained worldwide attention.The Chinese Association of Drug Abuse Prevention and Treatment,along with the consensus panel on digital therapeutics(DTx)for addictive disorders,has published an expert consensus on DTx for addictive disorders.1 This consensus discusses and summarises the current research and application status of DTx for addictive disorders.It identifies its clinical value,application directions,research and development principles,and future prospects.As the consensus is published in Chinese,it may not be easily accessible to an international audience.To address this,we present here an overview of the expert consensus on DTx for addictive disorders in China.The recommendations from the consensus are summarised in table 1.展开更多
This paper proposes a deformation evolution and perceptual prediction methodology for additive manufacturing of lightweight composite driven by hybrid digital twins(HDT).In order to improve manufacturing quality of ir...This paper proposes a deformation evolution and perceptual prediction methodology for additive manufacturing of lightweight composite driven by hybrid digital twins(HDT).In order to improve manufacturing quality of irregular lightweight composite through boosting conceptual design in aeronautic and aerospace engineering,the HDT meaning hybridization of physical and digital domains,including deformation and energy efficiency can be built,where the essential parameters can be perceptually predicted in advance,by virtue of the fusion of physical sensors and digital information.The long short term memory(LSTM)can be employed to void vanishing gradient problem and improve predicting precision via Recurrent Neural Networks,thereby laying a foundation for the HDT.The diverse manufacturing requirements of different regions are integrated into the parameters designing phase by attaching region weights confirmed via empiricism and in-service simulation.The effects of slicing strategy and external support structures on manufacturing quality are considered from the perspective of improving dimensional accuracy.The manufacturing efficiency and comprehensive costs are accounted as consideration factors,which are perceptually predicted via LSTM.The designed manufacturing parameters through HDT were virtually examined by evaluating the deformation and equivalent stress distributions of fabricated lightweight component with composite material through AM process simulation.The physical experiments were conducted to verify the HDT-based pre-designing and optimization method of manufacturing parameters via fused deposition modeling(FDM).The energy consumption of actual manufacturing process was measured via digital power meter and applied to evaluate accuracy of perceptual prediction outcomes.The dimensional accuracy and distortion distribution of the manufactured lightweight prototype made with composite material were measured through the coordinate measuring machine(CMM)and 3D optical scanner.The proposed method demonstrates effectiveness in improving manufacturing quality and accurately predicting energy consumption,which have been verified with a three-way solenoid valve element,in which the maximum deformation was reduced by 39.78%and the mean absolute percentage error for perceptual prediction was 3.76%.展开更多
Integrating digital health technologies,including mobile applications and digital biomarkers,with traditional medicinal plants and phytochemicals may enhance the effectiveness of standard antidepressants.Mechanisms th...Integrating digital health technologies,including mobile applications and digital biomarkers,with traditional medicinal plants and phytochemicals may enhance the effectiveness of standard antidepressants.Mechanisms through which phytochemicals and digital health tools may alleviate depression are described based on currently known mechanisms.Traditional medicinal plants and phytochemicals may enhance the efficacy of standard antidepressants.This article provides an in-depth discussion of the known mechanisms through which phytochemicals and medicinal herbs may alleviate depression,and examines the diagnostic,preventive,and treatment practices for major depressive disorder(MDD),focusing on integrating digital innovations and phytotherapy.展开更多
With the rapid advancement of visual generative models such as Generative Adversarial Networks(GANs)and stable Diffusion,the creation of highly realistic Deepfake through automated forgery has significantly progressed...With the rapid advancement of visual generative models such as Generative Adversarial Networks(GANs)and stable Diffusion,the creation of highly realistic Deepfake through automated forgery has significantly progressed.This paper examines the advancements inDeepfake detection and defense technologies,emphasizing the shift from passive detection methods to proactive digital watermarking techniques.Passive detection methods,which involve extracting features from images or videos to identify forgeries,encounter challenges such as poor performance against unknown manipulation techniques and susceptibility to counter-forensic tactics.In contrast,proactive digital watermarking techniques embed specificmarkers into images or videos,facilitating real-time detection and traceability,thereby providing a preemptive defense againstDeepfake content.We offer a comprehensive analysis of digitalwatermarking-based forensic techniques,discussing their advantages over passivemethods and highlighting four key benefits:real-time detection,embedded defense,resistance to tampering,and provision of legal evidence.Additionally,the paper identifies gaps in the literature concerning proactive forensic techniques and suggests future research directions,including cross-domain watermarking and adaptive watermarking strategies.By systematically classifying and comparing existing techniques,this review aims to contribute valuable insights for the development of more effective proactive defense strategies in Deepfake forensics.展开更多
The integration of digital technologies into oral health care is transforming the field, driving advancements in diagnostic precision, patient engagement, and access to care. This review evaluates the impact of mobile...The integration of digital technologies into oral health care is transforming the field, driving advancements in diagnostic precision, patient engagement, and access to care. This review evaluates the impact of mobile health (mHealth) applications, tele-dentistry, artificial intelligence (AI), wearable devices, and advanced imaging systems on modern dentistry. Synthesizing findings from 125 studies published between 2010 and 2024, the paper identifies key achievements, including improved patient compliance, enhanced diagnostic capabilities, and expanded access to care in underserved areas. Tele-dentistry has been pivotal in bridging geographical gaps, particularly during the COVID-19 pandemic, while AI tools have revolutionized diagnostics and personalized treatment planning. Wearable devices and mHealth applications have empowered patients with real-time feedback, fostering sustained adherence to oral hygiene practices. The review also highlights the potential of digital tools to reduce healthcare disparities and operational costs, paving the way for more equitable and efficient dental care. By outlining critical advancements and future directions, this paper underscores the transformative potential of digital health technologies in dentistry. It advocates for further research on data security, interoperability, and innovative applications of AI to maximize the benefits of these tools, ultimately shaping a more accessible and patient-focused oral health ecosystem.展开更多
Background: Clinical decision support tools provide suggestions to support healthcare providers and clinicians, as they attend to patients. Clinicians use these tools to rapidly consult the evidence at the point of ca...Background: Clinical decision support tools provide suggestions to support healthcare providers and clinicians, as they attend to patients. Clinicians use these tools to rapidly consult the evidence at the point of care, a practice which has been found to reduce the time patients spend in hospitals, promote the quality of care and improve healthcare outcomes. Such tools include Medscape, VisualDx, Clinical Key, DynaMed, BMJ Best Practice and UpToDate. However, use of such tools has not yet been fully embraced in low-resource settings such as Uganda. Objective: This paper intends to collate data on the use and uptake of one such tool, UpToDate, which was provided at no cost to five medical schools in Uganda. Methods: Free access to UpToDate was granted through the IP addresses of five medical schools in Uganda in collaboration with Better Evidence at The Global Health Delivery Project at Harvard and Brigham and Women’s Hospital and Wolters Kluwer Health. Following the donation, medical librarians in the respective institutions conducted training sessions and created awareness of the tool. Usage data was aggregated, based on logins and content views, presented and analyzed using Excel tables and graphs. Results: The data shows similar trends in increased usage over the period of August 2022 to August 2023 across the five medical schools. The most common topics viewed, mode of access (using either the computer or the mobile app), total usage by institution, ratio of uses to eligible users by institution and ratio of uses to students by institution are shared. Conclusion: The study revealed that the tool was used by various user categories across the institutions with similar steady improved usage over the year. These results can inform the librarians as they encourage their respective institutions to continue using the tool to support uptake of point-of-care tools in clinical practice.展开更多
The original intention of the algorithmic recommender system is to grapple with the negative impacts caused by information overload,but the system also can be used as"hypernudge",a new form of online manipul...The original intention of the algorithmic recommender system is to grapple with the negative impacts caused by information overload,but the system also can be used as"hypernudge",a new form of online manipulation,to inten⁃tionally exploit people's cognitive and decision-making gaps to influence their decisions in practice,which is particu⁃larly detrimental to the sustainable development of the digital market.Limiting harmful algorithmic online manipula⁃tion in digital markets has become a challenging task.Globally,both the EU and China have responded to this issue,and the differences between them are so evident that their governance measures can serve as the typical case.The EU focuses on improving citizens'digital literacy and their ability to integrate into digital social life to independently ad⁃dress this issue,and expects to address harmful manipulation behavior through binding and applicable hard law,which is part of the digital strategy.By comparison,although there exist certain legal norms that have made relevant stipula⁃tions on manipulation issues,China continues to issue specific departmental regulations to regulate algorithmic recom⁃mender services,and pays more attention to addressing collective harm caused by algorithmic online manipulation through a multiple co-governance approach led by the government or industry associations to implement supervision.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
In the context of the digital transformation of vocational education,a quality evaluation index system has been constructed.Based on a questionnaire survey conducted among higher vocational colleges and enterprises in...In the context of the digital transformation of vocational education,a quality evaluation index system has been constructed.Based on a questionnaire survey conducted among higher vocational colleges and enterprises in Hainan Province,it has been found that the quality of vocational education generally depends on the talent training program and professional construction at the macro level.At the meso level,the teacher level and teaching environment are critical,while at the micro level,the evaluation of talent training quality cannot be underestimated.Strategies for quality improvement in vocational education are proposed from the perspectives of talent training programs,major construction,teacher development,teaching environment,and talent training quality,all under the lens of digital transformation.展开更多
In the present day,digital methods aid in the investigation and reflection of language and literary studies.It continues to develop through the use of digital tools,providing fresh perspectives on text analysis,langua...In the present day,digital methods aid in the investigation and reflection of language and literary studies.It continues to develop through the use of digital tools,providing fresh perspectives on text analysis,language comprehension,and cultural significance of literary works.The growing field of digital humanities has completely changed how academics study and comprehend language and literature.The goal of digital humanism is to investigate how technology and humanistic research might be combined in the field of language and literary studies.It demonstrates how technology improves our understanding of stories,genre classification,authorship characteristics,and language evolution.Furthermore,using these digital tools goes beyond simple analysis,embracing fresh approaches to interpretation and providing new perspectives on the production,distribution,and reception of literary works and linguistic materials.It provides opportunities for interdisciplinary study by fusing computational techniques with humanities studies to investigate language and literature in fresh and perceptive ways.In the literary field,the digital humanities offer cutting-edge techniques and resources that enhance study,instruction,and interpretation.In addition to advancing conventional approaches,the function of digital humanities is to promote innovative approaches to engage with and understand cultural artifacts in a technologically mediated world.展开更多
With the advancement of information technology,the digital transformation of higher education has become a global trend in educational reform.Egypt has propelled the modernization of its higher education system throug...With the advancement of information technology,the digital transformation of higher education has become a global trend in educational reform.Egypt has propelled the modernization of its higher education system through digital means,focusing on enhancing teachers’digital teaching capabilities,improving course quality,and establishing a policy environment that supports digital instruction.The driving forces behind Egypt’s transformation include meeting the demand for skilled talent due to economic reforms,participating in internationalization processes,and the impetus provided by public diplomacy.By introducing high-quality international resources,deepening scientific research collaboration,and applying digital technologies,Egypt has effectively alleviated issues of resource insufficiency and uneven development,thereby enhancing its capacity for higher education quality assurance.Egypt’s practice demonstrates that digitalization is a key pathway for developing countries to improve the quality of higher education,providing valuable insights for constructing sustainable models of higher education development.展开更多
With the continuous advancement of computer and information technology,education and teaching methods have undergone profound changes.Addressing the challenges in the Engine Structure Principle course-such as its high...With the continuous advancement of computer and information technology,education and teaching methods have undergone profound changes.Addressing the challenges in the Engine Structure Principle course-such as its highly practical nature,complex principles,and difficulty in student comprehension-a simulation program for the engine oil supply regulation system was developed using digital technology.This paper analyzes key factors affecting engine fuel supply,including tank pressure,engine inlet total temperature,and fuel viscosity.By encouraging inquiry-based learning,the approach enhances students’understanding of theoretical knowledge,improves teaching efficiency,and yields positive learning outcomes.Additionally,the CDIO(Conceiving-Designing-Implementing-Operating)teaching framework is integrated into the course,strengthening students’ability to apply knowledge comprehensively and collaborate effectively in teams.展开更多
Deep tight reservoirs exhibit complex stress and seepage fields due to varying pore structures,thus the seepage characteristics are significant for enhancing oil production.This study conducted triaxial compression an...Deep tight reservoirs exhibit complex stress and seepage fields due to varying pore structures,thus the seepage characteristics are significant for enhancing oil production.This study conducted triaxial compression and permeability tests to investigate the mechanical and seepage properties of tight sandstone.A digital core of tight sandstone was built using Computed Tomography(CT)scanning,which was divided into matrix and pore phases by a pore equivalent diameter threshold.A fluid-solid coupling model was established to investigate the seepage characteristics at micro-scale.The results showed that increasing the confining pressure decreased porosity,permeability,and flow velocity,with the pore phase becoming the dominant seepage channel.Cracks and large pores closed first under increasing pressure,resulted in a steep drop in permeability.However,permeability slightly decreased under high confining pressure,which followed a first-order exponential function.Flow velocity increased with seepage pressure.And the damage mainly occurred in stress-concentration regions under low seepage pressure.Seepage behavior followed linear Darcy flow,the damage emerged at seepage entrances under high pressure,which decreased rock elastic modulus and significantly increased permeability.展开更多
In the contemporary era,characterized by the Internet and digitalization as fundamental features,the operation and application of digital currency have gradually developed into a comprehensive structural system.This s...In the contemporary era,characterized by the Internet and digitalization as fundamental features,the operation and application of digital currency have gradually developed into a comprehensive structural system.This system restores the essential characteristics of currency while providing auxiliary services related to the formation,circulation,storage,application,and promotion of digital currency.Compared to traditional currency management technologies,big data analysis technology,which is primarily embedded in digital currency systems,enables the rapid acquisition of information.This facilitates the identification of standard associations within currency data and provides technical support for the operational framework of digital currency.展开更多
As stated in the Report to the 20th National Congress of the Communist Party of China(CPC),innovation remains at the heart of China’s modernization drive,and it is vital to optimize the allocation of innovation resou...As stated in the Report to the 20th National Congress of the Communist Party of China(CPC),innovation remains at the heart of China’s modernization drive,and it is vital to optimize the allocation of innovation resources,deepen structural scientific and technological reforms,and enhance the overall performance of China’s innovation system.Government incentives have boosted firm R&D and innovation efforts;however,they have also triggered an innovation dilemma where enterprises,capitalizing on their informational advantages,resort to innovation-washing behaviors that undermine the intended purpose of the policies.Based on the information asymmetry theory,this paper conducts an empirical study on how the digital economy affects firms’innovation-washing behavior.The development of the regional digital economy could suppress firm innovation-washing behavior in the region,and such a mitigation effect is primarily caused by an increase in the number of digital industry professionals.According to our heterogeneity analysis,the digital economy has a greater impact on firm innovation-washing behavior for certain types of enterprises,including non-state-owned enterprises(non-SOEs),small and medium-sized enterprises(SMEs),enterprises in less competitive industries,and enterprises in unfavorable business environments.Our mechanism analysis revealed that the digital economy may restrain innovation-washing behavior by reducing information asymmetry between enterprises and external stakeholders.In terms of economic outcomes,the digital economy has the potential to directly influence firm innovation output while also indirectly mitigating the subsequent decline in innovation output by discouraging innovation-washing.This paper enriches the research findings on how the digital economy breaks down“information silos”and offers a potential solution to the“emphasis on input and quantity over quality and efficiency”phenomenon in science and technology innovation practices.展开更多
In the era of the digital economy,digital trade has demonstrated strong vitality,becoming a crucial driving force for the highquality development of national and regional economies.However,understanding the resilience...In the era of the digital economy,digital trade has demonstrated strong vitality,becoming a crucial driving force for the highquality development of national and regional economies.However,understanding the resilience of digital trade in the face of external crises is an important topic.Taking the backdrop of Sino-US trade friction,this paper constructs a resilience index system for digital trade.It utilizes entropy method,kernel density estimation,and ArcGIS mapping to calculate and visually analyze the resilience of China’s digital trade from 2017 to 2021.Additionally,a Tobit model is constructed to explore the main influencing factors of digital trade resilience patterns.The research findings indicate:1)temporally,during the period of Sino-US trade friction,China’s digital trade resilience shows an overall upward trend,but there are regional differences in resilience levels across the country,with a severe polarization phenomenon.2)Spatially,high resilience is observed in the eastern and central regions of China,while the western and northeastern regions exhibit low resilience.3)From a dimensional perspective,the resistance of digital trade resilience displays a spatial distribution of high values in the east and low values in the west.The recovery force is aggregated along coastal areas,and the renewal force tends to aggregate along the eastern coastline.4)Factors such as economic scale,industrial structure,urbanization rate,government fiscal expenditure,and technological talents significantly promote the enhancement of digital trade resilience.This study reveals the dynamic characteristics and influencing factors of digital trade resilience in responding to external shocks,providing theoretical basis and policy suggestions for enhancing digital trade resilience,and promoting high-quality economic development in China.展开更多
With the advancement and maturation of digital technology,immersive experiences,virtual interactive systems,and real physical environments are combined to create an independent“digital twin”world.In the field of int...With the advancement and maturation of digital technology,immersive experiences,virtual interactive systems,and real physical environments are combined to create an independent“digital twin”world.In the field of intelligent manufacturing,there is a growing need to explore and develop a new platform for practical teaching based on digital twins,in line with the intelligent,networked,and digital transformation of education.By analyzing the design elements of this platform,building various digital twin prototypes and environments,and developing a teaching and training platform for intelligent manufacturing based on digital twins,significant improvements can be achieved in efficiency.Therefore,this paper discusses the development of an intelligent manufacturing teaching and training platform based on digital twins,aiming to enrich both the form and content of intelligent manufacturing training.展开更多
Forest planning involves estimating the biomass of species present in the area.Two fundamental parameters are diameter and height through which it is possible to indirectly estimate of biomass present.Digitalisation o...Forest planning involves estimating the biomass of species present in the area.Two fundamental parameters are diameter and height through which it is possible to indirectly estimate of biomass present.Digitalisation of forestry operations,such as forest planning,is crucial and should be affordable and easy-to-use digital applications and open-source devices.A digital progressive web application(PWA)was designed to record measurements.The app was connected via bluetoot to an open-source IoT digital forestry caliper prototyped by modifying a commercial tree caliper.An economic analysis was carried out considering all costs necessary for the development and operation of the app on smartphones and the preparation of electronic means for creation of the digital caliper.A comparison was made between costs of detecting tree diameters through application of the technology developed compared to costs calculated by applying the use of a dendrometric caliper(three technological levels were considered:L1,L2 and L3).The PWA allowed for easy data entry and viewing,maps and tree densities.The open-source digital caliper showed accuracy and precision comparable with similar commercial devices(1.5%±0.9%and 0.0%±0.9%,respectively).Total time per operator was lower using the digital caliper.From an economic perspective,application of the digital technology was more sustainable than the traditional system.Use of the digital caliper in combination with the web application optimizes detection time of a single tree,and therefore decreases overall cost.展开更多
Anhui Province is a major agricultural province in eastern China,and the development of rural economy plays an important role in improving the overall economic level of the province.In recent years,the extensive use o...Anhui Province is a major agricultural province in eastern China,and the development of rural economy plays an important role in improving the overall economic level of the province.In recent years,the extensive use of digital technologies and ongoing financial innovations have contributed to the rapid growth of digital inclusive finance in rural areas of Anhui,significantly reducing the lack of financial services in these regions.The main objective of this paper is to explore in depth how digital inclusive finance impacts the rural economy of Anhui Province and to provide practical policy recommendations based on these findings.展开更多
基金supported by the National Key Research and Development Program of China(grant 2023YFC3304200).
文摘Background Addictive disorders have gained worldwide attention.The Chinese Association of Drug Abuse Prevention and Treatment,along with the consensus panel on digital therapeutics(DTx)for addictive disorders,has published an expert consensus on DTx for addictive disorders.1 This consensus discusses and summarises the current research and application status of DTx for addictive disorders.It identifies its clinical value,application directions,research and development principles,and future prospects.As the consensus is published in Chinese,it may not be easily accessible to an international audience.To address this,we present here an overview of the expert consensus on DTx for addictive disorders in China.The recommendations from the consensus are summarised in table 1.
基金Supported by National Key Research and Development Project of China(Grant No.2022YFB3303303)Zhejiang Provincial Research and Development Project of China(Grant No.LGG22E050010)Key Open Fund of State Key Laboratory of Materials Processing and Die and Mould Technology of China(Grant No.P2024-001).
文摘This paper proposes a deformation evolution and perceptual prediction methodology for additive manufacturing of lightweight composite driven by hybrid digital twins(HDT).In order to improve manufacturing quality of irregular lightweight composite through boosting conceptual design in aeronautic and aerospace engineering,the HDT meaning hybridization of physical and digital domains,including deformation and energy efficiency can be built,where the essential parameters can be perceptually predicted in advance,by virtue of the fusion of physical sensors and digital information.The long short term memory(LSTM)can be employed to void vanishing gradient problem and improve predicting precision via Recurrent Neural Networks,thereby laying a foundation for the HDT.The diverse manufacturing requirements of different regions are integrated into the parameters designing phase by attaching region weights confirmed via empiricism and in-service simulation.The effects of slicing strategy and external support structures on manufacturing quality are considered from the perspective of improving dimensional accuracy.The manufacturing efficiency and comprehensive costs are accounted as consideration factors,which are perceptually predicted via LSTM.The designed manufacturing parameters through HDT were virtually examined by evaluating the deformation and equivalent stress distributions of fabricated lightweight component with composite material through AM process simulation.The physical experiments were conducted to verify the HDT-based pre-designing and optimization method of manufacturing parameters via fused deposition modeling(FDM).The energy consumption of actual manufacturing process was measured via digital power meter and applied to evaluate accuracy of perceptual prediction outcomes.The dimensional accuracy and distortion distribution of the manufactured lightweight prototype made with composite material were measured through the coordinate measuring machine(CMM)and 3D optical scanner.The proposed method demonstrates effectiveness in improving manufacturing quality and accurately predicting energy consumption,which have been verified with a three-way solenoid valve element,in which the maximum deformation was reduced by 39.78%and the mean absolute percentage error for perceptual prediction was 3.76%.
文摘Integrating digital health technologies,including mobile applications and digital biomarkers,with traditional medicinal plants and phytochemicals may enhance the effectiveness of standard antidepressants.Mechanisms through which phytochemicals and digital health tools may alleviate depression are described based on currently known mechanisms.Traditional medicinal plants and phytochemicals may enhance the efficacy of standard antidepressants.This article provides an in-depth discussion of the known mechanisms through which phytochemicals and medicinal herbs may alleviate depression,and examines the diagnostic,preventive,and treatment practices for major depressive disorder(MDD),focusing on integrating digital innovations and phytotherapy.
基金supported by the National Fund Cultivation Project from China People’s Police University(Grant Number:JJPY202402)National Natural Science Foundation of China(Grant Number:62172165).
文摘With the rapid advancement of visual generative models such as Generative Adversarial Networks(GANs)and stable Diffusion,the creation of highly realistic Deepfake through automated forgery has significantly progressed.This paper examines the advancements inDeepfake detection and defense technologies,emphasizing the shift from passive detection methods to proactive digital watermarking techniques.Passive detection methods,which involve extracting features from images or videos to identify forgeries,encounter challenges such as poor performance against unknown manipulation techniques and susceptibility to counter-forensic tactics.In contrast,proactive digital watermarking techniques embed specificmarkers into images or videos,facilitating real-time detection and traceability,thereby providing a preemptive defense againstDeepfake content.We offer a comprehensive analysis of digitalwatermarking-based forensic techniques,discussing their advantages over passivemethods and highlighting four key benefits:real-time detection,embedded defense,resistance to tampering,and provision of legal evidence.Additionally,the paper identifies gaps in the literature concerning proactive forensic techniques and suggests future research directions,including cross-domain watermarking and adaptive watermarking strategies.By systematically classifying and comparing existing techniques,this review aims to contribute valuable insights for the development of more effective proactive defense strategies in Deepfake forensics.
文摘The integration of digital technologies into oral health care is transforming the field, driving advancements in diagnostic precision, patient engagement, and access to care. This review evaluates the impact of mobile health (mHealth) applications, tele-dentistry, artificial intelligence (AI), wearable devices, and advanced imaging systems on modern dentistry. Synthesizing findings from 125 studies published between 2010 and 2024, the paper identifies key achievements, including improved patient compliance, enhanced diagnostic capabilities, and expanded access to care in underserved areas. Tele-dentistry has been pivotal in bridging geographical gaps, particularly during the COVID-19 pandemic, while AI tools have revolutionized diagnostics and personalized treatment planning. Wearable devices and mHealth applications have empowered patients with real-time feedback, fostering sustained adherence to oral hygiene practices. The review also highlights the potential of digital tools to reduce healthcare disparities and operational costs, paving the way for more equitable and efficient dental care. By outlining critical advancements and future directions, this paper underscores the transformative potential of digital health technologies in dentistry. It advocates for further research on data security, interoperability, and innovative applications of AI to maximize the benefits of these tools, ultimately shaping a more accessible and patient-focused oral health ecosystem.
文摘Background: Clinical decision support tools provide suggestions to support healthcare providers and clinicians, as they attend to patients. Clinicians use these tools to rapidly consult the evidence at the point of care, a practice which has been found to reduce the time patients spend in hospitals, promote the quality of care and improve healthcare outcomes. Such tools include Medscape, VisualDx, Clinical Key, DynaMed, BMJ Best Practice and UpToDate. However, use of such tools has not yet been fully embraced in low-resource settings such as Uganda. Objective: This paper intends to collate data on the use and uptake of one such tool, UpToDate, which was provided at no cost to five medical schools in Uganda. Methods: Free access to UpToDate was granted through the IP addresses of five medical schools in Uganda in collaboration with Better Evidence at The Global Health Delivery Project at Harvard and Brigham and Women’s Hospital and Wolters Kluwer Health. Following the donation, medical librarians in the respective institutions conducted training sessions and created awareness of the tool. Usage data was aggregated, based on logins and content views, presented and analyzed using Excel tables and graphs. Results: The data shows similar trends in increased usage over the period of August 2022 to August 2023 across the five medical schools. The most common topics viewed, mode of access (using either the computer or the mobile app), total usage by institution, ratio of uses to eligible users by institution and ratio of uses to students by institution are shared. Conclusion: The study revealed that the tool was used by various user categories across the institutions with similar steady improved usage over the year. These results can inform the librarians as they encourage their respective institutions to continue using the tool to support uptake of point-of-care tools in clinical practice.
文摘The original intention of the algorithmic recommender system is to grapple with the negative impacts caused by information overload,but the system also can be used as"hypernudge",a new form of online manipulation,to inten⁃tionally exploit people's cognitive and decision-making gaps to influence their decisions in practice,which is particu⁃larly detrimental to the sustainable development of the digital market.Limiting harmful algorithmic online manipula⁃tion in digital markets has become a challenging task.Globally,both the EU and China have responded to this issue,and the differences between them are so evident that their governance measures can serve as the typical case.The EU focuses on improving citizens'digital literacy and their ability to integrate into digital social life to independently ad⁃dress this issue,and expects to address harmful manipulation behavior through binding and applicable hard law,which is part of the digital strategy.By comparison,although there exist certain legal norms that have made relevant stipula⁃tions on manipulation issues,China continues to issue specific departmental regulations to regulate algorithmic recom⁃mender services,and pays more attention to addressing collective harm caused by algorithmic online manipulation through a multiple co-governance approach led by the government or industry associations to implement supervision.
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.
文摘In the context of the digital transformation of vocational education,a quality evaluation index system has been constructed.Based on a questionnaire survey conducted among higher vocational colleges and enterprises in Hainan Province,it has been found that the quality of vocational education generally depends on the talent training program and professional construction at the macro level.At the meso level,the teacher level and teaching environment are critical,while at the micro level,the evaluation of talent training quality cannot be underestimated.Strategies for quality improvement in vocational education are proposed from the perspectives of talent training programs,major construction,teacher development,teaching environment,and talent training quality,all under the lens of digital transformation.
文摘In the present day,digital methods aid in the investigation and reflection of language and literary studies.It continues to develop through the use of digital tools,providing fresh perspectives on text analysis,language comprehension,and cultural significance of literary works.The growing field of digital humanities has completely changed how academics study and comprehend language and literature.The goal of digital humanism is to investigate how technology and humanistic research might be combined in the field of language and literary studies.It demonstrates how technology improves our understanding of stories,genre classification,authorship characteristics,and language evolution.Furthermore,using these digital tools goes beyond simple analysis,embracing fresh approaches to interpretation and providing new perspectives on the production,distribution,and reception of literary works and linguistic materials.It provides opportunities for interdisciplinary study by fusing computational techniques with humanities studies to investigate language and literature in fresh and perceptive ways.In the literary field,the digital humanities offer cutting-edge techniques and resources that enhance study,instruction,and interpretation.In addition to advancing conventional approaches,the function of digital humanities is to promote innovative approaches to engage with and understand cultural artifacts in a technologically mediated world.
基金The 2024 Northwest University Graduate Innovation Project“Research on the Public Diplomacy Policy of the United States towards North Africa in the Post 9/11 Era and Its Image Shaping of the United States”(2000 present)(CX2024078)。
文摘With the advancement of information technology,the digital transformation of higher education has become a global trend in educational reform.Egypt has propelled the modernization of its higher education system through digital means,focusing on enhancing teachers’digital teaching capabilities,improving course quality,and establishing a policy environment that supports digital instruction.The driving forces behind Egypt’s transformation include meeting the demand for skilled talent due to economic reforms,participating in internationalization processes,and the impetus provided by public diplomacy.By introducing high-quality international resources,deepening scientific research collaboration,and applying digital technologies,Egypt has effectively alleviated issues of resource insufficiency and uneven development,thereby enhancing its capacity for higher education quality assurance.Egypt’s practice demonstrates that digitalization is a key pathway for developing countries to improve the quality of higher education,providing valuable insights for constructing sustainable models of higher education development.
文摘With the continuous advancement of computer and information technology,education and teaching methods have undergone profound changes.Addressing the challenges in the Engine Structure Principle course-such as its highly practical nature,complex principles,and difficulty in student comprehension-a simulation program for the engine oil supply regulation system was developed using digital technology.This paper analyzes key factors affecting engine fuel supply,including tank pressure,engine inlet total temperature,and fuel viscosity.By encouraging inquiry-based learning,the approach enhances students’understanding of theoretical knowledge,improves teaching efficiency,and yields positive learning outcomes.Additionally,the CDIO(Conceiving-Designing-Implementing-Operating)teaching framework is integrated into the course,strengthening students’ability to apply knowledge comprehensively and collaborate effectively in teams.
基金financially supported by the National Natural Science Foundation of China(Nos.42272153 and 42472195)the Research Fund of PetroChina Tarim Oilfield Company(No.671023060003)the Research Fund of China National Petroleum Corporation Limited(No.2023ZZ16YJ04).
文摘Deep tight reservoirs exhibit complex stress and seepage fields due to varying pore structures,thus the seepage characteristics are significant for enhancing oil production.This study conducted triaxial compression and permeability tests to investigate the mechanical and seepage properties of tight sandstone.A digital core of tight sandstone was built using Computed Tomography(CT)scanning,which was divided into matrix and pore phases by a pore equivalent diameter threshold.A fluid-solid coupling model was established to investigate the seepage characteristics at micro-scale.The results showed that increasing the confining pressure decreased porosity,permeability,and flow velocity,with the pore phase becoming the dominant seepage channel.Cracks and large pores closed first under increasing pressure,resulted in a steep drop in permeability.However,permeability slightly decreased under high confining pressure,which followed a first-order exponential function.Flow velocity increased with seepage pressure.And the damage mainly occurred in stress-concentration regions under low seepage pressure.Seepage behavior followed linear Darcy flow,the damage emerged at seepage entrances under high pressure,which decreased rock elastic modulus and significantly increased permeability.
文摘In the contemporary era,characterized by the Internet and digitalization as fundamental features,the operation and application of digital currency have gradually developed into a comprehensive structural system.This system restores the essential characteristics of currency while providing auxiliary services related to the formation,circulation,storage,application,and promotion of digital currency.Compared to traditional currency management technologies,big data analysis technology,which is primarily embedded in digital currency systems,enables the rapid acquisition of information.This facilitates the identification of standard associations within currency data and provides technical support for the operational framework of digital currency.
基金supported by the National Social Science Fund of China(NSSFC)project“Research on the Market Mechanism and Policy Pathway for Technological Breakthrough under the New Whole-Nation System”(Grant No.21&ZD122).
文摘As stated in the Report to the 20th National Congress of the Communist Party of China(CPC),innovation remains at the heart of China’s modernization drive,and it is vital to optimize the allocation of innovation resources,deepen structural scientific and technological reforms,and enhance the overall performance of China’s innovation system.Government incentives have boosted firm R&D and innovation efforts;however,they have also triggered an innovation dilemma where enterprises,capitalizing on their informational advantages,resort to innovation-washing behaviors that undermine the intended purpose of the policies.Based on the information asymmetry theory,this paper conducts an empirical study on how the digital economy affects firms’innovation-washing behavior.The development of the regional digital economy could suppress firm innovation-washing behavior in the region,and such a mitigation effect is primarily caused by an increase in the number of digital industry professionals.According to our heterogeneity analysis,the digital economy has a greater impact on firm innovation-washing behavior for certain types of enterprises,including non-state-owned enterprises(non-SOEs),small and medium-sized enterprises(SMEs),enterprises in less competitive industries,and enterprises in unfavorable business environments.Our mechanism analysis revealed that the digital economy may restrain innovation-washing behavior by reducing information asymmetry between enterprises and external stakeholders.In terms of economic outcomes,the digital economy has the potential to directly influence firm innovation output while also indirectly mitigating the subsequent decline in innovation output by discouraging innovation-washing.This paper enriches the research findings on how the digital economy breaks down“information silos”and offers a potential solution to the“emphasis on input and quantity over quality and efficiency”phenomenon in science and technology innovation practices.
基金Under the auspices of National Natural Science Foundation of China(No.42471205)the General Scientific Research Project of Zhejiang Provincial Department of Education(No.2024JYTYB12)the Philosophy and Social Science Planning Project of Zhejiang Province(No.23NDJC109YB)。
文摘In the era of the digital economy,digital trade has demonstrated strong vitality,becoming a crucial driving force for the highquality development of national and regional economies.However,understanding the resilience of digital trade in the face of external crises is an important topic.Taking the backdrop of Sino-US trade friction,this paper constructs a resilience index system for digital trade.It utilizes entropy method,kernel density estimation,and ArcGIS mapping to calculate and visually analyze the resilience of China’s digital trade from 2017 to 2021.Additionally,a Tobit model is constructed to explore the main influencing factors of digital trade resilience patterns.The research findings indicate:1)temporally,during the period of Sino-US trade friction,China’s digital trade resilience shows an overall upward trend,but there are regional differences in resilience levels across the country,with a severe polarization phenomenon.2)Spatially,high resilience is observed in the eastern and central regions of China,while the western and northeastern regions exhibit low resilience.3)From a dimensional perspective,the resistance of digital trade resilience displays a spatial distribution of high values in the east and low values in the west.The recovery force is aggregated along coastal areas,and the renewal force tends to aggregate along the eastern coastline.4)Factors such as economic scale,industrial structure,urbanization rate,government fiscal expenditure,and technological talents significantly promote the enhancement of digital trade resilience.This study reveals the dynamic characteristics and influencing factors of digital trade resilience in responding to external shocks,providing theoretical basis and policy suggestions for enhancing digital trade resilience,and promoting high-quality economic development in China.
文摘With the advancement and maturation of digital technology,immersive experiences,virtual interactive systems,and real physical environments are combined to create an independent“digital twin”world.In the field of intelligent manufacturing,there is a growing need to explore and develop a new platform for practical teaching based on digital twins,in line with the intelligent,networked,and digital transformation of education.By analyzing the design elements of this platform,building various digital twin prototypes and environments,and developing a teaching and training platform for intelligent manufacturing based on digital twins,significant improvements can be achieved in efficiency.Therefore,this paper discusses the development of an intelligent manufacturing teaching and training platform based on digital twins,aiming to enrich both the form and content of intelligent manufacturing training.
基金supported by the Italian Ministry of Agriculture,Ministry of Agriculture,Food Sovereignty and Forestry(MASAF),National program sub project Precision Forestry(AgriDigit program)(DM 36509.7305.2018 of 20/12/2018).
文摘Forest planning involves estimating the biomass of species present in the area.Two fundamental parameters are diameter and height through which it is possible to indirectly estimate of biomass present.Digitalisation of forestry operations,such as forest planning,is crucial and should be affordable and easy-to-use digital applications and open-source devices.A digital progressive web application(PWA)was designed to record measurements.The app was connected via bluetoot to an open-source IoT digital forestry caliper prototyped by modifying a commercial tree caliper.An economic analysis was carried out considering all costs necessary for the development and operation of the app on smartphones and the preparation of electronic means for creation of the digital caliper.A comparison was made between costs of detecting tree diameters through application of the technology developed compared to costs calculated by applying the use of a dendrometric caliper(three technological levels were considered:L1,L2 and L3).The PWA allowed for easy data entry and viewing,maps and tree densities.The open-source digital caliper showed accuracy and precision comparable with similar commercial devices(1.5%±0.9%and 0.0%±0.9%,respectively).Total time per operator was lower using the digital caliper.From an economic perspective,application of the digital technology was more sustainable than the traditional system.Use of the digital caliper in combination with the web application optimizes detection time of a single tree,and therefore decreases overall cost.
文摘Anhui Province is a major agricultural province in eastern China,and the development of rural economy plays an important role in improving the overall economic level of the province.In recent years,the extensive use of digital technologies and ongoing financial innovations have contributed to the rapid growth of digital inclusive finance in rural areas of Anhui,significantly reducing the lack of financial services in these regions.The main objective of this paper is to explore in depth how digital inclusive finance impacts the rural economy of Anhui Province and to provide practical policy recommendations based on these findings.
