Orders for more than 200 computers were received in just two months after a purchasing agreement was signed in the first half of last year between the American-owned Digital Company and the Power Science Academy of th...Orders for more than 200 computers were received in just two months after a purchasing agreement was signed in the first half of last year between the American-owned Digital Company and the Power Science Academy of the Ministry of Power Industry. The Alpha AXP system computers, recently展开更多
Cyber-Physical Systems(CPS)represent an integration of computational and physical elements,revolutionizing industries by enabling real-time monitoring,control,and optimization.A complementary technology,Digital Twin(D...Cyber-Physical Systems(CPS)represent an integration of computational and physical elements,revolutionizing industries by enabling real-time monitoring,control,and optimization.A complementary technology,Digital Twin(DT),acts as a virtual replica of physical assets or processes,facilitating better decision making through simulations and predictive analytics.CPS and DT underpin the evolution of Industry 4.0 by bridging the physical and digital domains.This survey explores their synergy,highlighting how DT enriches CPS with dynamic modeling,realtime data integration,and advanced simulation capabilities.The layered architecture of DTs within CPS is examined,showcasing the enabling technologies and tools vital for seamless integration.The study addresses key challenges in CPS modeling,such as concurrency and communication,and underscores the importance of DT in overcoming these obstacles.Applications in various sectors are analyzed,including smart manufacturing,healthcare,and urban planning,emphasizing the transformative potential of CPS-DT integration.In addition,the review identifies gaps in existing methodologies and proposes future research directions to develop comprehensive,scalable,and secure CPSDT systems.By synthesizing insights fromthe current literature and presenting a taxonomy of CPS and DT,this survey serves as a foundational reference for academics and practitioners.The findings stress the need for unified frameworks that align CPS and DT with emerging technologies,fostering innovation and efficiency in the digital transformation era.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
Objective To evaluate and reduce inter-observer variations in the detection and characterization of pulmonary nodules on digital radiograph （DR） chest images. Methods Two hundreds and thirty-two new posterior-anteri...Objective To evaluate and reduce inter-observer variations in the detection and characterization of pulmonary nodules on digital radiograph （DR） chest images. Methods Two hundreds and thirty-two new posterior-anterior DR chest images were collected from out-patient screening patients. Consensus was reached by two experienced radiologists on the marking, rating, and segmentation of small actionable nodules ranged from 5 to 15 mm in diameter using a computer-aided diagnosis （CAD） system. Both their own nodule findings and the computer＇s automatic nodule detection results were analyzed to make the consensus. Nodules identified together with corresponding likelihood rating and segmentation results were referred as ＂Gold Stand- ard＂. Two un-experienced radiologists were asked to first mark and characterize suspicious nodules independently, then were allowed to consult the computer nodule detection results and change their decisions. Results Large inter-observer variations in pulmonary nodule identification and characterization on DR chest images were observed between un-experienced radiologists. Un-expefienced radiologists could greatly benefit from the CAD system, including substantial decrease of inter-observer variation and improvement of nodule detection rates. Moreover, radiologists with different levels of skillfulness could achieve similar high level performance after using the CAD system. Conclusion The CAD system shows a high potential for providing a valuable assistance to the examination of DR chest images.展开更多
Objective To assess inter-observer variations of pulmonary nodule marking in routine clinical chest digital radiograph (DR) softcopy reading by using a lung nodule computer toolkit.Methods A total of 601 chest posteri...Objective To assess inter-observer variations of pulmonary nodule marking in routine clinical chest digital radiograph (DR) softcopy reading by using a lung nodule computer toolkit.Methods A total of 601 chest posterior-anterior DR images were randomly selected from routine outpatient screening in Peking Union Medical College Hospital. Two chest radiologists with experience more than ten years were first asked to read the images and mark all suspicious nodules independently by using computer toolkit IQQA-Chest, and to indicate the likelihood for each nodule detected. They were also asked to draw the boundary of the identified nodule manually on an enlarged region of interest, which was instantly analyzed by IQQA-Chest. Two sets of diagnostic reports, including the marked nodules, likelihood, manually drawn boundaries, quantitative measurements, and radiologists’ names, were automatically generated and stored by the computer system. One week later, the two radiologists read the same images together by using the same computer toolkit without referring to their previous reading results. Marking procedure was the same except that consensus was reached for each suspicious region. Statistical analysis tools provided in the IQQA-Chest were used to compare all the three sets of reading results.Results In the independent readings, Reader 1 detected 409 nodules with a mean diameter of 12.4 mm in 241 patients, and Reader 2 detected 401 nodules with a mean diameter of 12.6 mm in 253 patients. In the consensus reading, a total of 352 nodules with a mean diameter of 12.4 mm were detected in 220 patients. Totally, 42.3% of Reader 1’s and 45.1% of Reader 2’s marks were confirmed by the consensus reading. About 40% of each reader’s marks agreed with the other. There were only 130 (14.4%) out of the total 904 unique nodules were confirmed by both readers and the consensus reading. Moreover, 5.6% (51/904) of the marked regions were rated identical likelihood in all three readings. Statistical analysis showed significant differences between Readers 1 and 2, and between consensus and Reader 2 in determining the likelihood of the marks (P<0.01), but not between consensus and Reader 1. No significant difference in terms of size was observed in nodule segmentation between either two of the three readings. Conclusion Large variations in nodule marking and nodule-likelihood determination but not in nodule size were observed between experts as well as between single-person reading and consensus reading.展开更多
<strong>Background:</strong> Worldwide, prostatic adenocarcinoma is the most common tumour type among men. <strong>Aim:</strong> The aim of the present investigation was to develop a computer p...<strong>Background:</strong> Worldwide, prostatic adenocarcinoma is the most common tumour type among men. <strong>Aim:</strong> The aim of the present investigation was to develop a computer program to identify normal prostate biopsies and distinguish them from biopsies showing premalignant alterations (LGPIN, HGPIN) and adenocarcinoma. <strong>Method:</strong> Prostate biopsies (n = 2094) taken from 191 consecutive men during 2016 were stained with triple immunehistochemisty (antibodies to AMACRA, p63 and CK 5). Digital images of the biopsies were obtained with a scanning microscope and used to develop an automatic computer program (CelldaTM), intended to identify the morphological alterations. Visual microscopic finding was used as a reference. <strong>Result:</strong> Of the 191 men, 121 (63.4%) were diagnosed as having prostate adenocarcinoma and 70 (36.6%) as having no malignancy on the basis of the visual microscopy. In comparison, computer analysis identified 134 (70.2%) men with malignant disease and 57 (29.8%) with non-malignant disease after exclusion of artifacts, which constituted 10.4% of areas (indicated as malignant disease). Discrepant results were recorded in 15 (7.9%) men, and in 14 of these cases, HGPIN and areas suggestive of early invasion were common. Thus, it was uncertain whether these cases should be regarded as malignant or not. The agreement between the visual examination and the computer analysis was 92.1% (kappa value 0.823, sensitivity 99.2 and specificity was 0.80). <strong>Conclusion:</strong> It seems that computer analysis could serve as an adjunct to simplify and shorten the diagnostic procedure, first of all by ensuring that normal prostate biopsies are sorted out from those sent for visual microscopic evaluation.展开更多
With the continuous advancement and maturation of technologies such as big data,artificial intelligence,virtual reality,robotics,human-machine collaboration,and augmented reality,many enterprises are finding new avenu...With the continuous advancement and maturation of technologies such as big data,artificial intelligence,virtual reality,robotics,human-machine collaboration,and augmented reality,many enterprises are finding new avenues for digital transformation and intelligent upgrading.Industry 5.0,a further extension and development of Industry 4.0,has become an important development trend in industry with more emphasis on human-centered sustainability and flexibility.Accordingly,both the industrial metaverse and digital twins have attracted much attention in this new era.However,the relationship between them is not clear enough.In this paper,a comparison between digital twins and the metaverse in industry is made firstly.Then,we propose the concept and framework of Digital Twin Systems Engineering(DTSE)to demonstrate how digital twins support the industrial metaverse in the era of Industry 5.0 by integrating systems engineering principles.Furthermore,we discuss the key technologies and challenges of DTSE,in particular how artificial intelligence enhances the application of DTSE.Finally,a specific application scenario in the aviation field is presented to illustrate the application prospects of DTSE.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 this paper, we conduct research on modem music composition development direction under the digital and computer background. We can hear the music work, at ordinary times is the musician and sound engineer through t...In this paper, we conduct research on modem music composition development direction under the digital and computer background. We can hear the music work, at ordinary times is the musician and sound engineer through three different stages of product created by mutual cooperation. The development of computer music has impact to the music every aspect of life, including various music creation process, cause the changes of some design principles. This change may be denied the traditional, also may be denied the traditional that is on the development of traditional principles. We integrate the concepts and principles of the digital perspective to propose our methodology on issues of computer music develooment that holds vital siznificance and meaning.展开更多
The report examines the evolution of computers from digital analogs through non-yon Neumann machines to quantum computers, which are also digital analogs. In the 60 years of digital analogs successfully developed at t...The report examines the evolution of computers from digital analogs through non-yon Neumann machines to quantum computers, which are also digital analogs. In the 60 years of digital analogs successfully developed at the Institute of Electromechanics of the USSR in Leningrad. An important stage in the development of non-classical multiprocessor machine performance and reliability has been the development of recursive machines, which was carried out at the Institute of Cybernetics led V.M.Glushkov and the Leningrad Institute of Aviation Instrumentation. The general approach to the synthesis is carried out through linguo- combinatorial modeling with structured uncertainty.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
Deep-time Earth research plays a pivotal role in deciphering the rates,patterns,and mechanisms of Earth's evolutionary processes throughout geological history,providing essential scientific foundations for climate...Deep-time Earth research plays a pivotal role in deciphering the rates,patterns,and mechanisms of Earth's evolutionary processes throughout geological history,providing essential scientific foundations for climate prediction,natural resource exploration,and sustainable planetary stewardship.To advance Deep-time Earth research in the era of big data and artificial intelligence,the International Union of Geological Sciences initiated the“Deeptime Digital Earth International Big Science Program”(DDE)in 2019.At the core of this ambitious program lies the development of geoscience knowledge graphs,serving as a transformative knowledge infrastructure that enables the integration,sharing,mining,and analysis of heterogeneous geoscience big data.The DDE knowledge graph initiative has made significant strides in three critical dimensions:(1)establishing a unified knowledge structure across geoscience disciplines that ensures consistent representation of geological entities and their interrelationships through standardized ontologies and semantic frameworks;(2)developing a robust and scalable software infrastructure capable of supporting both expert-driven and machine-assisted knowledge engineering for large-scale graph construction and management;(3)implementing a comprehensive three-tiered architecture encompassing basic,discipline-specific,and application-oriented knowledge graphs,spanning approximately 20 geoscience disciplines.Through its open knowledge framework and international collaborative network,this initiative has fostered multinational research collaborations,establishing a robust foundation for next-generation geoscience research while propelling the discipline toward FAIR(Findable,Accessible,Interoperable,Reusable)data practices in deep-time Earth systems research.展开更多
Digital technology and the digital economy are at the forefront of the global technological revolution and industrial transformation.They are profoundly reshaping the international landscape of competition and restruc...Digital technology and the digital economy are at the forefront of the global technological revolution and industrial transformation.They are profoundly reshaping the international landscape of competition and restructuring the world economy.Major countries and economies around the globe are increasingly competing on digital technology and the digital economy,striving to secure a strategic advantage in the new round of international competition and establish a strong position in the evolving international order.展开更多
In the dynamic landscape of modern healthcare and precision medicine,the digital revolution is reshaping medical industries at an unprecedented pace,and traditional Chinese medicine(TCM)is no exception[1-4].The paper...In the dynamic landscape of modern healthcare and precision medicine,the digital revolution is reshaping medical industries at an unprecedented pace,and traditional Chinese medicine(TCM)is no exception[1-4].The paper“From digits towards digitization:the past,present,and future of traditional Chinese medicine”by Academician&TCM National Master Qi WANG(王琦).展开更多
Objectives:Childhood and adolescent obesity are an increasing global health concern.This study aimed to evaluate the effectiveness of digital components and interaction types in counseling interventions for prevention...Objectives:Childhood and adolescent obesity are an increasing global health concern.This study aimed to evaluate the effectiveness of digital components and interaction types in counseling interventions for prevention and treatment.Methods:All studies were searched in online databases and grey literature,including PubMed(Medline),Web of Science,CINAHL,Scopus,IEEE Xplore Digital Library,Journal of Medical Internet Research(JMIR),MedNar,EBSco Open Dissertations.The search period is from inception to June 2023,and the languages are Finnish,English and Swedish.The research quality was evaluated using the web-based data management system Covidence for prevalence studies.The study protocol was registered with PROSPERO(registration number:CRD42021247595).Results:In this review,4,407 studies were screened,and 22 were included.These involved 3,433 participants and 264 child-parent pairs.The digital approaches included multicomponent elements like internet platforms,text messaging,video conferencing,online communities,wearable technology,and mobile apps,allowing one-way,two-way,and face-to-face interactions.Two studies showed statistically significant effects of treatment on BMI and waist-to-hip ratio.Most interventions reported positive outcomes,with no significant differences between groups,and none showed null effects during followup.Conclusions:Digital multicomponents like mobile apps and wearables can help obese children and adolescents adopt healthier lifestyles.While these interventions show promise for obesity management,further research is needed to assess their effectiveness,particularly regarding nurses'perspectives.展开更多
This study addressed the critical need for an integrated,personalized approach to perimenopausal mental health,addressing both biological and psychosocial fac-tors.Current research highlighted the influence of hormona...This study addressed the critical need for an integrated,personalized approach to perimenopausal mental health,addressing both biological and psychosocial fac-tors.Current research highlighted the influence of hormonal fluctuations,genetic predispositions,and lifestyle factors in shaping perimenopausal mental health outcomes.This transitional period is marked by significant hormonal fluctuations contributing to heightened anxiety,depression,and sleep disturbances,affecting the women’s quality of life.Traditional pharmacological treatments,including selective serotonin reuptake inhibitors and hormone replacement therapy,have limitations due to variable efficacy and side effects,emphasizing the need for precision medicine.Advancements in pharmacogenomics and metabolomics provide new avenues for individualized treatments,with genetic markers(e.g.,Solute carrier organic anion transporter family member 1B1,estrogen receptor 1/estrogen receptor 2,and tachykinin receptor 3)guiding hormone therapy resp-onses.Emerging digital health technologies,such as artificial intelligence-driven diagnostics,wearable monitoring,and telehealth platforms,offer scalable,real-time mental health support,though regulatory and clinical validation challenges remain.Furthermore,integrative treatment models combining hormone-based therapy with non-pharmacological interventions demonstrate significant efficacy in alleviating perimenopausal symptoms.Future directions should prioritize the clinical validation and ethical implementation of digital health solutions,ensuring safety,efficacy,and user accessibility.A multidisciplinary,patient-centric model,incorporating genetics,endocrinology,digital health,and psychosocial interventions,is essential for optimizing perimenopausal mental health outcomes.展开更多
Objectives This systematic review aimed to identify effective and cost-effective digital health interventions to improve self-management behaviors,blood pressure control,and cardiovascular risk reduction.Methods A sea...Objectives This systematic review aimed to identify effective and cost-effective digital health interventions to improve self-management behaviors,blood pressure control,and cardiovascular risk reduction.Methods A search for randomized and non-randomized control trials of digital health interventions among patients with uncontrolled hypertension was conducted from the databases of Embase,PubMed,Scopus,CINAHL,Web of Science,PsycINFO,Thai Journal Online(ThaiJO),the Faculty of Nursing Mahidol University(FON-MU)Nursing Research Database,and gray literature.After conducting the literature screening,the authors completed data extraction,and the risk of bias was assessed using the Joanna Briggs Institute randomized controlled trial checklist and the Joanna Briggs Institute critical appraisal checklist for quasi-experimental studies.Results The study included 22 articles,comprising 30 to 4,118 patients with uncontrolled hypertension.This review classified and summarized the components of digital health interventions and their effects on hypertensive outcomes.It was found that the key elements of digital health interventions include health education,reminders,self-monitoring,feedback and consultation,and instrumental support.Moreover,approximately 81.81%(n=18)of the digital health interventions involved healthcare providers participating in feedback and consultation.Additionally,digital health interventions effectively improve hypertensive outcomes such as self-management behaviors,blood pressure control,and cardiovascular risk reduction,providing cost-effectiveness.Conclusion Based on the available literature,digital health interventions have been shown to effectively enhance behavioral,clinical,and economic outcomes for individuals with uncontrolled hypertension.Moreover,the combination of digital health interventions and healthcare providers’interventions can potentially help patients with uncontrolled hypertension improve adherence to self-management when compared to stand-alone digital health interventions.Digital health interventions to support self-management interventions should be developed for patients by healthcare providers.展开更多
Modern western medicine typically focuses on treating specific symptoms or diseases,and traditional Chinese medicine(TCM)emphasizes the interconnections of the body’s various systems under external environment and ta...Modern western medicine typically focuses on treating specific symptoms or diseases,and traditional Chinese medicine(TCM)emphasizes the interconnections of the body’s various systems under external environment and takes a holistic approach to preventing and treating diseases.Phenomics was initially introduced to the field of TCM in 2008 as a new discipline that studies the laws of integrated and dynamic changes of human clinical phenomes under the scope of the theories and practices of TCM based on phenomics.While TCM Phenomics 1.0 has initially established a clinical phenomic system centered on Zhenghou(a TCM definition of clinical phenome),bottlenecks remain in data standardization,mechanistic interpretation,and precision intervention.Here,we systematically elaborates on the theoretical foundations,technical pathways,and future challenges of integrating digital medicine with TCM phenomics under the framework of“TCM phenomics 2.0”,which is supported by digital medicine technologies such as artificial intelligence,wearable devices,medical digital twins,and multi-omics integration.This framework aims to construct a closed-loop system of“Zhenghou–Phenome–Mechanism–Intervention”and to enable the digitization,standardization,and precision of disease diagnosis and treatment.The integration of digital medicine and TCM phenomics not only promotes the modernization and scientific transformation of TCM theory and practice but also offers new paradigms for precision medicine.In practice,digital tools facilitate multi-source clinical data acquisition and standardization,while AI and big data algorithms help reveal the correlations between clinical Zhenghou phenomes and molecular mechanisms,thereby improving scientific rigor in diagnosis,efficacy evaluation,and personalized intervention.Nevertheless,challenges persist,including data quality and standardization issues,shortage of interdisciplinary talents,and insufficiency of ethical and legal regulations.Future development requires establishing national data-sharing platforms,strengthening international collaboration,fostering interdisciplinary professionals,and improving ethical and legal frameworks.Ultimately,this approach seeks to build a new disease identification and classification system centered on phenomes and to achieve the inheritance,innovation,and modernization of TCM diagnostic and therapeutic patterns.展开更多
文摘Orders for more than 200 computers were received in just two months after a purchasing agreement was signed in the first half of last year between the American-owned Digital Company and the Power Science Academy of the Ministry of Power Industry. The Alpha AXP system computers, recently
文摘Cyber-Physical Systems(CPS)represent an integration of computational and physical elements,revolutionizing industries by enabling real-time monitoring,control,and optimization.A complementary technology,Digital Twin(DT),acts as a virtual replica of physical assets or processes,facilitating better decision making through simulations and predictive analytics.CPS and DT underpin the evolution of Industry 4.0 by bridging the physical and digital domains.This survey explores their synergy,highlighting how DT enriches CPS with dynamic modeling,realtime data integration,and advanced simulation capabilities.The layered architecture of DTs within CPS is examined,showcasing the enabling technologies and tools vital for seamless integration.The study addresses key challenges in CPS modeling,such as concurrency and communication,and underscores the importance of DT in overcoming these obstacles.Applications in various sectors are analyzed,including smart manufacturing,healthcare,and urban planning,emphasizing the transformative potential of CPS-DT integration.In addition,the review identifies gaps in existing methodologies and proposes future research directions to develop comprehensive,scalable,and secure CPSDT systems.By synthesizing insights fromthe current literature and presenting a taxonomy of CPS and DT,this survey serves as a foundational reference for academics and practitioners.The findings stress the need for unified frameworks that align CPS and DT with emerging technologies,fostering innovation and efficiency in the digital transformation era.
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Objective To evaluate and reduce inter-observer variations in the detection and characterization of pulmonary nodules on digital radiograph （DR） chest images. Methods Two hundreds and thirty-two new posterior-anterior DR chest images were collected from out-patient screening patients. Consensus was reached by two experienced radiologists on the marking, rating, and segmentation of small actionable nodules ranged from 5 to 15 mm in diameter using a computer-aided diagnosis （CAD） system. Both their own nodule findings and the computer＇s automatic nodule detection results were analyzed to make the consensus. Nodules identified together with corresponding likelihood rating and segmentation results were referred as ＂Gold Stand- ard＂. Two un-experienced radiologists were asked to first mark and characterize suspicious nodules independently, then were allowed to consult the computer nodule detection results and change their decisions. Results Large inter-observer variations in pulmonary nodule identification and characterization on DR chest images were observed between un-experienced radiologists. Un-expefienced radiologists could greatly benefit from the CAD system, including substantial decrease of inter-observer variation and improvement of nodule detection rates. Moreover, radiologists with different levels of skillfulness could achieve similar high level performance after using the CAD system. Conclusion The CAD system shows a high potential for providing a valuable assistance to the examination of DR chest images.
文摘Objective To assess inter-observer variations of pulmonary nodule marking in routine clinical chest digital radiograph (DR) softcopy reading by using a lung nodule computer toolkit.Methods A total of 601 chest posterior-anterior DR images were randomly selected from routine outpatient screening in Peking Union Medical College Hospital. Two chest radiologists with experience more than ten years were first asked to read the images and mark all suspicious nodules independently by using computer toolkit IQQA-Chest, and to indicate the likelihood for each nodule detected. They were also asked to draw the boundary of the identified nodule manually on an enlarged region of interest, which was instantly analyzed by IQQA-Chest. Two sets of diagnostic reports, including the marked nodules, likelihood, manually drawn boundaries, quantitative measurements, and radiologists’ names, were automatically generated and stored by the computer system. One week later, the two radiologists read the same images together by using the same computer toolkit without referring to their previous reading results. Marking procedure was the same except that consensus was reached for each suspicious region. Statistical analysis tools provided in the IQQA-Chest were used to compare all the three sets of reading results.Results In the independent readings, Reader 1 detected 409 nodules with a mean diameter of 12.4 mm in 241 patients, and Reader 2 detected 401 nodules with a mean diameter of 12.6 mm in 253 patients. In the consensus reading, a total of 352 nodules with a mean diameter of 12.4 mm were detected in 220 patients. Totally, 42.3% of Reader 1’s and 45.1% of Reader 2’s marks were confirmed by the consensus reading. About 40% of each reader’s marks agreed with the other. There were only 130 (14.4%) out of the total 904 unique nodules were confirmed by both readers and the consensus reading. Moreover, 5.6% (51/904) of the marked regions were rated identical likelihood in all three readings. Statistical analysis showed significant differences between Readers 1 and 2, and between consensus and Reader 2 in determining the likelihood of the marks (P<0.01), but not between consensus and Reader 1. No significant difference in terms of size was observed in nodule segmentation between either two of the three readings. Conclusion Large variations in nodule marking and nodule-likelihood determination but not in nodule size were observed between experts as well as between single-person reading and consensus reading.
文摘<strong>Background:</strong> Worldwide, prostatic adenocarcinoma is the most common tumour type among men. <strong>Aim:</strong> The aim of the present investigation was to develop a computer program to identify normal prostate biopsies and distinguish them from biopsies showing premalignant alterations (LGPIN, HGPIN) and adenocarcinoma. <strong>Method:</strong> Prostate biopsies (n = 2094) taken from 191 consecutive men during 2016 were stained with triple immunehistochemisty (antibodies to AMACRA, p63 and CK 5). Digital images of the biopsies were obtained with a scanning microscope and used to develop an automatic computer program (CelldaTM), intended to identify the morphological alterations. Visual microscopic finding was used as a reference. <strong>Result:</strong> Of the 191 men, 121 (63.4%) were diagnosed as having prostate adenocarcinoma and 70 (36.6%) as having no malignancy on the basis of the visual microscopy. In comparison, computer analysis identified 134 (70.2%) men with malignant disease and 57 (29.8%) with non-malignant disease after exclusion of artifacts, which constituted 10.4% of areas (indicated as malignant disease). Discrepant results were recorded in 15 (7.9%) men, and in 14 of these cases, HGPIN and areas suggestive of early invasion were common. Thus, it was uncertain whether these cases should be regarded as malignant or not. The agreement between the visual examination and the computer analysis was 92.1% (kappa value 0.823, sensitivity 99.2 and specificity was 0.80). <strong>Conclusion:</strong> It seems that computer analysis could serve as an adjunct to simplify and shorten the diagnostic procedure, first of all by ensuring that normal prostate biopsies are sorted out from those sent for visual microscopic evaluation.
基金Supported by Beijing Municipal Natural Science Foundation of China(Grant No.24JL002)China Postdoctoral Science Foundation(Grant No.2024M754054)+2 种基金National Natural Science Foundation of China(Grant No.52120105008)Beijing Municipal Outstanding Young Scientis Program of Chinathe New Cornerstone Science Foundation through the XPLORER PRIZE。
文摘With the continuous advancement and maturation of technologies such as big data,artificial intelligence,virtual reality,robotics,human-machine collaboration,and augmented reality,many enterprises are finding new avenues for digital transformation and intelligent upgrading.Industry 5.0,a further extension and development of Industry 4.0,has become an important development trend in industry with more emphasis on human-centered sustainability and flexibility.Accordingly,both the industrial metaverse and digital twins have attracted much attention in this new era.However,the relationship between them is not clear enough.In this paper,a comparison between digital twins and the metaverse in industry is made firstly.Then,we propose the concept and framework of Digital Twin Systems Engineering(DTSE)to demonstrate how digital twins support the industrial metaverse in the era of Industry 5.0 by integrating systems engineering principles.Furthermore,we discuss the key technologies and challenges of DTSE,in particular how artificial intelligence enhances the application of DTSE.Finally,a specific application scenario in the aviation field is presented to illustrate the application prospects of DTSE.
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 this paper, we conduct research on modem music composition development direction under the digital and computer background. We can hear the music work, at ordinary times is the musician and sound engineer through three different stages of product created by mutual cooperation. The development of computer music has impact to the music every aspect of life, including various music creation process, cause the changes of some design principles. This change may be denied the traditional, also may be denied the traditional that is on the development of traditional principles. We integrate the concepts and principles of the digital perspective to propose our methodology on issues of computer music develooment that holds vital siznificance and meaning.
文摘The report examines the evolution of computers from digital analogs through non-yon Neumann machines to quantum computers, which are also digital analogs. In the 60 years of digital analogs successfully developed at the Institute of Electromechanics of the USSR in Leningrad. An important stage in the development of non-classical multiprocessor machine performance and reliability has been the development of recursive machines, which was carried out at the Institute of Cybernetics led V.M.Glushkov and the Leningrad Institute of Aviation Instrumentation. The general approach to the synthesis is carried out through linguo- combinatorial modeling with structured uncertainty.
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.
基金Strategic Priority Research Program of the Chinese Academy of Sciences,No.XDB0740000National Key Research and Development Program of China,No.2022YFB3904200,No.2022YFF0711601+1 种基金Key Project of Innovation LREIS,No.PI009National Natural Science Foundation of China,No.42471503。
文摘Deep-time Earth research plays a pivotal role in deciphering the rates,patterns,and mechanisms of Earth's evolutionary processes throughout geological history,providing essential scientific foundations for climate prediction,natural resource exploration,and sustainable planetary stewardship.To advance Deep-time Earth research in the era of big data and artificial intelligence,the International Union of Geological Sciences initiated the“Deeptime Digital Earth International Big Science Program”(DDE)in 2019.At the core of this ambitious program lies the development of geoscience knowledge graphs,serving as a transformative knowledge infrastructure that enables the integration,sharing,mining,and analysis of heterogeneous geoscience big data.The DDE knowledge graph initiative has made significant strides in three critical dimensions:(1)establishing a unified knowledge structure across geoscience disciplines that ensures consistent representation of geological entities and their interrelationships through standardized ontologies and semantic frameworks;(2)developing a robust and scalable software infrastructure capable of supporting both expert-driven and machine-assisted knowledge engineering for large-scale graph construction and management;(3)implementing a comprehensive three-tiered architecture encompassing basic,discipline-specific,and application-oriented knowledge graphs,spanning approximately 20 geoscience disciplines.Through its open knowledge framework and international collaborative network,this initiative has fostered multinational research collaborations,establishing a robust foundation for next-generation geoscience research while propelling the discipline toward FAIR(Findable,Accessible,Interoperable,Reusable)data practices in deep-time Earth systems research.
文摘Digital technology and the digital economy are at the forefront of the global technological revolution and industrial transformation.They are profoundly reshaping the international landscape of competition and restructuring the world economy.Major countries and economies around the globe are increasingly competing on digital technology and the digital economy,striving to secure a strategic advantage in the new round of international competition and establish a strong position in the evolving international order.
文摘In the dynamic landscape of modern healthcare and precision medicine,the digital revolution is reshaping medical industries at an unprecedented pace,and traditional Chinese medicine(TCM)is no exception[1-4].The paper“From digits towards digitization:the past,present,and future of traditional Chinese medicine”by Academician&TCM National Master Qi WANG(王琦).
文摘Objectives:Childhood and adolescent obesity are an increasing global health concern.This study aimed to evaluate the effectiveness of digital components and interaction types in counseling interventions for prevention and treatment.Methods:All studies were searched in online databases and grey literature,including PubMed(Medline),Web of Science,CINAHL,Scopus,IEEE Xplore Digital Library,Journal of Medical Internet Research(JMIR),MedNar,EBSco Open Dissertations.The search period is from inception to June 2023,and the languages are Finnish,English and Swedish.The research quality was evaluated using the web-based data management system Covidence for prevalence studies.The study protocol was registered with PROSPERO(registration number:CRD42021247595).Results:In this review,4,407 studies were screened,and 22 were included.These involved 3,433 participants and 264 child-parent pairs.The digital approaches included multicomponent elements like internet platforms,text messaging,video conferencing,online communities,wearable technology,and mobile apps,allowing one-way,two-way,and face-to-face interactions.Two studies showed statistically significant effects of treatment on BMI and waist-to-hip ratio.Most interventions reported positive outcomes,with no significant differences between groups,and none showed null effects during followup.Conclusions:Digital multicomponents like mobile apps and wearables can help obese children and adolescents adopt healthier lifestyles.While these interventions show promise for obesity management,further research is needed to assess their effectiveness,particularly regarding nurses'perspectives.
基金Supported by the Basic Science Research Program through the National Research Foundation of Korea funded by the Ministry of Education,No.RS-2023-00237287。
文摘This study addressed the critical need for an integrated,personalized approach to perimenopausal mental health,addressing both biological and psychosocial fac-tors.Current research highlighted the influence of hormonal fluctuations,genetic predispositions,and lifestyle factors in shaping perimenopausal mental health outcomes.This transitional period is marked by significant hormonal fluctuations contributing to heightened anxiety,depression,and sleep disturbances,affecting the women’s quality of life.Traditional pharmacological treatments,including selective serotonin reuptake inhibitors and hormone replacement therapy,have limitations due to variable efficacy and side effects,emphasizing the need for precision medicine.Advancements in pharmacogenomics and metabolomics provide new avenues for individualized treatments,with genetic markers(e.g.,Solute carrier organic anion transporter family member 1B1,estrogen receptor 1/estrogen receptor 2,and tachykinin receptor 3)guiding hormone therapy resp-onses.Emerging digital health technologies,such as artificial intelligence-driven diagnostics,wearable monitoring,and telehealth platforms,offer scalable,real-time mental health support,though regulatory and clinical validation challenges remain.Furthermore,integrative treatment models combining hormone-based therapy with non-pharmacological interventions demonstrate significant efficacy in alleviating perimenopausal symptoms.Future directions should prioritize the clinical validation and ethical implementation of digital health solutions,ensuring safety,efficacy,and user accessibility.A multidisciplinary,patient-centric model,incorporating genetics,endocrinology,digital health,and psychosocial interventions,is essential for optimizing perimenopausal mental health outcomes.
基金the support provided by the 2D43 TW009883 D43 Post-Doctoral Program at the School of Nursing,University of Michigan,USA。
文摘Objectives This systematic review aimed to identify effective and cost-effective digital health interventions to improve self-management behaviors,blood pressure control,and cardiovascular risk reduction.Methods A search for randomized and non-randomized control trials of digital health interventions among patients with uncontrolled hypertension was conducted from the databases of Embase,PubMed,Scopus,CINAHL,Web of Science,PsycINFO,Thai Journal Online(ThaiJO),the Faculty of Nursing Mahidol University(FON-MU)Nursing Research Database,and gray literature.After conducting the literature screening,the authors completed data extraction,and the risk of bias was assessed using the Joanna Briggs Institute randomized controlled trial checklist and the Joanna Briggs Institute critical appraisal checklist for quasi-experimental studies.Results The study included 22 articles,comprising 30 to 4,118 patients with uncontrolled hypertension.This review classified and summarized the components of digital health interventions and their effects on hypertensive outcomes.It was found that the key elements of digital health interventions include health education,reminders,self-monitoring,feedback and consultation,and instrumental support.Moreover,approximately 81.81%(n=18)of the digital health interventions involved healthcare providers participating in feedback and consultation.Additionally,digital health interventions effectively improve hypertensive outcomes such as self-management behaviors,blood pressure control,and cardiovascular risk reduction,providing cost-effectiveness.Conclusion Based on the available literature,digital health interventions have been shown to effectively enhance behavioral,clinical,and economic outcomes for individuals with uncontrolled hypertension.Moreover,the combination of digital health interventions and healthcare providers’interventions can potentially help patients with uncontrolled hypertension improve adherence to self-management when compared to stand-alone digital health interventions.Digital health interventions to support self-management interventions should be developed for patients by healthcare providers.
基金Science and Technology strategic cooperation Programs of Luzhou Municipal People’s Government and Southwest Medical University (2019LZXNYD-P01DUAN)National Key R&D Program of China (2024YFC3505400)Regional Key R&D Program of Ningxia Hui Autonomous Region (2024BEG01003)。
文摘Modern western medicine typically focuses on treating specific symptoms or diseases,and traditional Chinese medicine(TCM)emphasizes the interconnections of the body’s various systems under external environment and takes a holistic approach to preventing and treating diseases.Phenomics was initially introduced to the field of TCM in 2008 as a new discipline that studies the laws of integrated and dynamic changes of human clinical phenomes under the scope of the theories and practices of TCM based on phenomics.While TCM Phenomics 1.0 has initially established a clinical phenomic system centered on Zhenghou(a TCM definition of clinical phenome),bottlenecks remain in data standardization,mechanistic interpretation,and precision intervention.Here,we systematically elaborates on the theoretical foundations,technical pathways,and future challenges of integrating digital medicine with TCM phenomics under the framework of“TCM phenomics 2.0”,which is supported by digital medicine technologies such as artificial intelligence,wearable devices,medical digital twins,and multi-omics integration.This framework aims to construct a closed-loop system of“Zhenghou–Phenome–Mechanism–Intervention”and to enable the digitization,standardization,and precision of disease diagnosis and treatment.The integration of digital medicine and TCM phenomics not only promotes the modernization and scientific transformation of TCM theory and practice but also offers new paradigms for precision medicine.In practice,digital tools facilitate multi-source clinical data acquisition and standardization,while AI and big data algorithms help reveal the correlations between clinical Zhenghou phenomes and molecular mechanisms,thereby improving scientific rigor in diagnosis,efficacy evaluation,and personalized intervention.Nevertheless,challenges persist,including data quality and standardization issues,shortage of interdisciplinary talents,and insufficiency of ethical and legal regulations.Future development requires establishing national data-sharing platforms,strengthening international collaboration,fostering interdisciplinary professionals,and improving ethical and legal frameworks.Ultimately,this approach seeks to build a new disease identification and classification system centered on phenomes and to achieve the inheritance,innovation,and modernization of TCM diagnostic and therapeutic patterns.
