Objectives This study aimed to develop a blueprint based on empirical data to guide the integration of nursing informatics(NI)into undergraduate nursing programs.Methods This study employed a qualitative,holistic mult...Objectives This study aimed to develop a blueprint based on empirical data to guide the integration of nursing informatics(NI)into undergraduate nursing programs.Methods This study employed a qualitative,holistic multiple-case study design,allowing each case to be examined as an integrated contextual system.Data were obtained from four cases—two from Australian universities and two from South African universities—all of which were public institutions offering undergraduate nursing programs.Twenty-one academic staff participated.Data collection involved semi-structured interviews,document review,and field observations.The documents reviewed included national digital health strategies,health informatics and NI standards,nursing education policies,accreditation standards,and curriculum guidelines.Materials from institutions—including subject outlines,program handbooks,and teaching policies—were also reviewed to gain a better understanding of how NI was integrated in each case.An individual case analysis employed conventional content analysis,followed by a cross-case thematic comparison.Data collection and analysis were conducted iteratively until saturation was achieved.Results This study highlighted the need for NI in undergraduate nursing programs.Foundational competencies,such as computer and information literacy,and advanced NI competencies,including digital health literacy,data security,and privacy literacy,alongside other competencies,were identified across varying levels of proficiency.Data from four cases led to the development of a blueprint to guide the integration of NI into undergraduate curricula.It comprises eight context-responsive steps,including situational and training needs analysis,NI competency identification and mapping against national and international standards,NI content development,sequencing NI content and experience,NI content review,implementation,and evaluation.The blueprint promotes responsive curricula that strengthen NI capabilities and readiness for digital healthcare.Conclusion The blueprint aligns with nursing education priorities,workforce needs,and emerging technologies,thereby supporting NI competency development that advances digitally transformed healthcare.展开更多
Objective:Nurse-led virtual outpatient clinics are now a familiar component of healthcare delivery across many disciplines,including cancer care,or thopedics,rheumatology,and gastroenterology.However,establishing a nu...Objective:Nurse-led virtual outpatient clinics are now a familiar component of healthcare delivery across many disciplines,including cancer care,or thopedics,rheumatology,and gastroenterology.However,establishing a nurse-led vir tual clinic is challenging for nursing management,par ticularly regarding resources.We aimed to investigate nursing practices and processes and patient experiences in relation to vir tual outpatient clinics.Methods:This was a cross-sectional,descriptive study using mixed data collection methods.Patients(n=324)from 4 specialist clinics completed the Virtual Clinics Patient Satisfaction Questionnaire(VCSQ)survey.Five Nurse Specialists participated in a focus group interview.Results:Most participants(86.3%)reported being satisfied/very satisfied with the virtual clinics,particularly those that were nurse-led.Nurse specialists identified electronic health records(EHRs)and additional IT and administrative support as important for efficiency and effectiveness of the clinics.Conclusions:Nurse-led virtual clinics can be an effective and efficient way to provide care to patients.Nurse managers need to ensure supportive structures are in place,for example,dedicated administrators,IT support and infrastructure,education/training,and relevant policies/procedures.The success of nurse-led virtual services requires key infrastructure to support nursing staff and sustain this service.展开更多
Objective The study of medicine formulas is a core component of traditional Chinese medicine(TCM),yet traditional learning methods often lack interactivity and contextual understanding,making it challenging for beginn...Objective The study of medicine formulas is a core component of traditional Chinese medicine(TCM),yet traditional learning methods often lack interactivity and contextual understanding,making it challenging for beginners to grasp the intricate composition rules of formulas.To address this gap,we introduce Formula-S,a situated visualization method for TCM formula learning in augmented reality(AR)and evaluate its performance.This study aims to evaluate the effectiveness of Formula-S in enhancing TCM formula learning for beginners by comparing it with traditional text-based formula learning and web-based visualization.Methods Formula-S is an interactive AR tool designed for TCM formula learning,featuring three modes(3D,Web,and Table).The dataset included TCM formulas and herb properties extracted from authoritative references,including textbook and the SymMap database.In Formula-S,the hierarchical visualization of the formulas as herbal medicine compositions,is linked to the multidimensional herb attribute visualization and embedded in the real world,where real herb samples are presented.To evaluate its effectiveness,a controlled study(n=30)was conducted.Participants who had no formal TCM knowledge were tasked with herbal medicine identification,formula composition,and recognition.In the study,participants interacted with the AR tool through HoloLens 2.Data were collected on both task performance(accuracy and response time)and user experience,with a focus on task efficiency,accuracy,and user preference across the different learning modes.Results The situated visualization method of Formula-S had comparable accuracy to other methods but shorter response time for herbal formula learning tasks.Regarding user experience,our new approach demonstrated the highest system usability and lowest task load,effectively reducing cognitive load and allowing users to complete tasks with greater ease and efficiency.Participants reported that Formula-S enhanced their learning experience through its intuitive interface and immersive AR environment,suggesting this approach offers usability advantages for TCM education.Conclusions The situated visualization method in Formula-S offers more efficient and accurate searching capabilities compared to traditional and web-based methods.Additionally,it provides superior contextual understanding of TCM formulas,making it a promising new solution for TCM learning.展开更多
The rapid advancement of information technology has promoted the development of informatization in universities. The freshmen welcome information system of universities is the first important system to showcase the di...The rapid advancement of information technology has promoted the development of informatization in universities. The freshmen welcome information system of universities is the first important system to showcase the digital level of the university to new students. With the expansion of the enrollment scale of universities, improving the efficiency of welcoming work has become an urgent problem to be solved. This article analyzes the characteristics and existing problems of the welcoming work, combined with the main technical methods of information system construction, and based on the comprehensive situation of information systems in our university, proposes the construction goals and ideas of the welcoming information system, summarizes the construction process and operation results of the welcome system, and explores possible directions for future optimization.展开更多
The smart city is not only a crucial means of promoting sustainable development,but also a strategic approach to advancing scientific urban development and governance on a global scale.Based on a textual co-occurrence...The smart city is not only a crucial means of promoting sustainable development,but also a strategic approach to advancing scientific urban development and governance on a global scale.Based on a textual co-occurrence analysis of policy documents,this study examines the components,development pathways,and models of smart cities in China.It identifies three distinct phases in the development process:the information project-driven phase,the holistic development phase,and the collaborative development phase.Overall,the development of smart cities in China-characterized by a strong focus on information technology projects-was primarily initiated by both central and local governments.Reflecting on the informatization process and the trajectory of smart city development in China since the mid-1990s,this paper argues that smart city initiatives must evolve beyond a purely technology-driven framework toward a more human-centered approach.Against the backdrop of ongoing urbanization and urban transformation in China,this study proposes future development strategies that integrate top-down government planning with bottom-up public engagement.It advocates for a comprehensive framework that integrates technology,human needs,and spatial planning,emphasizing the spatiotemporal coordination between technological implementation and stakeholder demands.This research offers valuable insights and strategic guidance for the future development of smart cities worldwide.展开更多
As a result of breakthroughs in computational approaches mixed with a boom in multi-omics data,the development of numerous digital medicines and bioinformatics tools have aided in speeding up the healthcare industry p...As a result of breakthroughs in computational approaches mixed with a boom in multi-omics data,the development of numerous digital medicines and bioinformatics tools have aided in speeding up the healthcare industry process.The traditional healthcare development method has been further rationalized with the introduction of artificial intelligence(AI),deep learning(DL),and machine learning(ML).Wide-ranging biological and clinical data in the form of big data,which is stored in various databases worldwide,serve as the raw material for AI-based methods and aid in the precise identification of patterns and models.These patterns and models can be used to identify novel therapeutically active molecules with significantly less time,financial investment,and workforce.This review article provides insights into understanding the principles of AI technologies such as next-generation sequencing(NGS),natural language processing(NLP),radiological images,patients-electronic medical records(EMR),and drug discovery as well as how they should be used in ethical,economic,and social ramifications of AI.This review also highlights various applications of AI in the healthcare industry,along with the analyses of different AI technologies.Additionally,it will offer helpful suggestions to assist decision-makers in creating an AI plan that would support their shift to a digital healthcare system.展开更多
Volunteer engagement in emergency management,focusing on mitigating adverse consequences,has attracted scholarly and practitioner attention.Digital volunteering helps overcome the limitations of traditional on-site vo...Volunteer engagement in emergency management,focusing on mitigating adverse consequences,has attracted scholarly and practitioner attention.Digital volunteering helps overcome the limitations of traditional on-site volunteering through extensive volunteering opportunities in emergency management.This study utilizes a case text analysis and interviews to investigate and categorize digital volunteer services in emergency scenarios.Based on two key dimensions—direct recipients of volunteer services and the nature of the services rendered—the study presents four types of digital volunteer services:bridging,supportive,complementary,and collaborative.Moreover,it delineates eight role archetypes digital volunteers assume in emergency response situations along with their primary service contributions.Compared to conventional on-site volunteer services,digital volunteer services offer unique advantages while facing specific challenges.Finally,this study offers recommendations in four dimensions for the robust development of digital volunteer services,contributing to more effective and sustainable emergency management practices.展开更多
Polymer informatics faces challenges owing to data scarcity arising from complex chemistries,experimental limitations,and process-ing-dependent properties.This review presents the recent advances in data-efficient mac...Polymer informatics faces challenges owing to data scarcity arising from complex chemistries,experimental limitations,and process-ing-dependent properties.This review presents the recent advances in data-efficient machine learning for polymers.First,data preparation tech-niques such as data augmentation and rational representation help expand the dataset size and develop useful features for learning.Second,modeling approaches,including classical algorithms and physics-informed methods,enhance the model robustness and reliability under limited data conditions.Third,learning strategies,such as transferlearning and active learning,aim to improve generalization and guide efficient data ac-quisition.This review concludes by outlining future opportunities in machine learning for small-data scenarios in polymers.This review is expect-ed to serve as a useful tool for newcomers and offer deeper insights for experienced researchers in the field.展开更多
As a key national project,a newly built plateau railway features a large proportion of tunnels and high construction difficulty.To reduce the voids in the secondary lining of tunnels and address issues such as ineffec...As a key national project,a newly built plateau railway features a large proportion of tunnels and high construction difficulty.To reduce the voids in the secondary lining of tunnels and address issues such as ineffective vibration of the vault,vault voiding,and the inability to monitor the casting status during tunnel lining construction with ordinary lining trolleys,a new smart lining trolley with large clearance that integrates functions such as vibration,automatic casting,and pressure monitoring has been developed.This was achieved by combining the functional design of the new smart lining trolley,comparing traditional construction techniques,and introducing information-based and intelligent design concepts.Through simulation calculations using finite element software modeling,it is verified that the structural stiffness,strength,and other performance parameters of the smart lining trolley meet the technical design requirements.展开更多
We are now in the era of big data for biodiversity science.More and larger datasets on species geographic distributions,community composition,and functional traits are now becoming more increasingly than ever before.C...We are now in the era of big data for biodiversity science.More and larger datasets on species geographic distributions,community composition,and functional traits are now becoming more increasingly than ever before.Correctly applying taxon names is a prerequisite for robust biodiversity studies of all taxonomic groups.展开更多
Targeted cancer therapy has emerged as a promising alternative to conventional chemotherapy,which is often plagued by poor selectivity,off-target effects,and drug resistance.Among the various targeting agents in devel...Targeted cancer therapy has emerged as a promising alternative to conventional chemotherapy,which is often plagued by poor selectivity,off-target effects,and drug resistance.Among the various targeting agents in development,peptides stand out for their unique advantages,including minimal immunogenicity,high tissue penetration,and ease of modification.Their small size,specificity,and flexibility allow them to target cancer cells while minimizing damage to healthy tissue selectively.Peptide-based therapies have shown great potential in enhancing the efficacy of drug delivery,improving tumor imaging,and reducing adverse effects.With cancer responsible for millions of deaths worldwide,the development of peptide-based therapeutics offers new hope in addressing the limitations of current treatments.As detailed studies on different aspects of targeting peptides are crucial for optimizing drug development,this review provides a comprehensive overview of the literature on tumor-targeting peptides,including their structure,sources,modes of action,and their application in cancer therapy—both as standalone agents and in fusion drugs.Additionally,various computational tools for peptide-based tumor-targeting drug design and validation are explored.The promising results from these studies highlight peptides as ideal candidates for targeted cancer therapies,offering valuable insights for researchers and accelerating the discovery of novel anti-tumor peptide base drug candidates.展开更多
In the health field,longitudinal studies involve the recording of clinical observations of the same sample of pa-tients over successive periods,referred to as waves.This type of database serves as a valuable source of...In the health field,longitudinal studies involve the recording of clinical observations of the same sample of pa-tients over successive periods,referred to as waves.This type of database serves as a valuable source of infor-mation and insights,particularly when examining the temporal aspect,allowing the extraction of relevant and non-obvious knowledge.The triadic concept analysis theory has been proposed to describe the ternary re-lationships between objects,attributes,and conditions.In this study,we present a methodology for exploring longitudinal health databases using both the triadic theory and triadic rules,which are similar to association rules but incorporate temporal relations.Through four case studies,we demonstrate the potential of applying triadic analysis to longitudinal databases to identify risk patterns,enhance decision-making processes,and deepen our understanding of temporal dynamics.These findings suggest a promising approach for describing longitudinal databases and obtaining insights to improve clinical decision-support systems for disease treatment.展开更多
In the information age,the movement of livelihood factors between urban and rural areas,particularly involving farmers in rural tourism destinations,has stimulated the spatial revitalization and functional renewal of ...In the information age,the movement of livelihood factors between urban and rural areas,particularly involving farmers in rural tourism destinations,has stimulated the spatial revitalization and functional renewal of these destinations,thereby facilitating the advancement of rural revitalization.The examination of livelihood strategy selection among farmers in rural tourist destinations during the information age is a critical scientific inquiry for the sustainable development of rural tourism.This research holds substantial significance for enhancing the livelihood capabilities of farmers and contributing to the revitalization of rural industries.This study utilizes Xijiang Miao Village as a case study to conduct an in-depth analysis of farmers’livelihood strategy selection through the application of the entropy evaluation method and the binary logistic regression model.The findings indicate that the robust development of rural tourism has led to significant alterations in the original composition of livelihood capital in tourist destinations.Currently,four distinct types of livelihoods have been identified:agricultural-based,migrantwork-oriented,tourism-specialized,and tourism-supplemented.Due to the uneven distribution of livelihood capital,the predominant livelihood modes for farmers in rural tourism destinations remain the agricultural-based and tourism-supplemented types.Human capital and economic capital are the primary factors influencing the strategic choices made by farmers.In this context,a livelihood selection strategy for farmers in rural tourist destinations,specifically in Xijiang Miao Village,is proposed,taking into account the background of rural informatization.展开更多
Background Medical informatics accumulated vast amounts of data for clinical diagnosis and treatment.However,limited access to follow-up data and the difficulty in integrating data across diverse platforms continue to...Background Medical informatics accumulated vast amounts of data for clinical diagnosis and treatment.However,limited access to follow-up data and the difficulty in integrating data across diverse platforms continue to pose significant barriers to clinical research progress.In response,our research team has embarked on the development of a specialized clinical research database for cardiology,thereby establishing a comprehensive digital platform that facilitates both clinical decision-making and research endeavors.Methods The database incorporated actual clinical data from patients who received treatment at the Cardiovascular Medicine Department of Chinese PLA General Hospital from 2012 to 2021.It included comprehensive data on patients'basic information,medical history,non-invasive imaging studies,laboratory test results,as well as peri-procedural information related to interventional surgeries,extracted from the Hospital Information System.Additionally,an innovative artificial intelligence(AI)-powered interactive follow-up system had been developed,ensuring that nearly all myocardial infarction patients received at least one post-discharge follow-up,thereby achieving comprehensive data management throughout the entire care continuum for highrisk patients.Results This database integrates extensive cross-sectional and longitudinal patient data,with a focus on higher-risk acute coronary syndrome patients.It achieves the integration of structured and unstructured clinical data,while innovatively incorporating AI and automatic speech recognition technologies to enhance data integration and workflow efficiency.It creates a comprehensive patient view,thereby improving diagnostic and follow-up quality,and provides high-quality data to support clinical research.Despite limitations in unstructured data standardization and biological sample integrity,the database's development is accompanied by ongoing optimization efforts.Conclusion The cardiovascular specialty clinical database is a comprehensive digital archive integrating clinical treatment and research,which facilitates the digital and intelligent transformation of clinical diagnosis and treatment processes.It supports clinical decision-making and offers data support and potential research directions for the specialized management of cardiovascular diseases.展开更多
Spleen-Stomach disorders are prevalent clinical conditions in Traditional Chinese Medicine(TCM).The complex diagnostic and treatment model used in TCM is based on a“symptom-pattern-disease-formula”framework that hea...Spleen-Stomach disorders are prevalent clinical conditions in Traditional Chinese Medicine(TCM).The complex diagnostic and treatment model used in TCM is based on a“symptom-pattern-disease-formula”framework that heavily relies on practitioners’experience.However,this model faces several challenges,including ambiguous knowledge representation,unstructured data,and difficulties with knowledge sharing.Recent advancements in artificial intelligence,natural language processing,and medical knowledge engineering have significantly improved research on knowledge graphs(KGs)and intelligent diagnosis and treatment systems for these disorders,making these technologies crucial for modernizing TCM.This article systematically reviews two core research pathways related to Spleen-Stomach disorders.The first pathway focuses on constructing knowledge graphs for“structured knowledge representation”.This includes ontology modeling,entity recognition,relation extraction,graph fusion,semantic reasoning,visualization services,and an ensemble model to predict treatment efficacy.The second pathway involves the development of intelligent diagnosis and treatment systems,with a focus on“clinical applications”.This pathway includes key technologies such as quantitative modeling of TCM,the four diagnostic methods(inspection,auscultation-olfaction,interrogation,and palpation),semantic analysis of classical texts,pattern differentiation algorithms,and multimodal consultation recommenders.Through the synthesis and analysis of current research,several ongoing challenges have been identified.These include inconsistent models and annotation of TCM clinical knowledge,limited semantic reasoning capabilities,insufficient integration between KGs and intelligent diagnostic models,and limited clinical adaptability of existing intelligent diagnostic systems.To address these challenges,this review suggests future research directions that include enhancing heterogeneous multisource knowledge integration techniques,deepening semantic reasoning through collaborative reasoning frameworks that incorporate large language models,and developing effective cross-disease transfer learning strategies.These directions aim to improve interpretability,reasoning accuracy,and clinical applicability of intelligent diagnosis and treatment systems for Spleen-Stomach disorders in TCM.展开更多
This study examines the current state of informatization education among county high school students.While students demonstrate a strong demand for informatization education,they face significant challenges,including ...This study examines the current state of informatization education among county high school students.While students demonstrate a strong demand for informatization education,they face significant challenges,including inadequate hardware,limited access to online learning resources,and insufficient teacher proficiency in informatization education.Through a questionnaire survey,the research reveals an urgent need for expanded information technology courses and specialized training programs.In response,this paper proposes strategies such as increasing investment in IT education,optimizing teaching methodologies,and providing additional learning opportunities to enhance student engagement and comprehensively improve the quality of IT education and learning outcomes in county high schools.展开更多
With the development of the current era,China’s Internet and computer technologies are constantly updated and improved.Under the application of information technology,great changes have taken place in the financial m...With the development of the current era,China’s Internet and computer technologies are constantly updated and improved.Under the application of information technology,great changes have taken place in the financial management work of schools.At present,the content of school financial management work is constantly increasing.In order to meet the needs of school management,it is necessary to improve the level of financial management,strengthen the informatization construction of financial management,so as to realize the modernization of school financial management and improve the efficiency of financial management.Big data technology and information technology can realize the rapid collection and preprocessing of information,achieve in-depth mining of data value,assist staff in quickly identifying problems in their work,and further improve work efficiency.Based on this,this paper conducts in-depth analysis and research on the informatization construction of financial management in colleges and universities on the basis of big data,for reference.展开更多
Using innovative information means to form the digital management sys- tem of rural residential land is the key point to solve the difficult and hot issues in rural residential land management. In view of the diversit...Using innovative information means to form the digital management sys- tem of rural residential land is the key point to solve the difficult and hot issues in rural residential land management. In view of the diversity, large quantity, and preservation with paper of rural residential land data, a new method for automatic cutting and classification of digital images based on the image data source and us- ing the image processing algorithm and Python programming was proposed in order to achieve rapid and accurate collection and digital storage of rural residential land cadastral data. Using this method, digital image automatic cutting and classification were realized, and the efficiency and accuracy of this method was validated by comparing with the non-support free shooting method and manual image process- ing. The experimental results showed that the efficiency of the data acquisition of the fixed shooting method was 4.24 times of that of the non-support free shooting method with the accuracy rate increasing by 7.1%, and the efficiency of automatic image processing was 35 times of that of manual processing. Based on rapid and accuracy data acquisition, this method realized the automatic processing of digital images, which provided a reference for the research of informatization technology of the whole rural residential land data and has the value of popularization and appli- cation.展开更多
基金funded by James Cook University Postgraduate Research Scholarship(JCUPRS).
文摘Objectives This study aimed to develop a blueprint based on empirical data to guide the integration of nursing informatics(NI)into undergraduate nursing programs.Methods This study employed a qualitative,holistic multiple-case study design,allowing each case to be examined as an integrated contextual system.Data were obtained from four cases—two from Australian universities and two from South African universities—all of which were public institutions offering undergraduate nursing programs.Twenty-one academic staff participated.Data collection involved semi-structured interviews,document review,and field observations.The documents reviewed included national digital health strategies,health informatics and NI standards,nursing education policies,accreditation standards,and curriculum guidelines.Materials from institutions—including subject outlines,program handbooks,and teaching policies—were also reviewed to gain a better understanding of how NI was integrated in each case.An individual case analysis employed conventional content analysis,followed by a cross-case thematic comparison.Data collection and analysis were conducted iteratively until saturation was achieved.Results This study highlighted the need for NI in undergraduate nursing programs.Foundational competencies,such as computer and information literacy,and advanced NI competencies,including digital health literacy,data security,and privacy literacy,alongside other competencies,were identified across varying levels of proficiency.Data from four cases led to the development of a blueprint to guide the integration of NI into undergraduate curricula.It comprises eight context-responsive steps,including situational and training needs analysis,NI competency identification and mapping against national and international standards,NI content development,sequencing NI content and experience,NI content review,implementation,and evaluation.The blueprint promotes responsive curricula that strengthen NI capabilities and readiness for digital healthcare.Conclusion The blueprint aligns with nursing education priorities,workforce needs,and emerging technologies,thereby supporting NI competency development that advances digitally transformed healthcare.
基金supported by Nursing and Midwifery Practice Development Unit(NMPDU),Dublin South,Kildare,and Wicklow,Nurses preparedness for end of life conversations(No.P210537)。
文摘Objective:Nurse-led virtual outpatient clinics are now a familiar component of healthcare delivery across many disciplines,including cancer care,or thopedics,rheumatology,and gastroenterology.However,establishing a nurse-led vir tual clinic is challenging for nursing management,par ticularly regarding resources.We aimed to investigate nursing practices and processes and patient experiences in relation to vir tual outpatient clinics.Methods:This was a cross-sectional,descriptive study using mixed data collection methods.Patients(n=324)from 4 specialist clinics completed the Virtual Clinics Patient Satisfaction Questionnaire(VCSQ)survey.Five Nurse Specialists participated in a focus group interview.Results:Most participants(86.3%)reported being satisfied/very satisfied with the virtual clinics,particularly those that were nurse-led.Nurse specialists identified electronic health records(EHRs)and additional IT and administrative support as important for efficiency and effectiveness of the clinics.Conclusions:Nurse-led virtual clinics can be an effective and efficient way to provide care to patients.Nurse managers need to ensure supportive structures are in place,for example,dedicated administrators,IT support and infrastructure,education/training,and relevant policies/procedures.The success of nurse-led virtual services requires key infrastructure to support nursing staff and sustain this service.
文摘Objective The study of medicine formulas is a core component of traditional Chinese medicine(TCM),yet traditional learning methods often lack interactivity and contextual understanding,making it challenging for beginners to grasp the intricate composition rules of formulas.To address this gap,we introduce Formula-S,a situated visualization method for TCM formula learning in augmented reality(AR)and evaluate its performance.This study aims to evaluate the effectiveness of Formula-S in enhancing TCM formula learning for beginners by comparing it with traditional text-based formula learning and web-based visualization.Methods Formula-S is an interactive AR tool designed for TCM formula learning,featuring three modes(3D,Web,and Table).The dataset included TCM formulas and herb properties extracted from authoritative references,including textbook and the SymMap database.In Formula-S,the hierarchical visualization of the formulas as herbal medicine compositions,is linked to the multidimensional herb attribute visualization and embedded in the real world,where real herb samples are presented.To evaluate its effectiveness,a controlled study(n=30)was conducted.Participants who had no formal TCM knowledge were tasked with herbal medicine identification,formula composition,and recognition.In the study,participants interacted with the AR tool through HoloLens 2.Data were collected on both task performance(accuracy and response time)and user experience,with a focus on task efficiency,accuracy,and user preference across the different learning modes.Results The situated visualization method of Formula-S had comparable accuracy to other methods but shorter response time for herbal formula learning tasks.Regarding user experience,our new approach demonstrated the highest system usability and lowest task load,effectively reducing cognitive load and allowing users to complete tasks with greater ease and efficiency.Participants reported that Formula-S enhanced their learning experience through its intuitive interface and immersive AR environment,suggesting this approach offers usability advantages for TCM education.Conclusions The situated visualization method in Formula-S offers more efficient and accurate searching capabilities compared to traditional and web-based methods.Additionally,it provides superior contextual understanding of TCM formulas,making it a promising new solution for TCM learning.
文摘The rapid advancement of information technology has promoted the development of informatization in universities. The freshmen welcome information system of universities is the first important system to showcase the digital level of the university to new students. With the expansion of the enrollment scale of universities, improving the efficiency of welcoming work has become an urgent problem to be solved. This article analyzes the characteristics and existing problems of the welcoming work, combined with the main technical methods of information system construction, and based on the comprehensive situation of information systems in our university, proposes the construction goals and ideas of the welcoming information system, summarizes the construction process and operation results of the welcome system, and explores possible directions for future optimization.
基金Under the auspices of National Natural Science Foundation of China(No.42330510,42471245,52478061,52478060)。
文摘The smart city is not only a crucial means of promoting sustainable development,but also a strategic approach to advancing scientific urban development and governance on a global scale.Based on a textual co-occurrence analysis of policy documents,this study examines the components,development pathways,and models of smart cities in China.It identifies three distinct phases in the development process:the information project-driven phase,the holistic development phase,and the collaborative development phase.Overall,the development of smart cities in China-characterized by a strong focus on information technology projects-was primarily initiated by both central and local governments.Reflecting on the informatization process and the trajectory of smart city development in China since the mid-1990s,this paper argues that smart city initiatives must evolve beyond a purely technology-driven framework toward a more human-centered approach.Against the backdrop of ongoing urbanization and urban transformation in China,this study proposes future development strategies that integrate top-down government planning with bottom-up public engagement.It advocates for a comprehensive framework that integrates technology,human needs,and spatial planning,emphasizing the spatiotemporal coordination between technological implementation and stakeholder demands.This research offers valuable insights and strategic guidance for the future development of smart cities worldwide.
文摘As a result of breakthroughs in computational approaches mixed with a boom in multi-omics data,the development of numerous digital medicines and bioinformatics tools have aided in speeding up the healthcare industry process.The traditional healthcare development method has been further rationalized with the introduction of artificial intelligence(AI),deep learning(DL),and machine learning(ML).Wide-ranging biological and clinical data in the form of big data,which is stored in various databases worldwide,serve as the raw material for AI-based methods and aid in the precise identification of patterns and models.These patterns and models can be used to identify novel therapeutically active molecules with significantly less time,financial investment,and workforce.This review article provides insights into understanding the principles of AI technologies such as next-generation sequencing(NGS),natural language processing(NLP),radiological images,patients-electronic medical records(EMR),and drug discovery as well as how they should be used in ethical,economic,and social ramifications of AI.This review also highlights various applications of AI in the healthcare industry,along with the analyses of different AI technologies.Additionally,it will offer helpful suggestions to assist decision-makers in creating an AI plan that would support their shift to a digital healthcare system.
基金funded by the Major Program of the National Fund of Philosophy and Social Science of China(Grant No.:21&ZD163).
文摘Volunteer engagement in emergency management,focusing on mitigating adverse consequences,has attracted scholarly and practitioner attention.Digital volunteering helps overcome the limitations of traditional on-site volunteering through extensive volunteering opportunities in emergency management.This study utilizes a case text analysis and interviews to investigate and categorize digital volunteer services in emergency scenarios.Based on two key dimensions—direct recipients of volunteer services and the nature of the services rendered—the study presents four types of digital volunteer services:bridging,supportive,complementary,and collaborative.Moreover,it delineates eight role archetypes digital volunteers assume in emergency response situations along with their primary service contributions.Compared to conventional on-site volunteer services,digital volunteer services offer unique advantages while facing specific challenges.Finally,this study offers recommendations in four dimensions for the robust development of digital volunteer services,contributing to more effective and sustainable emergency management practices.
基金supported by the National Natural Science Foundation of China(No.22473006)the Central Government Guiding Local Science and Technology Development Fund(No.2025ZY01029).
文摘Polymer informatics faces challenges owing to data scarcity arising from complex chemistries,experimental limitations,and process-ing-dependent properties.This review presents the recent advances in data-efficient machine learning for polymers.First,data preparation tech-niques such as data augmentation and rational representation help expand the dataset size and develop useful features for learning.Second,modeling approaches,including classical algorithms and physics-informed methods,enhance the model robustness and reliability under limited data conditions.Third,learning strategies,such as transferlearning and active learning,aim to improve generalization and guide efficient data ac-quisition.This review concludes by outlining future opportunities in machine learning for small-data scenarios in polymers.This review is expect-ed to serve as a useful tool for newcomers and offer deeper insights for experienced researchers in the field.
文摘As a key national project,a newly built plateau railway features a large proportion of tunnels and high construction difficulty.To reduce the voids in the secondary lining of tunnels and address issues such as ineffective vibration of the vault,vault voiding,and the inability to monitor the casting status during tunnel lining construction with ordinary lining trolleys,a new smart lining trolley with large clearance that integrates functions such as vibration,automatic casting,and pressure monitoring has been developed.This was achieved by combining the functional design of the new smart lining trolley,comparing traditional construction techniques,and introducing information-based and intelligent design concepts.Through simulation calculations using finite element software modeling,it is verified that the structural stiffness,strength,and other performance parameters of the smart lining trolley meet the technical design requirements.
基金supported by the Innovation Program of Shanghai Municipal Education Commission(No.2023ZKZD36).
文摘We are now in the era of big data for biodiversity science.More and larger datasets on species geographic distributions,community composition,and functional traits are now becoming more increasingly than ever before.Correctly applying taxon names is a prerequisite for robust biodiversity studies of all taxonomic groups.
文摘Targeted cancer therapy has emerged as a promising alternative to conventional chemotherapy,which is often plagued by poor selectivity,off-target effects,and drug resistance.Among the various targeting agents in development,peptides stand out for their unique advantages,including minimal immunogenicity,high tissue penetration,and ease of modification.Their small size,specificity,and flexibility allow them to target cancer cells while minimizing damage to healthy tissue selectively.Peptide-based therapies have shown great potential in enhancing the efficacy of drug delivery,improving tumor imaging,and reducing adverse effects.With cancer responsible for millions of deaths worldwide,the development of peptide-based therapeutics offers new hope in addressing the limitations of current treatments.As detailed studies on different aspects of targeting peptides are crucial for optimizing drug development,this review provides a comprehensive overview of the literature on tumor-targeting peptides,including their structure,sources,modes of action,and their application in cancer therapy—both as standalone agents and in fusion drugs.Additionally,various computational tools for peptide-based tumor-targeting drug design and validation are explored.The promising results from these studies highlight peptides as ideal candidates for targeted cancer therapies,offering valuable insights for researchers and accelerating the discovery of novel anti-tumor peptide base drug candidates.
文摘In the health field,longitudinal studies involve the recording of clinical observations of the same sample of pa-tients over successive periods,referred to as waves.This type of database serves as a valuable source of infor-mation and insights,particularly when examining the temporal aspect,allowing the extraction of relevant and non-obvious knowledge.The triadic concept analysis theory has been proposed to describe the ternary re-lationships between objects,attributes,and conditions.In this study,we present a methodology for exploring longitudinal health databases using both the triadic theory and triadic rules,which are similar to association rules but incorporate temporal relations.Through four case studies,we demonstrate the potential of applying triadic analysis to longitudinal databases to identify risk patterns,enhance decision-making processes,and deepen our understanding of temporal dynamics.These findings suggest a promising approach for describing longitudinal databases and obtaining insights to improve clinical decision-support systems for disease treatment.
基金Sponsored by Science and Technology Project of Qiandongnan Prefecture“The Integration Effect of Green‘Culture-Tourism’Industry in Qiandongnan Prefecture and Its Enhancement Mechanism”(202305)Science and Technology Project of Qiandongnan Prefecture“Construction and Empirical Study of an Integration Model for Tourism and Culture Industry in Qiandongnan from the Perspective of Quality Development”(2022084).
文摘In the information age,the movement of livelihood factors between urban and rural areas,particularly involving farmers in rural tourism destinations,has stimulated the spatial revitalization and functional renewal of these destinations,thereby facilitating the advancement of rural revitalization.The examination of livelihood strategy selection among farmers in rural tourist destinations during the information age is a critical scientific inquiry for the sustainable development of rural tourism.This research holds substantial significance for enhancing the livelihood capabilities of farmers and contributing to the revitalization of rural industries.This study utilizes Xijiang Miao Village as a case study to conduct an in-depth analysis of farmers’livelihood strategy selection through the application of the entropy evaluation method and the binary logistic regression model.The findings indicate that the robust development of rural tourism has led to significant alterations in the original composition of livelihood capital in tourist destinations.Currently,four distinct types of livelihoods have been identified:agricultural-based,migrantwork-oriented,tourism-specialized,and tourism-supplemented.Due to the uneven distribution of livelihood capital,the predominant livelihood modes for farmers in rural tourism destinations remain the agricultural-based and tourism-supplemented types.Human capital and economic capital are the primary factors influencing the strategic choices made by farmers.In this context,a livelihood selection strategy for farmers in rural tourist destinations,specifically in Xijiang Miao Village,is proposed,taking into account the background of rural informatization.
基金Noncommunicable Chronic Diseases-National Science and Technology Major Project(2023ZD0503906)。
文摘Background Medical informatics accumulated vast amounts of data for clinical diagnosis and treatment.However,limited access to follow-up data and the difficulty in integrating data across diverse platforms continue to pose significant barriers to clinical research progress.In response,our research team has embarked on the development of a specialized clinical research database for cardiology,thereby establishing a comprehensive digital platform that facilitates both clinical decision-making and research endeavors.Methods The database incorporated actual clinical data from patients who received treatment at the Cardiovascular Medicine Department of Chinese PLA General Hospital from 2012 to 2021.It included comprehensive data on patients'basic information,medical history,non-invasive imaging studies,laboratory test results,as well as peri-procedural information related to interventional surgeries,extracted from the Hospital Information System.Additionally,an innovative artificial intelligence(AI)-powered interactive follow-up system had been developed,ensuring that nearly all myocardial infarction patients received at least one post-discharge follow-up,thereby achieving comprehensive data management throughout the entire care continuum for highrisk patients.Results This database integrates extensive cross-sectional and longitudinal patient data,with a focus on higher-risk acute coronary syndrome patients.It achieves the integration of structured and unstructured clinical data,while innovatively incorporating AI and automatic speech recognition technologies to enhance data integration and workflow efficiency.It creates a comprehensive patient view,thereby improving diagnostic and follow-up quality,and provides high-quality data to support clinical research.Despite limitations in unstructured data standardization and biological sample integrity,the database's development is accompanied by ongoing optimization efforts.Conclusion The cardiovascular specialty clinical database is a comprehensive digital archive integrating clinical treatment and research,which facilitates the digital and intelligent transformation of clinical diagnosis and treatment processes.It supports clinical decision-making and offers data support and potential research directions for the specialized management of cardiovascular diseases.
基金supported by grants from the National Innovation Platform Development Program(No.2020021105012440)the National Natural Science Foundation of China(No.82172524 and No.81974355)the Hubei Provincial Key R&D Project of Artificial Intelligence(No.2021BEA161).
文摘Spleen-Stomach disorders are prevalent clinical conditions in Traditional Chinese Medicine(TCM).The complex diagnostic and treatment model used in TCM is based on a“symptom-pattern-disease-formula”framework that heavily relies on practitioners’experience.However,this model faces several challenges,including ambiguous knowledge representation,unstructured data,and difficulties with knowledge sharing.Recent advancements in artificial intelligence,natural language processing,and medical knowledge engineering have significantly improved research on knowledge graphs(KGs)and intelligent diagnosis and treatment systems for these disorders,making these technologies crucial for modernizing TCM.This article systematically reviews two core research pathways related to Spleen-Stomach disorders.The first pathway focuses on constructing knowledge graphs for“structured knowledge representation”.This includes ontology modeling,entity recognition,relation extraction,graph fusion,semantic reasoning,visualization services,and an ensemble model to predict treatment efficacy.The second pathway involves the development of intelligent diagnosis and treatment systems,with a focus on“clinical applications”.This pathway includes key technologies such as quantitative modeling of TCM,the four diagnostic methods(inspection,auscultation-olfaction,interrogation,and palpation),semantic analysis of classical texts,pattern differentiation algorithms,and multimodal consultation recommenders.Through the synthesis and analysis of current research,several ongoing challenges have been identified.These include inconsistent models and annotation of TCM clinical knowledge,limited semantic reasoning capabilities,insufficient integration between KGs and intelligent diagnostic models,and limited clinical adaptability of existing intelligent diagnostic systems.To address these challenges,this review suggests future research directions that include enhancing heterogeneous multisource knowledge integration techniques,deepening semantic reasoning through collaborative reasoning frameworks that incorporate large language models,and developing effective cross-disease transfer learning strategies.These directions aim to improve interpretability,reasoning accuracy,and clinical applicability of intelligent diagnosis and treatment systems for Spleen-Stomach disorders in TCM.
文摘This study examines the current state of informatization education among county high school students.While students demonstrate a strong demand for informatization education,they face significant challenges,including inadequate hardware,limited access to online learning resources,and insufficient teacher proficiency in informatization education.Through a questionnaire survey,the research reveals an urgent need for expanded information technology courses and specialized training programs.In response,this paper proposes strategies such as increasing investment in IT education,optimizing teaching methodologies,and providing additional learning opportunities to enhance student engagement and comprehensively improve the quality of IT education and learning outcomes in county high schools.
基金2023 Guangdong Provincial Educational Science Planning Project(Higher Education Special Program)“Research on the Talent Cultivation Path of Vocational Undergraduate Programs in Finance,Economics and Trade Based on Digital Transformation”(2023GXJK653)。
文摘With the development of the current era,China’s Internet and computer technologies are constantly updated and improved.Under the application of information technology,great changes have taken place in the financial management work of schools.At present,the content of school financial management work is constantly increasing.In order to meet the needs of school management,it is necessary to improve the level of financial management,strengthen the informatization construction of financial management,so as to realize the modernization of school financial management and improve the efficiency of financial management.Big data technology and information technology can realize the rapid collection and preprocessing of information,achieve in-depth mining of data value,assist staff in quickly identifying problems in their work,and further improve work efficiency.Based on this,this paper conducts in-depth analysis and research on the informatization construction of financial management in colleges and universities on the basis of big data,for reference.
基金Supported by the Key Project of Science Research Foundation of Yunnan Provincial Department of Education(2013Z084)the General Project of Science Research Foundation of Yunnan Provincial Department of Education(2011C137)the Construction Project of Kunming Research Center of Kunming Forestry Information Engineering Technology(215301)
文摘Using innovative information means to form the digital management sys- tem of rural residential land is the key point to solve the difficult and hot issues in rural residential land management. In view of the diversity, large quantity, and preservation with paper of rural residential land data, a new method for automatic cutting and classification of digital images based on the image data source and us- ing the image processing algorithm and Python programming was proposed in order to achieve rapid and accurate collection and digital storage of rural residential land cadastral data. Using this method, digital image automatic cutting and classification were realized, and the efficiency and accuracy of this method was validated by comparing with the non-support free shooting method and manual image process- ing. The experimental results showed that the efficiency of the data acquisition of the fixed shooting method was 4.24 times of that of the non-support free shooting method with the accuracy rate increasing by 7.1%, and the efficiency of automatic image processing was 35 times of that of manual processing. Based on rapid and accuracy data acquisition, this method realized the automatic processing of digital images, which provided a reference for the research of informatization technology of the whole rural residential land data and has the value of popularization and appli- cation.
