The excessive use of artificial intelligence(AI)algorithms has caused the problem of errors in AI algorithms,which has challenged the fairness of decision-making,and has intensified people’s inequality.Therefore,it i...The excessive use of artificial intelligence(AI)algorithms has caused the problem of errors in AI algorithms,which has challenged the fairness of decision-making,and has intensified people’s inequality.Therefore,it is necessary to conduct in-depth research and propose corresponding error detection and error elimination methods.This paper first proposes the root causes and threats of bias in AI algorithms,then summarizes the existing bias detection and error elimination methods,and proposes a bias processing framework in three-level dimensions of data,models,and conclusions,aiming to provide a framework for a comprehensive solution to errors in algorithms.At the same time,it also summarizes the problems and challenges in existing research and makes a prospect for future research trends.It is hoped that it will be helpful for us to build fairer AI.展开更多
As natural ecosystems provide the material basis and fundamental support for regional sustainable devel-opment,the sustainability of natural ecosystems is an important prerequisite and a viable approach for the achiev...As natural ecosystems provide the material basis and fundamental support for regional sustainable devel-opment,the sustainability of natural ecosystems is an important prerequisite and a viable approach for the achievement of regional sustainable development.It is also the final criteria to assess whether sustainable development paradigm is successful.Along with the increasing impacts of human activities on natural ecosystems,the evaluation of regional ecological sustainability has become one of the key issues for research on macro ecology and sustainable development.Based on different unit of indicators,this study firstly groups the evaluation frameworks of regional ecological sus-tainability into three major types:comprehensive index evaluation with dimensionless unit,monetary valuation,and biophysical quantity measurement.We then discuss and compare these types in terms of basic principles,scope of ap-plications,advantages and shortcomings.Finally,drawn on the discussion about characteristics of ecological sustain-ability,we outline the current trend and future directions of regional ecological sustainability evaluation,for instance,transition from sustainable development evaluation to sustainability science,integration of goal-oriented and problem-solving approaches,combination of spatial pattern analysis and ecological sustainability evaluation,and en-hancement of ecological sustainability evaluation at landscape scale.展开更多
The integration of Artificial Intelligence(AI)into healthcare research promises unprecedented advancements in medical diagnostics,treatment personalization,and patient care management.However,these innovations also br...The integration of Artificial Intelligence(AI)into healthcare research promises unprecedented advancements in medical diagnostics,treatment personalization,and patient care management.However,these innovations also bring forth significant ethical challenges that must be addressed to maintain public trust,ensure patient safety,and uphold data integrity.This article sets out to introduce a detailed framework designed to steer governance and offer a systematic method for assuring that AI applications in healthcare research are developed and executed with integrity and adherence to medical research ethics.展开更多
Supervisor selection is important for research students in their future studies and careers.Currently,students rely on information search or friends recommendation to find potential research supervisors.However,due to...Supervisor selection is important for research students in their future studies and careers.Currently,students rely on information search or friends recommendation to find potential research supervisors.However,due to the challenges of incomplete and asymmetric information,students can hardly find suitable supervisors that match their research interests as well as personalities.Existing methods mainly consider topic-relevance and candidate-quality,and overlook the significance of connectivity consideration and two-sided matching degree of individuals personality styles.It proposes a novel supervisor recommendation approach that integrates relevance,connectivity,quality and personality-matching dimensions.The results of user-based evaluations demonstrate that the proposed approach generates more satisfactory recommendations as compared to that of all baseline methods.The present solution has been implemented as a social network recommendation service on ScholarMate.展开更多
The Sun et al's training program for clinical research nurses(CRNs)in the World Journal of Clinical Cases is a comprehensive and scientific approach.It includes structured frameworks for CRN training,aiming to imp...The Sun et al's training program for clinical research nurses(CRNs)in the World Journal of Clinical Cases is a comprehensive and scientific approach.It includes structured frameworks for CRN training,aiming to improve CRN competency.This program emphasizes practical abilities,updates training content,and improves evaluation methods.The cultivation of CRN talents focuses on enhancing the training system,establishing a multifaceted evaluation framework,and continuously refining the training programs.Regular feedback and evalua-tion are essential to improve CRNs'competency in practical settings.展开更多
In this paper, the author presents an overview of the development of CALL and understanding of CALL research in recent years; and then, indicates the trend of CALL research-AR and the research on AR-could be interpret...In this paper, the author presents an overview of the development of CALL and understanding of CALL research in recent years; and then, indicates the trend of CALL research-AR and the research on AR-could be interpreted as the research framework of CALL in China by introducing the four elements of AR-involvement, improvement, systematization and publicity.展开更多
Compared with the services in 3G,services in Beyond 3G(B3G)have some distinctive characteristics such as the packet data services being the majority,more service types,larger scale of services,higher peak transmission...Compared with the services in 3G,services in Beyond 3G(B3G)have some distinctive characteristics such as the packet data services being the majority,more service types,larger scale of services,higher peak transmission rate,enlarged range of transmission rates,more spatial and temporal distribution differences,and more service transmission requests occurring in fast moving vehicles.In order to meet the requirements of B3G services,the B3G systems must have great improvement in network architecture,air interface scheme,radio resource allocation strategy,frequency bands,and Radio Frequency(RF)technology etc.Therefore,the research of the B3G systems should focus on the theory of generalized cellular communications networks,theory of the Multiple Input Multiple Output(MIMO)wireless transmission system,matching of radio resources to new-type air interfaces,new iterative detection and adaptive link methods,and new-type antenna and RF technologies.展开更多
The People＇s Republic of China （PRC） is a country that has great potential to international businesses. Her enormous market, resources, and labor power are important to other countries in this age of global economy...The People＇s Republic of China （PRC） is a country that has great potential to international businesses. Her enormous market, resources, and labor power are important to other countries in this age of global economy. Research studies on the PRC are valuable not only to policymakers in the PRC but also to a larger audience in the global business community. Accounting standards and practices are central to the economic order of any society. As accounting systems are not isolated from social and cultural systems, towards an understanding of social/cultural environments interacting with accounting systems in the PRC in turn facilitates the international investors to interpret financial information and to set strategies in doing businesses in the country. It is expected that the research results of this kind of projects will have implications to different aspects of financial disclosure of companies in the PRC. Being grounded in the current accounting literature, the proposed conceptual framework in this paper is to discern the interconnections between accounting systems and cul^ral factors in the PRC. It aims at contributing to the accounting body of knowledge and to provide practical insights for global managers.展开更多
Education is the combination of basketball education and basketball activity. It is a kind of activity that basketball is as the core form, it is in order to enhance the skills of participants, technology, physical fi...Education is the combination of basketball education and basketball activity. It is a kind of activity that basketball is as the core form, it is in order to enhance the skills of participants, technology, physical fitness, and promote a comprehensive development of their physical and mental activity, meanwhile basketball is not only a comprehensive gaming activity, but also an integral part of modern competitive sports, in some way, basketball culture is belonging to a particular social and cultural patterns. The quality of the basketball culture can cultivate people＇ s sentiments in the teaching process, and develop human wisdom, so that people grasp different spatial abilities and skills with the laws and govern the movement of the body under the time, the paper analyzes Practice mode theoretical framework of the construction of the basketball sports college education curriculum system.展开更多
Blockchain technology has a unique ability to automate accounting processes that are a part of regulatory requirements in all commercial enterprises.Moreover,it can hold verified accounting records and eliminate the n...Blockchain technology has a unique ability to automate accounting processes that are a part of regulatory requirements in all commercial enterprises.Moreover,it can hold verified accounting records and eliminate the need for a trusted third party.Despite blockchain’s potential to transform the nature of traditional accountancy procedures,adoption by the accounting industry is somewhat limited.Knowledge in this domain is lacking,and research on the antecedents influencing the adoption of blockchainbased accounting systems is scarce.This study is rooted in the technology-organization-environment(TOE)framework,presenting a trust-centric adoption model based on diligent analysis of blockchain and technology adoption literature.The model proposes that TOE factors mediate trust’s role in adopting blockchain for accounting applications.The model was validated based on qualitative semi-structured interviews of twelve industry leaders and was comprehensively tested using a quantitative surveybased methodology with accounting professionals knowledgeable about blockchain technology.The data collected was analyzed using PLS-SEM.The results demonstrate the role of trust and the mediating effect of the theorized TOE variables on adopting blockchain-based accounting solutions.The results’implications for research and practice are discussed.展开更多
On 17 October 2024,the American Geophysical Union(AGU)in Washington,DC,USA,released the Ethical Framework Principles for Climate Intervention Research[1],a set of guidelines designed to help scientists,funders,policym...On 17 October 2024,the American Geophysical Union(AGU)in Washington,DC,USA,released the Ethical Framework Principles for Climate Intervention Research[1],a set of guidelines designed to help scientists,funders,policymakers,and private entities research and govern geoengineering technologies as ethically as possible.Commissioned in 2022 by the AGU Board of Directors and produced with internal funding only,the document advocates that geoengineering research projects fully consider all possible risks and benefits-environmental,sociocultural,and geopolitical-and include input from any groups such projects might impact.展开更多
Google Gemini 1.5 Flash scores were compared with ChatGPT 4o-mini on evaluations of(a)51 of the author’s journal articles and(b)up to 200 articles in each of 34 field-based Units of Assessment(UoAs)from the UK Resear...Google Gemini 1.5 Flash scores were compared with ChatGPT 4o-mini on evaluations of(a)51 of the author’s journal articles and(b)up to 200 articles in each of 34 field-based Units of Assessment(UoAs)from the UK Research Excellence Framework(REF)2021.From(a),the results suggest that Gemini 1.5 Flash,unlike ChatGPT 4o-mini,may work better when fed with a PDF or article full text,rather than just the title and abstract.From(b),Gemini 1.5 Flash seems to be marginally less able to predict an article’s research quality(using a departmental quality proxy indicator)than ChatGPT 4o-mini,although the differences are small,and both have similar disciplinary variations in this ability.Averaging multiple runs of Gemini 1.5 Flash improves the scores.展开更多
Objective:To explore the obstructive factors in the behavior of medical staff during the implementation of respiratory rehabilitation process,and to provide a basis for the rehabilitation management intervention of CO...Objective:To explore the obstructive factors in the behavior of medical staff during the implementation of respiratory rehabilitation process,and to provide a basis for the rehabilitation management intervention of COPD.Methods:A descriptive nature research method was adopted.An interview outline was formulated based on the theoretical domain framework.From October to December 2024,15 medical staff from the respiratory department of a tertiary hospital in Shaanxi Province were selected for semi-structured interviews.The interview data were analyzed using the Colaizzi 7-step analysis method.Result:The analysis of this study found that the obstructive factors for medical staff to implement respiratory rehabilitation include five theoretical domains.The problems are respectively the lack of knowledge about respiratory rehabilitation and insufficient training intensity,the insufficient self-recognition of implementing respiratory rehabilitation,the low awareness rate of patients and the low cooperation degree,the insufficient provision of instruments and facilities,the lack of rehabilitation training venues and respiratory rehabilitation clinics,and the lack of scientific and standardized respiratory rehabilitation management processes.Conclusion:There are many obstructive factors affecting the implementation of respiratory rehabilitation by medical staff.Clinical managers should take corresponding measures,continuously improve the rehabilitation management strategies for COPD,and promote the clinical application of the best evidence for respiratory rehabilitation.展开更多
目的分析慢性阻塞性肺疾病(COPD)患者远程康复实施的障碍和促进因素,为制订干预策略提供参考。方法计算机检索中国知网、万方数据知识服务平台、维普网、中国生物医学文献、PubMed、CINAHL、Embase、Cochrane Library和Web of Science...目的分析慢性阻塞性肺疾病(COPD)患者远程康复实施的障碍和促进因素,为制订干预策略提供参考。方法计算机检索中国知网、万方数据知识服务平台、维普网、中国生物医学文献、PubMed、CINAHL、Embase、Cochrane Library和Web of Science核心合集数据库,筛选与实施COPD患者远程康复相关的文献,检索时限为建库至2025年4月。由两名研究者独立进行文献质量评价,并采用更新版实施性研究综合框架对障碍和促进因素进行归类和整理。结果共纳入15篇文献,涉及359例COPD患者、141名医务人员、6名利益相关者和4名患者伴侣,提炼出26条障碍和27条促进因素,归纳为创新、外部因素、内部因素、个体特征和实施过程5个类别,其中个体层面影响因素最多。结论COPD患者远程康复实施受多层面因素影响,临床应识别关键因素并制订针对性策略以提升实施效果。展开更多
We proposes an AI-assisted framework for integrated natural disaster prevention and emergency response,leveraging the DeepSeek large language model(LLM)to advance intelligent decision-making in geohazard management.We...We proposes an AI-assisted framework for integrated natural disaster prevention and emergency response,leveraging the DeepSeek large language model(LLM)to advance intelligent decision-making in geohazard management.We systematically analyze the technical pathways for deploying LLMs in disaster scenarios,emphasizing three breakthrough directions:(1)knowledge graph-driven dynamic risk modeling,(2)reinforcement learning-optimized emergency decision systems,and(3)secure local deployment architectures.The DeepSeek model demonstrates unique advantages through its hybrid reasoning mechanism combining semantic analysis with geospatial pattern recognition,enabling cost-effective processing of multi-source data spanning historical disaster records,real-time IoT sensor feeds,and socio-environmental parameters.A modular system architecture is designed to achieve three critical objectives:(a)automated construction of domain-specific knowledge graphs through unsupervised learning of disaster physics relationships,(b)scenario-adaptive resource allocation using risk simulations,and(c)preserving emergency coordination via federated learning across distributed response nodes.The proposed local deployment paradigm addresses critical data security concerns in cross-border disaster management while complying with the FAIR principles(Findable,Accessible,Interoperable,Reusable)for geoscientific data governance.This work establishes a methodological foundation for next-generation AI-earth science convergence in disaster mitigation.展开更多
文摘The excessive use of artificial intelligence(AI)algorithms has caused the problem of errors in AI algorithms,which has challenged the fairness of decision-making,and has intensified people’s inequality.Therefore,it is necessary to conduct in-depth research and propose corresponding error detection and error elimination methods.This paper first proposes the root causes and threats of bias in AI algorithms,then summarizes the existing bias detection and error elimination methods,and proposes a bias processing framework in three-level dimensions of data,models,and conclusions,aiming to provide a framework for a comprehensive solution to errors in algorithms.At the same time,it also summarizes the problems and challenges in existing research and makes a prospect for future research trends.It is hoped that it will be helpful for us to build fairer AI.
基金Under the auspices of National Natural Science Foundation of China (No.40635028,40801066)State Key Laboratory of Earth Surface Processes and Resource Ecology of China (No.2008-KF-04)
文摘As natural ecosystems provide the material basis and fundamental support for regional sustainable devel-opment,the sustainability of natural ecosystems is an important prerequisite and a viable approach for the achievement of regional sustainable development.It is also the final criteria to assess whether sustainable development paradigm is successful.Along with the increasing impacts of human activities on natural ecosystems,the evaluation of regional ecological sustainability has become one of the key issues for research on macro ecology and sustainable development.Based on different unit of indicators,this study firstly groups the evaluation frameworks of regional ecological sus-tainability into three major types:comprehensive index evaluation with dimensionless unit,monetary valuation,and biophysical quantity measurement.We then discuss and compare these types in terms of basic principles,scope of ap-plications,advantages and shortcomings.Finally,drawn on the discussion about characteristics of ecological sustain-ability,we outline the current trend and future directions of regional ecological sustainability evaluation,for instance,transition from sustainable development evaluation to sustainability science,integration of goal-oriented and problem-solving approaches,combination of spatial pattern analysis and ecological sustainability evaluation,and en-hancement of ecological sustainability evaluation at landscape scale.
文摘The integration of Artificial Intelligence(AI)into healthcare research promises unprecedented advancements in medical diagnostics,treatment personalization,and patient care management.However,these innovations also bring forth significant ethical challenges that must be addressed to maintain public trust,ensure patient safety,and uphold data integrity.This article sets out to introduce a detailed framework designed to steer governance and offer a systematic method for assuring that AI applications in healthcare research are developed and executed with integrity and adherence to medical research ethics.
基金Fujian Provincial Education Department Project,China(No.JAS180414)Putian University Project,China(No.2018061)Fujian Provincial Social Science Project,China(No.FJ2017C008)
文摘Supervisor selection is important for research students in their future studies and careers.Currently,students rely on information search or friends recommendation to find potential research supervisors.However,due to the challenges of incomplete and asymmetric information,students can hardly find suitable supervisors that match their research interests as well as personalities.Existing methods mainly consider topic-relevance and candidate-quality,and overlook the significance of connectivity consideration and two-sided matching degree of individuals personality styles.It proposes a novel supervisor recommendation approach that integrates relevance,connectivity,quality and personality-matching dimensions.The results of user-based evaluations demonstrate that the proposed approach generates more satisfactory recommendations as compared to that of all baseline methods.The present solution has been implemented as a social network recommendation service on ScholarMate.
文摘The Sun et al's training program for clinical research nurses(CRNs)in the World Journal of Clinical Cases is a comprehensive and scientific approach.It includes structured frameworks for CRN training,aiming to improve CRN competency.This program emphasizes practical abilities,updates training content,and improves evaluation methods.The cultivation of CRN talents focuses on enhancing the training system,establishing a multifaceted evaluation framework,and continuously refining the training programs.Regular feedback and evalua-tion are essential to improve CRNs'competency in practical settings.
文摘In this paper, the author presents an overview of the development of CALL and understanding of CALL research in recent years; and then, indicates the trend of CALL research-AR and the research on AR-could be interpreted as the research framework of CALL in China by introducing the four elements of AR-involvement, improvement, systematization and publicity.
基金Program of National Nature Science Foundation of China(No.60496311)Project of National"863"Plan ofChina(No.2005AA121052)
文摘Compared with the services in 3G,services in Beyond 3G(B3G)have some distinctive characteristics such as the packet data services being the majority,more service types,larger scale of services,higher peak transmission rate,enlarged range of transmission rates,more spatial and temporal distribution differences,and more service transmission requests occurring in fast moving vehicles.In order to meet the requirements of B3G services,the B3G systems must have great improvement in network architecture,air interface scheme,radio resource allocation strategy,frequency bands,and Radio Frequency(RF)technology etc.Therefore,the research of the B3G systems should focus on the theory of generalized cellular communications networks,theory of the Multiple Input Multiple Output(MIMO)wireless transmission system,matching of radio resources to new-type air interfaces,new iterative detection and adaptive link methods,and new-type antenna and RF technologies.
文摘The People＇s Republic of China （PRC） is a country that has great potential to international businesses. Her enormous market, resources, and labor power are important to other countries in this age of global economy. Research studies on the PRC are valuable not only to policymakers in the PRC but also to a larger audience in the global business community. Accounting standards and practices are central to the economic order of any society. As accounting systems are not isolated from social and cultural systems, towards an understanding of social/cultural environments interacting with accounting systems in the PRC in turn facilitates the international investors to interpret financial information and to set strategies in doing businesses in the country. It is expected that the research results of this kind of projects will have implications to different aspects of financial disclosure of companies in the PRC. Being grounded in the current accounting literature, the proposed conceptual framework in this paper is to discern the interconnections between accounting systems and cul^ral factors in the PRC. It aims at contributing to the accounting body of knowledge and to provide practical insights for global managers.
文摘Education is the combination of basketball education and basketball activity. It is a kind of activity that basketball is as the core form, it is in order to enhance the skills of participants, technology, physical fitness, and promote a comprehensive development of their physical and mental activity, meanwhile basketball is not only a comprehensive gaming activity, but also an integral part of modern competitive sports, in some way, basketball culture is belonging to a particular social and cultural patterns. The quality of the basketball culture can cultivate people＇ s sentiments in the teaching process, and develop human wisdom, so that people grasp different spatial abilities and skills with the laws and govern the movement of the body under the time, the paper analyzes Practice mode theoretical framework of the construction of the basketball sports college education curriculum system.
文摘Blockchain technology has a unique ability to automate accounting processes that are a part of regulatory requirements in all commercial enterprises.Moreover,it can hold verified accounting records and eliminate the need for a trusted third party.Despite blockchain’s potential to transform the nature of traditional accountancy procedures,adoption by the accounting industry is somewhat limited.Knowledge in this domain is lacking,and research on the antecedents influencing the adoption of blockchainbased accounting systems is scarce.This study is rooted in the technology-organization-environment(TOE)framework,presenting a trust-centric adoption model based on diligent analysis of blockchain and technology adoption literature.The model proposes that TOE factors mediate trust’s role in adopting blockchain for accounting applications.The model was validated based on qualitative semi-structured interviews of twelve industry leaders and was comprehensively tested using a quantitative surveybased methodology with accounting professionals knowledgeable about blockchain technology.The data collected was analyzed using PLS-SEM.The results demonstrate the role of trust and the mediating effect of the theorized TOE variables on adopting blockchain-based accounting solutions.The results’implications for research and practice are discussed.
文摘On 17 October 2024,the American Geophysical Union(AGU)in Washington,DC,USA,released the Ethical Framework Principles for Climate Intervention Research[1],a set of guidelines designed to help scientists,funders,policymakers,and private entities research and govern geoengineering technologies as ethically as possible.Commissioned in 2022 by the AGU Board of Directors and produced with internal funding only,the document advocates that geoengineering research projects fully consider all possible risks and benefits-environmental,sociocultural,and geopolitical-and include input from any groups such projects might impact.
文摘Google Gemini 1.5 Flash scores were compared with ChatGPT 4o-mini on evaluations of(a)51 of the author’s journal articles and(b)up to 200 articles in each of 34 field-based Units of Assessment(UoAs)from the UK Research Excellence Framework(REF)2021.From(a),the results suggest that Gemini 1.5 Flash,unlike ChatGPT 4o-mini,may work better when fed with a PDF or article full text,rather than just the title and abstract.From(b),Gemini 1.5 Flash seems to be marginally less able to predict an article’s research quality(using a departmental quality proxy indicator)than ChatGPT 4o-mini,although the differences are small,and both have similar disciplinary variations in this ability.Averaging multiple runs of Gemini 1.5 Flash improves the scores.
基金Shaanxi Provincial People’s Hospital Science and Technology Development Incubation Fund Program 2023(Project No.:2023HL-12)。
文摘Objective:To explore the obstructive factors in the behavior of medical staff during the implementation of respiratory rehabilitation process,and to provide a basis for the rehabilitation management intervention of COPD.Methods:A descriptive nature research method was adopted.An interview outline was formulated based on the theoretical domain framework.From October to December 2024,15 medical staff from the respiratory department of a tertiary hospital in Shaanxi Province were selected for semi-structured interviews.The interview data were analyzed using the Colaizzi 7-step analysis method.Result:The analysis of this study found that the obstructive factors for medical staff to implement respiratory rehabilitation include five theoretical domains.The problems are respectively the lack of knowledge about respiratory rehabilitation and insufficient training intensity,the insufficient self-recognition of implementing respiratory rehabilitation,the low awareness rate of patients and the low cooperation degree,the insufficient provision of instruments and facilities,the lack of rehabilitation training venues and respiratory rehabilitation clinics,and the lack of scientific and standardized respiratory rehabilitation management processes.Conclusion:There are many obstructive factors affecting the implementation of respiratory rehabilitation by medical staff.Clinical managers should take corresponding measures,continuously improve the rehabilitation management strategies for COPD,and promote the clinical application of the best evidence for respiratory rehabilitation.
文摘目的分析慢性阻塞性肺疾病(COPD)患者远程康复实施的障碍和促进因素,为制订干预策略提供参考。方法计算机检索中国知网、万方数据知识服务平台、维普网、中国生物医学文献、PubMed、CINAHL、Embase、Cochrane Library和Web of Science核心合集数据库,筛选与实施COPD患者远程康复相关的文献,检索时限为建库至2025年4月。由两名研究者独立进行文献质量评价,并采用更新版实施性研究综合框架对障碍和促进因素进行归类和整理。结果共纳入15篇文献,涉及359例COPD患者、141名医务人员、6名利益相关者和4名患者伴侣,提炼出26条障碍和27条促进因素,归纳为创新、外部因素、内部因素、个体特征和实施过程5个类别,其中个体层面影响因素最多。结论COPD患者远程康复实施受多层面因素影响,临床应识别关键因素并制订针对性策略以提升实施效果。
基金funded by the Chongqing Water Resources Bureau,China(Project No.CQS24C00836).
文摘We proposes an AI-assisted framework for integrated natural disaster prevention and emergency response,leveraging the DeepSeek large language model(LLM)to advance intelligent decision-making in geohazard management.We systematically analyze the technical pathways for deploying LLMs in disaster scenarios,emphasizing three breakthrough directions:(1)knowledge graph-driven dynamic risk modeling,(2)reinforcement learning-optimized emergency decision systems,and(3)secure local deployment architectures.The DeepSeek model demonstrates unique advantages through its hybrid reasoning mechanism combining semantic analysis with geospatial pattern recognition,enabling cost-effective processing of multi-source data spanning historical disaster records,real-time IoT sensor feeds,and socio-environmental parameters.A modular system architecture is designed to achieve three critical objectives:(a)automated construction of domain-specific knowledge graphs through unsupervised learning of disaster physics relationships,(b)scenario-adaptive resource allocation using risk simulations,and(c)preserving emergency coordination via federated learning across distributed response nodes.The proposed local deployment paradigm addresses critical data security concerns in cross-border disaster management while complying with the FAIR principles(Findable,Accessible,Interoperable,Reusable)for geoscientific data governance.This work establishes a methodological foundation for next-generation AI-earth science convergence in disaster mitigation.
