The coastal zone represents a critical intersection of naturally ecological and socio-economic processes.The abundance of data,models,and knowledge derived from various sources in coastal zones facilitates us to integ...The coastal zone represents a critical intersection of naturally ecological and socio-economic processes.The abundance of data,models,and knowledge derived from various sources in coastal zones facilitates us to integrate them to better understand the evolution of coastal environments.This paper proposes a comprehensive framework of Coastal Zone Information Model(CZIM)to integrate multi-domain coastal information.The core idea of CZIM is to integrate multi-discipline coastal data,models,and knowledge for standardized governance,so as to carry,express,and apply coastal information by the digital system approaching the coastal digital twin.The CZIM framework includes four aspects:coastal data governance,model integration,knowledge engineering,and system construction.We perform a detailed literature review to illustrate the demands and challenges related to those four.The components of each aspect and their interlinks are introduced subsequently,and the future challenges of constructing coastal digital twins relying on CZIM are discussed.CZIM aims to strengthen the ability to organize,manage and apply refined coastal information to support more efficient,scientific,and intelligent decision-making in response to gradually volatile forces from both human activities and natural events,now and in the future.This paper provides a valuable reference for the next generation of coastal digitization in the target of the coastal digital twin.展开更多
Marine information has been increasing quickly. The traditional database technologies have disadvantages in manipulating large amounts of marine information which relates to the position in 3-D with the time. Recently...Marine information has been increasing quickly. The traditional database technologies have disadvantages in manipulating large amounts of marine information which relates to the position in 3-D with the time. Recently, greater emphasis has been placed on GIS （geographical information system）to deal with the marine information. The GIS has shown great success for terrestrial applications in the last decades, but its use in marine fields has been far more restricted. One of the main reasons is that most of the GIS systems or their data models are designed for land applications. They cannot do well with the nature of the marine environment and for the marine information. And this becomes a fundamental challenge to the traditional GIS and its data structure. This work designed a data model, the raster-based spatio-temporal hierarchical data model （RSHDM）, for the marine information system, or for the knowledge discovery fi＇om spatio-temporal data, which bases itself on the nature of the marine data and overcomes the shortages of the current spatio-temporal models when they are used in the field. As an experiment, the marine fishery data warehouse （FDW） for marine fishery management was set up, which was based on the RSHDM. The experiment proved that the RSHDM can do well with the data and can extract easily the aggregations that the management needs at different levels.展开更多
针对信息安全课程知识推荐存在的多源行为融合不足、偏好适配针对性弱等问题,提出基于双向长短期记忆-多头注意力-学生多源行为数据融合(bidirectional long short-term memory-multi-head attention-fusion of student multi-source be...针对信息安全课程知识推荐存在的多源行为融合不足、偏好适配针对性弱等问题,提出基于双向长短期记忆-多头注意力-学生多源行为数据融合(bidirectional long short-term memory-multi-head attention-fusion of student multi-source behavior data,BiLSTM-MA-FSBD)的知识推荐方法。首先,整合学生多源行为数据,提取核心行为特征,构建涵盖动态时序与静态关联的融合特征体系;然后,设计BiLSTM网络对行为序列依赖关系进行编码,利用MA机制自适应分配行为权重,实现学习偏好的精准推断;最后,构建3层级信息安全知识图谱,量化知识点依赖关系,结合偏好匹配度进行个性化推荐。结果表明,BiLSTM-MA-FSBD方法的推荐精确率比协同过滤(collaborative filtering,CF)方法提高了26.2个百分点。该方法可以有效适配信息安全课程的教学特性与学生个性化学习需求,为解决课程知识的精准推荐问题提供了切实可行的技术方案。展开更多
The paradigm of personalized integrative medicine is rapidly evolving,driven by the rapid growth of multimodal data in intensive care units(ICUs).As articulated in recent discussions within Future Integrative Medicine...The paradigm of personalized integrative medicine is rapidly evolving,driven by the rapid growth of multimodal data in intensive care units(ICUs).As articulated in recent discussions within Future Integrative Medicine,the integration of traditional clinical wisdom with modern frameworks requires more than just technological novelty;it demands robust“clinical integration models”that align with global policy frameworks to be effective.Thamizhoviya et al.1 emphasize that the successful translation of integrative theory into practice depends heavily on accessibility and seamless workflow integration.展开更多
基金supported by the Key Projects of National Natural Science Foundation of China(42230406,42130103,41930648).
文摘The coastal zone represents a critical intersection of naturally ecological and socio-economic processes.The abundance of data,models,and knowledge derived from various sources in coastal zones facilitates us to integrate them to better understand the evolution of coastal environments.This paper proposes a comprehensive framework of Coastal Zone Information Model(CZIM)to integrate multi-domain coastal information.The core idea of CZIM is to integrate multi-discipline coastal data,models,and knowledge for standardized governance,so as to carry,express,and apply coastal information by the digital system approaching the coastal digital twin.The CZIM framework includes four aspects:coastal data governance,model integration,knowledge engineering,and system construction.We perform a detailed literature review to illustrate the demands and challenges related to those four.The components of each aspect and their interlinks are introduced subsequently,and the future challenges of constructing coastal digital twins relying on CZIM are discussed.CZIM aims to strengthen the ability to organize,manage and apply refined coastal information to support more efficient,scientific,and intelligent decision-making in response to gradually volatile forces from both human activities and natural events,now and in the future.This paper provides a valuable reference for the next generation of coastal digitization in the target of the coastal digital twin.
基金supported by the National Key Basic Research and Development Program of China under contract No.2006CB701305the National Natural Science Foundation of China under coutract No.40571129the National High-Technology Program of China under contract Nos 2002AA639400,2003AA604040 and 2003AA637030.
文摘Marine information has been increasing quickly. The traditional database technologies have disadvantages in manipulating large amounts of marine information which relates to the position in 3-D with the time. Recently, greater emphasis has been placed on GIS （geographical information system）to deal with the marine information. The GIS has shown great success for terrestrial applications in the last decades, but its use in marine fields has been far more restricted. One of the main reasons is that most of the GIS systems or their data models are designed for land applications. They cannot do well with the nature of the marine environment and for the marine information. And this becomes a fundamental challenge to the traditional GIS and its data structure. This work designed a data model, the raster-based spatio-temporal hierarchical data model （RSHDM）, for the marine information system, or for the knowledge discovery fi＇om spatio-temporal data, which bases itself on the nature of the marine data and overcomes the shortages of the current spatio-temporal models when they are used in the field. As an experiment, the marine fishery data warehouse （FDW） for marine fishery management was set up, which was based on the RSHDM. The experiment proved that the RSHDM can do well with the data and can extract easily the aggregations that the management needs at different levels.
文摘The paradigm of personalized integrative medicine is rapidly evolving,driven by the rapid growth of multimodal data in intensive care units(ICUs).As articulated in recent discussions within Future Integrative Medicine,the integration of traditional clinical wisdom with modern frameworks requires more than just technological novelty;it demands robust“clinical integration models”that align with global policy frameworks to be effective.Thamizhoviya et al.1 emphasize that the successful translation of integrative theory into practice depends heavily on accessibility and seamless workflow integration.
