Using spatial data integration and database technology,analyzing and integrating the assessment results in all the development zones at different time in Hunan Province,the paper is intended to construct the database ...Using spatial data integration and database technology,analyzing and integrating the assessment results in all the development zones at different time in Hunan Province,the paper is intended to construct the database and managerial system for the assessment results of land use intensity in development zones,thus formulating"one map"of Hunan Development zones and realizing the integrated management and application of the assessment results in all the development zones at any time of Hunan above the provincial level.It has been proved that the system has good application effect and promising development in land management for land management departments and development zones.展开更多
“Multidimensional international world”refers to understanding the world through multiple dimensions beyond traditional economic or political measures,fostering cross-cultural collaboration,and creating systems that ...“Multidimensional international world”refers to understanding the world through multiple dimensions beyond traditional economic or political measures,fostering cross-cultural collaboration,and creating systems that balance global integration with local needs.This also includes management of global business operations across diverse cultures in a multipolar international landscape.The paper briefs the developed and already tested in numerous applications high-level Spatial Grasp Model and Technology(SGT),which can help investigate and manage complex systems with a holistic spatial approach effectively covering various physical and virtual dimensions,their interrelations,and integration as a whole.Different areas will be investigated with examples of practical solutions in them and their combinations in a high-level Spatial Grasp Language(SGL),the key element of SGT.This allows for the creation and distributed management of very large spatial networks with different orientation which can be self-spreading,self-analyzing,self-modifying,and self-recovering in complex terrestrial and celestial environments,and also organize dynamic multi-networking solutions supporting global evolution and integrity.展开更多
Efficient data management in healthcare is essential for providing timely and accurate patient care, yet traditional partitioning methods in relational databases often struggle with the high volume, heterogeneity, and...Efficient data management in healthcare is essential for providing timely and accurate patient care, yet traditional partitioning methods in relational databases often struggle with the high volume, heterogeneity, and regulatory complexity of healthcare data. This research introduces a tailored partitioning strategy leveraging the MD5 hashing algorithm to enhance data insertion, query performance, and load balancing in healthcare systems. By applying a consistent hash function to patient IDs, our approach achieves uniform distribution of records across partitions, optimizing retrieval paths and reducing access latency while ensuring data integrity and compliance. We evaluated the method through experiments focusing on partitioning efficiency, scalability, and fault tolerance. The partitioning efficiency analysis compared our MD5-based approach with standard round-robin methods, measuring insertion times, query latency, and data distribution balance. Scalability tests assessed system performance across increasing dataset sizes and varying partition counts, while fault tolerance experiments examined data integrity and retrieval performance under simulated partition failures. The experimental results demonstrate that the MD5-based partitioning strategy significantly reduces query retrieval times by optimizing data access patterns, achieving up to X% better performance compared to round-robin methods. It also scales effectively with larger datasets, maintaining low latency and ensuring robust resilience under failure scenarios. This novel approach offers a scalable, efficient, and fault-tolerant solution for healthcare systems, facilitating faster clinical decision-making and improved patient care in complex data environments.展开更多
“Multidimensional international world”refers to understanding the world through its multiple dimensions beyond traditional economic or political measures,by fostering cross-cultural collaboration and balancing globa...“Multidimensional international world”refers to understanding the world through its multiple dimensions beyond traditional economic or political measures,by fostering cross-cultural collaboration and balancing global integration with local needs.The paper briefs the developed high-level Spatial Grasp Model and Technology(SGT)which can investigate and manage complex systems with a holistic spatial approach effectively covering different physical and virtual dimensions and their integration as a whole.It then describes basics of multidimensional management system which is currently under development,and provides examples of practical solutions in different dimensions and their combinations in Spatial Grasp Language(SGL),the key element of SGT,with networking representations of the solutions.These include inter-dimensional influence and optimization,finding multidimensional communities,showing multidimensional recovery after disasters,finding dangerous multidimensional groupings,isolated multidimensional components,as well as interaction of physical and virtual dimensions.Different versions of SGT were tested on numerous applications and in different countries,and its latest version,especially suitable for multidimensional management,can be quickly implemented on any existing software or hardware platforms an integrated with advanced communication systems.展开更多
目的探索医院医用供应-加工-配送(Supply-Processing-Distribution,SPD)供应链服务改革,助力医用耗材精细化管理,通过数据整合,加强医用耗材各流通环节的精细化管理实践。方法打通数据接口,连通医院信息系统(Hospital Information Syste...目的探索医院医用供应-加工-配送(Supply-Processing-Distribution,SPD)供应链服务改革,助力医用耗材精细化管理,通过数据整合,加强医用耗材各流通环节的精细化管理实践。方法打通数据接口,连通医院信息系统(Hospital Information System,HIS)、医院资源规划(Hospital Resource Planning,HRP)系统、电子病历(Electronic Medical Record,EMR)系统等信息系统,构建医用耗材供应管理系统,系统涵盖耗材编码、库存管理、临床追溯、智能补货、结算对接等功能,通过对各使用环节的物流数据监控分析,实现医用耗材供应全生命周期数据追溯管理。结果SPD模式上线后,2024年支持手术13万余台次、配送耗材98万余件;与传统模式相比,SPD模式的术前准备、耗材取用、结算计费时间分别缩短84.96%、24.00%、62.50%(P均<0.001);在成本与管理优化方面,实现耗材零库存管理,1101个耗材品规中有178个完成调价,年节约成本330万元,2024年手术耗材成本较2023年显著降低(P<0.001)。结论SPD改革满足耗材精细化管理需求,首次实现“临床-后勤-财务”全链条闭环管理,具应用集成性与临床适应性,可提升管理效率,对医疗机构高质量发展有现实意义与推广价值。展开更多
Current integration methods for single-cell RNA sequencing(scRNA-seq)data and spatial transcriptomics(ST)data are typically designed for specific tasks,such as deconvolution of cell types or spatial distribution predi...Current integration methods for single-cell RNA sequencing(scRNA-seq)data and spatial transcriptomics(ST)data are typically designed for specific tasks,such as deconvolution of cell types or spatial distribution prediction of RNA transcripts.These methods usually only offer a partial analysis of ST data,neglecting the complex relationship between spatial expression patterns underlying cell-type specificity and intercellular cross-talk.Here,we present eMCI,an explainable multimodal correlation integration model based on deep neural network framework.eMCI leverages the fusion of scRNA-seq and ST data using different spot–cell correlations to integrate multiple synthetic analysis tasks of ST data at cellular level.First,eMCI can achieve better or comparable accuracy in cell-type classification and deconvolution according to wide evaluations and comparisons with state-of-the-art methods on both simulated and real ST datasets.Second,eMCI can identify key components across spatial domains responsible for different cell types and elucidate the spatial expression patterns underlying cell-type specificity and intercellular communication,by employing an attribution algorithm to dissect the visual input.Especially,eMCI has been applied to 3 cross-species datasets,including zebrafish melanomas,soybean nodule maturation,and human embryonic lung,which accurately and efficiently estimate per-spot cell composition and infer proximal and distal cellular interactions within the spatial and temporal context.In summary,eMCI serves as an integrative analytical framework to better resolve the spatial transcriptome based on existing single-cell datasets and elucidate proximal and distal intercellular signal transduction mechanisms over spatial domains without requirement of biological prior reference.This approach is expected to facilitate the discovery of spatial expression patterns of potential biomolecules with cell type and cell–cell communication specificity.展开更多
There has been a worldwide revolution in geoscientific data availability and access.An effectively infinite and instantaneous free access to geoscientific data from the World Wide System of Geoscience Data Centers and...There has been a worldwide revolution in geoscientific data availability and access.An effectively infinite and instantaneous free access to geoscientific data from the World Wide System of Geoscience Data Centers and Virtual Observatories is available.In addition,national databanks and commercially available large exploration data-sets also exist.These distributed data resources impose challenges for the future to move toward their objective integration and visualization to discover new knowledge.Such advancements can facilitate meaningful interpretations and decision-making for the benefit of society at global and local scales.This article presents the Digital Earth initiative at a national level to address multiple domains,such as effective management of natural resources,interactive planning of exploration activities and monitoring,mapping and mitigation of natural hazards.It discusses a distributed geospatial data infrastructure and its importance in geoscientific data integration for efficient and interactive data retrieval,analysis and visualization.Some examples are presented to demonstrate the advantages of integrated visualization in geoscientific analysis.展开更多
文摘Using spatial data integration and database technology,analyzing and integrating the assessment results in all the development zones at different time in Hunan Province,the paper is intended to construct the database and managerial system for the assessment results of land use intensity in development zones,thus formulating"one map"of Hunan Development zones and realizing the integrated management and application of the assessment results in all the development zones at any time of Hunan above the provincial level.It has been proved that the system has good application effect and promising development in land management for land management departments and development zones.
文摘“Multidimensional international world”refers to understanding the world through multiple dimensions beyond traditional economic or political measures,fostering cross-cultural collaboration,and creating systems that balance global integration with local needs.This also includes management of global business operations across diverse cultures in a multipolar international landscape.The paper briefs the developed and already tested in numerous applications high-level Spatial Grasp Model and Technology(SGT),which can help investigate and manage complex systems with a holistic spatial approach effectively covering various physical and virtual dimensions,their interrelations,and integration as a whole.Different areas will be investigated with examples of practical solutions in them and their combinations in a high-level Spatial Grasp Language(SGL),the key element of SGT.This allows for the creation and distributed management of very large spatial networks with different orientation which can be self-spreading,self-analyzing,self-modifying,and self-recovering in complex terrestrial and celestial environments,and also organize dynamic multi-networking solutions supporting global evolution and integrity.
文摘Efficient data management in healthcare is essential for providing timely and accurate patient care, yet traditional partitioning methods in relational databases often struggle with the high volume, heterogeneity, and regulatory complexity of healthcare data. This research introduces a tailored partitioning strategy leveraging the MD5 hashing algorithm to enhance data insertion, query performance, and load balancing in healthcare systems. By applying a consistent hash function to patient IDs, our approach achieves uniform distribution of records across partitions, optimizing retrieval paths and reducing access latency while ensuring data integrity and compliance. We evaluated the method through experiments focusing on partitioning efficiency, scalability, and fault tolerance. The partitioning efficiency analysis compared our MD5-based approach with standard round-robin methods, measuring insertion times, query latency, and data distribution balance. Scalability tests assessed system performance across increasing dataset sizes and varying partition counts, while fault tolerance experiments examined data integrity and retrieval performance under simulated partition failures. The experimental results demonstrate that the MD5-based partitioning strategy significantly reduces query retrieval times by optimizing data access patterns, achieving up to X% better performance compared to round-robin methods. It also scales effectively with larger datasets, maintaining low latency and ensuring robust resilience under failure scenarios. This novel approach offers a scalable, efficient, and fault-tolerant solution for healthcare systems, facilitating faster clinical decision-making and improved patient care in complex data environments.
文摘“Multidimensional international world”refers to understanding the world through its multiple dimensions beyond traditional economic or political measures,by fostering cross-cultural collaboration and balancing global integration with local needs.The paper briefs the developed high-level Spatial Grasp Model and Technology(SGT)which can investigate and manage complex systems with a holistic spatial approach effectively covering different physical and virtual dimensions and their integration as a whole.It then describes basics of multidimensional management system which is currently under development,and provides examples of practical solutions in different dimensions and their combinations in Spatial Grasp Language(SGL),the key element of SGT,with networking representations of the solutions.These include inter-dimensional influence and optimization,finding multidimensional communities,showing multidimensional recovery after disasters,finding dangerous multidimensional groupings,isolated multidimensional components,as well as interaction of physical and virtual dimensions.Different versions of SGT were tested on numerous applications and in different countries,and its latest version,especially suitable for multidimensional management,can be quickly implemented on any existing software or hardware platforms an integrated with advanced communication systems.
文摘目的探索医院医用供应-加工-配送(Supply-Processing-Distribution,SPD)供应链服务改革,助力医用耗材精细化管理,通过数据整合,加强医用耗材各流通环节的精细化管理实践。方法打通数据接口,连通医院信息系统(Hospital Information System,HIS)、医院资源规划(Hospital Resource Planning,HRP)系统、电子病历(Electronic Medical Record,EMR)系统等信息系统,构建医用耗材供应管理系统,系统涵盖耗材编码、库存管理、临床追溯、智能补货、结算对接等功能,通过对各使用环节的物流数据监控分析,实现医用耗材供应全生命周期数据追溯管理。结果SPD模式上线后,2024年支持手术13万余台次、配送耗材98万余件;与传统模式相比,SPD模式的术前准备、耗材取用、结算计费时间分别缩短84.96%、24.00%、62.50%(P均<0.001);在成本与管理优化方面,实现耗材零库存管理,1101个耗材品规中有178个完成调价,年节约成本330万元,2024年手术耗材成本较2023年显著降低(P<0.001)。结论SPD改革满足耗材精细化管理需求,首次实现“临床-后勤-财务”全链条闭环管理,具应用集成性与临床适应性,可提升管理效率,对医疗机构高质量发展有现实意义与推广价值。
基金supported by the National Key R&D Program of China(Nos.2023YFF1204700 and 2022YFF1202100)the National Natural Science Foundation of China(Nos.12371485,62201150,T2341022,62172164,12322119,and 12271180)the Natural Science Foundation of Guangdong Province of China(Nos.2022A1515110759,2023A1515110558,and 2024A1515011797).
文摘Current integration methods for single-cell RNA sequencing(scRNA-seq)data and spatial transcriptomics(ST)data are typically designed for specific tasks,such as deconvolution of cell types or spatial distribution prediction of RNA transcripts.These methods usually only offer a partial analysis of ST data,neglecting the complex relationship between spatial expression patterns underlying cell-type specificity and intercellular cross-talk.Here,we present eMCI,an explainable multimodal correlation integration model based on deep neural network framework.eMCI leverages the fusion of scRNA-seq and ST data using different spot–cell correlations to integrate multiple synthetic analysis tasks of ST data at cellular level.First,eMCI can achieve better or comparable accuracy in cell-type classification and deconvolution according to wide evaluations and comparisons with state-of-the-art methods on both simulated and real ST datasets.Second,eMCI can identify key components across spatial domains responsible for different cell types and elucidate the spatial expression patterns underlying cell-type specificity and intercellular communication,by employing an attribution algorithm to dissect the visual input.Especially,eMCI has been applied to 3 cross-species datasets,including zebrafish melanomas,soybean nodule maturation,and human embryonic lung,which accurately and efficiently estimate per-spot cell composition and infer proximal and distal cellular interactions within the spatial and temporal context.In summary,eMCI serves as an integrative analytical framework to better resolve the spatial transcriptome based on existing single-cell datasets and elucidate proximal and distal intercellular signal transduction mechanisms over spatial domains without requirement of biological prior reference.This approach is expected to facilitate the discovery of spatial expression patterns of potential biomolecules with cell type and cell–cell communication specificity.
文摘There has been a worldwide revolution in geoscientific data availability and access.An effectively infinite and instantaneous free access to geoscientific data from the World Wide System of Geoscience Data Centers and Virtual Observatories is available.In addition,national databanks and commercially available large exploration data-sets also exist.These distributed data resources impose challenges for the future to move toward their objective integration and visualization to discover new knowledge.Such advancements can facilitate meaningful interpretations and decision-making for the benefit of society at global and local scales.This article presents the Digital Earth initiative at a national level to address multiple domains,such as effective management of natural resources,interactive planning of exploration activities and monitoring,mapping and mitigation of natural hazards.It discusses a distributed geospatial data infrastructure and its importance in geoscientific data integration for efficient and interactive data retrieval,analysis and visualization.Some examples are presented to demonstrate the advantages of integrated visualization in geoscientific analysis.
