In the Engine CAD application system engineering database management system (ECAD-EDBMS) is the kernel. ECAD-EDBMS can manage and process the multimedia such as graphics, data, text, sound, image and video. It provide...In the Engine CAD application system engineering database management system (ECAD-EDBMS) is the kernel. ECAD-EDBMS can manage and process the multimedia such as graphics, data, text, sound, image and video. It provides the integrated environment and more functions for many subsystems of ECAD and engine designers. So it improves the design efficiency.展开更多
In the context of a proliferation of DatabaseManagement Systems(DBMSs),we have envisioned and produced an OWL 2 ontology able to provide a high-level machine-processable description of the DBMSs domain.This conceptual...In the context of a proliferation of DatabaseManagement Systems(DBMSs),we have envisioned and produced an OWL 2 ontology able to provide a high-level machine-processable description of the DBMSs domain.This conceptualization aims to facilitate a proper execution of various software engineering processes and database-focused administration tasks.Also,it can be used to improve the decision-making process for determining/selecting the appropriate DBMS,subject to specific requirements.The proposed model describes the most important features and aspects regarding the DBMS domain,including the support for various paradigms(relational,graph-based,key-value,tree-like,etc.),query languages,platforms(servers),plus running environments(desktop,Web,cloud),specific contexts—i.e.,focusing on optimizing queries,redundancy,security,performance,schema vs.schema-less approaches,programming languages/paradigms,and others.The process of populating the ontology with significant individuals(actual DBMSs)benefits from the existing knowledge exposed by free and open machine-processable knowledge bases,by using structured data fromWikipedia and related sources.The pragmatic use of our ontology is demonstrated by two educational software solutions based on current practices in Web application development,proving support for learning and experimenting key features of the actual semantic Web technologies and tools.This approach is also an example of using multiple knowledge from database systems,semanticWeb technologies,and software engineering areas.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
In this paper the catalog management strategy of the successfully integrating andrunning DDBMS C-POREL is summarized. The new catalog management strategyand its implementation scheme are based on the analysis of the c...In this paper the catalog management strategy of the successfully integrating andrunning DDBMS C-POREL is summarized. The new catalog management strategyand its implementation scheme are based on the analysis of the catalog managementmethods of the pioneer DDBMS. The goal of the new strategy is to improve the systemefficiency. Analysis and practice show that this strategy is successful.展开更多
Background:The conversion of adenosine(A)to inosine(I)through deamination is the prevailing form of RNA editing,impacting numerous nuclear and cytoplasmic transcripts across various eukaryotic species.Millions of high...Background:The conversion of adenosine(A)to inosine(I)through deamination is the prevailing form of RNA editing,impacting numerous nuclear and cytoplasmic transcripts across various eukaryotic species.Millions of high-confidence RNA editing sites have been identified and integrated into various RNA databases,providing a convenient platform for the rapid identification of key drivers of cancer and potential therapeutic targets.However,the available database for integration of RNA editing in hematopoietic cells and hematopoietic malignancies is still lacking.Methods:We downloaded RNA sequencing(RNA-seq)data of 29 leukemia patients and 19 healthy donors from National Center for Biotechnology Information(NCBI)Gene Expression Omnibus(GEO)database,and RNA-seq data of 12 mouse hematopoietic cell populations obtained from our previous research were also used.We performed sequence alignment,identified RNA editing sites,and obtained characteristic editing sites related to normal hematopoietic development and abnormal editing sites associated with hematologic diseases.Results:We established a new database,"REDH",represents RNA editome in hematopoietic differentiation and malignancy.REDH is a curated database of associations between RNA editome and hematopoiesis.REDH integrates 30,796 editing sites from 12 murine adult hematopoietic cell populations and systematically characterizes more than 400,000 edited events in malignant hematopoietic samples from 48 cohorts(human).Through the Differentiation,Disease,Enrichment,and knowledge modules,each A-to-I editing site is systematically integrated,including its distribution throughout the genome,its clinical information(human sample),and functional editing sites under physiological and pathological conditions.Furthermore,REDH compares the similarities and differences of editing sites between different hematologic malignancies and healthy control.Conclusions:REDH is accessible at http://www.redhdatabase.com/.This user-friendly database would aid in understanding the mechanisms of RNA editing in hematopoietic differentiation and malignancies.It provides a set of data related to the maintenance of hematopoietic homeostasis and identifying potential therapeutic targets in malignancies.展开更多
文摘In the Engine CAD application system engineering database management system (ECAD-EDBMS) is the kernel. ECAD-EDBMS can manage and process the multimedia such as graphics, data, text, sound, image and video. It provides the integrated environment and more functions for many subsystems of ECAD and engine designers. So it improves the design efficiency.
文摘In the context of a proliferation of DatabaseManagement Systems(DBMSs),we have envisioned and produced an OWL 2 ontology able to provide a high-level machine-processable description of the DBMSs domain.This conceptualization aims to facilitate a proper execution of various software engineering processes and database-focused administration tasks.Also,it can be used to improve the decision-making process for determining/selecting the appropriate DBMS,subject to specific requirements.The proposed model describes the most important features and aspects regarding the DBMS domain,including the support for various paradigms(relational,graph-based,key-value,tree-like,etc.),query languages,platforms(servers),plus running environments(desktop,Web,cloud),specific contexts—i.e.,focusing on optimizing queries,redundancy,security,performance,schema vs.schema-less approaches,programming languages/paradigms,and others.The process of populating the ontology with significant individuals(actual DBMSs)benefits from the existing knowledge exposed by free and open machine-processable knowledge bases,by using structured data fromWikipedia and related sources.The pragmatic use of our ontology is demonstrated by two educational software solutions based on current practices in Web application development,proving support for learning and experimenting key features of the actual semantic Web technologies and tools.This approach is also an example of using multiple knowledge from database systems,semanticWeb technologies,and software engineering areas.
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In this paper the catalog management strategy of the successfully integrating andrunning DDBMS C-POREL is summarized. The new catalog management strategyand its implementation scheme are based on the analysis of the catalog managementmethods of the pioneer DDBMS. The goal of the new strategy is to improve the systemefficiency. Analysis and practice show that this strategy is successful.
基金supported by grants from the National Key Research and Development Program of China(Nos.2022YFA1106300,2019YFA0802603,2019YFA0801800,2019YFA0111700,and 2021YFA0805703)the National Natural Science Foundation of China(Nos.92268205,82122005,81970154,81970101,82270192)+1 种基金CAMS Innovation Fund for Medical Sciences(No.2021-I2M-1-019)Haihe Laboratory of Cell Ecosystem Innovation Fund(No.22HHXBSS00027)
文摘Background:The conversion of adenosine(A)to inosine(I)through deamination is the prevailing form of RNA editing,impacting numerous nuclear and cytoplasmic transcripts across various eukaryotic species.Millions of high-confidence RNA editing sites have been identified and integrated into various RNA databases,providing a convenient platform for the rapid identification of key drivers of cancer and potential therapeutic targets.However,the available database for integration of RNA editing in hematopoietic cells and hematopoietic malignancies is still lacking.Methods:We downloaded RNA sequencing(RNA-seq)data of 29 leukemia patients and 19 healthy donors from National Center for Biotechnology Information(NCBI)Gene Expression Omnibus(GEO)database,and RNA-seq data of 12 mouse hematopoietic cell populations obtained from our previous research were also used.We performed sequence alignment,identified RNA editing sites,and obtained characteristic editing sites related to normal hematopoietic development and abnormal editing sites associated with hematologic diseases.Results:We established a new database,"REDH",represents RNA editome in hematopoietic differentiation and malignancy.REDH is a curated database of associations between RNA editome and hematopoiesis.REDH integrates 30,796 editing sites from 12 murine adult hematopoietic cell populations and systematically characterizes more than 400,000 edited events in malignant hematopoietic samples from 48 cohorts(human).Through the Differentiation,Disease,Enrichment,and knowledge modules,each A-to-I editing site is systematically integrated,including its distribution throughout the genome,its clinical information(human sample),and functional editing sites under physiological and pathological conditions.Furthermore,REDH compares the similarities and differences of editing sites between different hematologic malignancies and healthy control.Conclusions:REDH is accessible at http://www.redhdatabase.com/.This user-friendly database would aid in understanding the mechanisms of RNA editing in hematopoietic differentiation and malignancies.It provides a set of data related to the maintenance of hematopoietic homeostasis and identifying potential therapeutic targets in malignancies.
