The development of 3D geological models involves the integration of large amounts of geological data,as well as additional accessible proprietary lithological,structural,geochemical,geophysical,and borehole data.Luanc...The development of 3D geological models involves the integration of large amounts of geological data,as well as additional accessible proprietary lithological,structural,geochemical,geophysical,and borehole data.Luanchuan,the case study area,southwestern Henan Province,is an important molybdenum-tungsten-lead-zinc polymetallic belt in China.展开更多
Objective The most prevalent mRNA modification,N6-methyladenosine(m^(6)A)plays an important role in various RNA metabolism,including gene expression and translation.By recruiting different“reader”proteins and their ...Objective The most prevalent mRNA modification,N6-methyladenosine(m^(6)A)plays an important role in various RNA metabolism,including gene expression and translation.By recruiting different“reader”proteins and their cofactors,m^(6)A modification can affect messenger RNA(mRNA)degradation,splicing,nuclear export and translation.However,the selective mechanism by which m^(6)A sites regulate mRNA translation through m^(6)A reader YTHDF1 binding remains poorly understood,due to a lack of computational methods for identifying context-specific m^(6)A sites that regulate translation.To address this,we developed a novel computational framework named m^(6)ATEpre,the first tool designed to predict cell-specific m^(6)A sites that regulate translation efficiency.Methods m^(6)ATEpre integrates multi-omics data,introduces a novel feature representation strategy for m^(6)A site sequences,and employs an autoencoder to effectively capture embedded feature representations.Specifically,m^(6)ATEpre first integrated MeRIP-seq data and PAR-CLIP data through overlapping m^(6)A sites with YTHDF1 binding sites and identified YTHDF1-mediated m^(6)A sites.Then,m^(6)ATEpre detected the translation gene by analyzing the Ribo-seq data under YTHDF1 knockdown vs control condition.Genes whose translation is mediated by YTHDF1 in an m^(6)A-dependent manner were identified by a significant decrease in translation efficiency upon YTHDF1 knockdown.Next,we proposed a binary vector indicating the presence or absence of YTHDF1 binding motifs to characterize each m^(6)A site sequence.This represents a novel feature representation strategy for m^(6)A sites.m^(6)ATEpre utilized the autoencoder to extract the potentially important feature representations and constructed a multilayer perceptron neural networks model to predict potential m^(6)A sites that regulating translation efficiency.Results A comprehensive evaluation of m^(6)ATEpre was conducted through a series of experiments.We compared its performance against that of a similar prediction task model,as well as other classifiers.The results indicate that m^(6)ATEpre achieved the best prediction performance.In addition,we analyzed different feature representation strategies and performed ablation experiments to validate the rationality of the model design.The results demonstrate that our proposed feature representation strategy has a greater advantage in improving prediction performance.In the HeLa cell line,bioinformatic analysis of the metagene distribution and sequence minimum free energy of m^(6)A sites regulating translation efficiency(m^(6)A-reg-TE sites)revealed their specific properties in translation regulation.Functional enrichment analysis indicated that m^(6)A-reg-TE genes are associated with specific biological processes and KEGG pathways.By integrating the binding sites of YTHDF1 co-factors with m^(6)A-reg-TE sites,we revealed that YTHDF1-mediated and m^(6)A-dependent translation efficiency regulation requires the cooperation of multiple translation-regulatory RNA-binding proteins among its co-factors in the HeLa cell line.Furthermore,we extended our predictions to the dataset of the HEK293T cell line.Similarly,bioinformatic analysis of the metagene distribution and functional enrichment revealed the cell-specific characteristic of these predicted m^(6)A-reg-TE sites in HEK293T cells.Likewise,integrated analysis of multiple YTHDF1 co-factors and m^(6)A-reg-TE sites predicted in the HEK293T cell line reveals their m^(6)A-dependent cooperation in regulating translation efficiency.Conclusion m^(6)ATEpre is a timely tool that will advance our understanding of the mechanisms of m^(6)A regulation in translation efficiency.The source code and datasets used in this work can be downloaded from https://www.scidb.cn/s/bAZZFr.展开更多
Accurate estimation of understory terrain has significant scientific importance for maintaining ecosystem balance and biodiversity conservation.Addressing the issue of inadequate representation of spatial heterogeneit...Accurate estimation of understory terrain has significant scientific importance for maintaining ecosystem balance and biodiversity conservation.Addressing the issue of inadequate representation of spatial heterogeneity when traditional forest topographic inversion methods consider the entire forest as the inversion unit,this study pro⁃poses a differentiated modeling approach to forest types based on refined land cover classification.Taking Puerto Ri⁃co and Maryland as study areas,a multi-dimensional feature system is constructed by integrating multi-source re⁃mote sensing data:ICESat-2 spaceborne LiDAR is used to obtain benchmark values for understory terrain,topo⁃graphic factors such as slope and aspect are extracted based on SRTM data,and vegetation cover characteristics are analyzed using Landsat-8 multispectral imagery.This study incorporates forest type as a classification modeling con⁃dition and applies the random forest algorithm to build differentiated topographic inversion models.Experimental re⁃sults indicate that,compared to traditional whole-area modeling methods(RMSE=5.06 m),forest type-based classi⁃fication modeling significantly improves the accuracy of understory terrain estimation(RMSE=2.94 m),validating the effectiveness of spatial heterogeneity modeling.Further sensitivity analysis reveals that canopy structure parame⁃ters(with RMSE variation reaching 4.11 m)exert a stronger regulatory effect on estimation accuracy compared to forest cover,providing important theoretical support for optimizing remote sensing models of forest topography.展开更多
With the deepening informationization of Resources&Environment Remote Sensing geological survey conducted,some potential problems and deficiency are:(1)shortage of unified-planed running environment;(2)inconsisten...With the deepening informationization of Resources&Environment Remote Sensing geological survey conducted,some potential problems and deficiency are:(1)shortage of unified-planed running environment;(2)inconsistent methods of data integration;and(3)disadvantages of different performing ways of data integration.This paper solves the above problems through overall planning and design,constructs unified running environment.展开更多
In e-commerce the multidimensional data analysis based on the Web data needs integrating various data sources such as XML data and relational data on the conceptual level. A conceptual data description approach to mul...In e-commerce the multidimensional data analysis based on the Web data needs integrating various data sources such as XML data and relational data on the conceptual level. A conceptual data description approach to multidimensional data model the UML galaxy diagram is presented in order to conduct multidimensional data analysis for multiple subjects. The approach is illuminated using a case of 2_roots UML galaxy diagram that takes marketing analysis of TV products involved one retailer and several suppliers into consideration.展开更多
In allusion to the difficulty of integrating data with different models in integrating spatial information, the characteristics of raster structure, vector structure and mixed model were analyzed, and a hierarchical v...In allusion to the difficulty of integrating data with different models in integrating spatial information, the characteristics of raster structure, vector structure and mixed model were analyzed, and a hierarchical vector-raster integrative full feature model was put forward by integrating the advantage of vector and raster model and using the object-oriented method. The data structures of the four basic features, i.e. point, line, surface and solid, were described. An application was analyzed and described, and the characteristics of this model were described. In this model, all objects in the real world are divided into and described as features with hierarchy, and all the data are organized in vector. This model can describe data based on feature, field, network and other models, and avoid the disadvantage of inability to integrate data based on different models and perform spatial analysis on them in spatial information integration.展开更多
Various application domains require the integration of distributed real-time or near-real-time systems with non-real-time systems.Smart cities,smart homes,ambient intelligent systems,or network-centric defense systems...Various application domains require the integration of distributed real-time or near-real-time systems with non-real-time systems.Smart cities,smart homes,ambient intelligent systems,or network-centric defense systems are among these application domains.Data Distribution Service(DDS)is a communication mechanism based on Data-Centric Publish-Subscribe(DCPS)model.It is used for distributed systems with real-time operational constraints.Java Message Service(JMS)is a messaging standard for enterprise systems using Service Oriented Architecture(SOA)for non-real-time operations.JMS allows Java programs to exchange messages in a loosely coupled fashion.JMS also supports sending and receiving messages using a messaging queue and a publish-subscribe interface.In this article,we propose an architecture enabling the automated integration of distributed real-time and non-real-time systems.We test our proposed architecture using a distributed Command,Control,Communications,Computers,and Intelligence(C4I)system.The system has DDS-based real-time Combat Management System components deployed to naval warships,and SOA-based non-real-time Command and Control components used at headquarters.The proposed solution enables the exchange of data between these two systems efficiently.We compare the proposed solution with a similar study.Our solution is superior in terms of automation support,ease of implementation,scalability,and performance.展开更多
This paper analyzes the flow of the process design an d the fountain of the technique data in a manufacturing enterprise, and discusse s the information flows between CAPP and other systems in CIMS, such as CAD syst e...This paper analyzes the flow of the process design an d the fountain of the technique data in a manufacturing enterprise, and discusse s the information flows between CAPP and other systems in CIMS, such as CAD syst em and Enterprise Resource Planning (ERP) system. And then, it discusses the pla ns of information integration between CAPP and CAD, as well as between CAPP and ERP. To design the processes of a product requires the manufacture information, such as blank material and machine tool, which is saved in a database in ERP. General ly, a traditional CAPP system considers the information of the manufacturing res ources, such as machine tool, as changeless. However, it is real changing, becau se the resources may be occupied or the machine tool may be under repair. Theref ore, in order to design the processes more reasonably, we must consider the real change of resources in a workshop. Creating a public resource database to suppo rt the real change of resources is put forward in this paper. With the public re source database, the resource integration between CAPP system and ERP is realize d; and by information collections in CAPP system, such as BOM, the material cons umption and man-hour consumption and their output to ERP, the information integ ration between CAPP system and ERP is realized.展开更多
Supposing that the overall situation is dug out from the distributed monitoring nodes, there should be two critical obstacles, heterogenous schema and instance, to integrating heterogeneous data from different monitor...Supposing that the overall situation is dug out from the distributed monitoring nodes, there should be two critical obstacles, heterogenous schema and instance, to integrating heterogeneous data from different monitoring sensors. To tackle the challenge of heterogenous schema, an instance-based approach for schema mapping, named instance-based machine-learning （IML） approach was described. And to solve the problem of heterogenous instance, a novel approach, called statistic-based clustering （SBC） approach, which utilized clustering and statistics technologies to match large scale sources holistically, was also proposed. These two algorithms utilized the machine-leaning and clustering technology to improve the accuracy. Experimental analysis shows that the IML approach is more precise than SBC approach, reaching at least precision of 81% and recall rate of 82%. Simulation studies further show that SBC can tackle large scale sources holisticalty with 85% recall rate when there are 38 data sources.展开更多
Since a sensor node handles wireless communication in data transmission and reception and is installed in poor environment, it is easily exposed to certain attacks such as data transformation and sniffing. Therefore, ...Since a sensor node handles wireless communication in data transmission and reception and is installed in poor environment, it is easily exposed to certain attacks such as data transformation and sniffing. Therefore, it is necessary to verify data integrity to properly respond to an adversary's ill-intentioned data modification. In sensor network environment, the data integrity verification method verifies the final data only, requesting multiple communications. An energy-efficient private information retrieval(PIR)-based data integrity verification method is proposed. Because the proposed method verifies the integrity of data between parent and child nodes, it is more efficient than the existing method which verifies data integrity after receiving data from the entire network or in a cluster. Since the number of messages for verification is reduced, in addition, energy could be used more efficiently. Lastly, the excellence of the proposed method is verified through performance evaluation.展开更多
Ⅰ. INTRODUCTION Changbai Mountain is situated between E127°54′-128°08′, N40°58′-42°06′ about 2700 meters above sea level. It is the typical area of the mountainous climate in the monsoon area ...Ⅰ. INTRODUCTION Changbai Mountain is situated between E127°54′-128°08′, N40°58′-42°06′ about 2700 meters above sea level. It is the typical area of the mountainous climate in the monsoon area of the temperate zone on the globe. The well reserved primeval vertical distribution of natural landscape belts and the Natural Conservation of Changbai Mountains adopted by the UNESCO′s MAB Program cause the worldwide attention of geographers. Beside the complexity of the climatic structure itself, the mechanical effection of the high mountain body also effect the climate in the eastern part of China. In the mountain area where short of meteorological observation data, the climatic study by remote sensing is favorable for discovery and representation of climatic law in large area.展开更多
文摘The development of 3D geological models involves the integration of large amounts of geological data,as well as additional accessible proprietary lithological,structural,geochemical,geophysical,and borehole data.Luanchuan,the case study area,southwestern Henan Province,is an important molybdenum-tungsten-lead-zinc polymetallic belt in China.
文摘Objective The most prevalent mRNA modification,N6-methyladenosine(m^(6)A)plays an important role in various RNA metabolism,including gene expression and translation.By recruiting different“reader”proteins and their cofactors,m^(6)A modification can affect messenger RNA(mRNA)degradation,splicing,nuclear export and translation.However,the selective mechanism by which m^(6)A sites regulate mRNA translation through m^(6)A reader YTHDF1 binding remains poorly understood,due to a lack of computational methods for identifying context-specific m^(6)A sites that regulate translation.To address this,we developed a novel computational framework named m^(6)ATEpre,the first tool designed to predict cell-specific m^(6)A sites that regulate translation efficiency.Methods m^(6)ATEpre integrates multi-omics data,introduces a novel feature representation strategy for m^(6)A site sequences,and employs an autoencoder to effectively capture embedded feature representations.Specifically,m^(6)ATEpre first integrated MeRIP-seq data and PAR-CLIP data through overlapping m^(6)A sites with YTHDF1 binding sites and identified YTHDF1-mediated m^(6)A sites.Then,m^(6)ATEpre detected the translation gene by analyzing the Ribo-seq data under YTHDF1 knockdown vs control condition.Genes whose translation is mediated by YTHDF1 in an m^(6)A-dependent manner were identified by a significant decrease in translation efficiency upon YTHDF1 knockdown.Next,we proposed a binary vector indicating the presence or absence of YTHDF1 binding motifs to characterize each m^(6)A site sequence.This represents a novel feature representation strategy for m^(6)A sites.m^(6)ATEpre utilized the autoencoder to extract the potentially important feature representations and constructed a multilayer perceptron neural networks model to predict potential m^(6)A sites that regulating translation efficiency.Results A comprehensive evaluation of m^(6)ATEpre was conducted through a series of experiments.We compared its performance against that of a similar prediction task model,as well as other classifiers.The results indicate that m^(6)ATEpre achieved the best prediction performance.In addition,we analyzed different feature representation strategies and performed ablation experiments to validate the rationality of the model design.The results demonstrate that our proposed feature representation strategy has a greater advantage in improving prediction performance.In the HeLa cell line,bioinformatic analysis of the metagene distribution and sequence minimum free energy of m^(6)A sites regulating translation efficiency(m^(6)A-reg-TE sites)revealed their specific properties in translation regulation.Functional enrichment analysis indicated that m^(6)A-reg-TE genes are associated with specific biological processes and KEGG pathways.By integrating the binding sites of YTHDF1 co-factors with m^(6)A-reg-TE sites,we revealed that YTHDF1-mediated and m^(6)A-dependent translation efficiency regulation requires the cooperation of multiple translation-regulatory RNA-binding proteins among its co-factors in the HeLa cell line.Furthermore,we extended our predictions to the dataset of the HEK293T cell line.Similarly,bioinformatic analysis of the metagene distribution and functional enrichment revealed the cell-specific characteristic of these predicted m^(6)A-reg-TE sites in HEK293T cells.Likewise,integrated analysis of multiple YTHDF1 co-factors and m^(6)A-reg-TE sites predicted in the HEK293T cell line reveals their m^(6)A-dependent cooperation in regulating translation efficiency.Conclusion m^(6)ATEpre is a timely tool that will advance our understanding of the mechanisms of m^(6)A regulation in translation efficiency.The source code and datasets used in this work can be downloaded from https://www.scidb.cn/s/bAZZFr.
基金Supported by the National Natural Science Foundation of China(42401488,42071351)the National Key Research and Development Program of China(2020YFA0608501,2017YFB0504204)+4 种基金the Liaoning Revitalization Talents Program(XLYC1802027)the Talent Recruited Program of the Chinese Academy of Science(Y938091)the Project Supported Discipline Innovation Team of the Liaoning Technical University(LNTU20TD-23)the Liaoning Province Doctoral Research Initiation Fund Program(2023-BS-202)the Basic Research Projects of Liaoning Department of Education(JYTQN2023202)。
文摘Accurate estimation of understory terrain has significant scientific importance for maintaining ecosystem balance and biodiversity conservation.Addressing the issue of inadequate representation of spatial heterogeneity when traditional forest topographic inversion methods consider the entire forest as the inversion unit,this study pro⁃poses a differentiated modeling approach to forest types based on refined land cover classification.Taking Puerto Ri⁃co and Maryland as study areas,a multi-dimensional feature system is constructed by integrating multi-source re⁃mote sensing data:ICESat-2 spaceborne LiDAR is used to obtain benchmark values for understory terrain,topo⁃graphic factors such as slope and aspect are extracted based on SRTM data,and vegetation cover characteristics are analyzed using Landsat-8 multispectral imagery.This study incorporates forest type as a classification modeling con⁃dition and applies the random forest algorithm to build differentiated topographic inversion models.Experimental re⁃sults indicate that,compared to traditional whole-area modeling methods(RMSE=5.06 m),forest type-based classi⁃fication modeling significantly improves the accuracy of understory terrain estimation(RMSE=2.94 m),validating the effectiveness of spatial heterogeneity modeling.Further sensitivity analysis reveals that canopy structure parame⁃ters(with RMSE variation reaching 4.11 m)exert a stronger regulatory effect on estimation accuracy compared to forest cover,providing important theoretical support for optimizing remote sensing models of forest topography.
文摘With the deepening informationization of Resources&Environment Remote Sensing geological survey conducted,some potential problems and deficiency are:(1)shortage of unified-planed running environment;(2)inconsistent methods of data integration;and(3)disadvantages of different performing ways of data integration.This paper solves the above problems through overall planning and design,constructs unified running environment.
基金This project was supported by China Postdoctoral Science Foundation (2005037506) and the National Natural ScienceFoundation of China (70472029)
文摘In e-commerce the multidimensional data analysis based on the Web data needs integrating various data sources such as XML data and relational data on the conceptual level. A conceptual data description approach to multidimensional data model the UML galaxy diagram is presented in order to conduct multidimensional data analysis for multiple subjects. The approach is illuminated using a case of 2_roots UML galaxy diagram that takes marketing analysis of TV products involved one retailer and several suppliers into consideration.
基金Project (40473029) supported bythe National Natural Science Foundation of China project (04JJ3046) supported bytheNatural Science Foundation of Hunan Province , China
文摘In allusion to the difficulty of integrating data with different models in integrating spatial information, the characteristics of raster structure, vector structure and mixed model were analyzed, and a hierarchical vector-raster integrative full feature model was put forward by integrating the advantage of vector and raster model and using the object-oriented method. The data structures of the four basic features, i.e. point, line, surface and solid, were described. An application was analyzed and described, and the characteristics of this model were described. In this model, all objects in the real world are divided into and described as features with hierarchy, and all the data are organized in vector. This model can describe data based on feature, field, network and other models, and avoid the disadvantage of inability to integrate data based on different models and perform spatial analysis on them in spatial information integration.
文摘Various application domains require the integration of distributed real-time or near-real-time systems with non-real-time systems.Smart cities,smart homes,ambient intelligent systems,or network-centric defense systems are among these application domains.Data Distribution Service(DDS)is a communication mechanism based on Data-Centric Publish-Subscribe(DCPS)model.It is used for distributed systems with real-time operational constraints.Java Message Service(JMS)is a messaging standard for enterprise systems using Service Oriented Architecture(SOA)for non-real-time operations.JMS allows Java programs to exchange messages in a loosely coupled fashion.JMS also supports sending and receiving messages using a messaging queue and a publish-subscribe interface.In this article,we propose an architecture enabling the automated integration of distributed real-time and non-real-time systems.We test our proposed architecture using a distributed Command,Control,Communications,Computers,and Intelligence(C4I)system.The system has DDS-based real-time Combat Management System components deployed to naval warships,and SOA-based non-real-time Command and Control components used at headquarters.The proposed solution enables the exchange of data between these two systems efficiently.We compare the proposed solution with a similar study.Our solution is superior in terms of automation support,ease of implementation,scalability,and performance.
文摘This paper analyzes the flow of the process design an d the fountain of the technique data in a manufacturing enterprise, and discusse s the information flows between CAPP and other systems in CIMS, such as CAD syst em and Enterprise Resource Planning (ERP) system. And then, it discusses the pla ns of information integration between CAPP and CAD, as well as between CAPP and ERP. To design the processes of a product requires the manufacture information, such as blank material and machine tool, which is saved in a database in ERP. General ly, a traditional CAPP system considers the information of the manufacturing res ources, such as machine tool, as changeless. However, it is real changing, becau se the resources may be occupied or the machine tool may be under repair. Theref ore, in order to design the processes more reasonably, we must consider the real change of resources in a workshop. Creating a public resource database to suppo rt the real change of resources is put forward in this paper. With the public re source database, the resource integration between CAPP system and ERP is realize d; and by information collections in CAPP system, such as BOM, the material cons umption and man-hour consumption and their output to ERP, the information integ ration between CAPP system and ERP is realized.
基金Projects(2007AA01Z126, 2007AA01Z474) supported by the National High-Tech Research and Development Program of ChinaProject(NCET-06-0928) supported by the Program for New Century Excellent Talents in University
文摘Supposing that the overall situation is dug out from the distributed monitoring nodes, there should be two critical obstacles, heterogenous schema and instance, to integrating heterogeneous data from different monitoring sensors. To tackle the challenge of heterogenous schema, an instance-based approach for schema mapping, named instance-based machine-learning （IML） approach was described. And to solve the problem of heterogenous instance, a novel approach, called statistic-based clustering （SBC） approach, which utilized clustering and statistics technologies to match large scale sources holistically, was also proposed. These two algorithms utilized the machine-leaning and clustering technology to improve the accuracy. Experimental analysis shows that the IML approach is more precise than SBC approach, reaching at least precision of 81% and recall rate of 82%. Simulation studies further show that SBC can tackle large scale sources holisticalty with 85% recall rate when there are 38 data sources.
基金supported by the Sharing and Diffusion of National R&D Outcome funded by the Korea Institute of Science and Technology Information
文摘Since a sensor node handles wireless communication in data transmission and reception and is installed in poor environment, it is easily exposed to certain attacks such as data transformation and sniffing. Therefore, it is necessary to verify data integrity to properly respond to an adversary's ill-intentioned data modification. In sensor network environment, the data integrity verification method verifies the final data only, requesting multiple communications. An energy-efficient private information retrieval(PIR)-based data integrity verification method is proposed. Because the proposed method verifies the integrity of data between parent and child nodes, it is more efficient than the existing method which verifies data integrity after receiving data from the entire network or in a cluster. Since the number of messages for verification is reduced, in addition, energy could be used more efficiently. Lastly, the excellence of the proposed method is verified through performance evaluation.
文摘Ⅰ. INTRODUCTION Changbai Mountain is situated between E127°54′-128°08′, N40°58′-42°06′ about 2700 meters above sea level. It is the typical area of the mountainous climate in the monsoon area of the temperate zone on the globe. The well reserved primeval vertical distribution of natural landscape belts and the Natural Conservation of Changbai Mountains adopted by the UNESCO′s MAB Program cause the worldwide attention of geographers. Beside the complexity of the climatic structure itself, the mechanical effection of the high mountain body also effect the climate in the eastern part of China. In the mountain area where short of meteorological observation data, the climatic study by remote sensing is favorable for discovery and representation of climatic law in large area.
