GitHub repository recommendation is a research hotspot in the field of open-source software. The current problemswith the repository recommendation systemare the insufficient utilization of open-source community infor...GitHub repository recommendation is a research hotspot in the field of open-source software. The current problemswith the repository recommendation systemare the insufficient utilization of open-source community informationand the fact that the scoring metrics used to calculate the matching degree between developers and repositoriesare developed manually and rely too much on human experience, leading to poor recommendation results. Toaddress these problems, we design a questionnaire to investigate which repository information developers focus onand propose a graph convolutional network-based repository recommendation system (GCNRec). First, to solveinsufficient information utilization in open-source communities, we construct a Developer-Repository networkusing four types of behavioral data that best reflect developers’ programming preferences and extract features ofdevelopers and repositories from the repository content that developers focus on. Then, we design a repositoryrecommendation model based on a multi-layer graph convolutional network to avoid the manual formulation ofscoringmetrics. Thismodel takes the Developer-Repository network, developer features and repository features asinputs, and recommends the top-k repositories that developers are most likely to be interested in by learning theirpreferences. We have verified the proposed GCNRec on the dataset, and by comparing it with other open-sourcerepository recommendation methods, GCNRec achieves higher precision and hit rate.展开更多
In contemporary workplace, organizations are emphasizing on individual’s diversity and inclusion initiatives in order to reinforce managerial adaptability, increase competitive advantage and decrease legal risks. Non...In contemporary workplace, organizations are emphasizing on individual’s diversity and inclusion initiatives in order to reinforce managerial adaptability, increase competitive advantage and decrease legal risks. Nonetheless, in recent times, there has arisen a debate on whether diversity is a variable that has an immediate effect on success or not. This study focused on determining if diversity in terms of ethnicity, gender, age, etc., has effects on success, by investigating two different data sets;the first one is a massive repository of movies data set and actors to determine if there is a correlation between multiple movie related variables and box office earnings. While the second data focused on Fortunes top 500 companies in the United States (US) vs. 500 less profitable companies in the US. Moreover, the study explores how diversity among Board of Directors (BOD) of fortune 500 companies affects the net sales and gross profits. The movie data set was collected from two main websites;Internet Movie Database (IMDB) and Rotten Tomatoes (RT), the imdb data set contained 107,645 records, while as the rotten tomatoes contained 13,904 records. In addition, information about Fortunes 500 companies was obtained from various websites manually, as immediate data sets were hard to find since it’s the first study that focuses on diversity and success of fortune companies. The data set contained data of fortunes top 500 companies with information of all of its BOD about 5358 records, and less profitable companies of 4434 records. The reason in which these data sets were chosen was to study the ethnic diversity factor and its impact on success rate, and also due to the fact that IMDB and Rotten Tomatoes are the most recognized websites that provide access to a massive repository of movie data sets. While the fortune company’s data set was chosen to demonstrate diversity in the chosen dataset where one was for movies and the other was enterprise based. Furthermore, the data was analyzed in python to establish the relationship between the various variables. In all of the correlation analysis, the Pearson’s coefficient was less than 0.1. Therefore, it was concluded that ethnic diversity has an insignificant effect on the success of movies and the Fortune 500 companies.展开更多
In order to research whether it is suitable to set a geological disposal repository for high-level radioactive nuclear waste into one target granite body,two active source seismic profles were arranged near a small to...In order to research whether it is suitable to set a geological disposal repository for high-level radioactive nuclear waste into one target granite body,two active source seismic profles were arranged near a small town named Tamusu,Western China.The study area is with complex surface conditions,thus the seismic exploration encountered a variettraveltimey of technical difculties such as crossing obstacles,de-noising harmful scattered waves,and building complex near-surface velocity models.In order to address those problems,techniques including cross-obstacle seismic geometry design,angle-domain harmful scattered noise removal,and an acoustic wave equation-based inversion method jointly utilizing both the and waveform of frst arrival waves were adopted.The fnal seismic images clearly exhibit the target rock’s unconformable contact boundary and its top interface beneath the sedimentary and weathered layers.On this basis,it could be confrmed that the target rock is not thin or has been transported by geological process from somewhere else,but a native and massive rock.There are a few small size fractures whose space distribution could be revealed by seismic images within the rock.The fractures should be kept away.Based on current research,it could be considered that active source seismic exploration is demanded during the sitting process of the geological disposal repository for nuclear waste.The seismic acquisition and processing techniques proposed in the present paper would ofer a good reference value for similar researches in the future.展开更多
The research and development of high-level radioactive waste(HLW)repository is a long-term systematic engineering project.Normally,it involves such stages as foundation study,site selection and assessment,underground ...The research and development of high-level radioactive waste(HLW)repository is a long-term systematic engineering project.Normally,it involves such stages as foundation study,site selection and assessment,underground research laboratory testing, and the design,construction,operation,and close of the repository.The key issue in repository design展开更多
Compacted bentonite-sand(B/S)mixtures have been used as a barrier material in engineered barrier systems(EBSs)of deep geological repositories(DGR)to store nuclear wastes.This study investigates the individual and comb...Compacted bentonite-sand(B/S)mixtures have been used as a barrier material in engineered barrier systems(EBSs)of deep geological repositories(DGR)to store nuclear wastes.This study investigates the individual and combined effects of different chemical compositions of deep groundwaters(chemical factor)at potential repository sites in Canada(the Trenton and Guelph regions in Ontario),heat generated in DGRs(thermal factor),dry densities and mass ratios of bentonite and sand mixtures(physical factors)on the swelling behavior and ability of bentonite-based materials.In this study,swelling tests are conducted on B/S mixtures with different B/S mix ratios(20/80 to 70/30),compacted at different dry densities(ρd=1.6-2 g/cm^(3)),saturated with different types of water(distilled water and simulated deep groundwater of Trenton and Guelph)and exposed to different temperatures(20℃-80℃).Moreover,scanning electron microscopy(SEM)analyses,mercury intrusion porosimetry(MIP)tests and X-ray diffractometry(XRD)analyses are carried out to evaluate the morphological,microstructural and mineralogical characteristics of the B/S mixtures.The test results indicate that the swelling potential of the B/S mixtures is significantly affected by these physical and chemical factors as well as the combined effects of the chemical and thermal factors.A significant decrease in the swelling capacity is observed when the B/S materials are exposed to the aforementioned groundwaters.A large decrease in the swelling capacity is observed for higher bentonite content in the mixtures.Moreover,higher temperatures intensify the chemically-induced reduction of the swelling capacity of the B/S barrier materials.This decrease in the swelling capacity is caused by the chemical and/or microstructural changes of the materials.The results from this research will help engineers to design and build EBSs for DGRs with similar groundwater and thermal conditions.展开更多
Small RNAs(sRNAs)are essential regulatory molecules,and there are three major sRNA classes in plants:microRNAs(miRNAs),phased small interfering RNAs(phased siRNAs or phasiRNAs),and heterochromatic siRNAs(hc-siRNAs).Ex...Small RNAs(sRNAs)are essential regulatory molecules,and there are three major sRNA classes in plants:microRNAs(miRNAs),phased small interfering RNAs(phased siRNAs or phasiRNAs),and heterochromatic siRNAs(hc-siRNAs).Excluding miRNAs,the other two classes are not well annotated or available in public databases for most sequenced plant genomes.We performed a comprehensive sRNA annotation of 143 plant species that have fully sequenced genomes and next-generation sequencing sRNA data publicly available.The results are available via an online repository called sRNAanno(www.plantsRNAs.org).Compared with other public plant sRNA databases,we obtained was much more miRNA annotations,which are more complete and reliable because of the consistent and highly stringent criteria used in our miRNA annotations.sRNAanno also provides free access to genomic information for>22,721 PHAS loci and>22 million hc-siRNA loci annotated from these 143 plant species.Both miRNA and PHAS loci can be easily browsed to view their main features,and a collection of archetypal trans-acting siRNA 3(TAS3)genes were annotated separately for quick access.To facilitate the ease of sRNA annotation,sRNAanno provides free service for sRNA annotations to the community.In summary,the sRNAanno database is a great resource to facilitate genomic and genetic research on plant small RNAs.展开更多
This paper presents the behavior simulation of high level radioactive waste repository in Beishan granite site which is the most potential one in China.Based on the results from site characterization in Beishan granit...This paper presents the behavior simulation of high level radioactive waste repository in Beishan granite site which is the most potential one in China.Based on the results from site characterization in Beishan granite site,the conceptual model of repository in this site is proposed and its calculation model is developed with software GoldSim.After verification,this calculation model is applied to simulate the展开更多
The French National Agency for Nuclear Waste Management (Andra) conducted a site investiga- tions program within the project of a deep geological disposal of radioactive waste in the Meuse/ Haute-Marne region. The con...The French National Agency for Nuclear Waste Management (Andra) conducted a site investiga- tions program within the project of a deep geological disposal of radioactive waste in the Meuse/ Haute-Marne region. The construction of the tunnel of 5 Km length and the shafts of about 500 m depth to access the repository located in the clay host formation of Callovo-Oxfordian age, will lead to the perturbations of the groundwater flow fields. The prediction of the behaviour of these perturbations is needed to support: 1) the engineering and monitoring operations, and 2) the assessment of the consequences on groundwater resources. A variably-saturated flow model of a local multi-layered aquifer system is developed. It integrates the Oxfordian aquifer (limestone), the Kimmeridgianaquitard (marl) and the Barrois limestone aquifer including the karst conduits network. The variably-saturated flow Richard’s equation is solved with a finite element simulator. Prior to the simulation of the predictive repository impacts, a transient flow model is calibrated with respect to Underground Research Laboratory (URL) construction data. The results are analysed and evaluated by the use of performance measures.展开更多
Institutional repositories are essential research infrastructure for research-based universities. A properly dimensioned institutional repository has the potential to increase research impact and enhance the visibilit...Institutional repositories are essential research infrastructure for research-based universities. A properly dimensioned institutional repository has the potential to increase research impact and enhance the visibility of an institution through its scholarly outputs. The aim of the study is to design and develop a web-based digital repository for scholarly materials and publications in a tertiary institution. The motivation for carrying out this project is to provide a lasting solution to the need for an effective, efficient, reliable and easily accessible system for storing and retrieving scholarly materials, which will make study and research work less cumbersome and stressful for academic staff and students, thereby enabling them to easily carry out their day-to-day activities, especially as it concerns obtaining relevant scholarly information quickly. The system will be developed using open source software and OOADM (Object Oriented Analysis and Design Methodology). Findings obtained from system validation tests show that the system is a viable solution to the major challenges encountered in the management and sharing of scholarly information at the institution.展开更多
CARE—Cloud Archive Repository Express has emerged from algorithmic machine learning, and acts like a “fastlane” to bridge between DATA and wiseCIO where DATA stands for digital archiving & trans-analyt...CARE—Cloud Archive Repository Express has emerged from algorithmic machine learning, and acts like a “fastlane” to bridge between DATA and wiseCIO where DATA stands for digital archiving & trans-analytics, and wiseCIO for web-based intelligent service. CARE incorporates DATA and wiseCIO into a triad for content management and delivery (CMD) to orchestrate Anything as a Service (XaaS) by using mathematical and computational solutions to cloud-based problems. This article presents algorithmic machine learning in CARE for “DNA-like” ingredients with trivial information eliminated through deep learning to support integral content management over DATA and informative delivery on wiseCIO. In particular with algorithmic machine learning, CARE creatively incorporates express tokens for information interchange (eTokin) to promote seamless intercommunications among the CMD triad that enables Anything as a Service and empowers ordinary users to be UNIQ professionals: such as ubiquitous manager on content management and delivery, novel designer on universal interface and user-centric experience, intelligent expert for business intelligence, and quinary liaison with XaaS without explicitly coding required. Furthermore, CMD triad harnesses rapid prototyping for user interface design and propels cohesive assembly from Anything orchestrated as a Service. More importantly, CARE collaboratively as a whole promotes instant publishing over DATA, efficient presentation to end-users via wiseCIO, and diligent intelligence for business, education, and entertainment (iBEE) through highly robotic process automation.展开更多
Multibarrier systems are commonly proposed for effective isolation of highly radioactive waste (HLW). Presently considered concepts take the host rock as a barrier claiming it to retard migration of possibly released ...Multibarrier systems are commonly proposed for effective isolation of highly radioactive waste (HLW). Presently considered concepts take the host rock as a barrier claiming it to retard migration of possibly released radionuclides from HLW containers to the biosphere. This capacity is small unless water-bearing fracture zones intersecting the blasted waste-containing tunnels and excavation-disturbance zones around them can be sealed by grouting and construction of bulkheads, but this is effective only for a very limited period of time as explained in the paper. The disturbed zones thence make the entire repository serve as a continuous hydraulic conductor causing quick transport of released radionuclides up to the biosphere. The dilemma can be solved by accepting the shortcircuiting function of the disturbed zones along the tunnels on the condition that totally tight waste containers be used. Deep holes bored in the site selection phase through the forthcoming repository can be effective pathways for radionuclides unless they are properly sealed. They are small-scale equivalents of tunnels but do not have any excavation damage and can be effectively sealed by using clay and concrete of new types. Applying this principle to very deep boreholes with a diameter of a few decimeters would make it possible to safely store slim, tight HLW canisters for any period of time.展开更多
Domain repositories,i.e.repositories that store,manage,and persist data pertaining to a specific scientific domain,are common and growing in the research landscape.Many of these repositories develop close,long-term co...Domain repositories,i.e.repositories that store,manage,and persist data pertaining to a specific scientific domain,are common and growing in the research landscape.Many of these repositories develop close,long-term communities made up of individuals and organizations that collect,analyze,and publish results based on the data in the repositories.Connections between these datasets,papers,people,and organizations are an important part of the knowledge infrastructure surrounding the repository.All these research objects,people,and organizations can now be identified using various unique and persistent identifiers(PIDs)and it is possible for domain repositories to build on their existing communities to facilitate and accelerate the identifier adoption process.As community members contribute to multiple datasets and articles,identifiers for them,once found,can be used multiple times.We explore this idea by defining a connectivity metric and applying it to datasets collected and papers published by members of the UNAVCO community.Finding identifiers in DataCite and Crossref metadata and spreading those identifiers through the UNAVCO DataCite metadata can increase connectivity from less than 10%to close to 50%for people and organizations.展开更多
The first results of sorption experiments of U(VI), 234U(VI) and 238U(VI) onto original (unpurified) fracture-filling clays from No.1 monzonitic granite intrusion, Beishan area, Gansu Province, China are reported. The...The first results of sorption experiments of U(VI), 234U(VI) and 238U(VI) onto original (unpurified) fracture-filling clays from No.1 monzonitic granite intrusion, Beishan area, Gansu Province, China are reported. The monzonitic granite intrusion is a potential location for a high-level radwaste (HLW) repository in China. The present experimental results show that the maximum U(VI) sorption reached 92% at near-neutral pH and the distribution coefficient (Kd) was 1226 mL/g. A high sorption capacity of the fracture-filling clays in host rock on radioactive ele-ments is necessary for HLW deep geological disposal repository. No preferential sorption of 234U onto the clays was found. Finally, the sorption of U(VI) onto the clays was also modeled using a surface complexation model.展开更多
In order to archive and utilize the information from Chinese polar expeditions to the greatest extent, we design a novel knowledge repository, in which an automatic query model based on neural networks is proposed and...In order to archive and utilize the information from Chinese polar expeditions to the greatest extent, we design a novel knowledge repository, in which an automatic query model based on neural networks is proposed and a data call trigger is established to keep data consistent between polar data-sharing platforms. And in this repository, anybody can make contributions to the repository by creating or updating entries with version control and an authority control mechanism. In this paper, the data sources,data processes and network structure of this repository are described, and the keywords extraction and decision support operation are detailed. The analysis of this design's feasibility and applicability indicates that this knowledge repository is open, sole and authoritative for Chinese polar expeditions.展开更多
The scientific location of earthquake emergency supply warehouses is conducive to the effective distribution of emergency relief resources and improved rescue efficiency in earthquake hazard. Comprehensively consideri...The scientific location of earthquake emergency supply warehouses is conducive to the effective distribution of emergency relief resources and improved rescue efficiency in earthquake hazard. Comprehensively considering the regional population as well as coverage quality at the demand points, this paper aims to divide the coverage thresholds of earthquake emergency rescue and logistic supplies according to their time-series features,and to build a location model for supply warehouses according to the variety and amount of stored supplies considering their time-series features, in hope of optimizing the set covering issue of earthquake relief supply warehouses. The solution is approached with two methods: the target deviation rate minimization model and NSGA-Ⅱ algorithm. The results obtained by solving the target deviation rate minimization model can balance every target. The branch and bound algorithm can find the global optimal solution at a certain calculation scale with high calculation efficiency, but its efficiency decreases significantly when the operation scale increases. The NSGA-Ⅱ algorithm is more suitable for large-scale solution calculations with high calculation efficiency, and it can output a set of non-inferior solutions for decision makers to select from according to different preference. Taking Aba Prefecture in Sichuan Province as illustration, the feasibility of the model is validated;meanwhile, the effectiveness and benefits of the two approaches in solving the problem of multi-objective set covering of the warehouses are compared and analyzed.展开更多
基金supported by Special Funds for the Construction of an Innovative Province of Hunan,No.2020GK2028.
文摘GitHub repository recommendation is a research hotspot in the field of open-source software. The current problemswith the repository recommendation systemare the insufficient utilization of open-source community informationand the fact that the scoring metrics used to calculate the matching degree between developers and repositoriesare developed manually and rely too much on human experience, leading to poor recommendation results. Toaddress these problems, we design a questionnaire to investigate which repository information developers focus onand propose a graph convolutional network-based repository recommendation system (GCNRec). First, to solveinsufficient information utilization in open-source communities, we construct a Developer-Repository networkusing four types of behavioral data that best reflect developers’ programming preferences and extract features ofdevelopers and repositories from the repository content that developers focus on. Then, we design a repositoryrecommendation model based on a multi-layer graph convolutional network to avoid the manual formulation ofscoringmetrics. Thismodel takes the Developer-Repository network, developer features and repository features asinputs, and recommends the top-k repositories that developers are most likely to be interested in by learning theirpreferences. We have verified the proposed GCNRec on the dataset, and by comparing it with other open-sourcerepository recommendation methods, GCNRec achieves higher precision and hit rate.
文摘In contemporary workplace, organizations are emphasizing on individual’s diversity and inclusion initiatives in order to reinforce managerial adaptability, increase competitive advantage and decrease legal risks. Nonetheless, in recent times, there has arisen a debate on whether diversity is a variable that has an immediate effect on success or not. This study focused on determining if diversity in terms of ethnicity, gender, age, etc., has effects on success, by investigating two different data sets;the first one is a massive repository of movies data set and actors to determine if there is a correlation between multiple movie related variables and box office earnings. While the second data focused on Fortunes top 500 companies in the United States (US) vs. 500 less profitable companies in the US. Moreover, the study explores how diversity among Board of Directors (BOD) of fortune 500 companies affects the net sales and gross profits. The movie data set was collected from two main websites;Internet Movie Database (IMDB) and Rotten Tomatoes (RT), the imdb data set contained 107,645 records, while as the rotten tomatoes contained 13,904 records. In addition, information about Fortunes 500 companies was obtained from various websites manually, as immediate data sets were hard to find since it’s the first study that focuses on diversity and success of fortune companies. The data set contained data of fortunes top 500 companies with information of all of its BOD about 5358 records, and less profitable companies of 4434 records. The reason in which these data sets were chosen was to study the ethnic diversity factor and its impact on success rate, and also due to the fact that IMDB and Rotten Tomatoes are the most recognized websites that provide access to a massive repository of movie data sets. While the fortune company’s data set was chosen to demonstrate diversity in the chosen dataset where one was for movies and the other was enterprise based. Furthermore, the data was analyzed in python to establish the relationship between the various variables. In all of the correlation analysis, the Pearson’s coefficient was less than 0.1. Therefore, it was concluded that ethnic diversity has an insignificant effect on the success of movies and the Fortune 500 companies.
基金This research was supported by the National Key R&D Program of China(No.2018YFC1503200)the Nuclear Waste Geological Disposal Project([2013]727)+2 种基金the National Natural Science Foundation of China(Grant Nos.41790463 and 41730425)the Spark Program of Earthquake Sciences of CEA(XH18063Y)the Special Fund of GEC of CEA(YFGEC2017003,SFGEC2014006).
文摘In order to research whether it is suitable to set a geological disposal repository for high-level radioactive nuclear waste into one target granite body,two active source seismic profles were arranged near a small town named Tamusu,Western China.The study area is with complex surface conditions,thus the seismic exploration encountered a variettraveltimey of technical difculties such as crossing obstacles,de-noising harmful scattered waves,and building complex near-surface velocity models.In order to address those problems,techniques including cross-obstacle seismic geometry design,angle-domain harmful scattered noise removal,and an acoustic wave equation-based inversion method jointly utilizing both the and waveform of frst arrival waves were adopted.The fnal seismic images clearly exhibit the target rock’s unconformable contact boundary and its top interface beneath the sedimentary and weathered layers.On this basis,it could be confrmed that the target rock is not thin or has been transported by geological process from somewhere else,but a native and massive rock.There are a few small size fractures whose space distribution could be revealed by seismic images within the rock.The fractures should be kept away.Based on current research,it could be considered that active source seismic exploration is demanded during the sitting process of the geological disposal repository for nuclear waste.The seismic acquisition and processing techniques proposed in the present paper would ofer a good reference value for similar researches in the future.
文摘The research and development of high-level radioactive waste(HLW)repository is a long-term systematic engineering project.Normally,it involves such stages as foundation study,site selection and assessment,underground research laboratory testing, and the design,construction,operation,and close of the repository.The key issue in repository design
基金the funding support from Natural Sciences and Engineering Research Council of Canada (NSERC)
文摘Compacted bentonite-sand(B/S)mixtures have been used as a barrier material in engineered barrier systems(EBSs)of deep geological repositories(DGR)to store nuclear wastes.This study investigates the individual and combined effects of different chemical compositions of deep groundwaters(chemical factor)at potential repository sites in Canada(the Trenton and Guelph regions in Ontario),heat generated in DGRs(thermal factor),dry densities and mass ratios of bentonite and sand mixtures(physical factors)on the swelling behavior and ability of bentonite-based materials.In this study,swelling tests are conducted on B/S mixtures with different B/S mix ratios(20/80 to 70/30),compacted at different dry densities(ρd=1.6-2 g/cm^(3)),saturated with different types of water(distilled water and simulated deep groundwater of Trenton and Guelph)and exposed to different temperatures(20℃-80℃).Moreover,scanning electron microscopy(SEM)analyses,mercury intrusion porosimetry(MIP)tests and X-ray diffractometry(XRD)analyses are carried out to evaluate the morphological,microstructural and mineralogical characteristics of the B/S mixtures.The test results indicate that the swelling potential of the B/S mixtures is significantly affected by these physical and chemical factors as well as the combined effects of the chemical and thermal factors.A significant decrease in the swelling capacity is observed when the B/S materials are exposed to the aforementioned groundwaters.A large decrease in the swelling capacity is observed for higher bentonite content in the mixtures.Moreover,higher temperatures intensify the chemically-induced reduction of the swelling capacity of the B/S barrier materials.This decrease in the swelling capacity is caused by the chemical and/or microstructural changes of the materials.The results from this research will help engineers to design and build EBSs for DGRs with similar groundwater and thermal conditions.
基金the National Key Research and Developmental Program of China(2018YFD1000104)the National Natural Science Foundation of China(#31872063)+4 种基金the Special Support Program of Guangdong Province(2019TX05N193)the Guangzhou Science and Technology Key Project(201804020063)the Innovation Team Project of the Department of Education of Guangdong Province(2016KCXTD011)the Key Areas of Science and Technology Planning Project of Guangdong Province(2018B020202011)the Guangdong Innovative and Entrepreneurial Research Team Program(2016ZT06S172)。
文摘Small RNAs(sRNAs)are essential regulatory molecules,and there are three major sRNA classes in plants:microRNAs(miRNAs),phased small interfering RNAs(phased siRNAs or phasiRNAs),and heterochromatic siRNAs(hc-siRNAs).Excluding miRNAs,the other two classes are not well annotated or available in public databases for most sequenced plant genomes.We performed a comprehensive sRNA annotation of 143 plant species that have fully sequenced genomes and next-generation sequencing sRNA data publicly available.The results are available via an online repository called sRNAanno(www.plantsRNAs.org).Compared with other public plant sRNA databases,we obtained was much more miRNA annotations,which are more complete and reliable because of the consistent and highly stringent criteria used in our miRNA annotations.sRNAanno also provides free access to genomic information for>22,721 PHAS loci and>22 million hc-siRNA loci annotated from these 143 plant species.Both miRNA and PHAS loci can be easily browsed to view their main features,and a collection of archetypal trans-acting siRNA 3(TAS3)genes were annotated separately for quick access.To facilitate the ease of sRNA annotation,sRNAanno provides free service for sRNA annotations to the community.In summary,the sRNAanno database is a great resource to facilitate genomic and genetic research on plant small RNAs.
文摘This paper presents the behavior simulation of high level radioactive waste repository in Beishan granite site which is the most potential one in China.Based on the results from site characterization in Beishan granite site,the conceptual model of repository in this site is proposed and its calculation model is developed with software GoldSim.After verification,this calculation model is applied to simulate the
文摘The French National Agency for Nuclear Waste Management (Andra) conducted a site investiga- tions program within the project of a deep geological disposal of radioactive waste in the Meuse/ Haute-Marne region. The construction of the tunnel of 5 Km length and the shafts of about 500 m depth to access the repository located in the clay host formation of Callovo-Oxfordian age, will lead to the perturbations of the groundwater flow fields. The prediction of the behaviour of these perturbations is needed to support: 1) the engineering and monitoring operations, and 2) the assessment of the consequences on groundwater resources. A variably-saturated flow model of a local multi-layered aquifer system is developed. It integrates the Oxfordian aquifer (limestone), the Kimmeridgianaquitard (marl) and the Barrois limestone aquifer including the karst conduits network. The variably-saturated flow Richard’s equation is solved with a finite element simulator. Prior to the simulation of the predictive repository impacts, a transient flow model is calibrated with respect to Underground Research Laboratory (URL) construction data. The results are analysed and evaluated by the use of performance measures.
文摘Institutional repositories are essential research infrastructure for research-based universities. A properly dimensioned institutional repository has the potential to increase research impact and enhance the visibility of an institution through its scholarly outputs. The aim of the study is to design and develop a web-based digital repository for scholarly materials and publications in a tertiary institution. The motivation for carrying out this project is to provide a lasting solution to the need for an effective, efficient, reliable and easily accessible system for storing and retrieving scholarly materials, which will make study and research work less cumbersome and stressful for academic staff and students, thereby enabling them to easily carry out their day-to-day activities, especially as it concerns obtaining relevant scholarly information quickly. The system will be developed using open source software and OOADM (Object Oriented Analysis and Design Methodology). Findings obtained from system validation tests show that the system is a viable solution to the major challenges encountered in the management and sharing of scholarly information at the institution.
文摘CARE—Cloud Archive Repository Express has emerged from algorithmic machine learning, and acts like a “fastlane” to bridge between DATA and wiseCIO where DATA stands for digital archiving & trans-analytics, and wiseCIO for web-based intelligent service. CARE incorporates DATA and wiseCIO into a triad for content management and delivery (CMD) to orchestrate Anything as a Service (XaaS) by using mathematical and computational solutions to cloud-based problems. This article presents algorithmic machine learning in CARE for “DNA-like” ingredients with trivial information eliminated through deep learning to support integral content management over DATA and informative delivery on wiseCIO. In particular with algorithmic machine learning, CARE creatively incorporates express tokens for information interchange (eTokin) to promote seamless intercommunications among the CMD triad that enables Anything as a Service and empowers ordinary users to be UNIQ professionals: such as ubiquitous manager on content management and delivery, novel designer on universal interface and user-centric experience, intelligent expert for business intelligence, and quinary liaison with XaaS without explicitly coding required. Furthermore, CMD triad harnesses rapid prototyping for user interface design and propels cohesive assembly from Anything orchestrated as a Service. More importantly, CARE collaboratively as a whole promotes instant publishing over DATA, efficient presentation to end-users via wiseCIO, and diligent intelligence for business, education, and entertainment (iBEE) through highly robotic process automation.
文摘Multibarrier systems are commonly proposed for effective isolation of highly radioactive waste (HLW). Presently considered concepts take the host rock as a barrier claiming it to retard migration of possibly released radionuclides from HLW containers to the biosphere. This capacity is small unless water-bearing fracture zones intersecting the blasted waste-containing tunnels and excavation-disturbance zones around them can be sealed by grouting and construction of bulkheads, but this is effective only for a very limited period of time as explained in the paper. The disturbed zones thence make the entire repository serve as a continuous hydraulic conductor causing quick transport of released radionuclides up to the biosphere. The dilemma can be solved by accepting the shortcircuiting function of the disturbed zones along the tunnels on the condition that totally tight waste containers be used. Deep holes bored in the site selection phase through the forthcoming repository can be effective pathways for radionuclides unless they are properly sealed. They are small-scale equivalents of tunnels but do not have any excavation damage and can be effectively sealed by using clay and concrete of new types. Applying this principle to very deep boreholes with a diameter of a few decimeters would make it possible to safely store slim, tight HLW canisters for any period of time.
文摘Domain repositories,i.e.repositories that store,manage,and persist data pertaining to a specific scientific domain,are common and growing in the research landscape.Many of these repositories develop close,long-term communities made up of individuals and organizations that collect,analyze,and publish results based on the data in the repositories.Connections between these datasets,papers,people,and organizations are an important part of the knowledge infrastructure surrounding the repository.All these research objects,people,and organizations can now be identified using various unique and persistent identifiers(PIDs)and it is possible for domain repositories to build on their existing communities to facilitate and accelerate the identifier adoption process.As community members contribute to multiple datasets and articles,identifiers for them,once found,can be used multiple times.We explore this idea by defining a connectivity metric and applying it to datasets collected and papers published by members of the UNAVCO community.Finding identifiers in DataCite and Crossref metadata and spreading those identifiers through the UNAVCO DataCite metadata can increase connectivity from less than 10%to close to 50%for people and organizations.
基金supported by the National Natural Science Foundation of China(Grant Nos.40025209,40173031)the Ph.D.Base Foundation of Chinese Education Ministry(Grant No.20020284036)Chinese High-level Radwaste Deep Geologic Disposal Research Foundation.
文摘The first results of sorption experiments of U(VI), 234U(VI) and 238U(VI) onto original (unpurified) fracture-filling clays from No.1 monzonitic granite intrusion, Beishan area, Gansu Province, China are reported. The monzonitic granite intrusion is a potential location for a high-level radwaste (HLW) repository in China. The present experimental results show that the maximum U(VI) sorption reached 92% at near-neutral pH and the distribution coefficient (Kd) was 1226 mL/g. A high sorption capacity of the fracture-filling clays in host rock on radioactive ele-ments is necessary for HLW deep geological disposal repository. No preferential sorption of 234U onto the clays was found. Finally, the sorption of U(VI) onto the clays was also modeled using a surface complexation model.
基金Supported by the Basic Condition Platform of the Chinese Ministry of Science and Technology-Data Sharing Infrastructure of Earth System Science(2005DKA32300)the Youth Innovation Fund of the State Oceanic Administration(2012621)+2 种基金China Polar Science Strategy Research Fund Project(20120106)the State Oceanic Administration Polar Science Key Lab Open Research Fund(KP201110)Key Laboratory of Digital Ocean,SOA(KLD0201 408)
文摘In order to archive and utilize the information from Chinese polar expeditions to the greatest extent, we design a novel knowledge repository, in which an automatic query model based on neural networks is proposed and a data call trigger is established to keep data consistent between polar data-sharing platforms. And in this repository, anybody can make contributions to the repository by creating or updating entries with version control and an authority control mechanism. In this paper, the data sources,data processes and network structure of this repository are described, and the keywords extraction and decision support operation are detailed. The analysis of this design's feasibility and applicability indicates that this knowledge repository is open, sole and authoritative for Chinese polar expeditions.
基金supported by the Humanities and Social Sciences Fund of the Ministry of Education of China in 2020 (project no.20YJA630021)National Natural Science Foundation of China in 2012 (project no.71272047)。
文摘The scientific location of earthquake emergency supply warehouses is conducive to the effective distribution of emergency relief resources and improved rescue efficiency in earthquake hazard. Comprehensively considering the regional population as well as coverage quality at the demand points, this paper aims to divide the coverage thresholds of earthquake emergency rescue and logistic supplies according to their time-series features,and to build a location model for supply warehouses according to the variety and amount of stored supplies considering their time-series features, in hope of optimizing the set covering issue of earthquake relief supply warehouses. The solution is approached with two methods: the target deviation rate minimization model and NSGA-Ⅱ algorithm. The results obtained by solving the target deviation rate minimization model can balance every target. The branch and bound algorithm can find the global optimal solution at a certain calculation scale with high calculation efficiency, but its efficiency decreases significantly when the operation scale increases. The NSGA-Ⅱ algorithm is more suitable for large-scale solution calculations with high calculation efficiency, and it can output a set of non-inferior solutions for decision makers to select from according to different preference. Taking Aba Prefecture in Sichuan Province as illustration, the feasibility of the model is validated;meanwhile, the effectiveness and benefits of the two approaches in solving the problem of multi-objective set covering of the warehouses are compared and analyzed.
