Graph Convolutional Network-Based Repository Recommendation System

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.

Correlation Analysis between Ethnic Diversity and Success Rate on a Massive Repository of Movies Data Set and the Board of Directors of Fortune 500 in Terms of Net Sales and Gross Profit

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.

基于XML的开放式Browser／Repository的WEB架构

鉴于目前浏览器不能同时支持多种标注语言的缺陷，提出了一种基于XML的开放式Browser和Repository的四层Web体系，并做了较系统的论述。

Drugs@FDA、FDA Online Label Repository和DailyMed 三大开放获取药品说明书数据库的比较研究

目的:为药学工作人员根据不同需求选择不同的药品说明书数据库提供参考。方法:搜集Drugs@FDA、FDA Online Label Repository和DailyMed三大开放获取药品说明书数据库的信息组织方式,从检索功能设置、检索结果显示内容、数据来源与服务目标三个方面进行比较分析。结果与结论:在检索功能上,以DailyMed最丰富;在检索结果显示内容上,DailyMed的数据格式化程度最高,FDA Online Label Repository次之,而Drugs@FDA只进行了部分格式化;3个数据库都提供页面复制和打印的功能,其中DailyMed的界面更为友好、内容更开放、提供了全部下载功能;在数据来源与服务目标上,Drugs@FDA和FDA Online Label Repository的系统开发者都为FDA,DailyMed为美国国立医学图书馆,Drugs@FDA采用的数据来源为经过FDA严格审批之后的药品说明书,对某一药品信息的描述最全面;FDA Online Label Repository则为厂商提交给FDA的原始说明书,其内容最新,甚至有未上市的药品;DailyMed采用的数据来源取自于已上市的药品包装盒上的信息,还包括很多上市但未经过严格审批的说明书信息,其覆盖药品最全。

Ontology and metadata for online learning resource repository management based on semantic web

An ontology and metadata for online learning resource repository management is constructed. First, based on the analysis of the use-case diagram, the upper ontology is illustrated which includes resource library ontology and user ontology, and evaluated from its function and implementation; then the corresponding class diagram, resource description framework （RDF） schema and extensible markup language （XML） schema are given. Secondly, the metadata for online learning resource repository management is proposed based on the Dublin Core Metadata Initiative and the IEEE Learning Technologies Standards Committee Learning Object Metadata Working Group. Finally, the inference instance is shown, which proves the validity of ontology and metadata in online learning resource repository management.

浅析PowerSoft Repository系统表在软件开发中的应用

讨论了PowerSoft Repository系统表在软件开发中的一些应用，如动态报表、数据备份和数据恢复等。

面向XML Repository搜索引擎的研究与实现

由于XML开发者可以随意定义自己的元素,就可能导致相同的元素表示不同的信息或相同的信息由不同的元素表示,这种现象使得人们交换XML文档相当困难。为了解决这一问题,许多团体组织开发了XMLRepository。目前主流的搜索机制并不适合XMLRepository,因此针对XMLRepository开发搜索引擎成为一个新的课题。本文通过分析XMLRepository的特点和主流搜索引擎的局限性,根据引入的“本体论”和“带有不完整信息的XML树”概念,为XML文档模式提出一种新的搜索引擎的模型XRDS,并通过实验验证。

Magnetotelluric extremum boundary inversion based on different stabilizers and its application in a high radioactive waste repository site selection

Geophysical inversion under different stabilizers has different descriptions of the target body boundary,especially in complex geological structures.In this paper,we present an extremum boundary inversion algorithm based on different stabilizers for electrical interface recognition.Firstly,we use the smoothest and minimum-support stabilizing functional to study the applicability of adaptive regularization inversion algorithm.Then,an electrical interface recognition method based on different stabilizers is developed by introducing extremum boundary inversion algorithm.The testing shows that the adaptive regularization inversion method does work for different stabilizers and has a low dependence on the initial models.The ratio of the smooth and focusing upper and lower boundaries obtained using the extremum boundary inversion algorithm can clearly demarcate electrical interfaces.We apply the inversion algorithm to the magnetotelluric(MT)data collected from a preselected area of a high-level-waste clay-rock repository site in the Tamusu area.We recognized regional structures with smooth inversion and the local details with focusing inversion and determined the thickness of the target layer combined with the geological and drilling information,which meets the requirement for the site of the high-level waste clay-rock repository.

Establishing the knowledge repository of rapidly solidified aging Cu-Cr-Zr alloy on the artificial neural-network

The non-linear relationship between parameters of rapidly solidified agingprocesses and mechancal and electrical properties of Cu-Cr-Zr alloy is available by using asupervised artificial neural network (ANN). A knowledge repository of rapidly solidified agingprocesses is established via sufficient data learning by the network. The predicted values of theneural network are in accordance with the tested data. So an effective measure for foreseeing andcontrolling the properties of the processing is provided.

Active source seismic imaging on near-surface granite body:case study of siting a geological disposal repository for high-level radioactive nuclear waste

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.

sRNAanno-a database repository of uniformly annotated small RNAs in plants

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.

Swelling ability and behaviour of bentonite-based materials for deep repository engineered barrier systems:Influence of physical,chemical and thermal factors

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.

A Study of the Thermal Conductivity Property of the High-level Radioactive Waste Repository:The Case of Beishan Preselected Site,Gansu Province

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

Behavior Simulation of High Level Radioactive waste Repository in Beishan Granite Site

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

The convection cooling system of the Yakutsk permafrost seed repository

Temperature is critical to maintaining seed viability under long-term storage conditions. It has been common practice to use refrigeration systems to maintain required storage temperatures. A seed repository constructed in permafrost in Yakutsk, Russia is the first seed storage facility that relies solely on natural cold. This paper describes the design and performance of the cooling system of the repository. An innovative aspect of the cooling system is that it utilizes the patterns of temperature wave propagation in permafrost. Predicted and measured ground temperatures for the first year of operation are presented and analyzed. Results indicate that convection air cooling systems can be used to control the temperature regime in underground facilities in permafrost.

Modelling of Predictive Hydraulic Impacts of a Potential Radioactive Waste Geological Repository on the Meuse/Haute-Marne Multilayered Aquifer System (France)

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.

Sensitivity Analysis of Geological Parameters Influencing a Solute Transport from a Deep Repository of Spent Nuclear Fuel

When evaluating Nuclear Waste DGR Safety, it is necessary to confirm its safety in a long run and above all its safety towards the biosphere which is more precisely that the biosphere will not be in any hazard caused by radioactive substances, With the aid of geologists, a model of a hypothetical area was elaborated and described with the use of geological and hydrogeological parameters. The volume of isotopes released out of the massif at the borderline of the near/far field from the DGR was determined. The paper results showed that ground water flow and transport of substances within the area were first to be determined. The Flow123D SW was used for the determination. The resulting outcome represents a determination of transported substances concentration depending on time. The disadvantage of the model is the fact that all the input parameters were set deterministically. The problem is solved by using the sensitivity analysis （changing the input parameters） or using the Monte Carlo Method. The major results are： calculations of the radionuclide concentrations in the elements depending on time and determination of parameters that have the biggest impact on the sensitivity of the whole model.

A Web Based Digital Repository for Scholarly Publication

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.

Linked Data-based Slide Repository： The Episodic Slide Retrieval Using the Episodic Keyword Networks

This paper focuses on developing a system that allows presentation authors to effectively retrieve presentation slides for reuse from a large volume of existing presentation materials. We assume episodic memories of the authors can be used as contextual keywords in query expressions to efficiently dig out the expected slides for reuse rather than using only the part-of-slide-descriptions-based keyword queries. As a system, a new slide repository is proposed, composed of slide material collections, slide content data and pieces of information from authors＇ episodic memories related to each slide and presentation together with a slide retrieval application enabling authors to use the episodic memories as part of queries. The result of our experiment shows that the episodic memory-used queries can give more discoverability than the keyword-based queries. Additionally, an improvement model is discussed on the slide retrieval for further slide-finding efficiency by expanding the episodic memories model in the repository taking in the links with the author-and-slide-related data and events having been post on the private and social media sites.