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您的检索式：作者名="Fangying Fu"
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| 1 | HSPM:A Better Model to Effectively Preventing Open-Source Projects from Dying显示文摘With the rapid development of Open-Source(OS),more and more software projects are maintained and developed in the form of OS.These Open-Source projects depend on and influence each other,gradually forming a huge OS project network,namely an Open-Source Software ECOsystem(OSSECO).Unfortunately,not all OS projects in the open-source ecosystem can be healthy and stable in the long term,and more projects will go from active to inactive and gradually die.In a tightly connected ecosystem,the death of one project can potentially cause the collapse of the entire ecosystem network.How can we effectively prevent such situations from happening?In this paper,we first identify the basic project characteristics that affect the survival of OS projects at both project and ecosystem levels through the proportional hazards model.Then,we utilize graph convolutional networks based on the ecosystem network to extract the ecosystem environment characteristics of OS projects.Finally,we fuse basic project characteristics and environmental project characteristics and construct a Hybrid Structured Prediction Model(HSPM)to predict the OS project survival state.The experimental results show that HSPM significantly improved compared to the traditional prediction model.Our work can substantially assist OS project managers in maintaining their projects’health.It can also provide an essential reference for developers when choosing the right open-source project for their production activities. | Zhifang Liao Fangying Fu Yiqi Zhao Sui Tan Zhiwu Yu Yan Zhang | 2023 | Computer Systems Science & Engineering2023，47，10： | 0 |
| 2 | AraENCODE:A comprehensive epigenomic database of Arabidopsis thaliana显示文摘Dear Editor,Arabidopsis thaliana is an important model organism in plant biology and genetics.The genome of Arabidopsis ecotype Columbia-0 has been sequenced and completely annotated(Cheng et al.,2017),which facilitates the genomics research of plants.Over the past two decades,advances in the gene regulation studies have elucidated a spectrum of epigenetic molecular phenomena,including DNA methylation,histone modification,chromatin accessibility,and chromatin interaction,which collectively form an additional layer of information based on DNA sequence(Law and Jacobsen,2010).The epigenome landscape has been characterized in Arabidopsis as more high-throughput analyses were developed(Zhao et al.,2022).Without a doubt,in-depth studies of gene expression regulation heavily rely on such epigenomic information.However,the utilization of this knowledge poses a challenge for certain groups lacking bioinformatics analysts or adequate computing resources. | Fuming Lai Qiangqiang Fu Liang Xie Yaping Fangi Qiangwei Zhou Guoliang Li | 2023 | Molecular Plant2023，16，7： | 0 |
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