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Learning to Support Derivation of Adaptable Products in Software Product Lines

Journal of Computer and Communications 2020年第4期8卷 114-126页

作者： Anissa Benlarabi Amal Khtira Bouchra El Asri ims team ADMIR Laboratory Rabat IT Center ENSIAS Mohammed V University Rabat Morocco

Software product line engineering is a large scale development paradigm based on mass production. It consists in building a common platform from which a set of products can be derived. Under the constraints of continuous evolution and costs optimization, the derivation process must be able to answer customers’ requirements and provide adequate products in a short time without defects. However, this purpose cannot be achieved if the customer must wait for the change is implemented in the common platform. In this paper, we describe our work which proposes a framework to manage derivation of adaptable products. An adaptable product is obtained by deriving the most similar product from the common platform and changing it to support the new requirements. The aim of the framework is to give quick response to the customers need while the new requirements are being implemented in the common platform. The framework includes tools for processing natural language requirements, computing the similarity between products on the basis of their requirements, and the product adaptation effort measuring.

关键词： Software Product Lines Requirement Similarity Product Derivation Natural Language Processing Semantic Models

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SARS-CoV-2 infection causes immunodeficiency in recovered patients by downregulating CD19 expression in B cells via enhancing B-cell metabolism

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Signal Transduction and Targeted Therapy 2021年第10期6卷 3119-3131页

作者： Yukai Jing Li Luo Ying Chen Lisa S.Westerberg Peng Zhou Zhiping Xu Andres A.Herrada Chan-Sik Park Masato Kubo Heng Mei Yu Hu Pamela Pui-Wah Lee Bing Zheng Zhiwei Sui Wei Xiao Quan Gong Zhongxin Lu Chaohong Liu Department of Medical Laboratory The Central Hospital of WuhanTongji Medical CollegeHuazhong University of Science and TechnologyWuhanPeople's Republic of China Department of Emergency Shanxi Bethune HospitalShanxi Academy of Medical SciencesTongji Shanxi HospitalThird Hospital of Shanxi Medical UniversityTaiyuanPeople's Republic of China Tongji Hospital Tongji Medical CollegeHuazhong University of Science and TechnologyWuhanPeople's Republic of China Department of Pathogen Biology School of Basic MedicineTongji Medical CollegeHuazhong University of Science and TechnologyWuhanPeople's Republic of China Center for Biosafety Mega Science Wuhan Institute of VirologyChinese Academy of SciencesWuhanPeople's Republic of China Department of Microbiology Tumor and Cell Biology Karolinska InstituteStockholmSweden Wuhan Metware Biotechnology Co. LtdWuhanPeople's Republic of China Lymphatic and Inflammation Research Laboratory Facultad de Ciencias de la SaludInstituto de Ciencias BiomOdicasUniversidad Autdnoma de ChileTalcaChile Department of Pathology Asan Medical CenterUniversity of Ulsan College of MedicineSeoulKorea Laboratory for Cytokine Regulation Center for Integrative Medical Science(IMS)RIKEN Yokohama InstituteKanagawaJapan Institute of Hematology Union HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhanPeople's Republic of China Department of Paediatrics and Adolescent Medicine LKS Faculty of MedicineThe University of Hong KongHong KongPeople's Republic of China Department of Immunology School of MedicineYangtze UniversityJingzhouHubei ProvincePeople's Republic of China Clinical Molecular Immunology Center School of MedicineYangtze UniversityJingzhouHubei ProvincePeople's Republic of China Center for Advanced Measurement Science National Institute of MetrologyBeijingPeople's Republic of China Department of Respiratory The First Affiliated Hospital of Yangtze UniversityJingzhouHubei ProvincePeople's Republic of China

The SARS-CoV-2 infection causes severe immune ***,it is unclear if disrupted immune regulation still exists and pertains in recovered COVID-19 *** our study,we have characterized the immunephe no type of B cells from 15 recovered COVID-19 patients,and found that healthy controls and recovered patients had similar B-cell populations before and after BCR stimulation,but the frequencies of PBC in patients were significantly increased when compared to healthy controls before ***,the percentage of unswitched memory B cells was decreased in recovered patients but not changed in healthy controls upon BCR ***,we found that CD19 expression was significantly reduced in almost all the B-cell subsets in recovered ***,the BCR signaling and early B-cell response were disrupted upon BCR ***,we found that the reduced CD19 expression was caused by the dysregulation of cell *** conclusion,we found that SARS-CoV-2 infection causes immunodeficiency in recovered patients by downregulating CD19 expression in B cells via enhandng B-cell metabolism,which may provide a new intervention target to cure COVID-19.

关键词： patients metabolism CD19

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