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  • Article(id=1159831169997004914, tenantId=1045748351789510663, journalId=1155139928190095384, issueId=0, articleNumber=null, orderNo=0, doi=10.1016/J.ENG.2017.02.009, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=2, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=null, receivedDateStr=null, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1490112000000, onlineDateStr=2017-03-22, pubDate=null, pubDateStr=null, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=null, onlineIssueDateStr=null, onlineJustAcceptDate=1490112000000, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1754454899548, creator=sys-migrate, updateTime=1754454899548, updator=sys-migrate, issue=null, startPage=0, endPage=, ext={EN=ArticleExt(id=1159831174665265275, articleId=1159831169997004914, tenantId=1045748351789510663, journalId=1155139928190095384, language=EN, title=A Framework of Simulation and Optimization of Polymerization Processes with Molecular Weight Distributions: The State of the Art and Future Directions, columnId=null, journalTitle=Engineering, columnName=null, runingTitle=null, highlight=null, articleAbstract=null, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=I4DNXJRJ8pWeqpWx/Ec2eA==, pdfFileSize=1399262, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null)}, authors=[], keywords=null, refs=null, funds=null, companyList=null, figs=null, attaches=null, journal=null, detailUrlCn=null, detailUrlEn=null, pdfUrlCn=null, pdfUrlEn=null, aliStartDate=null, aliEndDate=null, citedCount=null, citedUrl=null) A Framework of Simulation and Optimization of Polymerization Processes with Molecular Weight Distributions: The State of the Art and Future Directions
  • Article(id=1159966365635371916, tenantId=1045748351789510663, journalId=1155139928190095384, issueId=0, articleNumber=null, orderNo=null, doi=10.1016/j.eng.2022.02.005, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=2, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=null, receivedDateStr=null, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1718294400000, onlineDateStr=2024-06-14, pubDate=null, pubDateStr=null, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=null, onlineIssueDateStr=null, onlineJustAcceptDate=1718294400000, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1754487132698, creator=sys-migrate, updateTime=1754487132698, updator=sys-migrate, issue=null, startPage=0, endPage=0, ext={EN=ArticleExt(id=1159966376267932572, articleId=1159966365635371916, tenantId=1045748351789510663, journalId=1155139928190095384, language=EN, title=Corrigendum to “Research on DC protection strategy in multi-terminal hybrid HVDC system”, columnId=1159825457464009187, journalTitle=Engineering, columnName=Research, runingTitle=null, highlight=null, articleAbstract=

    Available online 25 February 2022Corrigendum to “Research on DC protection strategy in multi-terminal hybrid HVDC system”© 2022 THE AUTHORS.Published by Elsevier LTD on behalf of Chinese Academy of Engineering and Higher Education Press Limited Company

    , correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null)}, authors=[], keywords=null, refs=null, funds=null, companyList=null, figs=null, attaches=null, journal=null, detailUrlCn=null, detailUrlEn=null, pdfUrlCn=null, pdfUrlEn=null, aliStartDate=null, aliEndDate=null, citedCount=null, citedUrl=null)
    Corrigendum to “Research on DC protection strategy in multi-terminal hybrid HVDC system”
  • Article(id=1159973874668462885, tenantId=1045748351789510663, journalId=1155139928190095384, issueId=0, articleNumber=null, orderNo=null, doi=10.1016/j.eng.2023.11.021, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=2, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1718294400000, receivedDateStr=2024-06-14, revisedDate=1698336000000, revisedDateStr=2023-10-27, acceptedDate=null, acceptedDateStr=null, onlineDate=1700323200000, onlineDateStr=2023-11-19, pubDate=null, pubDateStr=null, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=null, onlineIssueDateStr=null, onlineJustAcceptDate=1718294400000, onlineJustAcceptDateStr=null, onlineFirstDate=1700323200000, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1754488922992, creator=sys-migrate, updateTime=1758265781357, updator=13911312376, issue=null, startPage=0, endPage=0, ext={EN=ArticleExt(id=1159973882239181626, articleId=1159973874668462885, tenantId=1045748351789510663, journalId=1155139928190095384, language=EN, title=An Implantable and Self-Powered Sensing System for the In Vivo Monitoring of Dynamic H2O2 Level in Plants, columnId=1159825457464009187, journalTitle=Engineering, columnName=Research, runingTitle=null, highlight=null, articleAbstract=The real-time monitoring of hydrogen peroxide (H2O2) is significant for understanding the working mechanism of signal molecules, breeding for stress tolerance, and diagnosing plant health. However, it remains a challenge to realize real-time monitoring of the dynamic H2O2 level in plants. Here, we report an implantable and self-powered sensing system for the continuous monitoring of H2O2 level in plants. A photovoltaic (PV) module is integrated into a sensing system to collect sunlight or artificial light in the planting environment in order to continuously power an implantable microsensor. The transmission process of the H2O2 signal was monitored and analyzed in vivo, and the time and concentration specificity of the H2O2 signal for abiotic stress were resolved. This implantable system provides a promising analysis tool for key signal molecules in plants and might be extended to the real-time monitoring of signaling molecules in other crops., correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null), CN=ArticleExt(id=1159973877247959860, articleId=1159973874668462885, tenantId=1045748351789510663, journalId=1155139928190095384, language=CN, title=An Implantable and Self-Powered Sensing System for the In Vivo Monitoring of Dynamic H2O2 Level in Plants, columnId=1159825452397289951, journalTitle=Engineering, columnName=研究论文, runingTitle=null, highlight=null, articleAbstract=The real-time monitoring of hydrogen peroxide (H2O2) is significant for understanding the working mechanism of signal molecules, breeding for stress tolerance, and diagnosing plant health. However, it remains a challenge to realize real-time monitoring of the dynamic H2O2 level in plants. Here, we report an implantable and self-powered sensing system for the continuous monitoring of H2O2 level in plants. A photovoltaic (PV) module is integrated into a sensing system to collect sunlight or artificial light in the planting environment in order to continuously power an implantable microsensor. The transmission process of the H2O2 signal was monitored and analyzed in vivo, and the time and concentration specificity of the H2O2 signal for abiotic stress were resolved. This implantable system provides a promising analysis tool for key signal molecules in plants and might be extended to the real-time monitoring of signaling molecules in other crops., correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null)}, authors=[], keywords=null, refs=null, funds=null, companyList=null, figs=null, attaches=null, journal=null, detailUrlCn=null, detailUrlEn=null, pdfUrlCn=null, pdfUrlEn=null, aliStartDate=null, aliEndDate=null, citedCount=null, citedUrl=null) An Implantable and Self-Powered Sensing System for the In Vivo Monitoring of Dynamic H2O2 Level in Plants

当期目录

2025年, 52卷, 第9期  
刊出日期:2025-09-29
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