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Trends in the Diels-Alder reaction in polymer chemistry
REVERSIBLE CLICK CHEMISTRY FREE-RADICAL POLYMERIZATION CROSS-LINKED POLYAMIDES HIGH-PERFORMANCE ACRYLIC-ACID ROOM-TEMPERATURE MALEIC-ANHYDRIDE LEVOPIMARIC ACID BUILDING-BLOCK MUCONIC ACID
2023/12/4
The Diels-Alder (DA) reaction is regarded as quite a useful strategy in organic and macromolecular syntheses. The reversibility of this reaction and the advent of self-repair technology, as well as ot...
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近日,北京林业大学材料科学与技术学院宋国勇教授团队在化学顶级期刊《Trends in Chemistry》(IF=22.448)发表了题为“The temptation from homogeneous linear catechyl lignin”的综述论文。文章报道了近十年来C-木质素研究领域的最新成果。
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中山大学环境科学与工程学院汪善全团队在Trends in Biotechnology期刊发表关于土壤中有机污染物修复重要综述文章(图)
中山大学环境科学与工程学院 汪善全 Trends in Biotechnology 土壤 有机污染物 修复
2022/5/30
扬州大学机械工程学院博士生徐金勇在《Trends in Food Science & Technology》发表综述论文
扬州大学机械工程学院 徐金勇 Trends in Food Science & Technology 电子鼻技术 稻米陈化
2022/2/18
扬州大学机械工程学院农业工程专业2020级博士研究生徐金勇同学在食品领域国际顶级期刊《Trends in Food Science & Technology》(IF 12.563)的2021年第109卷上发表了题为“Electronic nose for volatile organic compounds analysis in rice aging”的综述论文,该论文系统阐述了电子鼻技术在稻米...
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南京农业大学国家肉品质量安全控制工程技术研究中心团队连发2篇《Trends in Food Science & Technology》顶刊综述(图)
南京农业大学 国家肉品质量安全控制工程技术研究中心 Trends in Food Science & Technology
2021/5/14
2021年4月以来,我校国家肉品质量安全控制工程技术研究中心(以下称国家肉品中心)团队人员在《Trends in Food Science & Technology》连续发表2篇综述文章。《Trends Food Sci Technol》是国际评论的主要期刊之一,主要发表对当前食品技术、食品科学和人类营养学的评论文章。
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相对纯菌株而言,微生物聚集体具有更高抵抗力、恢复力和功能冗余性,表面黏附多种矿质,还能产生多种形态的胞外聚合物,这些群落特征和表面属性在抵抗环境胁迫和提高磷的捕获能力等方面展现了巨大的优势和潜力。在应Cell Press旗下期刊Trends in Biotechnology邀请撰写关于微生物聚集体抵抗纳米颗粒毒性综述文章后,近日,南京土壤研究所吴永红团队再次应邀发表了题为“Using Microb...
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近日,山东大学环境科学与工程学院裴海燕教授课题组在《Trends in Biotechnology》(IF5=13.38,属于Cell出版社,是生物技术领域权威刊物)发表前瞻性论文《Mixing Seawater with a Little Wastewater to Produce Bioenergy from Limnetic Algae》,提出将海水与废水结合培养淡水微藻的新方法。论文第一作...
2018年SPIE光学数据科学会议(SPIE Optical Data Science:Trends Shaping the Future of Photonics)
2018年 SPIE 光学数据科学 会议
2017/10/27
2018年SPIE光学数据科学会议(SPIE Optical Data Science:Trends Shaping the Future of Photonics)。
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近日,我校化学化工与生命科学学院学科首席教授、国家“青年千人计划”张甜教授受邀在国际著名学术杂志《细胞》(Cell)旗下子刊《Trends in Biotechnology》(SCI 2016 IF=11.126),以“Extracellular Electron Uptake: Among Autotrophs and Mediated by Surfaces”为题发表综述文章,系统探讨了自养微...
第二届图像恢复和增强新趋势研讨会(2nd NTIRE: New Trends in Image Restoration and Enhancement workshop and challenge on super-resolution)
第二届 图像恢复和增强新趋势 研讨会
2017/6/22
Image restoration and image enhancement are key computer vision tasks, aiming at the restoration of degraded image content or the filling in of missing information. Recent years have witnessed an incr...
2017 EAI 智能系统新兴趋势国际会议(EAI International Conference On Emerging Trends In Intelligent Systems)
2017 EAI 智能系统 新兴趋势 国际会议
2017/5/23
The present invention is directed to a secure communication network that enables multi-point to multi-point proxy communication over the network. The network employs a smart server that establishes a ...
2017第二届IEEE电子,信息与通信技术最新趋势国际会议(2017 2nd IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology)(RTEICT)
第二届 IEEE电子 信息与通信技术 会议
2017/3/30
2nd IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT - 2017) will be held in the green city of India - Bengaluru from 19-20 May 2017 and wi...
20175G网络主流趋势国际研讨会(International Workshop on the Main Trends in 5G Networks)(MT5Gnet)
5G网络主流趋势 研讨会
2017/3/30
Given the ever increasing traffic demand and required quality of service, current wireless access networks will soon arrive to their limit. For this reason, it is foreseen that the commercial deployme...
第8届软件度量新趋势国际研讨会(8th International Workshop on Emerging Trends in Software Metrics)
第8届 软件度量新趋势 国际研讨会
2017/3/29
The International Workshop on Emerging Trends in Software Metrics, aims at gathering together researchers and practitioners to discuss the progress of software metrics. The motivation for this worksho...
第二届国际主动学习研讨会(2nd International Workshop on Active Learning: Applications, Foundations and Emerging Trends)
第二届国际 主动学习 研讨会
2017/3/21
Science, technology, and commerce increasingly recognize the importance of machine learning approaches for data-intensive, evidence based decision making.