A
Andreas Kortenkamp
Researcher at Brunel University London
Publications - 53
Citations - 358
Andreas Kortenkamp is an academic researcher from Brunel University London. The author has contributed to research in topics: Chemistry & Computer science. The author has an hindex of 9, co-authored 53 publications receiving 358 citations. Previous affiliations of Andreas Kortenkamp include National Engineering Research Center for Nanotechnology.
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Long-term combined effects of tillage and rice cultivation with phosphogypsum or farmyard manure on the concentration of salts, minerals, and heavy metals of saline-sodic paddy fields in Northeast China
Lihua Huang,Lihua Huang,Liu Ying,Andreas Kortenkamp,Jorge F. S. Ferreira,Mingming Wang,Jia Na,Jinxin Huang,Zhengwei Liang +8 more
TL;DR: Wang et al. as mentioned in this paper investigated the combined effects of annual tillage and rice cultivation with either phosphogypsum or farmyard manure on soil salinity, mineral status, and concentration of heavy metals in saline-sodic paddy fields.
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Biogenesis, functions, and clinical implications of circular RNAs in non-small cell lung cancer
TL;DR: In this paper, the authors systematically elucidate the characteristics, biogenesis, and functions of circRNAs and focus on their molecular mechanisms in non-small cell lung cancer (NSCLC) progression.
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Biogenesis, functions, and clinical implications of circular RNAs in non-small cell lung cancer
TL;DR: In this paper , the authors systematically elucidate the characteristics, biogenesis, and functions of circRNAs and focus on their molecular mechanisms in non-small cell lung cancer (NSCLC) progression.
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Long-term combined effects of tillage and rice cultivation with phosphogypsum or farmyard manure on the concentration of salts, minerals, and heavy metals of saline-sodic paddy fields in Northeast China
Lihua Huang,Andreas Kortenkamp +1 more
TL;DR: In this article , the combined effects of annual tillage and rice cultivation with either phosphogypsum or farmyard manure on soil salinity, mineral status, and concentration of heavy metals in saline-sodic paddy fields were investigated.
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Improving graph neural network for session-based recommendation system via non-sequential interactions
TL;DR: In this article, a Graph Neural Network (GNN) based model named GRASER was proposed to learn both the sequential and non-sequential transition interactions between the items in the current session.