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Isolation of Tetraprenyltoluquinols from the Brown Alga <i>Sargassum thunbergii</i>
Seo, Youngwan,Park, Ki Eui,Kim, You Ah,Lee, Hee-Jung,Yoo, Jong-Su,Ahn, Jong-Woong,Lee, Burm-Jong The Pharmaceutical Society of Japan 2006 Chemical & pharmaceutical bulletin Vol.54 No.12
<P>Thunbergols A (4) and B (5), tetraprenyltoluquinols, along with three known compounds (1—3) have been isolated from the brown alga <I>Sargassum thunbergii</I>. The structures of these two new compounds were determined to be 9-(3,4-dihydro-2,8-dimethyl-6-hydroxy-2<I>H</I>-1-benzopyran-2-yl)-6-methyl-2-(4-methyl-3-pentenyl)-(2<I>E</I>,6<I>E</I>)-nonadienoic acid (4) and 10-(2,3-dihydro-5-hydroxy-7-methyl-1-benzofuran-2-yl)-10-hydroxy-6-methyl-2-(4-methyl-3-pentenyl)-(2<I>E</I>,6<I>E</I>)-undecadienoic acid (5), respectively, by combined spectroscopic methods. Both of them exhibited significant scavenging activities on radical and potently inhibited generation of ONOO<SUP>−</SUP> from morpholinosydnonimine (SIN-1).</P>
이영완(Youngwan Lee),배유석(Yuseok Bae),이용주(Yong-Ju Lee) 대한전자공학회 2023 대한전자공학회 학술대회 Vol.2023 No.6
Recently, self-supervised learning (SSL) without supervision (i.e., human annotation) in the computer vision domain has drawn huge popularity due to its superior performance than deep supervised learning on downstream tasks such as object detection and segmentation. Thus, it is more likely to use the pretrained models by self-supervised learning than supervised learning. Specifically, as masked language modeling (MLM) in natural language processing (NLP) shows powerful representation in the pre-training phase, masked image modeling (MIM) has emerged in SSL for the computer vision domain. From this context, we try to review recent self-supervised learning algorithms released since 2020 in terms of pre-text tasks, architecture, and backbone network and provide several discussion points.