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Akademický článek

FT-NIR combined with machine learning was used to rapidly detect the adulteration of pericarpium citri reticulatae (chenpi) and predict the adulteration concentration

Autor: Ying Chen, Si Li, Jia Jia, Chuanduo Sun, Enzhong Cui, Yunyan Xu, Fangchao Shi, Anfu Tang

Publikováno v: Food Chemistry: X, Vol 24, Iss , Pp 101798- (2024)

Pericarpium citri reticulatae (PCR) has been used as a food and spice for many years and is known for its rich nutritional content and unique aroma. However, price increases are often accompanied by adulteration. In this study, two kinds of adulteran

Externí odkaz: https://doaj.org/article/d5c2700bfc774ce8b4ac98ce9f4de7ff

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Do syntactic trees enhance Bidirectional Encoder Representations from Transformers (BERT) models for chemical–drug relation extraction?

Autor: Anfu, Tang, Louise, Deléger, Robert, Bossy, Pierre, Zweigenbaum, Claire, Nédellec

Publikováno v: Database-The journal of Biological Databases and Curation
Database-The journal of Biological Databases and Curation, 2022, 2022, ⟨10.1093/database/baac070⟩

Collecting relations between chemicals and drugs is crucial in biomedical research. The pre-trained transformer model, e.g. Bidirectional Encoder Representations from Transformers (BERT), is shown to have limitations on biomedical texts; more specifi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::afaff2e1f86fb8ddb7772590443dc868
https://hal.science/hal-03799268

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Natural skin-whitening compounds for the treatment of melanogenesis (Review)

Autor: Guangming Gong, Yanli Cao, Wenya Liu, Anfu Tang, Wenhui Qian, Hua Su, Dong Zhu

Publikováno v: Experimental and Therapeutic Medicine

Melanogenesis is the process for the production of melanin, which is the primary cause of human skin pigmentation. Skin-whitening agents are commercially available for those who wish to have a lighter skin complexions. To date, although numerous natu

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::911c54808609c2f3095c3169ededae4c
https://pubmed.ncbi.nlm.nih.gov/32509007

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Global alignment for relation extraction in Microbiology

Autor: Anfu Tang, Claire Nédellec, Pierre Zweigenbaum, Louise Deléger, Robert Bossy

Publikováno v: HAL
Junior Conference on Data Science and Engineering
Junior Conference on Data Science and Engineering, Feb 2021, Orsay, France

National audience; We investigate a method to extract relations from texts based on global alignment and syntactic information. Combined with SVM, this method is shown to have a performance comparable or even better than LSTM on two RE tasks.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8130fc95611457e8aa5d98b2e7565ca2
https://hal.archives-ouvertes.fr/hal-03447763

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