Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Laila Alhussain"'
Autor:
Sarah Alhumoud, Asma Al Wazrah, Laila Alhussain, Lama Alrushud, Atheer Aldosari, Reema Nasser Altammami, Njood Almukirsh, Hind Alharbi, Wejdan Alshahrani
Publikováno v:
PeerJ Computer Science, Vol 9, p e1507 (2023)
COVID-19 has become a global pandemic that has affected not only the health sector but also economic, social, and psychological well-being. Individuals are using social media platforms to communicate their feelings and sentiments about the pandemic.
Externí odkaz:
https://doaj.org/article/006fad8cdc074525991eb29a27039e69
Autor:
Adeeb Hayyan, Wan Jefrey Basirun, Muhammad Zulhaziman Mat Salleh, Mohamad Hamdi Zainal-Abidin, Waleed Al Abdulmonem, Rana Abdullah Alghamdi, Laila Alhussain, Abdullah S.M. Aljohani, M.Y. Zulkifli, Boey Min-Wei, Jehad Saleh, Fathiah M. Zuki, Mohamed E.S. Mirghani
Publikováno v:
Catalysis Communications, Vol 183, Iss , Pp 106749- (2023)
In this study, imidazole was used for the first time in esterification of free fatty acid (FFA) from acidic oil and for palmitic acid imidazole production. The FFA content in jatropha oil mixed with crude palm oil (CPO) was significantly reduced from
Externí odkaz:
https://doaj.org/article/34921caeceb14807a42df1356626007d
Autor:
Muhammad Tahir ul Qamar, Xi-Tong Zhu, Ling-Ling Chen, Laila Alhussain, Maha A. Alshiekheid, Abdulrahman Theyab, Mohammad Algahtani
Publikováno v:
International Journal of Molecular Sciences; Volume 23; Issue 19; Pages: 11003
Leveraging machine learning has been shown to improve the accuracy of structure-based virtual screening. Furthermore, a tremendous amount of empirical data is publicly available, which further enhances the performance of the machine learning approach
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7b7b01e923bda71628c771b93bd22e60
https://pubmed.ncbi.nlm.nih.gov/36232307
https://pubmed.ncbi.nlm.nih.gov/36232307