Zobrazeno 1 - 10
of 195
pro vyhledávání: '"Khang, Tran"'
Autor:
Thi-Minh-Ly Vo, Trong-Nam Tran, Trung-Kien Nguyen, Thi-Hanh Nguyen, Thi-Yen-Nhi Pham, Thien-Bao Huynh, Le-Minh-Khang Tran, Dang-Khoa Pham, Quoc-Cuong Nguyen, Quang-Khoi Nguyen
Publikováno v:
Journal of Innovations in Business and Industry, Vol 2, Iss 3, Pp 185-192 (2024)
We have developed an efficient optical model for simulating the white light spectrum design with high color performance. The optical model began with experimental data collection, simulation with the mathematical model using Gaussian functions, and v
Externí odkaz:
https://doaj.org/article/cfc7a47f53b8438bae4b63302141cf1d
Autor:
Duyen Thi My Huynh, Linh My Le, Lam Thanh Nguyen, Trung Ho Nhan Nguyen, Minh Hoang Nguyen, Khang Tran Vinh Nguyen, Khanh Quoc Tran, Trung Le Quoc Tran, Minh-Ngoc Thi Le, Huynh Nhu Mai
Publikováno v:
Pharmacia, Vol 71, Iss , Pp 1-14 (2024)
Mangiferin is a xanthonoid found in Mango leaves in abundance with many effects as a hypoglycemic, antioxidant, and anti-inflammatory agent, plant metabolite, and so on. However, nowadays, mango leaves are merely a waste product in Vietnam. To take a
Externí odkaz:
https://doaj.org/article/863d1a965fa64c478d5184ab1899a59a
Autor:
Vy-Khang Tran1, Bao-Toan Thai1, Hai Pham1,2, Van-Khan Nguyen3, Van-Khanh Nguyen1 vankhanh@ctu.edu.vn
Publikováno v:
Journal of Engineering & Technological Sciences. 2024, Vol. 56 Issue 4, p474-488. 15p.
Autor:
Abdurrahman Bilican, Priyanka Sharma, Nguyen Khang Tran, Claudia Weidenthaler, Wolfgang Schmidt
Publikováno v:
ACS Omega, Vol 8, Iss 48, Pp 45599-45605 (2023)
Externí odkaz:
https://doaj.org/article/1b7dacd6075c4fbda54818d92f562bc2
Akademický článek
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Akademický článek
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Publikováno v:
Marine Drugs, Vol 22, Iss 1, p 42 (2024)
Brown seaweed is a promising source of polysaccharides and phenolics with industrial utility. This work reports the development of a green enzyme-assisted extraction method for simultaneously extracting polysaccharides and phenolics from the brown se
Externí odkaz:
https://doaj.org/article/6b8d8a3679604e4d8600794188b06821
Publikováno v:
IJAIN (International Journal of Advances in Intelligent Informatics), Vol 8, Iss 1, Pp 21-32 (2022)
There are various types of multi-attribute decision-making (MADM) problems in our daily lives and decision-making problems under uncertain environments with vague and imprecise information involved. Therefore, linguistic multi-attribute decision-maki
Externí odkaz:
https://doaj.org/article/30811928584d4f84b4a72214b1d3c3a4
Autor:
Lu, Qianjin, Long, Hai, Chow, Steven, Hidayat, Syarief, Danarti, Retno, Listiawan, Yulianto, Deng, Danqi, Guo, Qing, Fang, Hong, Tao, Juan, Zhao, Ming, Xiang, Leihong, Che, Nan, Li, Fen, Zhao, Hongjun, Lau, Chak Sing, Ip, Fong Cheng, Ho, King Man, Paliza, Arnelfa C., Vicheth, Chan, Godse, Kiran, Cho, Soyun, Seow, Chew Swee, Miyachi, Yoshiki, Khang, Tran Hau, Ungpakorn, Rataporn, Galadari, Hassan, Shah, Rashmikant, Yang, Kehu, Zhou, Youwen, Selmi, Carlo, Sawalha, Amr H., Zhang, Xuan, Chen, Yaolong, Lin, Chrang-Shi
Publikováno v:
In Journal of Autoimmunity September 2021 123
Autor:
Kirill V. Kalnin, Timothy Plitnik, Michael Kishko, Jinrong Zhang, Donghui Zhang, Adrien Beauvais, Natalie G. Anosova, Tim Tibbitts, Josh DiNapoli, Gregory Ulinski, Peter Piepenhagen, Sheila M. Cummings, Dinesh S. Bangari, Susan Ryan, Po-Wei D. Huang, James Huleatt, Deanne Vincent, Katherine Fries, Shrirang Karve, Rebecca Goldman, Hardip Gopani, Anusha Dias, Khang Tran, Minnie Zacharia, Xiaobo Gu, Lianne Boeglin, Jonathan Abysalh, Jorel Vargas, Angela Beaulieu, Monic Shah, Travis Jeannotte, Kimberly Gillis, Sudha Chivukula, Ron Swearingen, Victoria Landolfi, Tong-Ming Fu, Frank DeRosa, Danilo Casimiro
Publikováno v:
npj Vaccines, Vol 6, Iss 1, Pp 1-12 (2021)
Abstract Emergency use authorization of COVID vaccines has brought hope to mitigate pandemic of coronavirus disease 2019 (COVID-19). However, there remains a need for additional effective vaccines to meet the global demand and address the potential n
Externí odkaz:
https://doaj.org/article/9fae835e0be047258ae7c50814033e8c