Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Gintaras Reklaitis"'
Publikováno v:
Chemical Engineering Transactions, Vol 74 (2019)
This contribution investigates the impact of model uncertainty quantification techniques in different areas of process systems engineering (PSE), namely dynamic optimization, predictive maintenance, soft-sensor systems and risk assessment, using thre
Externí odkaz:
https://doaj.org/article/67d66eb8bd394b42aa93bea554fdd2eb
Autor:
Devaraj Jayachandran, José Laínez-Aguirre, Ann Rundell, Terry Vik, Robert Hannemann, Gintaras Reklaitis, Doraiswami Ramkrishna
Publikováno v:
PLoS ONE, Vol 10, Iss 7, p e0133244 (2015)
6-Mercaptopurine (6-MP) is one of the key drugs in the treatment of many pediatric cancers, auto immune diseases and inflammatory bowel disease. 6-MP is a prodrug, converted to an active metabolite 6-thioguanine nucleotide (6-TGN) through enzymatic r
Externí odkaz:
https://doaj.org/article/336c7cb46eb047bbaae3a53985e7944f
Publikováno v:
Chemical Engineering Science. 275:118591
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6c50729676e2b6033aa35f90571b2643
https://doi.org/10.1016/j.ces.2023.118591
https://doi.org/10.1016/j.ces.2023.118591
Autor:
Qing Cai, Linas Mockus, David LeBlond, Xu Sun, Hui Wei, Harsh S. Shah, Kaushalendra Chaturvedi, Rusha Sardhara, Kajalajit Nahar, Rania Khalil, Amit Sharma, Dave Rutesh, Girish Joglekar, Gintaras Reklaitis, Kenneth Morris
Publikováno v:
International Journal of Pharmaceutics. 624:122037
The determination of the variability of critical dosage form attributes has been a challenge in establishing the quality of pharmaceutical products. During the development process knowledge is minimal. Consequently, ad hoc statistical tools such as h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3e9a44267944b8f47f977b132101e9a1
https://doi.org/10.1016/j.ijpharm.2022.122037
https://doi.org/10.1016/j.ijpharm.2022.122037
Autor:
Jared Allison, Andrew Allman, Jeffrey E. Arbogast, Michael Baldea, Joseph Beaman, Wassim Benhallam, Apratim Bhattacharya, Rolf Bienert, David Castiñeira, Panagiotis D. Christofides, Chris Damsgard, Prodromos Daoutidis, Hamed Darabi, Cyril Defaye, Michael F. Drenski, Thomas F. Edgar, Sudarshan Ganesh, Ajit Gopalakrishnan, Michael C. Grady, Athanasios Kontopoulos, Cliff P. Kowall, Ankur Kumar, Jose M. Laínez-Aguirre, Irene Lotero, Tarun Madan, Zoltan Nagy, Matthew J. Palys, Timothy Phillips, Jose M. Pinto, Sivaraman Ramaswamy, Alex W. Reed, Wayne F. Reed, Gintaras Reklaitis, Thierry Roba, Tariq Samad, Carolyn Seepersad, Masoud Soroush, Qinglin Su, Karthik Thyagarajan, Alan Weber, Jim Wetzel, Aide Wu, Zhe Wu, Xiang Zhai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4f539448481cd5e3fddde3125a260574
https://doi.org/10.1016/b978-0-12-820028-5.09991-4
https://doi.org/10.1016/b978-0-12-820028-5.09991-4
Bayesian decision theory is known to provide an effective framework for the practical solution of discrete and nonconvex optimization problems. This book is the first to demonstrate that this framework is also well suited for the exploitation of heur
Publikováno v:
Nonconvex Optimization and Its Applications ISBN: 9781441947673
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b08f3940417f4179ca4abd2c9d70ab8c
https://doi.org/10.1007/978-1-4757-2627-5
https://doi.org/10.1007/978-1-4757-2627-5