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Probabilistic model data of time-dependent accident scenarios for a mixing tank mechanical system.
Mancuso A, Compare M, Salo A, Zio E. Mancuso A, et al. Data Brief. 2019 Jul 8;25:104243. doi: 10.1016/j.dib.2019.104243. eCollection 2019 Aug. Data Brief. 2019. PMID: 31367666 Free PMC article.
This article presents the risk assessment of a mixing tank mechanical system based on the failure probabilities of the components. ...Data refers to the results of the Bayesian model presented in our research article (Mancuso et al., 2019)....
This article presents the risk assessment of a mixing tank mechanical system based on the failure probabilities of the components. .. …
SARS-CoV-2 Mpro responds to oxidation by forming disulfide and NOS/SONOS bonds.
Reinke PYA, Schubert R, Oberthür D, Galchenkova M, Rahmani Mashhour A, Günther S, Chretien A, Round A, Seychell BC, Norton-Baker B, Kim C, Schmidt C, Koua FHM, Tolstikova A, Ewert W, Peña Murillo GE, Mills G, Kirkwood H, Brognaro H, Han H, Koliyadu J, Schulz J, Bielecki J, Lieske J, Maracke J, Knoska J, Lorenzen K, Brings L, Sikorski M, Kloos M, Vakili M, Vagovic P, Middendorf P, de Wijn R, Bean R, Letrun R, Han S, Falke S, Geng T, Sato T, Srinivasan V, Kim Y, Yefanov OM, Gelisio L, Beck T, Doré AS, Mancuso AP, Betzel C, Bajt S, Redecke L, Chapman HN, Meents A, Turk D, Hinrichs W, Lane TJ. Reinke PYA, et al. Among authors: mancuso ap. Nat Commun. 2024 May 7;15(1):3827. doi: 10.1038/s41467-024-48109-3. Nat Commun. 2024. PMID: 38714735 Free PMC article.
731 results