Application of Tribological Artificial Neural Networks in Machine Elements

Autor: J. Walker, H. Questa, A. Raman, M. Ahmed, M. Mohammadpour, S. R. Bewsher, G. Offner

Publikováno v: Tribology Letters. 71

Traditionally, analytical equations used in tribo-dynamic modelling, such as those used for predicting central film thickness within elastohydrodynamic lubricated contacts, have led to timely computations, but tend to lack the accuracy of numerical s

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1d5c0ebf53ff8a959f1444cc722ecf93
https://doi.org/10.1007/s11249-022-01673-5

Estimating Time to ESRD in Children With CKD

Autor: Susan L. Furth, Chris Pierce, Wun Fung Hui, Colin A. White, Craig S. Wong, Franz Schaefer, Elke Wühl, Alison G. Abraham, Bradley A. Warady, Joshua Samuels, Susan Furth, Meredith Atkinson, Amy Wilson, Alejandro Quiroga, Susan Massengill, Dave Selewski, Maria Ferris, Amy Kogon, Frederick Kaskel, Marc Lande, George Schwartz, Jeffrey Saland, Victoria Norwood, Tej Matoo, Guillermo Hidalgo, Poyyapakkam Srivaths, Joann Carlson, Craig Langman, Susan Mendley, Eunice John, Kiran Upadhyay, Patricia Seo-Mayer, Larry Patterson, Rulan Parekh, Lisa Robinson, Adam Weinstein, Dmitry Samsonov, Juan Kupferman, Jason Misurac, Anil Mongia, Steffan Kiessling, Cheryl Sanchez-Kazi, Allison Dart, Sahar Fathallah, Donna Claes, Mark Mitsnefes, Tom Blydt-Hansen, Bradley Warady, Larry Greenbaum, Joseph Flynn, Craig Wong, Isidro Salusky, Ora Yadin, Katherine Dell, Randall Jenkins, Cynthia Pan, Elaine Ku, Amira Al-Uzri, Nancy Rodig, Cynthia Wong, Keefe Davis, Martin Turman, Sharon Bartosh, Colleen Hastings, Anjali Nayak, Mouin Seikaly, Nadine Benador, Robert Mak, Ellen Wood, Gary Lerner, Gina Marie Barletta, A. Anarat, A. Bakkaloglu, F. Ozaltin, A. Peco-Antic, U. Querfeld, J. Gellermann, P. Sallay, D. Drożdż, K.-E. Bonzel, A.-M. Wingen, A. Żurowska, I. Balasz, A. Trivelli, F. Perfumo, D.E. Müller-Wiefel, K. Möller, G. Offner, B. Enke, E. Wühl, C. Hadtstein, O. Mehls, F. Schaefer, S. Emre, S. Caliskan, S. Mir, S. Wygoda, K. Hohbach-Hohenfellner, N. Jeck, G. Klaus, G. Ardissino, S. Testa, G. Montini, M. Charbit, P. Niaudet, A. Caldas-Afonso, A. Fernandes-Teixeira, J. Dušek, M.C. Matteucci, S. Picca, A. Mastrostefano, M. Wigger, U.B. Berg, G. Celsi, M. Fischbach, J. Terzic, J. Fydryk, T. Urasinski, R. Coppo, L. Peruzzi, K. Arbeiter, A. Jankauskiené, R. Grenda, M. Litwin, R. Janas, T.J. Neuhaus

Publikováno v: American Journal of Kidney Diseases. 71:783-792

RATIONALE & OBJECTIVE: The KDIGO (Kidney Disease: Improving Global Outcomes) guideline on CKD presented an international classification system that ranks patients' risk for CKD progression. Few data on children informed guideline development STUDY DE

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c167be918a9a472595a0db46ca57d606
https://doi.org/10.1053/j.ajkd.2017.12.011

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Influences of system uncertainties on the numerical transfer path analysis of engine systems

Autor: A. Acri, E. Nijman, G. Offner

Practical mechanical systems operate with some degree of uncertainty. In numerical models uncertainties can result from poorly known or variable parameters, from geometrical approximation, from discretization or numerical errors, from uncertain input

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3c29d20dea62ec5801baf38cfc501869
http://hdl.handle.net/11311/1013984