Simulation of the Alcohol-Slug Process Using the "Cell Model" [PDF]
, 1964 David A. T. Donohue, R.F. Nielsen
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An Analysis for IDH‐Mutant Grade 4 Astrocytoma Based on WHO CNS 5: Implication of Clinical Practice
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Purpose There is ongoing debate regarding the therapeutic approach and prognosis for IDH‐mutant grade 4 astrocytoma, a newly defined subtype of diffuse glioma in the 2021 WHO classification system for central nervous system tumors (WHO CNS 5). The aim of this study was to explore the clinical outcome and prognosticators for newly diagnosed IDH‐
Xianxin Qiu +13 more
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Use of Eight Flux Streams Per Cell in a Two-Dimensional, Three-Phase, Unsteady-State Reservoir Simulation Model [PDF]
, 1968 James E. Garrett, H. C. Osborne
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Computational modelling and simulation for immunotoxicity prediction induced by skin sensitisers. [PDF]
Comput Struct Biotechnol J, 2022 Russo G +6 more
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Which is more appropriate: a multi-perspective comparison between systems dynamics and discrete event simulation [PDF]
, 2008 System Dynamics (SD) and Discrete Event Simulation (DES) are two established simulation tech-niques for simulating the dynamics of a system. Both have been widely used in modelling business de-cisions.
Eldabi, T
core
A digital simulation model of a freeway diamond interchange [PDF]
, 1966 E. Hayes
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Modelling and simulation of waste tire pyrolysis process for recovery of energy and production of valuable chemicals (BTEX). [PDF]
Sci Rep, 2023 Cao Y, Taghvaie Nakhjiri A, Sarkar S.
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Docetaxel population pharmacokinetic modelling and simulation in Chinese cancer patients. [PDF]
Ann Transl Med, 2022 Wei J, Zhang Y, Li Z, Li X, Zhao C.
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Simulation, modelling and development of the metris RCA [PDF]
, 2009 In partnership with Metris UK we discuss the utilisation of modelling and simulation methods in the development of a revolutionary 7-axis Robot CMM Arm (RCA).
Attridge, Alex +7 more
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International Journal of Adaptive Control and Signal Processing, EarlyView.Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez +2 more
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