TREATMENT OF HIGH-OUTPUT CARDIAC FAILURE SECONDARY TO ANEMIA IN THREE CATS


Implementation and Evaluation of a Machine Learned Mesoscale Eddy Parameterization Into a Numerical Ocean Circulation Model

Abstract We address the question of how to use a machine learned (ML) parameterization in a general circulation model (GCM), and assess its performance both computationally and physically.We take one particular ML parameterization (Guillaumin & Zanna, 2021, https://doi.org/10.1002/essoar.10506419.1) and evaluate the online performance in a differen

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Space–time prisms in multimodal supernetwork - Part 2: Application for analyses of accessibility and equalitySignificance

Space–time prism (STP) is a fundamental VITAMIN K-2 concept in time geography and has been predominately constructed in unimodal transportation networks.Due to the vast trip chaining options by private vehicles and public transportation, it was challenging to construct STP over multimodal transportation networks.We previously put forward an effic

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