Abstract We present a novel method for the solution of the diÆusion equation on a composite AMR mesh. This approach is suitable for including diÆusion based physics modules to hydrocodes that support ALE and AMR capabilities. To illustrate, we proÆer our implementations of diÆusion based radiation transport and heat conduction in a hydrocode called ALE-AMR. Numerical experiments conducted with ...

This report investigates the feasibility of applying Adaptive Mesh Refinement (AMR) techniques to a vector finite element formulation for the wave equation in three dimensions. Possible error estimators are considered first. Next, approaches for refining tetrahedral elements are reviewed. AMR capabilities within the Nevada framework are then evaluated. We summarize our conclusions on the feasib...

Spring Simulation Multi-Conference 2016 April 3-6, Pasadena, CA, USA c ©2016 Society for Modeling & Simulation International (SCS) ABSTRACT Query-driven analytics on scientific datasets is one of fundamental approaches for scientific discoveries. Existing studies have explored query-driven analytics on uniform resolution meshes. However, querying on adaptive mesh refinement (AMR) data has not b...

We report detection of nuclear magnetic resonance (NMR) using an anisotropic magnetoresistive (AMR) sensor. A “remote-detection” arrangement was used, in which protons in flowing water were pre-polarized in the field of a superconducting NMR magnet, adiabatically inverted, and subsequently detected with an AMR sensor situated downstream from the magnet and the adiabatic inverter. AMR sensing is...

OBJECTIVES 1) To characterize and determine genotypic relatedness of Salmonella serovars commonly isolated from domestic animals and humans in North Dakota, and 2) to assess their role in transferring antimicrobial resistance (AMR) to humans. MATERIALS AND METHODS A total of 434 Salmonella isolates obtained from 1) feces of apparently healthy feedlot, range, and dairy cattle in North Dakota; ...

OBJECTIVES Antimicrobial resistance (AMR) is a global political and patient safety issue. With ongoing strategic interventions to improve the shape of UK postgraduate clinical training, ensuring that all clinicians have appropriate knowledge and practical skills in the area of AMR is essential. To assess this, a cross-sectional analysis was undertaken of the coverage and quality of antimicrobia...

As alignment links are not given between English sentences and Abstract Meaning Representation (AMR) graphs in the AMR annotation, automatic alignment becomes indispensable for training an AMR parser. Previous studies formalize it as a string-to-string problem, and solve it in an unsupervised way. In this paper, we formalize it as a syntax-based alignment problem, and solve it in a supervised m...

We present a system which parses sentences into Abstract Meaning Representations, improving state-of-the-art results for this task by more than 5%. AMR graphs represent semantic content using linguistic properties such as semantic roles, coreference, negation, and more. The AMR parser does not rely on a syntactic preparse, or heavily engineered features, and uses five recurrent neural networks ...

Computational study of the macroscopic stability of plasmas is a challenging multi-scale problem. Implicit time integration can be used to relieve stability constraints due to fast Alfvén waves, and adaptive mesh refinement (AMR) can be used to resolve highly localized solution features. The strong nonlinearities and numerical stiffness of magnetohydrodynamics (MHD) models present further chall...

We report improved AMR parsing results by adding a new action to a transitionbased AMR parser to infer abstract concepts and by incorporating richer features produced by auxiliary analyzers such as a semantic role labeler and a coreference resolver. We report final AMR parsing results that show an improvement of 7% absolute in F1 score over the best previously reported result. Our parser is ava...