2005
DOI: 10.2172/920811
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ALEGRA-MHD : version 4.6

Abstract: ALEGRA is an arbitrary Lagrangian-Eulerian finite element code that emphasizes large distortion and shock propagation in inviscid fluids and solids. This document describes user options for modeling resistive magnetohydrodynamic, thermal conduction, and radiation emission effects. 3 AcknowledgmentThe authors wish to acknowledge the contributions of Kent Budge to early draft versions of this manual and associated algorithms in the areas of thermal conduction, emission and opacity modeling.Pavel Bochev has made … Show more

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Cited by 8 publications
(8 citation statements)
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“…Correlation figures were created using a Python 3.4 script adapted from that used by Bernaldo de Quiros and co-workers [19]. If the required data were only represented graphically in an article, the quantitative results were obtained from the graph using Webplotdigitizer [20].…”
Section: Critical Appraisalmentioning
confidence: 99%
See 1 more Smart Citation
“…Correlation figures were created using a Python 3.4 script adapted from that used by Bernaldo de Quiros and co-workers [19]. If the required data were only represented graphically in an article, the quantitative results were obtained from the graph using Webplotdigitizer [20].…”
Section: Critical Appraisalmentioning
confidence: 99%
“…A total of 85 sub-studies focused on healthy participants and 31 on a patient population. Population size varied between 4 and 160 participants (median [IQR]: 12 [10][11][12][13][14][15][16][17][18][19][20][21]). All but one sub-study investigated continuous wave NIRS.…”
Section: General Characteristicsmentioning
confidence: 99%
“…26 We digitized the time series of empirical biokinetics data by using WebPlotDigitizer Ver 4.6. 27 Some data were shown as the mean value at each time point, others were in replicates. We only considered the biokinetics data containing both uptake and depuration phases for adult organisms.…”
Section: Methodsmentioning
confidence: 99%
“…Most ammonia synthesis data are in the form of images in the literature. Hence, a plot digitizing freeware, 'Web Plot Digitizer' 36 was used to convert the graphical data into numerical data. Tabular data were extracted manually from the publications instead of using natural language processing techniques.…”
Section: Data Mining and Selectionmentioning
confidence: 99%