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Three different methodologies for characterizing fatigue crack closure are compared using constant amplitude fatigue crack growth simulations.
To develop and implement methodologies for characterizing accelerometry-derived patterns of physical activity (PA) in the United States in relation to demographics, anthropometrics, behaviors, and comorbidities using the National Health and Nutrition Examination Survey NHANESS) dataset.
METHODOLOGIES for characterizing genomes and genotypes are more advanced in terms of their degree of automation and throughput than their phenotype counterparts.
Spatial saturation monitoring and land use regression (LUR) modeling are standard exposure assessment methodologies for characterizing intra-urban variability in air pollution concentrations [ 1, 4- 6, 11] and pollution source apportionment [ 15].
In response, several promising methodologies for characterizing multiple pollutants and examining multipollutant health risks appear in the environmental epidemiology literature [ 8– 12]; however, a recent review by Oakes, Baxter et al. (2014) notes that there is no gold standard for multipollutant exposure characterization or health effects estimation and that much remains to be learned [ 7].
We also clarified that the model is an extension of previous work used to analyze the specificity of a TF's interactions with DNA (please see the subsections headed "Epistasis across a molecular interface: transcription factors and DNA response elements" and "Methodologies for characterizing epistasis in combined sequence space").
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The possibility of using the methodology for characterizing any-shaped plates was investigated.
An efficient methodology for characterizing the sensitivity responses of various electrode pairs is developed.
A research paper by students at UCSD states that eye tracking technology holds promise as an objective methodology for characterizing the early features of autism, because it can be implemented with virtually any age or functioning level.
This results in a complete methodology for characterizing the reorientation evolution of different fibered biological structures, such as cells.
This indentation method has been shown to offer a new methodology for characterizing some properties of piezoelectric materials.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com