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Automated electron backscatter diffraction (EBSD) pattern analysis has been used to evaluate the textures just below the outermost tensile and compressive surfaces and at the neutral plane.
Landscape pattern indices or landscape metrics, an important means in landscape pattern analysis, has resulted in the prosperity of landscape ecology.
These data suggest that ITS rDNA TRF pattern analysis has great potential as a rapid and specific method for fungal community analysis and species identification.
The analytical tool of statistical pattern analysis has been experimentally validated on a special-purpose test apparatus that is equipped with ultrasonic flaw detection sensors and a travelling optical microscope.
A need to adopt a policy-sensitive approach to modelling travel behaviour based on activity pattern analysis has been recognised and the theoretical framework by which to recognise the wide range of interdependencies associated with an individual's travel decisions in a constrained environment has subsequently evolved.
Meal pattern analysis has further indicated that the increased food intake presented by metabolic programmed rats is due to a delay appearance of satiety, an increase in meal size and a reduced latency to eat [15].
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The insurgents, conducting "pattern analysis," had noticed this.
The obtained strain values from Laue pattern analysis have been used to calculate the deviatoric stress tensor.
(6) Learning behavior and learning pattern analysis: Having an in-depth understanding of learners' behaviors and learning patterns in the integrated real-world and virtual-world environments is helpful to researchers and educators in developing more effective learning tools and strategies.
Recent fMRI evidence suggest that V1 neurons are also recruited in visual perceptual memory; a number of studies using multi-voxel pattern analysis have successfully decoded stimulus-specific information from V1 activity patterns during the delay phase in memory tasks.
Kernel Methods, a powerful class of methods for pattern analysis, have become a standard tool in data analysis, computational statistics and machine learning applications due to their reliability, accuracy and computational efficiency [26].
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