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Thorne and colleagues described ID as non-categorical methodology that emerged in response to a call for an alternative way of generating grounded knowledge relating to clinical practice and that aimed at moving qualitative inquiry to a more abstract form of interpretation beyond the level of description [ 33].
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The process of generating ground motion response spectra via analyzing actual ground motion measurements is described in the paper.
The connections exhibited by these three student teachers between theory (principles of pedagogy) and practice (the classroom discourse patterns that characterized their teaching) were interpreted as: (1) understanding how practice fits theory; (2) connecting theory and practice to generate grounded theories of practice; and (3) developing practical theories.
Grounded theory utilises a systematic, inductive research process to generate grounded theory that emerges through constant comparative analysis of qualitative data [ 37, 103].
Then the obtained analytical expressions for vehicle dynamic forces are used for calculations of generated ground vibrations, predominantly Rayleigh surface waves, using Green's function method.
The second contribution of this paper is in presenting a technique for generating ground truth estimates of the original data.
It is a systematic method of comparative analysis and a strategic method of generating theory grounded in data [ 65, 66].
The added flexibility to the system resulted in a substantial increase in energy dissipation, and thereby increasing the overall drift limits before collapsing, causing the wall to withstand extensive levels of shaking under different types and intensities of earthquake generated ground motions.
A large event with Mw greater than 7.8 in this particular subduction zone may be capable of generating destructive ground motions in Singapore and Kuala Lumpur, even at a distance of 700 km.
Although the main study was conducted online, we carried out a pilot study in advance to test and modify the study interface (e.g., autoplay of the sound and phrasing of the questions) and generate ground truth human labels for quality control of the online study (details see the next section).
We evaluated the accuracy of NeuronStitcher using carefully generated "ground truth" reconstructions from a piece of mouse brain tissue containing a labeled pyramidal neuron within the hippocampal CA1 region (Supplement, Section 4.1).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com