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The meaning of these data is discussed for toddlers and infants with ASD.
Further research to reduce the efforts of manual editing and landmarking of 3D body scan data is discussed for efficient application of the 3D-ASAS to the design process of various wearable products.
In this section, effect of the pore structure on relative permeability data is discussed for gas oil immiscible displacement.
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Use of SAT derived data are discussed for: (i) estimating fluxes, advection, and the WPL term, (ii) comparison of data from multiple SATs in an individual study, and (iii) temporal and spatial scaling or comparisons of flux estimates that were derived from different model SATs.
Due to less-robust data in Asian Americans, clinical data are discussed for non-American Asian cohorts.
The biases and other issues originating from these data are discussed for identifying aspects of the lepidopteran fossil record that need to be addressed by future molecular dating analyses.
Next, the comparison of different algorithms for noisy data is discussed.
This approximation is reasonable because the study focuses on highly overdispersed NB distributions (with k<1); estimation of α̂ for underdispersed data is discussed in-depth elsewhere [14], [15], [17], [25].
The a posteriori error control of the approximation error for the boundary data is discussed in Section 3.3.
In [2], the design of a data logger is discussed for electrocardiogram (ECG) signals.
In [17], joint power allocation, relay selection, and subcarrier assignment with a minimal data rate per user is discussed for a downlink system model with fixed relays.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com