However, as most of our anatomical observations are based on point samples, not longitudinal data, we cannot rule out morphological improvement in a single barbel over time through matrix remodeling, cellular turnover, or other long-term physiological processes.
An alternative to using vegetation maps for assessing ecosystem representation is based on point data sampling of vegetation across a wide range of spatial scales.
The current results are based on point prevalence samples obtained from all patients present in the ICU on a predefined moment, also including patients not directly exposed to SDD or SOD, thus reflecting the ICU ecology.
Until recently, almost all studies on ACOTS have discussed its pathophysiology based on single-point sampling of blood or single-point measurement of the parameters of viscoelastic devices [ 9, 10].
An empirical formula for the ESF factor involved in the ESF model is presented based on sample points obtained by comparing the nonlinear dynamic responses of frame structures under the blast loading with the corresponding nonlinear pushover analysis of the structure due to an ESF.
Results show that: the reproduction accuracy is similar between MPS and SIS; MPS provides the most connected channel facies (or most channel continuity) as compared to SIS and ObjM; and using a hand-drawn facies based on the sampling points yield a similar accuracy to that achieved by using the reality facies distribution as the training image.
For example, a point set P 1 is selected from the initial point set P based on probabilistic sampling, after that, another point set P 2 is selected from P 1 based on uniform sampling.
In this paper, a novel approach is proposed to reliably reconstruct the geometric shape of a physically existing object based on unorganized point cloud sampled from its boundary surface.
For each map, 100 points were calculated based on Monte Carlo sampling of the estimated parameter range in Figure 4A.
Densities of states (DOSs) are calculated based on a k-point sampling of 5 × 5 × 1.
