The results predicted that consideration of sample shrinkage led to an overestimation of average values of convective heat transfer coefficient, ¯hcon by 55.72 61.86% for the investigated samples.
Soil physicochemical properties and microbial communities are highly heterogeneous and vary widely over spatial scales, necessitating careful consideration of sampling strategies to provide representative and reproducible soil samples across field sites.
We additionally used STRUCTURE version 2.3.4 (Pritchard et al. 2000) to probabilistically assign individuals to genetic clusters (K) in each of the rice CWR, under admixture model assumptions and without consideration of sampling localities.
A large number of methods exist today for estimating survivorship and fertility, but robust approaches rely on careful consideration of sampling design and accounting for the observation process – it is rare that all individuals can be caught or seen.
The accuracy between ordinary kriging and regression kriging was compared based on the combined consideration of sample size, spatial structure, and auxiliary variables (terrain indices and electromagnetic induction surveys) for a variety of soil properties in two contrasting landscapes (agricultural vs. forested).
The fact that these additional terms are closely related to electron transport and oxidative phosphorylation, suggests that SLEPR could potentially uncover more related biological themes, presumably due to our consideration of sample-level specificity for gene-level variances and pathway-level consistency across the population.
In designing studies to evaluate pathogen toxicant interactions, consideration of sample size is critical.
A crucial starting point for studies of this type is the consideration of sample sources, cell types, and experimental settings.
Comprehensive model evaluation must include consideration of sample design, covariate selection, goodness-of-fit and parameter redundancy diagnostics.
In hypothesis-testing science, the consideration of sample size is secondary to more primary considerations of quality of the measures and correctness of design.
