Although these differences could be due to poor taxonomic sampling, we discuss them briefly.
Given that, and because creatinine concentrations are missing for 11 urine samples, we discuss only specific gravity corrected estimates going forward.
For example, for the 79 glioma samples we discuss in the results section, the transitional probability between the same states is 0.56, and is 0.088 otherwise.
In our sample, which we discuss in the next section, households generally follow the traditional model of male-breadwinner-female-homemaker.
For every sample, the spectra suddenly lose the characteristic peak structures and become monotonic above different temperatures, which we define as the decomposition temperature (T dec) for each sample, as we discuss stoichiometry analysis below.
We show that the model can reproduce descriptive probes of movement paths with little sensitivity to the scale at which these paths were sampled and we discuss the merits of our approach in the context of movement- and cognitive-ecology and evolution.
Because of these concept-specific and sample-specific issues, we discuss our specific results relating to sample source (university; majors vs. nonmajors) and sample size (500 responses vs. 1056 responses) separately for each concept for which a scoring model was developed: variation, heredity, competition, and differential survival.
We clearly document the reversal of the stress field based on analyses of microstructures in one of the calcite vein samples, and then, we discuss the origin of such stress reversal in the Nankai accretionary prism.
In this paper, we describe the data and sample selection rules, we describe network characteristics of the entire network and of the samples, we provide an analysis of disease spread on sampled networks, and, finally, we discuss the results and practical implications as they relate to the two research questions.
