Sentence examples for features of prior from inspiring English sources
Similarly, Japanese macaques modify the structural characteristics of their calls according to the features of prior vocalizations produced by group members [37].
Mr. Spitzer said he had insisted on a statement of contrition by Mr. Strong, rather than a refusal to admit or deny charges, a feature of prior settlements.
A salient feature of prior Eu(SiO(OH 3)2 + stability constant assessments is that the largest silicate stability constants were obtained in the presence of substantial silica polymerization.
The personal feature of prior knowledge of the surroundings (or type of surroundings) is also found to have a positive influence on the use of the nearest fire exit.
In fact, a light microscope can be integrated into the system to directly screen for features of interest prior to tomography.
Two important features of these priors are how much mass they have in the neighborhood of zero and how thick or flat the tails of the density are.
In orthodox approaches to quantum mechanics, some measurements of a system in a given state will not yield a result that represents a definite feature of that prior state (Albert 1992).
The study featured two years of prior preparation in three sites (Wardak province, Kabul, and Peshawar) to achieve reliable translations, establish sampling and recruitment logistics, and conduct extensive pilots including test-retest reliability across sites.
Thus, the DR-3/TL1A pathway contributes to the development of early pathologic features of inflammatory arthritis prior to exerting an effect on Teff cell development and osteoclastogenesis in murine models of inflammatory arthritis (21, 36).
The induction of Pref-1 expression suggests that the stem cells first commit to the adipogenic lineage, acquiring the features of pre-adipocytes, prior to undergoing differentiation into mature adipocytes.
Reducing the number of features prior to statistical analyses will result in more accurate multivariate modeling and differential feature selection, as well as decreased reporting of unknowns that often constitute the largest proportion of human metabolomics data.
