Sentence examples for of future sampling from inspiring English sources
Variations in age structure of sea mullet observed in this study also suggest the scales at which biological processes, such as larval dispersal, growth and migration, operate for this species and so will also assist in the design of future sampling to examine these processes in more detail.
Specific selection of future sampling sites may provide clues of the orbital and thermal histories of these asteroids and their surfaces.
One could therefore propose that the majority of future samples will be similarly predicted.
where J1−J3 equate to those of Fig. 2, and the time instants of interest have been altered to avoid the use of future samples.
We synthesize existing data to pose hypotheses to be tested by dynamical modeling and the analyses of future samples returned by Hayabusa 2 and OSIRIS-REx.
We used different models to predict the class of future samples using CpG methylation profile based on the Compound Covariate Predictor [24], Diagonal Linear Discriminant Analysis [25], Nearest Neighbor Classification [25], and Support Vector Machines with linear kernel [26].
The test set emulates the set of future samples for which class labels are to be predicted.
Hence, the chosen sodium chloride concentration is an exemplary value, however, with significance for the analysis of future samples.
We developed models for utilizing gene expression profile to predict the class of future samples based on the Diagonal Linear Discriminant Analysis and Nearest Neighbour Classification [ 11].
In preparation for a subsequent full scale research study, we discuss further the recruitment, adherence and retention, the choice of a control condition, the effects of cognitive and physical activity intervention on cognition and their consistency with age, as well as predictions of future sample sizes based on the pilot data.
In a complete crossvalidation analysis, which gives an unbiased estimate of performance on future samples, the classifier correctly identified 10 of 11 responders and 11 of 13 nonresponders for an overall accuracy of 88%.
