Sentence examples for predictions aim to from inspiring English sources

Seasonal-to-decadal climate predictions aim to predict these drivers and their influence on the atmosphere using coupled general circulation models (GCMs) of the atmosphere, ocean, land, and cryosphere [e.g., Doblas-Reyes et al., 2013; Meehl et al., 2014; Smith et al., 2012; Kirtman et al., 2013].

47– 49 When the predictions aim to optimize the biochemical design of microbes for cell factories, the synthesis (as molar yield) of key-products is maximized.

Notice that the low recall is mainly due to the fact that ChIP-seq experiments target TFBS residing regions of individual motifs while our predictions aim to identify motif combinations.

This prediction aims to give an abstraction of the system performance over a multipath channel by summarizing the turbo code performance as look-up tables (reference curves).

An optimal design of support vector machine (SVM -based claSVM -basedor prediclassifiersto optimize the combination oforeature selection, predictionsetting of SVM, aimscross-validatooptimizeds.

In this paper, we report the design, development, and evaluation of a TEL environment, MIC-O-MAP (MICroscopic-Observations-Macroscopic-Predictions), aimed to develop students' micro-macro thinking in the context of self-regulated learning within tertiary education.

This paper discussed the current status, challenges, and way ahead of the PP prediction in carbonate reservoirs, and focused on the geophysical models related to the prediction, aiming to provide a valuable reference and promote its developments.

Ant state prediction aims to guide ant clustering around cells of interest, while pheromone field prediction helps to accelerate the pheromone formation of the current frame using the Gaussian mixture model (GMM) approximation technique.

Genomic prediction aims to leverage genome-wide genetic data towards better disease diagnostics and risk scores.

The prediction aims to identify the residue clusters that significantly overlap with a binding site for the metal ion of interest.

Given a sequence or structure of an antigen, in silico B-cell epitope prediction aims to identify a set of residues on the antigen capable of binding an antibody (Kringelum et al., 2012).