Sentence examples for predictions which include from inspiring English sources

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Together, these data allow a comprehensive scale intercomparison of remotely sensed predictions, which include intercomparisons of the evapotranspiration products from the various sensors as well as a statistical analysis for the retrievals at the watershed scale.

Model predictions, which include ply crack density evolution and laminate stiffness degradation, correlate well with available experimental data, while model results for various CFRP and GFRP multidirectional laminates demonstrate its robustness.

Journalist Rebecca Eckler was the winning bidder and wrote about the predictions, which include the diminished use of fabric softener and the rise in use of industrial hemp, in an article for Maclean's magazine.

Similar(57)

The dominant species predictions which included 24 59 % of errors (Table 7) degraded the accuracies obtained earlier (Fig. 5).

We use an expression for the error variance of geostatistical predictions, which includes the effect of uncertainty in the spatial covariance parameters, to examine the performance of sample designs in which a proportion of the total number of observations are distributed according to a spatial coverage design, and the remaining observations are added at supplementary close locations.

The WTM model makes 39 predictions, which includes true positives, true negatives, false positives, and edges considered to be half-right (see Methods) with 32 or 82% being correct, whereas the MIM makes 88 predictions with 57 or 65% being correct.

Recent survey by Sethupathy and colleagues [ 18] compared five widely used traditional tools for mammalian target prediction which include DIANA-microT [ 7], miRanda [ 19], TargetScan [ 3], TargetScanS [ 11], and PicTar [ 10].

The proposed equivalent surface defect model is used for corrosion fatigue life prediction which includes the crack initiation life and the crack propagation life.

(ii) A folding program which expects a sequence of nucleotides as input and produces an extended secondary structure prediction which includes nucleotide pairs of non-canonical types.

In practice, this means that integrating various different cell-level data will be effective in prediction, which includes proteomics, ionomics, phenotypic data of mutants, bioinformatics predictions, computational simulations of pathways, and molecular dynamics of biomolecules.

Our review systematically evaluates and summarizes 20 risk prediction models for mortality prediction which included variables required for score calculation in patients with pneumonia so that clinicians and policy makers (such as guideline committees and health services researchers) can make informed choices about the ease of use and comparative predictive ability.

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