Sentence examples for predictors along with from inspiring English sources

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Also, among the ANN-developed PTFs that used basic soil properties as predictors along with the other input variables, PTFb5 that used the σmc (stress at the maximum curvature) and σi (stress at the inflection point) as inputs along with basic soil properties, performed better than the other PTFs.

Fuzzy logic based effort prediction systems can deal better with imprecision, which characterizes the early phases of most software development projects, for example requirements development, whose effort predictors along with their relationships to effort are characterized as being even more imprecise and uncertain than those of later development phases, for example design.

These issues are more pronounced when these effort prediction approaches are used during the early phases of the software development lifecycle, for example requirements development, whose effort predictors along with their relationships to effort are characterized as being even more imprecise and uncertain than those of later development phases, for example design.

CONCLUSIONS Clinical predictors along with NT-proBNP levels were strong predictors of pump failure risk, with insignificant incremental contributions of ST2 and galectin-3.

For the factors Practical Professional Information Search and Future Planning, scores in Extraversion were significant predictors, along with Agreeableness and Conscientiousness, respectively.

In women, elevated SBP and AER were also predictors, along with non-HDL cholesterol.

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The findings reveal that maltreatment and poverty rates and the size of the population of children are non-significant predictors of a county using FGDM, but having a FGDM pilot grant is a significant predictor, along with having had a system of care initiative.

Fig. 2 ROC curve (a) for the global drug-target predictor along with precision (b) and enrichment factors (c) in different top positions.

In this article, we propose a method based on the integration of 3D chemical similarity, target and adverse effect data to generate a drug-target-adverse effect predictor along with a simple leveraging system to improve identification of drug-targets and drug-adverse effects.

We evaluated the performance of MULTICOM human predictor along with 44 CAservererver predictors on 42 CASP11 human targets.

A linear regression model was fitted to the duration of filtration with TPN as a categorical predictor, along with other covariates.

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