Sentence examples for predicted feeding from inspiring English sources

The aim of this study was determine the influence of maternal pre-pregnancy weight status on infant feeding intentions during pregnancy using a validated scale and assess whether high intentions to exclusively breastfeed measured during pregnancy predicted feeding mode at discharge and at 4 months postpartum in both healthy weight (Hwt) (BMI< 25 kg/m2) and overweight (Owt)(BMI > 25 kg/m2) women.

Further, we used analysis of covariance (ANCOVA), with body centroid size as the covariate, to test whether PLS scores – describing those aspects of morphology that best predicted feeding behavior – differed among populations.

This is considerably greater than the resting metabolic rate multiple of 2.5 assumed by Kearney et al. (2008) to estimate field metabolic rate, from which they predicted feeding rates for inclusion in a model of future cane toad distributions.

To finally estimate the performance of the support vector machine we compared the predicted feeding rates with the actually observed feeding rates by calculating a Spearman rank correlation.

We found that the performance of the support vector machine was very good since the predicted feeding rates by the algorithm were highly correlated with the actual feeding rates observed in the field (Spearman rank correlation, n = 20, r = 0.54, P = 0.014; see Fig.  3).

Neuroimaging and neurobehavioural outcomes at term are predictive of later neuromotor impairment, but it is unknown whether they predict feeding impairment.

We used 2B-PLS to identify the aspects of morphology that best predict feeding behavior.

Investigating differences in feeding behaviour between siblings could shed further light on child-specific characteristics that predict feeding strategies (Farrow et al., 2009; Webber, Cooke, & Wardle, 2010).

Later research focussed on attitudes as the precursor to intention in order to predict feeding behaviour, for example testing or applying the Theory of Reasoned Action [ 9].

Because ADG is an independent variable in the regression that estimates predicted feed intake, RFI and ADG have no correlation.

There are several traits to estimate FE in beef cattle, for example by residual feed intake (RFI), a well-accepted measure that is calculated by the difference between observed and predicted feed intake based on average daily gain (ADG) and metabolic weight [ 5].