Sentence examples for weight for term from inspiring English sources

Neither continuous nor categorical TCDD concentration had an effect on birth weight for term infants after adjustment for infant sex, mother's education, parity, prenatal cigarette smoking, and gestation length.

Some previous studies have shown a much stronger association between TTHM exposure and low birth weight for term births only (Gallagher et al. 1998), whereas others have detected no consistent associations of low birth weight among all births or term births (Jaakkola et al. 2001; Wright et al. 2003).

Other secondary outcomes will include gestation at booking, booking before 25 weeks; measures of size and stage; gestational age at delivery; weight-for-dates, term at birth; birth outcomes and maternal smoking.

The trend of incidence of macrosomia followed the pattern of birth weight for all term and postterm infants.

Over the 11-year period, mean birth weight for all term and postterm infants increased from 3296 g in 1994 to 3378 g in 2000, then levelled off to 3369 g in 2005.

The top two sliders control the importance of terms matching to GO and PO, respectively; the bottom slider in this column controls the weight for query terms that did not match an ontology.

However, since the results of cross-validation were used in model optimization (i.e. selecting scaling weight for cross-terms and number of extracted PLS components) there is a risk for a bias in the Q2 estimate, and we wanted to ascertain that these high Q2 values were not overoptimistic.

5. Respiratory distress syndrome (RDS) 6. Macrosomia (birth weight ≥4 kg for term infants or birth weight ≥90th percentile for the gestation age) 7. Small for gestational age (SGA) (birth weight below the 10th percentile for the gestational age).

In a model of AGD based on data for males and females combined (results not shown), after adjustment for weight, the term for sex was clearly important (β for males = 10.9 mm, standard error = 0.4, p < 0.0001; change in R2 due to addition of sex to model = 0.86).

The weights for long-term and short-term ANN are set as 0.4 and 0.6, respectively, and the time period of training data for the short-term ANN is set to 1 week.

Following convention, the (i, j th entry of A is the inverse document frequency (IDF) weighting for each term in the vocabulary (Manning et al. 2008).