Not exact matches
However, learning to
predict possible climate outcomes on the basis of both observed and modeled behavior of the
different factors that make up the ocean ecosystem is
by no means straightforward.
Although many elements of the turbulent structure (including the wind profiles, the evolution of cloud - base height, the statistics of the subcloud layer, and the nature of mixing in the lower and middle parts of the cloud layer) are robustly
predicted, the representation of the stratiform cloud amount
by the
different simulations is remarkably sensitive to a number of
factors.
Advances in prevention in public health2 provide a model for prevention of adolescent health - risk behaviors
by focusing on risk and protective
factors predictive of these behaviors.3, 4 Research on the predictors of school failure, delinquency, drug abuse, teen pregnancy, and violence indicates that many of the same
factors predict these
different outcomes.5, 6 Recent research has shown that bonding to school and family protects against a broad range of health - risk behaviors in adoles cence.6 Yet, prevention studies typically have focused narrowly on a specific outcome, such as preventing substance abuse, and on attitudes and social influences that
predict that outcome.7, 8 Previous studies on prevention have not sought to address the shared risk and protective
factors for diverse health - risk behaviors that are the main threats to adolescent health.
A decomposition methodology examined the contribution from
different sources in explaining the SES gradient in early cognitive outcomes.34 Similar to the methodology used in the UK Millennium Cohort Study, we focus on the quintile 1 — quintile 5 (Q1 — Q5) and quintile 1 — quintile 3 (Q1 — Q3) gaps and calculate the percentile points and the percentage of the raw gaps explained
by each candidate explanatory
factor and each domain of
factors.2 This was done
by taking the product of the mean gap in each explanatory
factor (mean difference between Q1 — Q5 and Q1 — Q3)
by the β coefficients from linear regression models that
predict reading and math ability from SES and all candidate explanatory
factors.