In sum, Big Five traits play an important role in predicting a wide range of economic and social outcomes.
Modeling results demonstrate that HyChem models are capable of predicting a wide range of combustion properties, including ignition delay times, laminar flame speeds, and non-premixed flame extinction strain rates of all five fuels.
It is shown that, by including such optimum numbers of non-steady-state intermediates for the various mechanisms the present ARMs exhibit good to excellent performance in predicting a wide range of combustion phenomena under extensive thermodynamic parametric variations.
A particular focus of research has been on the possibility of using these data for predicting a wide range of social phenomena [3] such as stock market fluctuations [4, 5], outcomes in public health [6, 7], movie box office revenues [8], unemployment [9], and election results [10 13].
It has empirical support for predicting a wide range of behaviours [ 21, 22].
Previous research has demonstrated convincingly that several theories are successful in predicting a wide range of health behaviors [ 10, 11].
Some authors suggest that WHtR may be the best simple anthropometric index for predicting a wide range of cardiometabolic risk factors associated with central obesity [ 18, 21, 41].
While there are examples of biological systems that exhibit synchronous dynamical patterns [ 42, 43], asynchronous simulations might be able to predict a wider range of biological behaviors.
MEEM predicted higher PM10 and NO2 exposures during the winter than during the summer (see Supplemental Material, Figures S1 and S2), and it predicted a wider range of exposures than the lifetime model.
FunDi method predicted a wider range of site divergences, and the fractions of sites with posterior probability of functional divergence above 0.5 ranges from 0.798 to 0.987 across GAox subfamilies (Table 3).
