In a series of crafty and colorful works, all made this year, she gives yarn-sheathed branches the earthy sophistication of models in bulky wool sweaters.
The size and sophistication of models has increased significantly since that paper and a range of techniques are available from predicting the initial mechanical environment through to advanced adaptive simulations including bone adaptation, tissue differentiation, damage accumulation and wear.
Whereas animal tests are very expensive and time consuming, high throughput computational approaches, otherwise known as in silico models, are broadening the horizons of experimental sciences: with increasing sophistication of such models, we are increasingly moving from experiments to simulations [4].
While the sophistication of mixing models has evolved over the last few decades [15], [17], [18], these models have not incorporated intra-population variability in eating patterns; rather, all mixing models have assumed that the proportional contribution of prey to a consuming population's diet is fixed such that all individuals have identical diets.
However, there is a gap between modeling approaches and empirical studies in that the number and sophistication of theoretical models of dispersal far exceeds our knowledge of actual animal movements.
Both time and economic constraints have led to an increase in the sophistication of the models for such chemical processes.
"The sophistication of these models means that all you need to do is add the ingredients and let the machine to the work, leaving you to wake up leisurely to the smell of freshly baked bread".
Despite the increased sophistication of numerical models and field techniques for investigating wave-induced nearshore sediment transport and ensuing beach morphological response, there remains a significant demand for large-scale laboratory experiments to address this research topic.
Nonparametric Bayesian techniques have been developed recently to extend the sophistication of factor models, allowing one to infer the number of appropriate factors from the observed data.
Students' models varied in the number of problem factors considered (cost per surface unit of bridge deck, aesthetics of the various bridge types, bridge design effort, construction difficulty, length), as well as in how they reasoned with these data, and in the sophistication of their models.
The computational simulation for weather, seasonal, climate, and environment forecast of ever-increasing range of geophysical phenomena contributes enormously to understand and predict the complex processes in the Earth system, with close relation between the sophistication of prediction models and the availability of computational power [1].
