Second, within single healthcare organization whether private or public, for-profit or not-for-profit profiles are funot-for-profit profilesg targets anot-for-profit profilesding of the forces tharedrive healthcare consumption.
Although knowledge of theoretical features, strengths and weaknesses of different approaches are fundamental for developing a predictive model of morbidity in the ICU, the final choice of model also has to consider the context and clinical scenario where the model will be used.
Herein, areas favorable for spat collection and/or targeting rope deployment periods for spat settlement is of particular relevance in mussel aquaculture and further, will be fundamental for developing future farming management strategies (e.g., protect native spawning stocks and/or larval settlement) (Gosling 1992; Dias et al. 2009).
This chapter presents the basics of the mapping techniques most often applied in practice, the most basic mathematical theories of stochastic simulation using Monte Carlo techniques, and the basic concept of the integrated fracture system characterization at site scales, as this knowledge is fundamental for developing and applying the discrete element methods (DEM) approach for rock engineering.
Formal multidisciplinary steering committees, team-based organization, and informal relationships were fundamental for developing coordination and coherence.
AhR ligands have been shown to carry potentially important chemopreventive properties, thus understanding the mechanisms behind these properties is fundamental for developing cancer therapies.
Understanding what patients want to know about their cancer and when they need to know it in the course of the disease is fundamental for developing tailored information interventions and ensuring the delivery of quality cancer care.
"Education is fundamental for development.
A detailed understanding of the variabilities in these component parameters at different time and space scales in terms of the phenomenology and cause-effect sequence, and adequate data bank, are fundamental requirements for developing predictive capabilities.
Hydrological data, such as precipitation, is fundamental for planning, designing, developing, and managing water resource projects as well as for hydrologic research.
The capacity of Caatinga forests to regenerate after clearing determines the magnitude of the carbon (C) sink in the soil, and thus is fundamental information for developing management policies for long-term sustainability.
