The detailed description and implemented examples provide valuable information on how to use and exploit iTETRIS simulation potential.
The nature of communications between clinical staff and clinical governance or risk management staff, for example, will provide valuable data, especially in the context of formal mechanisms for reporting and monitoring safety incidents.
Finding the critical aggregation concentration (CAC) of the tubules as a function of temperature, for example, will provide valuable information regarding the thermodynamics of the system (i.e., binding energy, enthalpy change, and entropy change involved in the formation of the tubules).
For example, censuses can provide valuable information on the occupational distribution and other sociodemographic characteristics of the population of economically active age; however, they tend to contain limited information on other indicators of labour force activities.
The application of supported liquid-phase catalysis (SLPC) to selective oxidation examples is discussed to provide valuable alternatives to the purely homogeneous or heterogenous processes.
Remote ponderosa pine (Pinus ponderosa) forests on the North Rim of Grand Canyon National Park, Arizona, USA provide valuable examples of reference conditions due to their relatively uninterrupted fire regimes, limited grazing history, and protection from logging.
In this way the examples and tools documented provide valuable experiences and lessons that may accelerate the development of similar initiatives in other city regions around the world, wishing to apply, or to customise, and to up-scale similar practices.
In particular, studies considering disease subtypes, for example ER-negative disease, may provide valuable information into the reasons for known prognostic differences between subtypes.
Finally, we provide some case study example of how biological variability may provide valuable insights or lead to surprising results.
Because singleton words in the dictionary (see Section 2.1) provide valuable negative examples, PSSM learning is performed before removing these words from the final database.
