In designing a Phase II trial, the acceptable clinical activity region for a new therapy is often developed using data from historically treated patients.
Non-academic skills are often developed and used as part of a "community of practice" (Stasz2001).
Models are most often developed using data from specific periods of time, patient cohorts or geographies, and when they are evaluated against new populations, may not perform as well as in the original population [ 3].
Computational models of the adaptive IS are very often developed using pure mathematical tools, such as ordinary differential equations (ODEs), to describe the behavior of its components and their relationships, although other tools, such as system dynamics [ 16, 17], cellular automata [ 18– 24], agent-based systems [ 25– 36], and complex adaptive systems [ 37], are also used.
Because preference weights are often developed for use in resource allocation (e.g., as in cost-effectiveness analysis that may use predetermined community weights), it is tempting to use those same weights in the clinical trial setting to demonstrate treatment benefit.
Although such devices are often developed and demonstrated using in vitro tissue culture models, these conditions may not be compatible with DNA nanostructure integrity and function.
However, these 3D landscape models are often developed for use in bespoke virtual reality labs that tie the models to expensive graphics hardware, or complex arrays of screens, with the viewer spatially detached from the actual site.
First, dances usually lack words or texts and are often developed without the use of a written plan, script or score of any kind (see Franko 1989 and 2011a).
BESs are often developed from BAC libraries and are used for marker development and genome sequence composition surveys before whole genome sequencing [ 10].
