For instance, teams that prioritize reliability over adaptability (think accounting departments) may require highly stable structures — and they're often well served by traditional training (in regulated environments, the rules are the rules, and you have to know and apply them).
Efficient partial-harvesting operations may require highly trained loggers and specialized machinery.
For instance, some services may require highly diverse inputs to achieve satisfactory code coverage (specifically, statement coverage).
If you have an art collection, for example, depending on the size and value of your pieces, an insurer may require highly complex home security.
Fixing a product or an assembly line is a mechanical act; it may require highly complex detective work (as the Valukas report shows) but once the fix has been made, that's it.
Nonetheless, it is important to keep these properties apart as the semantic treatment we give each may vary wildly, the ways of testing for them may require highly specialized considerations and their source may well differ radically from phenomenon to phenomenon.
Traditional methods for the identification of URI pathogens, including culture and serology, are effective but are labor intensive and may require highly trained personnel and days to weeks to complete.
This may require highly developed communication, diagnostic, clinical procedural and management skills from the practitioner.
Future advancement in gene therapy techniques leading to clinical trials may require highly efficient gene transfer systems, such as self-complimentary AAV vectors (scAAV), providing more efficient gene transduction compared to traditional single stranded vectors with high levels of safety.
While not necessary for Affymetrix, migration to other assay technologies (for example, RT-PCR approaches) may require highly and invariantly expressed genes to act as a reference for determining accurate gene expression level estimates.
