The phrase "aging consideration" is not commonly used in written English and may be unclear without context.
It could be used in discussions related to factors that take age into account, such as in healthcare, policy-making, or product design.
Example: "When developing new healthcare policies, aging consideration is crucial to ensure that the needs of older adults are met."
Alternatives: "age-related factors" or "consideration of age".
Wire aging considerations are also discussed.
In mid 2002, due to aging considerations for the On-Board Recorder, natural sites within Canadian data reception masks have been envisioned for their potential to support radiometric analyses, as an alternative to the Amazon Rainforest where images are recorded.
This approach is composed by hierarchical aging analysis at transistor/circuit level, block failure analysis at abstraction level and system-level aging considerations, which can essentially highlight sensitive blocks for circuit designers.
Adding of statistical, drift, and aging considerations for design centering and yield optimization, including layout synthesis and post-layout simulation results in the loop, can be witnessed from concept to commercial tool level, e.g., in Muneda's WickED framework [1].
Ageing considerations show that the loss in treatment efficiency is restricted to only 25%, meaning that even after 14 days of ageing the WCA reduction upon plasma treatment is still more than 40%.
Simply altering the built environment is insufficient for creating more inclusive environments for older persons, as creating 'meaningful' places for aging involves consideration of psychosocial and cultural issues that go beyond issues of physical space.
The potential implications of the alterations observed with aging deserve consideration.
While for 15 49 year age consideration this increase is of 2.7 percentage points (from 3.5percentt for NFHS-2 to 6.2percentt for NFHS-3).
In the validation cohort, the difference between the model with or without age consideration was 5.2% (bootstrap-based P-value = 0.004).
Age consideration is a large factor.
