The phrase "autonomous functional" is correct and usable in written English.
It can be used in contexts related to systems, processes, or entities that operate independently while performing specific functions.
Example: "The autonomous functional units within the organization allow for greater efficiency and adaptability in response to changing market conditions."
Alternatives: "independent operational" or "self-sufficient functional".
As such, Parsons' framework may be useful to understand the physiology of a performance system, conceptualized as a set of specialized functions that must be achieved by autonomous functional subsystems.
In this architecture, various autonomous functional modules such as event dispatchers and event handlers can be added or removed easily for rapid WSN application development.
In 2006, Fei [11, 12] considered the following autonomous functional differential equation: quad x'(t)=- bigl[f bigl(x t-1) bigr)+f bigl(x t-1) bigr)+fcdots+f bigl(x t-2l(t-(n-1) bigr) bigr) bigr], where f is odd and (ngeq2) is an integer.
In order to describe the survival of red blood cells in animal, Wazewska-Czyzewska and Lasota [1] proposed the following autonomous functional differential equation: frac{dx}{dt}=-ax t)+be^{-cx(t-tau)}=-ax t) where (ain(0,1) ), (b,c,tauin(0,infty) ).
A challenging task for a reasonable utilization of such biological robotic motors in a general and efficient cooperative behavior is to attach, that is, adhere or tether a single or a multitude of individual biological cells to a specific surface or microparticle in a defined way thereby creating autonomous functional robots at the nano- or microscale.
Motifs are autonomous functional binding modules that can independently engage in an interaction.
In the special case of autonomous functionals the Lavrentiev term can be expressed as an inf-convolution between the jump-part energy density and a rescaled bulk energy density.
However, most of these functional differential equations are autonomous, the results on the non-autonomous functional differential equations are relatively few (see [12, 13]).
Xu et al. developed a delay differential inequality with the impulsive initial conditions and derived some sufficient conditions to determine the invariant set and the global attracting set for a class of nonlinear non-autonomous functional differential systems with impulsive effects [28].
For example, the generation of ROS leads to a cell-autonomous functional decline of hematopoietic stem cells which normally exhibit low levels of ROS.
Such elements, often called nonautonomous elements, are supposed to mobilize through a cross activation (in trans) with autonomous and functional partners.
