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The focus in these studies is on the unpredictability of the time evolution of such systems and processes.
To make a sustainable evolution of such systems, it becomes mandatory to improve their modular structure after a certain time.
They allow to make predictions about the structure and evolution of such systems [27], and to even control them in some cases [28].
Due to the complexity and continuing evolution of such systems, it is desirable to maintain as much software controllability in the field as possible.
For example, prior knowledge of the spatial evolution of such systems can lead to innovative communication architectures for these distributed systems.
Traditional optimization is, however, often insufficient for gaining deeper insights into the evolution of such systems because usually there is a mutual relationship between the properties optimized by evolution and the properties of the environment.
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The evolution and logic of such systems along with their merits and demerits are discussed.
In recent times, the evolution of the structural and functional design of such systems has led to the construction and operation of complex molecular devices and machines that, in some cases, are able to perform specific tasks.
In recent times, the evolution of the structural and functional design of such systems has led to the construction and operation of complex molecular machines that, in some cases, are able to do specific tasks.
Among other issues, the design of such systems relies critically on the knowledge of surface roughness evolution.
The story of such systems begins early.
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Justyna Jupowicz-Kozak
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