Discover the secrets of Soft Matter with us!
The developed scaling covers the period from the Holocene onset (10,000 BC) till now.
The report shows that some aspects of the development of selected urban centers can be considered as a Socio-Economic Soft Matter entity, with the population dynamics described and explained under Soft Matter Science. The environment seems to be a kind of averaged factor - in Soft Matter it can be described as 'mean field approximation', which always results in a qualitative simplification of the description of important processes.
In such an approach, notable are similarities in population changes to bacteria develpopment in a container or the isolated human civilization on Rapa Nui island. For cities crucial is the existence of an 'attractor' , attracting people from outside the city. In turn, the population may start to leave the city when the attractor weakens. Significant can be the emergence of a new, much stronger 'attractor' nearby. In Poland, an example of such a new attractor can be Warsaw (population rise), located relatively close to Łódź (population decay), currently well connected, with attractive jobs, for various professions.
The global population can be considered as a unique model system because it develops in an 'isolated & defined' planetary system. In the report published in Scientific Reports, changes in the global evolution were tested in a new way, for the first time, using the analytic dataset obtained due to the numerical filtering of data from different sources. Further, it enabled the derivative-based and distortions-sensitive analysis, which has not been implemented so far.
The scaling equations are discussed by recalling: *the complex systems physics: (*) the Weibull distribution in extreme value theory, (**) KWW, glass transition physics issues, (***) dynamic & constarined critical phenomena physics. The significant historical and prehistoric issues revealed by distortion-sensitive analysis are recalled to show the origins of changes. The paper indicates that global population evolution can be non-monotonic, which yields a significant problem in long-term deterministic forecasting. It introduces an innovative way of data analysis sensitive to subtle deviations from model relations related to the 'bottom-up' methodology, which has hardly been used so far.
This WEBSITE was created to realize the following, main GOALS:
Soft Matter systems have common features, such as the dominance of elements or local structures on the mesoscale, combined with their relatively weak interactions, which turns out to be sufficient to obtain a tendency to self-organize with even a small change in parameters. This additionally leads to extraordinary sensitivity to even minor endogenous and exogenous factors, e.g., nanoparticles and pressure. In the case of the latter, relatively low pressures P~1 GPa, or even much lower ones, can lead to phases/states with exotic features, often persisting after decompression.
Worth stressing, that for "classical hard matter" systems, a pressure similar to that at the Earth's core (~300 GPa) is typically required, and the resulting "exotic" properties most often disappear upon decompression.
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