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Goal: The purpose of this article is to introduce a new strategy to identify areas with high human density and mobility, which are at risk for spreading COVID-19. Crowded regions with actively moving people (called at-risk regions) are susceptible to spreading the disease, especially if they contain asymptomatic infected people together with healthy people. Methods: Our scheme identifies at-risk regions using existing cellular network functionalities-handover and cell (re)selection-used to maintain seamless coverage for mobile end-user equipment (UE). The frequency of handover and cell (re)selection events is highly reflective of the density of mobile people in the area because virtually everyone carries UEs. Results: These measurements, which are accumulated over very many UEs, allow us to identify the at-risk regions without compromising the privacy and anonymity of individuals. Conclusions: The inferred at-risk regions can then be subjected to further monitoring and risk mitigation.

team of researchers concludes that a game-theory approach may offer new insights into both the spread and disruption of viruses, such as SARS-CoV-2. Its work, described in the Journal of the Royal Society Interface, applies a "signaling game" to an analysis of cellular processes in illuminating molecular behavior.

Using two independent single-cell approaches, we identified a shift in the overall immune cell composition in cavefish as the underlying cellular mechanism, indicating strong differences in the immune investment strategy. While surface fish invest evenly into the innate and adaptive immune systems, cavefish shifted immune investment to the adaptive immune system, and here, mainly towards specific T-cell populations that promote homeostasis. Additionally, inflammatory responses and immunopathological phenotypes in visceral adipose tissue are drastically reduced in cavefish. Our data indicate that long-term adaptation to low parasite diversity coincides with a more sensitive immune system in cavefish, which is accompanied by a reduction in the immune cells that play a role in mediating the pro-inflammatory response.

"There is a system of checks and balances that make sure the craziest of us are put back in line. That's true in human societies, in ecosystems, and inside organisms."

Any entity or system that we call 'living' will eventually die. This holds at any scale, from cellular level to ecosystems, and even our socio-economic, financial and technological domains. To understand why, it is best to look at a such a system as a infrastructure for a specific saturation process. Large organisms/systems are actually huge ensembles of interacting (and saturating) sub-processes, but here we just consider the 'top-level' saturation process. (At a high, technical abstraction level, this is always the saturation-process of entropy production, and the system is some local maximum of this, but you can read about this in our other publications).