Potential for a Circular Autopoietic Economy on Canavese Territory

The aim of this gigamap is to describe and summarize a student work carried out during the semester course Open Systems Design at Politecnico Torino. The map is one of the outputs from an analysis of the Canavese, Piedmont region and subsequently an in-depth study of the relationships and “flows” with certain “currencies” between some selected economic and public actors. Canavese is a historical-geographical area located in the province of Turin, Italy; it’s full of great natural and geological spots, with a strong enogastronomic identity, historical re-enactments, a well-known manufacture sector like the ceramic of Castellamonte, as well as the leading high-tech branch like Arduino. Through the approach deriving from systemic design, it was possible to identify some strategies for the creation of new networks aimed at transforming the economy and production processes from linear to circular approach. Five types of “circular flows” were assessed and “designed into” the current linear system, thus proposing an improved economy based on circularity: flows of matter (energy/CO2, water, materials), economic flows, and social flows. The Gigamap will be presented to stakeholders in a public hearing and supposedly be used to illustrate and incubate a circular economy that is more resilient and more regenerative. Reading the map The reading should start at the top left, where the abstract is located, next, there is an outline that shows the connections between the five topics investigated. Subsequently, there is a timeline with some fundamental events in the history of the Canavese. In the center there is the circularity map with the main cities, focusing on new opportunities of circular flows between the 15 analysed economic actors. At the bottom, some general data and on the right a brief description of the role and territorial qualities of the companies. Lastly, there is a summary of the emerging properties

INVESTIGATION INTO THE PROBABILITY FOR MISCOUNTING IN FOCI-BASED ASSAYS

When early radiation damage to biological systems is studied based on the formation of foci at the location of DNA double-strand breaks, the foci observed in irradiated cells either may be induced by ionizing radiation (IR) interactions or they may be due to other causes that lead to observation of foci also in unirradiated cells. Generally, to take account of the latter, additional samples are taken where the exposure to IR is skipped in the protocol. The data analysis relies on statistical independence of the frequency distributions of background and radiation-induced foci. In microscopy, however, the observed spatial patterns of foci are 2D projections of the spatial distributions of foci in the observed cell nuclei. This may lead to missing foci when scoring their number, particularly if projections of foci overlap or coincide. This paper investigates to what extent the statistical independence of the frequency distribution of the number of foci coming from IR interaction or other causes is compromised by foci overlapping