Statistical approach and territorial analysis on the Covid-19 emergency: the case study of the municipality of Tito

This paper analyzes the impact of the Covid-19 pandemic on Tito, a small municipality in Basilicata, Italy. Descriptive and inferential statistical models were used to study the course of the pandemic and predict its future development. The paper examines the possible consequences of proximity to a Site of National Interest on the spread of infection. The linear regression model was used to analyze the above phenomena. The paper also illustrates the multiple linear regression model and how it was constructed, considering the qualitative explanatory variables and ANOVA. The models were applied to data collected in the Municipality of Tito to test the trend of infection within the municipal area, with particular attention to the variables of gender, age, area of residence and vaccination status

Training for Territorial Sustainable Development Design in Basilicata Remote Areas: GEODESIGN Workshop

GEODESIGN represents an effective framework promoting collaborative planning and decision-making as an incremental process based on robust methodological guidance. In this paper, GEODESIGN has been adopted as supporting tool for preliminary activities oriented to the integrate risks mitigation and sustainable development in a wider research project MITIGO. Within this project, have been selected as case study area four Municipalities from inland areas of Basilicata Region, characterized by several risks (i.e. depopulation, hydro-geological risks, abandonment of traditional land uses{\ldots}). A knowledge framework process of future scenario building was produced through GEODESIGN Workshop, based on technical information concerning environmental and anthropic risks and combined with more traditional context analysis

Design and production of a chimeric resilin-, elastin-, and collagen-like engineered polypeptide.

Protein-inspired biomaterials have gained great interest as an alternative to synthetic polymers, in particular, for their potential use as biomedical devices. The potential inspiring models are mainly proteins able to confer mechanical properties to tissues and organs, such as elasticity (elastin, resilin, spider silk) and strength (collagen, silk). The proper combination of repetitive sequences, each of them derived from different proteins, represents a useful tool for obtaining biomaterials with tailored mechanical properties and biological functions. In this report we describe the design, the production, and the preliminary characterization of a chimeric polypeptide, based on sequences derived from the highly resilient proteins resilin and elastin and from collagen-like sequences. The results show that the obtained chimeric recombinant material exhibits promising self-assembling properties. Young's modulus of the fibers was determined by AFM image analysis and lies in the range of 0.1-3 MPa in agreement with the expectations for elastin-like and resilin-like material