Innovazione sociale e pratiche tecnoscientifiche: il caso delle reti wireless comunitarie

During the last decade, a growing number of disciplines dealing with innovation processes focused started to investigate the phenomenon of wireless community networks (WCN). These networks, now consolidated on a global level, represent an infrastructure that is entirely built and self-managed by citizens voluntarily cooperating to create a new model of digital communication other than the Internet and commercial services offered on the market by Internet Service Providers (ISP). WCN, therefore, represent an emblematic case to explore not only the technical aspects of more and more pervasive technologies within contemporary society, but also to focus on relations between social, political and techno-scientific dimensions supporting innovation practices. In fact, most recent experiences of WCN acquired a central role in redefining participation practices and political activism linked to digital media, and its forms of innovation. This paper, on the basis of data collected through a qualitative research on the origin and development of the main RWC in Italy, throws light upon the way in which community networks represent a peculiar form of social innovation, where a system of individuals – beyond traditional innovation and development institutions and on the basis of political values and beliefs – cooperate to originate a new infrastructure managing to endorse participation and social inclusion in the digital society. In doing this, the paper emphasizes the procedural dimension of social innovation as an emerging practice in the active cooperation among human beings and technologies, during which political visions, technical tools and social participation have an impact on each other and transform themselves

Complete X-ray census of Mdwarfs in the solar Neighborhood I. GJ 745 AB: Coronal-hole Stars in the 10 pc Sample

We have embarked in a systematic study of the X-ray emission in a volume-limited sample of M dwarf stars, in order to explore the full range of activity levels present in their coronae and, thus, to understand the conditions in their outer atmospheres and their possible impact on the circumstellar environment. We identify in a recent catalog of the Gaia objects within 10 pc from the Sun all the stars with spectral type between M0 and M4, and search systematically for X-ray measurements of this sample. To this end, we use both archival data (from ROSAT, XMM-Newton, and from the ROentgen Survey with an Imaging Telescope Array (eROSITA) onboard the Russian Spektrum-Roentgen-Gamma mission) and our own dedicated XMM-Newton observations. To make inferences on the properties of the M dwarf corona we compare the range of their observed X-ray emission levels to the flux radiated by the Sun from different types of magnetic structures: coronal holes, background corona, active regions and cores of active regions. At the current state of our project, with more than 90\% of the 10pc M dwarf sample observed in X-rays, only GJ 745 A has no detection. With an upper limit luminosity of log Lx [erg/s] < 25.4 and an X-ray surface flux of log FX,SURF [erg/cm^2/s] < 3.6 GJ 745 A defines the lower boundary of the X-ray emission level of M dwarfs. Together with its companion GJ 745 B, GJ 745 A it is the only star in this volume-complete sample located in the range of FX,SURF that corresponds to the faintest solar coronal structures, the coronal holes. The ultra-low X-ray emission level of GJ 745 B (log Lx [erg/s] = 25.6 and log FX,SURF [erg/cm^2/s] = 3.8) is entirely attributed to flaring activity, indicating that, while its corona is dominated by coronal holes, at least one magnetically active structure is present and determines the total X-ray brightness and the coronal temperature of the star.Comment: accepted for publication in Astronomy & Astrophysics (A&A

Does \u2018bigger\u2019mean \u2018better\u2019? Pitfalls and shortcuts associated with big data for social research

\u2018Big data is here to stay.\u2019 This key statement has a double value: is an assumption as well as the reason why a theoretical reflection is needed. Furthermore, Big data is something that is gaining visibility and success in social sciences even, overcoming the division between humanities and computer sciences. In this contribution some considerations on the presence and the certain persistence of Big data as a socio-technical assemblage will be outlined. Therefore, the intriguing opportunities for social research linked to such interaction between practices and technological development will be developed. However, despite a promissory rhetoric, fostered by several scholars since the birth of Big data as a labelled concept, some risks are just around the corner. The claims for the methodological power of bigger and bigger datasets, as well as increasing speed in analysis and data collection, are creating a real hype in social research. Peculiar attention is needed in order to avoid some pitfalls. These risks will be analysed for what concerns the validity of the research results \u2018obtained through Big data. After a pars distruens, this contribution will conclude with a pars construens; assuming the previous critiques, a mixed methods research design approach will be described as a general proposal with the objective of stimulating a debate on the integration of Big data in complex research projecting

Whole-brain histogram and voxel-based analyses of apparent diffusion coefficient and magnetization transfer ratio in celiac disease, epilepsy, and cerebral calcifications syndrome

BACKGROUND AND PURPOSE: Diffusion and magnetization transfer (MT) techniques have been applied to the investigation with MR of epilepsy and have revealed changes in patients with or without abnormalities on MR imaging. We hypothesized that also in the coeliac disease (CD), epilepsy and cerebral calcifications (CEC) syndrome diffusion and MT techniques could reveal brain abnormalities undetected by MR imaging and tentatively correlated to epilepsy. MATERIALS AND METHODS: Diffusion and MT weighted images were obtained in 10 patients with CEC, 8 patients with CD without epilepsy and 17 healthy volunteers. The whole brain apparent diffusion coefficient (ADC) and MT ratio (MTR) maps were analyzed with histograms and the Statistical Parametric Mapping 2 (SPM2) software. We employed the non-parametric Mann-Whitney U test to assess differences for ADC and MTR histogram metrics. Voxel by voxel comparison of the ADC and MTR maps was performed with 2 tails t-test corrected for multiple comparison. RESULTS: A significantly higher whole brain ADC value as compared to healthy controls was observed in CEC (P = 0.006) and CD (P = 0.01) patients. SPM2 showed bilateral areas of significantly decreased MTR in the parietal and temporal subcortical white matter (WM) in the CEC patients. CONCLUSION: Our study indicates that diffusion and MT techniques are also capable of revealing abnormalities undetected by MR imaging. In particular patients with CEC syndrome show an increase of the whole brain ADC histogram which is more pronounced than in patients with gluten intolerance. IN CEC patients, voxel-based analysis demonstrates a localized decrease of the MTR in the parieto-temporal subcortical WM

A 3d and 4d anatomical study of the human heart: analysis by direct volume rendering technique

In this report we demonstrated an innovative use of 3D and 4D volume rendering, processing the data set images obtained by CT on heart of subjects not affected by any cardiologic disorders. This method is a direct technique for visualizing primitive volumes without any intermediate conversion of the volume data to surface presentation. Here, we are able to highlight all anatomical structures of the heart examining them contemporarily in the same image or selecting a tissue type. The present report demonstrates how the manipulation of appropriate algorithms permits to meliorate the interactive anatomical morphology visualization, observing the heart within thorax, contemporarily, and creating a good perception of depth. Besides, it was possible to study the integrity of papillary muscles, or the fibrous tissue of cardiac valve and cordae tendineae, or finally to designate the exact morphology and location of coronary arteries studying and describing their wall morphology. Furthermore, by 4D analysis it was possible to obtain three-dimensional images in movement, highlighting both the movement of the vessels during cardiac phases and the modification of internal cardiac structures during these phases. Our results demonstrated that one of the greatest advantage of algorithmic modifications of volume rendering is that this method provides all the necessary informations in a single radiologic study, meliorating anatomical description of all cardiac structures. Moreover, avoiding the invasive diagnostic methods as well as coronarography this methods allows to meliorate clinical study of the region also facilitating the therapeutic plans of the cardiac disease

Integrating Blue Energy in Maritime Spatial Planning of Mediterranean Regions

Blue Energy (BE) is expected to play a strategic role in the energy transition of Europe, particularly toward the 2050 horizon. It refers to a set of Marine Energy Sources (MES), including offshore wind, waves, tides, marine currents, sea thermal energy, salinity gradients, and marine biomass, which are exploited by different BE technologies. Nevertheless, the implementation of integrated solutions to exploit MES in marine areas does not just concern technological issues; it requires inclusive planning practices considering different aspects regarding climate and environmental impacts, landscape compatibility, interference with other marine activities (such as shipping, fishing, and tourism), and social acceptance. A replicable BE planning framework has been developed based on interdisciplinary knowledge in three Mediterranean sites in Greece, Croatia, and Cyprus, under the scope of the Interreg Med BLUE DEAL project. It has been implemented by some interdisciplinary experts through a collaborative and iterative process of data elaboration, mapping, evaluation, and visualization. Results concern the localization of suitable sites to install BE plants and the estimation of potential energy production and avoided emissions in selected scenarios. Together with visual simulations, this study shows the potential effects of the implementation of BE in specific marine areas, with a special focus on the most promising offshore floating wind farms and wave energy converters (WECs), as basic information for participative design and stakeholder engagement initiatives, including public authorities, businesses, and citizens

Bottom-up Infrastructures: Aligning Politics and Technology in building a Wireless Community Network

Contemporary innovation in infrastructures is increasingly characterized by a close relationship between experts and lay people. This phenomenon has attracted the attention from a wide range of disciplines, including computer-supported cooperative work (CSCW), science and technology studies (S&TS), organization studies and participatory design (PD). Connecting to this broad area of research, the article presents a qualitative case study concerning the building and maintenance of a grassroots, bottom-up information infrastructure in Italy, defined as wireless community network (WCN). Methodologically, the research is based on qualitative interviews with participants to the WCN, ethnographic observations and document analysis. The aim of the article is to understand the alignment between the technical work implied in building this bottom-up infrastructure and the political and cultural frameworks that move people to participate to this project. Relying on the field of science & technology studies, and in particular on the notions of ‘inverse infrastructure’ and ‘research in the wild’, we disclose the WCN’s peculiar innovation trajectory, localized outside conventional spaces of research and development. Overall, the presentation of the qualitative and ethnographic data allows to point out a more general reflection on bottom-up infrastructures and to enrich the academic debate concerning bottom-up infrastructuring work and other similar typologies of collaborative design projects in the domain of infrastructures

Motorcycling edgework: A practice theory perspective

In an effort to elucidate a deep understanding of the experience of dangerous motorcycling behaviour, we employ a practice theory perspective, drawing out connections between the practice, the consumption of objects, and the meanings surrounding both. Using the Biographical Narrative Interpretive Method (BNIM), we offer possible explanations as to why, in the face of troubling accident statistics, some motorcyclists continue to drive at excessive speeds. Narrative accounts portray dangerous motorcycling practice as autotelic, impulsive edgework, incorporating a strong connection between rider and machine, and embedded with symbolic, emotional values that cannot be accounted for by traditional rational choice models. Our findings allow for the potential of policymakers to address such motorcycling practice in ways more meaningful to those engaged in it