#immigrants project: the on-line perception of integration

[EN] This paper analyses the content of Twitter’s comments during the period covering the last European elections. "#immigrants" is the extraction’s keyword in different national languages. With the exception of English and French, whose extraction would be misleading, all of the other languages have been chosen to catch the geographical area of reference. We made sure to extract at least two sentences for each Welfare area. Once the data have been extracted, three different strategies have been used. The first one, dealing with both a qualitative and a quantitative assessment; the second one, analysing automatically the content of the top 10 extracted tweets during the reference period and the third one based on network analysis. Through a deep analysis of the content, three clusters have been identified: the first one dealing with the cultural risks of multiculturalism; the second one (social risks) dealing with the fear of migrants stealing job vacancies and the third one dealing with economic risks. A deep network analysis of Italian and Spanish contexts follows. What emerges is that: communication is extremely heterogeneous; in Italy there unique and duplicated edges prevails; in Spain there are more groups than in Italy, more themes covered and different kind of users and nets.D'agata, R.; Gozzo, S. (2020). #immigrants project: the on-line perception of integration. Editorial Universitat Politècnica de València. 321-331. https://doi.org/10.4995/CARMA2020.2020.11655OCS32133

Refusing to be safe. The Social Network Communication of deniers

[EN] This essay aims at showing the results of an analysis concerning communication on social networks by focusing on the collection of comments related to the pandemic. The analysis describes the structure of the communication, showing the presence of parallel communities and the different configuration of relational dynamics, selected contents, flows of communication, category of users and language. Complex network structures are identified branching from keywords like no-mask, covid-19, greenpass. Further attention is paid to the connection between online communication and the triggering of protests.D'agata, R.; Gozzo, S. (2022). Refusing to be safe. The Social Network Communication of deniers. En 4th International Conference on Advanced Research Methods and Analytics (CARMA 2022). Editorial Universitat Politècnica de València. 267-275. http://hdl.handle.net/10251/18957126727

COVID-19 policies and the arising of debate on twitter

This study focuses on the analysis of contacts and communications on Twitter concerning pandemic policies. The goal is both show mobilization processes rising from the web and detect main actors, themes, and contents within the European context. Through a mixed method procedure, we tried to identify the main themes and most relevant communities, the main users, the most relevant topics and languages, and the underlined meanings and differences related to languages (as proxies of areas). Monitoring the communication on 3 main topics (“no-mask”, “covid-19”, “greenpass”), we noticed the weight of the gap between the government's attempts to communicate information motivating measures geared toward managing the crisis and the perceptions of private users. These perceptions spread through the web with such force the more the emotional, ironic, or polemical plane weighs. In this sense, online communication could be considered a tool for understanding the weight of the interaction between the institutional, social, and private dimensions, with effects on the social construction of identities. Digital communication is becoming an element of this process. The paper describes the “reassuring” role played by the digital community in the construction of ontological forms of security resulting from the construction of a shared digital culture. Results show the emergence of digital communities, structured on reference hubs and standing out from the detected phenomenon, prevalence of idioms and even language structures. The relevant role of the emotional (French), ironic (Italian), protest (English) component is confirmed, but also the changing and fluid structure of the debate and the co-presence of many parallel discussion communities

Original immunophenotype of blood endothelial progenitor cells and microparticles in patients with isolated arterial erectile dysfunction and late onset hypogonadism: effects of androgen replacement therapy.

Blood endothelial progenitor cells (EPCs) and endothelial microparticles (EMPs) have been proposed as markers of endothelial dysfunction. Aim of this study was to evaluate an original immunophenotype of EPCs and EMPs in patients with isolated arterial erectile dysfunction (ED) and late onset hypogonadism (LOH) before and after androgen replacement therapy.Fifty patients (50-64 years) with ED and LOH were selected. EPC (CD45(neg)/CD34(pos)/CD144(pos)) and EMP (CD45(neg)/CD34(neg)/CD144(pos)) blood concentrations were evaluated by flow cytometry. Thirty patients received androgen replacement therapy (Tostrex® ProStrakan) for 6 months (group A), other 20 patients not received androgen therapy for the contraindications in their clinical history (group B).After 6 months, group B showed IIEF-5 score, peak systolic velocity and acceleration time significantly worse than group A; in addition EPCs and EMPs were significantly higher in group B compared to group A.Patients with isolated arterial ED and LOH not treated with androgen therapy showed worst vascular parameters measured by penile Doppler and higher EPCs and EMPs compared to treated hypogonadal patients, hence, LOH appears to be an additional vascular risk factor, and these markers may be considered as predictors of cavernous artery disease. Finally, androgen therapy improves endothelial dysfunction

Trojan Horse Investigation for AGB Stellar Nucleosynthesis

Asymptotic Giant Branch (AGB) stars are among the most important astrophysical sites influencing the nucleosynthesis and the chemical abundances in the Universe. From a pure nuclear point of view, several processes take part during this peculiar stage of stellar evolution thus requiring detailed experimental cross section measurements. Here, we report on the most recent results achieved via the application of the Trojan Horse Method (THM) and Asymptotic Normalization Coefficient (ANC) indirect techniques, discussing the details of the experimental procedure and the deduced reaction rates. In addition, we report also on the on going studies of interest for AGB nucleosynthesis

The 10B(p,α)7Be S(E)-factor from 5 keV to 1.5 MeV using the Trojan Horse Method

The 10 B(p, α ) 7 Be reaction is the main responsible for the 10 B destruction in stellar interior [1]. In such environments this p-capture process occurs at a Gamow energy of 10 keV and takes places mainly through a resonant state (Ex = 8.701 MeV) of the compound 11 C nucleus. Thus a resonance right in the region of the Gamow peak is expected to significantly influence the behavior of the astrophysical S(E)-factor. The 10 B(p, α ) 7 Be reaction was studied via the Trojan Horse Method (THM) applied to the 2 H( 10 B, α 7 Be)n in order to extract the astrophysical S(E)-factor in a wide energy range from 5 keV to 1.5 MeV

The ‘words’ of no green pass communities on twitter: a two-mode semantic network analysis

The most extreme positions against anti pandemic government measures are concentrated in the most democratic countries. Therefore, on the one hand, freedom of speech is guaranteed, being it the essence of modern democracy; on the other stands the awareness of the risks that this freedom implies for the entire community. We are facing what some scholars call "the dilemma" of democracies. Increasing the drastic consequences of this dilemma is undoubtedly the communicative power of social networks. In this work, starting from data collected on Twitter from 25-Sep-2021 to 22-Oct-2021 (that is the period when local elections in many important cities of Italy took place) concerning the green pass debate in Italy, we construct a two-mode Semantic Network, which is a bipartite graph that describes connections between two types of nodes, social actors (in our case twitter users) and semantic concepts. In particular, in the first step data-tweets size will be significantly reduced; in the second step, a content analysis will be run to pinpoint the concepts underneath them. To detect communities of users and concepts, we use a proper two-mode community detection approach, i.e. an extension of the fastgreedy suited for the bipartite network called “DIRTLPAwb+”. The aim is to identify communities of users expressing different opinions and concepts within the green pass debate