Detection of Communities of Agents Interacting through Regional Innovation Policies

The detection of communities of agents that interacted over time through regional innovation policies is analyzed through the application of three methodologies: Clique Percolation Method (CPM) by Palla et al. (2005), Infomap by Rosvall and Bergstrom (2008), and Dynamic Cluster Index analysis (DCI) by Villani et al. (2013). The case study regards the policy interventions implemented by region Tuscany (Italy) in 2000-2006 with the aim of supporting innovative network projects among local actors. In a context of analysis centered on such a complex object as innovation, and affected by discontinuous temporal dynamics and changing configurations of partnerships of agents, the three methodologies are applied to investigate different specific aspects of community organizations aimed at developing innovative activities. For every methodology three models are developed. In CPM, the elaboration of three models following the observation of the features of all possible partitions makes it possible to overcome the problematic definition of the value of k. In Infomap, the observation of the chronological order in which funded projects were carried out is used to impose different restrictions on the circulation of simulated flows. Finally, the application of DCI analysis to a socio-economic context is developed through the elaboration of different variables describing agents’ behavioral profiles, and through an original contribution in using a cluster analysis aimed at coping with the large quantity of results that the algorithm produces. The investigation of relational structures (through CPM), of shared processes (through Infomap) and of integrated behaviors (through DCI analysis) allowed the identification of communities that reveal, respectively, meaningful characterizations in terms of agents’ participations in specific waves of the policy, of agents’ participations in projects operating in particular technological domains, and in terms of agents’ institutional typologies.Per individuare comunità di agenti che nel tempo hanno interagito in politiche regionali a sostegno dell’innovazione, si propone l’utilizzo di tre metodologie: Clique Percolation Method (CPM) (Palla et al. 2005), Infomap (Rosvall e Bergstrom 2008), e la Dynamic Cluster Index analysis (DCI) (Villani et al. 2013). Il caso di studio riguarda la serie di politiche messe in atto dalla regione Toscana, nel ciclo di programmazione 2000-2006, con lo scopo di sostenere progetti di reti innovative nel territorio. Nell’analisi di un contesto che riguarda attività innovative, caratterizzato da forti discontinuità temporali nell’implementazione delle politiche e da mutevoli configurazioni nelle collaborazioni, sono state applicate le metodologie citate al fine di indagare tre specifici aspetti che caratterizzano le comunità di agenti con riferimento alla capacità di sviluppare processi innovativi. Lo studio delle strutture relazionali presenti (attraverso il CPM), dei processi di interazione osservati (attraverso Infomap), e dell’integrazione dei comportamenti degli agenti (attraverso la DCI analysis) hanno condotto all’elaborazione di tre modelli di analisi distinti per ciascuna di queste metodologie. Nell’ambito del CPM, la problematica definizione del valore di k è stata affrontata attraverso l’approfondimento delle caratteristiche delle possibili partizioni. Per l’applicazione di Infomap sono state elaborate simulazioni di flussi informativi in grado di tenere conto della sequenza temporale dei progetti finanziati. Infine, nell’ambito del DCI, un primo processo esplorativo, necessario per comprendere come applicare in modo coerente tale metodologia ad un contesto di tipo socio-economico, è stato seguito da due ulteriori modelli in cui l’originale introduzione di una analisi cluster ha consentito di gestire l’enorme mole di output prodotta dall’algoritmo. I risultati mostrano, rispettivamente, partizioni con comunità caratterizzate in termini di partecipazioni a specifici bandi (CPM), in termini di partecipazioni a progetti in specifici ambiti tecnologici (Infomap), e in termini di tipologia degli agenti coinvolti (DCI)

Astro-photography as an effective tool for Outreach and Education: IACT in exposition

In our epoch, images are a powerful way to convey a message to a large audience. Through the use of amazing astronomical photographs, science can be communicated effectively at different levels, to a very diverse audience of all ages. In fact, astrophotography combines aesthetic appeal with the illustration of the science behind astronomical phenomena. This is the aim of the exhibit "A che Punto \`e la NOTTE - A scientific exhibition of astrophotography" organized by us in Italy, in October 2020, with the partnership of the cultural association PhysicalPub. Many different authors, both single individuals and professional or amateur observatories, were asked to send their best pictures. The 54 astronomical images chosen by a scientific committee, categorised in three different topics (night landscape, deep sky, instrumentation), were seen by more than 2000 visitors and 11 school groups (despite the difficult period due to the COVID pandemic). A free audio-guide, available on-line through a web-application developed on purpose, delivered scientific explanations of images for self-guided tours. Conferences and guided tours were also organized. The highlight of the exhibit were four mirrors from the MAGIC telescope and an ASTRI scale-model that allowed an in-depth description of how an Imaging Atmospheric Cherenkov Telescope (IACT) works, introducing the science of VHE cosmic radiation. We will summarize the main difficulties in organizing this event and the feedback we had from the visitors. The exhibit is still available online, visiting the website mostrascientifica.it or via the web audio-guide (english and italian) at guida.mostrascientifica.it.Comment: 8 pages, 5 figures, Proceedings of the 37th International Cosmic Ray Conference (ICRC 2021), Berlin, German

Primary vascular bone tumors in the spine: a challenge for pathologists and spine oncology surgeons

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PREDICT 2017 Country Factsheets: EU Member States – Benchmarking with Non-EU Countries

The PREDICT 2017 Factsheets present essential statistical data regarding the performance of the EU ICT sector. They provide figures and tables on general economic and industry trends and R&D performance. These Factsheets are the subject of three reports. This third report presents Factsheets on the EU in total and 12 non-EU countries: Norway, Switzerland, Australia, Brazil, Canada, China, India, Japan, Korea, Russia, Taiwan and the United States. The first report on ‘Data in Current Prices’ and the second report on ‘Purchasing Power Standard’ present sets of Factsheets with data on each EU Member State and compare it to the EU average.JRC.B.6-Digital Econom

PREDICT 2017 Country Factsheets: EU Member States – Purchasing Power Standard

The PREDICT 2017 Factsheets present essential statistical data regarding the performance of the EU ICT sector. They provide figures and tables on general economic and industry trends and R&D performance. These Factsheets are the subject of three reports. This report on ‘Purchasing Power Standard’ and the second report on ‘Data in Current Prices’ present sets of Factsheets with data on each EU Member State, in comparison to the EU average. The third report presents Factsheets on the EU and 12 non-EU countries: Australia, Brazil, Canada, China, India, Japan, Korea, Norway, Russia, Switzerland, Taiwan and the United States.JRC.B.6-Digital Econom

PREDICT 2017 Country Factsheets: EU Member States – Data in Current Prices

The PREDICT 2017 Factsheets present essential statistical data regarding the performance of the EU ICT sector. They provide figures and tables on general economic and industry trends and R&D performance. These Factsheets are the subject of three reports. This report on ‘Data in Current Prices’ and the second report on ‘Purchasing Power Standard’ present sets of Factsheets with data on each EU Member State, in comparison to the EU average. The third report presents Factsheets on the EU and 12 non-EU countries: Australia, Brazil, Canada, China, India, Japan, Korea, Norway, Russia, Switzerland, Taiwan and the United States.JRC.B.6-Digital Econom

Coronary computed tomography angiography using model-based iterative reconstruction algorithms in the detection of significant coronary stenosis : how the plaque type influences the diagnostic performance

Purpose: To evaluate the ability of coronary computed tomography angiography (CCTA) with model-based iterative reconstruction (MBIR) algorithm in detecting significant coronary artery stenosis compared with invasive coronary angiography (ICA). Material and methods: We retrospectively identified 55 patients who underwent CCTA using the MBIR algorithm with evidence of at least one significant stenosis (≥ 50%) and an ICA within three months. Patients were stratified based on calcium score; stenoses were classified by type and by coronary segment involved. Dose-length-product was compared with the literature data obtained with previous reconstruction algorithms. Coronary artery stenosis was estimated on ICAs based on a qualitative method. Results: CCTA data were confirmed by ICA in 89% of subjects, and in 73% and 94% of patients with CS < 400 and ≥ 400, respectively. ICA confirmed 81% of calcific stenoses, 91% of mixed, and 67% of soft plaques. Both the dose exposure of patients with prospective acquisition (34) and the exposure of the whole population were significantly lower than the standard of reference (p < 0.001 and p = 0.007). Conclusions: CCTA with MBIR is valuable in detecting significant coronary artery stenosis with a solid reduction of radiation dose. Diagnostic performance was influenced by plaque composition, being lower compared with ICA for patients with lower CAC score and soft plaques; the visualisation of an intraluminal hypodensity could cause false positives, particularly in D1 and MO segments

Concealed SARS-CoV-2 interstitial pneumonia unmasked by infarct-like acute myocarditis

A 38-year-old otherwise healthy man presented to the emergency department for sudden-onset oppressive chest pain. On admission, vital parameters were within normal limits and physical examination was unremarkable. Since the ECG showed mild ST-segment eleva- tion in the inferior leads (Panel A), he underwent urgent coronary angiography which ruled out obstructive coronary artery disease (Panel B). Transthoracic echocardiogram showed preserved left ven- tricular (LV) ejection fraction with inferolateral wall hypokinesis. The peak of high-sensitive troponin I was 4038 ng/L (normal value &lt;20). Acute myocarditis was suspected, and a cardiac magnetic resonance (CMR) was performed. High signal intensity (SI) of the mid-basal LV lateral wall on T2 short tau inversion recovery (STIR) sequences con- sistent with myocardial oedema (Panel C) and subepicardial late gado- linium enhancement in the same location (Panel D) were detected. Unexpectedly, areas of high SI on T2-STIR images were also noted on both lungs (Panel C), suggesting a pulmonary inflammatory pro- cess. Despite an initially negative chest X-ray, computed tomography revealed bilateral ground-glass opacity with multifocal consolidation and thickening of interlobular septa consistent with interstitial pneumonia (Panel E). Considering the ongoing coronavirus outbreak, a nasopharyngeal swab was obtained resulting positive for severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2) infection. The patient remained free from either cardiovascular or respiratory symptoms and presented only mild fever (37.5C). Laboratory tests detected an increase of transaminases and C-reactive protein (6.73 mg/dL; normal value &lt;0.5) with stable lymphocytopenia. After 20 days of hospitalization, he was discharged with the diagnosis of infarct-like myocarditis associated with subclinical SARS-CoV-2 respiratory infection. Acute myocarditis in the setting of SARS-CoV-2 infection has been anecdotally reported and its mechanism remains to be elucidated. So far, the SARS-CoV-2 genome has never been detected within the myocardium, suggesting an immune-mediated inflammatory myocardial injury. For the first time we reported a case of subclinical SARS-CoV-2 interstitial pneumonia occasionally unmasked by CMR performed for acute myocarditis

Role of cardiac magnetic resonance in MINOCA of unclear etiology: A case report of a suspicious paradoxical coronary embolism

The acronym MINOCA (Myocardial Infarction with Non-Obstructive Coronary Arteries) refers to myocardial infarction with normal or near-normal coronary arteries on invasive angiography. The broad spectrum of pathological mechanisms responsible for myocardial injury in MINOCA makes defining the exact underlying etiology challenging. We report the uncommon case of an acute myocardial infarction with normal coronary arteries suggestive of MINOCA caused by paradoxical coronary embolism due to a wide right-to- left shunting through a patent fossa ovalis. Integrated multimodality imaging diagnostic work-up, including cardiac magnetic resonance, transesophageal contrast echocardiography, and transcranial contrast Doppler, has been crucial for identifying the most likely mechanism underlying MINOCA