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3. The CAESAR Project for the ASI Space Weather Infrastructure

Author

Laurenza, M., Del Moro, D., Alberti, T., Battiston, R., Benella, S., Benvenuto, F., Berrilli, F., Bertello, I., Bertucci, B., Biasiotti, L., Campi, C., Carbone, V., Casolino, M., Cecchi Pestellini, C., Chiappetta, F., Coco, I., Colombo, S., Consolini, G., D’Amicis, R., De Gasperis, G., De Marco, R., Del Corpo, A., Diego, P., Di Felice, V., Di Fino, L., Di Geronimo, C., Faldi, F., Ferrente, F., Feruglio, C., Fiandrini, E., Fiore, F., Foldes, R., Formato, V., Francisco, G., Giannattasio, F., Giardino, M., Giobbi, P., Giovannelli, L., Giusti, M., Gorgi, A., Heilig, B., Iafrate, G., Ivanovski, S. L., Jerse, G., Korsos, M. B., Lepreti, F., Locci, D., Magnafico, C., Mangano, V., Marcucci, M. F., Martucci, M., Massetti, S., Micela, G., Milillo, A., Miteva, R., Molinaro, M., Mugatwala, R., Mura, A., Napoletano, G., Narici, L., Neubüser, C., Nisticò, G., Pauluzzi, M., Perfetti, A., Perri, S., Petralia, A., Pezzopane, M., Piersanti, M., Pietropaolo, E., Pignalberi, A., Plainaki, C., Polenta, G., Primavera, L., Romoli, G., Rossi, M., Santarelli, L., Santi Amantini, G., Siciliano, F., Sindoni, G., Spadoni, S., Sparvoli, R., Stumpo, M., Tomassetti, N., Tozzi, R., Vagelli, V., Vasantharaju, N., Vecchio, A., Vellante, M., Vernetto, S., Vigorito, C., West, M. J., Zimbardo, G., Zucca, P., and Zuccon, F. Zuccarell and P.

Subjects
and a total of 92 researchers. The CAESAR approach encompasses the whole chain of phenomena from the Sun to Earth up to planetary environments in a multidisciplinary, and will integrate currently available international SWE assets to foster scientific studies and advance forecasting capabilities, which aims to tackle the relevant aspects of Space Weather (SWE) science and develop a prototype of the scientific data centre for SpaceWeather of the Italian Space Agency (ASI) called ASPIS (ASI SPaceWeather InfraStructure). To this end, models), an interface, and a wiki-like documentation structure. The DB will be accessed through both a Web graphical interface and the ASPIS.py module, a library of functions in Python, which exhibit noticeable SWE characteristics from several SWE perspectives. CAESAR investigations synergistically exploit a great variety of different products (datasets, CAESAR involves the majority of the SWE Italian community, codes, comprehensive, This paper presents the project Comprehensive spAce wEather Studies for the ASPIS prototype Realization (CAESAR), bringing together 10 Italian institutions as partners, both long-standing and novel, i.e, This paper presents the project Comprehensive spAce wEather Studies for the ASPIS prototype Realization (CAESAR), which aims to tackle the relevant aspects of Space Weather (SWE) science and develop a prototype of the scientific data centre for SpaceWeather of the Italian Space Agency (ASI) called ASPIS (ASI SPaceWeather InfraStructure). To this end, CAESAR involves the majority of the SWE Italian community, bringing together 10 Italian institutions as partners, and a total of 92 researchers. The CAESAR approach encompasses the whole chain of phenomena from the Sun to Earth up to planetary environments in a multidisciplinary, comprehensive, and unprecedented way. Detailed and integrated studies are being performed on a number of well-observed “target SWE events”, which exhibit noticeable SWE characteristics from several SWE perspectives. CAESAR investigations synergistically exploit a great variety of different products (datasets, codes, models), both long-standing and novel, that will be made available in the ASPIS prototype: this will consist of a relational database (DB), an interface, and a wiki-like documentation structure. The DB will be accessed through both a Web graphical interface and the ASPIS.py module, i.e., a library of functions in Python, which will be available for download and installation. The ASPIS prototype will unify multiple SWE resources through a flexible and adaptable architecture, and will integrate currently available international SWE assets to foster scientific studies and advance forecasting capabilities, that will be made available in the ASPIS prototype: this will consist of a relational database (DB), and unprecedented way. Detailed and integrated studies are being performed on a number of well-observed “target SWE events”, which will be available for download and installation. The ASPIS prototype will unify multiple SWE resources through a flexible and adaptable architecture
Published
2023

5. Corrigendum: The silent epidemic of diabetic ketoacidosis at diagnosis of type 1 diabetes in children and adolescents in italy during the covid-19 pandemic in 2020(Front. Endocrinol., (2022), 13, (878634), 10.3389/fendo.2022.878634)

Author

Cherubini, V., Marino, M., Scaramuzza, A. E., Tiberi, V., Bobbio, A., Delvecchio, M., Piccinno, E., Ortolani, F., Innaurato, S., Felappi, B., Gallo, F., Ripoli, C., Ricciardi, M. R., Pascarella, F., Stamati, F. A., Citriniti, F., Arnaldi, C., Monti, S., Graziani, V., De Berardinis, F., Giannini, C., Chiarelli, F., Zampolli, M., De Marco, R., Bracciolini, G. P., Grosso, C., De Donno, V., Piccini, B., Toni, S., Coccioli, S., Cardinale, G., Bassi, M., Minuto, N., D?annunzio, G., Maffeis, C., Marigliano, M., Zanfardino, A., Iafusco, D., Rollato, A. S., Piscopo, A., Curto, S., Lombardo, F., Bombaci, B., Sordelli, S., Mameli, C., Macedoni, M., Rigamonti, A., Bonfanti, R., Frontino, G., Predieri, B., Bruzzi, P., Mozzillo, E., Rosanio, F., Franzese, A., Piredda, G., Cardella, F., Iovane, B., Calcaterra, V., Berioli, M. G., Lasagni, A., Pampanini, V., Patera, P. I., Schiaffini, R., Rutigliano, I., Meloni, G., De Sanctis, L., Tinti, D., Trada, M., Guerraggio, L. P., Franceschi, R., Cauvin, V., Tornese, G., Franco, F., Musolino, G., Maltoni, G., Talarico, V., Iannilli, A., Lenzi, L., Matteoli, M. C., Pozzi, E., Moretti, C., Zucchini, S., Rabbone, I., Gesuita, R., Cherubini, V., Marino, M., Scaramuzza, A. E., Tiberi, V., Bobbio, A., Delvecchio, M., Piccinno, E., Ortolani, F., Innaurato, S., Felappi, B., Gallo, F., Ripoli, C., Ricciardi, M. R., Pascarella, F., Stamati, F. A., Citriniti, F., Arnaldi, C., Monti, S., Graziani, V., De Berardinis, F., Giannini, C., Chiarelli, F., Zampolli, M., De Marco, R., Bracciolini, G. P., Grosso, C., De Donno, V., Piccini, B., Toni, S., Coccioli, S., Cardinale, G., Bassi, M., Minuto, N., D'Annunzio, G., Maffeis, C., Marigliano, M., Zanfardino, A., Iafusco, D., Rollato, A. S., Piscopo, A., Curto, S., Lombardo, F., Bombaci, B., Sordelli, S., Mameli, C., Macedoni, M., Rigamonti, A., Bonfanti, R., Frontino, G., Predieri, B., Bruzzi, P., Mozzillo, E., Rosanio, F., Franzese, A., Piredda, G., Cardella, F., Iovane, B., Calcaterra, V., Berioli, M. G., Lasagni, A., Pampanini, V., Patera, P. I., Schiaffini, R., Rutigliano, I., Meloni, G., De Sanctis, L., Tinti, D., Trada, M., Guerraggio, L. P., Franceschi, R., Cauvin, V., Tornese, G., Franco, F., Musolino, G., Maltoni, G., Talarico, V., Iannilli, A., Lenzi, L., Matteoli, M. C., Pozzi, E., Moretti, C., Zucchini, S., Rabbone, I., and Gesuita, R.

Subjects
socioeconomic status, COVID - 19, type 1 diabetes, DKA, socioeconomic statu, diabetes onset
Abstract

In the published article, there was an error in affiliation(s) 29. Instead of “Departement of Pediatrics, Diabetes Research Institute, IRCCS San Raffaele, Milano, Italy”, it should be “Diabetes Research Institute, IRCCS San Raffaele Hospital, Milan, Italy”. The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.

Published
2022

8. Long-term albumin administration improves survival in outpatients with decompensated cirrhosis and diabetes: post-hoc analysis of the ANSWER Trial

Author

Zaccherini, G., De Venuto, C., Baldassarre, M., Pompili, E., Iannone, G., Riggio, O., Angeli, P., Alessandria, C., Neri, S., Foschi, F.G., Levantesi, F., Airoldi, A., Simone, L., Svegliati-Baroni, G., Fagiuoli, S., Laffi, G., Cozzolongo, R., Di Marco, V., Sangiovanni, V., Morisco, F., Toniutto, P., Tortora, A., De Marco, R., Nardelli, S., Piano, S., Elia, C., Caraceni, P., and Bernardi, M.

Published
2024
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9. Diabetic ketoacidosis at the onset of disease during a national awareness campaign: A 2-year observational study in children aged 0-18 years

Author

Rabbone I., Maltoni G., Tinti D., Zucchini S., Cherubini V., Bonfanti R., Scaramuzza A., Lera R., Bobbio A., Piccinno E., Reinstadler P., Felappi B., Prandi E., Gallo F., Frongia AP., Ripoli C., Lo Presti D., Tomaselli L., Cardinale G., Stamati FA., Citriniti F., Suprani T., Graziani V., De Berardinis F., Zampolli M., De Marco R., Cavalli C., Lazzaro N., De Donno V., Toni S., Piccini B., Lenzi L., Mainetti B., Coccioli MS., d'Annunzio G., Minuto N., Aloe S., Lucchesi D., Cirillo S., Sordelli M., Del Vecchio F., Salzano LG., Meschi F., Iughetti L., Predieri B., Franzese A., Mozzillo Enza., Iafusco D., Cadario F., Savastio S., Piredda G., Cardella F., Iovane B., Calcaterra V., Berioli MG., Biagioni M., Randazzo E., Patera I., Schiaffini R., Rutigliano I., Lasagni A., Innaurato S., Gaiero A., Fichera G., Trada M., Guerraggio L., Cauvin V., Franceschi R., Tornese G., Salvatoni A., Marigliano M., Sabbion A., Maffeis C., Arnaldi C., Rabbone, I., Maltoni, G., Tinti, D., Zucchini, S., Cherubini, V., Bonfanti, R., Scaramuzza, A., Lera, R., Bobbio, A., Piccinno, E., Reinstadler, P., Felappi, B., Prandi, E., Gallo, F., Frongia, Ap., Ripoli, C., Lo Presti, D., Tomaselli, L., Cardinale, G., Stamati, Fa., Citriniti, F., Suprani, T., Graziani, V., De Berardinis, F., Zampolli, M., De Marco, R., Cavalli, C., Lazzaro, N., De Donno, V., Toni, S., Piccini, B., Lenzi, L., Mainetti, B., Coccioli, Ms., D'Annunzio, G., Minuto, N., Aloe, S., Lucchesi, D., Cirillo, S., Sordelli, M., Del Vecchio, F., Salzano, Lg., Meschi, F., Iughetti, L., Predieri, B., Franzese, A., Mozzillo, Enza., Iafusco, D., Cadario, F., Savastio, S., Piredda, G., Cardella, F., Iovane, B., Calcaterra, V., Berioli, Mg., Biagioni, M., Randazzo, E., Patera, I., Schiaffini, R., Rutigliano, I., Lasagni, A., Innaurato, S., Gaiero, A., Fichera, G., Trada, M., Guerraggio, L., Cauvin, V., Franceschi, R., Tornese, G., Salvatoni, A., Marigliano, M., Sabbion, A., Maffeis, C., Arnaldi, C., Rabbone, Ivana, Maltoni, Giulio, Tinti, Davide, Zucchini, Stefano, Cherubini, Valentino, Bonfanti, Riccardo, Scaramuzza, Andrea, Lera, Riccardo, Bobbio, Adriana, Piccinno, Elvira, Reinstadler, Petra, Felappi, Barbara, Prandi, Elena, Gallo, Francesco, Frongia, Anna Paola, Ripoli, Carlo, Lo Presti, Donatella, Tomaselli, Letizia, Cardinale, Giuliana, Stamati, Filomena Andreina, Citriniti, Felice, Suprani, Tosca, Graziani, Vanna, De Berardinis, Fiorella, Zampolli, Maria, De Marco, Rosaria, Cavalli, Claudio, Lazzaro, Nicola, De Donno, Valeria, Toni, Sonia, Piccini, Barbara, Lenzi, Lorenzo, Mainetti, Benedetta, Coccioli, Maria Susanna, D’Annunzio, Giuseppe, Minuto, Nicola, Aloe, Monica, Lucchesi, Sonia, Cirillo, Dante, Sordelli, Silvia, Delvecchio, Maurizio, Lombardo, Fortunato, Salzano, Giusy, Meschi, Franco, Iughetti, Lorenzo, Predieri, Barbara, Franzese, Adriana, Mozzillo, Enza, Iafusco, Dario, Cadario, Francesco, Savastio, Silvia, Cardella, Francesca, Iovane, Brunella, Calcaterra, Valeria, Berioli, Maria Giulia, Biagioni, Martina, Randazzo, Emioli, Patera, Ippolita Patrizia, Schiaffini, Riccardo, Rutigliano, Irene, Lasagni, Anna, Innaurato, Silvia, Gaiero, Alberto, Fichera, Grazziella, Trada, Michela, Guerraggio, Lucia, Cauvin, Vittoria, Franceschi, Roberto, Tornese, Gianluca, Salvatoni, Alessandro, Marigliano, Marco, Sabbion, Alberto, Maffeis, Claudio, and Arnaldi, Claudia

Subjects
Blood Glucose, Male, medicine.medical_specialty, Pediatrics, endocrine system diseases, Diabetic ketoacidosis, Adolescent, 030209 endocrinology & metabolism, Disease, 03 medical and health sciences, 0302 clinical medicine, diabetic ketoacidosis, Patient Education as Topic, Diabetes mellitus, Epidemiology, Medicine, Humans, 030212 general & internal medicine, Prospective Studies, Child, Type 1 diabetes, diabetes, business.industry, Incidence (epidemiology), Incidence, epidemiology, Infant, Newborn, diabetic ketoacidosi, nutritional and metabolic diseases, Infant, medicine.disease, Diabetes Mellitus, Type 1, Italy, diabete, Child, Preschool, Pediatrics, Perinatology and Child Health, Observational study, Female, business, Prevention campaign
Abstract

ObjectiveAfter a previous survey on the incidence of diabetic ketoacidosis (DKA) at onset of type 1 diabetes in children in 2013–2014 in Italy, we aimed to verify a possible decline in the incidence of DKA at onset during a national prevention campaign.DesignProspective observational study.SettingMulticentre study throughout Italy.InterventionNational awareness campaign started in November 2015 and held until December 2017.PatientsDuring 2016 and 2017 we collected data on all patients aged 0–18 years with new-onset diabetes.Main outcome measuresDKA (pH ResultsRecords (n=2361) of children with newly diagnosed type 1 diabetes were collected from 58 out of 68 (85.3%) centres of the original survey participants and 100% of the previously surveyed tertiary centres. Overall, DKA was observed in 1124 patients, with an increased rate when compared with the previous survey (47.6% vs 38.5%, p=0.002), and severe DKA in 15.3%. In children below 6 years, DKA was observed in 323 out of 617 (52.5%) and severe DKA in 16.7%; in this age group, occurrence of DKA reduced by 21.3% (p=0.009). DKA treatment according to the ISPED guidelines was adopted in 95% of the centres, with a 27% improvement (p=0.025).ConclusionsDuring a 2-year awareness campaign, DKA at onset of diabetes in children and adolescents 0–18 years is still common and increased when compared with the 2013–2014 survey.

Published
2020

15. The Solar Orbiter Science Activity Plan

Author

Zouganelis, I., De Groof, A., Walsh, A., Williams, D., Müller, D., St Cyr, O., Auchère, F., Berghmans, D., Fludra, A., Horbury, T., Howard, R., Krucker, S., Maksimovic, M., Owen, C., Rodríguez-Pacheco, J., Romoli, M., Solanki, S., Watson, C., Sanchez, L., Lefort, J., Osuna, P., Gilbert, H., Nieves-Chinchilla, T., Abbo, L., Alexandrova, O., Anastasiadis, A., Andretta, V., Antonucci, E., Appourchaux, T., Aran, A., Arge, C., Aulanier, G., Baker, D., Bale, S., Battaglia, M., Bellot Rubio, L., Bemporad, A., Berthomier, M., Bocchialini, K., Bonnin, X., Brun, A., Bruno, R., Buchlin, E., Büchner, J., Bucik, R., Carcaboso, F., Carr, R., Carrasco-Blázquez, I., Cecconi, B., Cernuda Cangas, I., Chen, C., Chitta, L., Chust, T., Dalmasse, K., D’Amicis, R., Da Deppo, V., De Marco, R., Dolei, S., Dolla, L., Dudok de Wit, T., Van Driel-Gesztelyi, L., Eastwood, J., Espinosa Lara, F., Etesi, L., Fedorov, A., Félix-Redondo, F., Fineschi, S., Fleck, B., Fontaine, D., Fox, N., Gandorfer, A., Génot, V., Georgoulis, M., Gissot, S., Giunta, A., Gizon, L., Gómez-Herrero, R., Gontikakis, C., Graham, G., Green, L., Grundy, T., Haberreiter, M., Harra, L., Hassler, D., Hirzberger, J., Ho, G., Hurford, G., Innes, D., Issautier, K., James, A., Janitzek, N., Janvier, M., Jeffrey, N., Jenkins, J., Khotyaintsev, Y., Klein, K.-L., Kontar, E., Kontogiannis, I., Krafft, C., Krasnoselskikh, V., Kretzschmar, M., Labrosse, N., Lagg, A., Landini, F., Lavraud, B., Leon, I., Lepri, S., Lewis, G., Liewer, P., Linker, J., Livi, S., Long, D., Louarn, P., Malandraki, O., Maloney, S., Martinez-Pillet, V., Martinovic, M., Masson, A., Matthews, S., Matteini, L., Meyer-Vernet, N., Moraitis, K., Morton, R., Musset, S., Nicolaou, G., Nindos, A., O’Brien, H., Orozco Suarez, D., Owens, M., Pancrazzi, M., Papaioannou, A., Parenti, S., Pariat, Etienne, Patsourakos, S., Perrone, D., Peter, H., Pinto, R., Plainaki, C., Plettemeier, D., Plunkett, S., Raines, J., Raouafi, N., Reid, H., Retinò, A., Rezeau, L., Rochus, P., Rodriguez, L., Rodriguez-Garcia, L., Roth, M., Rouillard, A., Sahraoui, F., Sasso, C., Schou, J., Schühle, U., Sorriso-Valvo, L., Soucek, J., Spadaro, D., Stangalini, M., Stansby, D., Steller, M., Strugarek, A., Štverák, Š., Susino, R., Telloni, D., Terasa, C., Teriaca, L., Toledo-Redondo, S., del Toro Iniesta, J., Tsiropoula, G., Tsounis, A., Tziotziou, K., Valentini, F., Vaivads, A., Vecchio, A., Velli, M., Verbeeck, C., Verdini, A., Verscharen, D., Vilmer, N., Vourlidas, A., Wicks, R., Wimmer-Schweingruber, R., Wiegelmann, T., Young, P., Zhukov, A., Laboratoire d'études spatiales et d'instrumentation en astrophysique (LESIA (UMR_8109)), Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université Paris Diderot - Paris 7 (UPD7)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Physique des Plasmas (LPP), Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-École polytechnique (X)-Sorbonne Université (SU)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Laboratoire d'études spatiales et d'instrumentation en astrophysique (LESIA), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de Paris, and Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS)

Subjects
[SDU]Sciences of the Universe [physics], [SDU.ASTR.SR]Sciences of the Universe [physics]/Astrophysics [astro-ph]/Solar and Stellar Astrophysics [astro-ph.SR], Physics::Space Physics, Astrophysics::Solar and Stellar Astrophysics, Astrophysics::Earth and Planetary Astrophysics, ComputingMilieux_MISCELLANEOUS
Abstract

International audience; Solar Orbiter is the first space mission observing the solar plasma both in situ and remotely, from a close distance, in and out of the ecliptic. The ultimate goal is to understand how the Sun produces and controls the heliosphere, filling the Solar System and driving the planetary environments. With six remote-sensing and four in-situ instrument suites, the coordination and planning of the operations are essential to address the following four top-level science questions: (1) What drives the solar wind and where does the coronal magnetic field originate?; (2) How do solar transients drive heliospheric variability?; (3) How do solar eruptions produce energetic particle radiation that fills the heliosphere?; (4) How does the solar dynamo work and drive connections between the Sun and the heliosphere? Maximising the mission's science return requires considering the characteristics of each orbit, including the relative position of the spacecraft to Earth (affecting downlink rates), trajectory events (such as gravitational assist manoeuvres), and the phase of the solar activity cycle. Furthermore, since each orbit's science telemetry will be downloaded over the course of the following orbit, science operations must be planned at mission level, rather than at the level of individual orbits. It is important to explore the way in which those science questions are translated into an actual plan of observations that fits into the mission, thus ensuring that no opportunities are missed. First, the overarching goals are broken down into specific, answerable questions along with the required observations and the so-called Science Activity Plan (SAP) is developed to achieve this. The SAP groups objectives that require similar observations into Solar Orbiter Observing Plans, resulting in a strategic, top-level view of the optimal opportunities for science observations during the mission lifetime. This allows for all four mission goals to be addressed. In this paper, we introduce Solar Orbiter's SAP through a series of examples and the strategy being followed.

Published
2020
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16. Italian SWA-Solar Orbiter Working Group on 'Particle Energization'

Author

Perri, S., Bemporad, A., Benella, S., Bruno, R., Catapano, F., d'Amicis, R., de Marco, R., Frassati, F., Grimani, C., Ippolito, A., Jagarlamudi, V. K., Laurenza, M., Lepreti, F., Nisticò, G., Pecora, F., Perrone, D., Pezzi, O., Plainaki, C., Prete, G., Pucci, F., Retino, A., Servidio, S., Susino, R., Trotta, D., Valentini, F., Zimbardo, G., and POTHIER, Nathalie

Subjects
ASTROPHYSICS, [SDU] Sciences of the Universe [physics], General or miscellaneous, Instruments and techniques, ASTRONOMY, SOLAR PHYSICS
Abstract

One of the outstanding scientific questions in space physics is how charged particles are accelerated up to supra-thermal energies and how they are transported through the inner heliosphere. Such problems match some of the scientific objectives of the Solar Orbiter Science Activity Plan and represent the main scientific cases discussed in the Italian SWA-Solar Orbiter Working Group (WG) on "Particle Energization" (https://sites.google.com/view/italian-solar-orbiter-swa/research-interests/particle-energization?authuser=0). The WG started its activities on May 2020 and gathers experts of in-situ observations, remote sensing, and numerical simulations. This variety of expertises is fundamental for reaching the science objectives. Indeed, candidates for particle acceleration are shocks driven by eruptive phenomena in the solar corona as the coronal mass ejections (CMEs). Thanks to the joint combination between in-situ (as MAG, SWA, EPD) and remote sensing (EUI, METIS) instruments on board Solar Orbiter and to its vicinity to the Sun, we will have the opportunity to study, with unprecedented precision, the onset of CMEs and the properties of the induced shocks propagating in the interplanetary medium. Thus, parameters as the sonic Mach number, the compression ratio and the shock geometry (both when shocks form in the corona and then propagate in the interplanetary space) will give a quantitative estimation of the shocks evolution and their capability to accelerate particles. Then, the investigation of the phenomena involved in the acceleration and propagation of solar energetic particles (SEPs) that were difficult to resolve from prior observations, will be carried out. Further, being close to the source of acceleration, it will be possible to investigate the properties of the local energetic particle "seed" population. In this abstract we would like to present the ongoing activity of the Italian SWA WG on "Particle Energization", pointing out the physical problems discussed during the last months, with particular focus on the possible analysis of Solar Orbiter data (both in-situ and remote sensing) in the framework of particle energization, which we propose to carry out once the data will be available to the scientific community.

Published
2020

17. Italian SWA-Solar Orbiter Working Group on 'Kinetic Processes'

Author

Valentini, F., Califano, F., Camporeale, E., Carbone, V., Cerri, S. S., d'Amicis, R., del Sarto, D., Franci, L., Innocenti, M. E., Landi, S., Lepreti, F., Malara, F., Matteini, L., Nigro, G., Papini, E., Pegoraro, F., Perri, S., Pezzi, O., Pucci, F., Retino, A., Servidio, S., Settino, A., Sorriso-Valvo, L., Telloni, D., Vecchio, A., Veltri, P., Verdini, A., Perrone, D., Bruno, R., de Marco, R., Pecora, F., Trotta, D., Lapenta, G., Marcucci, M. F., Jagarlamudi, V. K., Carnevale, G., and POTHIER, Nathalie

Subjects
ASTROPHYSICS, [SDU] Sciences of the Universe [physics], General or miscellaneous, Instruments and techniques, ASTRONOMY, SOLAR PHYSICS
Abstract

Since inter-particle collisions are to a large extent negligible, the solar wind plasma is typically observed in a state far from thermodynamic equilibrium, meaning that the velocity distributions of particles of different species display significant deviations from a single Maxwellian. These deviations retain the whole history of the interaction of particles with the turbulent electromagnetic fields. Simultaneous measurements of fields and particle velocity distributions at kinetic scales made at different radial distances can help in tracking this history backwards allowing one to identify the physical mechanisms at play to heat and accelerate particles in the interplanetary medium close to the Sun and all along solar wind expansion. In this scenario, data from the Solar Wind Analyzer instrument onboard the ESA Solar Orbiter mission are very promising in addressing the kinetic physics of protons, ions and electrons in the solar wind close to the Sun. The Italian SWA-Solar Orbiter Working Group entitled "Kinetic Processes" has been formed in May 2020 and gathers scientists from several Italian and international institutions and with different expertises (theoretical modeling, observational data analysis and numerical simulations), who convene periodically to discuss these scientific subjects. The main scientific goals of this working group are (i) to maximize the scientific return of Solar Orbiter data within the Heliospheric communities and (ii) to identify open scientific questions and relevant physical problems for which Solar Orbiter data could play a key role and help scientists to find answers and explanations. Exploitation of combined measurements from the in-situ instruments (SWA, MAG, EPD and RPW) onboard Solar Orbiter will provide the unique opportunity of attacking fundamental plasma physics processes responsible for energy exchanges between fluctuations and particles. In this Abstract, we will present some of the activities carried on within the Italian SWA-Solar Orbiter WG "Kinetic Processes" in the last few months, with the aim of engaging the broader scientific community into the discussion and in preparation of the release of the first Orbiter data.

Published
2020

18. Italian Solar Orbiter-SWA Working Group on 'Multiscale Physics'

Author

d'Amicis, R., Alberti, T., Bruno, R., Califano, F., Carnevale, G., Catapano, F., Cerri, S. S., Coco, I., del Zanna, L., de Marco, R., Di Matteo, S., Franci, L., Greco, A., Jagarlamudi, V. K., Landi, S., Lepreti, F., Malara, F., Marcucci, M. F., Marino, R., Matteini, L., Nieves-Chinchilla, T., Nigro, G., Nisticò, G., Papini, E., Pecora, F., Perri, S., Pezzi, O., Perrone, D., Primavera, L., Qamili, E., Retino, A., Servidio, S., Sorriso-Valvo, L., Innocenti, M. E., Telloni, D., Tenerani, A., Trenchi, L., Valentini, F., Velli, M. C. M., Veltri, P., Verdini, A., Villante, U., Zimbardo, G., and POTHIER, Nathalie

Subjects
ASTROPHYSICS, [SDU] Sciences of the Universe [physics], General or miscellaneous, Instruments and techniques, ASTRONOMY, SOLAR PHYSICS
Abstract

Despite more than a half-century of study, the basic physical processes responsible for heating and accelerating the solar wind are still not fully understood. These phenomena are at the center of a hot debate that is of great interest for the Solar Orbiter mission (as discussed in details in the Science Activity Plan, SAP) and are strictly linked to the turbulent nature of solar wind fluctuations which cover an extended range of spatial and temporal scales. So the identification of these physical processes is of primary importance for understanding the origins and evolution of the solar wind and its impact on the different bodies of the solar system. Moreover, in a broader context, it would allow also to achieve significant progress in our understanding of stellar astrophysics. Within this context, the Italian Solar Orbiter-SWA Working Group (WGs) on `Multiscale Physics' was created in response to the interest manifested by scientists from several Italian and international institutions on some important topics such as radial evolution of turbulence and Alfvénicity and link between fluid and kinetic scales; solar wind origin; reconnection, intermittency and particle acceleration in the turbulent solar wind (just to cite some of them), with a particular attention to the synergies with other in-situ and remote sensing instruments on board Solar Orbiter and also with other ESA and NASA missions (e.g. L1 observatories and Parker Solar Probe). The `Multiscale Physics' WG involves scientists with an extensive experience in solar wind turbulence and reconnection processes including expertise in data analysis, simulations and modeling. In this contribution, we present the activity developed so far with a particular focus on the scientific cases identified.

Published
2020

19. Italian Solar Orbiter-SWA Working Group on Machine Learning and Artificial Intelligence

Author

de Marco, R., Alberti, T., Amaya, J., Bruno, R., Califano, F., Camporeale, E., Consolini, G., Foldes, R., d'Amicis, R., Dupuis, R., Franci, L., Guedes dos Santos, L. F., Innocenti, M. E., Jagarlamudi, V. K., Lapenta, G., Laurenza, M., Marcucci, M. F., Narock, A., Papini, E., Perri, S., Perrone, D., Retino, A., Servidio, S., Sisti, M., Sorriso-Valvo, L., Valentini, F., POTHIER, Nathalie, Laboratoire de Physique et Chimie de l'Environnement et de l'Espace (LPC2E), Observatoire des Sciences de l'Univers en région Centre (OSUC), Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université d'Orléans (UO)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université d'Orléans (UO)-Centre National de la Recherche Scientifique (CNRS)-Centre National d’Études Spatiales [Paris] (CNES), Laboratoire de Physique des Plasmas (LPP), Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-École polytechnique (X)-Sorbonne Université (SU)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), and Aix Marseille Université (AMU)

Subjects
ASTROPHYSICS, [SDU] Sciences of the Universe [physics], [SDU]Sciences of the Universe [physics], General or miscellaneous, Instruments and techniques, ASTRONOMY, SOLAR PHYSICS
Abstract

International audience; The exponential growth of data volume experienced by astronomy and astrophysics causes new disciplines like machine learning (ML) and data mining (DM) to gain more and more ground in these fields. Applications like clustering, feature selection, automatic classification of events are proving to be a valuable aid in exploiting space data in the era of the synergy between "pure" science and "data-driven" science. The Italian Solar Orbiter-SWA Working Group on Machine Learning and Artificial Intelligence1 together with the European Commission Horizon 2020 project AIDA2, has the scope of applying ML and DM analysis techniques to the Solar Orbiter data. The implementations are numerous. First of all these new techniques can be used to discover unexpected relations between data, can automate tasks so that they can be carried out without human intervention, and can help to forecast physical properties and events. A non-exhaustive list of these activities includes automatic detection of coronal holes in images, automatic recognition of plasma regions, prediction of solar wind properties at 1 AU, classification of solar wind type based on new indicators, analysis of particle velocity distribution functions. In addition, this Working Group will integrate the existing software developed in the context of the various heliospheric missions with the parts regarding Solar Orbiter. These packages are able to handle complex data set with ease and provide statistical analysis and visualization tools. Catalogs of scientific data are also produced, which report, among others, magnetic reconnection and particle acceleration events, detected by routines trained to browse data and select physical processes and features of interest. Here we present the project overview along with the ML and DM tools which will be used to handle and analyse Solar Orbiter data. 1.https://sites.google.com/view/italian-solar-orbiter-swa/ 2.http://www.aida-space.eu/

Published
2020

39. Efficacy of self-monitoring blood glucose as a key component of a chronic care model versus usual care in type 2 diabetes patients treated with oral agents: results of a randomized trial

Author

Musacchio, N, Ciullo, I, Scardapane, M, Giancaterini, A, Pessina, L, Maino, S, Gaiofatto, R, Nicolucci, A, Rossi, Mc, Valentini, U, Cimino, A, Agosti, B, Zarra, E, Magri, A, Pellegrini, Ma, Pellarini, L, Sciangula, L, Nappi, F, Ciucci, A, Grassa, B, De Marco, R, Olivo, Es, Trevisan, R, Frosio, I, Morlini, C, Corsi, A, Dodesini, Ar, Grassi, G, Calvi, E, Capello, E, Gramaglia, E, Ramella, V, De Rossi, C, Mengozzi, G, Orsi, E, Lunati, Me, Palmieri, E, Resi, V, Grancini, V, Giarratana, L, Ragonese, M, Slongo, R, Scoponi, C, Tonolo, G, Amadori, G, Becciu, A, Canu, L, Cherchi, S, Paciotti, V, Alfidi, P, Babini, A, Ripani, R, Cantelli, R, Rossi, P, Di Cianni, G, Russo, L, Lemmi, P, Sannino, C, Marconi, S, Di Bartolo, P, Pellicano, F, Scolozzi, P, Annese, S, Lorizzo, F, Coppolino, A, Peditto, Gc, De Feo ME, Piscopo, G, Varriale, A, De Candia, L, Ceci, A, Elia, G, Falzone, G, Schembari, R, Citro, G, Di Mauro, M, D’Urso, C, Caruso, C, on behalf of Self-Care Study Group, Musacchio, N, Ciullo, I, Scardapane, M, Giancaterini, A, Pessina, L, Maino, S, Gaiofatto, R, Nicolucci, A, Rossi, M, Valentini, U, Cimino, A, Agosti, B, Zarra, E, Magri, A, Pellegrini, M, Pellarini, L, Sciangula, L, Nappi, F, Ciucci, A, Grassa, B, De Marco, R, Olivo, E, Trevisan, R, Frosio, I, Morlini, C, Corsi, A, Dodesini, A, Grassi, G, Calvi, E, Capello, E, Gramaglia, E, Ramella, V, De Rossi, C, Mengozzi, G, Orsi, E, Lunati, M, Palmieri, E, Resi, V, Grancini, V, Giarratana, L, Ragonese, M, Slongo, R, Scoponi, C, Tonolo, G, Amadori, G, Becciu, A, Canu, L, Cherchi, S, Paciotti, V, Alfidi, P, Babini, A, Ripani, R, Cantelli, R, Rossi, P, Di Cianni, G, Russo, L, Lemmi, P, Sannino, C, Marconi, S, Di Bartolo, P, Pellicano, F, Scolozzi, P, Annese, S, Lorizzo, F, Coppolino, A, Peditto, G, De Feo, M, Piscopo, G, Varriale, A, De Candia, L, Ceci, A, Elia, G, Falzone, G, Schembari, R, Citro, G, Di Mauro, M, D'Urso, C, and Caruso, C

Subjects
medicine.medical_specialty, Endocrinology, Diabetes and Metabolism, 030209 endocrinology & metabolism, oral antidiabetic agent, Type 2 diabetes, law.invention, 03 medical and health sciences, 0302 clinical medicine, Endocrinology, Randomized controlled trial, law, Diabetes mellitus, Internal medicine, Internal Medicine, medicine, hemoglobin A1c lipid, 030212 general & internal medicine, Intensive care medicine, Chronic care, business.industry, Mellitus, General Medicine, medicine.disease, Management, Oral agents, Usual care, Self-monitoring, Empowerment, business
Published
2018

47. The socio-economic burden of asthma is substantial in Europe

Author

Accordini, S., Corsico, A., Cerveri, I., Gislason, D., Gulsvik, A., Janson, C., Jarvis, D., Marcon, A., Pin, I., Vermeire, P., Almar, E., Bugiani, M., Cazzoletti, L., Duran-Tauleria, E., Jõgi, R., Marinoni, A., Martínez-Moratalla, J., Leynaert, B., and de Marco, R.

Published
2008

48. Cost-effective and relocatable monitoring of natural hydrocarbon seepages in the Italian Offshore

Author

Rovere M., Mercorella A., Spagnoli F, Funari V., Frapiccini E., Pellegrini C., Ciccone F., Antoncecchi I., Bonetti A.S., Dell'Orso M., Tassetti N., Giuliano G., De Marco R., and Fabi G.

Subjects
bottom sea monitoring
Abstract

Hydrocarbon seepage is overlooked in the marine environment, mostly due to lack of marine exploration data, especially over the continental shelf and upper slope, where data may be available but not at adequate resolution. Shallow marine environments, such as the north and the central Adriatic Sea, are ideal for the formation of hydrocarbons, because organic matter sinks to the sea bottom where undergoes rapid burial and anaerobic degradation. On the other hand, deeply-trapped hydrocarbons tend to migrate to shallower sedimentary horizons, they may pierce the seabed, giving rise to peculiar seafloor morphology, and, under particular conditions, fluids escape the seabed to form gas plumes in the water column. The latter can be accurately detected by modern multibeam sonar systems as 3D density anomalies, which sometimes can reach high at the sea surface. This contribution is about the geophysical and geochemical investigation of two seepage sites on the shelf of the Adriatic Sea. The study areas are represented by: an oil spill off Civitanova Marche, at water depth of 10 m; scattered biogenic seeps offshore Mt. Conero, at water depth of 84 m. Dissolved benthic fluxes of nutrients, metals and DIC have been measured by in situ deployment of a benthic chamber equipped with an automatic water sampler and a multi-parameter probe. Geochemical analysis was performed to identify the presence of and characterize hydrocarbons in the water samples and provide insights into the origins of the organic matter. Concentration of Polycyclic Aromatic Hydrocarbons and major and trace elements was analyzed to provide an estimate of hydrocarbon contamination in the surrounding sediment. We conducted these research activities under the umbrella of a technical agreement between ISMARCNR and the Italian Ministry of Economic Development, Directorate General for Safety - National Mining Office for Hydrocarbons and Georesources, within the Clypea Innovation Network, which seeks to increase the safety, also in terms of environmental protection, of offshore oil & gas exploration and exploitation, using innovative approaches. This study aims at: i) establishing a cost-effective and relocatable geochemical and geophysical monitoring system for natural hydrocarbon seepage to mitigate the adverse effects of hydrocarbon spill and discharge, especially if located near the coast or nearby human activities; ii) delivering a better understanding of the characteristics and origins of the petroleum system, adding a valuable layer of information to more conventional offshore exploration data; iii) to unravel the relationship of fluid seepage with geohazards, notably softsediment deformation, and sea level changes as triggering mechanism.

Published
2019

49. Cost-effective and relocatable monitoring of hydrocarbon seepage in offshore environments

Author

Rovere M., Mercorella A., Spagnoli F., Frapiccini E., Funari V., Pellegrini C., Bonetti A.S., Dell'Orso M., Mastroianni, Veneruso, Ciccone F., Antoncecchi I., Tassetti A.N., Giuliani G., De Marco R., and Fabi G.

Subjects
seepage, benthic chamber, adriatic sea
Abstract

Hydrocarbon seepage is overlooked in the marine environment, mostly due to the lack of high-resolution exploration data. This contribution is about the geophysical and geochemical investigation of two seepage sites on the shelf of the Adriatic Sea: an oil spill off Civitanova Marche, at water depth of 10 m; scattered biogenic seeps offshore Mt. Conero, at water depth of 84 m. The accurate detection of gas plumes was achieved with a multibeam system acquisition of the water column reflectivity. Dissolved benthic fluxes of nutrients, metals and DIC were measured by in situ deployment of a benthic chamber, which was used also for the first time as water samples collector for hydrocarbons gas characterization. In addition, concentration of Polycyclic Aromatic Hydrocarbons and major and trace elements was analyzed to provide an estimate of hydrocarbon contamination in the surrounding sediment.

Published
2019

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