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736 results on '"Pace, B"'

7. Paleoseismological Constraints on the Anghiari Normal Fault (Northern Apennines, Italy) and Potential Implications for the Activity of the Altotiberina Low‐Angle Normal Fault

Author

Testa, A., primary, Boncio, P., additional, Baize, S., additional, Mirabella, F., additional, Pucci, S., additional, Pace, B., additional, Riesner, M., additional, Pauselli, C., additional, Ercoli, M., additional, Benedetti, L., additional, Di Chiara, A., additional, and Civico, R., additional

Published
2023
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12. 2021 international consensus statement on optical coherence tomography for basal cell carcinoma: image characteristics, terminology and educational needs

Author

Fuchs, C.S.K., Ortner, V.K., Mogensen, M., Rossi, A.M., Pellacani, G., Welzel, Julia, Mosterd, K., Guitera, P., Nayahangan, L.J., Johnsson, V.L., Haedersdal, M., Tolsgaard, M.G., Sattler, E., Schuh, S., Adan, F., Sahu, A., Gill, M., Aleissa, S., Cordova, M., Navarete‐Dechent, C., Chen, C.J., Garbarino, F., Pezzini, C., De Pace, B., Ciardo, S., Condorelli, A.G., Guida, S., Manfredini, M., De Carvalho, N., Chan, H.H., van Loo, E., Martin, A., Themstrup, L., Jemec, G., Sinx, K., RS: GROW - R3 - Innovative Cancer Diagnostics & Therapy, Dermatologie, and MUMC+: MA Dermatologie (9)

Subjects
EXPERTISE, Consensus, Skin Neoplasms, optical coherence tomography, DIAGNOSIS, Delphi, TRENDS, RECOMMENDATIONS, dermatology, Infectious Diseases, basal cell carcinoma, Carcinoma, Basal Cell, terminology, Educational Status, Humans, ddc:610, Tomography, Optical Coherence
Abstract

Background Despite the widespread use of optical coherence tomography (OCT) for imaging of keratinocyte carcinoma, we lack an expert consensus on the characteristic OCT features of basal cell carcinoma (BCC), an internationally vetted set of OCT terms to describe various BCC subtypes, and an educational needs assessment. Objectives To identify relevant BCC features in OCT images, propose terminology based on inputs from an expert panel and identify content for a BCC-specific curriculum for OCT trainees. Methods Over three rounds, we conducted a Delphi consensus study on BCC features and terminology between March and September 2020. In the first round, experts were asked to propose BCC subtypes discriminable by OCT, provide OCT image features for each proposed BCC subtypes and suggest content for a BCC-specific OCT training curriculum. If agreement on a BCC-OCT feature exceeded 67%, the feature was accepted and included in a final review. In the second round, experts had to re-evaluate features with less than 67% agreement and rank the ten most relevant BCC OCT image features for superficial BCC, nodular BCC and infiltrative and morpheaphorm BCC subtypes. In the final round, experts received the OCT-BCC consensus list for a final review, comments and confirmation. Results The Delphi included six key opinion leaders and 22 experts. Consensus was found on terminology for three OCT BCC image features: (i) hyporeflective areas, (ii) hyperreflective areas and (iii) ovoid structures. Further, the participants ranked the ten most relevant image features for nodular, superficial, infiltrative and morpheaform BCC. The target group and the key components for a curriculum for OCT imaging of BCC have been defined. Conclusion We have established a set of OCT image features for BCC and preferred terminology. A comprehensive curriculum based on the expert suggestions will help implement OCT imaging of BCC in clinical and research settings.

Published
2022

13. P1.11-01 Cobolimab with Dostarlimab and Docetaxel in Patients with Advanced Non-small Cell Lung Cancer (NSCLC): COSTAR Lung

Author

Kim, H.R., primary, Gridelli, C., additional, Kapur, D., additional, Tufman, A., additional, Felip, E., additional, Velcheti, V., additional, Kim, Y.J., additional, Goetze, T.O., additional, Lopez, P. Garrido, additional, Corre, R., additional, Penkov, K., additional, Anjum, R., additional, Di Pace, B., additional, Liu, W., additional, Borgovan, T., additional, Ledger, D., additional, Carver, J., additional, Waszak, A., additional, Dhar, A., additional, and Novello, S., additional

Published
2022
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14. The new Italian seismic hazard model (MPS19)

Author

Meletti, C., Marzocchi, W., D'amico, V., Lanzano, G., Luzi, L., Martinelli, F., Pace, B., Rovida, A., Taroni, M., Visini, F., Akinci, A., Anzidei, M., Avallone, A., Azzaro, R., Barani, S., Barberi, G., Barreca, G., Basili, R., Bird, P., Bonini, M., Burrato, P., Busetti, M., Camassi, R., Carafa, M., Cavaliere, A., Cecere, G., Cheloni, D., Chioccarelli, E., Console, R., Corti, G., D'agostino, N., Cin, M., D'ambrosio, C., D’amico, M., D’amico, S., Devoti, R., Esposito, A., Faenza, L., Falcone, G., Felicetta, C., Fracassi, U., Franco, L., Galvani, A., Gasperini, P., Gee, R., Capera, A., Iervolino, I., Kastelic, V., Lai, C., Locati, M., Lolli, B., Maesano, F., Marchesini, A., Mariucci, M., Martelli, L., Massa, M., Metois, M., Monaco, C., Montone, P., Moschetti, M., Murru, M., Pacor, F., Pagani, M., Pasolini, C., Peresan, A., Peruzza, L., Pietrantonio, G., Poli, M., Pondrelli, S., Puglia, R., Rebez, A., Riguzzi, F., Roselli, P., Rotondi, R., Russo, E., Sani, F., Santulin, M., Selvaggi, G., Scafidi, D., Selva, J., Sepe, V., Serpelloni, E., Slejko, D., Spallarossa, D., Stallone, A., Tamaro, A., Tarabusi, G., Tiberti, M., Tuvè, T., Valensise, G., Vallone, R., Vannoli, P., Vannucci, G., Varini, E., Zanferrari, A., Zuccolo, E., Danciu, L., Schorlemmer, D., Bazzurro, P., Giardini, D., Modena, C., Mulargia, F., Seno, S., Group, T., Meletti, C., Marzocchi, W., D'Amico, V., Lanzano, G., Luzi, L., Martinelli, F., Pace, B., Rovida, A., Taroni, M., Visini, F., Selva, Jacopo, Meletti C., Marzocchi W., D'amico V., Lanzano G., Luzi L., Martinelli F., Pace B., Rovida A., Taroni M., Visini F., Akinci A., Anzidei M., Avallone A., Azzaro R., Barani S., Barberi G., Barreca G., Basili R., Bird P., Bonini M., Burrato P., Busetti M., Camassi R., Carafa M.M.C., Cavaliere A., Cecere G., Cheloni D., Chioccarelli E., Console R., Corti G., D'agostino N., Cin M.D., D'ambrosio C., D'amico M., D'amico S., Devoti R., Esposito A., Faenza L., Falcone G., Felicetta C., Fracassi U., Franco L., Galvani A., Gasperini P., Gee R., Capera A.A.G., Iervolino I., Kastelic V., Lai C.G., Locati M., Lolli B., Maesano F.E., Marchesini A., Mariucci M.T., Martelli L., Massa M., Metois M., Monaco C., Montone P., Moschetti M., Murru M., Pacor F., Pagani M., Pasolini C., Peresan A., Peruzza L., Pietrantonio G., Poli M.E., Pondrelli S., Puglia R., Rebez A., Riguzzi F., Roselli P., Rotondi R., Russo E., Sani F., Santulin M., Selvaggi G., Scafidi D., Selva J., Sepe V., Serpelloni E., Slejko D., Spallarossa D., Stallone A., Tamaro A., Tarabusi G., Tiberti M.M., Tuve T., Valensise G., Vallone R., Vannoli P., Vannucci G., Varini E., Zanferrari A., Zuccolo E., Danciu L., Schorlemmer D., Bazzurro P., Giardini D., Modena C., Mulargia F., Seno S., and MPS19 Working Group

Subjects
Peak ground acceleration, Epistemic uncertainty, Computer science, 010502 geochemistry & geophysics, computer.software_genre, 01 natural sciences, Interpretation (model theory), Seismic hazard, Set (abstract data type), Range (statistics), Earthquake hazard analysis -- Italy, Ensemble modeling, Uncertainty quantification, Probabilistic framework, 0105 earth and related environmental sciences, Structure (mathematical logic), Probabilistic methods, Earthquake prediction, Geophysics, Ensemble learning (Machine learning), Probabilistic method, Italy, Probabilities -- Mathematical models, Data mining, computer
Abstract

We describe the main structure and outcomes of the new probabilistic seismic hazard model for Italy, MPS19 [Modello di Pericolosità Sismica, 2019]. Besides to outline the probabilistic framework adopted, the multitude of new data that have been made available after the preparation of the previous MPS04, and the set of earthquake rate and ground motion models used, we give particular emphasis to the main novelties of the modeling and the MPS19 outcomes. Specifically, we (i) introduce a novel approach to estimate and to visualize the epistemic uncertainty over the whole country; (ii) assign weights to each model components (earthquake rate and ground motion models) according to a quantitative testing phase and structured experts’ elicitation sessions; (iii) test (retrospectively) the MPS19 outcomes with the horizontal peak ground acceleration observed in the last decades, and the macroseismic intensities of the last centuries; (iv) introduce a pioneering approach to build MPS19_cluster, which accounts for the effect of earthquakes that have been removed by declustering. Finally, to make the interpretation of MPS19 outcomes easier for a wide range of possible stakeholders, we represent the final result also in terms of probability to exceed 0.15 g in 50 years., peer-reviewed

Published
2021
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15. Environmental effects and seismogenic source characterization of the December 2020 earthquake sequence near Petrinja, Croatia

Author

Baize, S, primary, Amoroso, S, additional, Belić, N, additional, Benedetti, L, additional, Boncio, P, additional, Budić, M, additional, Cinti, F R, additional, Henriquet, M, additional, Jamšek Rupnik, P, additional, Kordić, B, additional, Markušić, S, additional, Minarelli, L, additional, Pantosti, D, additional, Pucci, S, additional, Špelić, M, additional, Testa, A, additional, Valkaniotis, S, additional, Vukovski, M, additional, Atanackov, J, additional, Barbača, J, additional, Bavec, M, additional, Brajkovič, R, additional, Brčić, V, additional, Caciagli, M, additional, Celarc, B, additional, Civico, R, additional, De Martini, P M, additional, Filjak, R, additional, Iezzi, F, additional, Moulin, A, additional, Kurečić, T, additional, Métois, M, additional, Nappi, R, additional, Novak, A, additional, Novak, M, additional, Pace, B, additional, Palenik, D, additional, and Ricci, T, additional

Published
2022
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16. Redefining the zoning of active and capable faults in urban areas: the case of the Mt. Marine fault across the Barete and Pizzoli towns (Central Apennines, Italy)

Author

Iezzi, F., Boncio, P., Pizzi, A., Piacentini, T., Pace, B., Francescone, M., Morelli, F., Puliti, I., Salvatore, N., Blumetti, A., Di Manna, P., Papasodaro, F., Moro, M., Falcucci, E., Gori, S., Saroli, M., Nicolosi, I., D’Ajello Caracciolo, F., Chiappini, M., Sapia, V., Materni, V., Urbini, S., Caciagli, M., Di Giulio, G., Vassallo, M., Milana, G., Minarelli, L., Pischiutta, M., Cara, F., Sepe, V., and Doglioni, C.

Published
2022

21. Sustaining lowimpact practices in horticulture through nondestructive approach to provide more information on fresh produce history and quality: the SUS&LOW project.

Author

Amodio, M., Attolico, G., Bonelli, L., Cefola, M., Fazayeli, H., Montesano, F. F., Pace, B., Palumbo, M., Serio, F., Stasi, A., and Colelli, G.

Subjects
AGRICULTURE, COMPUTER vision, CONSUMER preferences, PRODUCT quality, HYDROPONICS, MARKETING strategy, HORTICULTURE
Abstract

The general aim of the project SUS&LOW is to increase the sustainability of fresh produce by testing and implementing lowinput agricultural practices (LIP) with positive impact on product quality with the support of nondestructive (ND) tools for realtime quality assessment and for product discrimination. Additionally, new marketing strategies are generated to better support the added value of the products and to satisfy the final consumers' preferences. The SUS&LOW project consists of three work packages (WP) and the adopted methodology used two model crops: rocket salad and tomato. The WP1, focused on the reduction of agricultural inputs, showed that sensorbased fertigation management might improve sustainability of soilless cultivation. Results coming from WP2, aimed to the evaluation of ND techniques, outlined the high potentiality of hyperspectral imaging (HSI) and Fourier transformednear infrared (FTNIR) techniques for the authentication of sustainable growing methods. Moreover, project activities' proved computer vision system (CVS) as an effective tool for evaluating the product quality also through the bag. The WP3, dealing with marketing strategies, indicated a positive approach of consumers compared to LIP products certified through a visual storytelling platform. [ABSTRACT FROM AUTHOR]

Published
2023
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22. CO2 modified atmosphere packaging: stress condition or treatment to preserve fruit and vegetable quality?

Author

Cefola, M., Capotorto, I., Lippolis, V., Cervellieri, S., Damascelli, A., Cozzolino, R., De Giulio, B., and Pace, B.

Subjects
VEGETABLE quality, PRESERVATION of fruit, FRUIT quality, HORTICULTURAL crops, TABLE grapes, SWEET cherry
Abstract

In addition to the adoption of proper temperature and relative humidity, the selection of an atmosphere surrounding packaged fresh produce with reduced O2 and/or increased CO2 is one of the most widely used and useful tools to prolong the shelflife of horticultural crops. However, as O2 and/or CO2 values that might cause injury are strictly related to the commodity, they should be optimized for each product. Here three study cases are reported about the application of modified atmospheres (MA), with different CO2 concentrations (040 kPa), to table grapes (cv. Italia) and sweet cherries (cv. Ferrovia) and, as a shortterm treatment (48 h at 0°C), to freshcut artichokes (cv. Violet de Provence). In each trial, the effect of high CO2 treatment on quality parameters was observed during cold storage. Concerning table grape 'Italia', our results show that low CO2 (up to 10 kPa) MA preserved the quality and sensory parameters of the fruit, whereas high CO2 (> 20 kPa) caused a fermentative metabolism. As for sweet cherries 'Ferrovia', 20 kPa CO2 MA helped to maintain the quality traits during storage. On the other hand, this fruit proved to be sensitive to CO2 accumulation (over 20 kPa) in hypoxic conditions, since it caused an increase in respiration rate and the biosynthesis of volatile fermentative metabolites. Finally, for freshcut artichokes, a shortterm CO2 treatment, up to 10kPa, reduced respiration rate and browning index, preserving the volatile profile, while high CO2 (40 kPa) may have caused fermentative metabolism. In conclusion, the application of a MA enriched in CO2 has been shown to have different effects on the quality parameters of the three products, in agreement with the fact that CO2 sensibility depends on each specific fruit or vegetable under study. [ABSTRACT FROM AUTHOR]

Published
2023
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23. Image analysis to predict the maturity index of strawberries.

Author

Corvino, A., Romaniello, R., Palumbo, M., Ricci, I., Cefola, M., Pelosi, S., and Pace, B.

Subjects
STRAWBERRIES, IMAGE analysis, HARVESTING time, PRINCIPAL components analysis, HARVESTING, MULTIVARIATE analysis
Abstract

Traditionally, strawberries are harvested manually when the typical colour of the cultivar does not reach at least 80% of the surface. The focus of this research activity is to develop an automatic system based on image analysis in order to objectively define the optimal harvest time. Strawberries (cv. Sabrosa), with different degrees of maturation, were analyzed in four different harvesting periods and subsequently selected and classified, based on the ripening percentage, in three maturity classes: R025, R5070 and R75100. Each class of 10 strawberries, evaluated in triplicate, was subjected to image analysis and physiological and qualitative evaluation by measuring the following parameters: respiration rate, pH, total soluble solids content, and titratable acidity. The images, captured by a digital camera, were processed using Matlab® software and all the data found were supported by multivariate analysis. The image processing has made it possible to create an algorithm measuring objectively the percentage and the saturation level of red assigning the fruit to each class. Principal component analysis (PCA) shows that discriminating parameters are the Chroma and the red Area, then used in a Partial Least Square Regression (PLSR) model to predict the TSS/TA ratio with R2 of 0.7 and 0.6 for calibration and validation set, respectively. [ABSTRACT FROM AUTHOR]

Published
2023
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36. Plants and their metabolites against Streptococcus mutans

Author

B. O. Landi, Pace B. Di, and A. O. Conceição

Subjects
food.ingredient, medicine.drug_class, Antibiotics, Pharmaceutical Science, Context (language use), Plant Science, 01 natural sciences, 03 medical and health sciences, 0302 clinical medicine, Antibiotic resistance, food, Drug Discovery, medicine, Agar, Agar diffusion test, Pharmacology, biology, business.industry, 030206 dentistry, biology.organism_classification, Antimicrobial, Streptococcus mutans, 0104 chemical sciences, Biotechnology, 010404 medicinal & biomolecular chemistry, Complementary and alternative medicine, Plant species, business
Abstract

Oral diseases represent a major public health problem, especially for economically marginalized communities with limited access to health services. In addition, the constant increase in bacterial resistance to many of the antibiotics contributes to worsen the problem. In this context, great importance had been given to natural compounds for the discovery of new drugs that contribute to the prevention and control of oral affection. The present study proposed a systematic review of articles that used the techniques of agar diffusion and broth dilution to measure the efficiency of plant samples against Streptococcus mutans, one of the main agents involved in the development of dental cavities. Families and plant species most used in the study, the concentration and polarity measurements of the samples used in the tests, the disk and well variants in the agar diffusion technique, as well as the most outstanding results presented by the articles are reported. The review highlights the bacteriostatic effect of natural products against S. mutans and strengthened parameters that could validate the best strategy for the identification of natural products with antimicrobial action, having as object the S. mutans. The agar diffusion test should not be neglected as screening test but scientific measurements should be taken into consideration to obtain plant extracts which are likely to undergo clinical usage against S. mutans. Key words: Medicinal plant, plant extract, antimicrobial, qualitative technique, quantitative technique.

Published
2018

43. Flat‐pigmented facial lesions without highly specific melanocytic dermoscopy features: the role of dermoscopic globules and dots in differential diagnosis with corresponding reflectance confocal microscopy substrates

Author

Guida, S., primary, Farnetani, F., additional, De Pace, B., additional, Kaleci, S., additional, Chester, J., additional, Stanganelli, I., additional, Ciardo, S., additional, De Carvalho, N., additional, Longo, C., additional, and Pellacani, G., additional

Published
2019
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45. A database of the coseismic effects following the 30 October 2016 Norcia earthquake in Central Italy

Author

Villani, Fabio, Civico, Riccardo, Pucci, Stefano, Pizzimenti, Luca, Nappi, Rosa, De Martini, Paolo Marco, Agosta, F., Alessio, G., Alfonsi, L., Amanti, M., Amoroso, S., Aringoli, D., Auciello, E., Azzaro, R., Baize, S., Bello, S., Benedetti, L., Bertagnini, A., Binda, G., Bisson, M., Blumetti, A.M., Bonadeo, L., Boncio, P., Bornemann, P., Branca, S., Braun, T., Brozzetti, F., Brunori, C.A., Burrato, P., Caciagli, M., Campobasso, C., Carafa, M., Cinti, F.R., Cirillo, D., Comerci, V., Cucci, L., De Ritis, R., Deiana, G., Del Carlo, P., Del Rio, L., Delorme, A., Di Manna, P., Di Naccio, D., Falconi, L., Falcucci, E., Farabollini, P., Faure Walker, J.P., Ferrarini, F., Ferrario, M.F., Ferry, M., Feuillet, N., Fleury, J., Fracassi, U., Frigerio, C., Galluzzo, F., Gambillara, R., Gaudiosi, G., Goodall, H., Gori, S., Gregory, L.C., Guerrieri, L., Hailemikael, S., Hollingsworth, J., Iezzi, F., Invernizzi, C., Jablonská, D., Jacques, E., Jomard, H., Kastelic, V., Klinger, Y., Lavecchia, G., Leclerc, F., Liberi, F., Lisi, A., Livio, F., Lo Sardo, L., Malet, J.P., Mariucci, M.T., Materazzi, M., Maubant, L., Mazzarini, F., McCaffrey, K.J.W., Michetti, A.M., Mildon, Z.K., Montone, P., Moro, M., Nave, R., Odin, M., Pace, B., Paggi, S., Pagliuca, N., Pambianchi, G., Pantosti, D., Patera, A., Pérouse, E., Pezzo, G., Piccardi, L., Pierantoni, P.P., Pignone, M., Pinzi, S., Pistolesi, E., Point, J., Pousse, L., Pozzi, A., Proposito, M., Puglisi, C., Puliti, I., Ricci, T., Ripamonti, L., Rizza, M., Roberts, G.P., Roncoroni, M., Sapia, V., Saroli, M., Sciarra, A., Scotti, O., Skupinski, G., Smedile, A., Soquet, A., Tarabusi, G., Tarquini, S., Terrana, S., Tesson, J., Tondi, E., Valentini, A., Vallone, R., Van der Woerd, J., Vannoli, P., Venuti, A., Vittori, E., Volatili, T., Wedmore, L.N.J., Wilkinson, M., Zambrano, M., Istituto Nazionale di Geofisica e Vulcanologia - Sezione di Roma (INGV), Istituto Nazionale di Geofisica e Vulcanologia, Istituto Nazionale di Geofisica e Vulcanologia - Sezione di Palermo (INGV), Istituto sull’Inquinamento Atmosferico (CNR-IIA), Consiglio Nazionale delle Ricerche (CNR), Institut de Radioprotection et de Sûreté Nucléaire (IRSN), Università degli studi 'G. d'Annunzio' Chieti-Pescara [Chieti-Pescara] (Ud'A), Laboratoire Image, Ville, Environnement (LIVE), Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS), Littoral, Environnement, Télédétection, Géomatique (LETG - Caen), Littoral, Environnement, Télédétection, Géomatique UMR 6554 (LETG), Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU)-Université d'Angers (UA)-Université de Nantes (UN)-École pratique des hautes études (EPHE)-Université de Brest (UBO)-Université de Rennes 2 (UR2), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Centre National de la Recherche Scientifique (CNRS)-Université de Caen Normandie (UNICAEN), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Centre National de la Recherche Scientifique (CNRS), Institut de Physique du Globe de Paris (IPGP), Institut national des sciences de l'Univers (INSU - CNRS)-IPG PARIS-Université Paris Diderot - Paris 7 (UPD7)-Université de La Réunion (UR)-Centre National de la Recherche Scientifique (CNRS), Dipartimento di Scienze Fisiche, Informatiche e Matematiche [Modena], Università degli Studi di Modena e Reggio Emilia (UNIMORE), Géosciences Montpellier, Institut national des sciences de l'Univers (INSU - CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Université des Antilles (UA), Centre européen de recherche et d'enseignement des géosciences de l'environnement (CEREGE), Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Collège de France (CdF)-Institut national des sciences de l'Univers (INSU - CNRS)-Aix Marseille Université (AMU)-Institut National de la Recherche Agronomique (INRA), Géoazur (GEOAZUR 7329), Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de la Côte d'Azur, Université Côte d'Azur (UCA)-Université Côte d'Azur (UCA)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud]), Institut de physique du globe de Strasbourg (IPGS), Université de Strasbourg (UNISTRA)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS), Istituto Nazionale di Geofisica e Vulcanologia – Sezione di Pisa (INGV), Laboratoire de géologie de l'ENS (LGE), Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Département des Géosciences - ENS Paris, École normale supérieure - Paris (ENS Paris)-École normale supérieure - Paris (ENS Paris), Institut des Sciences de la Terre (ISTerre), Université Grenoble Alpes (UGA)-Centre National de la Recherche Scientifique (CNRS)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-PRES Université de Grenoble-Institut de recherche pour le développement [IRD] : UR219-Institut national des sciences de l'Univers (INSU - CNRS)-Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux (IFSTTAR)-Université Joseph Fourier - Grenoble 1 (UJF), Italian National agency for new technologies, Energy and sustainable economic development [Frascati] (ENEA), Departimento di Scienze della Terra [Camerino], Università di Camerino (UNICAM), Laboratoire d'Ecologie Alpine (LECA), Centre National de la Recherche Scientifique (CNRS)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Université Joseph Fourier - Grenoble 1 (UJF)-Université Grenoble Alpes (UGA), Dynamique globale et déformation active (IPGS) (IPGS-DGDA), Université de Strasbourg (UNISTRA)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS), National Research Council of Italy | Consiglio Nazionale delle Ricerche (CNR), Institut de Recherche pour le Développement (IRD)-Institut National de la Recherche Agronomique (INRA)-Aix Marseille Université (AMU)-Collège de France (CdF (institution))-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS), Normandie Université (NU)-Normandie Université (NU)-Université d'Angers (UA)-École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Brest (UBO)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-Institut de Géographie et d'Aménagement Régional de l'Université de Nantes (IGARUN), Université de Nantes (UN)-Université de Nantes (UN)-Université de Caen Normandie (UNICAEN), Université de Nantes (UN)-Université de Nantes (UN), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris Diderot - Paris 7 (UPD7)-Université de La Réunion (UR)-Institut de Physique du Globe de Paris (IPG Paris)-Centre National de la Recherche Scientifique (CNRS), Università degli Studi di Modena e Reggio Emilia = University of Modena and Reggio Emilia (UNIMORE), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Université Côte d'Azur (UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Université Côte d'Azur (UCA)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud]), Laboratoire de géologie de l'ENS (LGENS), École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux (IFSTTAR)-Institut national des sciences de l'Univers (INSU - CNRS)-Institut de recherche pour le développement [IRD] : UR219-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Università degli Studi di Camerino = University of Camerino (UNICAM), Laboratoire d'Ecologie Alpine (LECA ), Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Aix Marseille Université (AMU)-Institut national des sciences de l'Univers (INSU - CNRS)-Collège de France (CdF (institution))-Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Recherche Agronomique (INRA), Normandie Université (NU)-Normandie Université (NU)-Université d'Angers (UA)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Brest (UBO)-Université de Rennes 2 (UR2), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Centre National de la Recherche Scientifique (CNRS)-Institut de Géographie et d'Aménagement Régional de l'Université de Nantes (IGARUN), Institut national des sciences de l'Univers (INSU - CNRS)-Université de Montpellier (UM)-Université des Antilles (UA)-Centre National de la Recherche Scientifique (CNRS), École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-École normale supérieure - Paris (ENS Paris), Università degli Studi di Camerino (UNICAM), Puglisi, C., Proposito, M., Hailemikael, S., Falconi, L., Centre National de la Recherche Scientifique (CNRS)-Université de Rennes 2 (UR2), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Université de Brest (UBO)-École pratique des hautes études (EPHE)-Université de Nantes (UN)-Université d'Angers (UA)-Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU)-Centre National de la Recherche Scientifique (CNRS)-Université de Rennes 2 (UR2), Normandie Université (NU)-Normandie Université (NU), Centre National de la Recherche Scientifique (CNRS)-Université de La Réunion (UR)-Université Paris Diderot - Paris 7 (UPD7)-IPG PARIS-Institut national des sciences de l'Univers (INSU - CNRS), Institut national des sciences de l'Univers (INSU - CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Centre National de la Recherche Scientifique (CNRS)-Observatoire de la Côte d'Azur, Université Côte d'Azur (UCA)-Université Côte d'Azur (UCA), Villani, F., Civico, R., Pucci, S., Pizzimenti, L., Nappi, R., De Martini, P. M., Agosta, F., Alessio, G., Alfonsi, L., Amanti, M., Amoroso, S., Aringoli, D., Auciello, E., Azzaro, R., Baize, S., Bello, S., Benedetti, L., Bertagnini, A., Binda, G., Bisson, M., Blumetti, A. M., Bonadeo, L., Boncio, P., Bornemann, P., Branca, S., Braun, T., Brozzetti, F., Brunori, C. A., Burrato, P., Caciagli, M., Campobasso, C., Carafa, M., Cinti, F. R., Cirillo, D., Comerci, V., Cucci, L., De Ritis, R., Deiana, G., Del Carlo, P., Del Rio, L., Delorme, A., Di Manna, P., Di Naccio, D., Falcucci, E., Farabollini, P., Faure Walker, J. P., Ferrarini, F., Ferrario, M. F., Ferry, M., Feuillet, N., Fleury, J., Fracassi, U., Frigerio, C., Galluzzo, F., Gambillara, R., Gaudiosi, G., Goodall, H., Gori, S., Gregory, L. C., Guerrieri, L., Hollingsworth, J., Iezzi, F., Invernizzi, C., Jablonska, D., Jacques, E., Jomard, H., Kastelic, V., Klinger, Y., Lavecchia, G., Leclerc, F., Liberi, F., Lisi, A., Livio, F., Sardo, L., Malet, J. P., Mariucci, M. T., Materazzi, M., Maubant, L., Mazzarini, F., Mccaffrey, K. J. W., Michetti, A. M., Mildon, Z. K., Montone, P., Moro, M., Nave, R., Odin, M., Pace, B., Paggi, S., Pagliuca, N., Pambianchi, G., Pantosti, D., Patera, A., Perouse, E., Pezzo, G., Piccardi, L., Pierantoni, P. P., Pignone, M., Pinzi, S., Pistolesi, E., Point, J., Pousse, L., Pozzi, A., Puliti, I., Ricci, T., Ripamonti, L., Rizza, M., Roberts, G. P., Roncoroni, M., Sapia, V., Saroli, M., Sciarra, A., Scotti, O., Skupinski, G., Smedile, A., Soquet, A., Tarabusi, G., Tarquini, S., Terrana, S., Tesson, J., Tondi, E., Valentini, A., Vallone, R., Van Der Woerd, J., Vannoli, P., Venuti, A., Vittori, E., Volatili, T., Wedmore, L. N. J., Wilkinson, M., and Zambrano, M.

Subjects
Statistics and Probability, data collection, 010504 meteorology & atmospheric sciences, [SDU.STU.GP]Sciences of the Universe [physics]/Earth Sciences/Geophysics [physics.geo-ph], Library and Information Sciences, 010502 geochemistry & geophysics, computer.software_genre, 01 natural sciences, Education, 30 October 2016 Norcia earthquake, Earthquakes, ground deformation process, 0105 earth and related environmental sciences, [SDU.STU.TE]Sciences of the Universe [physics]/Earth Sciences/Tectonics, surface faulting hazard, Central Apennines, Database, Landslide, data acquisition system, Extensional definition, Computer Science Applications, 13. Climate action, Homogeneous, Georeference, ground deformation process, data acquisition system, Central Apennines, 30 October 2016 Norcia earthquake, Statistics, Probability and Uncertainty, computer, Relevant information, Geology, Information Systems
Abstract

We provide a database of the coseismic geological surface effects following the Mw 6.5 Norcia earthquake that hit central Italy on 30 October 2016. This was one of the strongest seismic events to occur in Europe in the past thirty years, causing complex surface ruptures over an area of >400 km2. The database originated from the collaboration of several European teams (Open EMERGEO Working Group; about 130 researchers) coordinated by the Istituto Nazionale di Geofisica e Vulcanologia. The observations were collected by performing detailed field surveys in the epicentral region in order to describe the geometry and kinematics of surface faulting, and subsequently of landslides and other secondary coseismic effects. The resulting database consists of homogeneous georeferenced records identifying 7323 observation points, each of which contains 18 numeric and string fields of relevant information. This database will impact future earthquake studies focused on modelling of the seismic processes in active extensional settings, updating probabilistic estimates of slip distribution, and assessing the hazard of surface faulting.

Published
2018
Full Text
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46. Surface ruptures following the 30 October 2016 M w 6.5 Norcia earthquake, central Italy

Author

Civico, R., Pucci, S., Villani, F., Pizzimenti, L., De Martini, P. M., Nappi, R., Agosta, F., Alessio, G., Alfonsi, L., Amanti, M., Amoroso, S., Aringoli, D., Auciello, E., Azzaro, R., Baize, S., Bello, S., Benedetti, L., Bertagnini, A., Binda, G., Bisson, M., Blumetti, A. M., Bonadeo, L., Boncio, P., Bornemann, P., Branca, S., Braun, T., Brozzetti, F., Brunori, C. A., Burrato, P., Caciagli, M., Campobasso, C., Carafa, M., Cinti, F. R., Cirillo, D., Comerci, V., Cucci, L., De Ritis, R., Deiana, G., Del Carlo, P., Del Rio, L., Delorme, A., Di Manna, P., Di Naccio, D., Falconi, L., Falcucci, E., Farabollini, P., Faure Walker, J. P., Ferrarini, F., Ferrario, M. F., Ferry, M., Feuillet, N., Fleury, J., Fracassi, U., Frigerio, C., Galluzzo, F., Gambillara, R., Gaudiosi, G., Goodall, H., Gori, S., Gregory, L. C., Guerrieri, L., Hailemikael, S., Iezzi, F., Invernizzi, C., Jablonská, D., Jacques, E., Jomard, H., Kastelic, V., Klinger, Y., Lavecchia, G., Leclerc, F., Liberi, F., Lisi, A., Livio, F., Lo Sardo, L., Malet, J. P., Mariucci, M. T., Materazzi, M., Mazzarini, F., Mccaffrey, K. J. W., Michetti, A. M., Mildon, Z. K., Montone, P., Moro, M., Nave, R., Odin, M., Pace, B., Paggi, S., Pagliuca, N., Pambianchi, G., Pantosti, D., Patera, A., Pérouse, E., Pezzo, G., Piccardi, L., Pierantoni, P. P., Pignone, M., Pinzi, S., Pistolesi, E., Point, J., Pozzi, A., Proposito, M., Puglisi, C., Puliti, I., Ricci, T., Ripamonti, Licia, Rizza, M., Roberts, G. P., Roncoroni, M., Sapia, V., Saroli, M., Sciarra, A., Scotti, O., Skupinski, G., Smedile, A., Tarabusi, G., Tarquini, S., Terrana, S., Tesson, J., Tondi, E., Valentini, A., Vallone, R., Van der Woerd, J., Vannoli, P., Venuti, A., Vittori, E., Volatili, T., Wedmore, L. N. J., Wilkinson, M., Zambrano, M., Istituto Nazionale di Geofisica e Vulcanologia [Bologna] ( INGV ), Géosciences Montpellier, Institut national des sciences de l'Univers ( INSU - CNRS ) -Université de Montpellier ( UM ) -Université des Antilles ( UA ) -Centre National de la Recherche Scientifique ( CNRS ), Istituto Nazionale di Geofisica e Vulcanologia - Sezione di Bologna (INGV), Istituto Nazionale di Geofisica e Vulcanologia, Institut national des sciences de l'Univers (INSU - CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Université des Antilles (UA), Géoazur (GEOAZUR 7329), Institut national des sciences de l'Univers (INSU - CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Centre National de la Recherche Scientifique (CNRS)-Observatoire de la Côte d'Azur, Université Côte d'Azur (UCA)-Université Côte d'Azur (UCA), Hailemikael, S., Institut national des sciences de l'Univers (INSU - CNRS)-Université de Montpellier (UM)-Université des Antilles (UA)-Centre National de la Recherche Scientifique (CNRS), Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de la Côte d'Azur, COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Université Côte d'Azur (UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Université Côte d'Azur (UCA)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud]), Institut de physique du globe de Strasbourg (IPGS), Institut national des sciences de l'Univers (INSU - CNRS)-Université Louis Pasteur - Strasbourg I-Centre National de la Recherche Scientifique (CNRS), Université Côte d'Azur (UCA)-Université Côte d'Azur (UCA)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud]), Institut Terre Environnement Strasbourg (ITES), École Nationale du Génie de l'Eau et de l'Environnement de Strasbourg (ENGEES)-Université de Strasbourg (UNISTRA)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS), Agosta, F., Alessio, G., Alfonsi, L., Amanti, M., Amoroso, S., Aringoli, D., Auciello, E., Azzaro, R., Baize, S., Bello, S., Benedetti, L., Bertagnini, A., Binda, G., Bisson, M., Blumetti, A. M., Bonadeo, L., Boncio, P., Bornemann, P., Branca, S., Braun, T., Brozzetti, F., Brunori, C. A., Burrato, P., Caciagli, M., Campobasso, C., Carafa, M., Cinti, F. R., Cirillo, D., Comerci, V., Cucci, L., De Ritis, R., Deiana, G., Del Carlo, P., Del Rio, L., Delorme, A., Di Manna, P., Di Naccio, D., Falconi, L., Falcucci, E., Farabollini, P., Faure Walker, J. P., Ferrarini, F., Ferrario, M. F., Ferry, M., Feuillet1, N., Fleury, J., Fracassi, U., Frigerio, C., Galluzzo, F., Gambillara, R., Gaudiosi, G., Goodall, H., Gori, S., Gregory, L. C., Guerrieri, L., Iezzi, F., Invernizzi, C., Jablonská, D., Jacques, E., Jomard, H., Kastelic, V., Klinger, Y., Lavecchia, G., Leclerc, F., Liberi, F., Lisi, A., Livio, F., Lo Sard8, L., Malet, J. P., Mariucci, M. T., Materazzi5, M., Mazzarini, F., Mccaffrey, K. J. W., Michett, A. M., Mildon, Z. K., Montone, P., Moro, M., Nave, R., Odin, M., Pace, B., Paggi, S., Pagliuca, N., Pambianchi, G., Pantosti, D., Patera, A., Pérouse, E., Pezzo, G., Piccardi, L., Pierantoni, P. P., Pignone, M., Pinzi, S., Pistolesi, E., Point, J., Pozzi, A., Proposito, M., Puglisi, C., Puliti, I., Ricci, T., Ripamonti, L., Rizza, M., Roberts, G. P., Roncoroni, M., Sapia, V., Saroli, M., Sciarra, A., Scotti, O., Skupinski, G., Smedile, A., Tarabusi, G., Tarquini, S., Terrana, S., Tesson, J., Tondi, E., Valentini, A., Vallone, R., Van der Woerd, J., Vannoli, P., Venuti, A., Vittori, E., Volatili, T., Wedmore, L. N. J., Wilkinson, M., Zambrano, M., Institut de Physique du Globe de Paris (IPGP), and Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris Diderot - Paris 7 (UPD7)-Université de La Réunion (UR)-Institut de Physique du Globe de Paris (IPG Paris)-Centre National de la Recherche Scientifique (CNRS)

Subjects
Surface (mathematics), Surface rupture, 010504 meteorology & atmospheric sciences, [SDU.STU.GP]Sciences of the Universe [physics]/Earth Sciences/Geophysics [physics.geo-ph], Field data, Geography, Planning and Development, [SDU.STU]Sciences of the Universe [physics]/Earth Sciences, Kinematics, Fault (geology), 010502 geochemistry & geophysics, 01 natural sciences, Surface faulting, geological prompt surveys, lcsh:G3180-9980, Earth and Planetary Sciences (miscellaneous), coseismic ruptures, normal faulting, 2016–2017 seismic sequence, central Italy, Coseismic rupture, ComputingMilieux_MISCELLANEOUS, 0105 earth and related environmental sciences, lcsh:Maps, [SDU.STU.TE]Sciences of the Universe [physics]/Earth Sciences/Tectonics, Geological prompt survey, 2016-2017 seismic sequence, Geological prompt surveys, Normal faulting, Coseismic ruptures, Central Italy, geography, geography.geographical_feature_category, Oblique case, [ SDU.STU ] Sciences of the Universe [physics]/Earth Sciences, es, 13. Climate action, Geology, Seismology
Abstract

We present a 1:25,000 scale map of the coseismic surface ruptures following the 30 October 2016 M-w 6.5 Norcia normal-faulting earthquake, central Italy. Detailed rupture mapping is based on almost 11,000 oblique photographs taken from helicopter flights, that has been verified and integrated with field data (>7000 measurements). Thanks to the common efforts of the Open EMERGEO Working Group (130 people, 25 research institutions and universities from Europe), we were able to document a complex surface faulting pattern with a dominant strike of N135 degrees-160 degrees (SW-dipping) and a subordinate strike of N320 degrees-345 degrees (NE-dipping) along about 28km of the active Mt. Vettore-Mt. Bove fault system. Geometric and kinematic characteristics of the rupture were observed and recorded along closely spaced, parallel or subparallel, overlapping or step-like synthetic and antithetic fault splays of the activated fault systems, comprising a total surface rupture length of approximately 46km when all ruptures were considered.

Published
2018

47. Correction: A database of the coseismic effects following the 30 October 2016 Norcia earthquake in central Italy (Scientific Data, (2018) 5, 10.1038/sdata.2018.49)

Author

Villani, F., Civico, R., Pucci, S., Pizzimenti, L., Nappi, R., De Martini, P. M., Agosta, F., Alessio, G., Alfonsi, L., Amanti, M., Amoroso, S., Aringoli, D., Auciello, E., Azzaro, R., Baize, S., Bello, S., Benedetti, L., Bertagnini, A., Binda, G., Bisson, M., Blumetti, A. M., Bonadeo, L., Boncio, P., Bornemann, P., Branca, S., Braun, T., Brozzetti, F., Brunori, C. A., Burrato, P., Caciagli, M., Campobasso, C., Carafa, M., Cinti, F. R., Cirillo, D., Comerci, V., Cucci, L., De Ritis, R., Deiana, G., Del Carlo, P., Del Rio, L., Delorme, A., Di Manna, P., Di Naccio, D., Falconi, L., Falcucci, E., Farabollini, P., Faure Walker, J. P., Ferrarini, F., Ferrario, M. F., Ferry, M., Feuillet, N., Fleury, J., Fracassi, U., Frigerio, C., Galluzzo, F., Gambillara, R., Gaudiosi, G., Goodall, H., Gori, S., Gregory, L. C., Guerrieri, L., Hailemikael, S., Hollingsworth, J., Iezzi, F., Invernizzi, C., Jablonska, D., Jacques, E., Jomard, H., Kastelic, V., Klinger, Y., Lavecchia, G., Leclerc, F., Liberi, F., Lisi, A., Livio, F., Lo Sardo, L., Malet, J. P., Mariucci, M. T., Materazzi, M., Maubant, L., Mazzarini, F., Mccaffrey, K. J. W., Michetti, A. M., Mildon, Z. K., Montone, P., Moro, M., Nave, R., Odin, M., Pace, B., Paggi, S., Pagliuca, N., Pambianchi, G., Pantosti, D., Patera, A., Perouse, E., Pezzo, G., Piccardi, L., Pierantoni, P. P., Pignone, M., Pinzi, S., Pistolesi, E., Point, J., Pousse, L., Pozzi, A., Proposito, M., Puglisi, C., Puliti, I., Ricci, T., Ripamonti, L., Rizza, M., Roberts, G. P., Roncoroni, M., Sapia, V., Saroli, M., Sciarra, A., Scotti, O., Skupinski, G., Smedile, A., Socquet, A., Tarabusi, G., Tarquini, S., Terrana, S., Tesson, J., Tondi, E., Valentini, A., Vallone, R., Van der Woerd, J., Vannoli, P., Venuti, A., Vittori, E., Volatili, T., Wedmore, L. N. J., Wilkinson, M., and Zambrano, M.

Published
2019

48. Assessment of Table Grape Quality Levels by using Headspace Solid Phase Microextraction Mass spectrometry-based Electronic Nose (HS-SPME MS-eNose) and 1H Nuclear Magnetic Resonance spectroscopy (1H NMR) fingerprinting techniques in combination with Multivariate Statistical Analyses

Author

Innamorato V., Longobardia F., Lippolis V., Cervellieri S., Damascelli A., Cefola M., Pace B., and Logrieco A.F.

Subjects
1H Nuclear Magnetic Resonance spectroscopy, Table Grape, Headspace Solid Phase Microextraction, Multivariate Statistical Analyses, Food quality, Mass spectrometry-based Electronic Nose
Abstract

Introduction: The Quality Level (QL) of table grape is defined through sensory evaluation of the its overall appearance by a five-point rating scale (from 5: excellent to 1: extremely poor). Since this evaluation is dependent on subjective judgments, the aim of this work was to develop methods based on MS-eNose and 1H NMR data for an objective QL assessment of two table grape cultivars, i.e. Vittoria and Italia. Methods: Table grape bunches were stored at 5 and 10 °C and sampled after a number of days needed to reach each QL. Berries were homogenized, centrifuged and the supernatant was analyzed by HS-SPME MS-eNose and 1H NMR. LDA and PLS-DA were applied on data to discriminate samples based on the five QLs (five class discrimination) and on their marketability/non-marketability (two class discrimination). Results: The model performances were expressed in terms of the prediction ability calculated by V-fold cross-validation procedure (CV=20%). For both cultivar, NMR model average prediction abilities ranged from 92 to 93%, and from 76 to 79%, in the two and five class discrimination, respectively. Better results were obtained in case of the MS-eNose models with mean prediction abilities ranged from 98 to 100% (two class discrimination), and from 86 to 100% (five class discrimination). In particular, the best prediction abilities of 100% were obtained in case of cv. Vittoria for MS-eNose PCA-LDA in both discriminations (two and five class discriminations) and for MS-eNose PLS-DA in the two class discimination. Conclusions: Taking into account the results obtained, both analytical technologies adopted herein could be used as valid and rapid tools for the table grape quality evaluation. In details, although NMR data can provides additional information on the identification of quality marker metabolites MS-eNose predictive models showed better performances in both types of discriminations.

Published
2019

49. Low-latency Gravitational-wave Alerts for Multimessenger Astronomy during the Second Advanced LIGO and Virgo Observing Run

Author

Abbott, (Abbott, Bp, Abbott, B. P., (Abbott, R, Abbott, R., (Abbott, Td, Abraham, T. D., (Abraham, S, Acernese, S., (Acernese, F, Ackley, F., (Ackley, K, Adams, K., (Adams, C, Adhikari, C., (Adhikari, Rx, Adya, R. X., (Adya, Vb, Affeldt, V. B., (Affeldt, C, Agathos, C., (Agathos, M, Agatsuma, M., (Agatsuma, K, Aggarwal, K., (Aggarwal, N, Aguiar, N., (Aguiar, Od, Aiello, O. D., (Aiello, L, Ain, L., (Ain, A, Ajith, A., (Ajith, P, Allen, P., (Allen, G, Allocca, G., (Allocca, A, Aloy, A., (Aloy, Ma, Altin, M. A., (Altin, Pa, Amato, P. A., (Amato, A, Ananyeva, A., (Ananyeva, A, Anderson, A., (Anderson, Sb, Anderson, S. B., (Anderson, Wg, Angelova, W. G., (Angelova, Sv, V), S., Antier, (Antier, S, Appert, S., (Appert, S, Arai, S., (Arai, K, Araya, K., (Araya, Mc, Areeda, M. C., (Areeda, Js, Arene, J. S., (Arene, M, Arnaud, M., (Arnaud, N, Ascenzi, N., (Ascenzi, S, Ashton, S., (Ashton, G, Aston, G., (Aston, Sm, Astone, S. M., (Astone, P, Aubin, P., (Aubin, F, Aufmuth, F., (Aufmuth, P, AultONeal, P., (AultONeal, K, Austin, K., (Austin, C, Avendano, C., (Avendano, V, Avila-Alvarez, V), (Avila-Alvarez, A, Babak, A., (Babak, S, Bacon, S., (Bacon, P, Badaracco, P., (Badaracco, F, Bader, F., Mkm, (Bader, Bae, M. K. M., (Bae, S, Baker, S., (Baker, Pt, Baldaccini, P. T., (Baldaccini, F, Ballardin, F., (Ballardin, G, Ballmer, G., (Ballmer, Sw, Banagiri, S. W., (Banagiri, S, Barayoga, S., (Barayoga, Jc, Barclay, J. C., (Barclay, Se, Barish, S. E., (Barish, Bc, Barker, B. C., (Barker, D, Barkett, D., (Barkett, K, Barnum, K., (Barnum, S, Barone, S., (Barone, F, Barr, F., (Barr, B, Barsotti, B., (Barsotti, L, Barsuglia, L., (Barsuglia, M, Barta, M., (Barta, D, Bartlett, D., (Bartlett, J, Bartos, J., (Bartos, I, Bassiri, I), (Bassiri, R, Basti, R., (Basti, A, Bawaj, A., (Bawaj, M, Bayley, M., (Bayley, Jc, Bazzan, J. 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E., Wade114, M., Walet36, R., Walker26, M., Wallace1, L., Walsh23, S., Wang14, G., Wang11, H., Wang125, J. Z., Wang103, W. H., Wang90, Y. F., Ward21, R. L., Warden33, Z. A., Warner44, J., Was32, M., Watchi99, J., Weaver44, B., Wei8, L. -W., Weinert8, M., Weinstein1, A. J., Weiss12, R., Wellmann8, F., Wen62, L., Wessel17, E. K., Weßels8, P., Westhouse33, J. W., Wette21, K., Whelan57, J. T., Whiting47, B. F., Whittle12, C., Wilken8, D. M., Williams43, D., Williamson36, A. R., Willis1, J. L., Willke8, B., Wimmer8, M. H., Winkler8, W., Wipf1, C. C., Wittel8, H., Woan43, G., Woehler8, J., Wofford57, J. K., Worden44, J., Wright43, J. L., Wu8, D. S., Wysocki57, D. M., Xiao1, L., Yamamoto1, H., Yancey75, C. C., Yang113, L., Yap21, M. J., Yazback47, M., Yeeles67, D. W., Yu12, Hang, Yu12, Haocun, Yuen90, S. H. R., Yvert32, M., Zadrożny103, A. K., Zanolin33, M., Zelenova28, T., Zendri51, J. -P., Zevin58, M., Zhang62, J., Zhang1, L., Zhang43, T., Zhao62, C., Zhou58, M., Zhou58, Z., Zimmerman177, A. B., Zhu6, X. J., Zucker1, M. E., Zweizig, and J., Laboratoire des matériaux avancés (LMA), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Laboratoire de l'Accélérateur Linéaire (LAL), Université Paris-Sud - Paris 11 (UP11)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), AstroParticule et Cosmologie (APC (UMR_7164)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), Laboratoire d'Annecy de Physique des Particules (LAPP), Institut National de Physique Nucléaire et de 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LIGO Scientific, Virgo, Université de Lyon-Université de Lyon-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Observatoire de Paris, PSL Research University (PSL)-PSL Research University (PSL)-Université Paris Diderot - Paris 7 (UPD7), Laboratoire d'Annecy de Physique des Particules (LAPP/Laboratoire d'Annecy-le-Vieux de Physique des Particules), Université Nice Sophia Antipolis (... - 2019) (UNS), Université Côte d'Azur (UCA)-Université Côte d'Azur (UCA)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de la Côte d'Azur, Université Côte d'Azur (UCA)-Centre National de la Recherche Scientifique (CNRS), Université de 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Research University (PSL)-Université Paris Diderot - Paris 7 (UPD7)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Abbott, Bp, Abbott, R, Abbott, Td, Abraham, S, Acernese, F, Ackley, K, Adams, C, Adhikari, Rx, Adya, Vb, Affeldt, C, Agathos, M, Agatsuma, K, Aggarwal, N, Aguiar, Od, Aiello, L, Ain, A, Ajith, P, Allen, G, Allocca, A, Aloy, Ma, Altin, Pa, Amato, A, Ananyeva, A, Anderson, Sb, Anderson, Wg, Angelova, Sv, Antier, S, Appert, S, Arai, K, Araya, Mc, Areeda, J, Arene, M, Arnaud, N, Ascenzi, S, Ashton, G, Aston, Sm, Astone, P, Aubin, F, Aufmuth, P, Aultoneal, K, Austin, C, Avendano, V, Avila-Alvarez, A, Babak, S, Bacon, P, Badaracco, F, Bader, Mkm, Bae, S, Baker, Pt, Baldaccini, F, Ballardin, G, Ballmer, Sw, Banagiri, S, Barayoga, Jc, Barclay, Se, Barish, Bc, Barker, D, Barkett, K, Barnum, S, Barone, F, Barr, B, Barsotti, L, Barsuglia, M, Barta, D, Bartlett, J, Bartos, I, Bassiri, R, Basti, A, Bawaj, M, Bayley, Jc, Bazzan, M, Becsy, B, Bejger, M, Belahcene, I, Bell, A, Beniwal, D, Berger, Bk, Bergmann, G, Bernuzzi, S, Bero, Jj, Berry, Cpl, Bersanetti, D, Bertolini, A, Betzwieser, J, Bhandare, R, Bidler, J, Bilenko, Ia, Bilgili, Sa, Billingsley, G, Birch, J, Birney, R, Birnholtz, O, Biscans, S, Biscoveanu, S, Bisht, A, Bitossi, M, Bizouard, Ma, Blackburn, Jk, Blair, Cd, Blair, Dg, Blair, Rm, Bloemen, S, Bode, N, Boer, M, Boetzel, Y, Bogaert, G, Bondu, F, Bonilla, E, Bonnand, R, Booker, P, Boom, Ba, Booth, Cd, Bork, R, Boschi, V, Bose, S, Bossie, K, Bossilkov, V, Bosveld, J, Bouffanais, Y, Bozzi, A, Bradaschia, C, Brady, Pr, Bramley, A, Branchesi, M, Brau, Je, Briant, T, Briggs, Jh, Brighenti, F, Brillet, A, Brinkmann, M, Brisson, V, Brockill, P, Brooks, Af, Brown, Dd, Brunett, S, Buikema, A, Bulik, T, Bulten, Hj, Buonanno, A, Buskulic, D, Buy, C, Byer, Rl, Cabero, M, Cadonati, L, Cagnoli, G, Cahillane, 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Essick, Rc, Estelles, H, Estevez, D, Etienne, Zb, Etzel, T, Evans, M, Evans, Tm, Fafone, V, Fair, H, Fairhurst, S, Fan, X, Farinon, S, Farr, B, Farr, Wm, Fauchon-Jones, Ej, Favata, M, Fays, M, Fazio, M, Fee, C, Feicht, J, Fejer, Mm, Feng, F, Fernandez-Galiana, A, Ferrante, I, Ferreira, Ec, Ferreira, Ta, Ferrini, F, Fidecaro, F, Fiori, I, Fiorucci, D, Fishbach, M, Fisher, Rp, Fishner, Jm, Fitz-Axen, M, Flaminio, R, Fletcher, M, Flynn, E, Fong, H, Font, Ja, Forsyth, Pwf, Fournier, Jd, Frasca, S, Frasconi, F, Frei, Z, Freise, A, Frey, R, Frey, V, Fritschel, P, Frolov, Vv, Fulda, P, Fyffe, M, Gabbard, Ha, Gadre, Bu, Gaebel, Sm, Gair, Jr, Gammaitoni, L, Ganija, Mr, Gaonkar, Sg, Garcia, A, Garcia-Quiros, C, Garufi, F, Gateley, B, Gaudio, S, Gaur, G, Gayathri, V, Gemme, G, Genin, E, Gennai, A, George, D, George, J, Gergely, L, Germain, V, Ghonge, S, Ghosh, A, Ghosh, S, Giacomazzo, B, Giaime, Ja, Giardina, Kd, Giazotto, A, Gill, K, Giordano, G, Glover, L, Godwin, P, Goetz, E, Goetz, R, Goncharov, B, Gonzalez, G, Castro, Jmg, Gopakumar, A, Gorodetsky, Ml, Gossan, Se, Gosselin, M, Gouaty, R, Grado, A, Graef, C, Granata, M, Grant, A, Gras, S, Grassia, P, Gray, C, Gray, R, Greco, G, Green, Ac, Green, R, Gretarsson, Em, Groot, P, Grote, H, Grunewald, S, Gruning, P, Guidi, Gm, Gulati, Hk, Guo, Y, Gupta, A, Gupta, Mk, Gustafson, Ek, Gustafson, R, Haegel, L, Halim, O, Hall, Br, Hall, Ed, Hamilton, Ez, Hammond, G, Haney, M, Hanke, Mm, Hanks, J, Hanna, C, Hannuksela, Oa, Hanson, J, Hardwick, T, Haris, K, Harms, J, Harry, Gm, Harry, Iw, Haster, Cj, Haughian, K, Hayes, Fj, Healy, J, Heidmann, A, Heintze, Mc, Heitmann, H, Hello, P, Hemming, G, Hendry, M, Heng, I, Hennig, J, Heptonstall, Aw, Vivanco, Fh, Heurs, M, Hild, S, Hinderer, T, Hoak, D, Hochheim, S, Hofman, D, Holgado, Am, Holland, Na, Holt, K, Holz, De, Hopkins, P, Horst, C, Hough, J, Howell, Ej, Hoy, Cg, Hreibi, A, Huerta, Ea, Huet, D, Hughey, B, Hulko, M, Husa, S, Huttner, Sh, Huynh-Dinh, T, Idzkowski, B, Iess, A, Ingram, C, Inta, R, Intini, G, Irwin, B, Isa, Hn, Isac, Jm, Isi, M, Iyer, Br, Izumi, K, Jacqmin, T, Jadhav, Sj, Jani, K, Janthalur, Nn, Jaranowski, P, Jenkins, Ac, Jiang, J, Johnson, D, Jones, Aw, Jones, Di, Jones, R, Jonker, Rjg, Ju, L, Junker, J, Kalaghatgi, Cv, Kalogera, V, Kamai, B, Kandhasamy, S, Kang, G, Kanner, Jb, Kapadia, Sj, Karki, S, Karvinen, K, Kashyap, R, Kasprzack, M, Katsanevas, S, Katsavounidis, E, Katzman, W, Kaufer, S, Kawabe, K, Keerthana, Nv, Kefelian, F, Keitel, D, Kennedy, R, Key, J, Khalili, Fy, Khan, H, Khan, I, Khan, S, Khan, Z, Khazanov, Ea, Khursheed, M, Kijbunchoo, N, Kim, C, Kim, Jc, Kim, K, Kim, W, Kim, Ym, Kimball, C, King, Ej, King, Pj, Kinley-Hanlon, M, Kirchhoff, R, Kissel, J, Kleybolte, L, Klika, Jh, Klimenko, S, Knowles, Td, Koch, P, Koehlenbeck, Sm, Koekoek, G, Koley, S, Kondrashov, V, Kontos, A, Koper, N, Korobko, M, Korth, Wz, Kowalska, I, Kozak, Db, Kringel, V, Krishnendu, N, Krolak, A, Kuehn, G, Kumar, A, Kumar, P, Kumar, R, Kumar, S, Kuo, L, Kutynia, A, Kwang, S, Lackey, Bd, Lai, Kh, Lam, Tl, Landry, M, Lane, Bb, Lang, Rn, Lange, J, Lantz, B, Lanza, Rk, Lartaux-Vollard, A, Lasky, Pd, Laxen, M, Lazzarini, A, Lazzaro, C, Leaci, P, Leavey, S, Lecoeuche, Yk, Lee, Ch, Lee, Hk, Lee, Hm, Lee, Hw, Lee, J, Lee, K, Lehmann, J, Lenon, A, Leroy, N, Letendre, N, Levin, Y, Li, J, Li, Kjl, Li, Tgf, Li, X, Lin, F, Linde, F, Linker, Sd, Littenberg, Tb, Liu, J, Liu, X, Lo, Rkl, Lockerbie, Na, London, Lt, Longo, A, Lorenzini, M, Loriette, V, Lormand, M, Losurdo, G, Lough, Jd, Lousto, Co, Lovelace, G, Lower, Me, Luck, H, Lumaca, D, Lundgren, Ap, Lynch, R, Ma, Y, Macas, R, Macfoy, S, Macinnis, M, Macleod, Dm, Macquet, A, Magana-Sandoval, F, Zertuche, Lm, Magee, Rm, Majorana, E, Maksimovic, I, Malik, A, Man, N, Mandic, V, Mangano, V, Mansell, Gl, Manske, M, Mantovani, M, Marchesoni, F, Marion, F, Marka, S, Marka, Z, Markakis, C, Markosyan, A, Markowitz, A, Maros, E, Marquina, A, Marsat, S, Martelli, F, Martin, Iw, Martin, Rm, Martynov, Dv, Mason, K, Massera, E, Masserot, A, Massinger, Tj, Masso-Reid, M, Mastrogiovanni, S, Matas, A, Matichard, F, Matone, L, Mavalvala, N, Mazumder, N, Mccann, Jj, Mccarthy, R, Mcclelland, De, Mccormick, S, Mcculler, L, Mcguire, Sc, Mciver, J, Mcmanus, Dj, Mcrae, T, Mcwilliams, St, Meacher, D, Meadors, Gd, Mehmet, M, Mehta, Ak, Meidam, J, Melatos, A, Mendell, G, Mercer, Ra, Mereni, L, Merilh, El, Merzougui, M, Meshkov, S, Messenger, C, Messick, C, Metzdorff, R, Meyers, Pm, Miao, H, Michel, C, Middleton, H, Mikhailov, Ee, Milano, L, Miller, Al, Miller, A, Millhouse, M, Mills, Jc, Milovich-Goff, Mc, Minazzoli, O, Minenkov, Y, Mishkin, A, Mishra, C, Mistry, T, Mitra, S, Mitrofanov, Vp, Mitselmakher, G, Mittleman, R, Mo, G, Moffa, D, Mogushi, K, Mohapatra, Srp, Montani, M, Moore, Cj, Moraru, D, Moreno, G, Morisaki, S, Mours, B, Mow-Lowry, Cm, Mukherjee, A, Mukherjee, D, Mukherjee, S, Mukund, N, Mullavey, A, Munch, J, Muniz, Ea, Muratore, M, Murray, Pg, Nagar, A, Nardecchia, I, Naticchioni, L, Nayak, Rk, Neilson, J, Nelemans, G, Nelson, Tjn, Nery, M, Neunzert, A, Ng, Ky, Ng, S, Nguyen, P, Nichols, D, Nissanke, S, Nitz, A, Nocera, F, North, C, Nuttall, Lk, Obergaulinger, M, Oberling, J, O'Brien, Bd, O'Dea, Gd, Ogin, Gh, Oh, Jj, Oh, Sh, Ohme, F, Ohta, H, Okada, Ma, Oliver, M, Oppermann, P, Oram, Rj, O'Reilly, B, Ormiston, Rg, Ortega, Lf, O'Shaughnessy, R, Ossokine, S, Ottaway, Dj, Overmier, H, Owen, Bj, Pace, Ae, Pagano, G, Page, Ma, Pai, A, Pai, Sa, Palamos, Jr, Palashov, O, Palomba, C, Pal-Singh, A, Pan, Hw, Pang, B, Pang, Pth, Pankow, C, Pannarale, F, Pant, Bc, Paoletti, F, Paoli, A, Parida, A, Parker, W, Pascucci, D, Pasqualetti, A, Passaquieti, R, Passuello, D, Patil, M, Patricelli, B, Pearlstone, Bl, Pedersen, C, Pedraza, M, Pedurand, R, Pele, A, Penn, S, Perez, Cj, Perreca, A, Pfeiffer, Hp, Phelps, M, Phukon, K, Piccinni, Oj, Pichot, M, Piergiovanni, F, Pillant, G, Pinard, L, Pirello, M, Pitkin, M, Poggiani, R, Pong, Dyt, Ponrathnam, S, Popolizio, P, Porter, Ek, Powell, J, Prajapati, Ak, Prasad, J, Prasai, K, Prasanna, R, Pratten, G, Prestegard, T, Privitera, S, Prodi, Ga, Prokhorov, Lg, Puncken, O, Punturo, M, Puppo, P, Purrer, M, Qi, H, Quetschke, V, Quinonez, Pj, Quintero, Ea, Quitzow-James, R, Raab, Fj, Radkins, H, Radulescu, N, Raffai, P, Raja, S, Rajan, C, Rajbhandari, B, Rakhmanov, M, Ramirez, Ke, Ramos-Buades, A, Rana, J, Rao, K, Rapagnani, P, Raymond, V, Razzano, M, Read, J, Regimbau, T, Rei, L, Reid, S, Reitze, Dh, Ren, W, Ricci, F, Richardson, Cj, Richardson, Jw, Ricker, Pm, Riles, K, Rizzo, M, Robertson, Na, Robie, R, Robinet, F, Rocchi, A, Rolland, L, Rollins, Jg, Roma, Vj, Romanelli, M, Romano, R, Romel, Cl, Romie, Jh, Rose, K, Rosinska, D, Rosofsky, Sg, Ross, Mp, Rowan, S, Rudiger, A, Ruggi, P, Rutins, G, Ryan, K, Sachdev, S, Sadecki, T, Sakellariadou, M, Salconi, L, Saleem, M, Samajdar, A, Sammut, L, Sanchez, Ej, Sanchez, Le, Sanchis-Gual, N, Sandberg, V, Sanders, Jr, Santiago, Ka, Sarin, N, Sassolas, B, Saulson, Pr, Sauter, O, Savage, Rl, Schale, P, Scheel, M, Scheuer, J, Schmidt, P, Schnabel, R, Schofield, Rm, Schonbeck, A, Schreiber, E, Schulte, Bw, Schutz, Bf, Schwalbe, Sg, Scott, J, Scott, Sm, Seidel, E, Sellers, D, Sengupta, A, Sennett, N, Sentenac, D, Sequino, V, Sergeev, A, Setyawati, Y, Shaddock, Da, Shaffer, T, Shahriar, M, Shaner, Mb, Shao, L, Sharma, P, Shawhan, P, Shen, H, Shink, R, Shoemaker, Dh, Shoemaker, Dm, Shyamsundar, S, Siellez, K, Sieniawska, M, Sigg, D, Silva, Ad, Singer, Lp, Singh, N, Singhal, A, Sintes, Am, Sitmukhambetov, S, Skliris, V, Slagmolen, Bjj, Slaven-Blair, Tj, Smith, Jr, Smith, Rje, Somala, S, Son, Ej, Sorazu, B, Sorrentino, F, Souradeep, T, Sowell, E, Spencer, Ap, Srivastava, Ak, Srivastava, V, Staats, K, Stachie, C, Standke, M, Steer, Da, Steinke, M, Steinlechner, J, Steinlechner, S, Steinmeyer, D, Stevenson, Sp, Stocks, D, Stone, R, Stops, Dj, Strain, Ka, Stratta, G, Strigin, Se, Strunk, A, Sturani, R, Stuver, Al, Sudhir, V, Summerscales, Tz, Sun, L, Sunil, S, Suresh, J, Sutton, Pj, Swinkels, Bl, Szczepanczyk, Mj, Tacca, M, Tait, Sc, Talbot, C, Talukder, D, Tanner, Db, Tapai, M, Taracchini, A, Tasson, Jd, Taylor, R, Thies, F, Thomas, M, Thomas, P, Thondapu, Sr, Thorne, Ka, Thrane, E, Tiwari, S, Tiwari, V, Toland, K, Tonelli, M, Tornasi, Z, Torres-Forne, A, Torrie, Ci, Toyra, D, Travasso, F, Traylor, G, Tringali, Mc, Trovato, A, Trozzo, L, Trudeau, R, Tsang, Kw, Tse, M, Tso, R, Tsukada, L, Tsuna, D, Tuyenbayev, D, Ueno, K, Ugolini, D, Unnikrishnan, C, Urban, Al, Usman, Sa, Vahlbruch, H, Vajente, G, Valdes, G, van Bakel, N, van Beuzekom, M, van den Brand, Jfj, Van den Broeck, C, Vander-Hyde, Dc, van Heijningen, Jv, van der Schaaf, L, van Veggel, Aa, Vardaro, M, Varma, V, Vass, S, Vasuth, M, Vecchio, A, Vedovato, G, Veitch, J, Veitch, Pj, Venkateswara, K, Venugopalan, G, Verkindt, D, Vetrano, F, Vicere, A, Viets, Ad, Vine, Dj, Vinet, Jy, Vitale, S, Vo, T, Vocca, H, Vorvick, C, Vyatchanin, Sp, Wade, Ar, Wade, Le, Wade, M, Walet, R, Walker, M, Wallace, L, Walsh, S, Wang, G, Wang, H, Wang, Jz, Wang, Wh, Wang, Yf, Ward, Rl, Warden, Za, Warner, J, Was, M, Watchi, J, Weaver, B, Wei, Lw, Weinert, M, Weinstein, Aj, Weiss, R, Wellmann, F, Wen, L, Wessel, Ek, Wessels, P, Westhouse, Jw, Wette, K, Whelan, Jt, Whiting, Bf, Whittle, C, Wilken, Dm, Williams, D, Williamson, Ar, Willis, Jl, Willke, B, Wimmer, Mh, Winkler, W, Wipf, Cc, Wittel, H, Woan, G, Woehler, J, Wofford, Jk, Worden, J, Wright, Jl, Wu, D, Wysocki, Dm, Xiao, L, Yamamoto, H, Yancey, Cc, Yang, L, Yap, Mj, Yazback, M, Yeeles, Dw, Yu, H, Yu, Hc, Yuen, Shr, Yvert, M, Zadrozny, Ak, Zanolin, M, Zelenova, T, Zendri, Jp, Zevin, M, Zhang, J, Zhang, L, Zhang, T, Zhao, C, Zhou, M, Zhou, Z, Zimmerman, Ab, Zhu, Xj, Zucker, Me, Zweizig, J, Abbott, B, Abbott, T, Adhikari, R, Adya, V, Aguiar, O, Aloy, M, Altin, P, Anderson, S, Anderson, W, Angelova, S, Araya, M, Aston, S, Bader, M, Baker, P, Ballmer, S, Barayoga, J, Barclay, S, Barish, B, Bayley, J, Berger, B, Bero, J, Berry, C, Bilenko, I, Bilgili, S, Bizouard, M, Blackburn, J, Blair, C, Blair, D, Blair, R, Boom, B, Booth, C, Brady, P, Brau, J, Briggs, J, Brooks, A, Brown, D, Bulten, H, Byer, R, Bustillo, J, Callister, T, Camp, J, Campbell, W, Cannon, K, Carney, M, Diaz, J, Chamberlin, S, Chase, E, Cheeseboro, B, Chen, H, Cheng, H, Cheong, C, Chia, H, Chung, K, Ciobanu, A, Clark, J, Cohadon, P, Collette, C, Cominsky, L, Cooper, S, Corbitt, T, Corley, K, Costa, C, Coughlin, M, Coughlin, S, Coulon, J, Countryman, S, Covas, P, Cowan, E, Coward, D, Cowart, M, Coyne, D, Creighton, J, Creighton, T, Crowder, S, Cullen, T, Canton, T, Danilishin, S, Datrier, L, Daw, E, Pozzo, W, Demarchi, L, De Varona, O, Diaz, M, Fiore, L, Giovanni, M, Girolamo, T, Lieto, A, Pace, S, Palma, I, Renzo, F, Dooley, K, Downes, T, Driggers, J, Ducoin, J, Dwyer, S, Easter, P, Edo, T, Edwards, M, Eisenstein, R, Essick, R, Etienne, Z, Evans, T, Farr, W, Fauchon-Jones, E, Fejer, M, Ferreira, E, Ferreira, T, Fisher, R, Fishner, J, Font, J, Forsyth, P, Fournier, J, Frolov, V, Gabbard, H, Gadre, B, Gaebel, S, Gair, J, Ganija, M, Gaonkar, S, Giaime, J, Giardina, K, Castro, J, Gorodetsky, M, Gossan, S, Green, A, Gretarsson, E, Guidi, G, Gulati, H, Gupta, M, Gustafson, E, Hall, B, Hall, E, Hamilton, E, Hanke, M, Hannuksela, O, Harry, G, Harry, I, Haster, C, Hayes, F, Heintze, M, Heptonstall, A, Vivanco, F, Holgado, A, Holland, N, Holz, D, Howell, E, Hoy, C, Huerta, E, Huttner, S, Isa, H, Isac, J, Iyer, B, Jadhav, S, Janthalur, N, Jenkins, A, Jones, A, Jones, D, Jonker, R, Kalaghatgi, C, Kanner, J, Kapadia, S, Keerthana, N, Khalili, F, Khazanov, E, Kim, J, Kim, Y, King, E, King, P, Klika, J, Knowles, T, Koehlenbeck, S, Korth, W, Kozak, D, Lackey, B, Lai, K, Lam, T, Lane, B, Lang, R, Lanza, R, Lasky, P, Lecoeuche, Y, Lee, C, Lee, H, Li, K, Li, T, Linker, S, Littenberg, T, Lo, R, Lockerbie, N, London, L, Lough, J, Lousto, C, Lower, M, Lundgren, A, Macleod, D, Zertuche, L, Magee, R, Mansell, G, Martin, I, Martin, R, Martynov, D, Massinger, T, Mccann, J, Mcclelland, D, Mcguire, S, Mcmanus, D, Mcwilliams, S, Meadors, G, Mehta, A, Mercer, R, Merilh, E, Meyers, P, Mikhailov, E, Mills, J, Milovich-Goff, M, Mitrofanov, V, Mohapatra, S, Moore, C, Mow-Lowry, C, Muniz, E, Murray, P, Nayak, R, Nelson, T, Ng, K, Nuttall, L, O'Brien, B, O'Dea, G, Ogin, G, Oh, J, Oh, S, Okada, M, Oram, R, Ormiston, R, Ortega, L, Ottaway, D, Owen, B, Pace, A, Page, M, Pai, S, Palamos, J, Pan, H, Pang, P, Pant, B, Pearlstone, B, Perez, C, Pfeiffer, H, Piccinni, O, Pong, D, Porter, E, Prajapati, A, Prodi, G, Prokhorov, L, Quinonez, P, Quintero, E, Raab, F, Ramirez, K, Reitze, D, Richardson, C, Richardson, J, Ricker, P, Robertson, N, Rollins, J, Roma, V, Romel, C, Romie, J, Rosofsky, S, Ross, M, Sanchez, E, Sanchez, L, Sanders, J, Santiago, K, Saulson, P, Savage, R, Schofield, R, Schulte, B, Schutz, B, Schwalbe, S, Scott, S, Shaddock, D, Shaner, M, Shoemaker, D, Silva, A, Singer, L, Sintes, A, Slagmolen, B, Slaven-Blair, T, Smith, J, Smith, R, Son, E, Spencer, A, Srivastava, A, Steer, D, Stevenson, S, Stops, D, Strain, K, Strigin, S, Stuver, A, Summerscales, T, Sutton, P, Swinkels, B, Szczepanczyk, M, Tait, S, Tanner, D, Tasson, J, Thondapu, S, Thorne, K, Torrie, C, Tringali, M, Tsang, K, Urban, A, Usman, S, Van Bakel, N, Van Beuzekom, M, Van Den Brand, J, Broeck, C, Vander-Hyde, D, Van Heijningen, J, Van Der Schaaf, L, Van Veggel, A, Veitch, P, Viets, A, Vine, D, Vinet, J, Vyatchanin, S, Wade, A, Wade, L, Wang, J, Wang, W, Wang, Y, Ward, R, Warden, Z, Wei, L, Weinstein, A, Wessel, E, Westhouse, J, Whelan, J, Whiting, B, Wilken, D, Williamson, A, Willis, J, Wimmer, M, Wipf, C, Wofford, J, Wright, J, Wysocki, D, Yancey, C, Yap, M, Yeeles, D, Yuen, S, Zadrozny, A, Zendri, J, Zimmerman, A, Zhu, X, Zucker, M, Centre National de la Recherche Scientifique (CNRS)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon, Centre National de la Recherche Scientifique (CNRS)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Paris-Sud - Paris 11 (UP11), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP), Centre National de la Recherche Scientifique (CNRS)-Observatoire de la Côte d'Azur, Université Côte d'Azur (UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Université Côte d'Azur (UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-École Nationale Supérieure des Sciences Appliquées et de Technologie (ENSSAT)-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-Fédération de recherche du Département de physique de l'Ecole Normale Supérieure - ENS Paris (FRDPENS), Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Collège de France (CdF (institution)), Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3), (Astro)-Particles Physics, The LIGO Scientific Collaboration, The Virgo Collaboration, IoP (FNWI), and Astroparticle Physics (IHEF, IoP, FNWI)

Subjects
010504 meteorology & atmospheric sciences, data acquisition, Astronomy, 01 natural sciences, black hole, optical, LIGO, gravitational waves, methods: data analysis, gravitational wave, 010303 astronomy & astrophysics, QC, QB, High Energy Astrophysical Phenomena (astro-ph.HE), Settore FIS/01, astro-ph.HE, Physics, NUCLEOSYNTHESIS, radio wave, COMPACT BINARIES, EJECTION, gravitational waves, neutron stars, Physical Sciences, Neutrino, Astrophysics - High Energy Astrophysical Phenomena, on-line, Astrophysics::High Energy Astrophysical Phenomena, FOS: Physical sciences, NEUTRON-STAR MERGERS, gamma ray: burst, Astronomy & Astrophysics, X-ray, General Relativity and Quantum Cosmology, SDG 17 - Partnerships for the Goals, RAY BURSTS, 0103 physical sciences, data analysis [methods], STFC, 0105 earth and related environmental sciences, Science & Technology, Gravitational wave, gravitational radiation, Online identification, RCUK, Astronomy and Astrophysics, messenger, Neutron star, VIRGO, electromagnetic, Physics and Astronomy, Space and Planetary Science, RADIATION, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], Gamma-ray burst, neutron star: coalescence
Abstract

Advanced LIGO's second observing run (O2), conducted from November 30, 2016 to August 25, 2017, combined with Advanced Virgo's first observations in August 2017 witnessed the birth of gravitational-wave multi-messenger astronomy. The first ever gravitational-wave detection from the coalescence of two neutron stars, GW170817, and its gamma-ray counterpart, GRB 170817A, led to an electromagnetic follow-up of the event at an unprecedented scale. Several teams from across the world searched for EM/neutrino counterparts to GW170817, paving the way for the discovery of optical, X-ray, and radio counterparts. In this article, we describe the online identification of gravitational-wave transients and the distribution of gravitational-wave alerts by the LIGO and Virgo collaborations during O2. We also describe the gravitational-wave observables which were sent in the alerts to enable searches for their counterparts. Finally, we give an overview of the online candidate alerts shared with observing partners during O2. Alerts were issued for 14 candidates, six of which have been confirmed as gravitational-wave events associated with the merger of black holes or neutron stars. Eight of the 14 alerts were issued less than an hour after data acquisition., Comment: 27 pages, 5 figures, 3 tables, accepted for publication in the Astrophysical Journal

Published
2019

50. High CO2 short-term treatment to preserve quality and volatiles profile of fresh-cut artichokes during cold storage

Author

Capotorto I., Innamorato V., Cefola M., Cervellieri S., Lippolis V., Longobardi F., and Pace B.

Subjects
Cynara cardunculus L, Respiration rate, VOCs, High-CO2 modified atmosphere, Metabolic profile
Abstract

Artichoke is classified as highly perishable product due to its high respiration rate that limits its shelf-life. Moreover, processing artichokes as a fresh-cut produce require washing, trimming and cutting operations that increase respiration rate, accelerate senescence and enzymatic browning, causing undesirable changes in the sensory, nutritional and health promoting properties. The use of post-harvest technologies can be a valid approach to preserve the quality and extend the shelf-life of this perishable product. Hence, the aim of this research was to evaluate the effect of a short-term treatment (48 h at 0°C) with different concentrations of high CO2 (CO2-10%, CO2-20%, CO2-30%, CO2-40% or AIR) in modified atmosphere (MA) on quality parameters and on Volatile Organic Compounds (VOCs) profile of fresh-cut artichokes. Samples were kept at 0°C for 48 h applying MA, then stored at 5°C in air and analyzed after 1, 4 and 7 days. The effect of different short-term CO2 treatments, storage time and their interaction on quality parameters was tested by a multifactor ANOVA and LSD Multiple Range Test. High CO2 short-term treatment until 30% reduced respiration rate, browning index, preserving the total phenol content and antioxidant activity at the level of untreated samples. The application of CO2 concentration around 40% might cause a fermentative metabolism. VOC profile study was performed by HS-SPME/GC-MS analysis, identifying 99 compounds. The VOC peak areas were used for Principal Component Analysis, showing that CO2-10% was the best treatment to preserve the volatile profile of the fresh samples, characterized by terpenes, alcohols, esters, aldehydes, hydrocarbon and heterocyclic compounds, while CO2-40% resulted associated to fermentative compounds mainly esters. In conclusion, the exposure of fresh-cut artichokes for 48 h at 0 °C at CO2-10% might be a promising postharvest treatment useful to preserve their quality and volatile profile during storage at 5 °C for 7 days.

Published
2019

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