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98 results on '"Spinelli, Stefano"'

1. Goodbye Hartmann trial: a prospective, international, multicenter, observational study on the current use of a surgical procedure developed a century ago

Author

Perrone, Gennaro, Giuffrida, Mario, Abu-Zidan, Fikri, Kruger, Vitor F., Livrini, Marco, Petracca, Gabriele Luciano, Rossi, Giorgio, Tarasconi, Antonio, Tian, Brian W. C. A., Bonati, Elena, Mentz, Ricardo, Mazzini, Federico N., Campana, Juan P., Gasser, Elisabeth, Kafka-Ritsch, Reinhold, Felsenreich, Daniel M., Dawoud, Christopher, Riss, Stefan, Gomes, Carlos Augusto, Gomes, Felipe Couto, Gonzaga, Ricardo Alessandro Teixeira, Canton, Cassio Alfred Brattig, Pereira, Bruno Monteiro, Fraga, Gustavo P., Zem, Leticia Gonçalves, Cordeiro-Fonseca, Vinicius, de Mesquita Tauil, Renato, Atanasov, Boyko, Belev, Nikolay, Kovachev, Nikola, Meléndez, L. Juan José, Dimova, Ana, Dimov, Stefan, Zelić, Zdravko, Augustin, Goran, Bogdanić, Branko, Morić, Trpimir, Chouillard, Elie, Bajul, Melinda, De Simone, Belinda, Panis, Yves, Esposito, Francesco, Notarnicola, Margherita, Lauka, Lelde, Fabbri, Anna, Hentati, Hassen, Fnaiech, Iskander, Aurélien, Venara, Bougard, Marie, Roulet, Maxime, Demetrashvili, Zaza, Pipia, Irakli, Merabishvili, Giorgi, Bouliaris, Konstantinos, Koukoulis, Georgios, Doudakmanis, Christos, Xenaki, Sofia, Chrysos, Emmanuel, Kokkinakis, Stamatios, Vassiliu, Panteleimon, Michalopoulos, Nikolaos, Margaris, Ioannis, Kechagias, Aristotelis, Avgerinos, Konstantinos, Katunin, Jevgeni, Lostoridis, Eftychios, Nagorni, Eleni-Aikaterini, Pujante, Antonio, Mulita, Francesk, Maroulis, Ioannis, Vailas, Michail, Marinis, Athanasios, Siannis, Ioannis, Bourbouteli, Eirini, Manatakis, Dimitrios K., Tasis, Nikolaos, Acheimastos, Vasileios, Maria, Sotiropoulou, Stylianos, Kapiris, Kuzeridis, Harilaos, Korkolis, Dimitrios, Fradelos, Evangelos, Kavalieratos, George, Petropoulou, Thalia, Polydorou, Andreas, Papacostantinou, Ioannis, Triantafyllou, Tania, Kimpizi, Despina, Theodorou, Dimitrios, Toutouzas, Konstantinos, Chamzin, Alexandros, Frountzas, Maximos, Schizas, Dimitrios, Karavokyros, Ioannis, Syllaios, Athanasios, Charalabopoulos, Alexandros, Boura, Maria, Baili, Efstratia, Ioannidis, Orestis, Loutzidou, Lydia, Anestiadou, Elissavet, Tsouknidas, Ioannis, Petrakis, Georgios, Polenta, Eleni, Bains, Lovenish, Gupta, Rahul, Singh, Sudhir K., Khanduri, Archana, Bala, Miklosh, Kedar, Asaf, Pisano, Marcello, Podda, Mauro, Pisanu, Adolfo, Martines, Gennaro, Trigiante, Giuseppe, Lantone, Giuliano, Agrusa, Antonino, Di Buono, Giuseppe, Buscemi, Salvatore, Veroux, Massimiliano, Gioco, Rossella, Veroux, Gastone, Oragano, Luigi, Zonta, Sandro, Lovisetto, Federico, Feo, Carlo V., Pesce, Antonio, Fabbri, Nicolò, Lantone, Giulio, Marino, Fabio, Perrone, Fabrizio, Vincenti, Leonardo, Papagni, Vincenzo, Picciariello, Arcangelo, Rossi, Stefano, Picardi, Biagio, Del Monte, Simone Rossi, Visconti, Diego, Osella, Giulia, Petruzzelli, Luca, Pignata, Giusto, Andreuccetti, Jacopo, D’Alessio, Rossella, Buonfantino, Massimo, Guaitoli, Eleonora, Spinelli, Stefano, Sampietro, Gianluca Matteo, Corbellini, Carlo, Lorusso, Leonardo, Frontali, Alice, Pezzoli, Isabella, Bonomi, Alessandro, Chierici, Andrea, Cotsoglou, Christian, Manca, Giuseppe, Delvecchio, Antonella, Musa, Nicola, Casati, Massimiliano, Letizia, Laface, Abate, Emmanuele, Ercolani, Giorgio, D’Acapito, Fabrizio, Solaini, Leonardo, Guercioni, Gianluca, Cicconi, Simone, Sasia, Diego, Borghi, Felice, Giraudo, Giorgio, Sena, Giuseppe, Castaldo, Pasquale, Cardamone, Eugenia, Portale, Giuseppe, Zuin, Matteo, Spolverato, Ylenia, Esposito, Marialusia, Isernia, Roberta Maria, Di Salvo, Maria, Manunza, Romina, Esposito, Giuseppe, Agus, Marcello, Asti, Emanuele Luigi Giuseppe, Bernardi, Daniele Tiziano, Tonucci, Tommaso Panici, Luppi, Davide, Casadei, Massimiliano, Bonilauri, Stefano, Pezzolla, Angela, Panebianco, Annunziata, Laforgia, Rita, De Luca, Maurizio, Zese, Monica, Parini, Dario, Jovine, Elio, De Sario, Giuseppina, Lombardi, Raffaele, Aprea, Giovanni, Palomba, Giuseppe, Capuano, Marianna, Argenio, Giulio, Orio, Gianluca, Armellino, Mariano Fortunato, Troian, Marina, Guerra, Martina, Nagliati, Carlo, Biloslavo, Alan, Germani, Paola, Aizza, Giada, Monsellato, Igor, Chahrour, Ali Chaouki, Anania, Gabriele, Bombardini, Cristina, Bagolini, Francesco, Sganga, Gabriele, Fransvea, Pietro, Bianchi, Valentina, Boati, Paolo, Ferrara, Francesco, Palmieri, Francesco, Cianci, Pasquale, Gattulli, Domenico, Restini, Enrico, Cillara, Nicola, Cannavera, Alessandro, Nita, Gabriela Elisa, Sarnari, Jlenia, Roscio, Francesco, Clerici, Federico, Scandroglio, Ildo, Berti, Stefano, Cadeo, Alessandro, Filippelli, Alice, Conti, Luigi, Grassi, Carmine, Cattaneo, Gaetano Maria, Pighin, Marina, Papis, Davide, Gambino, Giovanni, Bertino, Vanessa, Schifano, Domenico, Prando, Daniela, Fogato, Luisella, Cavallo, Fabio, Ansaloni, Luca, Picheo, Roberto, Pontarolo, Nicholas, Depalma, Norma, Spampinato, Marcello, D’Ugo, Stefano, Lepre, Luca, Capponi, Michela Giulii, Campa, Rossella Domenica, Sarro, Giuliano, Dinuzzi, Vincenza Paola, Olmi, Stefano, Uccelli, Matteo, Ferrari, Davide, Inama, Marco, Moretto, Gianluigi, Fontana, Michele, Favi, Francesco, Picariello, Erika, Rampini, Alessia, Barberis, Andrea, Azzinnaro, Antonio, Oliva, Alba, Totaro, Luigi, Benzoni, Ilaria, Ranieri, Valerio, Capolupo, Gabriella Teresa, Carannante, Filippo, Caricato, Marco, Ronconi, Maurizio, Casiraghi, Silvia, Casole, Giovanni, Pantalone, Desire, Alemanno, Giovanni, Scheiterle, Maximilian, Ceresoli, Marco, Cereda, Marco, Fumagalli, Chiara, Zanzi, Federico, Bolzon, Stefano, Guerra, Enrico, Lecchi, Francesca, Cellerino, Paola, Ardito, Antonella, Scaramuzzo, Rosa, Balla, Andrea, Lepiane, Pasquale, Tartaglia, Nicola, Ambrosi, Antonio, Pavone, Giovanna, Palini, Gian Marco, Veneroni, Simone, Garulli, Gianluca, Ricci, Claudio, Torre, Beatrice, Russo, Iris Shari, Rottoli, Matteo, Tanzanu, Marta, Belvedere, Angela, Milone, Marco, Manigrasso, Michele, De Palma, Giovanni Domenico, Piccoli, Micaela, Pattacini, Gianmaria Casoni, Magnone, Stefano, Bertoli, Paolo, Pisano, Michele, Massucco, Paolo, Palisi, Marco, Luzzi, Andrea-Pierre, Fleres, Francesco, Clarizia, Guglielmo, Spolini, Alessandro, Kobe, Yoshiro, Toma, Takayuki, Shimamura, Fumihiko, Parker, Robert, Ranketi, Sinkeet, Mitei, Mercy, Svagzdys, Saulius, Pauzas, Henrikas, Zilinskas, Justas, Poskus, Tomas, Kryzauskas, Marius, Jakubauskas, Matas, Zakaria, Andee Dzulkarnaen, Zakaria, Zaidi, Wong, Michael Pak-Kai, Jusoh, Asri Che, Zakaria, Muhammad Nazreen, Cruz, Daniel Rios, Elizalde, Aurea Barbara Rodriguez, Reynaud, Alejandro Bañon, Hernandez, Edgard Efren Lozada, Monroy, Jose maria Victor Palomo, Hinojosa-Ugarte, Diego, Quiodettis, Martha, Du Bois, María Esther, Latorraca, José, Major, Piotr, Pędziwiatr, Michał, Pisarska-Adamczyk, Magdalena, Walędziak, Maciej, Kwiatkowski, Andrzej, Czyżykowski, Łukasz, da Costa, Silvia Dantas, Pereira, Bela, Ferreira, Ana Rita Oliveira, Almeida, Filipe, Rocha, Ricardo, Carneiro, Carla, Perez, Diego Pita, Carvas, João, Rocha, Catarina, Ferreira, Cátia, Marques, Rita, Fernandes, Urânia, Leao, Pedro, Goulart, André, Pereira, Rita Gonçalves, Patrocínio, Sara Daniela Direito, de Mendonça, Nuno Gonçalo Gonçalves, Manso, Maria Isabel Cerqueira, Morais, Henrique Manuel Cardoso, Cardoso, Paulo Sebastião, Calu, Valentin, Miron, Adrian, Toma, Elena Adelina, Gachabayov, Mahir, Abdullaev, Abakar, Litvin, Andrey, Nechay, Taras, Tyagunov, Alexander, Yuldashev, Anvar, Bradley, Alison, Wilson, Michael, Panyko, Arpád, Látečková, Zuzana, Lacko, Vladimír, Lesko, Dusan, Soltes, Marek, Radonak, Jozef, Turrado-Rodriguez, Victor, Termes-Serra, Roser, Morales-Sevillano, Xavier, Lapolla, Pierfrancesco, Mingoli, Andrea, Brachini, Gioia, Degiuli, Maurizio, Sofia, Silvia, Reddavid, Rossella, de Manzoni Garberini, Andrea, Buffone, Angelica, del Pozo, Eduardo Perea, Aparicio-Sánchez, Daniel, Dos Barbeito, Sandra, Estaire-Gómez, Mercedes, Vitón-Herrero, Rebeca, de los Ángeles Gil Olarte-Marquez, Mª, Gil-Martínez, José, Alconchel, Felipe, Nicolás-López, Tatiana, Rahy-Martin, Aida Cristina, Pelloni, María, Bañolas-Suarez, Raquel, Mendoza-Moreno, Fernando, Nisa, Francisca García-Moreno, Díez-Alonso, Manuel, Rodas, María Elisa Valle, Agundez, María Carmona, Andrés, María Inmaculada Pérez, Moreira, Claudia Cristina Lopes, Perez, Aintzane Lizarazu, Ponce, Iñigo Augusto, González-Castillo, Ana María, Membrilla-Fernández, Estela, Salvans, Silvia, Serradilla-Martín, Mario, Pardo, Pablo Sancho, Rivera-Alonso, Daniel, Dziakova, Jana, Huguet, Jose Mugüerza, Valle, Naila Pagès, Ruiz, Enrique Colás, Valcárcel, Cristina Rey, Moreno, Cristina Ruiz, Salazar, Yeniffer Tatiana Moreno, García, Juan Jesús Rubio, Micó, Silvia Sevila, López, Joaquín Ruiz, Farré, Silvia Pérez, Gomez, Maite Santamaria, Petit, Nuria Mestres, Titos-García, Alberto, Aranda-Narváez, Jose Manuel, Romacho-López, Laura, Sánchez-Guillén, Luis, Aranaz-Ostariz, Veronica, Bosch-Ramírez, Marina, Martínez-Pérez, Aleix, Martínez-López, Elías, Sebastián-Tomás, Juan Carlos, Jimenez-Riera, Granada, Jimenez-Vega, Javier, Cuellar, Jose Aurelio Navas, Campos-Serra, Andrea, Muñoz-Campaña, Anna, Gràcia-Roman, Raquel, Alegre, Javier Martínez, Pinto, Francisca Lima, O’Sullivan, Sara Nuñez, Antona, Francisco Blanco, Jiménez, Beatriz Muñoz, López-Sánchez, Jaime, Carmona, Zahira Gómez, Fernández, Rocio Torres, Sierra, Isabel Blesa, de León, Laura Román García, Moreno, Verónica Polaino, Iglesias, Eva, Cumplido, Paola Lora, Bravo, Altea Arango, Simó, Ignacio Rey, Domínguez, Carlota López, Caamaño, Aloia Guerreiro, Lozano, Rafael Calleja, Martínez, Manuel Durán, Torres, Álvaro Naranjo, de Quiros, Javier Tomas Morales Bernaldo, Pellino, Gianluca, Cloquell, Miriam Moratal, Moller, Elsa García, Jalal-Eldin, Sami, Abdoun, Ahmed K., Hamid, Hytham K. S., Lohsiriwat, Varut, Mongkhonsupphawan, Aitsariya, Baraket, Oussama, Ayed, Karim, Abbassi, Imed, Ali, Ali Ben, Ammar, Houssem, Kchaou, Ali, Tlili, Ahmed, Zribi, Imen, Colak, Elif, Polat, Suleyman, Koylu, Zehra Alan, Guner, Ali, Usta, Mehmet Arif, Reis, Murat Emre, Mantoglu, Baris, Gonullu, Emre, Akin, Emrah, Altintoprak, Fatih, Bayhan, Zulfu, Firat, Necattin, Isik, Arda, Memis, Ufuk, Bayrak, Mehmet, Altıntaş, Yasemin, Kara, Yasin, Bozkurt, Mehmet Abdussamet, Kocataş, Ali, Das, Koray, Seker, Ahmet, Ozer, Nazmi, Atici, Semra Demirli, Tuncer, Korhan, Kaya, Tayfun, Ozkan, Zeynep, Ilhan, Onur, Agackiran, Ibrahim, Uzunoglu, Mustafa Yener, Demirbas, Eren, Altinel, Yuksel, Meric, Serhat, Hacım, Nadir Adnan, Uymaz, Derya Salim, Omarov, Nail, Balık, Emre, Tebala, Giovanni D., Khalil, Hany, Rana, Mridul, Khan, Mansoor, Florence, Charlotte, Swaminathan, Christie, Leo, Cosimo Alex, Liasis, Lampros, Watfah, Josef, Trostchansky, Ivan, Delgado, Edward, Pontillo, Marcelo, Latifi, Rifat, Coimbra, Raul, Edwards, Sara, Lopez, Ana, Velmahos, George, Dorken, Ander, Gebran, Anthony, Palmer, Amanda, Oury, Jeffrey, Bardes, James M., Seng, Sirivan Suon, Coffua, Lauren S., Ratnasekera, Asanthi, Egodage, Tanya, Echeverria-Rosario, Karla, Armento, Isabella, Napolitano, Lena M., Sangji, Naveen F., Hemmila, Mark, Quick, Jacob A., Austin, Tyler R., Hyman, Theodore S., Curtiss, William, McClure, Amanda, Cairl, Nicholas, Biffl, Walter L., Truong, Hung P., Schaffer, Kathryn, Reames, Summer, Banchini, Filippo, Capelli, Patrizio, Coccolini, Federico, Sartelli, Massimo, Bravi, Francesca, Vallicelli, Carlo, Agnoletti, Vanni, Baiocchi, Gian Luca, and Catena, Fausto

Published
2024
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2. An optimal hierarchical control scheme for smart generation units: an application to combined steam and electricity generation

Author

Spinelli, Stefano, Farina, Marcello, and Ballarino, Andrea

Subjects
Mathematics - Optimization and Control, Electrical Engineering and Systems Science - Systems and Control
Abstract

Optimal management of thermal and energy grids with fluctuating demand and prices requires to orchestrate the generation units (GU) among all their operating modes. A hierarchical approach is proposed to control coupled energy nonlinear systems. The high level hybrid optimization defines the unit commitment, with the optimal transition strategy, and best production profiles. The low level dynamic model predictive control (MPC), receiving the set-points from the upper layer, safely governs the systems considering process constraints. To enhance the overall efficiency of the system, a method to optimal start-up the GU is here presented: a linear parameter varying MPC computes the optimal trajectory in closed-loop by iteratively linearising the system along the previous optimal solution. The introduction of an intermediate equilibrium state as additional decision variable permits the reduction of the optimization horizon,while a terminal cost term steers the system to the target set-point. Simulation results show the effectiveness of the proposed approach.

Published
2023
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3. A Hierarchical Architecture for Optimal Unit Commitment and Control of an Ensemble of Steam Generators

Author

Spinelli, Stefano, Farina, Marcello, and Ballarino, Andrea

Subjects
Electrical Engineering and Systems Science - Systems and Control
Abstract

A hierarchical architecture for the optimal management of an ensemble of steam generators is presented. The subsystems are coordinated by a multilayer scheme for jointly sustaining a common load. The high level optimizes the load allocation and the generator schedule, considering activation dynamics by a hybrid model. At the medium level, a robust tube-based model predictive control (MPC) tracks a time-varying demand using a centralized--but aggregate--model, whose order does not scale with the number of subsystems. A nonlinear optimization, at medium level, addresses MPC infeasibility due to abrupt changes of ensemble configuration. Low-level decentralized controllers stabilize the generators. This control scheme enables the dynamical modification of the ensemble configuration and plug and play operations. Simulations demonstrate the approach potentialities.

Published
2023
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4. Demand-side management via optimal production scheduling in power-intensive industries: The case of metal casting process

Author

Ramin, Danial, Spinelli, Stefano, and Brusaferri, Alessandro

Subjects
Mathematics - Optimization and Control, Electrical Engineering and Systems Science - Systems and Control
Abstract

The increasing challenges to the grid stability posed by the penetration of renewable energy resources urge a more active role for demand response programs as viable alternatives to a further expansion of peak power generators. This work presents a methodology to exploit the demand flexibility of energy-intensive industries under Demand-Side Management programs in the energy and reserve markets. To this end, we propose a novel scheduling model for a multi-stage multi-line process, which incorporates both the critical manufacturing constraints and the technical requirements imposed by the market. Using mixed integer programming approach, two optimization problems are formulated to sequentially minimize the cost in a day-ahead energy market and maximize the reserve provision when participating in the ancillary market. The effectiveness of day-ahead scheduling model has been verified for the case of a real metal casting plant in the Nordic market, where a significant reduction of energy cost is obtained. Furthermore, the reserve provision is shown to be a potential tool for capitalizing on the reserve market as a secondary revenue stream.

Published
2023
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5. Probabilistic electric load forecasting through Bayesian Mixture Density Networks

Author

Brusaferri, Alessandro, Matteucci, Matteo, Spinelli, Stefano, and Vitali, Andrea

Subjects
Electrical Engineering and Systems Science - Signal Processing, Computer Science - Machine Learning
Abstract

Probabilistic load forecasting (PLF) is a key component in the extended tool-chain required for efficient management of smart energy grids. Neural networks are widely considered to achieve improved prediction performances, supporting highly flexible mappings of complex relationships between the target and the conditioning variables set. However, obtaining comprehensive predictive uncertainties from such black-box models is still a challenging and unsolved problem. In this work, we propose a novel PLF approach, framed on Bayesian Mixture Density Networks. Both aleatoric and epistemic uncertainty sources are encompassed within the model predictions, inferring general conditional densities, depending on the input features, within an end-to-end training framework. To achieve reliable and computationally scalable estimators of the posterior distributions, both Mean Field variational inference and deep ensembles are integrated. Experiments have been performed on household short-term load forecasting tasks, showing the capability of the proposed method to achieve robust performances in different operating conditions., Comment: 56 pages

Published
2020

6. Estimation of Switched Markov Polynomial NARX models

Author

Brusaferri, Alessandro, Matteucci, Matteo, and Spinelli, Stefano

Subjects
Computer Science - Machine Learning, Statistics - Machine Learning
Abstract

This work targets the identification of a class of models for hybrid dynamical systems characterized by nonlinear autoregressive exogenous (NARX) components, with finite-dimensional polynomial expansions, and by a Markovian switching mechanism. The estimation of the model parameters is performed under a probabilistic framework via Expectation Maximization, including submodel coefficients, hidden state values and transition probabilities. Discrete mode classification and NARX regression tasks are disentangled within the iterations. Soft-labels are assigned to latent states on the trajectories by averaging over the state posteriors and updated using the parametrization obtained from the previous maximization phase. Then, NARXs parameters are repeatedly fitted by solving weighted regression subproblems through a cyclical coordinate descent approach with coordinate-wise minimization. Moreover, we investigate a two stage selection scheme, based on a l1-norm bridge estimation followed by hard-thresholding, to achieve parsimonious models through selection of the polynomial expansion. The proposed approach is demonstrated on a SMNARX problem composed by three nonlinear sub-models with specific regressors., Comment: 7 pages, 2 figures

Published
2020

7. Identification of Probability weighted ARX models with arbitrary domains

Author

Brusaferri, Alessandro, Matteucci, Matteo, and Spinelli, Stefano

Subjects
Computer Science - Machine Learning, Statistics - Machine Learning
Abstract

Hybrid system identification is a key tool to achieve reliable models of Cyber-Physical Systems from data. PieceWise Affine models guarantees universal approximation, local linearity and equivalence to other classes of hybrid system. Still, PWA identification is a challenging problem, requiring the concurrent solution of regression and classification tasks. In this work, we focus on the identification of PieceWise Auto Regressive with eXogenous input models with arbitrary regions (NPWARX), thus not restricted to polyhedral domains, and characterized by discontinuous maps. To this end, we propose a method based on a probabilistic mixture model, where the discrete state is represented through a multinomial distribution conditioned by the input regressors. The architecture is conceived following the Mixture of Expert concept, developed within the machine learning field. To achieve nonlinear partitioning, we parametrize the discriminant function using a neural network. Then, the parameters of both the ARX submodels and the classifier are concurrently estimated by maximizing the likelihood of the overall model using Expectation Maximization. The proposed method is demonstrated on a nonlinear piece-wise problem with discontinuous maps., Comment: 6 pages, 3 figures

Published
2020

8. A Hierarchical Architecture for the Coordination of an Ensemble of Steam Generators

Author

Spinelli, Stefano, Longoni, Elia, Farina, Marcello, Petzke, Felix, Streif, Stefan, and Ballarino, Andrea

Subjects
Electrical Engineering and Systems Science - Systems and Control
Abstract

This work presents a hierarchical architecture for the optimal management of an ensemble of steam generators, which needs to jointly sustain a common load. The coordination of independent subsystems is provided by a multi-layer control scheme. A high-level optimizer computes the optimal shares of production to be allocated to single generators. At medium level, a robust tube-based model predictive control (MPC) is proposed to track the time-varying demand of the ensemble using a centralized, but aggregated model, whose order does not scale with the number of subsystems. At low level, decentralized controllers are in place to stabilize the internal boiler pressure. The control architecture enables the dynamic modification of the ensemble configuration and plug and play operations. Simulation results are reported to demonstrate the potentialities of the proposed approach.

Published
2020

9. Long-term lung ultrasound follow-up in patients after COVID-19 pneumonia hospitalization: A prospective comparative study with chest computed tomography

Author

Spataro, Joanne, Malacarne, Margherita, Addante, Elisabetta, Agostini o Degl'Innocenti, Sabrina, De Carlo, Paolo, Gregori, Alessio, Manieri, Sara, Deri, Chiara, Perelli, Sara, Sabattini, Arianna, Salemi, Simonetta, Volpi, Federica, Colligiani, Leonardo, Claudio Fanni, Salvatore, Tavanti, Laura, Pancani, Roberta, Desideri, Massimiliano, Carpenè, Nicoletta, Gabbrielli, Luciano, Celi, Alessandro, Fideli, Antonio, Cappiello, Chiara, Meschi, Claudia, Visconti, Luca, Manfredini, Giovanna, Aquilini, Ferruccio, Barbieri, Greta, Gargani, Luna, Lepri, Vittoria, Spinelli, Stefano, Romei, Chiara, De Liperi, Annalisa, Chimera, Davide, Pistelli, Francesco, Carrozzi, Laura, Corradi, Francesco, and Ghiadoni, Lorenzo

Published
2023
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19. Prognostic Role of Sonographic Decongestion in Patients with Acute Heart Failure with Reduced and Preserved Ejection Fraction: A Multicentre Study

Author

Pugliese, Nicola R., primary, Mazzola, Matteo, additional, Bandini, Giulia, additional, Barbieri, Greta, additional, Spinelli, Stefano, additional, De Biase, Nicolò, additional, Masi, Stefano, additional, Moggi-Pignone, Alberto, additional, Ghiadoni, Lorenzo, additional, Taddei, Stefano, additional, Sicari, Rosa, additional, Pang, Peter S., additional, De Carlo, Marco, additional, and Gargani, Luna, additional

Published
2023
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20. Long-term lung ultrasound follow-up in patients after COVID-19 pneumonia hospitalization: A prospective comparative study with chest computed tomography

Author

Barbieri, Greta, primary, Gargani, Luna, additional, Lepri, Vittoria, additional, Spinelli, Stefano, additional, Romei, Chiara, additional, De Liperi, Annalisa, additional, Chimera, Davide, additional, Pistelli, Francesco, additional, Carrozzi, Laura, additional, Corradi, Francesco, additional, Ghiadoni, Lorenzo, additional, Spataro, Joanne, additional, Malacarne, Margherita, additional, Addante, Elisabetta, additional, Agostini o Degl'Innocenti, Sabrina, additional, De Carlo, Paolo, additional, Gregori, Alessio, additional, Manieri, Sara, additional, Deri, Chiara, additional, Perelli, Sara, additional, Sabattini, Arianna, additional, Salemi, Simonetta, additional, Volpi, Federica, additional, Colligiani, Leonardo, additional, Claudio Fanni, Salvatore, additional, Tavanti, Laura, additional, Pancani, Roberta, additional, Desideri, Massimiliano, additional, Carpenè, Nicoletta, additional, Gabbrielli, Luciano, additional, Celi, Alessandro, additional, Fideli, Antonio, additional, Cappiello, Chiara, additional, Meschi, Claudia, additional, Visconti, Luca, additional, Manfredini, Giovanna, additional, and Aquilini, Ferruccio, additional

Published
2022
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23. Cinema - painting: Antonioni, Turner, Rothko, de Chirico

Author

Spinelli, Stefano

Subjects
Other education not elsewhere classified
Abstract

"The aim of this thesis is to explore Antonioni's artistic process and the ways in which his visual vocabulary has been inspired by particular paintings of Turner, Rothko and de Chirico. Although Antonioni expressed himself through the medium of cinema, and these three artists were painters, their philosophical, visual and symbolic languages are strikingly similar. It is the purpose of this study to explore the very close connections between Antonioni's filmmaking and the artworks of these three painters." -- abstract.

Published
2022
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25. SARS-CoV-2 management in Emergency Department: risk stratification and care setting identification proposal based on first pandemic wave in Pisa University Hospital

Author

Barbieri, Greta, primary, Cipriano, Alessandro, additional, Carrara, Stella, additional, Spinelli, Stefano, additional, Cinotti, Francesco, additional, Foltran, Francesca, additional, Filippi, Matteo, additional, Aquilini, Ferruccio, additional, Tonerini, Michele, additional, Santini, Massimo, additional, Malacarne, Paolo, additional, and Ghiadoni, Lorenzo, additional

Published
2021
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27. Management principles in patients with COVID-19: perspectives from a growing global experience with emphasis on cardiovascular surveillance

Author

Veldtman, Gruschen R, primary, Pirisi, Mario, additional, Storti, Enrico, additional, Roomi, Asad, additional, Fadl-Elmula, Fadl Elmula M, additional, Vriz, Olga, additional, Bokhari, Sabahat, additional, Ammash, Naser, additional, Salam, Yezan, additional, Liu, Guang Zong, additional, Spinelli, Stefano, additional, Barbieri, Greta, additional, and Hashmi, Shahrukh, additional

Published
2020
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34. Fostering sustainable industrial consumption patterns by real-time energy-aware optimization

Author

Ramin, Danial, Spinelli, Stefano, and Brusaferri, Alessandro

Subjects
Real-time optimization, Supervision, Demand Response, Process Industry
Abstract

Energy intensive processes are promising candidates for demand response (DR), however production optimization is the major barrier for participation. In this paper, we present an energy-aware optimization system developed at SCADA level. A mixed-integer optimization is formulated over a receding horizon, including the plant model, predicted energy consumption and production constraints. The approach is demonstrated on a metal casting process for tracking the contracted day-ahead base-load.

Published
2019
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35. Lung Ultrasound to Predict COVID-19 Pneumonia: A Multicenter Descriptive Study

Author

Volpicelli, Giovanni, primary, Gargani, Luna, additional, Perlini, Stefano, additional, Spinelli, Stefano, additional, Barbieri, Greta, additional, Lanotte, Antonella, additional, Gonzalo García, Casasola, additional, Nogué Bou, Ramon, additional, Lamorte, Alessandro, additional, Agricola, Eustachio, additional, Villén, Tomas, additional, Deol, Paramjeet Singh, additional, Nazerian, Peiman, additional, Corradi, Francesco, additional, Stefanone, Valerio, additional, Fraga, Denise Nicole, additional, Navalesi, Paolo, additional, Ferre, Robinson, additional, Boero, Enrico, additional, Martinelli, Giampaolo, additional, Cristoni, Lorenzo, additional, Perani, Cristiano, additional, Vetrugno, Luigi, additional, McDermott, Cian, additional, Miralles Aguiar, Francisco, additional, Secco, Gianmarco, additional, Zattera, Caterina, additional, Salinaro, Francesco, additional, Grignaschi, Alice, additional, Boccatonda, Andrea, additional, Giostra, Fabrizio, additional, Nogué, Marta, additional, Covella, Michele, additional, Ingallina, Giacomo, additional, Burkert, Julia, additional, Frumento, Paolo, additional, Forfori, Francesco, additional, and Ghiadoni, Lorenzo, additional

Published
2020
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41. Lung ultrasound for the early diagnosis of COVID-19 pneumonia: an international multicenter study.

Author

Volpicelli, Giovanni, Gargani, Luna, Perlini, Stefano, Spinelli, Stefano, Barbieri, Greta, Lanotte, Antonella, Casasola, Gonzalo García, Nogué-Bou, Ramon, Lamorte, Alessandro, Agricola, Eustachio, Villén, Tomas, Deol, Paramjeet Singh, Nazerian, Peiman, Corradi, Francesco, Stefanone, Valerio, Fraga, Denise Nicole, Navalesi, Paolo, Ferre, Robinson, Boero, Enrico, and Martinelli, Giampaolo

Subjects
ULTRASONIC imaging, COVID-19 testing, EARLY diagnosis, COVID-19, LUNGS
Abstract

Purpose: To analyze the application of a lung ultrasound (LUS)-based diagnostic approach to patients suspected of COVID-19, combining the LUS likelihood of COVID-19 pneumonia with patient's symptoms and clinical history.Methods: This is an international multicenter observational study in 20 US and European hospitals. Patients suspected of COVID-19 were tested with reverse transcription-polymerase chain reaction (RT-PCR) swab test and had an LUS examination. We identified three clinical phenotypes based on pre-existing chronic diseases (mixed phenotype), and on the presence (severe phenotype) or absence (mild phenotype) of signs and/or symptoms of respiratory failure at presentation. We defined the LUS likelihood of COVID-19 pneumonia according to four different patterns: high (HighLUS), intermediate (IntLUS), alternative (AltLUS), and low (LowLUS) probability. The combination of patterns and phenotypes with RT-PCR results was described and analyzed.Results: We studied 1462 patients, classified in mild (n = 400), severe (n = 727), and mixed (n = 335) phenotypes. HighLUS and IntLUS showed an overall sensitivity of 90.2% (95% CI 88.23-91.97%) in identifying patients with positive RT-PCR, with higher values in the mixed (94.7%) and severe phenotype (97.1%), and even higher in those patients with objective respiratory failure (99.3%). The HighLUS showed a specificity of 88.8% (CI 85.55-91.65%) that was higher in the mild phenotype (94.4%; CI 90.0-97.0%). At multivariate analysis, the HighLUS was a strong independent predictor of RT-PCR positivity (odds ratio 4.2, confidence interval 2.6-6.7, p < 0.0001).Conclusion: Combining LUS patterns of probability with clinical phenotypes at presentation can rapidly identify those patients with or without COVID-19 pneumonia at bedside. This approach could support and expedite patients' management during a pandemic surge. [ABSTRACT FROM AUTHOR]

Published
2021
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45. Rainbow for Africa Field Hospital

Author

Pigozzi, Luca, primary, Spinelli, Stefano, additional, Franchi, Eloisa, additional, Giletta, Gaia, additional, Barbero, Francesco, additional, Yan, Xiaowei, additional, Bariona, Marioluca, additional, and Narcisi, Paolo, additional

Published
2017
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46. Melt.Brain Functionalities

Author

Spinelli Stefano, Brusaferri Alessandro, and Ballarino Andrea

Subjects
Melt.Brain, Functionalities, GeneralLiterature_MISCELLANEOUS
Abstract

The document describes the functionalities of Melt.Brain. After giving an overview of the system, the report describes the software and the interfaces from the user point of view. It provides also a guide to operate with the Melt.Brain system

Published
2015

47. Energy Savings: a statistical analysis

Author

Spinelli Stefano, Brusaferri Alessandro, and Ballarino Andrea

Subjects
Melt.Brain, Statistical analysis, GeneralLiterature_MISCELLANEOUS
Abstract

The technical document reports the statistical analysis performed on the experimental data acquired during the demontration & validation campaign of Melt.Brain on the end-user melting furnaces. The statistical analysis also on historical data highlighted the results of the demonstration activity, as well as the possible further extension of the innovation in order to achieve even better performance.

Published
2015

48. Factory-ECOMATION Furnace Control

Author

Spinelli Stefano

Subjects
Furnace Control
Abstract

The technical report is addressed to the end-user of the project: it states the objectives of the innovation and it describes in great detail the activities and the status of the furnace control system. The functionalities implemented in the software are reported, as well as the required improvements and the next steps.

Published
2014

49. Furnace Connection Specification

Author

Spinelli Stefano and Brusaferri Alessandro

Subjects
Melt.Brain, Connection Specification
Abstract

This technical report describes the Melt.Brain system architecture and it focuses on the specifications for connecting the Melt.Brain control system, developed within the European project Factory-ECOMATION, to the end-user induction furnaces.

Published
2014

50. Identification of Furnace Model

Author

Spinelli Stefano

Subjects
Furnace Model Indentification
Abstract

Internal Notes describing the procedures for the identification of the different sub-models for medium frequency induction furnaces. In order to reconstruct the energy model of the Inductotherm induction furnaces, from one year of historical data, several sub models were identified, each one representing a different source of energy dissipation.

Published
2014

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