Comparison of 'IN-REC-SUR-E' and LISA in preterm neonates with respiratory distress syndrome: a randomized controlled trial (IN-REC-LISA trial)

Autor: Giovanni Vento, Angela Paladini, C. Aurilia, S. Alkan Ozdemir, V. P. Carnielli, F. Cools, S. Costa, F. Cota, C. Dani, P. G. Davis, S. Fattore, C. Fè, N. Finer, F. P. Fusco, C. Gizzi, E. Herting, M. Jian, A. Lio, G. Lista, F. Mosca, S. Nobile, A. Perri, S. Picone, J. J. Pillow, G. Polglase, T. Pasciuto, R. Pastorino, M. Tana, D. Tingay, C. Tirone, A. H. van Kaam, M. L. Ventura, A. Aceti, M. Agosti, G. Alighieri, G. Ancora, V. Angileri, G. Ausanio, S. Aversa, E. Balestri, E. Baraldi, M. C. Barbini, C. Barone, R. Beghini, C. Bellan, A. Berardi, I. Bernardo, P. Betta, M. Binotti, B. Bizzarri, G. Borgarello, S. Borgione, A. Borrelli, R. Bottino, G. Bracaglia, I. Bresesti, I. Burattini, C. Cacace, F. Calzolari, M. F. Campagnoli, L. Capasso, M. Capozza, M. G. Capretti, J. Caravetta, C. Carbonara, V. Cardilli, M. Carta, F. Castoldi, A. Castronovo, E. Cavalleri, F. Cavigioli, S. Cecchi, V. Chierici, C. Cimino, F. Cocca, C. Cocca, P. Cogo, M. Coma, V. Comito, V. Condò, C. Consigli, R. Conti, M. Corradi, G. Corsello, L. T. Corvaglia, A. Costa, A. Coscia, F. Cresi, F. Crispino, P. D’Amico, L. De Cosmo, C. De Maio, G. Del Campo, S. Di Credico, S. Di Fabio, P. Di Nicola, A. Di Paolo, S. Di Valerio, A. Distilo, V. Duca, A. Falcone, R. Falsaperla, V. A. Fasolato, V. Fatuzzo, F. Favini, M. P. Ferrarello, S. Ferrari, F. Fiori Nastro, C. A. Forcellini, A. Fracchiolla, A. Gabriele, F. Galdo, F. Gallini, A. Gangemi, G. Gargano, D. Gazzolo, M. P. Gentile, S. Ghirardello, F. Giardina, L. Giordano, E. Gitto, M. Giuffrè, L. Grappone, F. Grasso, I. Greco, A. Grison, R. Guglielmino, I. Guidotti, I. Guzzo, N. La Forgia, S. La Placa, G. La Torre, P. Lago, L. Lanciotti, A. Lavizzari, F. Leo, V. Leonardi, D. Lestingi, J. Li, P. Liberatore, D. Lodin, R. Lubrano, M. Lucente, S. Luciani, D. Luvarà, G. Maffei, A. Maggio, L. Maggio, K. Maiolo, L. Malaigia, G. Mangili, A. Manna, E. Maranella, A. Marciano, P. Marcozzi, M. Marletta, L. Marseglia, D. Martinelli, S. Martinelli, S. Massari, L. Massenzi, F. Matina, L. Mattia, G. Mescoli, I. V. Migliore, D. Minghetti, I. Mondello, S. Montano, G. Morandi, N. Mores, S. Morreale, I. Morselli, M. Motta, M. Napolitano, D. Nardo, A. Nicolardi, S. Nider, G. Nigro, M. Nuccio, L. Orfeo, C. Ottaviano, P. Paganin, S. Palamides, S. Palatta, P. Paolillo, M. G. Pappalardo, E. Pasta, L. Patti, G. Paviotti, R. Perniola, G. Perotti, S. Perrone, F. Petrillo, M. S. Piazza, A. Piccirillo, M. Pierro, E. Piga, G. A. Pingitore, S. Pisu, C. Pittini, F. Pontiggia, G. Pontrelli, A. Primavera, A. Proto, L. Quartulli, F. Raimondi, L. Ramenghi, M. Rapsomaniki, A. Ricotti, C. Rigotti, M. Rinaldi, F. M. Risso, E. Roma, E. Romanini, V. Romano, E. Rosati, V. Rosella, I. Rulli, V. Salvo, C. Sanfilippo, A. Sannia, A. Saporito, A. Sauna, E. Scapillati, F. Schettini, A. Scorrano, S. Semeria Mantelli, V. Sepporta, P. Sindico, A. Solinas, E. Sorrentino, E. Spaggiari, A. Staffler, M. Stella, D. Termini, G. Terrin, A. Testa, G. Tina, M. Tirantello, B. Tomasini, F. Tormena, L. Travan, D. Trevisanuto, G. Tuling, V. Tulino, L. Valenzano, S. Vedovato, S. Vendramin, P. E. Villani, S. Viola, V. Viola, G. Vitaliti, M. Vitaliti, P. Wanker, Y. Yang, S. Zanetta, E. Zannin

Publikováno v: Trials, Vol 25, Iss 1, Pp 1-18 (2024)

Abstract Background Surfactant is a well-established therapy for preterm neonates affected by respiratory distress syndrome (RDS). The goals of different methods of surfactant administration are to reduce the duration of mechanical ventilation and th

Externí odkaz: https://doaj.org/article/6d25d8972ebb4da7aceccdf7e22b30d8

Learning Two-agent Motion Planning Strategies from Generalized Nash Equilibrium for Model Predictive Control

Autor: Kim, Hansung, Zhu, Edward L., Lim, Chang Seok, Borrelli, Francesco

We introduce an Implicit Game-Theoretic MPC (IGT-MPC), a decentralized algorithm for two-agent motion planning that uses a learned value function that predicts the game-theoretic interaction outcomes as the terminal cost-to-go function in a model pre

Externí odkaz: http://arxiv.org/abs/2411.13983

Nonadiabatic Quantum Dynamics of Molecules Scattering from Metal Surfaces

Autor: Preston, Riley J., Ke, Yaling, Rudge, Samuel L., Hertl, Nils, Borrelli, Raffaele, Maurer, Reinhard J., Thoss, Michael

Nonadiabatic coupling between electrons and molecular motion at metal surfaces leads to energy dissipation and dynamical steering effects during chemical surface dynamics. We present a theoretical approach to the scattering of molecules from metal su

Externí odkaz: http://arxiv.org/abs/2410.05142

Practical techniques for high precision measurements on near-term quantum hardware: a Case Study in Molecular Energy Estimation

Autor: Korhonen, Keijo, Vappula, Hetta, Glos, Adam, Cattaneo, Marco, Zimborás, Zoltán, Borrelli, Elsi-Mari, Rossi, Matteo A. C., García-Pérez, Guillermo, Cavalcanti, Daniel

Achieving high-precision measurements on near-term quantum devices is critical for advancing quantum computing applications. In this paper, we explore several practical techniques to enhance measurement accuracy using randomized measurements, focusin

Externí odkaz: http://arxiv.org/abs/2409.02575

Data-Driven Multi-Modal Learning Model Predictive Control

Autor: Kopp, Fionna B., Borrelli, Francesco

We present a Learning Model Predictive Controller (LMPC) for multi-modal systems performing iterative control tasks. Assuming availability of historical data, our goal is to design a data-driven control policy for the multi-modal system where the cur

Externí odkaz: http://arxiv.org/abs/2407.06313