Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Mario Catalano"'
Autor:
Caterina Monari, Caterina Sagnelli, Paolo Maggi, Vincenzo Sangiovanni, Fabio Giuliano Numis, Ivan Gentile, Alfonso Masullo, Carolina Rescigno, Giosuele Calabria, Angelo Salomone Megna, Michele Gambardella, Elio Manzillo, Grazia Russo, Vincenzo Esposito, Clarissa Camaioni, Vincenzo Messina, Mariantonietta Pisaturo, Enrico Allegorico, Biagio Pinchera, Raffaella Pisapia, Mario Catalano, Angela Salzillo, Giovanni Porta, Giuseppe Signoriello, Nicola Coppola
Publikováno v:
Frontiers in Oncology, Vol 11 (2021)
BackgroundThe aim of the study was to compare coronavirus disease 2019 (COVID-19) severity presentation between oncologic and non-oncologic patients and to evaluate the impact of cancer type and stage on COVID-19 course.MethodsWe performed a multicen
Externí odkaz:
https://doaj.org/article/f49f7c098c7a48d6aa0a04f6c5cba989
Publikováno v:
Promet (Zagreb), Vol 27, Iss 1, Pp 1-11 (2015)
The aim of this research is to find a solution for the standardization of road signs in the EU zone by a comparative analysis of different national sign systems to establish a common set from a single country. This work is based on the idea that road
Externí odkaz:
https://doaj.org/article/ae2caaec6e5c443880ba5aac26cc7ef2
Autor:
Maria Infantino, Mariangela Manfredi, Lorenzo Stacchini, Claudia Cosma, Valentina Grossi, Barbara Lari, Edda Russo, Amedeo Amedei, Maurizio Benucci, Francesca Veneziani, Patrizia Casprini, Cateno Mario Catalano, Giuseppe Cirrincione, Guglielmo Bonaccorsi, Adolfo Pompetti
Publikováno v:
Clinical Chemistry and Laboratory Medicine (CCLM). 60:934-940
Objectives Evaluating anti-SARS-CoV-2 antibody levels is a current priority to drive immunization, as well as to predict when a vaccine booster dose may be required and for which priority groups. The aim of our study was to investigate the kinetics o
Autor:
Mario Catalano, Alessandro Chiurco, Caterina Fusto, Lucia Gazzaneo, Francesco Longo, Giovanni Mirabelli, Letizia Nicoletti, Vittorio Solina, Simone Talarico
Publikováno v:
Procedia Computer Science. 200:1885-1893
Publikováno v:
IET Intelligent Transport Systems. 14:1573-1581
This study illustrates the early results of on-going research started under a recent project sponsored by the United Kingdom Government Transport Department to investigate the principal factors influencing road accidents as well as develop an interne
Autor:
Paolo Maggi, Caterina Sagnelli, Angelo Salomone Megna, Alfonso Masullo, Mario Catalano, Elio Manzillo, Giovanni Porta, Mariantonietta Pisaturo, Vincenzo Sangiovanni, Vincenzo Esposito, Enrico Allegorico, Raffaella Pisapia, Carolina Rescigno, Vincenzo Messina, Michele Gambardella, Caterina Monari, Clarissa Camaioni, Giuseppe Signoriello, Fabio Giuliano Numis, Giosuele Calabria, Angela Salzillo, Ivan Gentile, Grazia Russo, Nicola Coppola, Biagio Pinchera
Publikováno v:
Frontiers in Oncology, Vol 11 (2021)
Frontiers in Oncology
Frontiers in Oncology
BackgroundThe aim of the study was to compare coronavirus disease 2019 (COVID-19) severity presentation between oncologic and non-oncologic patients and to evaluate the impact of cancer type and stage on COVID-19 course.MethodsWe performed a multicen
Publikováno v:
Air Transport and Regional Development Methodologies
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b2948f48cdbfe4163a5d061072c1093f
https://doi.org/10.4324/9780429021855-11
https://doi.org/10.4324/9780429021855-11
Publikováno v:
IET Intelligent Transport Systems. 12:1131-1141
This study presents an innovative set of models for accident prediction which are at the core of a web-based platform for road safety simulation and predictions. Specifically, insights into road hazard prediction are given comparing the latest develo
Lo studio descritto in questa nota riguarda la fattibilità di servizi di trasporto passeggeri basati sull'utilizzo del mezzo elicotteristico, su scala regionale
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3658::3801aa8ed25047cbe828007eef8cd9aa
http://hdl.handle.net/10447/345931
http://hdl.handle.net/10447/345931
Autor:
Mario Catalano, Fabio Galatioto
Publikováno v:
Transportation Research Part D: Transport and Environment. 55:262-276
This research proposes a novel approach to improve the ability to forecast low frequency extreme events of transport-related pollution in urban areas using a limited input data set. The approach is based on the idea of a self-managing model, able to