Zobrazeno 1 - 10
of 23 025
pro vyhledávání: '"Bartolomeo"'
Publikováno v:
Ceramics, Vol 7, Iss 2, Pp 807-820 (2024)
Mullite substrates with two different porosities were 3D printed, and tested as humidity sensors. To evaluate the effects of porosity on humidity sensitivity, the samples were sintered at 1400 °C (Sensor 1) and 1450 °C (Sensor 2). The sensors were
Externí odkaz:
https://doaj.org/article/5bdf993af66343649c37f6c5555d0480
Publikováno v:
Frontiers in Plant Science, Vol 15 (2024)
IntroductionActinidia is highly susceptible to water stress, both excess and shortage, and is therefore a model fruit crop for irrigation management, requiring precise water application. The present study was carried out in a mature kiwifruit orchard
Externí odkaz:
https://doaj.org/article/9df6256c01e542e790ec4f33f7d2693d
Autor:
Mario Ceddia, Bartolomeo Trentadue
Publikováno v:
AIMS Materials Science, Vol 11, Iss 3, Pp 449-462 (2024)
Arthroplasty is generally used to treat advanced osteoarthritis or other degenerative joint diseases. However, it can also be considered in younger patients with severe joint damage that seriously limits their function and quality of life. Young pati
Externí odkaz:
https://doaj.org/article/cba0af42eb7546749a120c84ad3604b2
Autor:
Daniele Marra, Adriano Acunzo, Andrea Fulgione, Maria De Luca, Reynaldo Villalonga, Francesco Pisani, Loredana Biondi, Federico Capuano, Raffaele Velotta, Bartolomeo Della Ventura, Vincenzo Iannotti
Publikováno v:
Biosensors and Bioelectronics: X, Vol 21, Iss , Pp 100545- (2024)
Monitoring gluten levels in foods labelled as gluten-free or low-gluten — i.e. containing less than 20 ppm and 100 ppm of gluten, respectively — is crucial for preventing celiac disease-related disorders. Due to their inherent complexity, the sta
Externí odkaz:
https://doaj.org/article/f3ea73f051304d0797f38b7749cceb49
Autor:
Maria De Luca, Adriano Acunzo, Daniele Marra, Margherita Borriello, Diego Ingrosso, Raffaele Velotta, Vincenzo Iannotti, Bartolomeo Della Ventura
Publikováno v:
Advanced Sensor Research, Vol 3, Iss 8, Pp n/a-n/a (2024)
Abstract Magneto‐plasmonic particles, comprising gold and iron oxide, exhibit substantial potential for biosensing applications due to their distinct properties. Gold nanoparticles (AuNPs) provide plasmonic features, while iron oxide composites, re
Externí odkaz:
https://doaj.org/article/9dca345d0daf49aea7d84349f22eaa21
Autor:
Bartolomeo Lorenzati, Sara Abram, Jacopo Davide Giamello, Alice Bruno, Luigi Gambardella, Davide Lison, Salvatore D'Agnano, Gianpiero Martini, Andrea Sciolla, Giuseppe Lauria
Publikováno v:
Emergency Care Journal (2024)
Procedural Sedation and Analgesia (PSA) is a routine practice in Emergency Departments (EDs) but few data exist in the setting of Italian ED. Thus, this study aimed to describe for the first time an Italian experience of PSA in the ED, defining usual
Externí odkaz:
https://doaj.org/article/f24d715c020a4df0bfc43850fed9d943
Publikováno v:
Chemical Engineering Transactions, Vol 109 (2024)
b Dipartimento di Ingegneria Industriale (DIIn), Università degli Studi di Salerno, via Giovanni Paolo II 132, 84084 Fisciano (SA), Italy, michele.miccio@unisa.itc Università degli Studi di Palermo, Italyignazio.sammarco@you.unipa.itMicroalgae play
Externí odkaz:
https://doaj.org/article/ecdd689c37d549b68efb023acbfade46
Publikováno v:
Chemical Engineering Transactions, Vol 109 (2024)
b Dipartimento di Ingegneria Industriale (DIIn), Università degli Studi di Salerno, via Giovanni Paolo II 132, 84084 Fisciano (SA), Italy, michele.miccio@unisa.itThis work proposes, through simulations in the Matlab/Simulink software environment, a
Externí odkaz:
https://doaj.org/article/9cf851090c0748cc9590957b8f602930
Publikováno v:
Chemical Engineering Transactions, Vol 109 (2024)
b Independent Researcher angelo.siragusa@gmail.comc Innovation Manager c/o ANOVA Studi, g.mappa@anovastudi.comd Dipartimento di Ingegneria Industriale (DIIn), Università degli Studi di Salerno, via Giovanni Paolo II 132, 84084 Fisciano (SA), Italy,
Externí odkaz:
https://doaj.org/article/3cf4d6c4b96442e1be2db57c82668fba
Autor:
Davide Ciucci, Bartolomeo Cassano, Salvatore Donatiello, Federica Martire, Antonio Napolitano, Claudia Polito, Elena Solfaroli Camillocci, Gianluca Cervino, Ludovica Pungitore, Claudio Altini, Maria Felicia Villani, Milena Pizzoferro, Maria Carmen Garganese, Vittorio Cannatà
Publikováno v:
EJNMMI Physics, Vol 11, Iss 1, Pp 1-13 (2024)
Abstract Background In literature are reported different analytical methods (AM) to choose the proper fit model and to fit data of the time-activity curve (TAC). On the other hand, Machine Learning algorithms (ML) are increasingly used for both class
Externí odkaz:
https://doaj.org/article/93f216d0e3c048ceb0d3c0d2dd8cb9c7