Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Marco Montini"'
Autor:
William Ferretto, Igor Matteo Carraretto, Andrea Tiozzo, Marco Montini, Luigi Pietro Maria Colombo
Publikováno v:
Fluids, Vol 8, Iss 3, p 89 (2023)
Water accumulation is a major problem in the flow assurance of gas pipelines. To limit liquid loading issues, deliquification by means of surfactant injection is a promising alternative to the consolidated mechanical methods. However, the macroscopic
Externí odkaz:
https://doaj.org/article/62a4017d414d42abbd75c87e2aa17b38
Publikováno v:
Energies, Vol 15, Iss 23, p 9138 (2022)
The aim of this study is to develop a model for a proprietary SO2 removal technology by using machine learning techniques and, more specifically, by exploiting the potentialities of artificial neural networks (ANNs). This technology is employed at th
Externí odkaz:
https://doaj.org/article/e3dc0fa1c2244c8090988fb374d2bf13
Schwann cell insulin-like growth factor receptor type-1 mediates metastatic bone cancer pain in mice
Autor:
Lorenzo Landini, Matilde Marini, Daniel Souza Monteiro de Araujo, Antonia Romitelli, Marco Montini, Valentina Albanese, Mustafa Titiz, Alessandro Innocenti, Francesca Bianchini, Pierangelo Geppetti, Romina Nassini, Francesco De Logu
Publikováno v:
Brain, Behavior, and Immunity. 110:348-364
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::57effa2e6bfa7d566c10af2b1db7625b
https://doi.org/10.1016/j.bbi.2023.03.013
https://doi.org/10.1016/j.bbi.2023.03.013
Autor:
Luca Cadei, Gianmarco Rossi, Lorenzo Lancia, Danilo Loffreno, Andrea Corneo, Diletta Milana, Marco Montini, Elisabetta Purlalli, Piero Fier, Francesco Carducci, Riccardo Nizzolo
Publikováno v:
Day 3 Wed, March 23, 2022.
This paper reports the development and tests of an advance methodologies to predict Upstream plant risky events, such as flaring, applying an integrated framework. The core idea is to exploit Machine Learning and big data analytics techniques to tack
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fe1134b8f6554cc49b8dc4f0c442ea57
https://doi.org/10.2118/200110-ms
https://doi.org/10.2118/200110-ms
Autor:
Luca Cadei, Gianmarco Rossi, Lorenzo Lancia, Danilo Loffreno, Andrea Corneo, Diletta Milana, Marco Montini, Elisabetta Purlalli, Piero Fier, Francesco Carducci, Riccardo Nizzolo
Publikováno v:
Day 3 Wed, March 23, 2022.
Energy companies are latecomers to digitization with respect to other business, but new technologies like Big Data, Cloud infrastructure and Artificial Intelligence offer great opportunities. Here we present an integrated approach to the digitalizati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::321353913b0ae95af61b830bd53ea6f4
https://doi.org/10.2118/200149-ms
https://doi.org/10.2118/200149-ms
Autor:
Francesco De Logu, Roberto Maglie, Mustafa Titiz, Giulio Poli, Lorenzo Landini, Matilde Marini, Daniel Souza Monteiro de Araujo, Gaetano De Siena, Marco Montini, Daniela Almeida Cabrini, Michel Fleith Otuki, Priscila Lúcia Pawloski, Emiliano Antiga, Tiziano Tuccinardi, João Batista Calixto, Pierangelo Geppetti, Romina Nassini, Eunice André
Publikováno v:
The Journal of investigative dermatology. 143(1)
Growing evidence indicates that transient receptor potential (TRP) channels contribute to different forms of pruritus. However, the endogenous mediators that cause itch through transient receptor potential channels signaling are poorly understood. In
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fa02d9c3e83a86ee45723be091fec6da
https://pubmed.ncbi.nlm.nih.gov/36049541
https://pubmed.ncbi.nlm.nih.gov/36049541
Autor:
Marco Montini, Jacopo Rocchi
Publikováno v:
Journal of Strength and Conditioning Research. 36:2566-2572
Montini, M and Rocchi, JE. Monitoring training load in soccer: The Relation of Ongoing Monitored Exercise in Individual model. J Strength Cond Res 12XX(2X): 000-000, 2016. For a training organization, monitoring training load (TL) is of paramount imp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c36431696bc5c019c9aaab4d15dcfa34
https://doi.org/10.1519/jsc.0000000000003875
https://doi.org/10.1519/jsc.0000000000003875
Publikováno v:
Day 4 Thu, November 18, 2021.
In the Oil & Gas sector, the production optimization is one of the most challenging problem, since it involves many operational variables linked by complex relationships. Moreover, during the asset life cycle those parameters could change. Conflicts
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::14a4e628c98ce07a4363bee401f9205d
https://doi.org/10.2118/207570-ms
https://doi.org/10.2118/207570-ms
Publikováno v:
Day 1 Mon, November 15, 2021.
Hydrates formation in subsea pipelines is one of the main reliability concerns for flow assurance engineers. A fast and reliable assessment of the Cool-Down Time (CDT), the period between a shut-down event and possible hydrates formation in the asset
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b0f3b53c101a8cea435a77dfba404f2e
https://doi.org/10.2118/208219-ms
https://doi.org/10.2118/208219-ms
Autor:
Fabrizio Ursini, Simone Andrea Frau, Matteo Trevisan, Luigi Romice, Francesco D'Addato, Marco Montini, Emanuele Vignati, Sergio Furlani
Publikováno v:
Day 1 Tue, September 21, 2021.
The Integration of real-time high frequency data in well models allows to infer useful information regarding well and field performance. Virtual Metering (VM) algorithms aim at providing real time well rates solving an inverse problem based on flow e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ec9651cba7998035c10243a79924fae7
https://doi.org/10.2118/206295-ms
https://doi.org/10.2118/206295-ms