Zobrazeno 1 - 10
of 3 979
pro vyhledávání: '"d'Angelo S"'
Publikováno v:
ImmunoTargets and Therapy, Vol Volume 10, Pp 141-153 (2021)
Fabiola Atzeni,1 Antonio Carriero,2,3 Laura Boccassini,4 Salvatore D’Angelo2 1Rheumatology Unit, Department of Clinical and Experimental Medicine, University of Messina, Messina, Italy; 2Rheumatology Institute of Lucania (IReL), Rheumatology Depart
Externí odkaz:
https://doaj.org/article/67e6d1566e2c4f7288564bc868ab3b6e
Publikováno v:
Therapeutics and Clinical Risk Management, Vol Volume 14, Pp 1053-1059 (2018)
Francesco Ursini,1,2 Emilio Russo,1 Roberto De Giorgio,3 Giovambattista De Sarro,1 Salvatore D’Angelo4,5 1Department of Health Sciences, University of Catanzaro “Magna Graecia”, Catanzaro, Italy; 2Associazione Calabrese per la Ricerca in Reumat
Externí odkaz:
https://doaj.org/article/c7cd63f39efa44659f1977ee0de94078
Publikováno v:
Open Access Rheumatology: Research and Reviews, Vol Volume 9, Pp 21-28 (2017)
Salvatore D’Angelo,1 Giuseppina Tramontano,1 Michele Gilio,1 Pietro Leccese,1 Ignazio Olivieri1,2 1Rheumatology Institute of Lucania (IRel) - Rheumatology Department of Lucania, San Carlo Hospital of Potenza and Madonna delle Grazie Hospital of Mat
Externí odkaz:
https://doaj.org/article/2f583fd1e7ab4b059234f1b123310e4a
Publikováno v:
February 23, 2023, Vol. 7, pp. 1816-1829
The objective of this study is to determine Education in the Digital World from the lens of millennial learners. This also identifies the cybergogical implications of the issue with digital education as seen through the lens of the outlier. This stud
Externí odkaz:
http://arxiv.org/abs/2304.13930
Publikováno v:
International Journal of Computing Sciences Research (ISSN print: 2546-0552; ISSN online: 2546-115X) Vol. 7, pp. 2052-2065
The study aimed to evaluate the regression models' performance in predicting the cost of medical insurance. The Three (3) Regression Models in Machine Learning namely Linear Regression, Gradient Boosting, and Support Vector Machine were used. The per
Externí odkaz:
http://arxiv.org/abs/2304.12605
Autor:
Tallini, Luciana R., Machado das Neves, Gustavo, Vendruscolo, Maria Helena, Rezende-Teixeira, Paula, Borges, Warley, Bastida, Jaume, Costa-Lotufo, Letícia V., Eifler-Lima, Vera Lucia, Zuanazzi, José Angelo S.
Publikováno v:
In Journal of Ethnopharmacology 15 July 2024 329
Autor:
Bernabei R., Belli P., Cappella F., Caracciolo V., Cerulli R., Dai C.J., d'Angelo A., d'Angelo S., Marco A. Di, He H.L., Incicchitti A., Kuang H.H., Ma X.H., Montecchia F., Sheng X.D., Wang R.G., Ye Z.P.
Publikováno v:
EPJ Web of Conferences, Vol 121, p 06005 (2016)
The DAMA/LIBRA experiment (∼ 250 kg of highly radio-pure NaI(Tl)) is running deep underground at the Gran Sasso National Laboratory (LNGS) of the I.N.F.N. Here we briefly recall the results obtained in its first phase of measurements (DAMA/LIBRA–
Externí odkaz:
https://doaj.org/article/676c083adee8443bbc001634a4fd9956
Autor:
Bernabei R., Belli P., d’Angelo A., d’Angelo S., Di Marco A., Montecchia F., Incicchitti A., Cappella F., Caracciolo V., Cerulli R., Dai C.J., He H.L., Kuang H.H., Ma X.H., Sheng X.D., Wang R.G., Ye Z.P.
Publikováno v:
EPJ Web of Conferences, Vol 126, p 02014 (2016)
The DAMA project develops and uses new/improved low background scintillation detectors to investigate the Dark Matter (DM) particle component(s) in the galactic halo and rare processes deep underground at the Gran Sasso National Laboratory (LNGS) of
Externí odkaz:
https://doaj.org/article/4b79a9d7a98d49c18bb31327e20fcecc