Zobrazeno 1 - 10
of 6 174
pro vyhledávání: '"BERNARDI M"'
Publikováno v:
Hepatic Medicine: Evidence and Research, Vol Volume 12, Pp 153-172 (2020)
Giacomo Zaccherini, Manuel Tufoni, Mauro Bernardi Department of Medical and Surgical Sciences, Alma Mater Studiorum - University of Bologna, Bologna 40138, ItalyCorrespondence: Mauro Bernardi Email mauro.bernardi@unibo.itAbstract: The use of albumin
Externí odkaz:
https://doaj.org/article/daf1c892805049e998608a25d61c96a4
Publikováno v:
Therapeutics and Clinical Risk Management, Vol 2015, Iss default, Pp 1325-1335 (2015)
Alberto Migliore,1 Emanuele Bizzi,1 Colin Gerard Egan,2 Mauro Bernardi,3 Lea Petrella4 1Rheumatology Unit, San Pietro Fatebenefratelli Hospital, Rome, 2Primula Multimedia SRL, Pisa, 3Department of Statistical Sciences, University of Padova, Padova, 4
Externí odkaz:
https://doaj.org/article/74d3466b1f0c4f6f9c5151230d8415bd
Autor:
Sánchez, H. Domínguez, Martin, G., Damjanov, I., Buitrago, F., Huertas-Company, M., Bottrell, C., Bernardi, M., Knapen, J. H., Vega-Ferrero, J., Hausen, R., Kado-Fong, E., Población-Criado, D., Souchereau, H., Leste, O. K., Robertson, B., Sahelices, B., Johnston, K. V.
Interactions between galaxies leave distinguishable imprints in the form of tidal features which hold important clues about their mass assembly. Unfortunately, these structures are difficult to detect because they are low surface brightness features
Externí odkaz:
http://arxiv.org/abs/2303.03407
We study systematics associated with estimating simple stellar population (SSP) parameters -- age, metallicity [M/H], $\alpha$-enhancement [$\alpha$/Fe] and IMF shape -- and associated $M_*/L$ gradients, of elliptical slow rotators (E-SRs), fast rota
Externí odkaz:
http://arxiv.org/abs/2211.05800
Autor:
Cheng, Ting-Yun, Sánchez, H. Domínguez, Vega-Ferrero, J., Conselice, C. J., Siudek, M., Aragón-Salamanca, A., Bernardi, M., Cooke, R., Ferreira, L., Huertas-Company, M., Krywult, J., Palmese, A., Pieres, A., Malagón, A. A. Plazas, Rosell, A. Carnero, Gruen, D., Thomas, D., Bacon, D., Brooks, D., James, D. J., Hollowood, D. L., Friedel, D., Suchyta, E., Sanchez, E., Menanteau, F., Paz-Chinchón, F., Gutierrez, G., Tarle, G., Sevilla-Noarbe, I., Ferrero, I., Annis, J., Frieman, J., García-Bellido, J., Mena-Fernández, J., Honscheid, K., Kuehn, K., da Costa, L. N., Gatti, M., Raveri, M., Pereira, M. E. S., Rodriguez-Monroy, M., Smith, M., Kind, M. Carrasco, Aguena, M., Swanson, M. E. C., Weaverdyck, N., Doel, P., Miquel, R., Ogando, R. L. C., Gruendl, R. A., Allam, S., Hinton, S. R., Dodelson, S., Bocquet, S., Desai, S., Everett, S., Scarpine, V.
We compare the two largest galaxy morphology catalogues, which separate early and late type galaxies at intermediate redshift. The two catalogues were built by applying supervised deep learning (convolutional neural networks, CNNs) to the Dark Energy
Externí odkaz:
http://arxiv.org/abs/2209.06897
Publikováno v:
Cerâmica, Vol 48, Iss 308, Pp 192-198 (2002)
In this work we report the synthesis of TiO2 thin films by the Organometallic Chemical Vapor Deposition (MOCVD) method. The influence of deposition parameters used during the growth in the obtained structural characteristics was studied. Different te
Externí odkaz:
https://doaj.org/article/15272fbb65d04eed87bcc8fff45d2fa8
Autor:
Gratens, X., Silva, B. de Abreu, Bernardi, M. I. B., de Carvalho, H. B., Franco Jr, A., Chitta, V. A.
The magnetization of Zn1-xCoxO (0.0055 < x < 0.073) nanoparticles has been measured as a function of temperature T (1.7 K < T , 10 K) and for magnetic field up to 65 kOe using a SQUID magnetometer. Samples were synthesized by three different growth m
Externí odkaz:
http://arxiv.org/abs/2205.06213
Autor:
Bernardi, M., Sheth, R. K., Sanchez, H. Dominguez, Margalef-Bentabol, B., Bizyaev, D., Lane, R. R.
Gradients in the stellar populations (SP) of galaxies -- e.g., in age, metallicity, stellar Initial Mass Function (IMF) -- can result in gradients in the stellar mass to light ratio, $M_*/L$. Such gradients imply that the distribution of the stellar
Externí odkaz:
http://arxiv.org/abs/2201.07810
We present the MaNGA PyMorph photometric Value Added Catalogue (MPP-VAC-DR17) and the MaNGA Deep Learning Morphological VAC (MDLM-VAC-DR17) for the final data release of the MaNGA survey, which is part of the SDSS Data Release 17 (DR17). The MPP-VAC-
Externí odkaz:
http://arxiv.org/abs/2110.10694
Autor:
De Masi, G., Cavazzana, R., Ruffini, F., Marchiori, G., Moresco, M., Agnello, R., Cordaro, L., Bernardi, M., Girotto, E., Tiso, A., Peruzzo, S.
Publikováno v:
In Fusion Engineering and Design April 2024 201