Zobrazeno 1 - 10
of 16 638
pro vyhledávání: '"Bassetti"'
Publikováno v:
Infection and Drug Resistance, Vol Volume 17, Pp 2773-2783 (2024)
Tristan Ferry,1 Charalambos Gogos,2 Alex Soriano,3 Francesco Blasi,4,5 Wajeeha Ansari,6 Michal Kantecki,7 Bernd Schweikert,8 Gustavo Luna,9 Matteo Bassetti10 1Infectious Diseases Department, Croix-Rousse Hospital, Hospices Civils de Lyon, Lyon, Franc
Externí odkaz:
https://doaj.org/article/e88c7b7cd9ff4be59b715e7db2170ccf
Autor:
Bechny M, Monachino G, Fiorillo L, van der Meer J, Schmidt MH, Bassetti CLA, Tzovara A, Faraci FD
Publikováno v:
Nature and Science of Sleep, Vol Volume 16, Pp 555-572 (2024)
Michal Bechny,1,2 Giuliana Monachino,1,2 Luigi Fiorillo,2 Julia van der Meer,3 Markus H Schmidt,3,4 Claudio LA Bassetti,3 Athina Tzovara,1,3 Francesca D Faraci2 1Institute of Computer Science, University of Bern, Bern, Switzerland; 2Institute of Digi
Externí odkaz:
https://doaj.org/article/db950e4b93af4f61ae69e9518909b0c2
Autor:
Abueg, L.A.L., Afgan, E., Allart, O., Awan, A.H., Bacon, W.A., Baker, D., Bassetti, M., Batut, B., Bernt, M., Blankenberg, D., Bombarely, A., Bretaudeau, A., Bromhead, C.J., Burke, M.L., Capon, P.K., Čech, M., Chavero-Díez, M., Chilton, J.M., Collins, T.J., Coppens, F., Coraor, N., Cuccuru, G., Cumbo, F., Davis, J., De Geest, P.F., de Koning, W., Demko, M., DeSanto, A., Domínguez Begines, J.M., Doyle, M.A., Droesbeke, B., Erxleben-Eggenhofer, A., Föll, M.C., Formenti, G., Fouilloux, A., Gangazhe, R., Genthon, T., Goecks, J., Gonzalez Beltran, A.N., Goonasekera, N.A., Goué, N., Griffin, T.J., Grüning, B.A., Guerler, A., Gundersen, S., Gustafsson, O.J.R., Hall, C., Harrop, T.W., Hecht, H., Heidari, A., Heisner, T., Heyl, F., Hiltemann, S., Hotz, H.-R., Hyde, C.J., Jagtap, P.D., Jakiela, J., Johnson, J.E., Joshi, J., Jossé, M., Jum'ah, Khaled, Kalaš, M., Kamieniecka, Katarzyna, Kayikcioglu, T., Konkol, M., Kostrykin, L., Kucher, N., Kumar, A., Kuntz, M., Lariviere, D., Lazarus, R., Le Bras, Y., Le Corguillé, G., Lee, J., Leo, S., Liborio, L., Libouban, R., López Tabernero, D., Lopez-Delisle, L., Los, L.S., Mahmoud, A., Makunin, I., Marin, P., Mehta, S., Mok, W., Moreno, P.A., Morier-Genoud, F., Mosher, S., Müller, T., Nasr, E., Nekrutenko, A., Nelson, T.M., Oba, A.J., Ostrovsky, A., Polunina, P.V., Poterlowicz, Krzysztof, Price, E.J., Price, G.R., Rasche, H., Raubenolt, B., Royaux, C., Sargent, L., Savage, M.T., Savchenko, V., Savchenko, D., Schatz, M.C., Seguineau, P., Serrano-Solano, B., Soranzo, N., Srikakulam, S.K., Suderman, K., Syme, A.E., Tangaro, M.A., Tedds, J.A., Tekman, M., Thang, W.C.M., Thanki, A.S., Uhl, M., van den Beek, M., Varshney, D., Vessio, J., Videm, P., Von Kuster, G., Watson, G.R., Whitaker-Allen, N., Winter, U., Wolstencroft, M., Zambelli, F., Zierep, P., Zoabi, R.
Yes
Galaxy (https://galaxyproject.org) is deployed globally, predominantly through free-to-use services, supporting user-driven research that broadens in scope each year. Users are attracted to public Galaxy services by platform stability, tool
Galaxy (https://galaxyproject.org) is deployed globally, predominantly through free-to-use services, supporting user-driven research that broadens in scope each year. Users are attracted to public Galaxy services by platform stability, tool
Externí odkaz:
http://hdl.handle.net/10454/19930
Publikováno v:
European Research on Management and Business Economics, Vol 29, Iss 3, Pp 100226- (2023)
How do exporters react to changes in formal institutional contexts? We hypothesise that when the formal institutional context reduces uncertainty, family-firm exporters increase their productivity more than those of non-family firms. To examine our g
Externí odkaz:
https://doaj.org/article/66371012f7ea439ea3bff535a96cf274
Autor:
Zhang Z, Dauvilliers Y, Plazzi G, Mayer G, Lammers GJ, Santamaria J, Partinen M, Overeem S, del Rio Villegas R, Sonka K, Peraita-Adrados R, Heinzer R, Wierzbicka A, Högl B, Manconi M, Feketeova E, da Silva AM, Bušková J, Bassetti CLA, Barateau L, Pizza F, Antelmi E, Gool JK, Fronczek R, Gaig C, Khatami R
Publikováno v:
Nature and Science of Sleep, Vol Volume 14, Pp 1031-1047 (2022)
Zhongxing Zhang,1 Yves Dauvilliers,2– 4 Giuseppe Plazzi,5,6 Geert Mayer,7 Gert Jan Lammers,8,9 Joan Santamaria,10 Markku Partinen,11 Sebastiaan Overeem,12,13 Rafael del Rio Villegas,14 Karel Sonka,15 Rosa Peraita-Adrados,16 Raphaël Heinzer,17 Alek
Externí odkaz:
https://doaj.org/article/4f382d0fb91b472fb13627195f82173c
Publikováno v:
Infection and Drug Resistance, Vol Volume 15, Pp 2137-2157 (2022)
Daniele Roberto Giacobbe,1,2 Silvia Dettori,1,2 Silvia Corcione,3 Antonio Vena,1,2 Chiara Sepulcri,1,2 Alberto Enrico Maraolo,4 Francesco Giuseppe De Rosa,3 Matteo Bassetti1,2 1Clinica Malattie Infettive, Ospedale Policlinico San Martino – IRCCS, G
Externí odkaz:
https://doaj.org/article/5436137d963c4f988f4c9f9845f114d4
Autor:
El Saghir A, Dimitriou G, Scholer M, Istampoulouoglou I, Heinrich P, Baumgartl K, Schwendimann R, Bassetti S, Leuppi-Taegtmeyer A
Publikováno v:
Drug, Healthcare and Patient Safety, Vol Volume 13, Pp 251-263 (2021)
Amina El Saghir,1,* Georgios Dimitriou,2,* Miriam Scholer,3 Ioanna Istampoulouoglou,1 Patrick Heinrich,3 Klaus Baumgartl,3 René Schwendimann,4 Stefano Bassetti,2 Anne Leuppi-Taegtmeyer1 1Department of Clinical Pharmacology & Toxicology, Univ
Externí odkaz:
https://doaj.org/article/76d89536eda4419e8cd2d36681f9d16c
Autor:
Giacobbe DR, Ciacco E, Girmenia C, Pea F, Rossolini GM, Sotgiu G, Tascini C, Tumbarello M, Viale P, Bassetti M
Publikováno v:
Infection and Drug Resistance, Vol Volume 13, Pp 4697-4711 (2020)
Daniele Roberto Giacobbe,1,2 Eugenio Ciacco,3 Corrado Girmenia,4 Federico Pea,5,6 Gian Maria Rossolini,7,8 Giovanni Sotgiu,9 Carlo Tascini,10 Mario Tumbarello,11,12 Pierluigi Viale,5,6 Matteo Bassetti1,2 On behalf of the ISGRI-SITA (Italian Study Gro
Externí odkaz:
https://doaj.org/article/f9ccfebb841a427bbc13fffdc31a34cc
Deep linear networks have been extensively studied, as they provide simplified models of deep learning. However, little is known in the case of finite-width architectures with multiple outputs and convolutional layers. In this manuscript, we provide
Externí odkaz:
http://arxiv.org/abs/2406.03260
Earth system models (ESMs) are the principal tools used in climate science to generate future climate projections under various atmospheric emissions scenarios on a global or regional scale. Generative deep learning approaches are suitable for emulat
Externí odkaz:
http://arxiv.org/abs/2404.08797