Zobrazeno 1 - 10
of 995
pro vyhledávání: '"A M, Soave"'
Publikováno v:
Rivista di Patologia Vegetale, 1916 Mar 01. 8(2), 51-52.
Externí odkaz:
https://www.jstor.org/stable/42559515
Autor:
Montemartini, L.
Publikováno v:
Rivista di Patologia Vegetale, 1916 Jun 01. 8(3), 86-87.
Externí odkaz:
https://www.jstor.org/stable/42559534
Autor:
Montemartini, L.
Publikováno v:
Rivista di Patologia Vegetale, 1905 Sep . 1(5), 76-77.
Externí odkaz:
https://www.jstor.org/stable/42557071
Autor:
Lonneke A. vanTuijl, Adri C. Voogd, Alexander deGraeff, Adriaan W. Hoogendoorn, Adelita V. Ranchor, Kuan‐Yu Pan, Maartje Basten, Femke Lamers, Mirjam I. Geerlings, Jessica G. Abell, Philip Awadalla, Marije F. Bakker, Aartjan T. F. Beekman, Ottar Bjerkeset, Andy Boyd, Yunsong Cui, Henrike Galenkamp, Bert Garssen, Sean Hellingman, Martijn Huisman, Anke Huss, Melanie R. Keats, Almar A. L. Kok, Annemarie I. Luik, Nolwenn Noisel, N. Charlotte Onland‐Moret, Yves Payette, Brenda W. J. H. Penninx, Lützen Portengen, Ina Rissanen, Annelieke M. Roest, Judith G. M. Rosmalen, Rikje Ruiter, Robert A. Schoevers, David M. Soave, Mandy Spaan, Andrew Steptoe, Karien Stronks, Erik R. Sund, Ellen Sweeney, Alison Teyhan, Ilonca Vaartjes, Kimberly D. van derWillik, Flora E. vanLeeuwen, Rutger vanPetersen, W. M. Monique Verschuren, Frank Visseren, Roel Vermeulen, Joost Dekker
Publikováno v:
Brain and Behavior, Vol 11, Iss 10, Pp n/a-n/a (2021)
Abstract Objectives Psychosocial factors have been hypothesized to increase the risk of cancer. This study aims (1) to test whether psychosocial factors (depression, anxiety, recent loss events, subjective social support, relationship status, general
Externí odkaz:
https://doaj.org/article/f0759be8238d4d439123ce1cfa71d24a
Akademický článek
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Akademický článek
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Autor:
David M. Soave, Lisa J. Strug
Publikováno v:
Frontiers in Genetics, Vol 9 (2018)
Risk prediction models can translate genetic association findings for clinical decision-making. Most models are evaluated on their ability to discriminate, and the calibration of risk-prediction models is largely overlooked in applications. Models th
Externí odkaz:
https://doaj.org/article/f2fbf20af97341d98a93cef8eef23516
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XL-3/W3, Pp 601-605 (2015)
Nowadays, rapid technological development into acquiring geo-spatial information; joined to the capabilities to process these data in a relative short period of time, allows the generation of detailed 3D textured city models that will become an essen
Externí odkaz:
https://doaj.org/article/f797087fdb6f4d9297361b86e0dca6bd
Intensive care unit patients with lower respiratory tract nosocomial infections: the ENIRRIs project
Autor:
Gennaro De Pascale, Otavio T. Ranzani, Saad Nseir, Jean Chastre, Tobias Welte, Massimo Antonelli, Paolo Navalesi, Eugenio Garofalo, Andrea Bruni, Luis Miguel Coelho, Szymon Skoczynski, Federico Longhini, Fabio Silvio Taccone, David Grimaldi, Helmut J.F. Salzer, Christoph Lange, Filipe Froes, Antoni Artigas, Emili Díaz, Jordi Vallés, Alejandro Rodríguez, Mauro Panigada, Vittoria Comellini, Luca Fasano, Paolo M. Soave, Giorgia Spinazzola, Charles-Edouard Luyt, Francisco Alvarez-Lerma, Judith Marin, Joan Ramon Masclans, Davide Chiumello, Angelo Pezzi, Marcus Schultz, Hafiz Mohamed, Menno Van Der Eerden, Roger A.S. Hoek, D.A.M.P.J. Gommers, Marta Di Pasquale, Rok Civljak, Marko Kutleša, Matteo Bassetti, George Dimopoulos, Stefano Nava, Fernando Rios, Fernando G. Zampieri, Pedro Povoa, Lieuwe D. Bos, Stefano Aliberti, Antoni Torres, Ignacio Martín-Loeches
Publikováno v:
ERJ Open Research, Vol 3, Iss 4 (2017)
The clinical course of intensive care unit (ICU) patients may be complicated by a large spectrum of lower respiratory tract infections (LRTI), defined by specific epidemiological, clinical and microbiological aspects. A European network for ICU-relat
Externí odkaz:
https://doaj.org/article/68d61dbc1ad54607b344639171919e9c
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol II-4, Pp 59-64 (2014)
The rapid technological evolution, which is characterizing all the disciplines involved within the wide concept of smart cities, is becoming a key factor to trigger true user-driven innovation. However to fully develop the Smart City concept to a wid
Externí odkaz:
https://doaj.org/article/a55b32c8d9af4c8bbcca7fa3820ac8c0