Zobrazeno 1 - 10
of 144
pro vyhledávání: '"L. García-Torres"'
Autor:
M. L. García-Torres, J. Primo, J. A. Ortuño, M. Martínez, M. D. Antón, A. Zaragoza, O. González, F. Devesa, C. Merino, J. A. del Olmo
Publikováno v:
Revista Espanola de Enfermedades Digestivas, Vol 100, Iss 7, Pp 400-404 (2008)
Introducción: existen factores geográficos que influyen en las características de la hepatitis autoinmune (HAI). Objetivo: conocer las características epidemiológicas, clínicas y respuesta al tratamiento de la hepatitis autoinmune en la provinc
Externí odkaz:
https://doaj.org/article/afe378c062db405a8a2070c540061e76
Autor:
L. Martí, J. A. del Olmo, J. Tosca, E. Ornia, M. L. García-Torres, M. A. Serra, F. Rodríguez, P. Lluch, A. Escudero, J. M. Rodrigo
Publikováno v:
Revista Espanola de Enfermedades Digestivas, Vol 97, Iss 4, Pp 258-265 (2005)
Objective: to ascertain the epidemiological characteristics, clinical symptoms, and evolution of drug-induced hepatitis over the last 22 years. Experimental design and subjects: an observational, retrospective study between 1982 and 1993, and prospec
Externí odkaz:
https://doaj.org/article/7842d5218d574537a5f2a7a3293780e8
An error occurred during the production process of the original published version. The following names were omitted from the author list: R. Haigron, D. Hatzidimitriou, M. Hauser, M. Haywood, U. Heiter, J. Heu, T. Hilger. The original published versi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2127::182344b46bb6736eb925f3798848cf28
https://pergamos.lib.uoa.gr/uoa/dl/object/uoadl:3074572
https://pergamos.lib.uoa.gr/uoa/dl/object/uoadl:3074572
Context. The ESA Gaia mission provides a unique time-domain survey for more than 1.6 billion sources with G ≲ 21 mag. Aims. We showcase stellar variability in the Galactic colour-absolute magnitude diagram (CaMD). We focus on pulsating, eruptiv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2127::c4b52d603d30727b192ad2c9d3a63ad6
https://pergamos.lib.uoa.gr/uoa/dl/object/uoadl:3069019
https://pergamos.lib.uoa.gr/uoa/dl/object/uoadl:3069019
Context. Gaia Data Release 2 provides high-precision astrometry and three-band photometry for about 1.3 billion sources over the full sky. The precision, accuracy, and homogeneity of both astrometry and photometry are unprecedented. Aims. We highligh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2127::6ea759a31b55e440460de67a64760908
https://pergamos.lib.uoa.gr/uoa/dl/object/uoadl:3069321
https://pergamos.lib.uoa.gr/uoa/dl/object/uoadl:3069321
Context. We present the second Gaia data release, Gaia DR2, consisting of astrometry, photometry, radial velocities, and information on astrophysical parameters and variability, for sources brighter than magnitude 21. In addition epoch astrometry and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2127::a3e93b313fc35f7eb604d33034f9476e
https://pergamos.lib.uoa.gr/uoa/dl/object/uoadl:3069323
https://pergamos.lib.uoa.gr/uoa/dl/object/uoadl:3069323
Context. The second release of Gaia data (Gaia DR2) contains the astrometric parameters for more than half a million quasars. This set defines a kinematically non-rotating reference frame in the optical domain. A subset of these quasars have accurate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2127::8c1f3b99f03d08f78e9d17edb36c1aae
https://pergamos.lib.uoa.gr/uoa/dl/object/uoadl:3069183
https://pergamos.lib.uoa.gr/uoa/dl/object/uoadl:3069183
Context. The second Gaia data release (Gaia DR2) contains high-precision positions, parallaxes, and proper motions for 1.3 billion sources as well as line-of-sight velocities for 7.2 million stars brighter than GRVS = 12 mag. Both samples provide a f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2127::1dabdbd690e29bfdc26ad07b40e05175
https://pergamos.lib.uoa.gr/uoa/dl/object/uoadl:3069317
https://pergamos.lib.uoa.gr/uoa/dl/object/uoadl:3069317
Autor:
Montserrat Jurado-Expósito, J. M. Peña-Barragán, R. Fernández-Escobar, Francisca López-Granados, L. García Torres
Publikováno v:
Digital.CSIC. Repositorio Institucional del CSIC
instname
instname
Key agronomic and environmental characteristics of tree orchards can be automatically assessed from remote sensing images by a computer program named Clustering Assessment® (CLUAS). The aim of this paper is to describe the CLUAS software development
In large parts of the developed and developing worlds soil tillage by plough or hoe is the main cause of land degradation leading to stagnating or even declining production levels and increasing production cost. It causes the soil to become more dens