Gaia is a satellite mission of the ESA, aiming at absolute astro-metric measurements of about one billion stars (V < 20) with unprecedented accuracy. Additionally, magnitudes and colors will be obtained for all these stars, while radial-velocities will be determined only for bright objects (V < 17.5). However, the wavelength range for the radial-velocity instrument is rather unsuitable for most...

In the last few years a great number of AOSE methodologies have been proposed, some of which centered on organizational aspects to better capture the behavior of agents societies. Those methodologies may be considered very useful for modeling open systems composed of a great number of interacting autonomous agents. Gaia exploits organizational abstractions to provide clear guidelines for the an...

Maternal vaccination is an important area of research and requires appropriate and internationally comparable definitions and safety standards. The GAIA group, part of the Brighton Collaboration was created with the mandate of proposing standardised definitions applicable to maternal vaccine research. This study proposes international definitions for neonatal infections. The neonatal infections...

This documents describes DSC benchmarking experiments using cycle 2A data. We investigated classification algorithms based on boosting, neural networks, mixture clustering and radial basis function networks. Two different magnitudes were used (17 and 20). Moreover classification was done with astrometry as well as without. Gaia DPAC: CU8-DU-MPIA DSC Benchmarking GAIA-C8-TN-MPIA-CE-001-01

Gaia theory, first proposed in 1970 by British chemist James Lovelock and later elaborated by microbiologist Lynn Margulis, has developed from a controversial hypothesis to a broadly accepted set of ideas about the relationships among Earth's physical, chemical and biological features. Gaia theory represents a creative synthesis that has emerged through and built upon reductionist science, view...

PROMETHEEmethods are widely used in Multiple Criteria Decision Aiding (MCDA) to deal with real world decision making problems. In this paper, we propose to apply the Stochastic Multicriteria Acceptability Analysis (SMAA) to the family of PROMETHEEmethods in order to explore the whole set of parameters compatible with some preference information provided by the Decision Maker (DM). The applicati...

aortic valve implantation Diego Felipe Gaia*, João Roberto Breda, Enio Buffolo and José Honório Palma Department of Cardiovascular Surgery, Federal University of São Paulo, São Paulo, Brazil * Corresponding author. Department of Cardiovascular Surgery, Federal University of São Paulo, Napoleão Barros 715, 3th Floor, 04038-000 São Paulo, Brazil. Tel: +55-11-55764055; fax: +55-11-55712719; e-mail...

We investigate what the proposed ESA astrometric satellite GAIA will reveal by observing the halo of the Milky Way. Specifically, we look for halo streams which are the signatures left by the merging/accretion events experienced by a typical galaxy like the Milky Way. We run numerical simulations of the disruption of satellite galaxies in a Galactic potential to generate artificial GAIA halo ca...

Application of Data Envelopment Analysis (DEA) as a Multicriterion Decision Making (MCDM) methodology is tested for Sri Ram Sagar Project, Andhra Pradesh, India to select the suitable irrigation planning alternative. Three different criterion functions of DEA, namely minimizing deviation variable D j (Min D j ), minimizing maximum deviation (Minmax), and minimizing the sum of deviations ∑ D j (...

Supplier selection is a multi-Criteria problem. This study proposes a hybrid model for supporting the suppliers’ selection and ranking. This research is a two-stage model designed to fully rank the suppliers where each supplier has multiple Inputs and Outputs. First, the supplier evaluation problem is formulated by Data Envelopment Analysis (DEA), since the regarded decision deals with uncertai...