Context. The ESPRESSO spectrograph is a new powerful tool developed to detect and characterize extrasolar planets. Its design allows an unprecedented radial velocity precision (down few tens of cm s −1 ) long-term thermomechanical stability. Aims. We present the first stand-alone detection planet by blind search using ESPRESSO; our aim show power instrument in characterizing planetary signals a...

In the food industry, sensory analysis can be useful to direct marketing decisions concerning not only products, for example product positioning with respect to competitors, but also market segmentation, customer relationship management, advertising strategies and price policies. In this paper we show how interesting information useful for marketing management can be obtained by combining the r...

A novel two-level Boolean minimization method is presented here. In contrast to classical methods the cover of the on-set is computed first, whilst no implicants are known to this phase. The implicants are being derived from the source terms by their expansion directed by the cover. This allows us to generate group implicants directly, avoiding the time-consuming implicant expansions and reduct...

In today’s digital society, electronic information is increasingly shared among different entities, and decisions are made based on common attributes. To address associated privacy concerns, the research community has begun to develop cryptographic techniques for controlled (privacy-preserving) information sharing. One interesting open problem involves two mutually distrustful parties that need...

Information extraction systems learn patterns for extracting pairs instantiating a given relation from text. For instance, for the relation capital of a system might learn extraction patterns such as ‘Arg1 is capital of Arg2’, or ’The embassador of arg2 was called back to Arg1’. Lightly supervised information extraction systems learn extraction patterns by means of a bootstrapping procedure, wh...