What is the IQ of your data transformation system?

Mapping and translating data across different representations is a crucial problem in information systems. Many formalisms and tools are currently used for this purpose, to the point that devel- opers typically face a difficult question: “what is the right tool for my translation task?” In this paper, we introduce several techniques that contribute to answer this question. Among these, a fairly gen- eral definition of a data transformation system, a new and very effi- cient similarity measure to evaluate the outputs produced by such a system, and a metric to estimate user efforts. Based on these tech- niques, we are able to compare a wide range of systems on many translation tasks, to gain interesting insights about their effective- ness, and, ultimately, about their “intelligence”

Fog Detection Based on Meteosat Second Generation-Spinning Enhanced Visible and InfraRed Imager High Resolution Visible Channel

In this study, the Meteosat Second Generation (MSG)-Spinning Enhanced Visible and Infrared Imager (SEVIRI) High Resolution Visible channel (HRV) is used in synergy with the narrow band MSG-SEVIRI channels for daytime fog detection. A new algorithm, named MSG-SEVIRI SatFog, has been designed and implemented. MSG-SEVIRI SatFog provides the indication of the presence of fog in near real time and at the high spatial resolution of the HRV channel. The HRV resolution is useful for detecting small scale daytime fog that would be missed in the MSG-SEVIRI low spatial resolution channels. By combining textural, physical and tonal tests, a distinction between fog and low stratus is performed for pixels identified as low/middle clouds or clear by the Classification-MAsk Coupling of Statistical and Physical Methods (C-MACSP) cloud detection algorithm. Suitable thresholds have been determined using a specific dataset covering different geographical areas, seasons and time of the day. MSG-SEVIRI SatFog is evaluated against METeorological Aerodrome Reports (METAR) data observations. Evaluation results in an accuracy of 69.9%, a probability of detection of 68.7%, a false alarm ratio of 31.3% and a probability of false detection of 30.0%

Validation of a predictive survival model in Italian patients with cystic fibrosis

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Noodles: A Clustering Engine for the Web

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Phenotypic Heterogeneity in a Cystic Fibrosis Family and the "Pseudomonas Dilemma"

We describe an unusual family in which 2 adult siblings and the son of 1 are all affected by cystic fibrosis with rare mutations and different phenotypes. We discuss the dilemma surrounding the treatment of Pseudomonas aeruginosa colonization in the asymptomatic father, while minimizing disruption to the father-son relationshi