Spatial distribution of indoor radon in Triveneto (Northern Italy): a geostatistical approach.

The study of spatial distribution of the indoor radon has assumed in the last years a lot of interest. The geostatistical techniques turn out to be particularly promising. The present work presents the results of a study where around 4000 indoor radon data from Veneto, Friuli Venezia-Giulia and Alto Adige, collected during the sampling campaigns performed in dwellings and in schools, have been analyzed.

Machine learning for the analysis of indoor radon distribution, compared with ordinary kriging.

Having a reliable forecasting tool is necessary to correctly identify radon prone areas, especially in cases where the variable of interest is the indoor radon concentration. An appropriate characterisation of the features of the buildings becomes fundamental. In this work, the results obtained (in global and local scale) using the following approaches for estimating the concentration of indoor radon at locations that were not sampled were compared: geostatistical model, based on ordinary kriging, and machine learning (ML) technique.

[Cat scratch disease. Bartonella henselae antibodies and DNA detection in regional lymphadenopathy].

History And Clinical Findings: Two hard, pressure-sensitive nodules developed in the lower jaw of a 22-year-old woman. After a dental cause had been excluded, she was treated for suspected tonsillitis with Ceftibuten. Erythrocyte sedimentation rate was increased to 18 mm in the first hour.