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Background Several studies highlighted a great variability, both between and within countries, in the prevalence of asthma and chronic airways diseases. Aim To evaluate if geo-climatic variations can explain the heterogeneity in the prevalence of asthma and respiratory diseases in Italy. Methods Between 2006 and 2010, a postal screening questionnaire on respiratory health was administered to 18,357 randomly selected subjects, aged 20–44, living in 7 centers in northern, central, and southern Italy. A random-effects meta-analysis was fitted to evaluate the between-centers heterogeneity in the prevalence of asthma, asthma-like symptoms, allergic rhinitis, and chronic bronchitis (CB). A principal component analysis (PCA) was performed to synthetize the geo-climatic information (annual mean temperature, range of temperature, annual rainfalls, global solar radiations, altitude, distance from the sea) of all the 110 Italian province capital towns. The associations between these geo-climatic components obtained with PCA and the prevalence of respiratory diseases were analyzed through meta-regression models. Results 10,464 (57%) subjects responded to the questionnaire. There was a significant between-centers heterogeneity in the prevalence of asthma (I 2 = 59.5%, p = 0.022) and CB (I 2 = 60.5%, p = 0.019), but not in that of asthma-like symptoms or allergic rhinitis. Two independent geo-climatic components explaining together about 80% of the overall geo-climatic variability were identified: the first principally summarized the climatic variables; the second the topographic ones. Variations in the prevalence of asthma across centers were significantly associated with differences in the climatic component (p = 0.017), but not with differences in the topographic one. Conclusions Our findings suggest that climate play a role in determining the between-center heterogeneity in the prevalence of asthma in Italy, with higher prevalence in dry-hot Mediterranean climates, and lower in rainy-cold northern climates.

Digestate coming from an Anaerobic Digestion unit in a Biogas Plant, feeded on cow manure and vegetable waste from markets, has been used. About 8-35 L polyethylene transparent bags have been employed as cultivation container, outdoor. Different aliquots of digestate, alone or mixed with commercial liquid fertiliser, were employed to cultivate in batch Scenedesus dimorphus, a freshwater green microalga, in the ENEA facilities of Casaccia Research Center, near Rome, Italy. The cultivation period was June-July 2013. The average daily yields of dry microalgae biomass varied from 20 mg/L/d to 60 mg/L/d, mean 38.2 mg/L/d. Final dry biomass concentration varied from 0.18 to 1.29 g/L, mean 0.55 g/L. S. dimorphus proved to be very efficient in removing N and P from the culture medium. Another fact emerged from these trials is that S. dimorphus inner composition resulted to be variable in response to the tested different culture conditions. © 2015 Taylor & Francis.

A method capable of forecasting the DHI (Diffuse Horizontal Irradiance), DNI (Direct Normal Irradiance) and GHI (Global Horizontal Irradiance) for targeted locations involved in the installation of concentrating solar plants has been developed at the Casaccia Center of the ENEA located near Rome (Italy). These forecasts are issued daily at 00:00 in the morning and cover a temporal arc of four days which includes the actual day as well as the following three days in hourly time resolution. The method develops and expands upon information taken from Internet and these forecasts are presented as an example on the Internet site for five localities of ENEA interest: http://www.solaritaly.enea. it/Previsioni/PrevisioniEn.php; they are potentially available for every location. The RMSE% of the DNI forecasts on daily basis compared with the measures is 10%. In the Internet age, old methods must be updated to take into account the immense potential available today on the net. © 2013 The Authors.