Condition Monitoring of Wind Turbine Systems by Explainable Artificial Intelligence Techniques.

The performance evaluation of wind turbines operating in real-world environments typically relies on analyzing the power curve, which shows the relationship between wind speed and power output. However, conventional univariate models that consider only wind speed as an input variable often fail to fully explain the observed performance of wind turbines, as power output depends on multiple variables, including working parameters and ambient conditions. To overcome this limitation, the use of multivariate power curves that consider multiple input variables needs to be explored.

[Acute flaccid paralysis (AFP) surveillance in the Marche region (1997-2003)].

As referral centre for the Marche region, within the national acute flaccid paralysis (AFP) surveillance program, coordinated by the National Institute of Health, the Department of Hygiene of the University of Ancona, launched its surveillance activities in February 1997, by involving pediatric, neurology and infectious disease departments of 20 hospitals. The expected number of AFP cases in the Marche region is 2 per year. Between 1997 and 2003, a total of 16 cases were reported, 2 of which in 1997 (yielding an incidence rate of 1/100000), 4 in 1998 (incidence rate 2/100000), 2 in 1999 (incidence rate 1/100000), 1 in 2000 (incidence rate 0.