The paper present examples of evaluation of uncertainty of a comparator type force calibration machine, either by calibration of force calibration machine using transfer standard transducers or via independent traceability of the reference force transducer. Results of evaluations are presented for reference values from various sources, different mounting conditions and different traceability links.

This paper describes a method to find an appropriate extrapolation with its corresponding uncertainty for any sensor in its full working range with the information provided by calibrations in partial ranges lower than the full working range. It is based on the assumption that the relation between the sensor input and output can be described by means of polynomial approximations. The method includes several conditions that are established in order to ensure a valid approximation for the extrapolation. The work is a contribution to the EMRP project “Force traceability within the meganewton range”.

Climate change can affect coastal areas in a variety of ways. These zone are sensitive to sea level rise, changes in the frequency and intensity of storms, increases in precipitation, and warmer ocean temperatures. In addition, rising atmospheric concentrations of carbon dioxide (CO₂) are causing the oceans to absorb more of the gas and become more acidic. This rising acidity can have significant impacts on coastal and marine ecosystems.
High temperatures are increasing in recent years. Extreme weather events, such as heat waves, are one of the hallmarks of global climate change. In light of climate change and rising frequency of extreme weather events, the impact of weather on human health is affecting widely the scientific community. In particular the associations between high temperatures and mortality are well studied. Weather conditions are natural factors that affect the human organism. Recent works shown that the temperature threshold at which an impact is seen varies by geographic area and season.
In this paper, the heat wave-related hospital admissions were analyzed for the summer period (June – August) of 2012, for two city located in Ionian area of Italy: Matera and Policoro. Meteorological variables of the Matera and Policoro measuring stations were retrieved from the regional agency for development and innovation in agriculture (Italian acronym – ALSIA). Starting from these data, bioclimatic indicators were calculated and compared with hospital admissions, in order to identify a correlation with heat waves.