This paper presents a novel Neural Network application in order to estimate Air Pollutant Levels. The application considers both Pollutant concentrations and Meteorological variables. In order to compute the Air Pollutant Level the method considers three important stages. In first stage, A process to validate data information and built a threedimensional Information Feature Vector with Pollutan...

The highly intercorrelated nature of air pollutants makes it difficult to examine their combined effects on health. As such, epidemiological studies have traditionally focused on single-pollutant models that use regression-based techniques to examine the marginal association between a pollutant and a health outcome. These relatively simple, additive models are useful for discerning the effect o...

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BACKGROUND Environmental pollutants are thought to be one of major triggers of atopic dermatitis (AD). OBJECTIVE We attempted to evaluate the clinical effects of environment with low indoor pollutant levels on AD management. METHODS Fifty-one children (mean age 1.7 years) with moderate to severe AD who failed to show improvement with conventional management were recruited. Disease severity ...

Unborn children are exposed to environmental pollutants via the placenta, and there is a causal relationship between maternal intake of pollutants and fetal exposure. Placental examination is an effective way for acquiring data for estimating fetal exposure. We analyzed the concentrations of 104 congeners of persistent organic pollutants, seven organotin compounds, five heavy metals, and methyl...

The purpose of this paper is to analyse and compare the values of a marginal change in the area of land as a pollutant sink under different decision-making contexts and objectives: international coordination versus national policies for pollutant reduction, and maximization of net benefits versus minimization of costs for pollutant reductions. The analytical results show that a coordinated poli...