This paper considers the similarity between two measures of air pollution/quality control, on the one hand, and widely used indicators of life quality and welfare, on the other. We have developed a multi-layer perceptron neural network system which is trained to predict the measurements of air quality (emissions of sulphur and nitrogen oxides), using Eurostat data for 34 countries. We used life...

On the 1st and 2nd May 2015, participants at the RCGP London City Health Conference debated practical ways to achieve integrated care at community level. In five connected workshops, participants reviewed current work and identified ways to overcome some of the problems that had become apparent. In this paper, we summarise the conclusions of each workshop, and provide an overall comment. There ...

In this work, a more accurate prediction of liquid evaporation flux has been achieved. The statistical rate theory approach, which is recently introduced by Ward and Fang and exact estimation of vapor pressure in the layer adjacent to the liquid–vapor interface have  been used for prediction of this flux. Firstly, the existence of an equilibrium layer adjacent to the liquid-vapor interface ...

A classic problem in neural networks is the depth investigation of the network. Is there any potential benefit when training depth-one threshold circuits by adding extra layers and further training them? This question is investigated in a powerful recently introduced artificial intelligence system, called the Logarithmic Simulated Annealing (LSA) machine, that combines the Simulated Annealing A...

An approximate analytical solution is obtained for hypersonic flow past a slender elliptic cone using second-order perturbation techniques in spherical coordinate systems. The analysis is based on perturbations of hypersonic flow past a circular cone aligned with the free stream, the perturbations stemming from the small cross-section eccentricity. By means of hypersonic approximations for the ...