Technical advances in remote sensing and modelling have improved understanding of dust sources and production, while advances in sedimentology, mineralogy and geochemistry (in particular) have allowed dust to be more easily distinguished within sedimentary deposits.
Field studies and modelling have improved the understanding of the spatial epidemiology of schistosomiasis in Africa, and have shown its relevance in planning schistosomiasis control programmes [ 5, 15].
The novel MPDNN model has improved the consistency for long MM probes, and this modeling method can potentially be used for the prediction of oligonucleotide microarray hybridizations.
So the overall model has improved.
Over the years, as the technology of such models has improved, they have been converting a given quantity of gas to larger and larger amounts of electricity.
Despite the problems posed in establishing the properties of matter under these extreme conditions, the precision of the models has improved steadily.
This model has improved Turnbull's empirical equation.
This type of models has improved accuracy, but their application ranges are limited.
This paper shows that the Taguchi approach-based thermodynamic model has improved the performance parameters slightly.
Experimental results showed that nonlinear model has improved measurement accuracy about 11.7%.
