We discuss the simplest models for the generation of neutrinos masses at tree level and one-loop level. The realization of the different seesaw mechanisms in the context of renormalizable SU(5) and SO(10) theories is reviewed. A new mechanism for the generation of neutrino masses at one-loop level is presented. We discuss the first realization of the Type III seesaw mechanism in the context of ...

Steady state and dynamic fermentations of baker's yeast in molasses based media were analyzed in a laboratory scale bioreactor. Sugar and biomass balances together with the Monod biokinetics were used to develop the process model. Parameters of the model were obtained using collected experimental data. Model predicted open loop responses to step changes in feed concentration as well as dilu...

Mercury is recognized internationally as an important pollutant, since mercury and its compounds are persistent, bioaccumulative and toxic, and pose human and ecosystem risks. Although mercury can cycle in the environment in all media, an important aspect of this cycling is the bioaccumulation of mercury along the aquatic food chain. Mercury, in the form of methylmercury, bioaccumulates up the ...

This paper studies the control of a pH process by using a neuro fuzzy controller with gain scheduling. As the process to be controlled is highly non-linear the PI-type fuzzy controller that will be used generally is not able to control the system adequately. For this, a very simple feedforward neural network trained on-line, is put at the output of the PI-type fuzzy controller in order to calcu...

A new approach to odor and pH control in medical and hygiene care applications relies on a treatment of absorbent fluff with selected enzyme inhibitors. Cellulose fiber was found to be a convenient carrier for some chemicals which modify the structure of an enzyme and/or block its active site. In an absorbent system exposed for example to body liquids containing urea, selected substances, when ...

In number of research projects various adaptive control methods have been applied to the control of pH with varying success. Recently, intelligent control methods based on fuzzy systems and neural networks have been studied intensively (for example, see Ylén and Jutila, 1996). In some of these studies (see Loh et al, 1995 and Aoyama et al, 1995) nonlinear models are created explicitly for model...