Magda Ruiz

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Cyclic nucleotide-gated (CNG) channels are directly activated by the binding of several ligands. For these channels as well as for other allosteric proteins, the functional effects of each ligand-binding event have been difficult to assess because ligands continuously bind and unbind at each site. Furthermore, in retinal rod photoreceptors the low(More)
Cyclic nucleotide-gated channels contain four subunits, each with a C-terminal binding site for cGMP or cAMP. The dose-response relation for activation is usually fit with the Hill equation, I/I(max) = [cGMP]n/([cGMP]n + K(1/2)n, where I/I(max) is the fraction of maximal current, K(1/2) is the concentration of cGMP that gives a half-maximal current, and n(More)
A Sequencing Batch Reactor (SBR) is a wastewater process that occurs in a unique basin working with a predefined cycle. The reactor is monitored by the pH, Oxidation Reduction Potential, Dissolved Oxygen and Temperature sensors. This work proposes a qualitative representation of process variables based on episodes for ORP and pH signals to determine the(More)
Retinal rod cyclic nucleotide-gated channels are composed of alpha and beta subunits. We have explored possible subunit arrangements by expressing tandemly linked dimers of both subunits and examining their responses to three different modulating agents. Channels formed from either alpha-beta or beta-alpha heterodimers had functional properties similar to(More)
The data set of batch biological and biotechnological processes can be organized in a three-way data matrix. In this paper the usefulness of different PCA approaches for monitoring is analyzed. Different ways of unfolding and scaling of data have been applied to a pilot-scale SBR data. PCA is used to reduce the dimensionality and to remove the non-linearity(More)
The paper focuses on the development of a classification strategy to identify critic situation in batch process control. Data acquired from a batch execution is reduced by means of multiway principal component analysis in order to be assessed according to the statistical model of the process. Multiple situations have been categorized by a classification(More)
This work deals with a previously proposed piezo-diagnostic methodology based on principal component analysis for structural damage detection. Previous works have demonstrated the effectiveness of baseline models to distinguish between structural damage and undamaged conditions, however, its robustness and reproducibility depends on a proper estimation of(More)
—This paper describes the combination of Multi-variate Statistical Process Control (MSPC) and Case-Based Reasoning to situation assessment of a Waste Water Treatment Plant (WWTP). The goal of this work is to evaluate the capabilities of these techniques for assessing the actual state of a WWTP. The research was performed in a pilot WWTP operating with a(More)
Experiences in heterogeneous application domains treated with different data mining approaches are presented in this paper: Case based reasoning and self organising maps have used to diagnose beams and pipes after analysing their responses using wavelet decomposition. Also case based reasoning methodology has been used to improve electronic circuits(More)
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