Rodica Tuduce

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Intelligent e-learning environments (ILE) can increase the attractivity of e-learning systems and their teaching efficiency by adapting to each learner profile (LP) and by providing multiple support to the tutor. ILE components guide the trainee through the learning process, offer a platform for co-operative learning and knowledge discovery, and customize(More)
The nucleotide imbalance, the nucleotide pair imbalance and the nucleotide path of mitochondrial Nucleotide Genomic Signals (mtNuGSs) of the hominidae family have been analyzed. A reference-offset representation of sets of related signals is used. KeywordsNucleotide Genomic Signals; mitochondrial DNA; nucleotide imbalance; nucleotide pair imbalance;(More)
The paper presents aspects of knowledge assessment in the framework of adaptive e-learning systems, focussing on aspect related to self-testing, as a way of providing the input necessary for both system adaptation and user informed decisions. A model of up-ward propagation of evaluation credits and down-ward propagation of validation and acceptance is(More)
The paper presents a classification of the protein surface atom neighbourhoods from the hydrophobicity perspective. Hydrophobicity is the property which is considered around each surface atom. The actual hydrophobicity distribution on the atoms that form an atom's vicinity is replaced by an equivalent hydrophobicity density distribution, computed in a(More)
The conversion of symbolic nucleotide sequences into digital signals allows applying signal processing methods to the analysis of genomic data. The method reveals regularities in the distribution of nucleotides and pairs of nucleotides along the genomic sequences, that would be difficult to detect in symbolic form. The structural restrictions of genomic(More)
The paper presents a flexible artificial neural network (ANN) model, in order to support modifications of a complex input-output function that describes the catalyst monitoring process of a multi-tube reactor. The goal is to obtain a good accuracy of the predicted data by using an optimal ANN architecture and well-suited delay vectors. The research targets(More)
Converting symbolic sequences into complex genomic signals reveals surprising regularities of genomes, both locally and at a global scale. This approach allows using signal processing methods for the handling and analysis of nucleotide sequences, specifically for the prediction of nucleotides when knowing the preceding ones in the sequence. In this paper we(More)