El lenguaje de la poesía. Una mirada a la palabra poética como superación de los límites del lenguaje filosófico: Wittgenstein y Octavio Paz

El presente artículo tiene por objetivo desarrollar algunas ideas acerca de la naturaleza del discurso poético dentro de la discusión epistemológica que sobre el lenguaje llevó a cabo el Círculo de Viena en la segunda mitad del siglo XX, especialmente en la obra de Wittgenstein y Rudolf Carnap. Del mismo modo se atraerán a dicha discusión la visión que sobre el lenguaje presenta Michel Foucault en su obra Las palabras y las cosas al tiempo que se pretende, a manera de síntesis, utilizar la obra de Octavio Paz para señalar y dimensionar el papel de la palabra poética en dicha discusión

La poética trágico.moderna en «Libertad bajo palabra» de Octavio Paz

Se realiza un análisis a la obra de Octavio Paz comparando distintos elementos entre sí

Modeling and visualizing uncertainty in gene expression clusters using Dirichlet process mixtures

Although the use of clustering methods has rapidly become one of the standard computational approaches in the literature of microarray gene expression data, little attention has been paid to uncertainty in the results obtained. Dirichlet process mixture (DPM) models provide a nonparametric Bayesian alternative to the bootstrap approach to modeling uncertainty in gene expression clustering. Most previously published applications of Bayesian model-based clustering methods have been to short time series data. In this paper, we present a case study of the application of nonparametric Bayesian clustering methods to the clustering of high-dimensional nontime series gene expression data using full Gaussian covariances. We use the probability that two genes belong to the same cluster in a DPM model as a measure of the similarity of these gene expression profiles. Conversely, this probability can be used to define a dissimilarity measure, which, for the purposes of visualization, can be input to one of the standard linkage algorithms used for hierarchical clustering. Biologically plausible results are obtained from the Rosetta compendium of expression profiles which extend previously published cluster analyses of this data

Changes in neuronal CycD/Cdk4 activity affect aging, neurodegeneration, and oxidative stress.

Mitochondrial dysfunction has been implicated in human diseases, including cancer, and proposed to accelerate aging. The Drosophila Cyclin-dependent protein kinase complex cyclin D/cyclin-dependent kinase 4 (CycD/Cdk4) promotes cellular growth by stimulating mitochondrial biogenesis. Here, we examine the neurodegenerative and aging consequences of altering CycD/Cdk4 function in Drosophila. We show that pan-neuronal loss or gain of CycD/Cdk4 increases mitochondrial superoxide, oxidative stress markers, and neurodegeneration and decreases lifespan. We find that RNAi-mediated depletion of the mitochondrial transcription factor, Tfam, can abrogate CycD/Cdk4's detrimental effects on both lifespan and neurodegeneration. This indicates that CycD/Cdk4's pathological consequences are mediated through altered mitochondrial function and a concomitant increase in reactive oxygen species. In support of this, we demonstrate that CycD/Cdk4 activity levels in the brain affect the expression of a set of 'oxidative stress' genes. Our results indicate that the precise regulation of neuronal CycD/Cdk4 activity is important to limit mitochondrial reactive oxygen species production and prevent neurodegeneration

Analysis and comparison of competitive balance in the Spanish ACB basketball league : a preliminary study

Regardless its relevance in sports economics, competitive balance has not been studied neither in Spanish nor in European professional basketball. In this preliminary study we measured the competitive balance in the Spanish ACB League from seasons 1983/1984 to 2003/2004 using the well-known winning percentage standard deviation index. Results showed great difference between seasons and a general low competitive balance index. In addition, tournament designing did not seem to affect the competitive balance in ACB

Preservation of protein clefts in comparative models

Additional material: 5 supplementary files.[Background] Comparative, or homology, modelling of protein structures is the most widely used prediction method when the target protein has homologues of known structure. Given that the quality of a model may vary greatly, several studies have been devoted to identifying the factors that influence modelling results. These studies usually consider the protein as a whole, and only a few provide a separate discussion of the behaviour of biologically relevant features of the protein. Given the value of the latter for many applications, here we extended previous work by analysing the preservation of native protein clefts in homology models. We chose to examine clefts because of their role in protein function/structure, as they are usually the locus of protein-protein interactions, host the enzymes' active site, or, in the case of protein domains, can also be the locus of domain-domain interactions that lead to the structure of the whole protein.[Results] We studied how the largest cleft of a protein varies in comparative models. To this end, we analysed a set of 53507 homology models that cover the whole sequence identity range, with a special emphasis on medium and low similarities. More precisely we examined how cleft quality – measured using six complementary parameters related to both global shape and local atomic environment, depends on the sequence identity between target and template proteins. In addition to this general analysis, we also explored the impact of a number of factors on cleft quality, and found that the relationship between quality and sequence identity varies depending on cleft rank amongst the set of protein clefts (when ordered according to size), and number of aligned residues.[Conclusion] We have examined cleft quality in homology models at a range of seq.id. levels. Our results provide a detailed view of how quality is affected by distinct parameters and thus may help the user of comparative modelling to determine the final quality and applicability of his/her cleft models. In addition, the large variability in model quality that we observed within each sequence bin, with good models present even at low sequence identities (between 20% and 30%), indicates that properly developed identification methods could be used to recover good cleft models in this sequence range.XdC acknowledges funding from the Spanish government (Grants BIO2003-09327, BIO2006-15557) and the Wellcome Trust (Research Collaboration Grant 069878/Z/02/Z). DP acknowledges economical support from the Government of Catalonia and SL from the Consejo Superior de Investigaciones Científicas.Peer reviewe

Alternative Splicing of Transcription Factors' Genes: Beyond the Increase of Proteome Diversity

Functional modification of transcription regulators may lead to developmental changes and phenotypical differences between species. In this work, we study the influence of alternative splicing on transcription factors in human and mouse. Our results show that the impact of alternative splicing on transcription factors is similar in both species, meaning that the ways to increase variability should also be similar. However, when looking at the expression patterns of transcription factors, we observe that they tend to diverge regardless of the role of alternative splicing. Finally, we hypothesise that transcription regulation of alternatively spliced transcription factors could play an important role in the phenotypical differences between species, without discarding other phenomena or functional families