¿Presencia del español en el paisaje urbano de Washington D.F.? Un estudio del paisaje lingüístico mediado por Internet

Objetivo de esta comunicación es presentar los resultados sobre un análisis realizado en torno a lo que podemos denominar el «paisaje lingüístico hispano virtual» en Washington D.F. Los estudios sobre paisaje lingüístico han experimentado en el último tiempo un verdadero boom, sobre todo como reflejo de la convivencia de diferentes culturas con sus respectivas lenguas y variedades en las urbes del siglo XXI. En efecto: el paisaje lingüístico multilingüe es uno de los aspectos más explotados en trabajos en esta línea teórica. En este estudio el centro de atención no es el paisaje "real", documentado in situ y captado motu propio en instantáneas por nuestros aparatos fotográficos, sino el paisaje lingüístico mediatizado por el ordenador y difundido mediante la World Wide Web. En este sentido, lo que nos interesa es si se ve reflejada y qué manera la hispanidad en Washington D.F. a través del paisaje urbano que nos ofrecen programas especializados como Google Earth y Google Street View. Con este objetivo proponemos un paseo virtual por Washington D.F. y sus diferentes barrios para analizar mediante un estudio de naturaleza cuantitativa y cualitativa, apoyándonos en las herramientas teóricas y metodológicas que ofrecen los estudios de paisaje lingüístico y de la Comunicación Mediada por Ordenadores, de qué manera lo hispano constituye un engranaje del paisaje lingüístico de esta ciudad.

Human temporal bones versus mechanical model to evaluate three middle ear transducers

A life-size mechanical middle ear model and human temporal bones were used to evaluate three different middle ear transducers for implantable hearing aids: the driving rod transducer (DRT), the floating mass transducer (FMT) or vibrant sound bridge, and the contactless transducer (CLT). Results of the experiments with the mechanical model were within the range of the results for human temporal bones. However, results with the mechanical model showed better reproducibility. The handling of the mechanical model was considerably simpler and less time-consuming. Systematic variations of mounting parameters showed that the angle of the rod has virtually no effect on the output of the DRT, the mass loading on the cable of the FMT has a larger impact on the output than does the tightness of crimping, and the output level of the CLT can be increased by 10 dB by optimizing the mounting parameters.

UPLC-ESI-TOFMS-based metabolomics and gene expression dynamics inspector self-organizing metabolomic maps as tools for understanding the cellular response to ionizing radiation

Global transcriptomic and proteomic profiling platforms have yielded important insights into the complex response to ionizing radiation (IR). Nonetheless, little is known about the ways in which small cellular metabolite concentrations change in response to IR. Here, a metabolomics approach using ultraperformance liquid chromatography coupled with electrospray time-of-flight mass spectrometry was used to profile, over time, the hydrophilic metabolome of TK6 cells exposed to IR doses ranging from 0.5 to 8.0 Gy. Multivariate data analysis of the positive ions revealed dose- and time-dependent clustering of the irradiated cells and identified certain constituents of the water-soluble metabolome as being significantly depleted as early as 1 h after IR. Tandem mass spectrometry was used to confirm metabolite identity. Many of the depleted metabolites are associated with oxidative stress and DNA repair pathways. Included are reduced glutathione, adenosine monophosphate, nicotinamide adenine dinucleotide, and spermine. Similar measurements were performed with a transformed fibroblast cell line, BJ, and it was found that a subset of the identified TK6 metabolites were effective in IR dose discrimination. The GEDI (Gene Expression Dynamics Inspector) algorithm, which is based on self-organizing maps, was used to visualize dynamic global changes in the TK6 metabolome that resulted from IR. It revealed dose-dependent clustering of ions sharing the same trends in concentration change across radiation doses. "Radiation metabolomics," the application of metabolomic analysis to the field of radiobiology, promises to increase our understanding of cellular responses to stressors such as radiation.