902 resultados para Prisons in art.
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Análisis de la situación actual de la planificación urbana en España
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The observation of light metal ions in nucleic acids crystals is generally a fortuitous event. Sodium ions in particular are notoriously difficult to detect because their X-ray scattering contributions are virtually identical to those of water and Na+…O distances are only slightly shorter than strong hydrogen bonds between well-ordered water molecules. We demonstrate here that replacement of Na+ by K+, Rb+ or Cs+ and precise measurements of anomalous differences in intensities provide a particularly sensitive method for detecting alkali metal ion-binding sites in nucleic acid crystals. Not only can alkali metal ions be readily located in such structures, but the presence of Rb+ or Cs+ also allows structure determination by the single wavelength anomalous diffraction technique. Besides allowing identification of high occupancy binding sites, the combination of high resolution and anomalous diffraction data established here can also pinpoint binding sites that feature only partial occupancy. Conversely, high resolution of the data alone does not necessarily allow differentiation between water and partially ordered metal ions, as demonstrated with the crystal structure of a DNA duplex determined to a resolution of 0.6 Å.
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In the past decade, tremendous advances in the state of the art of automatic speech recognition by machine have taken place. A reduction in the word error rate by more than a factor of 5 and an increase in recognition speeds by several orders of magnitude (brought about by a combination of faster recognition search algorithms and more powerful computers), have combined to make high-accuracy, speaker-independent, continuous speech recognition for large vocabularies possible in real time, on off-the-shelf workstations, without the aid of special hardware. These advances promise to make speech recognition technology readily available to the general public. This paper focuses on the speech recognition advances made through better speech modeling techniques, chiefly through more accurate mathematical modeling of speech sounds.
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Art therapy is an increasingly popular treatment modality with various mental health professionals; however, despite its increasing popularity and utilization, the field suffers from a continued lack of empirically validated studies that demonstrate its effectiveness. Thus, this study performed a meta-analysis on studies that utilized therapeutic art interventions with depressive symptoms in order to produce an overall effect size (ES) regarding the effectiveness of art therapy on depression. Additionally, this study attempted to determine moderating factors that might influence the magnitude of the ES. The present meta-analysis included 18 published and unpublished studies that produced a significant (p=0.001) ES of -1.10 (95% Confidence Interval (CI) of -1.64 to -0.56), thus demonstrating that art therapy has a large effect on the reduction of depression-related symptoms in participants. The results of this analysis are comparable to other meta-analyses of psychotherapeutic treatments for depression (Mazzucchelli, Kane, & Rees, 2009; Gloaguen, Cottraux, Cucherat, & Blackburn, 1998; Cuijper, van Straten, Andersson, & van Oppen, 2008). This study also covers clinically relevant issues regarding treating depression with art therapy and makes recommendations for further research.