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We propose a physiologically based intonation model using perceptual relevance. Motivated by speech synthesis from a speech-to-speech translation (S2ST) point of view, we aim at a language independent way of modelling intonation. The model presented in this paper can be seen as a generalisation of the command response (CR) model, albeit with the same modelling power. It is an additive model which decomposes intonation contours into a sum of critically damped system impulse responses. To decompose the intonation contour, we use a weighted correlation based atom decomposition algorithm (WCAD) built around a matching pursuit framework. The algorithm allows for an arbitrary precision to be reached using an iterative procedure that adds more elementary atoms to the model. Experiments are presented demonstrating that this generalised CR (GCR) model is able to model intonation as would be expected. Experiments also show that the model produces a similar number of parameters or elements as the CR model. We conclude that the GCR model is appropriate as an engineering solution for modelling prosody, and hope that it is a contribution to a deeper scientific understanding of the neurobiological process of intonation.

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Maintenance of vascular access for hemodialysis remains a challenge for every doctor. Exhausted conventional vascular access is the cause for the placement of the central venous catheter in unconventional sites such as enlarged collateral vessels, hepatic veins, hemiazygos, azygos, renal veins, and the inferior vena cava. The percutaneous translumbar catheter for hemodialysis in the inferior vena cava was described over 20 years ago. In this article, we report on the procedure and complications arising from the percutaneous translumbar approach of a hemodialysis catheter. This was done for the first time in N. Macedonia. This approach is a potential option in adults and children when conventional approaches are limited.