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WOS:000352520800035, Doğumsal amfizem, yenidoğanlarda ilgili akciğer alanının hiperinflasyonu, amfizematöz akciğer alanının çevredeki normal akciğer dokusuna basısı ve mediastinal kayma ile karakterizedir. Skolyoz ise vertebraların yana doğru eğrildiği bir durumdur. Skolyoza neden olan birçok etken olmasına rağmen, bildiğimiz kadarıyla literatürde amfizeme sekonder gelişen skolyoz bildirilmemiştir. Bu yazıda, doğumsal pulmoner amfizeme bağlı geliştiğini düşündüğümüz bir skolyoz olgusu sunuldu., Congenital emphysema is characterized by the hyperinflation of related lung field, compression of emphysematous lung space to the adjacent normal lung tissue, and mediastinal shift in neonatals. Scoliosis is a condition in which vertebrae are curved laterally. Although there are many factors causing scoliosis, to our knowledge, scoliosis developing secondary to emphysema was not reported in the literature. In this article, we present a scoliosis case which we believe developed due to congenital pulmonary emphysema.

In this paper, we propose a new approach for dynamic speech spectrum representation and tracking vocal tract resonance (VTR) frequencies. The method involves representing the spectral density of the speech signals as a mixture of Gaussians with unknown number of components for which time-varying Dirichlet process mixture model (DPM) is utilized. In the resulting representation, the number of formants is allowed to vary in time. The paper first presents an analysis on the continuity of the formants in the spectrum during the speech utterance. The analysis is based on a new state space representation of concatenated tube model. We show that the number of formants which appear in the spectrum is directly related to the location of the constriction of the vocal tract (i.e., the location of the excitation). Moreover, the disappearance of the formants in the spectrum is explained by "uncontrollable modes" of the state space model. Under the assumption of existence of varying number of formants in the spectrum, we propose the use of a DPM model based multi-target tracking algorithm for tracking unknown number of formants. The tracking algorithm defines a hierarchical Bayesian model for the unknown formant states and the inference is done via Rao-Blackwellized particle filter.