[The use of a urethral catheter with an ultrasound-induced biopolymer drug coating for the prevention of recurrent bladder neck sclerosis in patients after endoscopic treatment of benign prostate hyperplasia].

Recurrent bladder neck sclerosis is one of the common complications of endoscopic treatment of benign prostate hyperplasia, which often leads to multiple re-operations, including complex open and laparoscopic reconstructive procedures. One of the most promising minimally invasive methods for preventing recurrence of bladder neck sclerosis is balloon dilatation under transrectal ultrasound guidance. To improve the results of using this technique, a urethral catheter with a biopolymer coating, capable of depositing a drug and eluting it under the influence of diagnostic ultrasound, was proposed.

Characterizing scaling properties of complex signals with missed data segments using the multifractal analysis.

The scaling properties of complex processes may be highly influenced by the presence of various artifacts in experimental recordings. Their removal produces changes in the singularity spectra and the Hölder exponents as compared with the original artifacts-free data, and these changes are significantly different for positively correlated and anti-correlated signals. While signals with power-law correlations are nearly insensitive to the loss of significant parts of data, the removal of fragments of anti-correlated signals is more crucial for further data analysis. In this work, we study the ability of characterizing scaling features of chaotic and stochastic processes with distinct correlation properties using a wavelet-based multifractal analysis, and discuss differences between the effect of missed data for synchronous and asynchronous oscillatory regimes. We show that even an extreme data loss allows characterizing physiological processes such as the cerebral blood flow dynamics.