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According to the extreme value theory, the tail distribution of virtually any statistical distribution can be uniquely modeled by the generalized Pareto distribution. Based on this property, a CFAR detector making no assumption about the distribution of interference is proposed. The parameters of the generalized Pareto distribution can be estimated using the method of L-moments. The performance of the new detector is compared to CA-and Optimized Weibull CFAR detector in the Rayleigh, Weibull and lognormally distributed clutter amplitude.

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The tibiofibular syndesmosis is a ligamentous structure connecting the distal ends of the tibia and fibula. This article presents and compares the available methods of treatment of syndesmosis injuries. Current publications from the online database PubMed and relevant available books are analysed and compared with AO Surgery guidelines. Metal and bioabsorbable syndesmotic screws and the suture button technique, including all possible modifications of these approaches, are compared. The focus is on the technical aspects of the procedures, functional outcomes and complications of these procedures. According to the literature, the best long-term functional outcomes are obtained with the dynamic fixation method involving the suture button. This fixation technique is closest to a physiological connection, there is no need to subsequently remove the implant and return to work is faster. Given all this, the popularity of this fixation technique can be expected to increase dynamically.

According to the extreme value theory, the tail distribution of virtually any statistical distribution can be uniquely modeled by the generalized Pareto distribution. Based on this property it is possible to approximate the tail of the radar clutter distribution and develop a distribution-independent CFAR detector. In the paper the multiplicative clutter model is considered. Correlated clutter intensity with exponential, 0 I G and K I distribution is simulated. The correlation is introduced by lowpass filtering of the clutter speckle component. It is showed using the chi-square goodness-of-fit test that the tail of the correlated clutter can be well approximated by the generalized Pareto distribution.