Wrocław University of Technology

About: Wrocław University of Technology is a education organization based out in Wrocław, Poland. It is known for research contribution in the topics: Laser & Fuzzy logic. The organization has 13115 authors who have published 31279 publications receiving 338694 citations.

Hydride generation – recent advances in atomic emission spectrometry

Abstract: This article presents recent advances in the hydride-generation (HG) technique hyphenated with different discharges of the atomic emission spectrometry (AES) [i.e. inductively-coupled plasma (ICP), microwave-induced plasma (MIP), direct-current plasma (DCP) and glow discharge (GD)], serving as excitation sources of hydride-forming elements. It surveys and discusses various aspects of vapour-phase introduction, comprising the instrumentation for performing the reaction, the influence of the chemical reaction conditions, the existence of chemical and non-chemical interference effects and the approaches to eliminating or lessening the interferences, as well as the analytical applications to real samples. In addition, it presents the latest trends in the technique, such as expansion of the scope to some transition and noble metals and the usage of organised surfactant-based media for the enhancement of the reaction properties.

Wavelet analysis of epileptic spikes

Abstract: Interictal spikes and sharp waves in human EEG are characteristic signatures of epilepsy. These potentials originate as a result of synchronous pathological discharge of many neurons. The reliable detection of such potentials has been the long standing problem in EEG analysis, especially after long-term monitoring became common in investigation of epileptic patients. The traditional definition of a spike is based on its amplitude, duration, sharpness, and emergence from its background. However, spike detection systems built solely around this definition are not reliable due to the presence of numerous transients and artifacts. We use wavelet transform to analyze the properties of EEG manifestations of epilepsy. We demonstrate that the behavior of wavelet transform of epileptic spikes across scales can constitute the foundation of a relatively simple yet effective detection algorithm.

On the Cole-Cole relaxation function and related Mittag-Leffler distribution

Abstract: In the framework of the one-dimensional fractal time random walk (FTRW) relaxation model, we rigorously show that the frequency domain response takes, in both nonbiased and biased walks, the only possible Cole-Cole form. The underlying reason for this is the specific form of the relaxation function (the survival probability of a relaxing system) determined in this model by the Mittag-Leffler distribution. We provide also analytical formulas for the propagators of the nonbiased and biased FTRWs.