The omitting presence of a baseline (background, systemic noise, mobile phase) in liquid chromatography-mass spectrometry (LC-MS) measurements impedes objective analysis. Therefore, there is a demand to remove its contribution from the signal response. Elimination of baseline contribution is justified by increasing the data mining output, both qualitatively and quantitatively. Behavior of the baseline content is not perfectly constant on the time axis, and it is often necessary to experiment with gradient changes. However, the behavior could be parametrized using a technique derived from statistical moments. In this article, we propose adaptive thresholding as an unsupervised method for baseline removal from the measurement data. Results of a real analyte measurement are discussed to illustrate its efficiency.
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The little-known work by Ludwig Heinrich Jeitteles (1830-1883) on the 1858 Žilina strong earthquake in the Carpathian Mountains is commemorated and analysed. Besides his detailed macroseismic analysis of the earthquake – including the construction of isoseismal lines according to local macroseismic reports – Jeitteles was the first to superimpose the macroseismic field over a generalized geological map, which enabled him to describe the earthquake effects in relation to the geo-logical structure of the affected region. These achievements allow us to acknowledge L.H. Jeitteles as one of founding fathers of seismological research of midnineteen century.
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