Monitoring a chemical reaction using pH measurements: An approach based on multiscale fractal analysis

A fractal scaling analysis of the SARS-CoV-2 genome sequence

“…The DFA allows the detection of intrinsic self-similarity embedded in a seemingly nonstationary time series, and also avoids the spurious detection of apparent self-similarity, which may be an artifact of extrinsic trends. These features have made the DFA the most widely used approach for the fractal analysis of complex time series in a large diversity of fields, from geophysics [10] and financial systems [11] to biology [12] , physiology [13] and chemistry [14] , [15] , and provides an easy interpretation of fluctuation patterns in terms of scaling exponents.…”