Applications (PFDA) is an international peer-reviewed, and interdisciplinary journal publishing original and high quality manuscripts in the emerging field of fractional differentiation, its generalization and their huge potential applications in the fields of science and engineering. The scope of the PFDA covers all theoretical and experimental aspects of the fractional differentiation and related approaches. Reviews, letters and original research articles dealing with topics as fractional and integral equations, fractional discrete calculus and fractional dynamics are welcome. The original submissions concerning both theoretical and the applications of fractional differentiation in numerical analysis, mathematical analysis, signal analysis, bifurcations, statistics, data analysis, time series analysis,chaos, bioengineering, economics, finance, fractal theory, optics, control systems, artificial intelligence, fractional differential equations with uncertainty, mathematical biology and nanotechnology are encouraged.