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Supplementary code for the article: Minimum Modulus Visualization of Algebraic Fractals
No full textDescription of the dataset
Fractals are a family of shapes formed by irregular and fragmented patterns. They can be classified into two main groups: geometric and algebraic. Whereas the former are characterized by a fixed geometric replacement rule, the latter are defined by a recurrence function in the complex plane. The classical method for visualizing algebraic fractals considers the sequence of complex numbers originated from each point in the complex plane. Thus, each original point is colored depending on whether its generated sequence escapes to infinity. The present work introduces a novel visualization method for algebraic fractals. This method colors each original point by taking into account the complex number with minimum modulus within its generated sequence. The advantages of the novel method are twofold: on the one hand, it preserves the fractal view that the classical method offers of the escape set boundary and, on the other hand, it additionally provides interesting visual details of the prisoner set (the complement of the escape set). The novel method is comparatively evaluated with other classical and non-classical visualization methods of fractals, giving rise to aesthetic views of prisoner sets.</p
Estimation of life expectancies for the dependent population in Spain
No full textEstimation of the total and dependency-free life expectancy for the dependent population in Spain. Using this information, it is intended to obtain the premium for a private insurance policy that would cover these contingencies. (Project: Statistical assessment of risk factors in the dependent population in Spai
Absell-Federico-Tena World Trade Historical Database 1948-2020 : Central African Republic
No full textProject developed by Christopher Absell (University Gothenburg and Instituto Figuerola) Giovanni Federico (New York University Dubai) and Antonio Tena Junguito (Universidad Carlos III de Madrid and Instituto Figuerola). Dataset: Central African Republi
Absell-Federico-Tena World Trade Historical Database 1948-2020 : Poland
No full textProject developed by Christopher Absell (University Gothenburg and Instituto Figuerola) Giovanni Federico (New York University Dubai) and Antonio Tena Junguito (Universidad Carlos III de Madrid and Instituto Figuerola). Dataset: Polan
Absell-Federico-Tena World Trade Historical Database 1948-2020 : Pakistan
No full textProject developed by Christopher Absell (University Gothenburg and Instituto Figuerola) Giovanni Federico (New York University Dubai) and Antonio Tena Junguito (Universidad Carlos III de Madrid and Instituto Figuerola). Dataset: Pakista
Absell-Federico-Tena World Trade Historical Database 1948-2020 : Botswana
No full textProject developed by Christopher Absell (University Gothenburg and Instituto Figuerola) Giovanni Federico (New York University Dubai) and Antonio Tena Junguito (Universidad Carlos III de Madrid and Instituto Figuerola). Dataset: Botswan
Absell-Federico-Tena World Trade Historical Database 1948-2020 : Mali
No full textProject developed by Christopher Absell (University Gothenburg and Instituto Figuerola) Giovanni Federico (New York University Dubai) and Antonio Tena Junguito (Universidad Carlos III de Madrid and Instituto Figuerola). Dataset: Mal
Determination of atropine and scopolamine in honey using a miniaturized polymer-based solid-phase extraction protocol prior to the analysis by HPLC-MS/MS
No full textThis database includes the information of the samples used in the study, as well as the characterization of the synthesyzed polymers. Also includes the results obtained for the optimization of the solid-phase extraction procedure and the validation of this methodology, the reusability and sustainability studies properties of the prepared functionalised mesostructured silicas. Then, the comparison of the conditions between other authors and the current work. Finally, the concentrations of atropine and scopolamine found in the honey samples using the proposed analytical methodology
Absell-Federico-Tena World Trade Historical Database 1948-2020 : Sierra Leone
No full textProject developed by Christopher Absell (University Gothenburg and Instituto Figuerola) Giovanni Federico (New York University Dubai) and Antonio Tena Junguito (Universidad Carlos III de Madrid and Instituto Figuerola). Dataset: Sierra Leon
Absell-Federico-Tena World Trade Historical Database 1948-2020 : Nicaragua
No full textProject developed by Christopher Absell (University Gothenburg and Instituto Figuerola) Giovanni Federico (New York University Dubai) and Antonio Tena Junguito (Universidad Carlos III de Madrid and Instituto Figuerola). Dataset: Nicaragu