output
20092026
most citedThe need to implement FAIR principles in biomolecular simulations

65 citations

Showing 2021Show all

7 papers · 1 filter

astro-ph.SR2021★ 15 cited

Lens parameters for Gaia18cbf -- a long gravitational microlensing event in the Galactic plane

Katarzyna Kruszyńska, Ł. Wyrzykowski, K. A. Rybicki +29

Context: The timescale of a microlensing event scales as a square root of a lens mass. Therefore, long-lasting events are important candidates for massive lenses, including black h…

hep-th2021★ 2 cited

Embedding of rank two supercharges in the superconformal algebra

Pedro D. Alvarez, Rafael A. Chavez, J. Zanelli

We discuss an embedding of rank-two antisymmetric supercharges in the superalgebra, where . We describe an algorithm to construct the explicit f…

eess.SP2021★ 12 cited

Preliminaries on the Accurate Estimation of the Hurst Exponent Using Time Series

Ginno Millán, Román Osorio-Comparán, Gastón Lefranc

This article explores the required amount of time series points from a high-speed computer network to accurately estimate the Hurst exponent. The methodology consists in designing…

gr-qc2021★ 9 cited

Five-dimensional Einstein-Chern-Simons cosmology

Fernando Gómez, Samuel Lepe, Cristian Quinzacara +1

We consider a five-dimensional Einstein-Chern-Simons action which is composed of a gravitational sector and a sector of matter, where the gravitational sector is given by a Chern-S…

eess.SP2021★ 10 cited

On the Hurst Exponent, Markov Processes, and Fractional Brownian Motion

G. Millán

There is much confusion in the literature over Hurst exponent (H). The purpose of this paper is to illustrate the difference between fractional Brownian motion (fBm) on the one han…

stat.AP2021★ 3 cited

Traffic Flows Analysis in High-Speed Computer Networks Using Time Series

G. Millán

This article explores the required amount of time series points from a high-speed traffic network to accurately estimate the Hurst exponent. The methodology consists in designing a…

eess.SP2021★ 4 cited

On the LRD of the Aggregated Traffic Flows in High-Speed Computer Networks

G. Millán

This paper studies and analyses the behavior of the Long-Range Dependence in network traffic after classifying traffic flows in aggregated time series. Following Differentiated Ser…