Výsledky vyhledávání - "Lage Castellanos, A."

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Opinion formation by belief propagation: A heuristic to identify low-credible sources of information

Autor: Fenoaltea, Enrico Maria, Lage-Castellanos, Alejandro

With social media, the flow of uncertified information is constantly increasing, with the risk that more people will trust low-credible information sources. To design effective strategies against this phenomenon, it is of paramount importance to unde

Externí odkaz: http://arxiv.org/abs/2307.03278

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City path tomography: reconstructing square road network from artificial users mobile phone data

Autor: Lorenzo, Andy Rodriguez, Lage-Castellanos, Alejandro

Publikováno v: Cuban Journal of Physics, 1, 2023

Population mobility can be studied readily and cheaply using cellphone data, since people's mobility can be approximately mapped into tower-mobile registries. We model people moving in a grid-like city, where edges of the grid are weighted and paths

Externí odkaz: http://arxiv.org/abs/2303.00840

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Akademický článek

Mother adversity and co-residence time impact mother–child similarity in genome-wide and gene-specific methylation profiles

Autor: Lucía Labaut, Agustín Lage-Castellanos, María José Rodrigo, Silvia Herrero-Roldán, Colter Mitchell, Jonah Fisher, Inmaculada León

Publikováno v: Clinical Epigenetics, Vol 16, Iss 1, Pp 1-12 (2024)

Abstract Background The effects of adverse life events on physical and psychological health, with DNA methylation (DNAm) as a critical underlying mechanism, have been extensively studied. However, the epigenetic resemblance between mother and child i

Externí odkaz: https://doaj.org/article/c6b2913402fa450a9fb1d745e3aa35d7

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Ancestral Sequence Reconstruction for Co-evolutionary models

Autor: Horta, Edwin Rodríguez, Lage-Castellanos, Alejandro, Mulet, Roberto

The ancestral sequence reconstruction problem is the inference, back in time, of the properties of common sequence ancestors from measured properties of contemporary populations. Standard algorithms for this problem assume independent (factorized) ev

Externí odkaz: http://arxiv.org/abs/2108.03801

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Estimating undocumented Covid-19 infections in Cuba by means of a hybrid mechanistic-statistical approach

Autor: Gil, Gabriel, Lage-Castellanos, Alejandro

We adapt the hybrid mechanistic-statistical approach of Ref. [1] to estimate the total number of undocumented Covid-19 infections in Cuba. This scheme is based on the maximum likelihood estimation of a SIR-like model parameters for the infected popul

Externí odkaz: http://arxiv.org/abs/2008.03332

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Dynamics of epidemic models from cavity master equations

Autor: Ortega, Ernesto, Machado, David, Lage-Castellanos, Alejandro

We apply the cavity master equation (CME) approach to epidemics models. We explore mostly the susceptible-infectious-susceptible (SIS) model, which can be readily treated with the CME as a two-state. We show that this approach is more accurate than i

Externí odkaz: http://arxiv.org/abs/2006.15881

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Multiple penalized least squares and sign constraints with modified Newton-Raphson algorithms: application to EEG source imaging

Autor: Vega-Hernández, Mayrim, Sánchez-Bornot, José M., Lage-Castellanos, Agustín, Pérez-Hidalgo-Gato, Jhoanna, Palmero-Ledón, Darío, Alvarez-Iglesias, José E., García-Agustin, Daysi, Martínez-Montes, Eduardo, Valdés-Sosa, Pedro A.

Multiple penalized least squares (MPLS) models are a flexible approach to find adaptive least squares solutions required to be simultaneously sparse and smooth. This is particularly important when addressing real-life inverse problems where there is

Externí odkaz: http://arxiv.org/abs/1911.01961

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