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Your search keyword '"Flávia M. Ruziska"' showing total 4 results
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4 results on '"Flávia M. Ruziska"'

1. Integrating Computational Methods to Investigate the Macroecology of Microbiomes

Author

Rilquer Mascarenhas, Flávia M. Ruziska, Eduardo Freitas Moreira, Amanda B. Campos, Miguel Loiola, Kaike Reis, Amaro E. Trindade-Silva, Felipe A. S. Barbosa, Lucas Salles, Rafael Menezes, Rafael Veiga, Felipe H. Coutinho, Bas E. Dutilh, Paulo R. Guimarães, Ana Paula A. Assis, Anderson Ara, José G. V. Miranda, Roberto F. S. Andrade, Bruno Vilela, and Pedro Milet Meirelles

Subjects
microbial community modeling, microbial macroecology, spatial scales, machine learning, co-occurrence networks, Genetics, QH426-470
Abstract

Studies in microbiology have long been mostly restricted to small spatial scales. However, recent technological advances, such as new sequencing methodologies, have ushered an era of large-scale sequencing of environmental DNA data from multiple biomes worldwide. These global datasets can now be used to explore long standing questions of microbial ecology. New methodological approaches and concepts are being developed to study such large-scale patterns in microbial communities, resulting in new perspectives that represent a significant advances for both microbiology and macroecology. Here, we identify and review important conceptual, computational, and methodological challenges and opportunities in microbial macroecology. Specifically, we discuss the challenges of handling and analyzing large amounts of microbiome data to understand taxa distribution and co-occurrence patterns. We also discuss approaches for modeling microbial communities based on environmental data, including information on biological interactions to make full use of available Big Data. Finally, we summarize the methods presented in a general approach aimed to aid microbiologists in addressing fundamental questions in microbial macroecology, including classical propositions (such as “everything is everywhere, but the environment selects”) as well as applied ecological problems, such as those posed by human induced global environmental changes.

Published
2020
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2. Synchronization and attractors in a model simulating social jetlag

Author

Iberê L. Caldas and Flávia M. Ruziska

Subjects
Sequence, Bistability, Computer science, ESTABILIDADE DE SISTEMAS, General Mathematics, Applied Mathematics, Chaotic, General Physics and Astronomy, Statistical and Nonlinear Physics, 01 natural sciences, Nonlinear Sciences - Adaptation and Self-Organizing Systems, 010305 fluids & plasmas, Nonlinear system, Control theory, 0103 physical sciences, Synchronization (computer science), Attractor, Set (psychology), Control parameters, 010301 acoustics
Abstract

Much work has been done to investigate social jetlag, a misalignment between the biological clock and the social agenda caused by exposition to different light inputs, that causes several health issues. To investigate synchronization and attractors due to a sequence of light inputs, we introduce an extension of a model, previously used to describe jetlag caused by a single change in the light input. The synchronization to the light input is sensitive to the control parameters of the system and to the light input periods. Depending on the parameter set, the observed synchronization is with one or another successive light input. Most of the solutions have the period of a light input. However, for some parameters, we also observed higher period, chaotic solutions, and bistability., Comment: article 21 pages 8 figures, supplementary material 10 pages, 7 figures

Published
2021

3. Stochastic dynamics for two biological species and ecological niches

Author

Tânia Tomé, Flávia M. Ruziska, and Everaldo Arashiro

Subjects
Statistics and Probability, education.field_of_study, Stochastic modelling, Monte Carlo method, Population, Population biology, Condensed Matter Physics, 01 natural sciences, Square lattice, Birth–death process, 010305 fluids & plasmas, 0103 physical sciences, Master equation, Quantitative Biology::Populations and Evolution, Dominance (ecology), Statistical physics, 010306 general physics, education, Mathematics
Abstract

We consider an ecological system in which two species interact with two niches. To this end we introduce a stochastic model with four states. Our analysis is founded in three approaches: Monte Carlo simulations of the model on a square lattice, mean-field approximation, and birth and death master equation. From this last approach we obtain a description in terms of Langevin equations which show in an explicit way the role of noise in population biology. We focus mainly on the description of time oscillations of the species population and the alternating dominance between them. The model treated here may provide insights on these properties.

Published
2018

4. Susceptible–infected–recovered model with recurrent infection

Author

Mário J. de Oliveira, Tânia Tomé, and Flávia M. Ruziska

Subjects
Statistics and Probability, Recurrent infections, Renormalization group, Condensed Matter Physics, 01 natural sciences, Directed percolation, 010305 fluids & plasmas, Susceptible individual, Percolation, 0103 physical sciences, Statistical physics, MECÂNICA ESTATÍSTICA, 010306 general physics, Epidemic model, Lattice model (physics), Mathematics
Abstract

We analyze a stochastic lattice model describing the spreading of a disease among a community composed by susceptible, infected and removed individuals. A susceptible individual becomes infected catalytically. An infected individual may, spontaneously, either become recovered, that is, acquire a permanent immunization, or become again susceptible. The critical properties including the phase diagram is obtained by means of mean-field theories as well as numerical simulations. The model is found to belong to the universality class of dynamic percolation except when the recovering rate vanishes in which case the model belongs to the directed percolation universality class.

Published
2017

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