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Figueiredo P.H.,University of Pernambuco | Moret M.A.,Programa de Modelagem Computacional SENAI Cimatec | Moret M.A.,State University of Feira de Santana | Pascutti P.G.,Federal University of Rio de Janeiro | And 2 more authors.
Physica A: Statistical Mechanics and its Applications

We study the time series of the total energy of polypeptides and proteins. These time series were generated by molecular dynamics methods and analyzed by applying detrended fluctuation analysis to estimate the long-range power-law correlation, i.e. to measure scaling exponents α. Such exponents were calculated for all systems and their values follow environment conditions, i.e., they are temperature dependent and also, in a continuum medium approach, vary according to the dielectric constants (we simulated ε{lunate} = 2 and ε{lunate} = 80). The procedure was applied to investigate polyalanines, and other realistic models of proteins (Insect Defensin A and Hemoglobin). The present findings exhibit results that are consistent with previous ones obtained by other methodologies. © 2010 Elsevier B.V. All rights reserved. Source

Guimaraes R.,Programa de Modelagem Computacional SENAI Cimatec | Noterdaeme P.,CNRS Paris Institute of Astrophysics | Petitjean P.,CNRS Paris Institute of Astrophysics | Ledoux C.,European Southern Observatory | And 3 more authors.
Astronomical Journal

We present the elemental abundance and H 2 content measurements of a damped Lyα (DLA) system with an extremely large H I column density, log N(H I) (cm -2) = 22.0 ± 0.10, at z abs = 3.287 toward the QSO SDSSJ081634+144612. We measure column densities of H 2, C I, C I , Zn II, Fe II, Cr II, Ni II, and Si II from a high signal-to-noise and high spectral resolution VLT-UVES spectrum. The overall metallicity of the system is [Zn/H]= -1.10 ± 0.10 relative to solar. Two molecular hydrogen absorption components are seen at z = 3.28667 and 3.28742 (a velocity separation of 52kms -1) in rotational levels up to J = 3. We derive a total H 2 column density of logN(H 2) (cm -2) = 18.66 and a mean molecular fraction of f = 2N(H 2)/[2N(H 2) + N(H I)] = 10 -3.04 ± 0.37, typical of known H 2-bearing DLA systems. From the observed abundance ratios we conclude that dust is present in the interstellar medium of this galaxy, with an enhanced abundance in the H 2-bearing clouds. However, the total amount of dust along the line of sight is not large and does not produce any significant reddening of the background QSO. The physical conditions in the H 2-bearing clouds are constrained directly from the column densities of H 2 in different rotational levels, C I and C I . The kinetic temperature is found to be T 75K and the particle density lies in the range n H = 50-80cm -3. The neutral hydrogen column density of this DLA is similar to the mean H I column density of DLAs observed at the redshift of γ-ray bursts (GRBs). We explore the relationship between GRB-DLAs and the high column density end of QSO-DLAs finding that the properties (metallicity and depletion) of DLAs with log N(H I) > 21.5 in the two populations do not appear to be significantly different. © 2012 The American Astronomical Society. All rights reserved. Source

Cesar H.V.,Programa de Modelagem Computacional SENAI Cimatec | Guimaraes R.N.,Programa de Modelagem Computacional SENAI Cimatec
Iberian Conference on Information Systems and Technologies, CISTI

Objective: Provide a tool to support the systematization of clinical care in all medical specialties using mobile, pervasive and ubiquitous computing technologies, to assist in the registration/research directly into the patient's bedside. Methods: In this context we used the ubiquitous computing paradigms for managing a relational database from software with open source. Results: Allow interbreeding information promoting research, composition of the patient's history, allows multiuser access between healthcare professionals and reduce the service time in the registration of patient information. Conclusion: The adoption of this technology solution can help: systematize/standardize the data collected in the clinical records, assist in medical reasoning on diagnostic hypotheses, facilitate treatment and monitoring of patients and the optimization of the acquisition, storage, search and use of patient information. © 2013 AISTI. Source

Sant'Anna A.P.,Federal University of Fluminense | de Senna V.,Programa de Modelagem Computacional SENAI Cimatec | de Barros Pereira H.B.,Programa de Modelagem Computacional SENAI Cimatec
International Transactions in Operational Research

This article applies a transformation into probabilities of preference, to rank papers submitted to the XLI Brazilian Symposium of Operational Research. Some 42 papers were divided into sets according to their main topics of interest and measures for 12 attributes were considered, for each paper separately, and also for sets of papers on the same topic, based on the referees' evaluations. Four alternative forms of composition of the probabilistic preferences are illustrated. © 2011 The Authors. International Transactions in Operational Research © 2011 International Federation of Operational Research Societies. Source

Azevedo S.M.,Programa de Modelagem Computacional SENAI Cimatec | Azevedo S.M.,State University of Feira de Santana | Saba H.,Bahia State University | Miranda J.G.V.,Federal University of Bahia | And 3 more authors.
International Journal of Modern Physics C

Dengue is a complex public health problem that is common in tropical and subtropical regions. This disease has risen substantially in the last three decades, and the physical symptoms depict the self-affine behavior of the occurrences of reported dengue cases in Bahia, Brazil. This study uses detrended fluctuation analysis (DFA) to verify the scale behavior in a time series of dengue cases and to evaluate the long-range correlations that are characterized by the power law (Formula presented.) exponent for different cities in Bahia, Brazil. The scaling exponent ((Formula presented.)) presents different long-range correlations, i.e. uncorrelated, anti-persistent, persistent and diffusive behaviors. The long-range correlations highlight the complex behavior of the time series of this disease. The findings show that there are two distinct types of scale behavior. In the first behavior, the time series presents a persistent (Formula presented.) exponent for a one-month period. For large periods, the time series signal approaches subdiffusive behavior. The hypothesis of the long-range correlations in the time series of the occurrences of reported dengue cases was validated. The observed self-affinity is useful as a forecasting tool for future periods through extrapolation of the (Formula presented.) exponent behavior. This complex system has a higher predictability in a relatively short time (approximately one month), and it suggests a new tool in epidemiological control strategies. However, predictions for large periods using DFA are hidden by the subdiffusive behavior. © 2016 World Scientific Publishing Company Source

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