Internet use for educational purposes: Evidence from Russia

© 2015, Mediterranean Center of Social and Educational Research. All rights reserved. The study sets out to examine empirically the use of Internet in education process in Russia. Socio-demographic determinants of use of Internet for educational purposes, to obtain reference information or to learn the news are studied. The sample represents entire population of Russia. Significant age and gender differences in Internet use for educational purposes are discovered. Influence of satisfaction with financial status on Internet use is weak, while it is the education level of respondents which acts as the most powerful determinant of Internet use for educational purposes

Hierarchical structure of cascade of primary and secondary periodicities in Fourier power spectrum of alphoid higher order repeats

<p>Abstract</p> <p>Background</p> <p>Identification of approximate tandem repeats is an important task of broad significance and still remains a challenging problem of computational genomics. Often there is no single best approach to periodicity detection and a combination of different methods may improve the prediction accuracy. Discrete Fourier transform (DFT) has been extensively used to study primary periodicities in DNA sequences. Here we investigate the application of DFT method to identify and study alphoid higher order repeats.</p> <p>Results</p> <p>We used method based on DFT with mapping of symbolic into numerical sequence to identify and study alphoid higher order repeats (HOR). For HORs the power spectrum shows equidistant frequency pattern, with characteristic two-level hierarchical organization as signature of HOR. Our case study was the 16 mer HOR tandem in AC017075.8 from human chromosome 7. Very long array of equidistant peaks at multiple frequencies (more than a thousand higher harmonics) is based on fundamental frequency of 16 mer HOR. Pronounced subset of equidistant peaks is based on multiples of the fundamental HOR frequency (multiplication factor <it>n </it>for <it>n</it>mer) and higher harmonics. In general, <it>n</it>mer HOR-pattern contains equidistant secondary periodicity peaks, having a pronounced subset of equidistant primary periodicity peaks. This hierarchical pattern as signature for HOR detection is robust with respect to monomer insertions and deletions, random sequence insertions etc. For a monomeric alphoid sequence only primary periodicity peaks are present. The 1/<it>f</it>^{<it>β </it>}– noise and periodicity three pattern are missing from power spectra in alphoid regions, in accordance with expectations.</p> <p>Conclusion</p> <p>DFT provides a robust detection method for higher order periodicity. Easily recognizable HOR power spectrum is characterized by hierarchical two-level equidistant pattern: higher harmonics of the fundamental HOR-frequency (secondary periodicity) and a subset of pronounced peaks corresponding to constituent monomers (primary periodicity). The number of lower frequency peaks (secondary periodicity) below the frequency of the first primary periodicity peak reveals the size of <it>n</it>mer HOR, i.e., the number <it>n </it>of monomers contained in consensus HOR.</p

Internet use for educational purposes: Evidence from Russia

© 2015, Mediterranean Center of Social and Educational Research. All rights reserved. The study sets out to examine empirically the use of Internet in education process in Russia. Socio-demographic determinants of use of Internet for educational purposes, to obtain reference information or to learn the news are studied. The sample represents entire population of Russia. Significant age and gender differences in Internet use for educational purposes are discovered. Influence of satisfaction with financial status on Internet use is weak, while it is the education level of respondents which acts as the most powerful determinant of Internet use for educational purposes

Internet use for educational purposes: Evidence from Russia

© 2015, Mediterranean Center of Social and Educational Research. All rights reserved. The study sets out to examine empirically the use of Internet in education process in Russia. Socio-demographic determinants of use of Internet for educational purposes, to obtain reference information or to learn the news are studied. The sample represents entire population of Russia. Significant age and gender differences in Internet use for educational purposes are discovered. Influence of satisfaction with financial status on Internet use is weak, while it is the education level of respondents which acts as the most powerful determinant of Internet use for educational purposes

Internet use for educational purposes: Evidence from Russia

© 2015, Mediterranean Center of Social and Educational Research. All rights reserved. The study sets out to examine empirically the use of Internet in education process in Russia. Socio-demographic determinants of use of Internet for educational purposes, to obtain reference information or to learn the news are studied. The sample represents entire population of Russia. Significant age and gender differences in Internet use for educational purposes are discovered. Influence of satisfaction with financial status on Internet use is weak, while it is the education level of respondents which acts as the most powerful determinant of Internet use for educational purposes

Method of the Cyclic Decomposition for Revealing the Latent Periodicity in Numerical Rows

A new mathematical approach - method of cyclic decomposition (CD) the has been developed for search of the latent periodicity in numerical rows. The given method is generalization of a method of the information decomposition (ID) developed earlier for symbolical sequences. Quantitative measure of periodicity is the nonparametric statistics counted by criterion of series. The method of cyclic decomposition, as well as a method of information decomposition, is capable to determine strongly dim periodicity in numerical sequences which cannot be found out by means of other known mathematical methods, in particular Fourier transformation. Examples of applications of method CD for the analysis of artificial numerical rows and time series of the financial nature are shown

Method of the Cyclic Decomposition for Revealing the Latent Periodicity in Numerical Rows

A new mathematical approach - method of cyclic decomposition (CD) the has been developed for search of the latent periodicity in numerical rows. The given method is generalization of a method of the information decomposition (ID) developed earlier for symbolical sequences. Quantitative measure of periodicity is the nonparametric statistics counted by criterion of series. The method of cyclic decomposition, as well as a method of information decomposition, is capable to determine strongly dim periodicity in numerical sequences which cannot be found out by means of other known mathematical methods, in particular Fourier transformation. Examples of applications of method CD for the analysis of artificial numerical rows and time series of the financial nature are shown

Application of the Method of Information Decomposition for Revealing the Latent Periodicity in Financial Time Series

In the given work results of search of the latent periodicity in financial time series are presented. For these purposes we used the method of information decomposition (ID) developed earlier for revealing periodicity in symbolical sequences. Application of this method to numerical rows became possible after conversion of numbers in symbols. It is shown, that the method of ID is more sensitive, than the classical approach applied to search of periodicity - Fourier analysis