Информационные технологии в структуре идентичности человека: возможности и ограничения рисуночной методики
In contemporary world information technologies (Internet, mobile phones, TV) serve as an essential part of human life, through which the whole range of his interests and activities is refracted. Researchers suggest that the information technologies are associated with a reduction in the role of families and direct interpersonal communication in the formation of the personality, as well as with changes in the role of values and the difficulty of identification. In this paper, we use graphic methodic to assess perception of technologies. We demonstrate that after taking into account the individual drawing style of respondents, the proximity of technological objects to the "Self" has been associated with a large distance between family, personality traits, interests, values to the "Self". Close patterns of results were obtained on two samples of students and adults (n1 = 161 and n2 = 123) for the three objects - the Internet, mobile phone and TV. A deeper analysis of graphical methodic shows that this result should be interpreted in general terms of personal relationship to various spheres and aspects of her life, whereas psychological content and consequences of changes in the structure of objects should be further studied. Moreover, identification with the Internet, mobile phones and TV do not mediates relationships between subjective distance of the family from the “Self” and subjective well-being / ill-being and coping. The possibilities and limitations of the use of graphical methodic to assess perception of technologies are discussed.
This manuscript explores alternatives to the currently dominant model of political identification with a nation (nation-state), namely versions of civilizational, cosmopolitan and identification. In the course of the research author concludes that transnational identification can not become a solution to the problem of “identity crisis” for large political communities. However, the theoretical investigation of this form of identification may be relevant to the life strategies of single individuals who face existence under the dominant political order of the nation-state, despite the fact that their practices in a global world has already gone beyond national borders.
The monograph may be of interest to students in the field of political theory, international relations and philosophy, as well as a wide range of readers ingaged in a problem of the construction of political identities in the era of globalization.
The paper deals with the algorithm of the identification of discrete systems with variable delay, consisting of an ideal sampler, zero-order hold and the linear continuous part. The delay parameter (fractional part of time delay) is estimated through the inverse modified Z-transform. The estimation is based on the equality of the continuous-time part step response to zero at the time delay point. The time delay of the discrete system (integer component) is adjusted by means of the integer part of the estimate obtained.
Preface International conference “Data Analytics and Management in Data Intensive Domains” (DAMDID/RCDL’2015) of this year is held on October 13 – 16 in the town of Obninsk, Kaluga region of the Russian Federation. The conference is hosted by the Obninsk education Institute for Nuclear Power Engineering affiliated with the National Research University MEPhI. Obninsk is the first town of science created in USSR in which now many academic and research centers dealing with intensive data analysis in various fields (nuclear physics, modern medicine, oncology, radiology, geophysics, meteorology) are located. «Data Analytics and Management in Data Intensive Domains» conference (DAMDID) is planned as an interdisciplinary forum of researchers and practitioners from various domains of science and research promoting cooperation and exchange of ideas in the area of data analysis and management in data intensive domains. Approaches to data analysis and management being developed in specific data intensive domains of X-informatics (such as X = astro, bio, chemo, geo, medicine, neuro, physics, etc.), social sciences, as well as in various branches of informatics, industry, new technologies, finance and business are expected to contribute to the conference content. The program of the DAMDID/RCDL’2015 conference alongside with traditional data management topics reflects a rapid move into the direction of data science and data intensive analytics. Three conference keynotes form the pivot of the conference program. In the keynote of Peter Wittenburg (Max Planck Data and Compute Center) that opens the conference a survey of the current projects on development of data infrastructures enabling data intensive sciences is given. The second day of the conference is open by the keynote of David Pease (IBM Almaden Research Center). This talk considers objectives and experience of the recently organized IBM Research Lab specifically designed to facilitate complex analytic projects by tackling the challenges of data-intensive scientific discovery. Finally the program of the third day starts with the keynote by Michael Brodie (CSAIL Lab, MIT) in which the author gives analysis and characteristics of the data science as an emerging discipline for data intensive discovery. Three plenary sessions of the conference can be reckoned as the points of reference of the conference program pivot formed by the keynotes. These are: the invited session on IBM Cognitive Systems with Watson System solutions overview and Watson application examples, particularly in medicine; the panel prepared by the researchers from the eight scientific institutes of the RF devoted to the data access challenges for data intensive research in Russia; and the last session of the conference considering infrastructure solutions intended for support of scientific data and processes. More than 40 presentations at the scientific sessions at the twelve scientific sessions of the conference cover the problems of data heterogeneity and integration, information extraction from the multistructured data, subject domains modeling (including formation of knowledge bases in medicine), efficiency of computations, semantics of the large textual collections, as well as the specificity of the systems for data analysis (separate session is devoted to the problems of big data analysis in physics), approaches for data intensive problems solving. The majority of these presentations reflect the results of research made in the research institutes, centers and universities located at the different places on the territory of Russia, including: Briansk, Chernogolovka, Dubna, Irkutsk, Jaroslavl, Kazan, Moscow, Nizhny Novgorod, Novosibirsk, Obninsk, Omsk, Pereslavl Zalessky, Saint Petersburg, Tomsk, Chelyabinsk, Vladivostok. Besides that, the conference includes also several associated events, such as the tutorial on large-scale statistics with MonetDB and R (organized by Hannes Mühleisen (Amsterdam University); PhD Workshop that includes ten talks related to PhD researches and starts with the keynote by Michael Brodie (CSAIL Lab, MIT) entitled “A 21st Century Applied Computer Science PhD “; open workshop devoted to the social network data analysis. Special features of the conference DAMDID/RCDL’2015 organization (comparing to previous RCRDL conferences) include creation of a new site as well as transfer to the CMT system use. The chairs of the Program Committee and Organizing Committee of DAMDID/RCDL’2015 express their gratitude to Alexey Vovchenko for the development of the conference site and to Nikolay Skvortsov for the qualified application of the CMT at all stages of the conference preparation. The chairs of the Organizing Committee and Program Committee of DAMDID/RCDL’2015 express their gratitude to the authors of the submissions as well as to the Russian Foundation for Basic Research and the Department of Nanotechnologies and Information Technologies of the Russian Academy of Sciences for the support of the Conference. The Coordinating committee of the DAMDID/RCDL conferences thanks Director and employees of the Institute for Nuclear Power Engineering of the National Research Nuclear University MEPhI for their hard and responsible work on preparing and carrying out of the Conference as well as the members of the Program Committee for their important work on reviewing and selection of submissions. Co-chairs of the Program committee Co-chairs of the Organizing committee Leonid A. Kalinichenko Natalia G. Ayrapetova (IPI FRC CSC RAS) (INPE NRNU MEPhI) Sergey O. Starkov Victor N. Zakharov (INPE NRNU MEPhI) (IPI FRC CSC RAS)
The distractive effects on attentional task performance in different paradigms are analyzed in this paper. I demonstrate how distractors may negatively affect (interference effect), positively (redundancy effect) or neutrally (null effect). Distractor effects described in literature are classified in accordance with their hypothetical source. The general rule of the theory is also introduced. It contains the formal prediction of the particular distractor effect, based on entropy and redundancy measures from the mathematical theory of communication (Shannon, 1948). Single- vs dual-process frameworks are considered for hypothetical mechanisms which underpin the distractor effects. Distractor profiles (DPs) are also introduced for the formalization and simple visualization of experimental data concerning the distractor effects. Typical shapes of DPs and their interpretations are discussed with examples from three frequently cited experiments. Finally, the paper introduces hierarchical hypothesis that states the level-fashion modulating interrelations between distractor effects of different classes.
This article describes the expierence of studying factors influencing the social well-being of educational migrants as mesured by means of a psychological well-being scale (A. Perrudet-Badoux, G.A. Mendelsohn, J.Chiche, 1988) previously adapted for Russian by M.V. Sokolova. A statistical analysis of the scale's reliability is performed. Trends in dynamics of subjective well-being are indentified on the basis the correlations analysis between the condbtbions of adaptation and its success rate, and potential mechanisms for developing subjective well-being among student migrants living in student hostels are described. Particular attention is paid to commuting as a factor of adaptation.