Mobile healthcare: Perspectives in Russia
This paper analyses the possibility of using mobile technologies and applications in the Russian healthcare system and evaluates the opportunities for its further development. The research provides an overview of global trends in digital healthcare with some examples of the best solutions for eHealth (healthcare practice supported by electronic processes and communication). An analysis is made of the Russian medical system in order to identify the main stages of its formation, achievements and areas for improvement. The authors also conducted research into the current Russian medical healthcare system aimed at identifying gaps and concerns regarding security, reliability and service availability for on-line and mobile services and personal health records in Russia. Certain diffi culties in the establishment of an up-to-date healthcare system in Russia with examples of barriers are also analyzed to get a better understanding of the prospects for mobile healthcare development. Starting from the premise that support for information technologies is essential to medical healthcare development, the paper gives an overview of the current IT initiatives of the Russian government in the fi eld of medicine and provides examples of the independent applications of Russian software developers for digital and mobile healthcare. As a result of the research, three possible development scenarios of Russian mobile healthcare are described. The barriers identifi ed as well as worldwide healthcare transformation aspects such as cost reduction and personalization are considered in the possible scenarios.
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.
The aim of the research was to point out main trends of m-learning spreading around the world and to analyze perspectives of educational m-services implementation in Russian Higher Schools. The core part of the paper is the description of a show-case “Mobile Student” which took place in Moscow State University. The most valuable scientific output of the research is the analysis of data which were obtained thanks to the student satisfaction survey. To carry out that survey the special questionnaire was created and several hypotheses were suggested. Having a great empiric base a common strategy of m-services project implementation was composed and two types of factors which were hindering or helping us to gain high level of student satisfaction were found out.
Background: Despite the constitutional right of all Russian citizens to free medical care, out-of-pocket payment is a widespread phenomenon for all types of medical treatment. The aims of this paper are twofold: To present new evidence on the use of, and payment for, outpatient and inpatient treatment in Russia; and to compare the motivations behind both official and informal payments for outpatient services provided in public medical institutions. Methods: This study uses data from a quantitative household survey conducted in April 2014. The sample comprised 1602 individuals aged ⩾ 18 years, representing the entire adult population of the Russian Federation. We studied three types of medical care: inpatient treatment, outpatient treatment and medicines. Results: Our study found that 22.2% of patients pay for outpatient services, 37.5% pay for inpatient services and 91.5% pay for outpatient medicinal treatment. The informal payments are almost equally met in both outpatient (13.4%) and inpatient (12.2%) care; while the official payments are more common in inpatient care (25.2%), compared to outpatient care (8.8%). The main reasons for informal payment include: improvements in the quality of care and gratitude for medical staff. The official payments are more frequently motivated by an inability to receive a certain treatment free of charge. Conclusions: This study demonstrates that both official and informal payments for medical treatment are widespread in Russia: Informal payments are strongly preferred over official payments for outpatient care, while official payments dominate in inpatient care.
Moscow has unique context for smart city development. Historical background, cultural heritage were reflected strongly in Moscow urban planning process. The key idea and a challenge for Moscow Government is to control and manage effectively city infrastructure by saving costs and bringing new quality. Department of Information Technologies plays a key role in this goal implementation because the most efficient driver for this goal is information technologies. Moscow follows main world tendencies in technological enactment in education, road trafficking, healthcare system, public services provision, citizens’ security and privacy, interactive education system, housing and utilities.
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)
A model for organizing cargo transportation between two node stations connected by a railway line which contains a certain number of intermediate stations is considered. The movement of cargo is in one direction. Such a situation may occur, for example, if one of the node stations is located in a region which produce raw material for manufacturing industry located in another region, and there is another node station. The organization of freight traﬃc is performed by means of a number of technologies. These technologies determine the rules for taking on cargo at the initial node station, the rules of interaction between neighboring stations, as well as the rule of distribution of cargo to the ﬁnal node stations. The process of cargo transportation is followed by the set rule of control. For such a model, one must determine possible modes of cargo transportation and describe their properties. This model is described by a ﬁnite-dimensional system of diﬀerential equations with nonlocal linear restrictions. The class of the solution satisfying nonlocal linear restrictions is extremely narrow. It results in the need for the “correct” extension of solutions of a system of diﬀerential equations to a class of quasi-solutions having the distinctive feature of gaps in a countable number of points. It was possible numerically using the Runge–Kutta method of the fourth order to build these quasi-solutions and determine their rate of growth. Let us note that in the technical plan the main complexity consisted in obtaining quasi-solutions satisfying the nonlocal linear restrictions. Furthermore, we investigated the dependence of quasi-solutions and, in particular, sizes of gaps (jumps) of solutions on a number of parameters of the model characterizing a rule of control, technologies for transportation of cargo and intensity of giving of cargo on a node station.
Event logs collected by modern information and technical systems usually contain enough data for automated process models discovery. A variety of algorithms was developed for process models discovery, conformance checking, log to model alignment, comparison of process models, etc., nevertheless a quick analysis of ad-hoc selected parts of a journal still have not get a full-fledged implementation. This paper describes an ROLAP-based method of multidimensional event logs storage for process mining. The result of the analysis of the journal is visualized as directed graph representing the union of all possible event sequences, ranked by their occurrence probability. Our implementation allows the analyst to discover process models for sublogs defined by ad-hoc selection of criteria and value of occurrence probability
It is well-known that the class of sets that can be computed by polynomial size circuits is equal to the class of sets that are polynomial time reducible to a sparse set. It is widely believed, but unfortunately up to now unproven, that there are sets in EXPNP, or even in EXP that are not computable by polynomial size circuits and hence are not reducible to a sparse set. In this paper we study this question in a more restricted setting: what is the computational complexity of sparse sets that are selfreducible? It follows from earlier work of Lozano and Torán (in: Mathematical systems theory, 1991) that EXPNP does not have sparse selfreducible hard sets. We define a natural version of selfreduction, tree-selfreducibility, and show that NEXP does not have sparse tree-selfreducible hard sets. We also construct an oracle relative to which all of EXP is reducible to a sparse tree-selfreducible set. These lower bounds are corollaries of more general results about the computational complexity of sparse sets that are selfreducible, and can be interpreted as super-polynomial circuit lower bounds for NEXP.
I give the explicit formula for the (set-theoretical) system of Resultants of m+1 homogeneous polynomials in n+1 variables