The series “Advances in Intelligent Systems and Computing” contains publications on theory, applications, and design methods of Intelligent Systems and Intelligent Computing. Virtually all disciplines such as engineering, natural sciences, computer and information science, ICT, economics, business, e-commerce, environment, healthcare, life science are covered. The list of topics spans all the areas of modern intelligent systems and computing such as: computational intelligence, soft computing including neural networks, fuzzy systems, evolutionary computing and the fusion of these paradigms, social intelligence, ambient intelligence, computational neuroscience, artificial life, virtual worlds and society, cognitive science and systems, Perception and Vision, DNA and immune based systems, self-organizing and adaptive systems, e-Learning and teaching, human-centered and human-centric computing, recommender systems, intelligent control, robotics and mechatronics including human-machine teaming, knowledge-based paradigms, learning paradigms, machine ethics, intelligent data analysis, knowledge management, intelligent agents, intelligent decision making and support, intelligent network security, trust management, interactive entertainment, Web intelligence and multimedia. The publications within “Advances in Intelligent Systems and Computing” are primarily proceedings of important conferences, symposia and congresses. They cover significant recent developments in the field, both of a foundational and applicable character. An important characteristic feature of the series is the short publication time and world-wide distribution. This permits a rapid and broad dissemination of research results.

This book contains a selection of papers accepted for the presentation and discussion at the 2018 International Conference on Digital Science (DSIC’18). This Conference had the support of the Institute of Certified Specialists, Russia, AISTI (Iberian Association for Information Systems and Technologies), and Springer. It will take place at Convention Centre, Budva, Montenegro, October 19–21, 2018. DSIC’18 is an international forum for researchers and practitioners to present and discuss the most recent innovations, trends, results, experiences, and concerns in the several perspectives of Digital Science. The main idea of this Conference is that the world of science is unified and united allowing all scientists/practitioners to be able to think, analyze, and generalize their thoughts. DSIC aims efficiently to disseminate original research results in natural, social, art, and humanities sciences. An important characteristic feature of the Conference should be the short publication time and worldwide distribution. This Conference enables fast dissemination, so conference participants can publish their papers in print and electronic format, which is then made available worldwide and accessible by numerous researchers. The Scientific Committee of DSIC’18 was composed of a multidisciplinary group of 26 experts. One hundred and seven invited reviewers who are intimately concerned with Digital Science have had the responsibility for evaluating, in a “double-blind review” process, the papers received for each of the main themes proposed for the Conference: Digital Art and Humanities; Digital Economics; Digital Education; Digital Engineering; Digital Environmental Sciences; Digital Finance, Business and Banking; Digital Media; Digital Medicine, Pharma and Public Health; Digital Public Administration; Digital Technology and Applied Sciences. DSIC’18 received 88 contributions from 16 countries around the world. The papers accepted for the presentation and discussion at the Conference are published by Springer (this book) and will be submitted for indexing by ISI, SCOPUS, among others.

This book examines how Russia, the world’s most complicated country, is governed. As it resumes its place at the centre of global affairs, the book explores Russia’s overarching strategies, and how it organizes itself (or not) in policy areas ranging from foreign policy and national security to health care, education, immigration, science, sport, agriculture, the environment and criminal justice. The book also discusses the structures and institutions on which Russia relies in order to deliver its goals in these areas of national life, as well as what’s to be done, in policy terms, to improve the country’s performance in its first post-Soviet century. Edited by Irvin Studin, the book includes contributions from a tremendous list of Russia’s leading thinkers and specialists, including Alexei Kudrin, Vladimir Mau, Alexander Auzan, Simon Kordonsky, Fyodor Lukyanov, Natalia Zubarevich and Andrey Melville.

The authors proposed and mathematically described model of a new type of the Fermi-Pasta-Ulam recurrence (the FPU auto recurrence) and hypothesized an adequate description of the heart's electrical dynamics within the observed phenomenon. The dynamics of the FPU auto recurrence making appropriate electrical dynamics of the normal functioning of the heart in the form of an electrocardiogram (ECG) was obtained by a computer model study. The model solutions in the form of the FPU auto recurrence – ECG Fourier spectrum were evaluated for resistance to external disturbances in the form of random effects, as well as periodic perturbation at a frequency close to the heart beating rate of about 1 Hz. In addition, in order to simulate the dynamics of myocardial infarction model, studied the effect of the surface area of the myocardium on the stability and shape of the auto recurrence – ECG spectrum. It has been found that the intense external disturbing periodic impacts at a frequency of about 1 Hz lead to a sharp disturbance spectrum shape FPU auto recurrence – ECG structure. In addition, the decrease in the surface of the myocardium by 50% in the model led to the destruction of structures of the auto recurrence – ECG, which corresponds to the state of atrial myocardium. Research models have revealed a hypothetical basis of coronary heart disease in the form of increasing the energy of high-frequency harmonics spectrum of the auto recurrence by reducing the energy of low-frequency harmonic spectrum of the auto recurrence, which ultimately leads to a sharp decrease in myocardial contractility. In order to test the hypothesis has been studied more than 20,000 ECGs both healthy people and patients with cardiovascular disease. As a result of these studies, it was found that the dynamics of the electrical activity of normal functioning of the heart can be interpreted by the display of the detected by authors the FPU auto recurrence, and coronary heart disease is a violation of the energy ratio between the low and high frequency harmonics of the FPU auto recurrence Fourier spectrum equal to the ECG spectrum. Thus, the hypothesis has been confirmed.

The materials of The International Scientific – Practical Conference is presented below. The Conference reflects the modern state of innovation in education, science, industry and social-economic sphere, from the standpoint of introducing new information technologies.

It is interesting for a wide range of researchers, teachers, graduate students and professionals in the field of innovation and information technologies.

Adequate assessment of individual functional motor potentials is important for developing appropriate rehabilitation strategies in ischemic stroke [1]. Microstructural changes in corticospinal tract (CST) and corpus callosum (CC) were repeatedly correlated to post-stroke outcome [2, 3]. However, relationship between them and functional recovery remains unclear. Here we investigated relationship between integrity of CST and CC assessed with diffusion tensor imaging (DTI) and brain functional state assessed with navigated transcranial magnetic stimulation (nTMS) in chronic ischemic supratentorial stroke.

The present volume is the fourth issue of the Yearbook series entitled ‘Evolution’. The title of the present volume is ‘From Big Bang to Nanorobots’. In this way we demonstrate that all phases of evolution and Big History are covered in the articles of the present Yearbook. Several articles also present the forecasts about future development.

The main objective of our Yearbook as well as of the previous issues is the creation of a unified interdisciplinary field of research in which the scientists specializing in different disciplines could work within the framework of unified or similar paradigms, using the common terminology and searching for common rules, tendencies and regularities. At the same time for the formation of such an integrated field one should use all available opportunities: theories, laws and methods. In the present volume, a number of such approaches are used.

The volume consists of four sections: Universal Evolutionary Principles; Biosocial Evolution, Ecological Aspects, and Consciousness; Projects for the Future; In Memoriam.

This Yearbook will be useful both for those who study interdisciplinary macroproblems and for specialists working in focused directions, as well as for those who are interested in evolutionary issues of Cosmology, Biology, History, Anthropology, Economics and other areas of study. More than that, this edition will challenge and excite your vision of your own life and the new discoveries going on around us!

The book presents the most important aspects of safe digital image workflows, starting from the basic practical implications and gradually uncovering the underlying concepts and algorithms. With an easy-to-follow, down-to-earth presentation style, the text helps you to optimize your diagnostic imaging projects and connect the dots of medical informatics.​

In the context of global efforts to move towards universal coverage in health systems, this report reviews health financing reforms in the Republic of Moldova and looks in particular at how the population´s access to health services has been affected. In 2004, as has been widely documented elsewhere, wholesale reforms were made to the way in which government funds were used to fund health services, shifting the system overnight from a highly fragmented and inflexible one, to one in which funds for the health sector were pooled nationally, allowing improved risk-sharing as a result of greater flexibility to allocate funds in line with health needs. A new source of funding in the form of a payroll tax for health was also introduced directly leading to a growth in total levels of government health spending. A second phase of reforms starting in 2009 addressed the issue of gaps in population coverage under mandatory health insurance, with legislative measures taken to ensure that all citizens of Moldova had access to primary health care, and to ensure that the poor receive subsidized health insurance. Fiscal constraints have limited the full implementation of these reforms however. Moldova has shown that it is prepared to tackle difficult policy issues head on and has articulated clear goals for the sector. In particular, the Roadmap “Accelerating Reforms: addressing the needs of the health area through investment policies” approved on 1 March 2012, lays a clear agenda for the next phase or priority reforms focusing on principally on service delivery reorganization but also on health financing. This is the correct focus given that progress on a number of priority indicators such as equity in access to services and financial protection has been limited in recent years. This report summarizes the main impact of health financing reforms to date and agrees with the Roadmap about the major challenges for the coming decade, in particular the need to address inefficiencies in service delivery, but also to ensure that the close link between guaranteed benefits and available funding is maintained in future policy decisions.

This review presents current data on possible mechanisms forming synergies in health, particularly at the cortical level. The mechanisms of formation of pathological synergies, taking account of the anatomical and physiological characteristics of the upper limbs and the hypothesis, that synergistic patterns are transformed in patients with spastic hemiparesis are discussed. Current views of the pathophysiological bases of the formation of pathological synergies based on neuroimaging and neurophysiological study data are presented, along with a method for noninvasive stimulation of the brain. The question of the correction and transformation of pathological synergies in rehabilitation practice is discussed. Particular attention is paid to clinical and instrumented evaluation of synergies and the use of validated clinical scales and instrumented methods such as video movement analysis, electromyography, magnetic and contactless tracking systems, and virtual reality technologies.

Humans can determine image quality instantly and intuitively, but the mechanism of human perception of image quality is unknown. The purpose of this work was to identify the most important quantitative metrics responsible for the human perception of digital image quality. Digital images from two different datasets—CT tomography (MedSet) and scenic photographs of trees (TreeSet)—were presented in random pairs to unbiased human viewers. The observers were then asked to select the best-quality image from each image pair. The resulting human-perceived image quality (HPIQ) ranks were obtained from these pairwise comparisons with two different ranking approaches. Using various digital image quality metrics reported in the literature, we built two models to predict the observed HPIQ rankings, and to identify the most important HPIQ predictors. Evaluating the quality of our HPIQ models as the fraction of falsely predicted pairwise comparisons (inverted image pairs), we obtained 70–71% of correct HPIQ predictions for the first, and 73–76%for the second approach. Taking into account that 10–14% of inverted pairs were already present in the original rankings, limitations of the models, and only a few principal HPIQ predictors used, we find this result very satisfactory. We obtained a small set of most significant quantitative image metrics associated with the human perception of image quality. This can be used for automatic image quality ranking, machine learning, and quality-improvement algorithms.

Increasing evidence suggests that neuronal communication is a defining property of functionally specialized brain networks and that it is implemented through synchronization between population activities of distinct brain areas. The detection of long-range coupling in electroencephalography (EEG) and magnetoencephalography (MEG) data using conventional metrics (such as coherence or phase-locking value) is by definition contaminated by spatial leakage. Methods such as imaginary coherence, phase-lag index or orthogonalized amplitude correlations tackle spatial leakage by ignoring zero-phase interactions. Although useful, these metrics will by construction lead to false negatives in cases where true zero-phase coupling exists in the data and will underestimate interactions with phase lags in the vicinity of zero. Yet, empirically observed neuronal synchrony in invasive recordings indicates that it is not uncommon to find zero or close-to-zero phase lag between the activity profiles of coupled neuronal assemblies. Here, we introduce a novel method that allows us to mitigate the undesired spatial leakage effects and detect zero and near zero phase interactions. To this end, we propose a projection operation that operates on sensor-space cross-spectrum and suppresses the spatial leakage contribution but retains the true zero-phase interaction component. We then solve the network estimation task as a source estimation problem defined in the product space of interacting source topographies. We show how this framework provides reliable interaction detection for all phase-lag values and we thus refer to the method as Phase Shift Invariant Imaging of Coherent Sources (PSIICOS). Realistic simulations demonstrate that PSIICOS has better detector characteristics than existing interaction metrics. Finally, we illustrate the performance of PSIICOS by applying it to real MEG dataset recorded during a standard mental rotation task. Taken together, using analytical derivations, data simulations and real brain data, this study presents a novel source-space MEG/EEG connectivity method that overcomes previous limitations and for the first time allows for the estimation of true zero-phase coupling via non-invasive electrophysiological recordings.

Cardiovascular disease associated with metabolic syndrome has a high prevalence, but the mechanistic basis of metabolic cardiomyopathy remains poorly understood. We characterised the cardiac transcriptome in a murine metabolic syndrome (MetS) model (LDLR−/−; ob/ob, DKO) relative to the healthy, control heart (C57BL/6, WT) and the transcriptional changes induced by ACE-inhibition in those hearts. RNA-Seq, differential gene expression and transcription factor analysis identified 288 genes differentially expressed between DKO and WT hearts implicating 72 pathways. Hallmarks of metabolic cardiomyopathy were increased activity in integrin-linked kinase signalling, Rho signalling, dendritic cell maturation, production of nitric oxide and reactive oxygen species in macrophages, atherosclerosis, LXR-RXR signalling, cardiac hypertrophy, and acute phase response pathways. ACE-inhibition had a limited effect on gene expression in WT (55 genes, 23 pathways), and a prominent effect in DKO hearts (1143 genes, 104 pathways). In DKO hearts, ACE-I appears to counteract some of the MetS-specific pathways, while also activating cardioprotective mechanisms. We conclude that MetS and control murine hearts have unique transcriptional profiles and exhibit a partially specific transcriptional response to ACE-inhibition.

The endogenous opioid system (EOS) controls the processing of nociceptive stimuli and is a pharmacological target for opioids. Alterations in expression of the EOS genes under neuropathic pain condition may account for low efficacy of opioid drugs. We here examined whether EOS expression patterns are altered in the lumbar spinal cord of the rats with spinal nerve ligation (SNL) as a neuropathic pain model. Effects of the left- and right-side SNL on expression of EOS genes in the ipsi- and contralateral spinal domains were analysed. The SNL-induced changes were complex and different between the genes; between the dorsal and ventral spinal domains; and between the left and right sides of the spinal cord. Prodynorphin (Pdyn) expression was upregulated in the ipsilateral dorsal domains by each the left and right-side SNL, while changes in expression of μ-opioid receptor (Oprm1) and proenkephalin (Penk) genes were dependent on the SNL side. Changes in expression of the Pdyn and κ-opioid receptor (Oprk1) genes were coordinated between the ipsi- and contralateral sides. Withdrawal response thresholds, indicators of mechanical allodynia correlated negatively with Pdyn expression in the right ventral domain after right side SNL. These findings suggest multiple roles of the EOS gene products in spinal sensitization and changes in motor reflexes, which may differ between the left and right sides.

Most common drug development failures originate from either bioavailability problems, or unexpected toxic effects. The culprit is often the liver, which is responsible for biotransformation of a majority of xenobiotics. Liver may be modeled using "liver on a chip" devices, which may include established cell lines, primary human cells, and stem cell-derived hepatocyte-like cells. The choice of biological material along with its processing and maintenance greatly influence both the device performance and the resultant toxicity predictions. Impediments to the development of "liver on a chip" technology include the problems with standardization of cells, limitations imposed by culturing and the necessity to develop more complicated fluidic contours. Fortunately, recent breakthroughs in the development of cell-based reporters, including ones with fluorescent label, permits monitoring of the behavior of the cells embed into the "liver on a chip" devices. Finally, a set of computational approaches has been developed to model both particular toxic response and the homeostasis of human liver as a whole; these approaches pave a way to enhance the in silico stage of assessment for a potential toxicity.

Nonalcoholic fatty liver disease (NAFLD) is the most common liver pathology. Here we propose tissue-cooperative, homeostatic model of NAFLD. During early stages of NAFLD the intrahepatic production of miR-122 falls, while the secretion of miRNA-containing exosomes by adipose increases. Bloodstream carries exosome to the liver, where their miRNA cargo is released to regulate their intrahepatic targets. When the deterioration of adipose catches up with the failing hepatic parenchyma, the external supply of liver-supporting miRNAs gradually tapers off, leading to the fibrotic decompensation of the liver and an increase in hepatic carcinogenesis. This model may explain paradoxical observations of the disease-associated decrease in intrahepatic production of certain miRNAs with an increase in their levels in serum. Infusions of miR-122 and, possibly, some other miRNAs may be efficient for preventing NAFLD-associated hepatocellular carcinoma. The best candidates for exosome-wrapped miRNA producer are adipose tissue-derived mesenchymal stem cells (MSCs), known for their capacity to shed large amounts of exosomes into the media. Notably, MSC-derived exosomes with no specific loading are already tested in patients with liver fibrosis. Carrier exosomes may be co-manufactured along with their cargo. Exosome-delivered miRNA cocktails may augment functioning of human organs suffering from a variety of chronic diseases.

Non-alcoholic fatty liver disease (NAFLD) is the worldwide most common cause of chronic liver pathology, which prevalence strongly correlates with the increasing incidence of diabetes, obesity and metabolic syndrome in the general population. Simple steatosis, the earliest NAFLD stage, usually remains asymptomatic, and appropriate changes in the lifestyle, as well as the diet, can reverse the affected liver into the healthy state. The potential of simple steatosis to progress into severe fibrotic stages and to facilitate carcinogenesis necessitates timely NAFLD detection and risk stratification in community-based healthcare settings. Since their initial discovery a decade ago, extracellular circulating miRNAs have been found in all human biological fluids including blood and shown to hold great promises as non-invasive biomarkers. Normally, intracellular miRNAs participate in the regulation of gene expression, but once released by dying/dead cells they remain highly stable in the extracellular environment for prolonged periods. Therefore, circulating miRNA profiles can reflect the ongoing pathogenic processes in body's tissues and organs, and enable highly sensitive non-invasive diagnosis of multiple disorders. A non-urgent character of the NAFLD-related decision-making justifies the use of chronic liver diseases as an excellent test case for examining the practical utility of circulating miRNAs as biomarkers for longitudinal monitoring of human health. In this review, we summarize the state-of-the-art in the field of early diagnosis of NAFLD using circulating blood miRNAs, and stress the necessity of additional experimental validation of their diagnostic potential. We further emphasize on the potential diagnostics promises of other cell-free RNA species found in human biological fluids.

The use of the MRI-navigation system ensures accurate targeting of TMS. This, in turn, results in TMS motor mapping becoming a routinely used procedure in neuroscience and neurosurgery. However, currently, there is no standardized methodology for assessment of TMS motor-mapping results. Therefore, we developed TMSmap – free standalone graphical interface software for the quantitative analysis of the TMS motor mapping results (http://tmsmap.ru/). In addition to the estimation of standard parameters (such as the size of cortical muscle representation and the center of gravity location), it allows estimation of the volume of cortical representations, excitability profile of the cortical surface map and the overlap between cortical representations. The input data for the software includes the coordinates of the coil position (or electric field maximum) and the corresponding response in each stimulation point. TMSmap has been developed for versatile assessment and comparison of TMS maps relating to different experimental interventions including, but not limited to longitudinal, pharmacological and clinical studies (e.g., stroke recovery). To illustrate the use of TMSmap we provide examples of the actual TMS motor-mapping analysis of two healthy subjects and one chronic stroke patient.

The aim of this work is to investigate the optimal vaccine sharing between two SIR centers in the presence of migration fluxes of susceptibles and infected individuals during the mumps outbreak. Optimality of the vaccine allocation means the minimization of the total number of lost working days during the whole period of epidemic outbreak [0,tf], which can be described by the functional Q=∫tf0I(t)dt where I(t) stands for the number of infectives at time t. We explain the behavior of the optimal allocation, which depends on the model parameters and the amount of available vaccine.

Human genetic variability is thought to account for a substantial fraction of individual biochemical characteristics — in biomedical sense, of individual drug response. However, only a handful of human genetic variants have been linked to medication outcomes. Here, we combine data on drug-protein interactions and human genome sequences to assess the impact of human variation on their binding affinity. Using data from the complexes of FDA-drugs and drug-like compounds, we predict SNPs substantially affecting the protein-ligand binding affinities. We estimate that an average individual carries ~6 SNPs affecting ~5 different FDA-approved drugs from among all of the approved compounds. SNPs affecting drug-protein binding affinity have low frequency in the population indicating that the genetic component for many ADEs may be highly personalized with each individual carrying a unique set of relevant SNPs. The reduction of ADEs, therefore, may primarily rely on the application of computational genome analysis in the clinic rather than the experimental study of common SNPs.

The paper examines the changes in the physician’s motivation at work during the period of reforms the salary system started since 2008. These reforms have included a shift from fixed salary system to pay for performance remuneration as well as sufficient increase of salary. The data of six surveys of health workers implemented in 2007-2016 were used to reveal the hierarchy of physician’s motives at work and to track their changes during the period of time under consideration. The changes were minor, and the directions of these changes were rather opposite to the expected strengthening of financial motivation at work: the importance of the motive of earning money has moved from the first place. The share of doctors willing to work more and better on the condition of linking salary with labor contribution did not increase. In contrast, almost two-thirds of physicians believe that they are working on a high level of quality and performance. The majority of physicians desire to increase not a stimulating part of the salary but a base, fixed one. Doctors who receive bonuses for the intensity, quality and performance, and who have a higher amount of salary wish to see the share of fixed part of salary higher than it is now available. This is a clear indication of orientation of this professional to strengthening the protective function of the salary rather than to use increased opportunities for earning money.

The paper explores primary health care models in Russia and in Central and Eastern European (CEE) countries. Starting with the similar model, they have taken totally different ways of primary health care transformation, including the role of general practitioner, multispecialty polyclinics and private sector. The comparison of this diversity, based on the conceptual framework of Primary Health Care Activity Monitor in Europe, demonstrated that the scores of primary care in Russia are relatively lower, particularly in the dimensions of accessibility, comprehensiveness, continuity and coordination of care. The score of the selected efficiency indicators is also relatively low. The major reasons for this are discussed, including the lack of strategic vision on the role of primary care, an excessive specialization of primary care and the delay with a shift to a general practitioner model. A debatable issue of primary care extended composition (the involvement of a growing number of specialists) is also addressed. The conceptual presumption that an extended composition presents new opportunities for more integrated care and better performance has not been supported by the evidence. Big multispecialty policlinics in Russia don’t demonstrate advantages over solo and group GP practices that dominate in CEE countries. The potential of polyclinics is not used because of the lack of specific activities for integration. It is argued that new specialists in the practices can strengthen primary care only when they support generalists rather than replace them. The lesson learnt from CEE countries is that substantial changes are needed to overcome the lagging status of primary care in Russia, including overcoming the excessive specialization of primary care, the replacement of district physicians by general practitioners, developing the forms of independent practices operating in parallel with polyclinics and competing with them.

Having one of the highest physician-population ratios in the world, Russia – paradoxically – also faces shortages of physicians. This paper explores the reasons for this paradox through examining the structural characteristics of the Russian health workforce and its development. In comparing Russia with mainstream European countries and in particular the ‘new” EU countries we argue that the shortage of physicians is determined mostly by the prevailing model of health workforce development with its enduring emphasis on quantitative rather than structural indicators. First, the traditional perception of physicians as inexpensive health resources determines the long-term growth of their jobs – irrespective of the new opportunities for substitution and other structural innovations. Second, there is a persistent distortion in the composition of physician supply, of which the most important is the very low share and narrow remit of primary health care providers in comparison to European standards. Third, the international trends in the division of labor between physicians, medical nurses and allied health personnel are not followed in Russia with the result of an inevitable overburden of physicians, the reproduction of a large supply of physicians, while also the paradoxical shortage. Fourth, the system of professional development of physicians does not match international standards. Although with a substantial delay, Russia has now started transition to a workforce model focused on structural characteristics of human resources and so, in the final part of the paper, these new initiatives of the Government are critically assessed.

Background: With the rapid growth of online social network sites (SNS), the issue of health-related online communities and its social and behavioral implications have become increasingly important for public health and healthcare. Unfortunately, online communities often become vehicles for promotion of pernicious misinformation, for example, alleged harm of vaccination or that HIV-virus is a myth (AIDS-denialism). This study seeks to explore the social structure and participants' behavior of the AIDS-denialists online community to identify and estimate the those who potentially are most susceptible to AIDS-denialists arguments  - “the risk group” in terms of becoming AIDS-denialists. Methods: Social network analysis was used for examining the most numerous AIDS-denialist community in the most popular Russian SNA “VKontakte”, which numbered 13000 – 15 000 members during the various stage of analysis. Qualitative content analysis was also used for collecting relevant for this study members’ attributes, such as HIV status and the extent of belief in AIDS-denialists arguments. Two datasets were collected to analyze friendship  relations between community members and their communication relations. Results: Using social network analysis combined with content-analysis we have identified the core of online community - cohesive and dedicated AIDS-denialists, and the risk group, which is not equal in composition to all peripheral members appeared in the online group. The risk group is the circle of users who engage with core members through online communication and may be more susceptible the AIDS-denialist propaganda. Analysis allowed to significantly reduce the target audience for possible intervention campaign and simultaneously increase the accuracy of user selection into the risk group (1369 users from the risk group is more than 10 times less than whole online group population counting over 15,000 users). Thus, online information interventions should be aimed at this risk group audience in the first place to prevent their adoption of AIDS-denialism beliefs, further spread of AIDS-denialism, and pernicious health consequences associated with being an HIV-positive AIDS-denialist. Conclusion: More research on influence of AIDS-denialism on HIV-positive online group members is needed. Of particular interest are longitudinal or case control studies that could detect the size of effect of AIDS-denialist propaganda that is communicated from hard-core denialists to the risk group, different factors associated with higher or lower susceptibility to AIDS-denialist views, and real health behavior change that occurs with becoming an AIDS-denialist.

The article is based on the preliminary results of author’s current study of the implementation of electronic health records in one of Russian outpatient clinics. Interviews with doctors, developers, managers of the State Department of Healthcare, IT-specialists, and clinic’s head, as well as observations of doctors’ everyday work, show that one of the key problems in the transition from paper to electronic record-keeping is how new information system transforms (or fails to transform) doctors’ routine, habitual activities. The article suggests that the widespread view of habitual action as an action in accordance with a preliminary scheme — a view that forms a basis for the majority of medical information systems — does not describe the actual structure of healthcare activities. The analysis of how doctors perceive and use electronic health records in their daily practice demonstrates that a situational approach to routine actions is more adequate. For example, the use of so-called “templates” that are created by doctors within the electronic health records cannot be understood without reference to the situational context of professional activities. Doctors, creating and using various “templates,” do this in such ways that allow them to make these health records circumstantially understandable. The view of routine activities as situated, concerted achievements not only proves the possibility of a new approach to the description of habitual actions’ role and place in the structure of social action, but can be important for the design and evaluation of professional information systems.

The article focuses on four major assumptions that underlie the alternative conceptualization of public recreation marketing. It explains (1) the redistribution system within recreation resources are allocated; (2) the organizational structure of recreation agencies; (3) the ways in which public recreation agencies interact with local governments and citizens; and (4) the code of ethics and its influence on the behavior of recreation professionals. Finally, the article attempts to integrate these assumptions into an alternative definition of public recreation marketing that is termed “administered marketing.”

This paper presents a method and computational technology for forecasting ambulance trips. We used statistical information about the number of the trips in 2009-2013, the meteorological archive, and the corresponding archive of the meteorological forecasts for the same period. We take into account social and meteorological predictors simultaneously. The method may be used operatively for planning in the ambulance service. It may be applied for all trips and for specific subgroups of diseases. The method and the technology may be applied for any megalopolis if the corresponding medical and meteorological information is available.

The paper considers the changes in major proximate determinants of fertility in Russia within the framework of demographic transition theory and Bongaarts approach to fertility analysis. After World War II Russian fertility became fully controlled process. The complex interplay of abortion and contraception during the Soviet period resulted in a very high abortion level. Russian government has almost never supported and promoted family planning as alternative to abortion. However couple's preferences of small offspring appeared more powerful than the will of authorities. Current trends show that albeit lack of governmental support the society itself is evolving towards more humanistic and effective birth control. Estimates made upon recent surveys' data confirm the validity of official statistics and thus the reality of favorable trend of abortion decline.