Исторические персонажи в информационном эфире ведущих российских телеканалов
The proposed article is based on the results of content analysis of informational TV programs of major Russian TV channels. Historical persons mentioned in these programs are considered in general context. Main conclusion is that some of the references are made in the context of fixing the characters move from the present to history. Other references are connected with the process of legitimization of current events by putting them into historical context.
The article deals with determining the zones where it would be reasonable to use robotic-surgical systems (complexes) in conducting abdominal operations. It is not only the economic interests of a clinic, but the safety and the health of a patient that are regarded as criteria for optimality, as well as convenience and fatigability level of medical personnel. The article offers the logics and methodology for such a survey, which would consist of three blocks. At the start, on the basis of the experience of operations performed by the authors, the system of verifiable current hypotheses is structured. The second block deals with the content analysis (CA) of the publications relating to the description of respective medical cases, which partially allows to confirm the previously suggested hypothesis. The final stage will involve a survey in the form of a questionnaire of leading surgeons. The results of two first stages of work are presented in this article.
How did people view events which they took part in? How did they record and transmit information about those events? And how their descendants conceived them and historians interpreted? The interest to the past makes an important part of social consciousness, which is changed by major events and shifts in social life. This process concerns not only ‘live’ social memory of the events but also deeper layers of cultural memory that is turned to the remote past. These and other questions of great interest are considered by the authors of this book.
The problems of the man are examined in the context of the state development, human inner world, and perception of historical events. The researcher has used their private sources such as diaries, memoirs and letters which reflect the levels of spiritual life and psychology of people living in individual historic ages.
The article is concerned with results of content analysis of textbooks for high school in the area of social and human sciences. The author uses the typology of values introduced by S. Schwartz which consists of two value axes — “conservation — openness to change” and “selfassertion — caring about people and nature” — and describes values that underlie each subject area and then compares these values with results of mass surveys of the values of Russians.
There have been implemented engineering and development of multi-agent recommender system «EZSurf» that performs analysis of interests and provides recommendations for the social network «VKontakte» users based on the data from profile of particular user. During the work process different methods and technological solutions have been analyzed with examination of their advantages and disadvantages. Besides of that the comparative analysis of analogous products has been held where the most similar is Russian start-up service - Surfingbird. Based on this analysis the decision of recommender system implementation and integration has been accepted. The feature of this system is that it uses social network “VKontakte” profile for user’s data collection and API of third-party services (LastFM, TheMovieDB) for an extraction of information about similar objects. Such an approach contributes into optimization of recommender system, because it does not require creation of its own object classification system and objects database. The functionality of multi-agent system was separated between three agents. First agent (Collector) collects user data from “VKontakte” profile using VK API. Second agent (Analyzer) collects similar objects from databases of thitd-party services (LastFM, TheMovieDB) that will be the criteria for further search of recommendatory content. For search and selection of information an agent (Recommender) that works as web-crawler has been implemented. System «EZSurf» can be exploited by the users of social network “VKontakte” in everyday life for time economy on web-surfing process. At the same time they will get recommendations on content that are filtered depending on preferences of every particular user.
In 2006, Russia amended its competition law and added the concepts of ‘collective dominance’ and its abuse. This was seen as an attempt to address the common problem of ‘conscious parallelism’ among firms in concentrated industries. Critics feared that the enforcement of this provision would become tantamount to government regulation of prices. In this paper we examine the enforcement experience to date, looking especially closely at sanctions imposed on firms in the oil industry. Some difficulties and complications experienced in enforcement are analysed, and some alternative strategies for addressing anticompetitive behaviour in concentrated industries discussed.