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Paper provides the analysis of state-owned and private media companies during parliamentary pre-election race in Georgia in 2020. An attempt to measure the influence of variously interpreted information by different media and how this process, precisely, affects elections was made in this work. It should be noted, the closer the elections are, the more aggressive and radical Georgian media-companies become in their relation to each other and to their audience on a whole.Political polarisation, as consequence of the fierce clash over political power, results in politization of all the social processes, and strongly affects information environment in Georgia. Despite following the democratic blueprint of state formation and announced course for the democratization of political processes, Georgian reality remains far distant from the set goals. Significant role in destabilization of the situation belongs to mass media, whose political activity prevents us from speaking about healthy political environment, nevertheless about flexible state-model in Georgia. ; В статье анализируется роль государственных и частных телекомпаний в ходе предвыборной гонки в парламент Грузии в 2020 году. В данной работе определена степень влияния информации, интерпретируемой различными СМИ, на формирование политической ситуации в стране и на предвыборный процесс. Отмечается, что чем ближе избирательный процесс, тем агрессивнее и радикальнее становится грузинская медийная среда, а отдельные средства массовой информации становятся более агрессивными как по отношению друг к другу, так и по отношению к обществу в целом. Политическая поляризация, как следствие ожесточённой борьбы за власть, выражается в политизации всех общественных процессов в республике, в том числе, оказывает сильное влияние на информационное пространство в Грузии. Несмотря на следование демократической модели развития государства и заявленного курса на демократизацию политических процессов, грузинская реальность далека от поставленных целей. Значительную роль в ...

Paper provides the analysis of state-owned and private media companies during parliamentary pre-election race in Georgia in 2020. An attempt to measure the influence of variously interpreted information by different media and how this process, precisely, affects elections was made in this work. It should be noted, the closer the elections are, the more aggressive and radical Georgian media-companies become in their relation to each other and to their audience on a whole.Political polarisation, as consequence of the fierce clash over political power, results in politization of all the social processes, and strongly affects information environment in Georgia. Despite following the democratic blueprint of state formation and announced course for the democratization of political processes, Georgian reality remains far distant from the set goals. Significant role in destabilization of the situation belongs to mass media, whose political activity prevents us from speaking about healthy political environment, nevertheless about flexible state-model in Georgia.

The article is devoted to identifying the using features of the sciencetainment method in Russian popular science TV programs. Currently, the method is actively used on television to attract the attention of viewers and implement several functions of journalism at once – the enlightenment and recreational ones. The study presents the characteristics of sciencetainment as a method of television journalism, describes causes for such a content to be in demand, identifies signs of the presence of sciencetainment in popular science TV projects, defines the advantages and disadvantages of using that method.

The present study has been supported by the Latvian National Research Program IMIS2. One of us, IS, was supported by MES RF RFMEFI61615X0064. ; X-ray diffraction, micro-Raman and the Fourier transform infrared spectroscopies as well as magnetometry measurements were performed on nanosized manganese oxides to probe their phase composition and magnetic properties. It was shown that the XRD method is less sensitive to phase composition of manganese oxide samples than spectroscopic methods. While in some samples the XRD method recognised only the manganosite MnO phase, the Raman and FT-IR methods revealed additionally the presence of the hausmannite Mn3O4 phase. ; Ministry of Education and Science RF RFMEFI61615X0064; Institute of Solid State Physics, University of Latvia as the Center of Excellence has received funding from the European Union's Horizon 2020 Framework Programme H2020-WIDESPREAD-01-2016-2017-TeamingPhase2 under grant agreement No. 739508, project CAMART²

OpenTox provides an interoperable, standards-based Framework for the support of predictive toxicology data management, algorithms, modelling, validation and reporting. It is relevant to satisfying the chemical safety assessment requirements of the REACH legislation as it supports access to experimental data, (Quantitative) Structure-Activity Relationship models, and toxicological information through an integrating platform that adheres to regulatory requirements and OECD validation principles. Initial research defined the essential components of the Framework including the approach to data access, schema and management, use of controlled vocabularies and ontologies, architecture, web service and communications protocols, and selection and integration of algorithms for predictive modelling. OpenTox provides end-user oriented tools to non-computational specialists, risk assessors, and toxicological experts in addition to Application Programming Interfaces (APIs) for developers of new applications. OpenTox actively supports public standards for data representation, interfaces, vocabularies and ontologies, Open Source approaches to core platform components, and community-based collaboration approaches, so as to progress system interoperability goals.The OpenTox Framework includes APIs and services for compounds, datasets, features, algorithms, models, ontologies, tasks, validation, and reporting which may be combined into multiple applications satisfying a variety of different user needs. OpenTox applications are based on a set of distributed, interoperable OpenTox API-compliant REST web services. The OpenTox approach to ontology allows for efficient mapping of complementary data coming from different datasets into a unifying structure having a shared terminology and representation.Two initial OpenTox applications are presented as an illustration of the potential impact of OpenTox for high-quality and consistent structure-activity relationship modelling of REACH-relevant endpoints: ToxPredict which predicts and reports on toxicities for endpoints for an input chemical structure, and ToxCreate which builds and validates a predictive toxicity model based on an input toxicology dataset. Because of the extensible nature of the standardised Framework design, barriers of interoperability between applications and content are removed, as the user may combine data, models and validation from multiple sources in a dependable and time-effective way.

OpenTox provides an interoperable, standards-based Framework for the support of predictive toxicology data management, algorithms, modelling, validation and reporting. It is relevant to satisfying the chemical safety assessment requirements of the REACH legislation as it supports access to experimental data, (Quantitative) Structure-Activity Relationship models, and toxicological information through an integrating platform that adheres to regulatory requirements and OECD validation principles. Initial research defined the essential components of the Framework including the approach to data access, schema and management, use of controlled vocabularies and ontologies, architecture, web service and communications protocols, and selection and integration of algorithms for predictive modelling. OpenTox provides end-user oriented tools to non-computational specialists, risk assessors, and toxicological experts in addition to Application Programming Interfaces (APIs) for developers of new applications. OpenTox actively supports public standards for data representation, interfaces, vocabularies and ontologies, Open Source approaches to core platform components, and community-based collaboration approaches, so as to progress system interoperability goals. The OpenTox Framework includes APIs and services for compounds, datasets, features, algorithms, models, ontologies, tasks, validation, and reporting which may be combined into multiple applications satisfying a variety of different user needs. OpenTox applications are based on a set of distributed, interoperable OpenTox API-compliant REST web services. The OpenTox approach to ontology allows for efficient mapping of complementary data coming from different datasets into a unifying structure having a shared terminology and representation. Two initial OpenTox applications are presented as an illustration of the potential impact of OpenTox for high-quality and consistent structure-activity relationship modelling of REACH-relevant endpoints: ToxPredict which predicts and reports on toxicities for endpoints for an input chemical structure, and ToxCreate which builds and validates a predictive toxicity model based on an input toxicology dataset. Because of the extensible nature of the standardised Framework design, barriers of interoperability between applications and content are removed, as the user may combine data, models and validation from multiple sources in a dependable and time-effective way.