307 research outputs found

    The small towns residents demand for the urban environment development (the case of sociological research in the Murmansk region)

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    The article looks at the specifics of living conditions in small towns in general, as well as considering their location in one of the Federal subjects of the Arctic zone of Russia. The article also justifies the necessity of developing the urban environment as a significant factor in improving the level and quality of life of the Murmansk region population. Furthermore, it raises the issue about the attitude of small towns residents in this region to the improvement of the territory. The analysis is based on the results of the sociological research conducted in 2021 among the residents of Zaozersk, Kirovsk and Kovdor towns by doing an online survey (301 respondents) and by holding a group discussion (35 participants). Despite the fact that the majority of the surveyed in these small towns represent a positive image of the town, there is an urgent need for the renewal and reconstruction of territories in residential areas, as well as the willingness of residents to directly or indirectly participate in the implementation of measures to develop the urban environment. The main results of the study concretize the needs of the small towns population for the improvement of the territory, and have an applied value for justifying applications for the competition for the best projects in urban environment development in small towns and historical settlements of Russia

    The Modern World Landscape of Data Science Online Education

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    Data science as an emerging branch of applied knowledge and a new field of study is showing a strong momentum. Besides, the corresponding sphere of educational research is actively developing. At the same time, most of the scientific publications are aimed at studying specific issues related to the content of the programs and their methodological support. The wider context and especially the international perspective are lacking for the necessary attention of researchers.In this regard, the purpose of our study was to summarize and systematize information about training programs in the field of data science presented on online platforms of the main macro-regions – America, Europe and Asia. For this purpose, we found out what elements the corpus of data science training programs consists of, as well as how courses are distributed on educational platforms by countries, organizational providers, level of education and duration of study. Based on the data obtained, we conducted a comparative interregional study of educational programs presented on online platforms.The findings made it possible to draw conclusions about the specifics of the global landscape of data science online education, as well as to determine the specifics of the Russian segment and to formulate recommendations for solving significant problems of the domestic economy using data science online education

    Synthesis, polarity, and structure of 2-chloro-N-[2-(methylsulfanyl)phenyl]- and 2-(diphenylthiophosphoryl)-N-[2-(methylsulfanyl)phenyl]acetamides

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    © 2015 Pleiades Publishing, Ltd. Conformations of 2-chloro-N-[2-(methylsulfanyl)phenyl]- and 2-(diphenylthiophosphoryl)-N-[2-(methylsulfanyl)phenyl]acetamides have been studied by the dipole moment method and quantum chemical calculations. 2-(Diphenylthiophosphoryl)-N-[2-(methylsulfanyl)phenyl]acetamide has been found to exist as an equilibrium mixture of two conformers with synclinal and anticlinal orientations of the {C-{s{p^3}}} - {C-{s{p^2}}} and P=S bonds. 2-Chloro-N-[2-(methylsulfanyl)phenyl]acetamide is represented by one preferred conformer

    Polarity and structure of P(X)-modified (X = O, S) arylcarbamoylmethylphosphine oxides and sulfides

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    © 2016, Pleiades Publishing, Ltd.As shown by the dipole moment method and quantum chemical calculations, (arylcarbamoylmethyl) diphenylphosphine oxides and sulfides exist as equilibrium mixtures of several rotational isomers stabilized by H · · · X intramolecular hydrogen bonds (X = O, S). The most energetically favorable rotamer and its fraction have been determined for each compound

    Quality assessment of flavonoids containing raw materials of different companies-manufacturers

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    A spectrophotometric analysis of alcohol extracts was carried out by Bidentis herba, Bursae pastoris herba, Polygoni avicularis herba from different manufacturers. The total content of flavonoids in the analyzed raw materials was determined. The results of assessing the quality of flavonoid-containing plant materials are shown.Проведен спектрофотометрический анализ спиртовых извлечений травы череды, пастушьей сумки и горца птичьего (спорыша) разных фирм-производителей. Определено суммарное содержание флавоноидов в анализируемом сырье. Показаны результаты оценки качества флавоноидсодержащего растительного сырья

    Effect of fertilizers on leaf biological activity Silybum marianum (L.) gaertn

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    The article deals with new raw materials for the pharmaceutical industry – S. marianum leaves. By means of macroscopic and microscopic analyses the main diagnostic signs of raw materials are defined. The influence of mineral fertilizers on the accumulation of flavonoids in the leaves of S. marianum was also established.В статье рассмотрено новое для фармацевтической отрасли сырье – листья S. marianum. С помощью макроскопического и микроскопического анализов определены основные диагностические признаки сырья. Также установлено влияние минеральных удобрений на накопление флавоноидов в листьях S. marianum

    Comparative analysis of anatomical, morphological and biochemical features of some representatives of the genus Crataegus

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    The purpose of the study is to identify anatomical, morphological, and biochemical features of individual hawthorn species.Цель исследования – выделить анатомо-морфологические и биохимические особенности отдельных видов боярышника

    Artificial intelligence in clinical physiology: How to improve learning agility

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    Clinical physiology involves a complete, comprehensive, multilateral study of the functions of both affected and healthy organs, which allows us to assess the compensatory capabilities of the body. Artificial intelligence is increasingly being used in medicine, including in clinical physiology. This is facilitated by the increase in computing processing power, development of cloud services and datasets, and numerous scientific articles demonstrating the effectiveness and viability of such intelligent solutions. Although the approach to medical dataset development is generally similar, there are a number of key features and significant differences in clinical physiology. Artificial intelligence systems in clinical physiology may be effectively trained and applied in practice by following the recommendations in this study. The national standard of the Russian Federation GOST R 59921.9-2022, which has entered into force, is included in the set of standards Artificial Intelligence systems in clinical medicine and establishes additional requirements for data analysis algorithms and test methods of artificial intelligence systems used in the field of clinical physiology. A crucial feature of the created standard is its qualimetric type (i.e., it has a mandatory set of demonstration data). Russia is one of the first countries to start developing quasi-metric standards worldwide, and 15 industry standards in the field of artificial intelligence (2 of them in medicine) will come into force this year
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