Aims: The purpose of the study was to develop principles of a strategy for influencing the psychological state of social network users using the example of the Russian-language segment of Twitter, one of the reasons for which is the lack of awareness about aspects of the coronavirus infection. Background: In contrast to the existing works on mood management and Emotion Regulation Strategies, there are principles based not on emotional regulation (cognitive reappraisal and expressive suppression), but on information processing of the content of social media messages and forums. Objective: The objective of the study was to develop principles of a strategy for reducing the psychological tension of social network users (further – Strategy) based on the Russian-language segment of Twitter. Methods: The proposed research methodology includes a study of the discussion field in the active forum of the Runet (the qualitative aspect of emotionality as a reflection of psychological tension) and the Russian-language segment of Twitter (the quantitative aspect of terminology frequency). The qualitative research consisted in isolating the sensitive words used by vaccine opponents to describe their beliefs. A multi-stage methodology has been developed for the meaningful analysis of Twitter users’ messages. Results: . The result of the study is a methodology for developing principles of the Strategy. Based on this methodology, the following aspects of the problem have been developed: 1) the principle of clarifying the definition of psychological tension; 2) the principle of comparing the user and scientific meanings of terms, taking into account the contexts of their use; 3) the principle of contextual comparison of the user’s and scientific meanings of the term; 4) the principle of visual popularization of scientific knowledge. Conclusion: An original methodology was created for developing principles of the Strategy. In contrast to the existing works on mood management and Emotion Regulation Strategies, there are principles based not on emotional regulation (cognitive reappraisal and expressive suppression [1]), but on information processing of the content of social media messages and forums. Other: A new approach to reducing the psychological tension of social media users can contribute to sharing timely, accurate and positive information about COVID-19, and reduce excessive discussions about COVID-19, which can positively affect the psychological well-being of the general public.

Background: Acne or acne vulgaris is the most common chronic inflammatory disease of the sebaceous follicles. Objectives: The present study aims to identify the main lines of research in the field of acne treatment using reproducible scientometric methods. In this article, we reviewed the following research trends: facial acne, different antibiotics, retinoids, anti-inflammatory drugs, epidermal growth factor receptor inhibitors therapy, and associated diseases. Methods: The analysis of publications from the PubMed collection was carried out from 1871 to 2022. All data were analyzed using Microsoft Excel. The evolution of the terminological portrait of the disease is shown. Results: Trends in the use of various groups of antibiotics, retinoids, anti-inflammatory drugs, and photodynamic therapy for acne treatment have been found. There is a growing interest in clindamycin and doxycycline (polynomial and exponential growth, respectively). The effects of isotretinoin are also being studied more frequently (active linear growth). The publication of studies on spironolactone is increasing (linear growth). There is also a steady interest in the use of epidermal growth factor receptor inhibitors in the recent years. There is active research on acne and polycystic ovary syndrome (exponential growth). Limitations: Only articles in English were selected. The most frequent terms were considered. Conclusions: The dynamics of publication activity in the field of acne was considered. The aim of the current scientometric study was to analyze the global trends in acne treatments. The trend analysis made it possible to identify the most explored areas of research, as well as indicate those areas in dermatology in which interest is declining.

The aim of the study is to form a set of meaningful terms to improve the precision of searches in the PubMed scientific library for information related to the early stage of breast cancer. The proposed methodology included several stages. First, an experimental array of documents retrieved from PubMed database was generated. Then two groups of terms were formed based on the documents of the array. The terms of the first group referred to the general description of the disease (general terms). The terms of the second group referred to its early stage (original terms). The terms of both groups were divided into seven categories. Next, an expert comparison was made between both groups of terms in each category. Using the methodology, the following results were obtained. The most significant terms for the general course of the disease and for the early stage were identified. The terminological portrait of breast cancer including two corresponding parts (general course and early stage) was created. The main novelty of the results obtained lies in the selection out original terms of the terminological portrait for each category. An increase in the search precision is shown when using original terms in comparison with a search based on the general terms. The using of original terms will allow medical users to retrieve the documents related to the early stage of disease.