Institute Of Informatics Research Articles

СПЕЦИАЛИЗИРОВАННАЯ МЕДИЦИНСКАЯ ПОМОЩЬ ПАЦИЕНТАМ С СЕРДЕЧНО-СОСУДИСТЫМИ ЗАБОЛЕВАНИЯМИ: ОТДЕЛЬНЫЕ АСПЕКТЫ

Significance. Diseases of the circulatory system are a class of diseases of high social importance and a reservoir for reducing mortality and increasing life expectancy, primarily through improving specialized medical care for working-age patients. The purpose of this study is to assess the results of improving specialized medical care for cardiovascular patients under the federal project “Fight against cardiovascular diseases”. Material and Methods. The analysis is based on data from statistical collections of the Federal Research Institute for Health Organization and Informatics of the Ministry of Health of the Russian Federation, and was focused on evaluating target and actual indicators of the federal project “Fight against cardiovascular diseases”. The content analysis of normative legal documents regulating provision of medical care to patients with cardiovascular diseases has been undertaken. Results. Results of the federal project implemented from October 1st, 2018 to December 31st, 2023, are as follows: 374 regional vascular centers and primary vascular departments were re-equipped (retrofitted); more than 310,000 therapeutic X-ray endovascular interventions were performed; 95.5% of patients who underwent through major cardiovascular surgery are provided with free medications; more than 70% of patients with a high risk of acute cardiovascular event are under medical follow-up and received medical care; hospital mortality from myocardial infarction is under 10%, and hospital mortality from acute cerebrovascular accidents is under16.2%. The standardized mortality rate from diseases of the circulatory system in Russia as a whole decreased by 6.0% in 2022 compared to 2018 and equaled to 408.8 per 100,000population. Conclusion. Implementation of the federal project “Fight against cardiovascular diseases” has made it possible to increase effectiveness of specialized medical care delivery in the Russian Federation primarily due to improved material and technical resources of health care facilities. Coverage of cardiovascular patients with quality clinical follow-up is a hard-to-implement component of the overall process of care delivery to such patients, requiring on-going improvements in the implementation approaches. Progress towards this target is the lowest. In order to achieve quality results in reducing morbidity and mortality from cardiovascular diseases, it is important to timely improve the regulatory framework rather than only develop the resource component.

Venn Diagrams Tasks for Concept Formation in the Elementary School

Opportunities to use Venn diagram tasks for concept formation in elementary school are presented. The results of solving such tasks by students in 3rd and in 4th grade in the online competition "VIVA Mathematics with a computer" organized by the Institute of Mathematics and Informatics of the Bulgarian Academy of Sciences were analyzed. An illustration was made with similar tasks from other subject areas, inverse tasks were discussed, the role of computer models for their compilation and the competitions for their distribution.

Анализ резул ьтатов математи ческого моделирования влияния санкций на сел ьское хозяйство Южного федерал ьного округа РФ

The article presents a scenario analysis of the possible consequences of the current sanctions on agriculture in the Southern Federal District of the Russian Federation. The study is based on the spatial model of partial equilibrium in the wholesale markets of agricultural products of the subjects of the Russian Federation of the Federal State Budgetary Institution “All-Russian Institute of Agrarian Problems and Informatics named after A.A. Nikonov” – Branch of the Federal State Budgetary Scientific Institution “Federal Research Center of Agrarian Economy and Social Development of Rural Areas – All-Russian Research Institute of Agricultural Economics”. The methodology of using the results of modelling to assess the impact of sanctions on agriculture in the Southern Federal District is proposed. The main threats caused by illegal sanctions are considered: reduction of the machine and tractor fleet and barriers to the export of manufactured products. During the analysis the volumes of production and consumption of the main types of agricultural products in the Southern Federal District were studied. Conclusions are drawn on the impact of the sanctions on the region’s dependence on external supplies of livestock products, namely: the deterioration of the agribusiness situation, violations of the reproductive process will sooner or later lead to a decline in agricultural production, which will cause instability in the situation of food supply to the population. Special attention is paid to the consideration of cash flows of the grain industry of the Southern Federal District. The possible impact of the sanctions on agricultural foreign trade is assessed in the context of scenarios. The special role of the state in overcoming agricultural crises is highlighted: financial support for local agricultural producers and the development of measures to eliminate the negative impact of export barriers. On the basis of the identified trends, the conclusions on the negative impact of the sanctions on the agricultural sector are formulated, namely: their serious negative impact on food security of the population, participants in foreign economic activity and on the financial situation of agriculture has been established.

Г.Г. Дядченко и история математического образования КБР в 90-х годах XX века

The article describes the main biography milestones of Grigory Grigoryevich Dyadchenko, Candidate of Physical and Mathematical Sciences, Associate Professor, Scientific Secretary of the Institute of Informatics and Problems of Regional Management of the Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences, who made a significant contribution to the development of the system of general and additional education in Kabardino-Balkaria. Grigory Grigoryevich Dyadchenko is known not only as a lecturer at the Kabardino-Balkarian State University named after H.M. Berbekov, Kabardino-Balkarian Agro-Reclamation Institute (now Kabardino-Balkarian State Agricultural University named after V.M. Kokov), the Institute for Advanced Training of the Ministry of Education and Science of the KabardinoBalkarian Republic (later Institute of Advanced Training of KBSU), the Kabardino-Balkarian Institute of Business and the head of the school mathematical circles, whose students succeeded at the regional and federal levels in scientific and practical conferences for school children, but also at the All-Russian level as a specialist in the methodology of studying the stochastic line at school, as the main developer of the educational subject "Patterns of the surrounding world" in the experimental model of the school "Ecology and dialectics".

14th Conference on DATA ANALYSIS METHODS for Software Systems

DAMSS-2023 is the 14th International Conference on Data Analysis Methods for Software Systems, held in Druskininkai, Lithuania. Every year at the same venue and time. The exception was in 2020, when the world was gripped by the Covid-19 pandemic and the movement of people was severely restricted. After a year’s break, the conference was back on track, and the next conference was successful in achieving its primary goal of lively scientific communication. The conference focuses on live interaction among participants. For better efficiency of communication among participants, most of the presentations are poster presentations.
 This format has proven to be highly effective. However, we have several oral sections, too. The history of the conference dates back to 2009 when 16 papers were presented. It began as a workshop and has evolved into a well-known conference. The idea of such a workshop originated at the Institute of Mathematics and Informatics, now the Institute of Data Science and Digital Technologies of Vilnius University. The Lithuanian Academy of Sciences and the Lithuanian Computer Society supported this idea, which gained enthusiastic acceptance from both the Lithuanian and international scientific communities. This year’s conference features 84 presentations, with 137 registered participants from 11 countries. The conference serves as a gathering point for researchers from six Lithuanian universities, making it the main annual meeting for Lithuanian computer scientists. The primary aim of the conference is to showcase research conducted at Lithuanian and foreign universities in the fields of data science and software engineering. The annual organization of the conference facilitates the rapid exchange of new ideas within the scientific community. Seven IT companies supported the conference this year, indicating the relevance of the conference topics to the business sector. In addition, the conference is supported by the Lithuanian Research Council and the National Science and Technology Council (Taiwan, R. O. C.). The conference covers a wide range of topics, including Applied Mathematics, Artificial Intelligence, Big Data, Bioinformatics, Blockchain Technologies, Business Rules, Software Engineering, Cybersecurity, Data Science, Deep Learning, High-Performance Computing, Data Visualization, Machine Learning, Medical Informatics, Modelling Educational Data, Ontological Engineering, Optimization, Quantum Computing, Signal Processing. This book provides an overview of all presentations from the DAMSS-2023 conference.

Efficacy and safety of intraperitoneal dexamethasone on postoperative nausea and vomiting following laparoscopy: study protocol for a systematic review and meta-analysis

IntroductionIntraperitoneal dexamethasone has been reported to be effective to reduce the incidence of postoperative nausea and vomiting (PONV). Therefore, this meta-analysis will analyse the efficacy and safety of intraperitoneal dexamethasone...

Determinants of Out-of-Pocket Health Spending in Households in Peru in the Times of the Pandemic (COVID-19).

In 2021, the expenses paid by households worldwide due to COVID-19 showed an increasing behavior and directly affected economic income since they were part of unforeseen expenses among households and became a factor that contributed to the increase in the levels of poverty mainly in households that were not part of the health system. The objective of this research was to establish the main determinants of out-of-pocket spending on health in Peruvian households in the times of the pandemic. A quantitative approach, of a nonexperimental type, with a descriptive and correlational methodological design was considered. The database of the National Household Survey of the National Institute of Statistics and Informatics for 2021 was used as a source of information, applying the binomial logit econometric model. Out-of-pocket expenses during the pandemic compared to normal periods were shared by the members of the households. Since they were part of unforeseen expenses, these expenses mainly impacted the heads of the households and strongly affected household budgets. For this reason, the type of insurance, the suffering of household members from a disease, the results of tests for COVID-19, the expenditure on individual health, the existence of permanent limitations to any member of the household, the presence of an older adult in the household, and the marital status of the head of the household determined and positively influenced out-of-pocket spending in households in Peru with 36.85, 8.48, 6.50, 0.0065, 23.73, 16.79, and 2.44 percentage units. However, the existence of a drinking water service in the household, educational level, and the area of residence determined and negatively influenced out-of-pocket spending in households in Peru with 4.81, 6.75, and 19.26 percentage units, respectively. The type of insurance, the suffering of an individual from a disease, the results of COVID-19 tests, health spending, the existence of permanent limitations, the presence of an older adult in the household, and the marital status of the head of the household positively determined out-of-pocket spending in households in Peru, while the existence of a potable water service, educational level, and the area of residence determined out-of-pocket expenses in a negative or indirect way.

Second Information Day: Research Infrastructure Services in the Humanities and Social Sciences

The main results of the work of the team of Institute of Mathematics and Informatics at the Bulgarian Academy of Sciences on the project CLaDA- BG – the Bulgarian National Interdisciplinary Research e-Infrastructure for Resources and Technologies in Favor of the Bulgarian Language and Cultural Heritage, Part of the EU Infrastructures CLARIN and DARIAH, will be presented during the Information Day within the DiPP2023 conference. The main emphasis will be placed on current and ongoing developments and implementations of CultIS - a web-based software platform for the intelligent digital management and presentation of large data sets and knowledge from the field of culture, humanities and social sciences.

The impact of entrepreneurship, learning organization, organizational flexibility, and customer orientation on service quality: a study among IBII Jakarta lecturers

As higher education institutions strive to deliver excellence, it is imperative to identify the key factors that can drive improvements in service quality and empower institutions to meet the evolving needs of students and stakeholders. The objective of this research is to obtain information concerning the effect of entrepreneurship, organizational flexibility, learning organization and customer orientation on the service quality of higher education. This study was conducted in The Indonesian Institute of Business and Informatics (IBII) by using survey method with path analysis applied in testing hypothesis. The number of 60 founded lectures as a sample is selected by simple random sampling. The research findings are as follows: entrepreneurship has a direct impact on organizational learning, customer orientation, and the quality of higher education services. Organizational flexibility also directly influences these three aspects. However, there is no direct impact of organizational learning on customer orientation. Customer orientation has a direct impact on the quality of higher education services. The result of this research could imply that in developing and empowering the service quality of higher education, entrepreneurship, organizational flexibility, learning organization and customer orientation should be taken into account.

Regional Academic Centers and Their Role for Digitalization of the Cultural and Historical Heritage of the Black Sea Region

Regional academic centers in the country create opportunities for applying an interdisciplinary approach in research, education and, above all, effective applied results serving business, municipal and national management organizations and institutions. One of the main activities of the Association "Regional Academic Center of Bulgarian Academy of Sciences" in Burgas is participation in the development of methods and technologies for digitalization of the cultural and historical heritage of the Black Sea region. The outsourced unit of the Institute of Mathematics and Informatics of the Bulgarian Academy of Sciences carries out digitization activities of the cultural and scientific heritage of the region, having so far participated in activities to create digital libraries for the iconic collection of the Burgas History Museum and for the collections of the Regional Library "Peyo Yavorov" Burgas.

Digital Revival of the Bulgarica Collection of the Central Library of the Bulgarian Academy of Sciences

This paper presents the development of a digital library, created for the needs of the Central Library of the Bulgarian Academy of Sciences. Based on previous work by the team from the Institute of Mathematics and Informatics at the Bulgarian Academy of Sciences, this new environment exemplifies the employment of state-of-the-art digital technologies for the presentation of scientific literary heritage, in this case the Bulgarica Collection – the advancements of the researchers in the field of Bulgarian studies in the 1980s. The development is also a component of the research e-infrastructure CLADA-BG.

Quantity Knowledge Extraction and Search

Vinh Thinh Ho is an applied scientist at Amazon Development Center, working in Alexa AI-NLU team. He completed his PhD at Max Planck Institute for Informatics, under the supervision of Prof. Gerhard Weikum. His research broadly covers the area of semantic web, with main focuses on knowledge bases, quantity search, information extraction and retrieval, rule mining and NLP. This research conducted by Vinh Thinh Ho developed new methods for the extraction and search of quantity knowledge over web contents. Quantities are more than mere numbers. They represent measurements of various entities in the world, such as the heights of buildings, the timings of athletes, the energy efficiency of car models, or the energy production of power plants, all expressed in numbers with associated units. While modern search engines effectively support entity-centric searches and question answering, they struggle when the queries involve quantity filters, such as searching for athletes who ran 200m under 20 seconds or companies with quarterly revenue above $2 Billion. These systems fail to understand the quantities, including the condition (less than, above, etc.), the unit of interest (seconds, dollar, etc.), and the context of the quantity (200m race, quarterly revenue, etc.). QA systems based on structured knowledge bases also fail as quantities are poorly covered by state-of-the-art KBs. We developed new methods to overcome these limitations and advance the state-of-the-art on quantity knowledge extraction and search.

ОТНОСНО ТЕХНОЛОГИЯТА ПО ВНЕДРЯВАНЕ НА ИНТЕГРАТИВЕН ПОДХОД В ИНОВАТИВНО УЧИЛИЩЕ

The scholastic year 2022/2023 includes the final stage of the joint initiative of 125. Secondary School – Sofia and the Institute of Mathematics and Informatics at the BAS for the pilot implementation of an educational model for integrated learning in an innovative school. The technological scheme follows Altshuler’s TRIZ methodology. The article briefly describes the moments of the individual stages – specific problems and their solutions at the school level are presented. The results of the conducted research are analyzed. Identified are measures that should be taken by the teaching and management team of the school in order to move from the pilot implementation to regular pedagogical practice. Examples of project-oriented initiatives presented by students at school and regional forums are provided.

System of Professional Retraining within the “Methodology of Teaching Mathematics” Program

The article presents approaches to the organization of professional retraining based on the achievements of andragogy. The article highlights the main principles of professional retraining such as subjectivity, interdisciplinary links, individualization of learning, predominance of independent activity of students, cooperation in learning and cognitive activity. The article considers the components of the system of such retraining on the program “Methods of teaching mathematics”, providing the acquisition of a new qualification – a teacher of mathematics in a secondary school. The article considers the following: objectives; content of training, adequate to the objectives; principles of training, influencing the selection of content, methods, forms and means of training. Examples of the implementation of these principles in the system of professional retraining are given, as well as the results of questionnaire survey of students who have completed the training. The list of references includes references to the curriculum and program of the professional retraining course implemented at the Institute of Mathematics and Informatics of Moscow Pedagogical State University

Activities of National Institute of Informatics in Japan

research-article Free Access Share on Activities of National Institute of Informatics in Japan Authors: Masaru Kitsuregawa University of Tokyo, Japan University of Tokyo, JapanSearch about this author , Shigeo Urushidani National Institute of Informatics, Tokyo, Japan National Institute of Informatics, Tokyo, JapanSearch about this author , Kazutsuna Yamaji National Institute of Informatics, Tokyo, Japan National Institute of Informatics, Tokyo, JapanSearch about this author , Hiroki Takakura National Institute of Informatics, Tokyo, Japan National Institute of Informatics, Tokyo, JapanSearch about this author , Ichiro Hasuo National Institute of Informatics, Tokyo, Japan National Institute of Informatics, Tokyo, JapanSearch about this author , Imari Sato National Institute of Informatics, Tokyo, Japan National Institute of Informatics, Tokyo, JapanSearch about this author , Fuyuki Ishikawa National Institute of Informatics, Tokyo, Japan National Institute of Informatics, Tokyo, JapanSearch about this author , Isao Echizen National Institute of Informatics, Tokyo, Japan National Institute of Informatics, Tokyo, JapanSearch about this author , Kensaku Mori Nagoya University, and Director of NII Research Center for Medical Bigdata, Tokyo, Japan Nagoya University, and Director of NII Research Center for Medical Bigdata, Tokyo, JapanSearch about this author Authors Info & Claims Communications of the ACMVolume 66Issue 7July 2023pp 58–63https://doi.org/10.1145/3589736Published:22 June 2023Publication History 0citation0DownloadsMetricsTotal Citations0Total Downloads0Last 12 Months0Last 6 weeks0 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteView all FormatsPDF

Systematic review and meta-analysis of the anti-obesity effect of cupping therapy.

Cupping therapy is a common practice in Korean medicine. Despite developments in this clinical and research area, the current knowledge is insufficient to identify the effects of cupping therapy on obesity. We aimed to assess the effects and safety of cupping therapy on obesity by performing a systematic review and meta-analysis of the effects of cupping therapy. A systematic search of databases was conducted, including MEDLINE/PubMed, EMBASE, Cochrane Central Register of Controlled Trials, Chinese National Knowledge Infrastructure, Citation Information by the National Institute of Informatics, KoreaMed, Oriental Medicine Advanced Searching Integrated System, and ScienceON, for full-text randomized controlled trials (RCTs) published through January 14, 2023, with no language restrictions. The experimental groups received cupping therapy combined with traditional Chinese medicine (TCM) and conventional therapy. The control groups received no treatment, conventional therapy, or TCM treatments alone. The experimental and control groups were compared in terms of body weight (BW), body mass index (BMI), hip circumference (HC), waist circumference (WC), waist-hip ratio (WHR), and body fat percentage (BFP). We evaluated the risk of bias using the 7 domains stipulated by the Cochrane Collaboration Group and performed a meta-analysis using Cochrane Collaboration software (Review Manager Software Version 5.3). A total of 21 RCTs were included in this systematic review and meta-analysis. The analysis revealed improvements in BW (P < .001), BMI (P < .001), HC (P = .03), and WC (P < .001). However, there were no clinically significant changes in WHR (P = .65) or BFP (P = .90), both of which had very low certainty of evidence. No adverse events were reported. Overall, our results show that cupping therapy can be used to treat obesity in terms of BW, BMI, HC, and WC and is a safe intervention for the treatment of obesity. However, the conclusions of this review should be interpreted with caution in clinical practice because of the uncertain quality of the included studies.

Integrative medicine using East Asian herbal medicine for inflammatory pain in patients with rheumatoid arthritis: A protocol for systematic review and meta-analysis integrated with multiple data mining for core candidate discovery.

Rheumatoid arthritis is a chronic inflammatory autoimmune disease characterized by a wide range of clinical symptoms affecting various bodily functions, including skeletal, vascular, metabolic, and cognitive functions. This review aimed to evaluate the efficacy and safety of integrative medicine (East Asian herbal medicine combined with conventional medicine) used for the treatment of inflammatory pain in rheumatoid arthritis and to identify key candidate drugs based on the data. A comprehensive literature search will be conducted in 4 core databases (PubMed, Excerpta Medica database, Cochrane Library, and Cumulative Index to Nursing & Allied Health Literature) 4 Korean databases (Oriental Medicine Advanced Searching Integrated System, Korean Studies Information Service System, Research Information Service System, and Korea Citation Index), 2 Chinese databases (Chinese National Knowledge Infrastructure Database and Wanfang data), and 1 Japanese database (Citation Information by National Institute of Informatics) for randomized controlled trials from December 13, 2022. Statistical analysis will be performed using R version 4.1.2 and R Studio program. The American College of Rheumatology 20/50/70 score and rate of adverse events will be the primary outcomes. All outcomes will be analyzed using a random-effects model to produce more statistically conservative results. Sensitivity, meta-regression, and subgroup analyses will be used to identify the sources of any heterogeneity in the study. The revised tool for assessing the risk of bias in randomized trials, version 2.0, will be used to evaluate methodological quality. The overall quality of evidence will be assessed according to the Grading of Recommendations Assessment, Development, and Evaluation Pro Framework. There are no ethical issues, as no primary data will be collected directly from the participants. The results of this review will be reported in a peer-reviewed scientific journal. PROSPERO registration number: CRD42023412385.

Public Services in the Household and Their Effect on Poverty, Analysis for the Peruvian Case, 2021

The objective of the research was to determine the effect of public services in the household on poverty in Peru, in the period 2021, for which a quantitative, non-experimental research approach was considered with a descriptive and correlational design. The information from the National Household Survey of the National Institute of Statistics and Informatics (INEI) database was used, considering the modules “Dwelling and Household Characteristics”, “Household Members’ Characteristics”, “Education”, “Employment and Income”, “Household Equipment”, “Summaries (Calculated Variables)” and “Citizen Participation”. It was possible to determine that the following variables had negative effects on household poverty in Peru: access to potable water, sanitation, electric power, cell phone services; achieving higher, secondary, and primary education levels; having a washing machine, motorcycle, tricycle, motorcycle taxi, computer, kitchen, refrigerator in the household; having a property title; being part of an association or organization; living in a rural residence area; and having remittances. However, the number of household members had a positive effect on poverty. Therefore, it was concluded that access to public services in the household contributed to reducing the probability of being poor in Peru.

Android-Based Mobile Application for the Control of Anemia in Children Aged 6 to 23 Months Old in the District of Comas – Lima

One of the main health problems facing the country is iron deficiency anemia. This condition reduces the level of hemoglobin present in the blood, which produces symptoms that affect the sufferer's daily activities. According to the INEI (National Institute of Statistics and Informatics), the urban area has 36.7% of anemia, and Comas is the second district of the capital (Lima) with the second highest rate of anemia with 43.4%. This article proposes a technological solution that allows the control and prevention of iron deficiency anemia in children from 6 to 23 months old in Comas through the follow-up of the screenings performed and by improving eating habits. The result obtained was an Android-based mobile application with three navigation options. The Children option allows the registration of each screening performed and notifies the level of anemia present in the child, the Home option displays information about this condition, and the Kitchen Recipes option is responsible for enriching the child's diet by presenting a highly nutritious recipe book, categorized according to age range. It also obtained a 90% positive acceptance rate from the sample population identified as users and patients, and a daily screening was recorded. This result can be applied to any coastal area of the country and, therefore, contributes to improving the quality of life of children by reducing anemia rates.

Preface

Preface&#x0D; The 19th International Symposium on Scientific Computing, Computer Arithmetic and Verified Numerical Computation (SCAN) was originally planned to be organized by the Institute of Informatics of the University of Szeged (SZTE) in Szeged, Hungary, in the year 2020. Due to the pandemic situation, the Scientific Committee of SCAN decided to postpone the meeting to September 13–15, 2021 and to have it in a fully online format.The members of the Scientific Committee were the following representatives of the topics of the conference: G. Alefeld (Karlsruhe, Germany), A. Bauer (Ljubljana, Slovenia), J. B. van den Berg (Amsterdam, the Netherlands), G.F. Corliss (Milwaukee, USA), T. Csendes (Szeged, Hungary), R.B. Kearfott (Lafayette, USA), V. Kreinovich (El Paso, USA), J.-P. Lessard (Montreal, Canada), W. Luther (Duisburg, Germany), S. Markov (Sofia, Bulgaria), G. Mayer (Rostock, Germany), J.-M. Muller (Lyon, France), M. Nakao (Tokyo, Japan), T. Ogita (Tokyo, Japan), S. Oishi (Tokyo, Japan), K. Ozaki (Tokyo, Japan), M. Plum (Karlsruhe, Germany), A. Rauh (Brest, France), N. Revol (Lyon, France), J. Rohn (Prague, Czech Republic), S. Rump (Hamburg, Germany/Tokyo, Japan), S. Shary (Novosibirsk, Russia), W. Tucker (Uppsala, Sweden), W. Walter (Dresden, Germany), J. Wolff von Gudenberg (Würzburg, Germany), and N. Yamamoto (Tokyo, Japan). The members of the Organizing Committee were: Balázs Bánhelyi, Tibor Csendes, Boglárka G.-Tóth, Viktor Homolya, Tamás Vinkó, and Dániel Zombori. During SCAN, more than 50 participants were present and 48 talks in several fields of reliable computation and its applications were given, and organized in 18 thematic sessions. The plenary speakers were Fabienne Jézéquel (Sorbonne University, France), Marko Lange (Hamburg University of Technology, Germany), J.D. Mireles James (Florida Atlantic University, USA), together with the Moore Prize winners Marko Lange and Siegfried Rump (Waseda University, Japan).The open-access scientific journal Acta Cybernetica offered to publish paper versions of selected presentations after a careful peer review process. Altogether, 7 papers were accepted for publication in the present special issue of Acta Cybernetica. The full program of the conference, the collection of all abstracts, and further information can be found at https://www.inf.u-szeged.hu/scan2020/.&#x0D; Andreas Rauh, Balázs Bánhelyi Guest Editors