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September 18, 2026
When Pictures Hinder Understanding: Illustrations May Impede Learning of Abstract Ideas
Illustrations can help remember specific actions but do not always make abstract ideas easier to learn. Researchers from HSE University and Humboldt University compared how people learn from texts with different levels of abstractness. They found that participants remembered illustrations better and performed better on related tasks after reading a multimedia text about yoga asanas than after reading an abstract text about the Nash equilibrium. The findings could help improve the selection of illustrations for educational and informational materials. The study has been published in Learning and Instruction.
September 17, 2026
'I Wish That People Would Place Greater Trust in Science'
When Tatiana Eremicheva chose Fundamental and Computational Linguistics as her field of study, she thought it would be about learning languages. Instead, she discovered it was about helping people. In this interview for the HSE Young Scientists project, she discusses science as a way of understanding the world, billiards as a team-building activity, and why learning to read is not always as easy as it seems.
September 15, 2026
Immunity to Chaos: How Personal Resources Help Us Cope with the Challenges of a Turbulent World
International conflicts, crises and digital overload—the modern world puts our minds to the test every day. Traditional psychology often focuses on the consequences: anxiety, depression, and psychosomatic disorders. But what if we looked at the problem differently—through the lens of the resources that prevent us from breaking down? Psychological immunity is precisely this set of resources. Alena Zolotareva and her group, Psychological Immunity as a Resource for Positive Functioning, are developing an integrative model of this phenomenon, adapting diagnostic tools and preparing for large-scale empirical research. Why do psychologists need to collaborate with medical professionals, and how could their research transform preventive care in clinics and corporations?

 

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Advances in Intelligent Systems and Computing

Vol. 850: Digital Science. Switzerland : Springer, 2019.

The series “Advances in Intelligent Systems and Computing” contains publications on theory, applications, and design methods of Intelligent Systems and Intelligent Computing. Virtually all disciplines such as engineering, natural sciences, computer and information science, ICT, economics, business, e-commerce, environment, healthcare, life science are covered. The list of topics spans all the areas of modern intelligent systems and computing such as: computational intelligence, soft computing including neural networks, fuzzy systems, evolutionary computing and the fusion of these paradigms, social intelligence, ambient intelligence, computational neuroscience, artificial life, virtual worlds and society, cognitive science and systems, Perception and Vision, DNA and immune based systems, self-organizing and adaptive systems, e-Learning and teaching, human-centered and human-centric computing, recommender systems, intelligent control, robotics and mechatronics including human-machine teaming, knowledge-based paradigms, learning paradigms, machine ethics, intelligent data analysis, knowledge management, intelligent agents, intelligent decision making and support, intelligent network security, trust management, interactive entertainment, Web intelligence and multimedia.

The publications within “Advances in Intelligent Systems and Computing” are primarily proceedings of important conferences, symposia and congresses. They cover significant recent developments in the field, both of a foundational and applicable character. An important characteristic feature of the series is the short publication time and world-wide distribution. This permits a rapid and broad dissemination of research results.

This book contains a selection of papers accepted for the presentation and discussion at the 2018 International Conference on Digital Science (DSIC’18). This Conference had the support of the Institute of Certified Specialists, Russia, AISTI (Iberian Association for Information Systems and Technologies), and Springer. It will take place at Convention Centre, Budva, Montenegro, October 19–21, 2018. DSIC’18 is an international forum for researchers and practitioners to present and discuss the most recent innovations, trends, results, experiences, and concerns in the several perspectives of Digital Science. The main idea of this Conference is that the world of science is unified and united allowing all scientists/practitioners to be able to think, analyze, and generalize their thoughts. DSIC aims efficiently to disseminate original research results in natural, social, art, and humanities sciences. An important characteristic feature of the Conference should be the short publication time and worldwide distribution. This Conference enables fast dissemination, so conference participants can publish their papers in print and electronic format, which is then made available worldwide and accessible by numerous researchers. The Scientific Committee of DSIC’18 was composed of a multidisciplinary group of 26 experts. One hundred and seven invited reviewers who are intimately concerned with Digital Science have had the responsibility for evaluating, in a “double-blind review” process, the papers received for each of the main themes proposed for the Conference: Digital Art and Humanities; Digital Economics; Digital Education; Digital Engineering; Digital Environmental Sciences; Digital Finance, Business and Banking; Digital Media; Digital Medicine, Pharma and Public Health; Digital Public Administration; Digital Technology and Applied Sciences.

DSIC’18 received 88 contributions from 16 countries around the world. The papers accepted for the presentation and discussion at the Conference are published by Springer (this book) and will be submitted for indexing by ISI, SCOPUS, among others.

Chapters
Neural Network System for Medical Diagnostic of Gastrointestinal Diseases
Khlinova O. V., Yasnitsky L., Skachkova I. V., , in: Advances in Intelligent Systems and ComputingVol. 850: Digital Science.: Switzerland: Springer, 2019. P. 359–365.
This article describes development experience of the neural network system for medical diagnostic of gastrointestinal diseases. There was used patient’s practical medical information for its creation. As input parameters were taken into consideration different factor groups, include demographic, patient’s complaints, life history, medical history and additional methods of research. Neural network model allowed making a significance assessment of factors, which have ...
Added: January 10, 2019
Self-adaptive Intelligent System for Mass Evaluation of Real Estate Market in Cities
Alexeev A., Alexeeva I., Yasnitsky L., , in: Advances in Intelligent Systems and ComputingVol. 850: Digital Science.: Switzerland: Springer, 2019. P. 81–87.
This article is devoted to the method of creating an intelligent neural network system. Unlike existing similar systems, the proposed system does not require frequent updates, because it is able to adapt itself to the constantly changing state of the economy and to the peculiarities of a particular region. Besides, the proposed system allows performing scenario forecasting of regional real ...
Added: January 10, 2019
Application of Matrix Fuzzy Logic in Machine Independent Temperature Controller
Seletkov I. P., Yasnitsky L., , in: Advances in Intelligent Systems and ComputingVol. 850: Digital Science.: Switzerland: Springer, 2019. P. 443–449.
The article deals with the problem of creating a temperature regulator, which does not require preliminary tuning for a specific production plant. Authors proposed to use a matrix approach of fuzzy logic for this purpose. It allows engineers to apply the linguistic rules formulated in the most general form for industrial processes control. It also allows building simple control algorithms ...
Added: January 10, 2019
Dynamic Artificial Neural Networks as Basis for Medicine Revolution
Yasnitsky L., Dumler A., Cherepanov F., , in: Advances in Intelligent Systems and ComputingVol. 850: Digital Science.: Switzerland: Springer, 2019. P. 351–358.
This article proposes a method of constructing dynamic neural network mathematical models that allow not only to diagnose the disease at the current time, but also to simulate the appearance and development of diseases in future periods of time, as well as to control their appearance and development by selecting the optimal lifestyle and optimal intake of drugs. It ...
Added: January 10, 2019
Research target: Education Economics and Management Health Studies Clinical Medicine Basic Medicine Medical and Health Sciences Medical Technologies Computer Science
Priority areas: economics management humanitarian IT and mathematics business informatics engineering science
Language: English
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Keywords: искусственный интеллектцифровая экономикаartificial intelligenceцифровая медицинаdigital economicsцифровое образованиеDigital EducationDigital EngineeringDigital Environmental SciencesDigital FinanceDigital Medicineцифровая инженерия
Advances in Intelligent Systems and Computing
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