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News
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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Data Analysis and Optimization for Engineering and Computing Problems

Springer, 2020.
Editor-in-chief: P. Vasant, I. Litvinchev, J. A. Marmolejo-Saucedo, R. Rodriguez-Aguilar, F. Martinez-Rios
Chapters
An Heuristic Algorithm to Calculate the Minimum Amount of Anesthesia Using MRI
González-Martín E., Sosa Gómez G., Rojas O., , in: Data Analysis and Optimization for Engineering and Computing Problems.: Springer, 2020. P. 27–38.
Added: September 18, 2026
An Application of Hadamard Transform to Test Stream Ciphers
Sosa Gómez G., Rojas O., Páez-Osuna O., , in: Data Analysis and Optimization for Engineering and Computing Problems.: Springer, 2020. P. 255–262.
Added: September 18, 2026
Language: English
Keywords: optimizationdata analysis
Data Analysis and Optimization for Engineering and Computing Problems
Similar publications
Modelos y técnicas de optimización aplicados a problemas de transporte
Sánchez Ansola E., Rosete Suárez A., S. González L. et al., Anales de la Academia de Ciencias de Cuba (Куба) 2024 Vol. 14 No. 2 Article e1596
Added: September 18, 2026
NeurIPS 2024 Optimization for ML Workshop
[б.и.], 2025.
Added: February 5, 2026
Investigating the analytical robustness of the social and behavioural sciences
Aczel B., Szaszi B., Clelland H. et al., Nature 2026 Vol. 652 P. 135–142
The same dataset can be analysed in different justifiable ways to answer the same research question, potentially challenging the robustness of empirical science. ...
Added: January 27, 2026
Method of Automated Dataset Collection for Microwave Filters Synthesis
Arinin O. V., Bakhmach D. M., Katsnelson A. et al., , in: 2025 Systems of Signals Generating and Processing in the Field of on Board Communications.: IEEE, 2025. P. 1–5.
This research discusses the method of dataset collection automatization for microwave filter synthesis by integrating machine learning techniques, thus reducing development time. Utilizing the 3D electromagnetic analysis software package, the study involves simulation and collecting geometric parameters and amplitude-frequency characteristics from three variants of passband highly selective microstrip tworesonator combined filters with stepped impedance resonators. ...
Added: December 6, 2025
Numerical Computations: Theory and Algorithms. 4th International Conference, NUMTA 2023, Pizzo Calabro, Italy, June 14–20, 2023, Revised Selected Papers, Part I
Springer Publishing Company, 2025.
The three-volume set LNCS 14476-14478 constitutes the post conference proceedings of the 4th International Conference on Numerical Computations: Theory and Algorithms, NUMTA 2023, held in Pizzo Calabro, Italy, during June 14–20, 2023. The 45 full papers presented in this book together with 60 short papers were carefully reviewed and selected from 170 submissions. The papers focus on ...
Added: November 23, 2025
Physics-Informed Bayesian Optimization for Conformational Ensemble Augmentation
Medvedev M., Journal of Chemical Information and Modeling 2025 Vol. 65 No. 12
Added: November 12, 2025
Optimization of Multi-Currency Deposit Structure by Two Indicators (Income and Risk) under Uncertainty
Molostvov V., Advances in Systems Science and Applications 2025 Vol. 25 No. 1 P. 1–11
A two-criteria vector optimization problem – finding Pareto-optimal solutions in linear systems with interval uncertainty of coefficients – is considered. The problem of resource allocation to multiple activities is investigated. The uncertainty-adjusted income is a bilinear function, linear by strategy under fixed uncertainty and by uncertain parameters under fixed strategy. Guaranteed income is a linear ...
Added: August 26, 2025
Проблемы использования методов статистического анализа данных в педагогических исследованиях
Dvoinin A., Информация и образование: границы коммуникаций 2025 Т. 25 № 17 С. 125–127
The article discusses problems of applying statistical methods in pedagogical research: the lack of informative indicators, template types of analysis, fabrication of calculations, p-hacking and others. ...
Added: August 19, 2025
Численная оптимизация проверочной матрицы LDPC-кода для применения в протоколе квантового распределения ключей с использованием высокопараллельных вычислений
Morozov V., Башара В. О., Емельяненко М. В., В кн.: Параллельные вычислительные технологии – XIX всероссийская научная конференция с международным участием, ПаВТ’2025, г. Москва, 8–10 апреля 2025 г. Короткие статьи и описания плакатов.: Челябинск: Издательский центр ЮУрГУ, 2025. С. 193–210.
Error correction in the secret key is a mandatory step in quantum key distribution (QKD) protocols. Usually, modern error-correcting codes are used for its implementation. Imperfections of the hardware used in QKD systems lead to bit flipping errors in the channel. Moreover, such systems are characterized by an asymmetric distribution of such errors. Taking into ...
Added: June 3, 2025
Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, 3-5 May 2025, Splash Beach Resort in Mai Khao, Thailand, PMLR: vol. 258
PMLR, 2025.
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Least response method to separate CMB spectral distortions from foregrounds
Maillard J. P., Mihalchenko A., Novikov D. et al., Physical Review D - Particles, Fields, Gravitation and Cosmology 2024 Vol. 109 No. 2 Article 023523
We present a signal-foreground separation algorithm for filtering observational data to extract spectral distortions of the cosmic microwave background (CMB). Our linear method, called the least response method (LRM), is based on the idea of simultaneously minimizing the response to all possible foregrounds with poorly defined spectral shapes and random noise while maintaining a constant ...
Added: April 26, 2025
Роль больших языковых моделей в интегрированных средах разработки нового поколения
Ишанхонов А. Ю., Pshichenko D., Можаровский Е. А. et al., Программные системы и вычислительные методы 2024 № 4 С. 140–150
The role of Large Language Models (LLM) in new generation integrated development environments (IDEs). Tools such as GitHub Copilot, IntelliCode and Alice Code Assistant are explored in the context of their use in programming. The authors examine how LLMs enable the automation of key development tasks, including code autocompletion, error detection, refactoring, and code generation, ...
Added: March 10, 2025
Forecasting market volatility using AI and ML models
Pshichenko D., Znanstvena misel 2024 No. 96 P. 38–42
The article analyzes the application of artificial intelligence (AI) models for forecasting market volatility (MV). Examples of algorithms such as recurrent neural networks (RNN), long short-term memory (LSTM) networks, and regression methods are studied, demonstrating their effectiveness in processing time series and identifying complex data patterns. The importance of integrating machine learning (ML), as a ...
Added: March 10, 2025
Интеграция Big Data в системы рекомендаций: технологии персонализации контента
Кузнецов И. А., Бобунов А. Ю., Бушуев С. А. et al., Конкурентоспособность в глобальном мире: экономика, наука, технологии 2024 № 9 С. 56–61
he article explores modern technologies employed in content recommendation systems (CRS) using Big Data. It examines data processing and analysis methods that significantly enhance the personalization of recommendations to meet individual needs. The advantages associated with the integration of artificial intelligence (AI) and machine learning (ML) into Big Data processing to improve CRS efficiency are ...
Added: March 10, 2025
Editorial
Panos Pardalos, Valery Kalyagin, Mario R. Guarracino, Computational Management Science 2024 Vol. 21 No. 1 Article 35
Big data has become an integral part of modern networks. With the increasing amount of data generated by devices, machines, and applications, networks are constantly being challenged to handle and process this data in a timely and efficient manner. The size, complexity, and variety of data in networks are increasing rapidly, which requires new approaches ...
Added: February 22, 2025
Four-dimensional ACC analysis
Mustafina N. I., Plaksin M. A., Mikisheva P. A., Proceedings of the Institute for System Programming of the RAS 2024 Vol. 36 No. 2 P. 47–58
The article discusses the issues of planning and resource management in the process of testing software systems. The paper presents the ACC analysis method used at Google to optimize the distribution of efforts for testing different parts of the system. Extending the method by adding a fourth characteristic - actors (roles of system users) – allows for a ...
Added: February 17, 2025
Analysis of Multidimensional Clinical and Physiological Data with Synolitical Graph Neural Networks
Krivonosov M., Nazarenko T., Ushakov V. et al., Technologies 2025 Vol. 13 No. 1 Article 13
This paper introduces a novel approach for classifying multidimensional physiological and clinical data using Synolitic Graph Neural Networks (SGNNs). SGNNs are particularly good forto addressing the challenges posed by high-dimensional datasets, particularly in healthcare, where traditional mMachine lLearning and Artificial Intelligence methods often struggles to find global optima due to the “curse of dimensionality”. To ...
Added: December 23, 2024
On an approach to data analysis and visualization in the domain of employee-organization relationships
Kishankumar Bhimani, Saradva K., Системы и средства информатики 2024 Vol. 34 No. 4 P. 115–136
An increasing number of domains in science and industry rely on the intensive use of data. In such domains, obtaining new knowledge is almost impossible without the use of modern methods of data analysis and visualization. A typical example is the domain of human resource (HR) management. This paper proposes an approach to the application ...
Added: December 9, 2024
Precision measurement of the Ξ− 𝑏 baryon lifetime
Aaij R., Abdelmotteleb A. S., Abellan Beteta C. et al., Physical Review D - Particles, Fields, Gravitation and Cosmology 2024 Vol. 110 No. 7 Article 072002
A sample of 𝑝⁢𝑝 collision data, corresponding to an integrated luminosity of 5.5  fb−1 and collected by the LHCb experiment during LHC Run 2, is used to measure the ratio of the lifetime of the Ξ−𝑏 baryon to that of the Λ0𝑏 baryon, 𝑟𝜏 ≡𝜏Ξ−𝑏/𝜏Λ0𝑏. The value 𝑟𝜏 =1.076 ±0.013 ±0.006 is obtained, where the first uncertainty is statistical and the second systematic. This value is averaged with the corresponding value ...
Added: December 6, 2024
Importance of the electron plasma parameter for excitation of chorus and formation of magnetic field irregularity in the region of their excitation
P. A. Bespalov, O. N. Savina, Жаравина П. Д., Solar-Terrestrial Physics, Россия 2024 Vol. 10 No. 3 P. 81–90
threshold condition has been estab-lished for excitation of VLF electromagnetic radiation with a chorus structure of the dynamic spectrum in the daytime magnetosphere using the BPA (Beam Pulse Amplifier) mechanism for amplifying short noise elec-tromagnetic pulses. The kappa distribution was used as a model function of the electron velocity distribution in the magnetosphere. Calculations performed ...
Added: October 13, 2024
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