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Возможности моделирования предрасположенности к наркозависимости методами искусственного интеллекта
Вестник Пермского университета. Философия. Психология. Социология. 2015. № 1. С. 61–71.
A computer program designed to determine the degree human predisposition to drug addiction. The program is based neural network trained on the results of sociological surveys. Error of neural network model was less than 1%. With the help of neural network model evaluated the importance of factors that can influence the predisposition to drug addiction. The most important factors were: the level of education, having friends who use drugs, temperament type, number of children in the family, financial situation. Neural network model allows to evaluate the effect of varying the parameters characterizing the man and his predisposition to addiction and select the optimal combination of these parameters for each individual and thus receive individual recommendations for reducing drug addiction.
Lev Pyatko, Sergey Aksenov, Regular and Chaotic Dynamics 2026 Vol. 31 No. 5 P. 794–813
In the circular restricted three-body problem, families of periodic and quasi-periodic orbits exist in the vicinity of the libration points and are of significant interest for practical applications. This work presents a neural network-based algorithm for orbit construction and station-keeping, applicable to both periodic and quasi-periodic orbits near collinear libration points. The method employs a ...
Added: October 19, 2026
Vorontsova T., М.: Академия, 2025.
The textbook has been prepared in accordance with the requirements of the federal state educational standards for secondary vocational education and is intended for studying the professional modules “Information Security in Information and Telecommunication Systems and Networks Using Software and Hardware‑Software Tools, Including Cryptographic Protection Tools” and “Information Security in Automated Systems Using Software and ...
Added: October 19, 2026
Petrovskiy V., Психология. Журнал Высшей школы экономики 2016 Т. 13 № 3 С. 612 – 622
Два открывателя новизны, два мыслителя, один в науке, другой в искусстве — Владимир
Лефевр и Антонио Гауди — обнаруживают глубинное персональное сходство: нестандартность решений, многообразие компетенций, проницательность интуиции, эстетику мысли,
смелость фантазии — все это «их общее». Архитектор новаторской рефлексивной теории,
В.А. Лефевр перебросил мост между двумя реалиями – по ту и по сю сторону Я человека.
Теоретики-предшественники имели ...
Added: October 16, 2026
V. A. Petrovsky, Scientific and Technical Information Processing 2022 Vol. 49 No. 6 P. 472 – 480
This paper focuses on reflexive problematic statements represented by modal judgments of validity (subjective truth) and their combinations. It is proposed to describe these statements at three levels: reflexive problematic statements per se, modal judgments that characterize the validity of sentences constituting complex statements, and matrix representations of modal judgments. Modal judgments, as part of ...
Added: October 16, 2026
Nersisyan A., Frontiers in Molecular Biosciences 2026 Vol. 13 Article 1995001
Antiviral activity is commonly summarized using endpoint measures such as EC50 or EC90, yet these quantities emerge from a dynamic biological system and depend on viral replication kinetics, host-cell properties, experimental design, and the assay used to quantify infection. Infectious-virus titers, viral RNA, infected-cell fractions, viability measurements, and immune readouts capture different components of the ...
Added: October 15, 2026
Aleksei Samarin, Nazarenko A., Nazarenko D. et al., Machine Learning and Knowledge Extraction 2026 Vol. 8 No. 10 Article 330
Automated microscopic image analysis is essential for quantitative microbiology, yet manual acquisition and generic recognition models struggle with morphological variability and scene artifacts. We address both ends of this pipeline. First, we present a low-cost, open-source acquisition system, based on an Arduino UNO R3 microcontroller and NEMA 17 stepper motors, that automates focusing, magnification, and ...
Added: October 14, 2026
Mamedov I., Fofanov M., Lukianchenko P. et al., IEEE Access 2026 No. 14 P. 26662–26671
DreamBooth-style personalization, which often relies on one or a few images, can memorize context (background, pose, lighting) rather than learning the subject’s identity, thereby reducing fidelity and limiting prompt-driven edits. P-LoRA (Probability LoRA) is introduced as a training-time modification that biases diffusion timestep sampling and utilizes importance weights, ensuring that the overall objective remains unchanged. ...
Added: October 14, 2026
Springer, 2026.
This book highlights cutting-edge research in the field of network science, offering scientists, researchers, students and practitioners a unique update on the latest advances in theory and a multitude of applications. It presents the peer-reviewed proceedings of the XIV International Conference on Complex Networks and their Applications (COMPLEX NETWORKS 2025). The carefully selected papers cover ...
Added: October 13, 2026
Springer, 2026.
This book offers a comprehensive overview of the latest research, innovations, and practical applications in the field of sustainability, with a focus on construction materials and their use in building and civil engineering structures. As an outcome of the 3rd International Conference on Sustainability: Developments and Innovations (ICSDI 2026), this book presents a selection of ...
Added: October 13, 2026
Dmitriev A., Kornilov V., Batienkov R., Lecture Notes in Civil Engineering 2026 Vol. 886 P. 249–255
Numerous studies have provided compelling evidence that the probability distribution of avalanche sizes follows a power law, and that 1/f noise is present in the stochastic dynamics of landslides. We present a theoretical explanation of these phenomena within the framework of self-organized criticality theory, proposing a discrete-time model in the form of a sandpile cellular ...
Added: October 13, 2026
Dmitriev A., Shulman I., Lebedev A., Studies in Computational Intelligence 2026 Vol. 1265 P. 266–273
A discrete-time model is presented for the self-organization of the X/Twitter social network to the edge of a phase transition, characterized by avalanche-like propagation of information in the network. The model is based on the analogy between the critical dynamics of the X social network and sandpile cellular automata with Manna rule on the Chung-Lu ...
Added: October 13, 2026
Zolotareva A., Kazennaya E., Углова А. А., Вопросы психологии 2026 Т. 72 № 1 С. 108–118
Шкала проэкологического поведения (Pro-Environmental Behavior Scale, PEBS) оценивает как индивидуальные его проявления, так и участие в проэкологической деятельности совместно с другими людьми. Целью настоящего исследования является адаптация русскоязычной версии PEBS в условиях реальной экологической катастрофы. Волонтеры, ликвидирующие последствия разлива нефти в Керченском заливе (n = 205), а также респонденты, не занимающиеся волонтерской деятельностью (n = ...
Added: October 13, 2026
Zalyubovsky E., Petrovskiy V., Культурно-историческая психология 2023 Т. 19 № 3 С. 13 – 22
The paper substantiates the concept of the existence of a “transvital Self”, a particular form of an individual’s existence beyond the apparent forms of vital function and the processes of reproducing self as a psychophysical integrity. The author uses the term “transvitality” (as in A. Akopyan’s “transvital meanings”) to more generally address this concept as ...
Added: October 13, 2026
Petrovskiy V., Культурно-историческая психология 2023 Т. 19 № 1 С. 35 – 40
The concept of the I that is present in the scholarly and mundane consciousness is inwardly paradoxical, as it contains the risk of regression to “bad infinity”. Thus, “I see an object” obviously creates in me the image of the object; by implication, “someone” inside me sees the image of the perceived object and, consequently, ...
Added: October 13, 2026
Makarov D. M., Kalikin N., Fashchevsky K. A. et al., Electrochimica Acta 2026 Vol. 579 Article 150159
Machine learning (ML) has become a powerful tool for accelerating the development of carbon-based supercapacitors;
however, most published models assume that a single predictive framework can describe both conventional
porous carbons and hybrid carbon electrodes. Here, we test this assumption using a comprehensive
benchmark dataset and an extended literature-curated dataset enriched with synthesis- and electrolyte-related
descriptors. Three ML algorithms ...
Added: October 13, 2026
Zhang Z., Ilvovsky D., Information Processing and Management 2026 Vol. 63 No. 7
Transformer-based Large Language Models (LLMs) rely on Key-Value (KV) cache to accelerate autoregressive decoding, but memory and compute requirements still grow with context length, limiting deployment on resource-constrained devices. Existing training-free KV cache compression methods mainly rely on attention-driven retention heuristics, which may under preserve structurally informative tokens under tight cache budgets, especially when such ...
Added: October 13, 2026
No Species Is an Island, Entire of Itself: Genetic Speciation Algorithm with Interplay among Species
Gromov V., Sohrabi M., Fathollahi-Fard A., International Journal of Engineering, Transactions B: Applications 2027 Vol. 40 No. 5 P. 1437–1460
This paper, with a particular emphasis on Genetic Algorithm (GA), proposes a novel approach that integrates clustering mechanisms, predator-prey dynamics, and a distinctive selection strategy for generating subsequent populations. The proposed evolutionary algorithm, referred to as Genetic Speciation Algorithm with Interplay Among Species (GSAIS), is comprehensively evaluated against several variants of GAs as well as ...
Added: October 12, 2026
Vikhrova E., Petrovskiy V., Высшее образование в России 2025 Т. 34 № 12 С. 10 – 32
This paper examines the psychological well-being of university students across various learning formats (in-person, online, and hybrid) and reflects on the role artificial intelligence (AI) tools play in supporting this well-being. The paper analyzes the impact of the learning formats on the dynamics of anxiety and depression levels in students, on their coping strategies for ...
Added: October 12, 2026
Alexandrov D., Vasilevsky V., Rezunik L. et al., Труды Института системного программирования РАН 2026 Т. 38 № 5 С. 73–90
Large language models demonstrate limitations in tasks that require precise information retrieval from very long input sequences. This limitation affects code generation in large object-oriented systems, where correctness depends on complex inter-class dependencies and the analysis of long execution traces that exceed standard context window sizes. This paper presents JavaCapsule, a technology for automated generation ...
Added: October 12, 2026
Singapore: Springer, 2026.
This volume presents the Proceedings of the 34th IUPAP Conference on Computational Physics (CCP2023), held in Kobe, Japan on August 4–8, 2023. It offers a collection of peer-reviewed articles that highlight recent developments in computational and simulation research across various areas of physics. Key topics include the use of data science, quantum computing, and machine ...
Added: October 12, 2026
Yusupova E., Ogundele K. S., Durodola F. A., Social Psychology of Education 2026 No. 29 Article 127
This study examines the association between teacher expectations and mathematics growth among first-grade students in Russia. The sample included 1,155 students and 48 teachers from public schools in two Siberian regions. Students’ mathematics performance was assessed using START, with vertical test alignment used to measure individual growth. Multilevel regression models estimated on 20 multiply imputed ...
Added: October 12, 2026
M.: UNESCO Chair on Copyright, Neighbouring, Cultural and Information Rights (HSE University), 2026.
The compendium brings together short academic papers (Think pieces UNESCO) in English prepared by fifth-year law students of HSE University during their professional internship at the UNESCO Chair on Copyright, Neighbouring, Cultural and Information Rights under the supervision of Mariia Katkova. Following MONDIACULT 2022, which recognized culture as a global good, the papers examine the ...
Added: September 28, 2026
Maddalena L., Yildiz B., Del Vecchio Blanco F. et al., Risk Analysis 2026 Vol. 46 No. 4 P. 1–26
Heated tobacco products (HTPs) are marketed as alternatives to conventional cigarettes with a potential reduced risk profile. Yet, their actual impact on cancer and noncancer disease risk remains uncertain and requires rigorous quantitative assessment. In this study, we develop a unified and transparent computational framework for toxicological risk assessment of HTPs, integrating chemical emissions data ...
Added: September 22, 2026
Aleksei Samarin, Aleksei Toropov, Dzestelova A. et al., , in: Proceedings of the 35th Conference of Open Innovations Association FRUCT, 24-26 April 2024, Tampere, FinlandIssue 1.: FRUCT Oy, 2024. P. 659–664.
This research endeavor is dedicated to the integration of specialized attentional mechanisms within the intricate web of deep neural network architectures aimed at discerning indications of lung carcinoma from monochromatic snapshots derived from computerized axial tomography. Within this exploration, we propose a myriad of adaptations to the traditional non-local blocks, infusing them with bespoke attentional ...
Added: September 19, 2026