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An SEM Approach to Continuous Time Modeling of Panel Data: Relating Authoritarianism and Anomia
Psychological methods. 2012. Vol. 17. No. 2. P. 176–192.
Voelkle M. C., Oud J. H., Davidov E., Schmidt P.
Panel studies, in which the same subjects are repeatedly observed at multiple time points, are among the most popular longitudinal designs in psychology. Meanwhile, there exists a wide range of different methods to analyze such data, with autoregressive and cross-lagged models being 2 of the most well known representatives. Unfortunately, in these models time is only considered implicitly, making it difficult to account for unequally spaced measurement occasions or to compare parameter estimates across studies that are based on different time intervals. Stochastic differential equations offer a solution to this problem by relating the discrete time model to its underlying model in continuous time. It is the goal of the present article to introduce this approach to a broader psychological audience. A step-by-step review of the relationship between discrete and continuous time modeling is provided, and we demonstrate how continuous time parameters can be obtained via structural equation modeling. An empirical example on the relationship between authoritarianism and anomia is used to illustrate the approach.
Derkacheva A., Sakirkina M., Kraev G. et al., /. 2026.
Comprehensive data on natural hazards and their consequences are crucial for effective for risk assessment, adaptation planning, and emergency response. However, many countries face challenges with fragmented, inconsistent, and inaccessible data, particularly regarding local-scale events. To address this data gap in Russia, we developed an end-to-end processing pipeline that scrapes news from various online sources, ...
Added: April 28, 2026
Qin X., Deng Y., Shchur L. et al., / Series arXiv "math". 2026. No. 2603.02962.
We perform a Monte Carlo analysis of the Ising model on many three-dimensional lattices. By means of finite-size scaling we obtain the critical points and determine the scaling dimensions. As expected, the critical exponents agree with the three-dimensional Ising universality class for all models. The irrelevant field, as revealed by the correction-to-scaling amplitudes, appears to ...
Added: April 20, 2026
Pilé I., Deng Y., Shchur L., / Series arXiv "math". 2026. No. 2604.10254.
We investigate the spatial overlap of successive spin configurations in Markov chain Monte Carlo simulations using the local Metropolis algorithm and the Svendsen-Wang and Wolff cluster algorithms. We examine the dynamics of these algorithms for two models in different universality classes: the Ising model and the Potts model with three components. The overlap of two ...
Added: April 20, 2026
Dontsov A., Cham: Palgrave Macmillan, 2023.
This major reference work handbook explores the nexus between globalization and social change, neoliberalism and social change, and societal response to social change. The chapters will primarily focus on these three broad themes and discuss their impact in different societies across the globe at a variety of levels, from the macro to the local. The ...
Added: April 6, 2026
Gabdullin N., Androsov I., / Series Computer Science "arxiv.org". 2026.
Label prediction in neural networks (NNs) has O(n) complexity proportional to the number of classes. This holds true for classification using fully connected layers and cosine similarity with some set of class prototypes. In this paper we show that if NN latent space (LS) geometry is known and possesses specific properties, label prediction complexity can ...
Added: April 2, 2026
Матвеев А. Г., Право интеллектуальной собственности 2015 № 3 С. 7–12
Purpose: In legal science there is a consensus that the right is composed of elements that are usually referred to with «authorities». However, the controversial issues are questions about the number of such authorities, the grounds for dividing the right in those elements. The thesis about a variety of points of view on this issue ...
Added: March 24, 2026
Гаврилов А. В., Krayushkin D. V., Chepovskiy A., Вестник Новосибирского государственного университета. Серия: Информационные технологии 2025 Т. 23 № 4 С. 23–43
The automation of radiology services has significantly improved access to radiological imaging for accurate diagnosis of diseases and injuries. However, the expansion of radiological equipment, the adoption of telemedicine, and the integration of AI-powered clinical decision support systems necessitate upgrades to existing medical image storage and processing solutions.This article reviews modern compression methods for radiological ...
Added: February 20, 2026
Karimova A., Садовская Я. О., Солопова О. Н., Российский онкологический журнал 2025 Т. 30 № 3 С. 156–169
ABSTRACT Modern oncology needs to develop and implement antineoplastic agents that provide sustained remission without serious side effects. Immunotherapy and targeted therapy agents that activate innate immunity may address this issue. The stimulator of interferon genes (STING), an intracellular protein, mediates the synthesis of type I interferons, which have antiviral, antitumor, and antiproliferative properties. The ...
Added: February 19, 2026
Miske O., Abatayo A. L., Daley M. et al., Nature 2026 Vol. 652 P. 126–134
Published claims should be reproducible, yielding the same result when applying the same analysis to the same data. ...
Added: January 19, 2026
Sorokin K., Beketov M., Онучин А. et al., / arxiv.org. Серия cs.SI "Social and Information Networks ". 2025.
Community detection in complex networks is a fundamental problem, open to new approaches in various scientific settings. We introduce a novel community detection method, based on Ricci flow on graphs. Our technique iteratively updates edge weights (their metric lengths) according to their (combinatorial) Foster version of Ricci curvature computed from effective resistance distance between the ...
Added: January 15, 2026
Petrovanov I., Sergeev A., / Series Computer Science "arxiv.org". 2025. No. 2512.18332.
Transport coding reduces message delay in packet-switched networks by introducing controlled redundancy at the transport layer: original packets are encoded into coded packets, and the message is reconstructed after the first successful deliveries, effectively shifting latency from the maximum packet delay to the -th order statistic. We present a concise, reproducible discrete-event implementation of transport coding in OMNeT++, including ...
Added: December 24, 2025
Pomazanov M. V., The Journal of Risk Model Validation 2026 Vol. 20 No. 1 P. 1–24
This paper proposes a method of designing a statistically distinguishable rating scale
that is not excessive in relation to the existing observation statistics. This allows for
more stable validation with a fixed maximum number of violations of the Wald criterion
compared with the excess scales usually used by banks. The increased validation
robustness will reduce the calibration probability of ...
Added: December 9, 2025
Hessian-based lightweight neural network for brain vessel segmentation on a minimal training dataset
Меньшиков И. А., Бернадотт А. К., Elvimov N. S., / Series arXie "Statistical mechanics". 2025.
Accurate segmentation of blood vessels in brain magnetic resonance angiography (MRA) is essential for successful surgical procedures, such as aneurysm repair or bypass surgery. Currently, annotation is primarily performed through manual segmentation or classical methods, such as the Frangi filter, which often lack sufficient accuracy. Neural networks have emerged as powerful tools for medical image ...
Added: December 1, 2025
Чернышов Д. П., Satanin A., Shchur L., / Series arXiv "math". 2025.
We investigate the boundary separating regular and chaotic dynamics in the generalized Chirikov map, an extension of the standard map with phase-shifted secondary kicks. Lyapunov maps were computed across the parameter space (K,K(α, τ)) and used to train a convolutional neural network (ResNet18) for binary classification of dynamical regimes. The model reproduces the known critical ...
Added: November 21, 2025
Abashkin V., Sakhno M., Abdrakhmanova G., Вопросы статистики 2025 Т. 32 № 5 С. 7–17
The article presents methodological approaches to organizing and conducting comprehensive statistical monitoring of the development and application of artificial intelligence (AI) technologies. The relevance of this topic is driven by the high significance of AI technologies for the economy and society, and their recognition as one of the leading technologies of the current decade, both globally ...
Added: November 11, 2025
Rubchinskiy A., Chubarova D., / Series WP7 "Математические методы анализа решений в экономике, бизнесе и политике". 2025. No. WP7/2025/01.
The article examines one of the most famous examples of socio-economic systems, characterized by significant uncertainty – the S&P-500 stock market, where shares of 500 largest US companies are traded. No assumptions are made about the probabilistic characteristics of the stock market. A flexible algorithm for daily trading has been developed, based on both known fixed data ...
Added: November 9, 2025
Sokolov B., Korsunava V., Социологические исследования 2025 № 9 С. 34–48
This study explores the demographic correlates of attrition in longitudinal online surveys by utilizing data from four Russian waves of the international «Values in Crisis» project (designed to examine societal consequences of the COVID‑19 pandemic). Respondents were recruited from an online consumer panel, maintained by OMI, a leading Russian marketing research company. Data collection occurred ...
Added: October 28, 2025
High-Frequency Multiword Units and the Typological Distribution of Multiword Units in Spoken Russian
Natalia V. Bogdanova-Beglarian, Blinova O. V., Khokhlova M. et al., , in: 27th International Conference, SPECOM 2025, Szeged, Hungary, October 13–15, 2025, Proceedings, Part II. Speech and Computer. Lecture Notes in Artificial Intelligence 16188Vol. 16188.: Springer, 2025. P. 257–270.
Multiword units (MWUs) constitute a distinct class of linguistic phenomena located at the crossroads of lexis and syntax. Empirical data on their typology and frequency are essential for solving a wide range of applied problems in natural language processing. This paper presents a corpus-based study of MWUs in Russian everyday speech. Drawing on data from the ORD ...
Added: October 19, 2025
Meshchaninov V., Strashnov, P., Shevtsov A. et al., / Cornell University. Серия CoRR, arXiv:2403.03726 "Computing Research Repository,". 2025.
Protein design requires a deep understanding of the inherent complexities of the protein universe. While many efforts lean towards conditional generation or focus on specific families of proteins, the foundational task of unconditional generation remains underexplored and undervalued. Here, we explore this pivotal domain, introducing DiMA, a model that leverages continuous diffusion on embeddings derived ...
Added: October 5, 2025
Shabalin A., Meshchaninov V., Vetrov D., / Series cs.CL, arXiv:2505.18853 "Computation and Language". 2025.
Diffusion models have achieved state-of-the-art performance in generating images, audio, and video, but their adaptation to text remains challenging due to its discrete nature. Prior approaches either apply Gaussian diffusion in continuous latent spaces, which inherits semantic structure but struggles with token decoding, or operate in categorical simplex space, which respect discreteness but disregard semantic ...
Added: October 5, 2025
Kolachev N., Новиков И. А., Психологические исследования: электронный научный журнал 2025 Т. 18 № 102 Статья 4
This study examines the characteristics of instructional tasks and problems in applied statistics for psychology students through the lens of a competency-based approach. To achieve the research objective, a methodological framework was developed comprising four key components: content domain, types of cognitive actions, forms of data representation, and instrumental tools. The sample consisted of statistical ...
Added: September 26, 2025
Абрамов А. С., Chernyshev V. L., Mikhaylets E. et al., / Series Social Science Research Network "Social Science Research Network". 2025.
Computer vision is one of the most relevant modern research areas with broad practical applications. However, traditional solutions based on deep learning have signicant limitations and can be misleading. Topological data analysis, on the other hand, is a modern approach to solving similar problems using mathematically deterministic methods of algebraic topology that reduce the risk ...
Added: September 23, 2025
Kochetkov Y., / Series arXiv.org e-print archive "arXiv.math". 2025. No. 07600.
We demonstrate in an elementary way how to construct a frieze pattern of width m-3 from a partition of a convex m-gon
by not intersecting diagonals. ...
Added: September 17, 2025
Pruzhinin B. I., Анохин К. В., Гачева А. Г. et al., Вопросы философии 2025 № 6 С. 5–53
In June 2025, the 150th anniversary of the birth of the Russian scientist and philosopher, academician of the USSR Academy of Sciences, Prince Alexey Alexeyevich Ukhtomsky, will be celebrated. His fundamental research in physiology is well known in the scientific community, while his philosophical reflections have come to light relatively recently. The ideas contained in ...
Added: September 16, 2025