https://elib.bsu.by:443/handle/123456789/326718 NPCS Vol.27, no.1 (2024), pp. 1-103 Mon, 20 Apr 2026 10:15:06 GMT 2026-04-20T10:15:06Z https://elib.bsu.by:443/handle/123456789/326727 Заглавие документа: The Implementation of Feature Selection Techniques in Search for Diagnostic Criteria for Epilepsy Авторы: Demin, S. A.; Yunusov, V. A.; Minkin, A. V. Аннотация: In this study, we consider possible application of feature selection methods implemented in the Weka software package for the diagnosis of epilepsy. We analyze bioelectric brain signals for solving the problem of classifying electroencephalograms obtained from two groups of people: patients with epilepsy and healthy subjects. Features were extracted from electroencephalograms using Python framework EEGlib, which is compatible with Weka package. During the analysis, we considered 11 machine learning algorithms included in the Weka package, for which the mean value of classification F score exceeded 0.8 and mean value of AUC ROC reached 0.89 on the original feature space (28 features for classification). Analysis was performed in two stages. At the first stage, we analyzed signals recordings under study using classifying machine learning methods within the initial feature space. After that, we used two evaluators: CfsSubsetEval and WrapperSubsetEval and chose new subset of features of each evaluator based on individual predictive power of features. Then, we trained classifying algorithms on obtained subsets of features for evaluating their effectiveness for solving classification problem. Feature evaluators increased the average F score and AUC ROC of most methods but decreased for those with high values. Best result was obtained for Random Forest algorithm without feature selection and the F score, and AUC ROC of this approach was 0.882 and 0.965 correspondingly. Mon, 01 Jan 2024 00:00:00 GMT https://elib.bsu.by:443/handle/123456789/326727 2024-01-01T00:00:00Z https://elib.bsu.by:443/handle/123456789/326726 Заглавие документа: Theoretical Insights into the Spectroscopic Properties and Prospects for the Direct Laser Cooling of the Radium Monohalides Авторы: Osika, Yu.; Yong–Chang Han; Shundalau, M. Аннотация: Alkaline earth metal monohalides are currently considered the most promising candidates for direct laser cooling due to the unique electronic structure of their lower states. Among the alkaline earth monohalides family, the radium compounds are of the highest interest because of the largest mass of the radium atom compared to other alkaline earth metals, which provides some advantages for applications of ultracold matter. In addition, the radium monohalides are still the least studied both theoretically and experimentally. Here the state-of-the-art ab initio studies of the lower states of radium monochloride RaCl and radium monoastatide RaAt diatomic radicals are presented for the first time. The potential energy curves of the ground and five low-lying excited states are calculated using the Fock–space relativistic coupled cluster method. Electronic term energies, equilibrium internuclear distances, transition and permanent dipole moments, sequences of vibrational energies, harmonic vibrational frequencies, Franck–Condon factors, and radiative lifetimes are predicted. Based on these results, we calculated cooling parameters for all radium monohalides and concluded that all of them, including the RaAt molecule, can be used for direct laser cooling. The probable vibrational laser cooling schemes were also proposed. This work continues the series of research of radium monohalides and includes the comparison of results with previously studied RaF, RaBr, and RaI molecules. It can provide an understanding of trends in spectroscopic and radiative properties of this alkaline earth metal monohalides series. Mon, 01 Jan 2024 00:00:00 GMT https://elib.bsu.by:443/handle/123456789/326726 2024-01-01T00:00:00Z https://elib.bsu.by:443/handle/123456789/326724 Заглавие документа: Application of Probabilistic Safety Analysis to the Emergency Scenarios Assessment of a Loss of Coolant Accidents in the VVER-Reactor Plant Авторы: Mikhalycheva, E. A.; Trifonov, A. G. Аннотация: Probabilistic safety analysis of loss of coolant accidents (LOCA) in the VVER-reactor plant has been performed, taking into account the internal initiating events of the reactor primary circuit middle leakages. Logical probabilistic models of the accident scenarios of the middle primary circuit leakages were developed taking into account different operation modes of reactor plant. Critical paths and probabilities of the accident scenarios were identified. Program code RiskSpectrum PSA was used for probabilistic safety analysis. Recommendations for increase of reliability of systems safety functions during the middle leakages accidents were given. Mon, 01 Jan 2024 00:00:00 GMT https://elib.bsu.by:443/handle/123456789/326724 2024-01-01T00:00:00Z https://elib.bsu.by:443/handle/123456789/326723 Заглавие документа: Change in the Work Function of the Electrons In Steel after Exposure to a Pulsed Magnetic Field Авторы: Anisovich, A. G.; Tyavlovsky, A. K.; Azharonok, V. V. Аннотация: In this article, we present the results of a study of the influence of a high-frequency magnetic field on the change in the work function of an electron in carbon steel (0.45% C) after heat treatment, including normalization, quenching, and temper hardening. The electron work function is determined on metallographic sections. The electron work function undergoes the greatest changes after exposure to a magnetic field in normalized steel, as well as in quenched and tempered steel. After quenching, the work function of an electron in steel does not change significantly. The effect observed can be attributed to the alignment of the microrelief on the surface of the samples, which is formed during preparation of a metallographic section, under the influence of a magnetic field. This results in a reduction in the number of mesoscopic surface defects. Mon, 01 Jan 2024 00:00:00 GMT https://elib.bsu.by:443/handle/123456789/326723 2024-01-01T00:00:00Z