{"title":"УСЛОВИЯ СОЗДАНИЯ ИНФОРМАЦИОННО-ОБРАЗОВАТЕЛЬНОЙ СРЕДЫ В ОБРАЗОВАНИИ","authors":"Лейла Эльчин г. Мехтиева","doi":"10.32743/25419862.2023.5.71.358537","DOIUrl":"https://doi.org/10.32743/25419862.2023.5.71.358537","url":null,"abstract":"","PeriodicalId":37429,"journal":{"name":"Computer Research and Modeling","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77271029","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"ОБУЧЕНИЕ ЭСТРАДНОМУ ВОКАЛУ: ОСНОВНЫЕ КОМПОНЕНТЫ СОВРЕМЕННЫХ ВОКАЛЬНЫХ ТЕХНИК","authors":"Ольга Владимировна Юркина","doi":"10.32743/25419862.2023.5.71.358714","DOIUrl":"https://doi.org/10.32743/25419862.2023.5.71.358714","url":null,"abstract":"","PeriodicalId":37429,"journal":{"name":"Computer Research and Modeling","volume":"6 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78842737","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Reducing miss rate in a non-inclusive cache with inclusive directory of a chip multiprocessor","authors":"Yuri Nedbailo, A. V. Surchenko, Ignat N. Bychkov","doi":"10.20537/2076-7633-2023-15-3-639-656","DOIUrl":"https://doi.org/10.20537/2076-7633-2023-15-3-639-656","url":null,"abstract":"Although the era of exponential performance growth in computer chips has ended","PeriodicalId":37429,"journal":{"name":"Computer Research and Modeling","volume":"24 31","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72458739","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Darya Vorontsova, M. V. Isaeva, I. Menshikov, Kirill Orlov, Alexandra Bernadotte
{"title":"Frequency, time, and spatial electroencephalogram changes after COVID-19 during a simple speech task","authors":"Darya Vorontsova, M. V. Isaeva, I. Menshikov, Kirill Orlov, Alexandra Bernadotte","doi":"10.20537/2076-7633-2023-15-3-691-701","DOIUrl":"https://doi.org/10.20537/2076-7633-2023-15-3-691-701","url":null,"abstract":"We found a predominance of α -rhythm patterns in the left hemisphere in healthy people compared to people with COVID-19 history. Moreover, we observe a significant decrease in the left hemisphere contribution to the speech center area in people who have undergone COVID-19 when performing speech tasks. Our findings show that the signal in healthy subjects is more spatially localized and synchronized between hemispheres when performing tasks compared to people who recovered from COVID-19. We also observed a decrease in low frequencies in both hemispheres after COVID-19. EEG-patterns of COVID-19 are detectable in an unusual frequency domain. What is usually considered noise in electroencephalographic (EEG) data carries information that can be used to determine whether or not a person has had COVID-19. These patterns can be interpreted as signs of hemispheric desynchronization, premature brain ageing, and more significant brain strain when performing simple tasks compared to people who did not have COVID-19. In our work, we have shown the applicability of neural networks in helping to detect the long-term effects of COVID-19 on EEG-data. Furthermore, our data following other studies supported the hypothesis of the severity of the long-term effects of COVID-19 detected on the EEG-data of EEG-based BCI. The presented findings of functional activity of the brain– computer interface make it possible to use machine learning methods on simple, non-invasive brain–computer interfaces to detect post-COVID syndrome and develop progress in neurorehabilitation.","PeriodicalId":37429,"journal":{"name":"Computer Research and Modeling","volume":"74 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83776382","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Physical research and numerical modeling of the lower ionosphere perturbed by powerful radio emission. Part 1. Brief review and problem statement","authors":"Daria Sergeevna Moiseeva, E. L. Stupitsky","doi":"10.20537/2076-7633-2023-15-3-619-637","DOIUrl":"https://doi.org/10.20537/2076-7633-2023-15-3-619-637","url":null,"abstract":"","PeriodicalId":37429,"journal":{"name":"Computer Research and Modeling","volume":"22 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77226015","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Modeling of the macromolecular composition dynamics of microalgae batch culture","authors":"A. Lelekov, R. P. Trenkenshu","doi":"10.20537/2076-7633-2023-15-3-739-756","DOIUrl":"https://doi.org/10.20537/2076-7633-2023-15-3-739-756","url":null,"abstract":"В работе методом математического моделирования проведено исследование механизмов влияния света на скорость роста и макромолекулярный состав накопительной культуры микроводорослей. Показано, что даже при единственном лимитирующем факторе рост микроводорослей сопряжен со значительным изменением биохимического состава биомассы. Отмечено, что существующие математические модели, основанные на принципах ферментативной кинетики, не учитывают возможную смену лимитирующего фактора в процессе увеличения биомассы и не позволяют описать динамику относительного содержания ее биохимических компонентов. В качестве альтернативного подхода предложена двухкомпонентная модель, в основе которой положено предположение о двухстадийности фотоавтотрофного роста. Биомассу микроводорослей можно рассматривать в виде суммы двух макромолекулярных составляющих — структурной и резервной. Предполагается пропорциональность всех структурных компонентов биомассы, что значительно упрощает математические выкладки и верификацию модели. Предлагаемая модель представлена системой двух дифференциальных уравнений: скорость синтеза резервных составляющих биомассы определяется интенсивностью света, а структурных компонентов — потоком резервов на ключевой мультиферментный комплекс. Модель учитывает, что часть резервных компонентов расходуется на пополнение пула макроэргов. Скорости синтеза структурных и резервных форм биомассы заданы линейными сплайнами, которые позволяют учесть смену лимитирующего фактора с ростом плотности накопительной культуры. Показано, что в условиях светового лимитирования накопительную кривую необходимо разделять на несколько областей: неограниченного роста, малой концентрации клеток и оптически плотной культуры. Для каждого участка получены аналитические решения предлагаемой модели, которые выражены в элементарных функциях и позволяют оценить видоспецифические коэффициенты. Проведена верификация модели на экспериментальных данных роста биомассы и динамики относительного содержания хлорофилла а накопительной культуры красной морской микроводоросли Pоrphуridium purpurеum.","PeriodicalId":37429,"journal":{"name":"Computer Research and Modeling","volume":"47 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80928856","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Connection between discrete financial models and continuous models with Wiener and Poisson processes","authors":"Irina V. Melnikova, V. A. Bovkun","doi":"10.20537/2076-7633-2023-15-3-781-795","DOIUrl":"https://doi.org/10.20537/2076-7633-2023-15-3-781-795","url":null,"abstract":"","PeriodicalId":37429,"journal":{"name":"Computer Research and Modeling","volume":"107 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72830605","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
D. Kondratov, Kondratova Sergeevna Tatiana, V. Popov, A. Popova
{"title":"Modelling hydroelastic response of a plate resting on a nonlinear foundation and interacting with a pulsating fluid layer","authors":"D. Kondratov, Kondratova Sergeevna Tatiana, V. Popov, A. Popova","doi":"10.20537/2076-7633-2023-15-3-581-597","DOIUrl":"https://doi.org/10.20537/2076-7633-2023-15-3-581-597","url":null,"abstract":"","PeriodicalId":37429,"journal":{"name":"Computer Research and Modeling","volume":"79 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74049382","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Editors note","authors":"","doi":"10.20537/2076-7633-2023-15-3-485-489","DOIUrl":"https://doi.org/10.20537/2076-7633-2023-15-3-485-489","url":null,"abstract":"","PeriodicalId":37429,"journal":{"name":"Computer Research and Modeling","volume":"178 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136281132","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}