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Review of Open-Source Libraries for Solving Time Series Forecasting Problems 解决时间序列预测问题的开源库综述

Моделирование и анализ данных Pub Date : 2024-07-01 DOI: 10.17759/mda.2024140203

E.A. Svekolnikova, V.N. Panovskiy

引用次数: 0

The Experience of Developing an Adaptive Hybrid EEG Signal Filter with Extended Information Adaptability 开发具有扩展信息适应性的自适应混合脑电信号滤波器的经验

Моделирование и анализ данных Pub Date : 2024-07-01 DOI: 10.17759/mda.2024140206

G. A. Yuryev

引用次数: 0

Semantic Analysis of Reviews About Organizations Using Machine Learning Methods 使用机器学习方法对有关组织的评论进行语义分析

Моделирование и анализ данных Pub Date : 2024-04-11 DOI: 10.17759/mda.2024140101

E.N. Platonov, I.R. Martynova

引用次数: 0

The Role of Parasocial Relationships in Digital Learning: An Exploratory Case Study 准社会关系在数字化学习中的作用：探索性案例研究

Моделирование и анализ данных Pub Date : 2024-04-11 DOI: 10.17759/mda.2024140105

K. Kharitonova, M. Zhukova, I.V. Markov, M.B. Razo, K. Le, S. Ayaz, J. Ogbomo, J.L. Garcia, H. Kilani, E. Grigorenko

{"title":"The Role of Parasocial Relationships in Digital Learning: An Exploratory Case Study","authors":"K. Kharitonova, M. Zhukova, I.V. Markov, M.B. Razo, K. Le, S. Ayaz, J. Ogbomo, J.L. Garcia, H. Kilani, E. Grigorenko","doi":"10.17759/mda.2024140105","DOIUrl":"https://doi.org/10.17759/mda.2024140105","url":null,"abstract":"Social media has become integral to education and learning because it provides a platform for access to information and resources beyond traditional classroom settings, enabling students to expand their knowledge and skills in a more interactive and personalized manner. The relationships that are formed with on-screen characters or personas (parasocial relationships) can improve understanding of the material and engagement with media content. The current study aimed to investigate the impact of parasocial relationships on a child's learning ability and test performance. The experiment, conducted as an exploratory case study with a typically developing 10-year-old child, included a parasocial condition with prior exposure to personal TikTok content of some educational video creators and other creators presented as novel (control); control conditions were further split into visible and non-visible video presenters. Performance was assessed using tests specialized by the subject and knowledge category, and an interview on the parasocial relationship was administered. The findings demonstrate that performance correlated with the presenter ratings obtained through the interview and not with the amount of previous exposure to the content created by the presenter.","PeriodicalId":186451,"journal":{"name":"Моделирование и анализ данных","volume":"14 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140714984","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}

引用次数: 0

Application of Correlation Analysis to Determine the Discrepancy Between Indicators for Two Different Samples: Comparison of the Intellectual and Personal Development of Children of Primary School Age, Studied with an Interval of 10 Years 应用相关分析法确定两个不同样本指标之间的差异：小学学龄儿童智力和个性发展的比较，研究间隔为 10 年

Моделирование и анализ данных Pub Date : 2024-04-11 DOI: 10.17759/mda.2024140104

S. Artemenkov, E. Joukova, D. Bogoyavlenskaya

{"title":"Application of Correlation Analysis to Determine the Discrepancy Between Indicators for Two Different Samples: Comparison of the Intellectual and Personal Development of Children of Primary School Age, Studied with an Interval of 10 Years","authors":"S. Artemenkov, E. Joukova, D. Bogoyavlenskaya","doi":"10.17759/mda.2024140104","DOIUrl":"https://doi.org/10.17759/mda.2024140104","url":null,"abstract":"Correlation analysis, which is actively used in psychological research to identify the relationship between psychological parameters, loses its meaning when the samples being compared are different. At the same time, studying possible connections of psychological indicators between samples may have some meaning in special cases. Purpose of the work: to show the possibilities and propose a technology for using correlation analysis to determine the agreement of indicators for two different samples using the example of a long-term (retrospective and modern) study of the intellectual and personal characteristics of the development of schoolchildren in the 2nd grade of a general school with an age difference of 10 years. For correlation analysis, we used assessments of intellectual development according to the level of work in the “Beasts in the Circus” method of the “Creative Field” method (Bogoyavlenskaya, 1971) and intelligence according to the “Standard Progressive Matrices” test by J. Raven. To implement the possibility of a full correlation analysis of general indicators of different samples, the work proposed a technique for preliminary linking two different samples of the same size to each other by matching them on one of the common sample variables.","PeriodicalId":186451,"journal":{"name":"Моделирование и анализ данных","volume":"2 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140715003","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}

引用次数: 0

Modelling of Pilot Activities when Piloting Aircraft 模拟飞行员驾驶飞机时的活动

Моделирование и анализ данных Pub Date : 2024-04-11 DOI: 10.17759/mda.2024140106

V.A. Orishchenko, I. Greshnikov

引用次数: 0

Approximate Synthesis of Optimal Deterministic Control Systems with Incomplete Feedback Based on Sufficient ε-Optimality Conditions 基于充分ε-临近性条件的具有不完全反馈的最优确定性控制系统的近似合成

Моделирование и анализ данных Pub Date : 2024-04-11 DOI: 10.17759/mda.2024140109

A. Panteleev, M. Karane

引用次数: 0

Solving an Optimization Problem for Estimating Fully connected Linear Regression Models 解决估计全连接线性回归模型的优化问题

Моделирование и анализ данных Pub Date : 2024-04-11 DOI: 10.17759/mda.2024140108

M. Bazilevskiy

{"title":"Solving an Optimization Problem for Estimating Fully connected Linear Regression Models","authors":"M. Bazilevskiy","doi":"10.17759/mda.2024140108","DOIUrl":"https://doi.org/10.17759/mda.2024140108","url":null,"abstract":"This article is devoted to the problem of estimating fully connected linear regression models using the maximum likelihood method. Previously, a special numerical method was developed for this purpose, based on solving a nonlinear system using the method of simple iterations. At the same time, the issues of choosing initial approximations and fulfilling sufficient conditions for convergence were not studied. This article proposes a new method for solving the optimization problem of estimating fully connected regressions, similar to the method of estimating orthogonal regressions. It has been proven that, with equal error variances of interconnected variables, estimates of b-parameters of fully connected regression are equal to the components of the eigenvector corresponding to the smallest eigenvalue of the inverse covariance matrix. And if the ratios of the error variances of the variables are equal to the ratios of the variances of the variables, then the b-parameter estimates are equal to the components of the eigenvector corresponding to the smallest eigenvalue of the inverse correlation matrix, multiplied by the specific ratios of the standard deviations of the variables. A numerical experiment was carried out to confirm the correctness of the developed mathematical apparatus. The proposed method for solving the optimization problem of estimating fully connected regressions can be effectively used when solving problems of constructing multiple fully connected linear regressions.","PeriodicalId":186451,"journal":{"name":"Моделирование и анализ данных","volume":"11 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140715053","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}

引用次数: 0

Analyzing Climate and Agricultural Factors for Yield Prediction of Key Cereal Crops in Ethiopia: a Visual Analysis (1995-2021) 分析气候和农业因素以预测埃塞俄比亚主要谷类作物产量：直观分析（1995-2021 年）

Моделирование и анализ данных Pub Date : 2024-04-11 DOI: 10.17759/mda.2024140112

B.B. Mekecha

引用次数: 0

Application of Convolutional Neural Networks in the Problem of Removing Shadows from Photographs 卷积神经网络在去除照片阴影问题中的应用

Моделирование и анализ данных Pub Date : 2024-04-11 DOI: 10.17759/mda.2024140103

A.S. Alekseychuk, Yu.D. Mukin

引用次数: 0