Spectral analysis and data classification in magnetoencephalography

Derguzov, A. V.; Makhortykh, Sergey A.

doi:10.1134/s1054661806030175

Cited by 3 publications

(1 citation statement)

References 3 publications

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“…The series finds a mass use as a tool to represent a considerable class of functions, carrying out analytical transformations, approximate calculations in many applied tasks. Algorithmic and computer software that is created on their basis is characterized by high universality and is included in computer and hardware -computer complexes of different purposes, which is confirmed by the numerous researches by H. S. Malvar [18], F. Dedus, S. Makhortykh, M. Ustinin [19], A. Pankratov [20], O. Novikov, O. Rovenska [21].…”

Section: Introductionmentioning

confidence: 92%

Enhancing interest in research activities in mathematics students in teacher training universities

et al. 2020

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The article looks into the issue of developing an interest in mathematics students’ research activities in the teacher training universities. The study is dedicated to the feasibility of involving the 5E Instructional Model to the organization of students’ scientific research during the workshop on the Approximation Theory and Fourier Series. The research considers the results of the survey among students who helped to evaluate their emotional state during the workshop. To collect the data we used the tool of express evaluation of positive and negative emotionality the Differential Emotion Scale. The article discusses the positive influence of the environment developed through the 5E Instructional Model on students’ emotional state and forming their interest in scientific research while organizing workshop classes. We have grounds to conclude that there is the efficiency of implementing workshops based on the 5E Instructional Model. The index reduction of students’ negative emotions encouraged their activity during the workshop and the improvement of interest in research activities.

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Section: Introductionmentioning

confidence: 92%