Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Evgeni L. Nikolaev"'
Autor:
Evgeni L. Nikolaev, Igor E. Poverinov
Publikováno v:
Регионология, Vol 28, Iss 4, Pp 843-865 (2020)
Introduction. Intense physical activity is associated with good health and wellbeing of an individual, and its manifestations in students can have gender and socio-cultural features. The purpose of the study is to identify the features of physical ac
Externí odkaz:
https://doaj.org/article/a3ab79e3bcbe4d05a723c7a41f634a9b
Publikováno v:
Psychology in Russia: State of Art, Vol 10, Iss 2, Pp 117-133 (2017)
Background. A dentist’s professional activity requires a high level of personality traits that are usually regarded as a combination of both female and male traits. Androgynous gender identity corresponds to dentists’ professional requirements an
Externí odkaz:
https://doaj.org/article/8f4849c80cc848268993a15300211d99
Autor:
Elvira A. Baranova, Evgeni L. Nikolaev
Publikováno v:
Psychology in Russia: State of Art, Vol 10, Iss 1, Pp 4-17 (2017)
Children’s questions are an indicator of active cognitive perception of reality. Questions but not answers are relevant in revealing a child’s mental life, consciousness and thinking. The lack of question-asking skills can hinder learning, searc
Externí odkaz:
https://doaj.org/article/27a20c7e72a94db5ac89255d37250737
Autor:
Klavdiya G. Erdyneeva, Evgeni L. Nikolaev, Albina A. Azanova, Guzel N. Nurullina, Venera I. Bogdanova, Albert K. Shaikhlislamov, Inessa V. Lebedeva, Elmira R. Khairullina
Publikováno v:
International Review of Management and Marketing, Vol 6, Iss 1, Pp 106-110 (2016)
This paper is a part of an ongoing attempt to reflect on the ways and results related to developing research competence, which is considered as an urgent issue for contemporary higher education in Russia. The polypragmatic approach, the major approac
Externí odkaz:
https://doaj.org/article/b067afa5305c4b2ebe9aed529aee5b3b
Autor:
Aleksander S. Drovnikov, Evgeni L. Nikolaev, Anton S. Afanasev, Vladimir N. Ivanov, Tatyana N. Petrova, Galina G. Tenyukova, Natalia L. Maksimova, Faina V. Povshednaya
Publikováno v:
International Review of Management and Marketing, Vol 6, Iss 1, Pp 111-115 (2016)
Scientific and methodological validity of diagnostic procedures and techniques for the study of teachers’ professional competence is designed to ensure the efficiency and dynamism of education management, early detection of possible professional de
Externí odkaz:
https://doaj.org/article/0d4781c419e04061871e1c78073cb2b4
Autor:
Megan L. Rogers, Erjia Cao, Jenelle A. Richards, Alexis Mitelman, Shira Barzilay, Yarden Blum, Ksenia Chistopolskaya, Elif Çinka, Manuela Dudeck, M. Ishrat Husain, Fatma Kantas Yilmaz, Oskar Kuśmirek, Jhoanne M. Luiz, Vikas Menon, Evgeni L. Nikolaev, Barbara Pilecka, Larissa Titze, Samira S. Valvassori, Sungeun You, Igor Galynker
Publikováno v:
Clinical Psychological Science. :216770262211487
The COVID-19 pandemic resulted in drastic disruptions to lives and possible pernicious impacts on mental health, including suicidality. Understanding these relations, as well as impacts on at-risk populations, is essential. The present study examined
Publikováno v:
Personality in a changing world: health, adaptation, development. 8:160-171
Publikováno v:
Proceedings of INTCESS 2022- 9th International Conference on Education & Education of Social Sciences.
Publikováno v:
Technology, Innovation and Creativity in Digital Society ISBN: 9783030897079
Data mining techniques include traditional statistical estimation theory and machine learning methods. They have been intensively developed in recent years, and are increasingly used in a variety of fields. The present research suggests the simultane
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5b91637736fe2b59f5e1d7a70f111e19
https://doi.org/10.1007/978-3-030-89708-6_44
https://doi.org/10.1007/978-3-030-89708-6_44
Publikováno v:
Knowledge in the Information Society ISBN: 9783030658564
Analysis and visualization of causal and latent dependencies between statistical inhomogeneous data are important tasks for different fields. The quite simple neural network algorithms are proposed for the analysis and interpretation of psycho-diagno
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a9a767dcbe479c1f227a04e5d286c95c
https://doi.org/10.1007/978-3-030-65857-1_7
https://doi.org/10.1007/978-3-030-65857-1_7