Zobrazeno 1 - 10
of 22
pro vyhledávání: '"I. Beh"'
Autor:
I. BEH
Publikováno v:
ТHE SOURCES OF PEDAGOGICAL SKILLS; No. 20 (2017); 20-22
Витоки педагогічної майстерності; № 20 (2017); 20-22
Витоки педагогічної майстерності; № 20 (2017); 20-22
Peculiarities of the educational paradigm characteristic of A. Makarenko's pedagogical system are considered, from the point of view of modern scientific approaches, the objective factors of its effectiveness are found out. There is an opinion: if th
Autor:
C M, Connell, S, Raby, I, Beh, T R, Flint, E H, Williams, D T, Fearon, D I, Jodrell, T, Janowitz
Publikováno v:
Annals of Oncology
Autor:
I. Behravan, S.M. Razavi
Publikováno v:
Journal of Electrical and Computer Engineering Innovations, Vol 10, Iss 2, Pp 447-462 (2022)
Background and Objectives: Stock markets have a key role in the economic situation of the countries. Thus one of the major methods of flourishing the economy can be getting people to invest their money in the stock market. For this purpose, reducing
Externí odkaz:
https://doaj.org/article/8c960fa40cd044c59221c617081ed343
Autor:
Grant D. Stewart, S. Leung, K. Clement, I. Beh, K. O’Connor, Jane Hendry, Alan McNeill, Antony C. P. Riddick, Grenville Oades, Alexander Laird, O. Aboumarzouk
Publikováno v:
European Urology Supplements. 17:e12
Publikováno v:
The Journal of Steroid Biochemistry and Molecular Biology. 41:437-443
Of the gonadal steroids in the male, testosterone is the most important regulator of gonadotrophin secretion. However, whether testosterone affects gonadotrophin secretion directly or whether it must first be aromatized to estrogens is controversial.
Autor:
I. Behravan, S. M. Razavi
Publikováno v:
Journal of Electrical and Computer Engineering Innovations, Vol 8, Iss 1, Pp 31-40 (2020)
Background and Objectives: Stock price prediction has become one of the interesting and also challenging topics for researchers in the past few years. Due to the non-linear nature of the time-series data of the stock prices, mathematical modeling app
Externí odkaz:
https://doaj.org/article/09926bb4a0324d9f98c50218652532db
Akademický článek
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Akademický článek
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Publikováno v:
Journal of Electrical and Computer Engineering Innovations, Vol 6, Iss 2, Pp 251-271 (2018)
Background and Objectives: Big data referred to huge datasets with high number of objects and high number of dimensions. Mining and extracting big datasets is beyond the capability of conventional data mining algorithms including clustering algorithm
Externí odkaz:
https://doaj.org/article/691f27f2dbb54e43892f76c01e84a98e
Publikováno v:
European Journal of Cancer and Clinical Oncology. 26:173