Zobrazeno 1 - 10
of 80
pro vyhledávání: '"Sanni K"'
Publikováno v:
South African Journal of Childhood Education, Vol 10, Iss 1, Pp e1-e9 (2020)
Background: Current research on early childhood education (ECE) leadership as well as on policy reform in Finland suggests that pedagogical leadership must be considered as a purposeful and planned process. Pedagogical leadership plans play a key rol
Externí odkaz:
https://doaj.org/article/672278b59551480a81eacdb41f5bef3d
Publikováno v:
Mathematical & Computer Modelling of Dynamical Systems. Dec2024, Vol. 30 Issue 1, p131-155. 25p.
Publikováno v:
Journal of Nigerian Society of Physical Sciences. Aug2023, Vol. 5 Issue 3, p1-11. 11p.
Akademický článek
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Autor:
Ogungbesan, G. O., Sanni, K. A.
Publikováno v:
LAUTECH Journal of Civil and Environmental Studies; Vol. 8 No. 1 (2022); 105-113
Hydrochemistry of the surface water in Oba Dam, Ogbomoso was investigated to determine the chemical characteristic and evaluate the water quality for drinking, domestic and agricultural usage. Twenty selected water samples collected at different poin
Publikováno v:
Arabian Journal for Science & Engineering (Springer Science & Business Media B.V. ). 2021, Vol. 46 Issue 1, p631-644. 14p.
Publikováno v:
Bulgarian Journal of Soil Science, Vol 6, Iss 2, Pp 176-184 (2021)
This study was carried out at the teaching and research farm of the Department of Crop Production and Horticulture, Lagos State Polytechnic Ikorodu to determine the effects of different levels of goat and pig droppings on the performance of cucumber
Publikováno v:
Nigerian Journal of Paediatrics, Vol 41, Iss 4, Pp 386-389 (2024)
Hypersomnia, a disorder of sleep characterized by excessive quantity of sleep and excessive daytime sleepiness (EDS), could adversely affect health outcomes in childhood. To highlight diagnostic challenges and the impact of childhood hypersomnia in
Externí odkaz:
https://doaj.org/article/8b0cb7fe46fe47ba809860feca01ed0c
Autor:
Sanni Kuikka
Publikováno v:
Socius, Vol 10 (2024)
This article integrates scholarship on determinants of labor market transitions with the flexible modeling strategies available through machine learning. Leveraging population registers from Finland, this study analyzes how well we can predict (un)em
Externí odkaz:
https://doaj.org/article/6a3ec596170c4961a8b3310dc24e0a6b
Publikováno v:
Journal of Sustainable Veterinary & Allied Sciences; Mar2023, Vol. 4 Issue 1, p42-47, 6p