Zobrazeno 1 - 10
of 1 290
pro vyhledávání: '"Learning potential"'
Publikováno v:
High Ability Studies. Dec2020, Vol. 31 Issue 2, p181-212. 32p. 1 Diagram, 1 Chart.
Autor:
Jie Deng
Publikováno v:
Geophysical Research Letters, Vol 51, Iss 16, Pp n/a-n/a (2024)
Abstract The precipitation of magnesium oxide (MgO) from the Earth's core has been proposed as a potential energy source to power the geodynamo prior to the inner core solidification. Yet, the stable phase and exact amount of MgO exsolution remain el
Externí odkaz:
https://doaj.org/article/6462aabf46464579b0e16a94e5880eea
Autor:
Hapsari, Nadya Amalia Putri1 nadyaamalia.2022@student.uny.ac.id
Publikováno v:
Open Learning. Nov2024, Vol. 39 Issue 4, p430-432. 3p.
Autor:
Abbas Zarei, Elham Shishegarha
Publikováno v:
Journal of Language Horizons, Vol 7, Iss 4, Pp 149-176 (2024)
Reducing anxiety in foreign language learning has long been a concern for many teachers. This study focused on exploring the effects of three dynamic assessment models on L2 speaking and listening anxiety. The participants were 120 pre-intermediate I
Externí odkaz:
https://doaj.org/article/01bf181f8a7d464881f62a06425580d8
Publikováno v:
Psicología Educativa: Revista de los Psicólogos de la Educación, Vol 30, Iss 1, Pp 11-18 (2024)
Learning potential can be used to assess and provide direction for action in diverse populations in modern educational settings. This study examined the relationship between the EHPAP dynamic evaluation scale and cognitive abilities (linguistic devel
Externí odkaz:
https://doaj.org/article/250ab4a1dce9435c9cb706a9e1fe6a56
Autor:
Kozulin, Alex1 kozulin@post.tau.ac.il, Levi, Tziona2
Publikováno v:
Journal of Cognitive Education & Psychology. 2018, Vol. 17 Issue 1, p16-27. 12p.
Autor:
Mozhdeh Shiranirad, Niall J. English
Publikováno v:
Crystals, Vol 14, Iss 11, p 930 (2024)
A novel approach for constructing a machine-learned potential energy surface (MLP) from unlabeled training data is presented. Utilizing neural networks augmented with a pool-based active learning sampling method, a potential energy surface (PES) is d
Externí odkaz:
https://doaj.org/article/e357c0f93ed542b29a9a9615b251733b
Publikováno v:
Artificial Intelligence Chemistry, Vol 2, Iss 1, Pp 100059- (2024)
The choice of a proper machine learning (ML) algorithm for constructing potential energy surface (PES) models has become a crucial tool in the fields of quantum chemistry and computational modeling. These algorithms offer the ability to make reliable
Externí odkaz:
https://doaj.org/article/411963ca902b4c258ba5bef105a12451
Publikováno v:
National Science Open, Vol 3 (2024)
Nanoparticles, distinguished by their unique chemical and physical properties, have emerged as focal points within the realm of materials science. Traditional theoretical approaches for atomic simulations mainly include empirical force field and ab i
Externí odkaz:
https://doaj.org/article/dba259b7efc24ed8b417413e6fbf6009
Autor:
Terumasa Shimada, Pavel M. Usov, Yuki Wada, Hiroyoshi Ohtsu, Taku Watanabe, Kiyohiro Adachi, Daisuke Hashizume, Takaya Matsumoto, Masaki Kawano
Publikováno v:
Advanced Science, Vol 11, Iss 2, Pp n/a-n/a (2024)
Abstract A coordination network containing isolated pores without interconnecting channels is prepared from a tetrahedral ligand and copper(I) iodide. Despite the lack of accessibility, CO2 is selectively adsorbed into these pores at 298 K and then r
Externí odkaz:
https://doaj.org/article/f664858d880d4107bcd1ac98ec88129c