Zobrazeno 1 - 10
of 47
pro vyhledávání: '"Brunnet, Leonardo Gregory"'
Autor:
Brunnet, Leonardo Gregory
Publikováno v:
Biblioteca Digital de Teses e Dissertações da UFRGSUniversidade Federal do Rio Grande do SulUFRGS.
Neste trabalho estudamos as propriedades eletrônicas de sistemas compostos de certos elementos de terras raras. Estes sistemas apresentam propriedades físicas anômalas em decorrência da interação entre os elétrons 4f e os elétrons de conduç
Externí odkaz:
http://hdl.handle.net/10183/29431
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Brunnet, Leonardo Gregory
Publikováno v:
Biblioteca Digital de Teses e Dissertações da UFRGSUniversidade Federal do Rio Grande do SulUFRGS.
Neste trabalho estudou-se os efeitos de pressão e temperatura no gradiente de campo elétrico (GCE) presente no sítio do In do composto intermelático AgIn2. As medidas foram feitas através da técnica de correlação angular diferencial perturbad
Externí odkaz:
http://hdl.handle.net/10183/149202
Autor:
Montagne, Raúl *, Brunnet, Leonardo Gregory
Publikováno v:
In Physica A: Statistical Mechanics and its Applications 2003 319:295-304
Publikováno v:
PLoS Computational Biology. Feb2014, Vol. 10 Issue 2, p1-11. 11p. 2 Diagrams, 5 Graphs.
Publikováno v:
Repositório Institucional da UFRGS
Universidade Federal do Rio Grande do Sul (UFRGS)
instacron:UFRGS
Universidade Federal do Rio Grande do Sul (UFRGS)
instacron:UFRGS
Cell migration is essential to cell segregation, playing a central role in tissue formation, wound healing, and tumor evolution. Considering random mixtures of two cell types, it is still not clear which cell characteristics define clustering time sc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3056::feb54a0783f50b1c71b8adb075d84cd9
Autor:
Ferreira, Ricardo Melo, Rybarczyk Filho, José Luiz, Dalmolin, Rodrigo Juliani Siqueira, Castro, Mauro Antônio Alves, Moreira, Jose Claudio Fonseca, Brunnet, Leonardo Gregory, Almeida, Rita Maria Cunha de
Publikováno v:
Repositório Institucional da UFRGS
Universidade Federal do Rio Grande do Sul (UFRGS)
instacron:UFRGS
Universidade Federal do Rio Grande do Sul (UFRGS)
instacron:UFRGS
Whole genome protein-protein association networks are not random and their topological properties stem from genome evolution mechanisms. In fact, more connected, but less clustered proteins are related to genes that, in general, present more paralogs
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3056::c7fbfb4ca978104610c2cb726a1d5f3e
Publikováno v:
Repositório Institucional da UFRGS
Universidade Federal do Rio Grande do Sul (UFRGS)
instacron:UFRGS
Universidade Federal do Rio Grande do Sul (UFRGS)
instacron:UFRGS
Self-propelled particles are used to simulate cell aggregates in a model considering homogeneous adhesion forces between cells and using only motility differences as segregation drivers. The tendency of cells to follow their neighbors is also include
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3056::d4c57932a5b1e6f835faca8be4c75312
Publikováno v:
Repositório Institucional da UFRGS
Universidade Federal do Rio Grande do Sul (UFRGS)
instacron:UFRGS
Universidade Federal do Rio Grande do Sul (UFRGS)
instacron:UFRGS
A Green’s function method is developed to approach the spatiotemporal equations describing the cAMP production in Dictyostelium discoideum, markedly reducing numerical calculations times: cAMP concentrations and gradients are calculated just at the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3056::ac702512f969266bd82b9f26db0d96c1
Publikováno v:
Repositório Institucional da UFRGS
Universidade Federal do Rio Grande do Sul (UFRGS)
instacron:UFRGS
Universidade Federal do Rio Grande do Sul (UFRGS)
instacron:UFRGS
We investigate the dynamical states of a two-dimensional network of Hindmarsh-Rose spiking neurons, in the vicinity of the current threshold where the single neuron becomes active. Each neuron is electrically coupled with neurons in its close neighbo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3056::f34c4ebdd10a517066ff3cd9747e8cd1