Zobrazeno 1 - 10
of 204
pro vyhledávání: '"Ángeles Serrano"'
Publikováno v:
Clínica y Salud. Investigación Empírica en Psicología, Vol 27, Iss 3, Pp 147-155 (2016)
The present paper explores the relationship between psychological and somatic dissociation and different personality and emotional variables, including suggestibility, alexithymia, and emotional regulation and dysregulation. The results with a sample
Externí odkaz:
https://doaj.org/article/b0783bd1774a45df81a6f193979edb97
Autor:
ángeles Serrano-Sevillano (1), Héctor González-Ordi (2), Beatriz Corbí-Gran (3), Miguel ángel Vallejo-Pareja (1)
Publikováno v:
Clínica y Salud. Investigación Empírica en Psicología, Vol 28, Iss 3 (2017)
Externí odkaz:
https://doaj.org/article/caa2993532cd4b498ded1f26337755d5
Publikováno v:
Civilistica.com, Vol 13, Iss 2, Pp 1-27 (2024)
En la actualidad, contemplar la realidad de la familia es un ejercicio complicado, como consecuencia del proceso de transformación al que se ha visto sometida la institución en las últimas décadas. La convergencia de factores fundamentalmente soc
Externí odkaz:
https://doaj.org/article/e09b0244640a487e96b5fa3513f711f3
Publikováno v:
Communications Physics, Vol 7, Iss 1, Pp 1-10 (2024)
Abstract The geometric renormalization technique for complex networks has successfully revealed the multiscale self-similarity of real network topologies and can be applied to generate replicas at different length scales. Here, we extend the geometri
Externí odkaz:
https://doaj.org/article/141b4ddc38bb4800a714fbc3c48b430f
Publikováno v:
NeuroImage, Vol 297, Iss , Pp 120703- (2024)
Communication protocols in the brain connectome describe how to transfer information from one region to another. Typically, these protocols hinge on either the spatial distances between brain regions or the intensity of their connections. Yet, none o
Externí odkaz:
https://doaj.org/article/e60bd943b8e149ef9ee09dba087003ca
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-11 (2023)
Abstract One of the pillars of the geometric approach to networks has been the development of model-based mapping tools that embed real networks in its latent geometry. In particular, the tool Mercator embeds networks into the hyperbolic plane. Howev
Externí odkaz:
https://doaj.org/article/00affdbfcd1a45faa86b160122220e8e
Publikováno v:
Physical Review Research, Vol 6, Iss 1, p 013337 (2024)
Geometry can be used to explain many properties commonly observed in real networks. It is therefore often assumed that real networks, especially those with high average local clustering, live in an underlying hidden geometric space. However, it has b
Externí odkaz:
https://doaj.org/article/41c252155d01473a9262667ba0e8b36c
Publikováno v:
Communications Physics, Vol 5, Iss 1, Pp 1-7 (2022)
The Berezinskii, Kosterlitz, and Thouless (BKT) model shows that there are finite temperature phase transitions driven not by symmetry breaking, but rather by topological defects such as vortices. The authors show that a transition occurring in a gen
Externí odkaz:
https://doaj.org/article/9742e1a8b4654e85b90a6a4e057fd608
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-10 (2022)
Reducing of dimension is often necessary to detect and analyze patterns in large datasets and complex networks. Here, the authors propose a method for detection of the intrinsic dimensionality of high-dimensional networks to reproduce their complex s
Externí odkaz:
https://doaj.org/article/113577e29a42499ca0505ad2aa653fc9
Autor:
Jasper van der Kolk, Guillermo García-Pérez, Nikos E. Kouvaris, M. Ángeles Serrano, Marián Boguñá
Publikováno v:
Physical Review X, Vol 13, Iss 2, p 021038 (2023)
Turing patterns, arising from the interplay between competing species of diffusive particles, have long been an important concept for describing nonequilibrium self-organization in nature and have been extensively investigated in many chemical and bi
Externí odkaz:
https://doaj.org/article/89ee4a5597cf46aab471c640f6a30f98