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Alessandro P. S. de Moura
Researcher at University of Aberdeen
Publications - 68
Citations - 2265
Alessandro P. S. de Moura is an academic researcher from University of Aberdeen. The author has contributed to research in topics: Attractor & Dynamical systems theory. The author has an hindex of 25, co-authored 67 publications receiving 2077 citations. Previous affiliations of Alessandro P. S. de Moura include Arizona State University & University of São Paulo.
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Journal ArticleDOI
Topology of the conceptual network of language
Adilson E. Motter,Alessandro P. S. de Moura,Alessandro P. S. de Moura,Ying-Cheng Lai,Partha Dasgupta +4 more
TL;DR: This work maps out the conceptual network of the English language, with the connections being defined by the entries in a Thesaurus dictionary, and finds that this network presents a small-world structure, and appears to exhibit an asymptotic scale-free feature with algebraic connectivity distribution.
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Chemical and biological activity in open flows: A dynamical system approach
TL;DR: In this paper, the authors review recent progress in this field, which became possible due to the application of methods taken from dynamical system theory, and place special emphasis on the derivation of effective rate equations which contain singular terms expressing the fact that the reaction takes place on a moving fractal catalyst, on the unstable foliation of the reaction free advection dynamics.
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Frontiers of chaotic advection
Hassan Aref,John Blake,Marko Budišić,Silvana S. S. Cardoso,Julyan H. E. Cartwright,Herman Clercx,Kamal El Omari,Ulrike Feudel,Ramin Golestanian,Emmanuelle Gouillart,GertJan van Heijst,Tatyana S. Krasnopolskaya,Yves Le Guer,Robert S. MacKay,Vyacheslav V. Meleshko,Guy Metcalfe,Igor Mezic,Alessandro P. S. de Moura,Oreste Piro,Michel F.M. Speetjens,Rob Sturman,Jean-Luc Thiffeault,Idan Tuval +22 more
TL;DR: In this article, the present position of and survey future perspectives in the physics of chaotic advection: the field that emerged three decades ago at the intersection of fluid mechanics and nonlinear dynamics, which encompasses a range of applications with length scales ranging from micrometers to hundreds of kilometers.
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The dynamics of genome replication using deep sequencing
Carolin A. Müller,Michelle Hawkins,Renata Retkute,Sunir Malla,Ray Wilson,Martin J. Blythe,Ryuichiro Nakato,Makiko Komata,Katsuhiko Shirahige,Alessandro P. S. de Moura,Conrad A. Nieduszynski +10 more
TL;DR: It is shown that the replication profiles of haploid and diploid cells are indistinguishable, indicating that both cell types use the same cohort of origins with the same activities, which provides a high-resolution resource and methodological framework for studying genome biology.
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Mathematical modelling of whole chromosome replication
TL;DR: It is demonstrated that a stochastic model can recapitulate experimental observations, including those that might be interpreted as deterministic such as ordered origin activation times.