1,721,087 research outputs found
Scaling behaviour in a nonlocal and nonlinear diffusion equation
No full textWe present the results of analytical studies of a one-dimensional nonlocal and nonlinear diffusion equation describing nonequilibrium processes ranging from aggregation phenomena to the cooperation of individuals. On tuning the initial conditions, a dynamical transition with a universal scaling behavior is observed between two different asymptotic (in time) solutions. The scaling behavior at the transition is also obtained in a self-organized manner, independent of the initial conditions, on temporally evolving the diffusion equation subjected to a mirror symmetry transformation
Physiological and pathological roles of the apoptosome
No full textDifferent cellular pathways can lead to apoptosis. Apaf1 is the molecular core of the apoptosome, a multiproteic complex mediating the so-called mitochondrial pathway of cell death. The importance of this pathway during development has been clearly demonstrated by knocking out key genes. Also, the relevance of Apaf I dosage during development has been recently underlined. Moreover, a growing body of evidences seems to point out a possible role of the mitochondria-dependent apoptosis in different pathologies. In particular, we discuss here some recent evidences regarding the putative role of the apoptosome in neurodegeneration and cancer
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Chaos: from simple models to complex systems
No full textChaos: from simple models to complex systems aims to guide science and engineering students through chaos and nonlinear dynamics from classical examples to the most recent fields of research. The first part, intended for undergraduate and graduate students, is a gentle and self-contained introduction to the concepts and main tools for the characterization of deterministic chaotic systems, with emphasis to statistical approaches. The second part can be used as a reference by researchers as it focuses on more advanced topics including the characterization of chaos with tools of information theo
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
SPORADICITY AND SYNCHRONIZATION IN ONE-DIMENSIONAL ASYMMETRICALLY COUPLED MAPS
No full textA one-dimensional chain of sporadic maps with asymmetric nearest-neighbour couplings is studied numerically. It is shown that in the region of strong asymmetry the system becomes spatially fully synchronized, even in the thermodynamic limit, while the Lyapunov exponent is zero. For weak asymmetry the synchronization is no more complete, and the Lyapunov exponent becomes positive. At variance with the case of non-sporadic maps, where the coherence length does not change in time, here the coherence length exhibits strong fluctuations. In addition one has a clear relation between temporal and spatial chaos, i.e. a positive effective Lyapunov exponent corresponds to a lack of synchronization and vice versa
Defining and identifying communities in networks
No full textThe investigation of community structures in networks is an important issue in many domains and disciplines. This problem is relevant for social tasks (objective analysis of relationships on the web), biological inquiries (functional studies in metabolic and protein networks), or technological problems (optimization of large infrastructures). Several types of algorithms exist for revealing the community structure in networks, but a general and quantitative definition of community is not implemented in the algorithms, leading to an intrinsic difficulty in the interpretation of the results without any additional nontopological information. In this article we deal with this problem by showing how quantitative definitions of community are implemented in practice in the existing algorithms. In this way the algorithms for the identification of the community structure become fully self-contained. Furthermore, we propose a local algorithm to detect communities which outperforms the existing algorithms with respect to computational cost, keeping the same level of reliability. The algorithm is tested on artificial and real-world graphs. In particular, we show how the algorithm applies to a network of scientific collaborations, which, for its size, cannot be attacked with the usual methods. This type of local algorithm could open the way to applications to large-scale technological and biological systems
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