8 results match your criteria: "Centre for Statistical Mechanics and Complexity[Affiliation]"

Behavioural response of European starlings exposed to video playback of conspecific flocks: effect of social context and predator threat.

Behav Processes

March 2014

Centre for Statistical Mechanics and Complexity (SMC), INFM-CNR, Rome, Italy; Department of Ecological and Biological Sciences, Università degli Studi della Tuscia, Viterbo, Italy.

We studied the behavioural response of European starlings to a socially mediated predation event. Adult starlings were exposed to either a video of a flock attacked by a peregrine falcon or a video of a flock not under attack. We investigated whether the social condition affected the anti-predator response under the hypothesis that in such a gregarious species singletons would increase their anti-predator behaviour more than individuals in groups, to compensate for potential increased risk.

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A network approach to orthodontic diagnosis.

Orthod Craniofac Res

November 2011

CNR Centre for Statistical Mechanics and Complexity, Physics Department, Sapienza University of Rome, Rome, Italy.

Background: Network analysis, a recent advancement in complexity science, enables understanding of the properties of complex biological processes characterized by the interaction, adaptive regulation, and coordination of a large number of participating components.

Objective: We applied network analysis to orthodontics to detect and visualize the most interconnected clinical, radiographic, and functional data pertaining to the orofacial system.

Materials And Methods: The sample consisted of 104 individuals from 7 to 13 years of age in the mixed dentition phase without previous orthodontic intervention.

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Large-scale behaviour in animal groups.

Behav Processes

July 2010

Centre for Statistical Mechanics and Complexity (SMC), CNR-INFM, Dipartimento di Fisica, Universita' di Roma La Sapienza, Piazzale Aldo Moro 2, Rome, Italy.

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Collective behavior in animal groups: theoretical models and empirical studies.

HFSP J

August 2008

Centre for Statistical Mechanics and Complexity (SMC), CNR-INFM, Department of Physics,University of Rome La Sapienza, P.le A. Moro 2, 00185 Rome, Italy and Institute for Complex Systems (ISC), CNR, Via dei Taurini 19, 00185 Rome, Italy.

Collective phenomena in animal groups have attracted much attention in the last years, becoming one of the hottest topics in ethology. There are various reasons for this. On the one hand, animal grouping provides a paradigmatic example of self-organization, where collective behavior emerges in absence of centralized control.

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New statistical tools for analyzing the structure of animal groups.

Math Biosci

October 2008

Centre for Statistical Mechanics and Complexity, CNR-INFM, Dipartimento di Fisica, Universita' di Roma 'La Sapienza', Piazzale Aldo Moro 2, 00185 Roma, Italy.

The statistical characterization of the spatial structure of large animal groups has been very limited so far, mainly due to a lack of empirical data, especially in three dimensions (3D). Here we focus on the case of large flocks of starlings (Sturnus vulgaris) in the field. We reconstruct the 3D positions of individual birds within flocks of up to few thousands of elements.

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Interaction ruling animal collective behavior depends on topological rather than metric distance: evidence from a field study.

Proc Natl Acad Sci U S A

January 2008

Centre for Statistical Mechanics and Complexity, Consiglio Nazionale delle Ricerche-Istituto Nazionale per la Fisica della Materia, Dipartimento di Fisica, and Sezione Instituto Nazionale di Fisica Nucleare, Universita' di Roma La Sapienza, Roma, Italy.

Numerical models indicate that collective animal behavior may emerge from simple local rules of interaction among the individuals. However, very little is known about the nature of such interaction, so that models and theories mostly rely on aprioristic assumptions. By reconstructing the three-dimensional positions of individual birds in airborne flocks of a few thousand members, we show that the interaction does not depend on the metric distance, as most current models and theories assume, but rather on the topological distance.

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According to the mosaic scenario, relaxation in supercooled liquids is ruled by two competing mechanisms: surface tension, opposing the creation of local excitations, and entropy, providing the drive to the configurational rearrangement of a given region. We test this scenario through numerical simulations well below the Mode Coupling temperature. For an equilibrated configuration, we freeze all the particles outside a sphere and study the thermodynamics of this sphere.

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A supercooled liquid is said to have a kinetic spinodal if a temperature Tsp exists below which the liquid relaxation time exceeds the crystal nucleation time. We revisit classical nucleation theory taking into account the viscoelastic response of the liquid to the formation of crystal nuclei and find that the kinetic spinodal is strongly influenced by elastic effects. We introduce a dimensionless parameter lambda, which is essentially the ratio between the infinite frequency shear modulus and the enthalpy of fusion of the crystal.

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