154 research outputs found
A manifold of pure Gibbs states of the Ising model on a Cayley tree
We study the Ising model on a Cayley tree. A wide class of new Gibbs states
is exhibited
A manifold of pure Gibbs states of the Ising model on the Lobachevsky plane
In this paper we construct many `new' Gibbs states of the Ising model on the
Lobachevsky plane, the millefeuilles. Unlike the usual states on the integer
lattices, our foliated states have infinitely many interfaces. The interfaces
are rigid and fill the Lobachevsky plane with positive density.Comment: 25 pages, 7 figure
Glassy states: the free Ising model on a tree
We consider the ferromagnetic Ising model on the Cayley tree and we
investigate the decomposition of the free state into extremal states below the
spin glass temperature. We show that this decomposition has uncountably many
components. The tail observable showing that the free state is not extremal is
related to the Edwards-Anderson parameter, measuring the variance of the
(random) magnetization obtained from drawing boundary conditions from the free
state
On a model of random cycles
We introduce a model of random permutations of the sites of the cubic lattice. Permutations are weighted so that sites are preferably sent onto neighbors. We present numerical evidence for the occurrence of a transition to a phase with infinite, macroscopic cycles
Dynamic model of lithium polymer battery: Load resistor method for electric parameters identification
Maximum battery runtime and its transients behaviors are crucial in many applications. With accurate battery models in hand, circuit designers can evaluate the performance of its developments considering the influence of a finite source of energy which has a particular dynamics; as well as the energy storage systems can be optimized. First, this work describes a complete dynamic model of a lithium polymer battery. In the sequel a simple and novel procedure is used to obtain the electric parameters of adopted model with the advantage of using only one resistor to represent the battery load and a pc-connected multimeter. The methodology used to identify the parameters of the battery model is simple, clearly explained and can be applied to various types of batteries. Simulation and experimental results are presented and discussed, demonstrating the good performance of the proposed identification methodology.Fil: Gandolfo, Daniel. Universidad Nacional de San Juan. Facultad de IngenierÃa. Instituto de Automática; Argentina. Consejo Nacional de Investigaciones CientÃficas y Técnicas. Centro CientÃfico Tecnológico Conicet - San Juan; ArgentinaFil: Brandao, Alexandre. Universidade Federal de Viçosa; BrasilFil: Patiño, Héctor Daniel. Universidad Nacional de San Juan. Facultad de IngenierÃa. Instituto de Automática; ArgentinaFil: Molina, Marcelo Gustavo. Consejo Nacional de Investigaciones CientÃficas y Técnicas. Centro CientÃfico Tecnológico Conicet - San Juan; Argentina. Universidad Nacional de San Juan. Facultad de IngenierÃa. Instituto de EnergÃa Eléctrica; Argentin
Geometric expansion of the log-partition function of the anisotropic Heisenberg model
We study the asymptotic expansion of the log-partition function of the
anisotropic Heisenberg model in a bounded domain as this domain is dilated to
infinity. Using the Ginibre's representation of the anisotropic Heisenberg
model as a gas of interacting trajectories of a compound Poisson process we
find all the non-decreasing terms of this expansion. They are given explicitly
in terms of functional integrals. As the main technical tool we use the cluster
expansion method.Comment: 38 page
On the mean Euler characteristic and mean Betti numbers of the Ising model with arbitrary spin
12 pagesThe behaviour of the mean Euler-Poincaré characteristic and mean Betti's numbers in the Ising model with arbitrary spin on \mathbbm{Z}^2 as functions of the temperature is investigated through intensive Monte Carlo simulations. We also consider these quantities for each color in the state space of the model. We find that these topological invariants show a sharp transition at the critical point
Clinical features and evolution of oral cancer : a study of 274 cases in Buenos Aires, Argentina
Oral Squamous Cell Carcinoma has a low survival rate, 34 to 66% five-year survival after initial diagnosis, due to late diagnosis. Objetives: The aim of the present study was to examine the clinical features and evolution of oral cancer in the University of Buenos Aires. Study design: 274 patients with primary oral carcinoma, over the 1992- 2000 period were included in the study. Results: The survival rate of this population was 80% at 12 months, 60% at 24 months, 46% at 36 months, 40% at 48 months, and 39 % at 60 months (5 years). The tumor localizations with worse prognosis were floor of mouth and tongue, with survival rates of 19% and 27% respectively. Sixty-five percent of the oral carcinomas evaluated were diagnosed at advanced stages (III and IV). Conclusions: The patients under study exhibited the lowest survival rate described for oral cancer (34% five-year survival after initial diagnosis). The population included in this study can be considered representative of the Argentine population. This bad prognosis would be mainly due to the large number of oral cancer cases that were diagnosed at advanced stages
História, currÃculo e ideologia: considerações acerca do desenvolvimento do componente curricular História na educação básica brasileira
Tomando como referencial teórico aspectos do pensamento de Enrique Dussel e da tradição marxista, os autores buscam analisar, de sobrevôo, a evolução do componente curricular história na educação básica brasileira. Procuram, em sua leitura, explicitar o caráter ideológico, alienante e opressor que a disciplina manteve em suas transformações nos diferentes momentos da educação nacional
Nonlinear Trajectory Tracking Control for Marine Vessels with Additive Uncertainties
The paper presents a nonlinear control law for a marine vessel to track a reference trajectory. In the wake of theresults obtained in [19], an integrative approach is incorporated in the linear algebra methodology in order toreduce the effect of the uncertainty in the tracking error. This new approach does not increase the complexityof the design methodology. In addition, the zero convergence of tracking error under polynomial uncertaintiesis demonstrated. Simulation results under environmental disturbance and model mismatches are presentedand discussed.Fil: Serrano, Mario Emanuel. Consejo Nacional de Investigaciones CientÃficas y Técnicas. Centro CientÃfico Tecnológico Conicet - San Juan; Argentina. Universidad Nacional de San Juan. Facultad de IngenierÃa. Instituto de IngenierÃa QuÃmica; ArgentinaFil: Godoy Bordes, Sebastian Alejandro. Universidad Nacional de San Juan. Facultad de IngenierÃa. Instituto de IngenierÃa QuÃmica; Argentina. Consejo Nacional de Investigaciones CientÃficas y Técnicas. Centro CientÃfico Tecnológico Conicet - San Juan. Instituto de Automática. Universidad Nacional de San Juan. Facultad de IngenierÃa. Instituto de Automática; ArgentinaFil: Gandolfo, Daniel. Consejo Nacional de Investigaciones CientÃficas y Técnicas. Centro CientÃfico Tecnológico Conicet - San Juan. Instituto de Automática. Universidad Nacional de San Juan. Facultad de IngenierÃa. Instituto de Automática; ArgentinaFil: Mut, Vicente Antonio. Consejo Nacional de Investigaciones CientÃficas y Técnicas. Centro CientÃfico Tecnológico Conicet - San Juan. Instituto de Automática. Universidad Nacional de San Juan. Facultad de IngenierÃa. Instituto de Automática; ArgentinaFil: Scaglia, Gustavo Juan Eduardo. Consejo Nacional de Investigaciones CientÃficas y Técnicas. Centro CientÃfico Tecnológico Conicet - San Juan; Argentina. Universidad Nacional de San Juan. Facultad de IngenierÃa. Instituto de IngenierÃa QuÃmica; Argentin
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