Posição e densidade dos zeros de Yang-Lee do modelo de Blume-Emery-Griffiths unidimensional sobre anéis conexos e desconexos

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Extending the use of canonical and microcanonical Monte Carlo algorithms to spin models

We describe the canonical and microcanonical Monte Carlo algorithms for different systems that can be described by spin models. Sites of the lattice, chosen at random, interchange their spin values, provided they are different. The canonical ensemble is generated by performing exchanges according to the Metropolis prescription whereas in the microcanonical ensemble, exchanges are performed as long as the total energy remains constant. A systematic finite size analysis of intensive quantities and a comparison with results obtained from distinct ensembles are performed and the quality of results reveal that the present approach may be an useful tool for the study of phase transitions, specially first-order transitions. (C) 2009 Elsevier B.V. All rights reserved.

Generalized partition function zeros of 1D spin models and their critical behavior at edge singularities

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Novo comportamento crítico da singularidade de Yang-Lee

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

The Yang-Lee edge singularity in spin models on connected and non-connected rings

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Unusual Yang-Lee edge singularity in the one-dimensional axial-next-to-nearest-neighbor Ising model

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Critical behavior at edge singularities in one-dimensional spin models

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Three dimensional digital-computer model of the Ferron sandstone aquifer near Emery, Utah /

"October 1980."

Glassy dielectric response in Tb2NiMnO6 double perovskite with similarities to a Griffiths phase

Results of frequency-dependent and temperature-dependent dielectric measurements performed on the double-perovskite Tb2NiMnO6 are presented. The real (epsilon(1)(f,T)) and imaginary (epsilon(2)(f,T)) parts of dielectric permittivity show three plateaus suggesting dielectric relaxation originating from the bulk, grain boundaries and the sample-electrode interfaces, respectively. The epsilon(1)(f,T) and epsilon(2)(f,T) are successfully simulated by a RC circuit model. The complex plane of impedance, Z'-Z `', is simulated using a series network with a resistor R and a constant phase element. Through the analysis of epsilon(f,T) using the modified Debye model, two different relaxation time regimes separated by a characteristic temperature, T*, are identified. The temperature variation of R and C corresponding to the bulk and the parameter alpha from modified Debye fit lend support to this hypothesis. Interestingly, the T* compares with the Griffiths temperature for this compound observed in magnetic measurements. Though these results cannot be interpreted as magnetoelectric coupling, the relationship between lattice and magnetism is markedly clear. We assume that the observed features have their origin in the polar nanoregions which originate from the inherent cationic defect structure of double perovskites. Copyright (C) EPLA, 2013

Diversidade genética em um grupo de anuros em miniatura endêmico da Mata Atlântica brasileira (Euparkerella Griffiths 1959).

A Mata Atlântica (MA) está entre as regiões com maior biodiversidade e mais ameaçadas do planeta. Esforços em diversas áreas do conhecimento têm sido feitos para que se tenha uma estimativa mais refinada da diversidade existente e sua organização ao longo do bioma. O crescente número de estudos que buscam reconstituir a história da diversificação da MA apontam para um cenário espacial e temporal complexo, havendo ainda uma lacuna no conhecimento dos processos em pequena escala. Vertebrados em miniatura têm se mostrado uma boa ferramenta para estudos de processos evolutivos em pequena escala. Assim, o gênero Euparkerella, endêmico de uma pequena região da MA dos Estados do Rio de Janeiro (RJ) e Espírito Santo (ES), foi escolhido como modelo para este estudo. No primeiro capítulo buscou-se descrever a diversidade existente dentro do gênero a partir de uma filogenia molecular. Para isso, utilizaram-se métodos bayesianos para gerar genealogias de genes e de espécies a partir de um fragmento de gene mitocondrial e quatro fragmentos de genes nucleares. Os resultados obtidos apontaram para uma grande diversidade críptica no gênero. Foram identificadas seis unidades evolutivas significativamente divergentes para o RJ: duas em Euparkerella cochranae, três em Euparkerella brasiliensis, e Euparkerella sp.. A espécie mais basal recuperada foi Euparkerella robusta, do ES, e estimou-se o início da diversificação do gênero para o final do Mioceno. O segundo capítulo descreve onze marcadores de microssatélites desenvolvidos para Euparkerella brasiliensis através do método de pirosequenciamento de nova geração 454. No terceiro capítulo estudou-se apenas uma unidade evolutiva, Euparkerella brasiliensis da área dos Três Picos/ RJ. A partir de marcadores de evolução rápida (microssatélites) e lenta (sequências de DNA) buscou-se compreender a estrutura e a dinâmica populacional desta unidade evolutiva em uma área bastante pequena (aprox. 20 km) sob influência de um gradiente ambiental altitudinal (40 m 1000 m). Foram identificadas, a partir dos microssatélites, duas subpopulações geneticamente distintas nas bordas do gradiente. O fluxo gênico se deu predominantemente das bordas para a zona de contato, onde foi observado o maior efetivo populacional. Tais resultados indicam que pequenas variações ambientais podem atuar no isolamento populacional em Euparkerella e corroboram o padrão de formas microendêmicas identificadas na filogenia. Futuros estudos devem ser feitos no sentido de buscar caracterizar morfologicamente as unidades evolutivas aqui identificadas; preencher as lacunas amostrais, especialmente no ES; e descrever os processos que atuam em pequena escala nas zonas de contato entre as unidades evolutivas e fatores limitantes a distribuição das mesmas.

A GIS-based empirical model for vegetation prediction in Lefka Ori, Crete

The aim of the study was to establish and verify a predictive vegetation model for plant community distribution in the alti-Mediterranean zone of the Lefka Ori massif, western Crete. Based on previous work three variables were identified as significant determinants of plant community distribution, namely altitude, slope angle and geomorphic landform. The response of four community types against these variables was tested using classification trees analysis in order to model community type occurrence. V-fold cross-validation plots were used to determine the length of the best fitting tree. The final 9node tree selected, classified correctly 92.5% of the samples. The results were used to provide decision rules for the construction of a spatial model for each community type. The model was implemented within a Geographical Information System (GIS) to predict the distribution of each community type in the study site. The evaluation of the model in the field using an error matrix gave an overall accuracy of 71%. The user's accuracy was higher for the Crepis-Cirsium (100%) and Telephium-Herniaria community type (66.7%) and relatively lower for the Peucedanum-Alyssum and Dianthus-Lomelosia community types (63.2% and 62.5%, respectively). Misclassification and field validation points to the need for improved geomorphological mapping and suggests the presence of transitional communities between existing community types.

A GIS-based empirical model for vegetation prediction in Lefka Ori, Crete

The aim of the study was to establish and verify a predictive vegetation model for plant community distribution in the alti-Mediterranean zone of the Lefka Ori massif, western Crete. Based on previous work three variables were identified as significant determinants of plant community distribution, namely altitude, slope angle and geomorphic landform. The response of four community types against these variables was tested using classification trees analysis in order to model community type occurrence. V-fold cross-validation plots were used to determine the length of the best fitting tree. The final 9node tree selected, classified correctly 92.5% of the samples. The results were used to provide decision rules for the construction of a spatial model for each community type. The model was implemented within a Geographical Information System (GIS) to predict the distribution of each community type in the study site. The evaluation of the model in the field using an error matrix gave an overall accuracy of 71%. The user's accuracy was higher for the Crepis-Cirsium (100%) and Telephium-Herniaria community type (66.7%) and relatively lower for the Peucedanum-Alyssum and Dianthus-Lomelosia community types (63.2% and 62.5%, respectively). Misclassification and field validation points to the need for improved geomorphological mapping and suggests the presence of transitional communities between existing community types.