544 research outputs found

    Information Geometry, Inference Methods and Chaotic Energy Levels Statistics

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    In this Letter, we propose a novel information-geometric characterization of chaotic (integrable) energy level statistics of a quantum antiferromagnetic Ising spin chain in a tilted (transverse) external magnetic field. Finally, we conjecture our results might find some potential physical applications in quantum energy level statistics.Comment: 9 pages, added correct journal referenc

    Abelian Magnetic Monopoles and Topologically Massive Vector Bosons in Scalar-Tensor Gravity with Torsion Potential

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    A Lagrangian formulation describing the electromagnetic interaction - mediated by topologically massive vector bosons - between charged, spin-(1/2) fermions with an abelian magnetic monopole in a curved spacetime with non-minimal coupling and torsion potential is presented. The covariant field equations are obtained. The issue of coexistence of massive photons and magnetic monopoles is addressed in the present framework. It is found that despite the topological nature of photon mass generation in curved spacetime with isotropic dilaton field, the classical field theory describing the nonrelativistic electromagnetic interaction between a point-like electric charge and magnetic monopole is inconsistent.Comment: 18 pages, no figure

    Analytical review of passive mass transfer of water vapor in a space suit

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    Engineering study and analysis of water vapor mass transfer in space sui

    Growth and conidiation response of escovopsis weberi (Ascomycota: Hypocreales) against the fungal cultivar of acromyrmex lundii (Hymenoptera: Formicidae)

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    Leaf-cutter ants (Acromyrmex and Atta spp.) exhibit ancient and complex interactionswith the symbiotic fungus Leucoagaricus (Basidiomycetes: Agaricales) from which they feed, and withthe virulent and speciÞc fungus Escovopsis weberi J.J. Muchovej & Della Lucia (Ascomycetes:Hypocreales) that attacks the antsÕ fungal gardens. This system offers a unique opportunity to studypossible avenues for replacing polluting pesticides with a biological control agent against the ants. Weisolated both Leucoagaricus sp. and E. weberi from the gardens of Acromyrmex lundii Gue´ rin-Me´ nevillecolonies and confronted them with each other by growing Leucoagaricus on petri dishes and placinginoculated pieces of agar inoculated with E. weberi at the edges. Here we present growth curves ofLeucoagaricus sp. and E. weberi in the absence of each other, as a baseline to which we compare theeffect of the fungi on each other. As expected, we found a negative effect of E. weberi on the ant cultivarfrom different colonies of A. lundii. E. weberi increased its growth rate, as well as the levels ofconidiation, in the presence of the ant cultivar. We determined that a soluble and diffusible compound,released by the cultivar, triggered, was responsible for, or did both for the increased levels ofconidiation in E. weberi, and that this response was reversible. We discuss why our results areencouraging from a biological control perspective.Fil: Folgarait, Patricia Julia. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Quilmes. Departamento de Ciencia y Tecnología. Laboratorio de Hormigas; ArgentinaFil: Marfetan, Jorge Ariel. Universidad Nacional de Quilmes. Departamento de Ciencia y Tecnología. Laboratorio de Hormigas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Cafaro, M. J.. Universidad de Puerto Rico; Puerto Ric

    Complexity Characterization in a Probabilistic Approach to Dynamical Systems Through Information Geometry and Inductive Inference

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    Information geometric techniques and inductive inference methods hold great promise for solving computational problems of interest in classical and quantum physics, especially with regard to complexity characterization of dynamical systems in terms of their probabilistic description on curved statistical manifolds. In this article, we investigate the possibility of describing the macroscopic behavior of complex systems in terms of the underlying statistical structure of their microscopic degrees of freedom by use of statistical inductive inference and information geometry. We review the Maximum Relative Entropy (MrE) formalism and the theoretical structure of the information geometrodynamical approach to chaos (IGAC) on statistical manifolds. Special focus is devoted to the description of the roles played by the sectional curvature, the Jacobi field intensity and the information geometrodynamical entropy (IGE). These quantities serve as powerful information geometric complexity measures of information-constrained dynamics associated with arbitrary chaotic and regular systems defined on the statistical manifold. Finally, the application of such information geometric techniques to several theoretical models are presented.Comment: 29 page

    Morphometric Studies in Enterobryus luteovirgatus sp. nov. (Ichthyosporea: Eccrinales) Associated with Yellow-banded Millipedes in Puerto Rico

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    Symbiosis is the association between two non-related organisms. The common yellow-banded millipede, Anadenobolus monilicornis (Diplopoda: Spirobolida: Rhinocricidae) and the protist Enterobryus luteovirgatus sp. nov. (Ichthyosporea: Eccrinales), a species of hair-like microorganism that inhabits its gut, form a commensalistic relationship. The genus Enterobryus was once part of a fungal class (Trichomycetes), but now it is classified as a protist. Other Enterobryus species have been reported associated with non-carnivorous arthropod hosts including beetles, crabs and millipedes. Yellow-banded millipedes from Guanica Dry Forest, Puerto Rico were collected to study the prevalence of Enterobryus species. A new Enterobryus species that inhabits A. monilicornis is herein described. Traditionally, Enterobryus species are difficult to identify due to high intraspecific variation. Thus, statistical analysis of character measurements is included in an attempt to investigate character stability. Millipedes were dissected; gut linings with attached Enterobryus were placed on slides and preserved. Morphometric data of thalli, sporangiospores and holdfasts presented a normal distribution of parameters except for the basal disk width of the holdfast, which showed extreme variation. This character, although used to described Enterobryus species is not reliable in E. luteovirgatus when using the mean or range values in taxon descriptions

    On The Complexity Of Statistical Models Admitting Correlations

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    We compute the asymptotic temporal behavior of the dynamical complexity associated with the maximum probability trajectories on Gaussian statistical manifolds in presence of correlations between the variables labeling the macrostates of the system. The algorithmic structure of our asymptotic computations is presented and special focus is devoted to the diagonalization procedure that allows to simplify the problem in a remarkable way. We observe a power law decay of the information geometric complexity at a rate determined by the correlation coefficient. We conclude that macro-correlations lead to the emergence of an asymptotic information geometric compression of the statistical macrostates explored on the configuration manifold of the model in its evolution between the initial and final macrostates.Comment: 15 pages, no figures; improved versio

    Diseño óptimo de parques eólicos mediante la evaluación de múltiples fuentes de interferencia

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    En los últimos años, la energía eólica ha demostrado ser uno de los pilares claves en el desarrollo de energías sustentables. En 2021, se registró un nuevo máximo histórico en el aumento de la capacidad eólica global instalada, con una potencia total equivalente al 7% de la demanda mundial. Aún en este contexto, el diseño de parques eólicos sigue presentando un desafío para laindustria, orientado a maximizar la generación de potencia de estos  proyectos, considerando efectos de estela e incertidumbre asociada a la ocurrencia de los vientos. Este trabajo presenta un abordaje original para la optimización del diseño de parques eólicos, integrando algoritmos de evaluación de interferencias y programación matemática mixta-entera lineal. A diferencia de contribuciones anteriores, donde los efectos de estela son subestimados en las etapas de diseño, se propone una estimación precisa de interferencias así como un modelo matemático eficiente para optimizar la disposición de los parques. Se presentan dos casos de estudio de dimensiones reales para el análisis y validación de la metodología, para luego establecer conclusiones acerca de la calidad de las soluciones. Las herramientas computacionales presentadas en este trabajo conducen a diseños más eficientes que pueden facilitar la implantación de parques eólicos.Sociedad Argentina de Informática e Investigación Operativ

    Soybean seed protein concentration is limited by nitrogen supply in tropical and subtropical environments in Brazil

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    Soybean production contributes to ca. 60% of global plant-based protein used for food and feed. Brazil is the largest soybean producer and exporter, with 60% from tropical and 40% from subtropical environments. Nitrogen (N) can play an essential role in the storage of proteins in seeds; thus, it could be a key factor in increasing the quantity and quality of seeds in high-yielding soybean crops. Unlike in temperate environments, there is a gap of knowledge on whether soybean grown under tropical and subtropical climates are limited by N-fertilization to sustain the seed yield increase without detriments in seed protein concentration. This study aimed to evaluate the effect of N-fertilization on soybean seed yield, protein, and oil concentrations in tropical and subtropical environments in Brazil, thus contributing to agricultural intensification procedures and food security studies. Two levels of N-fertilization (0 and 1000 ka/ha) were tested across 11 tropical or subtropical environments. The range of latitudes explored here was from 12º S to 29º S, representing the major soybean-producing regions in Brazil either under rainfed or irrigated conditions. We found that seed yield responses to N-fertilization were significant (in some environments under rainfed with an average increase of 7%) or not significant (in irrigated). Seed protein increases due to improved N-fertilization (on average 4% for irrigated and 12% for rainfed conditions) were much higher than previous reports from temperate environments. Regardless of N supply and water deficit, there was a trend of seed protein and oil concentration increasing toward lower latitudes
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