A lattice mesoscopic model of dynamically heterogeneous fluids

We introduce a mesoscopic three-dimensional Lattice Boltzmann Model which attempts to mimick the physical features associated with cage effects in dynamically heterogeneous fluids. To this purpose, we extend the standard Lattice Boltzmann dynamics with self-consistent constraints based on the non-local density of the surrounding fluid. The resulting dynamics exhibits typical features of dynamic heterogeneous fluids, such as non-Gaussian density distributions and long-time relaxation. Due to its intrinsically parallel dynamics, and absence of statistical noise, the method is expected to compute significantly faster than molecular dynamics, Monte Carlo and lattice glass models.Comment: 4 pages, 3 figures, to appear in Phys. Rev. Let

Application of OCT to examination of easel paintings

We present results of applying low coherence interferometry to gallery paintings. Infrared low coherence interferometry is capable of non-destructive examination of paintings in 3D, which shows not only the structure of the varnish layer but also the paint layers

Comportamiento mecánico de mezclas de escoria vítrea de horno alto y metacaolín activadas alcalinamente. Estudio estadístico.

El proceso de fabricación de cemento Pórtland está asociado a un elevado consumo energético (térmico y eléctrico) y a aspectos medioambientales negativos. La industria cementera es una industria altamente contaminante, debido, en gran medida, a las elevadas cantidades de materias primas necesarias para la fabricación del crudo de cemento (explotación de canteras) y a la emisión a la atmósfera de gases (N2, CO2, O2, H2O, NOx y SO2) y partículas. Algunos de estos gases son causantes del efecto invernadero. El CO2 es el gas con mayor impacto medioambiental; siendo la industria cementera la responsable del 7% de las emisiones antropogénicas globales de CO2 a nivel mundial. Es por ello, que el estudio y desarrollo de cementos alternativos y más eco-eficientes que el cemento Portland, es un tema de gran impacto a nivel científico y tecnológico. Entre esos posibles cementos se encuentran los cementos alcalinos que son materiales conglomerantes obtenidos por la interacción química de materiales silicoaluminosos cálcicos y disoluciones fuertemente alcalinas. Diferentes materiales pueden ser susceptibles de activarse alcalinamente, entre ellos se encuentran las escorias vítreas de horno alto, las cenizas volantes y arcillas térmicamente activadas (Ej. metacaolín). En el presente trabajo de investigación se estudia el comportamiento mecánico de mezclas de escoria vítrea de horno alto y metacaolín activadas alcalinamente con disoluciones de NaOH. El objetivo de este estudio es conocer como afectan parámetros tales como la relación escoria/metacaolín, concentración de la disolución activadora, temperatura y tiempo de curado sobre el desarrollo resistente de las mezclas. A través del estudio estadístico realizado se ha podido establecer la influencia de cada variable y modelizar el comportamiento resistente de estos cementos alcalino

Low prevalence of circulating anti-type 6 human herpes virus IgG-antibodies in Spanish children

The prevalence of circulating anti-HHV-6 IgG-antibodies in an infant population, was investigated to assess the evolution of antibody titres from birth to adulthood. Endpoint titration was done by indirect immunofluorescence, in 525 samples of serum from children, healthy adults and pregnant women. In the children, seropositivity increased from the age of 6 months, and was highest (56.52%) between 7 months and 1 year, suggesting that the initial infection occurred between 6 and 12 months of age

Identifying Topics in Social Media Posts using DBpedia

This paper describes a method for identifying topics in text published in social media, by applying topic recognition techniques that exploit DBpedia. We evaluate such method for social media in Spanish and we provide the results of the evaluation performed

Equilibrium profiles of liquids in tilted Taylor-Hauksbee cells

In this work we study theoretically and experimentally the equilibrium profiles attained under spontaneous capillary rise of viscous liquids in the wedge-shaped narrow gap between two vertical plates intersecting at a tight angle α<<1. We contrast the differences among the case with vertical edge and those in which the arista is tilted to the vertical. Our theoretical description agrees well with experimental data for several analyzed inclinations

Should We Learn Probabilistic Models for Model Checking? A New Approach and An Empirical Study

Many automated system analysis techniques (e.g., model checking, model-based testing) rely on first obtaining a model of the system under analysis. System modeling is often done manually, which is often considered as a hindrance to adopt model-based system analysis and development techniques. To overcome this problem, researchers have proposed to automatically "learn" models based on sample system executions and shown that the learned models can be useful sometimes. There are however many questions to be answered. For instance, how much shall we generalize from the observed samples and how fast would learning converge? Or, would the analysis result based on the learned model be more accurate than the estimation we could have obtained by sampling many system executions within the same amount of time? In this work, we investigate existing algorithms for learning probabilistic models for model checking, propose an evolution-based approach for better controlling the degree of generalization and conduct an empirical study in order to answer the questions. One of our findings is that the effectiveness of learning may sometimes be limited.Comment: 15 pages, plus 2 reference pages, accepted by FASE 2017 in ETAP