Isotropic finite volume discretization

Finite volume methods traditionally employ dimension by dimension extension of the one-dimensional reconstruction and averaging procedures to achieve spatial discretization of the governing partial differential equations on a structured Cartesian mesh in multiple dimensions. This simple approach based on tensor product stencils introduces an undesirable grid orientation dependence in the computed solution. The resulting anisotropic errors lead to a disparity in the calculations that is most prominent between directions parallel and diagonal to the grid lines. In this work we develop isotropic finite volume discretization schemes which minimize such grid orientation effects in multidimensional calculations by eliminating the directional bias in the lowest order term in the truncation error. Explicit isotropic expressions that relate the cell face averaged line and surface integrals of a function and its derivatives to the given cell area and volume averages are derived in two and three dimensions, respectively. It is found that a family of isotropic approximations with a free parameter can be derived by combining isotropic schemes based on next-nearest and next-next-nearest neighbors in three dimensions. Use of these isotropic expressions alone in a standard finite volume framework, however, is found to be insufficient in enforcing rotational invariance when the flux vector is nonlinear and/or spatially non-uniform. The rotationally invariant terms which lead to a loss of isotropy in such cases are explicitly identified and recast in a differential form. Various forms of flux correction terms which allow for a full recovery of rotational invariance in the lowest order truncation error terms, while preserving the formal order of accuracy and discrete conservation of the original finite volume method, are developed. Numerical tests in two and three dimensions attest the superior directional attributes of the proposed isotropic finite volume method. Prominent anisotropic errors, such as spurious asymmetric distortions on a circular reaction-diffusion wave that feature in the conventional finite volume implementation are effectively suppressed through isotropic finite volume discretization. Furthermore, for a given spatial resolution, a striking improvement in the prediction of kinetic energy decay rate corresponding to a general two-dimensional incompressible flow field is observed with the use of an isotropic finite volume method instead of the conventional discretization. (C) 2014 Elsevier Inc. All rights reserved.

Nonlinear preconditioning for efficient and accurate interface capturing in simulation of multicomponent compressible flows

Single fluid schemes that rely on an interface function for phase identification in multicomponent compressible flows are widely used to study hydrodynamic flow phenomena in several diverse applications. Simulations based on standard numerical implementation of these schemes suffer from an artificial increase in the width of the interface function owing to the numerical dissipation introduced by an upwind discretization of the governing equations. In addition, monotonicity requirements which ensure that the sharp interface function remains bounded at all times necessitate use of low-order accurate discretization strategies. This results in a significant reduction in accuracy along with a loss of intricate flow features. In this paper we develop a nonlinear transformation based interface capturing method which achieves superior accuracy without compromising the simplicity, computational efficiency and robustness of the original flow solver. A nonlinear map from the signed distance function to the sigmoid type interface function is used to effectively couple a standard single fluid shock and interface capturing scheme with a high-order accurate constrained level set reinitialization method in a way that allows for oscillation-free transport of the sharp material interface. Imposition of a maximum principle, which ensures that the multidimensional preconditioned interface capturing method does not produce new maxima or minima even in the extreme events of interface merger or breakup, allows for an explicit determination of the interface thickness in terms of the grid spacing. A narrow band method is formulated in order to localize computations pertinent to the preconditioned interface capturing method. Numerical tests in one dimension reveal a significant improvement in accuracy and convergence; in stark contrast to the conventional scheme, the proposed method retains its accuracy and convergence characteristics in a shifted reference frame. Results from the test cases in two dimensions show that the nonlinear transformation based interface capturing method outperforms both the conventional method and an interface capturing method without nonlinear transformation in resolving intricate flow features such as sheet jetting in the shock-induced cavity collapse. The ability of the proposed method in accounting for the gravitational and surface tension forces besides compressibility is demonstrated through a model fully three-dimensional problem concerning droplet splash and formation of a crownlike feature. (C) 2014 Elsevier Inc. All rights reserved.

Raman Spectroscopic Studies on Screening of Myopathies

Myopathies are among the major causes of mortality in the world. There is no complete cure for this heterogeneous group of diseases, but a sensitive, specific, and fast diagnostic tool may improve therapy effectiveness. In this study, Raman spectroscopy is applied to discriminate between muscle mutants in Drosophila on the basis of associated changes at the molecular level. Raman spectra were collected from indirect flight muscles of mutants, upheld1 (up1), heldup(2) (hdp(2)), myosin heavy chain7 (Mhc7), actin88F(KM88) (Act88F(KM88)), upheld101 (up101), and Canton-S (CS) control group, for both 2 and 12 days old flies. Difference spectra (mutant minus control) of all the mutants showed an increase in nucleic acid and beta-sheet and/or random coil protein content along with a decrease in a-helix protein. Interestingly, the 12th day samples of up1 and Act88F(KM88) showed significantly higher levels of glycogen and carotenoids than CS. A principal components based linear discriminant analysis classification model was developed based on multidimensional Raman spectra, which classified the mutants according to their pathophysiology and yielded an overall accuracy of 97% and 93% for 2 and 12 days old flies, respectively. The up1 and Act88F(KM88) (nemaline-myopathy) mutants form a group that is clearly separated in a linear discriminant plane from up101 and hdp2 (cardiomyopathy) mutants. Notably, Raman spectra from a human sample with nemaline-myopathy formed a cluster with the corresponding Drosophila mutant (up1). In conclusion, this is the first demonstration in which myopathies, despite their heterogeneity, were screened on the basis of biochemical differences using Raman spectroscopy.

Nonlinear constraints on gravity from entanglement

Using the positivity of relative entropy arising from the Ryu-Takayanagi formula for spherical entangling surfaces, we obtain constraints at the nonlinear level for the gravitational dual. We calculate the Green's function necessary to compute the first order correction to the entangling surface and use this to find the relative entropy for non-constant stress tensors in a derivative expansion. We show that the Einstein value satisfies the positivity condition, while the multidimensional parameter space away from it gets constrained.

Benchmarking sustainability of Indian electricity system: An indicator approach

India needs to significantly increase its electricity consumption levels, in a sustainable manner, if it has to ensure rapid economic development, a goal that remains the most potent tool for delivering adaptation capacity to its poor who will suffer the worst consequences of climate change. Resource/supply constraints faced by conventional energy sources, techno-economic constraints faced by renewable energy sources, and the bounds imposed by climate change on fossil fuel use are likely to undermine India's quest for having a robust electricity system that can effectively contribute to achieving accelerated, sustainable and inclusive economic growth. One possible way out could be transitioning into a sustainable electricity system, which is a trade-off solution having taken into account the economic, social and environmental concerns. As a first step toward understanding this transition, we contribute an indicator based hierarchical multidimensional framework as an analytical tool for sustainability assessment of electricity systems, and validate it for India's national electricity system. We evaluate Indian electricity system using this framework by comparing it with a hypothetical benchmark sustainable electrical system, which was created using best indicator values realized across national electricity systems in the world. This framework, we believe, can be used to examine the social, economic and environmental implications of the current Indian electricity system as well as setting targets for future development. The analysis with the indicator framework provides a deeper understanding of the system, identify and quantify the prevailing sustainability gaps and generate specific targets for interventions. We use this framework to compute national electricity system sustainability index (NESSI) for India. (C) 2014 Elsevier Ltd. All rights reserved.

Ultrathin Au nanowires supported on rGO/TiO2 as an efficient photoelectrocatalyst

We report the synthesis of stable rGO/TiO2/Au nanowire hybrids showing excellent electrocatalytic activity for ethanol oxidation. Phase-pure anatase TiO2 nanoparticles (similar to 3 nm) were grown on GO sheets followed by the growth of ultrathin Au nanowires leading to the formation of a multidimensional ternary structure (0-D TiO2 and 1-D Au on 2-D graphene oxide). The oleylamine used for the synthesis of the Au nanowires not only leads to stable Au nanowires anchored on the GO sheets but also leads to the functionalization and room temperature reduction of GO. Using control experiments, we delineate the role of the three components in the hybrid and show that there is a significant synergy. We show that the catalytic activity for ethanol oxidation primarily stems from the Au nanowires. While TiO2 triggers the formation of oxygenated species on the Au nanowire surface at a lower potential and also imparts photoactivity, rGO provides a conducting support to minimize the charge transfer resistance in addition to stabilizing the Au nanowires. Compared with nanoparticle hybrids, the nanowire hybrids display a much better electrocatalytic performance. In addition to high efficiency, the nanowire hybrids also show a remarkable tolerance towards H2O2. While our study has a direct bearing on fuel cell technology, the insights gained are sufficiently general such that they provide guiding principles for the development of multifunctional ternary hybrids.

Real-time maximum a-posteriori image reconstruction for fluorescence microscopy

Rapid reconstruction of multidimensional image is crucial for enabling real-time 3D fluorescence imaging. This becomes a key factor for imaging rapidly occurring events in the cellular environment. To facilitate real-time imaging, we have developed a graphics processing unit (GPU) based real-time maximum a-posteriori (MAP) image reconstruction system. The parallel processing capability of GPU device that consists of a large number of tiny processing cores and the adaptability of image reconstruction algorithm to parallel processing (that employ multiple independent computing modules called threads) results in high temporal resolution. Moreover, the proposed quadratic potential based MAP algorithm effectively deconvolves the images as well as suppresses the noise. The multi-node multi-threaded GPU and the Compute Unified Device Architecture (CUDA) efficiently execute the iterative image reconstruction algorithm that is similar to 200-fold faster (for large dataset) when compared to existing CPU based systems. (C) 2015 Author(s). All article content, except where otherwise noted, is licensed under a Creative Commons Attribution 3.0 Unported License.

Low Resolution Face Recognition Across Variations in Pose and Illumination

We propose a completely automatic approach for recognizing low resolution face images captured in uncontrolled environment. The approach uses multidimensional scaling to learn a common transformation matrix for the entire face which simultaneously transforms the facial features of the low resolution and the high resolution training images such that the distance between them approximates the distance had both the images been captured under the same controlled imaging conditions. Stereo matching cost is used to obtain the similarity of two images in the transformed space. Though this gives very good recognition performance, the time taken for computing the stereo matching cost is significant. To overcome this limitation, we propose a reference-based approach in which each face image is represented by its stereo matching cost from a few reference images. Experimental evaluation on the real world challenging databases and comparison with the state-of-the-art super-resolution, classifier based and cross modal synthesis techniques show the effectiveness of the proposed algorithm.

Population of nonnative states of lysozyme variants drives amyloid fibril formation.

The propensity of protein molecules to self-assemble into highly ordered, fibrillar aggregates lies at the heart of understanding many disorders ranging from Alzheimer's disease to systemic lysozyme amyloidosis. In this paper we use highly accurate kinetic measurements of amyloid fibril growth in combination with spectroscopic tools to quantify the effect of modifications in solution conditions and in the amino acid sequence of human lysozyme on its propensity to form amyloid fibrils under acidic conditions. We elucidate and quantify the correlation between the rate of amyloid growth and the population of nonnative states, and we show that changes in amyloidogenicity are almost entirely due to alterations in the stability of the native state, while other regions of the global free-energy surface remain largely unmodified. These results provide insight into the complex dynamics of a macromolecule on a multidimensional energy landscape and point the way for a better understanding of amyloid diseases.

Personalidad y bienestar psicológico : un estudio en universitarios chilenos

Resumen: El presente estudio, de tipo descriptivo-correlacional por encuesta, tuvo como propósito examinar la relación entre el modelo multidimensional de bienestar psicológico de Ryff y el modelo de los cinco factores de personalidad en estudiantes universitarios. Para ello se aplicaron las Escalas de Bienestar Psicológico y el Inventario de los Cinco Grandes a 315 estudiantes de pregrado de la Universidad de Concepción (Chile). Los resultados mostraron que, tal como se predecía, el bienestar psicológico y sus dimensiones se relacionaron de forma inversa con el Neuroticismo y de forma directa con los restantes factores de personalidad, y que los factores de Responsabilidad y Neuroticismo eran los que tenían mayor influencia en el bienestar psicológico. También se encontraron diferencias a favor de las mujeres en Neuroticismo, Amabilidad y Responsabilidad.

Escala de Creencias Post-Críticas : análisis psicométrico para su aplicación al estudio de la religiosidad en Argentina

Resumen: Se analizan las propiedades psicométricas de la escala de creencias post-críticas (PCBS) en una muestra de 410 ciudadanos de 18 a 55 años de Córdoba/Argentina, seleccionados a partir de un muestreo no aleatorio. La escala fue traducida para el contexto local. A partir del uso complementario de Escalamiento Multidimensional y Análisis Factorial de componentes principales, se replican las dos dimensiones constitutivas de la PCBS (inclusión-exclusión en la trascendencia e interpretación literal-simbólica de los contenidos religiosos) y las cuatro sub-escalas propuestas: Crítica Externa, Segunda Ingenuidad, Ortodoxia, y Relativismo. El estudio reporta los índices de fiabilidad y la validez externa para cada una de éstas, y se discuten cuestiones operativas y conceptuales de su adecuación en Argentina.

Los dominios social y personal del autoconcepto

[Es] El estudio del autoconcepto continúa siendo uno de los grandes retos de la investigación psicológica. Se trata de un campo de investigación muy amplio en el que tanto la dimensión física como la académica han sido objeto de numerosas investigaciones; por el contrario son pocas las investigaciones llevadas a cabo tanto sobre el autoconcepto social como sobre el autoconcepto personal. En este trabajo se informa de dos estudios llevados a cabo con el fin de verificar si los análisis factoriales confirman una estructura multidimensional de tres componentes en el caso del social (la responsabilidad social, la aceptación social y la competencia social) y de cuatro componentes en la del personal: la autorrealización, la honradez, la autonomía, y el ajuste emocional. Los resultados obtenidos a partir de la aplicación de dos cuestionarios elaborados específicamente para medir ambos dominios (APE y AUSO) confirman en buena medida esta estructura; los factores identificados explican un 52,56% y un 41,43%, respectivamente, de la varianza. Por otro lado, los índices de consistencia interna son aceptables en ambos casos: alpha 0.85 en el APE y alpha 0.76 en el AUSO. Se proponen algunos cambios a incorporar en la versión definitiva de ambos cuestionarios.

Turismo rural como estrategia de diversificación: factores determinantes y resultados en Galicia

[ES] Los determinantes y los resultados de la estrategia de diversificación se han abordado frecuentemente en la literatura. Son sin embargo pocos los estudios que analizan la diversificación en sectores concretos donde el impulso para diversificar no es estrictamente económico, sino político o social. La diversificación de la actividad agrícola hacia el turismo en Galicia es un claro ejemplo de este fenómeno. El objetivo de este trabajo es determinar cuales son los factores que motivan a titulares de explotaciones agrarias gallegas a iniciar una estrategia de diversificación hacia el turismo, así como las dimensiones de los resultados empresariales relevantes para dichos propietarios. Los resultados del análisis sobre una muestra representativa de los establecimientos de turismo rural de Galicia indican la multidimensionalidad y heterogeneidad de los constructos analizados. Las motivaciones sociales adquieren gran protagonismo, del mismo modo que las medidas subjetivas de resultado empresarial relacionadas con la mejora del entorno y la orientación al cliente.

El salto a los tres años en psicomotricidad : observación del comportamiento psicomotor infantil

[ES] El objetivo de esta investigación es evaluar la actividad de saltar de un grupo escolar natural de 15 criaturas entre los dos y los cuatro años en el contexto de la Práctica Psicomotriz Aucouturier. La perspectiva teórica adoptada ha sido la teoría psicogenética y dialéctica de Henri Wallon. Según ésta, saltar es un automatismo natural regulado por el aparato funcional del equilibrio que se aprende en la primera infancia. La metodología utilizada ha sido la observacional. El diseño es nomotético, de seguimiento y multidimensional, y el instrumento de observación es el formato de campo "el salto en psicomotricidad durante el tercer año de vida". Los resultados, obtenidos mediante la aplicación prospectiva del análisis secuencial de retardos, informan sobre la adquisición del automatismo o proceso de aprendizaje, sobre el contenido del mismo o manejo del vértigo y sobre su resultante conjunta o tipos básicos de salto en psicomotricidad, sus características y su evolución.

Pautas de conducta constructiva en psicomotricidad a los dos años

[Es]Este trabajo forma parte de una investigación empírica que aplica la metodología observacional a la incipiente actividad constructiva propia de la psicomotricidad espontánea a los dos años de edad. Es un estudio idiográfico, el diseño observacional utilizado es nomotético, de seguimiento y multidimensional. El instrumento de observación desarrollado ad hoc para el registro de la conducta conscontructiva es el formato de campo “la construcción en psicomotricidad durante el tercer año de vida”. La fiabilidad del instrumento se establece a partir del grado de concordancia entre los observadores. Los resultados, obtenidos mediante el análisis de coocurrencias, informan sobre las condiciones, modalidades, tendencias, evolución y niveles de acción que estas primeras conductas constructivas despliegan. Esta actividad de construcción, de acuerdo con la teoría psicogenética walloniana, puede ser considerada invención de nuevas conductas adecuadas a las nuevas situaciones. Su suspensión da lugar a símbolos enactivos, precursores del juego simbólico infantil.