2,682 research outputs found

    A basis for variational calculations in d dimensions

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    In this paper we derive expressions for matrix elements (\phi_i,H\phi_j) for the Hamiltonian H=-\Delta+\sum_q a(q)r^q in d > 1 dimensions. The basis functions in each angular momentum subspace are of the form phi_i(r)=r^{i+1+(t-d)/2}e^{-r^p/2}, i >= 0, p > 0, t > 0. The matrix elements are given in terms of the Gamma function for all d. The significance of the parameters t and p and scale s are discussed. Applications to a variety of potentials are presented, including potentials with singular repulsive terms of the form b/r^a, a,b > 0, perturbed Coulomb potentials -D/r + B r + Ar^2, and potentials with weak repulsive terms, such as -g r^2 + r^4, g > 0.Comment: 22 page

    N-methyl-N-((1-methyl-5-(3-(1-(2-methylbenzyl)piperidin-4-yl)propoxy)-1H-indol-2-yl)methyl)prop-2-yn-1-amine, a new cholinesterase and monoamine oxidase dual inhibitor

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    On the basis of N-((5-(3-(1-benzylpiperidin-4-yl)propoxy)-1-methyl-1H-indol-2-yl)methyl)-N-methylprop-2-yn-1-amine (II, ASS234) and QSAR predictions, in this work we have designed, synthesized, and evaluated a number of new indole derivatives from which we have identified N-methyl-N-((1-methyl-5-(3-(1-(2-methylbenzyl)piperidin-4-yl)propoxy)-1H-indol-2-yl)methyl)prop-2-yn-1-amine (2, MBA236) as a new cholinesterase and monoamine oxidase dual inhibitor.PostprintPostprintPeer reviewe

    Clasificación orientada a objetos en fotografías aéreas digitales para la discriminación de usos del suelo

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    Las técnicas de clasificación tradicionales, basadas en rasgos de la imagen a nivel de píxel, presentan ciertas limitaciones, como lo son la aparición de un característico efecto “sal y pimienta” o su reducida capacidad para extraer objetos de interés. Éstas resultan especialmente problemáticas al aplicarse en imágenes de moderada o alta resolución. Una alternativa a dichos sistemas de clasificación pasa por un proceso previo de segmentación de la imagen. De esta forma se permite el trabajo con la imagen a nivel de objeto, lo cual amplía notablemente la cantidad de información que se puede extraer de la misma. En el presente estudio, el objetivo principal es obtener una clasificación digital de la interfase urbano forestal que pueda ser usada por los servicios contra incendios forestales. Para ello, se ha segmentado y clasificado una imagen aérea digital del sensor DMC, empleando el software eCognition, donde la formación de objetos tiene lugar de forma que la homogeneidad interna se mantiene constante. Los objetos resultantes sirven de base para la posterior clasificación. Se utilizaron fotografías aéreas digitales y datos de 350 parcelas en la provincia de Granada, España, para validar las clasificaciones, consiguiendo una precisión total del 90% y un excelente estadístico Kappa (85%) para la clasificación orientada a objetosTraditional classification techniques, basically pixel-based approaches, are limited. Typically, they produce a characteristic “salt and pepper” effect, and are unable to extract objects of interest. These techniques have considerable difficulties in dealing with the rich information content of medium and high-resolution images. One alternative to these classification systems can be a previous segmentation of the image to be classified. In this way, object-based classification can be performed so that a significant increase on the information that can be extracted is obtained. In the present work, the aim is to obtain a digital classification of wilderness-urban interface areas that can be used by fire management services. To this end, a digital aerial image provided by the DMC sensor was segmented and classified using eCognition software, which allows homogeneous image object extraction. The meaningful image objects obtained were then used for the classification. Segmentation before classification worked out as an efficient image analysis technique, overcoming traditional approaches limitations. Digital aerial photographs and data of 350 plots in Granada, Spain, were used to validate the classifications obtained; the overall classification accuracy of 90% and an excellent Kappa statistic (85%) for the object-based classification, proved the validity of this metho

    Algorithms of expert classification applied in quickbird satellite images for land use mapping

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    The objective of this paper was the development of a methodology for the classification of digital aerial images, which, with the aid of object-based classification and the Normalized Difference Vegetation Index (NDVI), can quantify agricultural areas, by using algorithms of expert classification, with the aim of improving the final results of thematic classifications. QuickBird satellite images and data of 2532 plots in Hinojosa del Duque, Spain, were used to validate the different classifications, obtaining an overall classification accuracy of 91.9% and an excellent Kappa statistic (87.6%) for the algorithm of expert classificatio

    Biocalcarenites as construction materials in Santa Marina de Aguas Santas Church at Cordoba, Spain

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    Para la caracterización litológica y determinación del grado de alteración de los materiales pétreos se han empleado las siguientes técnicas: difracción de rayos X (método del polvo), microscopía petrográfica (sobre lámina delgada) y microscopía de barrido con EDS (energía dispersiva de rayos X), para determinar la composición química. El estado de degradación del material pétreo se ha cuantificado a partir del índice químico de alteración (CIW). Se han realizado cartografías sobre la fachada oeste: a) de las litologías presentes y b) de los diferentes tipos de alteración observados. La comparación de muestras del edificio con las de antiguas canteras ha permitido identificar la del Naranjo como la posible cantera de origen.This study consisted in characterizing the materials used to build Santa Marina de Aguas Santas Church at Cordoba and locating the original quarries. The techniques used in the lithological and chemical characterization included XRD, petrographic microscopy and electron dispersive scanning microscopy. The chemical index of weathering (CIW) was used to quantify the state of stone decay. The lithology and different types of alterations observed were mapped. A comparison of the material on the building to ancient quarries identified “Naranjo” as the possible site where the stone was originally quarried

    Redefinition of Heptapterus (Heptapteridae) and description of Heptapterus carmelitanorum, a new species from the upper Paraná River basin in Brazil

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    A new diagnosis and a new classification of Heptapterus are provided and a new species, H. carmelitanorum, is described. Heptapterus is diagnosed by the following character combination: adipose fin confluent with the caudal fin; non-bifurcate caudal fin; anal-fin insertion posterior to vertical through adipose-fin insertion; 10–23 anal-fin rays; anal fin not confluent with caudal fin; and extremely elongate body, with a head length of 16.1–24.9%SL. Species included in Heptapterus are H. borodini, H. carmelitanorum, H. carnatus, H. exilis, H. hollandi, H. mandimbusu, H. mbya, H. mustelinus, H. ornaticeps, and H. qenqo. Some of the character states diagnosing H. carmelitanorum among its congeners are the anal-fin insertion less than one eye diameter posterior to a vertical through the adipose-fin insertion (vs. more than one eye diameter in all congeners); the isognathous mouth (vs. slightly to moderately retrognathous, except H. borodini); and the keel formed by ventral procurrent caudal-fin rays shallow, far from reaching anal-fin base (vs. keel formed by ventral procurrent caudal-fin rays deep, continuing almost to the anal-fin base, except in H. borodini and H. hollandi).Fil: de Carvalho Deprá, Gabriel. Universidade Estadual de Maringá; BrasilFil: Aguilera, Gaston. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico - Tucumán. Unidad Ejecutora Lillo; Argentina. Fundación Miguel Lillo; ArgentinaFil: Faustino Fuster, Dario R.. Universidade Federal do Rio Grande do Sul; Brasil. Universidad Nacional Mayor de San Marcos; Perú. Universidad Nacional Autónoma de Huanta; PerúFil: Katz, Axel M.. Universidade Federal do Rio de Janeiro; BrasilFil: Azevedo Santos, Valter M.. Faculdade Eduvale de Avaré; Brasil. Universidade Federal do Pará; Brasil. Universidade Federal Do Tocantins; Brasi
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