919 resultados para Analytic Reproducing Kernel
Resumo:
A Menorca la tortuga mediterrànea Testudo hermanni és una espècie comuna que es distribueix per quasi tota l'illa. Els estudis anteriors sobre la seva distribució van ser realitzats entre els anys 1970 i 1994. Entre 2003 i 2006 es va prospectar la major part de Menorca amb la finalitat de determinar-ne la distribució actual. A partir de 3647 observacions d'exemplars, se'n va seleccionar aleatòriament una per quadrícula UTM de 0,5 x 0,5 km prospectada. Mitjançant una anàlisi kernel es va calcular que la seva distribució ocupava una superfície de 469 km2 (incloent-hi hàbitats no emprats per les tortugues, com ara zones urbanes o algunes zones boscoses). Aquesta distribució no és continua al llarg de l'illa, sinó que es formada per una sèrie de poblacions més o menys fragmentades i aïllades. D'altra banda, la distribució obtinguda coincideix amb la senyalada en treballs anteriors, la qual cosa s'interpreta com que no hi ha hagut canvis importants en la seva ocupació en els últims deu anys.
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La herramienta de monitorización de clusters MoniTo debe estar preparada ante los constantes cambios en el kernel de Linux que la pudieran dejar inutilizable. Para evitarlo se ha modificado su implementación utilizando librerías Libgtop. También se ha modificado su interfaz web para adaptarla a los nuevos tiempos, optimizar su funcionamiento y dotarla de nuevas posibilidades.
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Dissenyar i implementar un planificador en l'espai d'usuari basant-se en la tècnica de coscheduling, en concret s'utilitzarà coscheduling predictive. L'objectiu és intentar obtenir un rendiment similar al que es va assolir en implementacions de la mateixa tècnica realitzada en l'espai de kernel.
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The front speed of the Neolithic (farmer) spread in Europe decreased as it reached Northern latitudes, where the Mesolithic (huntergatherer) population density was higher. Here, we describe a reaction diffusion model with (i) an anisotropic dispersion kernel depending on the Mesolithicpopulation density gradient and (ii) a modified population growth equation. Both effects are related to the space available for the Neolithic population. The model is able to explain the slowdown of the Neolithic front as observed from archaeological data
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Most integrodifference models of biological invasions are based on the nonoverlapping-generations approximation. However, the effect of multiple reproduction events overlapping generations on the front speed can be very important especially for species with a long life spam . Only in one-dimensional space has this approximation been relaxed previously, although almost all biological invasions take place in two dimensions. Here we present a model that takes into account the overlapping generations effect or, more generally, the stage structure of the population , and we analyze the main differences with the corresponding nonoverlappinggenerations results
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The front speed problem for nonuniform reaction rate and diffusion coefficient is studied by using singular perturbation analysis, the geometric approach of Hamilton-Jacobi dynamics, and the local speed approach. Exact and perturbed expressions for the front speed are obtained in the limit of large times. For linear and fractal heterogeneities, the analytic results have been compared with numerical results exhibiting a good agreement. Finally we reach a general expression for the speed of the front in the case of smooth and weak heterogeneities
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An analytic method to evaluate nuclear contributions to electrical properties of polyatomic molecules is presented. Such contributions control changes induced by an electric field on equilibrium geometry (nuclear relaxation contribution) and vibrational motion (vibrational contribution) of a molecular system. Expressions to compute the nuclear contributions have been derived from a power series expansion of the potential energy. These contributions to the electrical properties are given in terms of energy derivatives with respect to normal coordinates, electric field intensity or both. Only one calculation of such derivatives at the field-free equilibrium geometry is required. To show the useful efficiency of the analytical evaluation of electrical properties (the so-called AEEP method), results for calculations on water and pyridine at the SCF/TZ2P and the MP2/TZ2P levels of theory are reported. The results obtained are compared with previous theoretical calculations and with experimental values
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Bimodal dispersal probability distributions with characteristic distances differing by several orders of magnitude have been derived and favorably compared to observations by Nathan [Nature (London) 418, 409 (2002)]. For such bimodal kernels, we show that two-dimensional molecular dynamics computer simulations are unable to yield accurate front speeds. Analytically, the usual continuous-space random walks (CSRWs) are applied to two dimensions. We also introduce discrete-space random walks and use them to check the CSRW results (because of the inefficiency of the numerical simulations). The physical results reported are shown to predict front speeds high enough to possibly explain Reid's paradox of rapid tree migration. We also show that, for a time-ordered evolution equation, fronts are always slower in two dimensions than in one dimension and that this difference is important both for unimodal and for bimodal kernels
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The analysis of multi-modal and multi-sensor images is nowadays of paramount importance for Earth Observation (EO) applications. There exist a variety of methods that aim at fusing the different sources of information to obtain a compact representation of such datasets. However, for change detection existing methods are often unable to deal with heterogeneous image sources and very few consider possible nonlinearities in the data. Additionally, the availability of labeled information is very limited in change detection applications. For these reasons, we present the use of a semi-supervised kernel-based feature extraction technique. It incorporates a manifold regularization accounting for the geometric distribution and jointly addressing the small sample problem. An exhaustive example using Landsat 5 data illustrates the potential of the method for multi-sensor change detection.
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Des del segon quart del s. I aC i, especialment, durant el regnat d’August, es va desenvolupar a l’antiga província Tarraconensis un sistema productiu centrat en l’explotació agrària vitivinícola amb una finalitat clarament comercial. La majoria d’assentament vitivinícoles es troben emplaçats al litoral català, associats de vegades a figlinae que fabricaven les àmfores per al transport i comerç de l’excedent vinícola. No obstant, a l’àrea del Vallès Occidental i del Baix Llobregat es troben una sèrie de vil•les vinculades a la producció de vi i a la fabricació d’àmfores que han proporcionat restes molt significatives sobre la contribució d’aquesta zona a l’expansió econòmica de la província. La caracterització arqueològica i arqueomètrica d’un gran nombre d’àmfores procedents de diversos tallers ceràmics situats al Vallès Occidental i al Baix Llobregat, utilitzant diverses tècniques d’anàlisi química, mineralògica i petrogràfica, ha portat a establir quins tipus d’àmfores es van fabricar a cada taller i de quina manera. S’han identificat alguns dels processos tecnològics de la cadena operativa: la selecció i processat de les matèries primeres per conformar la pasta procedents, generalment, de l’àrea on es troba cada centre de producció, el modelatge, l’assecat i la cocció de les peces. En alguns dels casos analitzats, s’ha identificat quins tipus de contenidors van ser importants a l’establiment i la seva provinença. La integració d’aquests resultats en la base de dades analítica que disposa l’ERAAUB ha permès avaluar el grau d’estandardització dels processos tecnològics en aquesta àrea. La contrastació final amb les dades històriques i arqueològiques contribueix al coneixement arqueològic de les àmfores vinàries de la Tarraconensis i, a través d’elles, al coneixement de les societats que les van fabricar, comercialitzar i utilitzar.
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The energy requirements of reproducing and non-reproducing females of three species of Crocidura (C. russula, C. viaria, C. olivieri), and two species of Sorex (S. coronatus, S. minutus) were measured. Members of these two genera show different rates of metabolism and reproductive strategies (extreme altriciality and larger litter size in Sorex). During pregnancy, the daily energy intake (on either an absolute or a mass-specific basis) remained close to the non-reproductive value in all species. The absolute energy intake increased strongly after parturition and was influenced by the litter size. Peak energy intake of lactating females was extremely high, typically between 100% and 200% above the non-reproductive requirements in the Crocidura and about 300% above the non-reproductive intake in the Sorex. The mass-specific daily energy intake was reduced during lactation in the three smaller species but not in C. viaria and C. olivieri. This decrease probably involves the different thermoregulatory abilities and/or basal rate of metabolism of the pups. Average reproductive effort was about 50%, in the Crocidura species and above 150% in the Sorex species. The higher effort in the latter is partly due to a larger litter size. But in addition, extreme altriciality in the Sorex leads to an earlier increase in the energy requirements and thus is an energetically more expensive reproductive mode. The present results support the hypothesis that a higher basal rate of metabolism is associated with a higher reproductive effort in shrews.
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Background: We present the results of EGASP, a community experiment to assess the state-ofthe-art in genome annotation within the ENCODE regions, which span 1% of the human genomesequence. The experiment had two major goals: the assessment of the accuracy of computationalmethods to predict protein coding genes; and the overall assessment of the completeness of thecurrent human genome annotations as represented in the ENCODE regions. For thecomputational prediction assessment, eighteen groups contributed gene predictions. Weevaluated these submissions against each other based on a ‘reference set’ of annotationsgenerated as part of the GENCODE project. These annotations were not available to theprediction groups prior to the submission deadline, so that their predictions were blind and anexternal advisory committee could perform a fair assessment.Results: The best methods had at least one gene transcript correctly predicted for close to 70%of the annotated genes. Nevertheless, the multiple transcript accuracy, taking into accountalternative splicing, reached only approximately 40% to 50% accuracy. At the coding nucleotidelevel, the best programs reached an accuracy of 90% in both sensitivity and specificity. Programsrelying on mRNA and protein sequences were the most accurate in reproducing the manuallycurated annotations. Experimental validation shows that only a very small percentage (3.2%) of the selected 221 computationally predicted exons outside of the existing annotation could beverified.Conclusions: This is the first such experiment in human DNA, and we have followed thestandards established in a similar experiment, GASP1, in Drosophila melanogaster. We believe theresults presented here contribute to the value of ongoing large-scale annotation projects and shouldguide further experimental methods when being scaled up to the entire human genome sequence.
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A number of experimental methods have been reported for estimating the number of genes in a genome, or the closely related coding density of a genome, defined as the fraction of base pairs in codons. Recently, DNA sequence data representative of the genome as a whole have become available for several organisms, making the problem of estimating coding density amenable to sequence analytic methods. Estimates of coding density for a single genome vary widely, so that methods with characterized error bounds have become increasingly desirable. We present a method to estimate the protein coding density in a corpus of DNA sequence data, in which a ‘coding statistic’ is calculated for a large number of windows of the sequence under study, and the distribution of the statistic is decomposed into two normal distributions, assumed to be the distributions of the coding statistic in the coding and noncoding fractions of the sequence windows. The accuracy of the method is evaluated using known data and application is made to the yeast chromosome III sequence and to C.elegans cosmid sequences. It can also be applied to fragmentary data, for example a collection of short sequences determined in the course of STS mapping.
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In this paper we present a description of the role of definitional verbal patterns for the extraction of semantic relations. Several studies show that semantic relations can be extracted from analytic definitions contained in machine-readable dictionaries (MRDs). In addition, definitions found in specialised texts are a good starting point to search for different types of definitions where other semantic relations occur. The extraction of definitional knowledge from specialised corpora represents another interesting approach for the extraction of semantic relations. Here, we present a descriptive analysis of definitional verbal patterns in Spanish and the first steps towards the development of a system for the automatic extraction of definitional knowledge.
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This paper deals with the problem of spatial data mapping. A new method based on wavelet interpolation and geostatistical prediction (kriging) is proposed. The method - wavelet analysis residual kriging (WARK) - is developed in order to assess the problems rising for highly variable data in presence of spatial trends. In these cases stationary prediction models have very limited application. Wavelet analysis is used to model large-scale structures and kriging of the remaining residuals focuses on small-scale peculiarities. WARK is able to model spatial pattern which features multiscale structure. In the present work WARK is applied to the rainfall data and the results of validation are compared with the ones obtained from neural network residual kriging (NNRK). NNRK is also a residual-based method, which uses artificial neural network to model large-scale non-linear trends. The comparison of the results demonstrates the high quality performance of WARK in predicting hot spots, reproducing global statistical characteristics of the distribution and spatial correlation structure.