Equidistribution estimates for Fekete points on complex manifolds

We study the equidistribution of Fekete points in a compact complex manifold. These are extremal point configurations defined through sections of powers of a positive line bundle. Their equidistribution is a known result. The novelty of our approach is that we relate them to the problem of sampling and interpolation on line bundles, which allows us to estimate the equidistribution of the Fekete points quantitatively. In particular we estimate the Kantorovich-Wasserstein distance of the Fekete points to its limiting measure. The sampling and interpolation arrays on line bundles are a subject of independent interest, and we provide necessary density conditions through the classical approach of Landau, that in this context measures the local dimension of the space of sections of the line bundle. We obtain a complete geometric characterization of sampling and interpolation arrays in the case of compact manifolds of dimension one, and we prove that there are no arrays of both sampling and interpolation in the more general setting of semipositive line bundles.

Fronts from complex two-dimensional dispersal kernels: theory and application to Reid's paradox

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

A short motif in Drosophila SECIS Binding Protein 2 provides differential binding affinity to SECIS RNA hairpins

Selenoproteins contain the amino acid selenocysteine which is encoded by a UGA Sec codon. Recoding UGA Sec requires a complex mechanism, comprising the cis-acting SECIS RNA hairpin in the 3′UTR of selenoprotein mRNAs, and trans-acting factors. Among these, the SECIS Binding Protein 2 (SBP2) is central to the mechanism. SBP2 has been so far functionally characterized only in rats and humans. In this work, we report the characterization of the Drosophila melanogaster SBP2 (dSBP2). Despite its shorter length, it retained the same selenoprotein synthesis-promoting capabilities as the mammalian counterpart. However, a major difference resides in the SECIS recognition pattern: while human SBP2 (hSBP2) binds the distinct form 1 and 2 SECIS RNAs with similar affinities, dSBP2 exhibits high affinity toward form 2 only. In addition, we report the identification of a K (lysine)-rich domain in all SBP2s, essential for SECIS and 60S ribosomal subunit binding, differing from the well-characterized L7Ae RNA-binding domain. Swapping only five amino acids between dSBP2 and hSBP2 in the K-rich domain conferred reversed SECIS-binding properties to the proteins, thus unveiling an important sequence for form 1 binding.

@neurIST infrastructure for advanced disease management through integration of heterogeneous data, computing, and complex processing services

The increasing volume of data describing humandisease processes and the growing complexity of understanding, managing, and sharing such data presents a huge challenge for clinicians and medical researchers. This paper presents the@neurIST system, which provides an infrastructure for biomedical research while aiding clinical care, by bringing together heterogeneous data and complex processing and computing services. Although @neurIST targets the investigation and treatment of cerebral aneurysms, the system’s architecture is generic enough that it could be adapted to the treatment of other diseases.Innovations in @neurIST include confining the patient data pertaining to aneurysms inside a single environment that offers cliniciansthe tools to analyze and interpret patient data and make use of knowledge-based guidance in planning their treatment. Medicalresearchers gain access to a critical mass of aneurysm related data due to the system’s ability to federate distributed informationsources. A semantically mediated grid infrastructure ensures that both clinicians and researchers are able to seamlessly access andwork on data that is distributed across multiple sites in a secure way in addition to providing computing resources on demand forperforming computationally intensive simulations for treatment planning and research.

Mutual information of IID complex Gaussian signals on block Rayleigh-faded channels

We present a method to compute, quickly and efficiently, the mutual information achieved by an IID (independent identically distributed) complex Gaussian signal on a block Rayleigh-faded channel without side information at the receiver. The method accommodates both scalar and MIMO (multiple-input multiple-output) settings. Operationally, this mutual information represents the highest spectral efficiency that can be attained using Gaussiancodebooks. Examples are provided that illustrate the loss in spectral efficiency caused by fast fading and how that loss is amplified when multiple transmit antennas are used. These examples are further enriched by comparisons with the channel capacity under perfect channel-state information at the receiver, and with the spectral efficiency attained by pilot-based transmission.

Mutual Information of IID complex Gaussian signals on block Rayleigh-faded channels

We present a method to compute, quickly and efficiently, the mutual information achieved by an IID (independent identically distributed) complex Gaussian signal on a block Rayleigh-faded channel without side information at the receiver. The method accommodates both scalar and MIMO (multiple-input multiple-output) settings. Operationally, this mutual information represents the highest spectral efficiency that can be attained using Gaussiancodebooks. Examples are provided that illustrate the loss in spectral efficiency caused by fast fading and how that loss is amplified when multiple transmit antennas are used. These examples are further enriched by comparisons with the channel capacity under perfect channel-state information at the receiver, and with the spectral efficiency attained by pilot-based transmission.

Noms que formen part d'un determinant complex

Aquest article examina un aspecte de la informació gramatical que inclouen els diccionaris. En concret, analitza el tractament lexicogràfic que els noms que poden formar part d'un determinant complex han rebut en diversos diccionaris. Són noms que, segons els contextos funcionen com a nucli d'un sintagma nominal o com a nucli d'un sintagma determinant. Els resultats d'aquest estudi demostren que la informació gramatical en aquest tipus de noms en la majoria de diccionaris és molt pobre i fins i tot nul·la. Com a alternativa, el treball proposa un primer disseny d'entrada lexicogràfica prototípica per aquest tipus de noms que al costat de la informació semàntica té en compte la informació gramatical i la informació pragmàtica.

La immigració i els efectes en el comportament empresarial: una anàlisi a nivell municipal de Catalunya

En aquest context de canvi econòmic i dels ritmes d’arribada dels fluxos migratoris, aquest treball aborda els efectes de la població immigrant sobre les empreses manufactureres localitzades en ciutats catalanes amb més de 1.000 habitants durant el període 2000-2008. El desenvolupament empíric posa especial èmfasi en la localització d’empreses i la població immigrada així com l’impacte que exerceix sobre el comportament de les empreses. Per tal de recollir les dades hem treballat amb tres bases de dades diferents: dades ofertes per Idescat, INE i Sistema de Anàlisis de Balances Ibéricos. En especial aquesta darrera base ha ofert informació a nivell individual de les empreses el qual ha requerit un procés de depuració complex i exhaustiu a través de programació estadística. En la literatura sobre els impactes econòmics dels immigrants predominen els treballs que han abordat un impacte sobre el mercat de treball, posant especial èmfasis en els diferencials salarials i la reducció de la bretxa salarial en funció del temps de residència dels immigrants. En canvi, en poques ocasions s’ha analitzat l’efecte de la immigració sobre el comportament de l’empresa. L’objectiu d’aquest treball és analitzar l’impacte dels entorns amb població immigrant a les ciutats catalanes i de forma més específica amb el creixement de les empreses locals i l’evolució dels seus nivells d’eficiència. Els objectius concrets que volem analitzar són els següents: i) mostrar les principals conclusions de la literatura ii) observar les pautes de localització d’immigrantsiii) mostrar les pautes de localització de les empreses iv) analitzar si les ciutats catalanes amb una major població immigrant presenten un impacte positiu o negatiu sobre el creixement de les empreses locals i l’evolució dels seus nivells d’eficiència a través d’eines economètriques.