964 resultados para Two-point
Resumo:
L’adénovirus a été étudié dans l’optique de développer de nouveaux traitements pour différentes maladies. Les vecteurs adénoviraux (AdV) sont des outils intéressants du fait qu’ils peuvent être produits en grandes quantités (1X1012 particules par millilitre) et de par leur capacité à infecter des cellules quiescentes ou en division rapide. Les AdVs ont subi bon nombre de modifications pour leur permettre de traiter des cellules tumorales ou pour transporter des séquences génétiques exogènes essentielles pour le traitement de maladies monogéniques. Toutefois, les faibles niveaux d’expression du récepteur primaire de l’adénovirus, le CAR (récepteur à l’adénovirus et au virus coxsackie), réduit grandement l’efficacité de transduction dans plusieurs tumeurs. De plus, certains tissus normaux comme les muscles n’expriment que très peu de CAR, rendant l’utilisation des AdVs moins significative. Pour pallier à cette limitation, plusieurs modifications ont été générées sur les capsides virales. L’objectif de ces modifications était d’augmenter l’affinité des AdVs pour des récepteurs cellulaires spécifiques surexprimés dans les tumeurs et qui seraient exempts dans les tissus sains avoisinant. On peut mentionner dans les approches étudiées: l’utilisation de ligands bispécifiques, l’incorporation de peptides dans différentes régions de la fibre ou la substitution par une fibre de sérotypes différents. Notre hypothèse était que les domaines d’interaction complémentaire (K-Coil et ECoil) permettraient aux ligands de s’associer aux particules virales et d’altérer le tropisme de l’AdV. Pour ce faire, nous avons inclus un domaine d’interaction synthétique, le K-Coil,dans différentes régions de la fibre virale en plus de générer des mutations spécifiques pour abolir le tropisme naturel. Pour permettre la liaison avec les récepteurs d’intérêt dont l’EGF-R, l’IGF-IR et le CEA6, nous avons fusionné le domaine d’interaction complémentaire, le E-Coil, soit dans les ligands des récepteurs ciblés dont l’EGF et l’IGF-I, soit sur un anticorps à un seul domaine reconnaissant la protéine membranaire CEA6, l’AFAI. Suite à la construction des différents ligands de même que des différentes fibres virales modifiées, nous avons determiné tout d’abord que les différents ligands de même que les virus modifiés pouvaient être produits et que les différentes composantes pouvaient interagir ensemble. Les productions virales ont été optimisées par l’utilisation d’un nouveau protocole utilisant l’iodixanol. Ensuite, nous avons démontré que l’association des ligands avec le virus arborant une fibre modifiée pouvait entraîner une augmentation de transduction de 2 à 21 fois dans différentes lignées cellulaires. À cause de la difficulté des adénovirus à infecter les fibres musculaires occasionnée par l’absence du CAR, nous avons cherché à savoir si le changement de tropisme pourrait accroître l’infectivité des AdVs. Nous avons démontré que l’association avec le ligand bispécifique IGF-E5 permettait d’accroître la transduction autant dans les myoblastes que dans les myotubes de souris. Nous avons finalement réussi à démontrer que notre système pouvait induire une augmentation de 1,6 fois de la transduction suite à l’infection des muscles de souriceaux MDX. Ces résultats nous amènent à la conclusion que le système est fonctionnel et qu’il pourrait être évalué dans des AdVs encodant pour différents gènes thérapeutiques.
Resumo:
Support Vector Machines (SVMs) perform pattern recognition between two point classes by finding a decision surface determined by certain points of the training set, termed Support Vectors (SV). This surface, which in some feature space of possibly infinite dimension can be regarded as a hyperplane, is obtained from the solution of a problem of quadratic programming that depends on a regularization parameter. In this paper we study some mathematical properties of support vectors and show that the decision surface can be written as the sum of two orthogonal terms, the first depending only on the margin vectors (which are SVs lying on the margin), the second proportional to the regularization parameter. For almost all values of the parameter, this enables us to predict how the decision surface varies for small parameter changes. In the special but important case of feature space of finite dimension m, we also show that there are at most m+1 margin vectors and observe that m+1 SVs are usually sufficient to fully determine the decision surface. For relatively small m this latter result leads to a consistent reduction of the SV number.
Resumo:
Introducción: El trasplante de mano es una opción en el tratamiento de pacientes amputados. Su recuperación funcional determina, junto con el manejo de la inmunosupresión, el éxito del trasplante. Este estudio buscó identificar y describir los resultados funcionales, sensibilidad y recuperación motora, en pacientes trasplantados. Metodología: Búsqueda sistemática de la literatura incluyendo estudios prospectivos, retrospectivos y reportes de caso en tres bases de datos primarias y una base de datos de revisiones sistemáticas, bajo criterios de búsqueda específicos. Resultados: Once artículos cumplieron con los criterios de inclusión. La discriminación de dos puntos, la estrognosis, el signo de Tinel, la temperatura, el tacto superficial y profundo y el dolor fueron evaluados. Seis pacientes recuperaron los tres últimos durante los primeros 12 meses, tres más lograron discriminación de dos puntos en los pulpejos entre 1.5 y 3 años. De los restantes uno tiene reporte de normalidad a los seis años y en el otro refieren disminución de la sensibilidad protectiva en el mismo plazo. El rango total de movilidad de los dedos sirvió como evaluación de la función motora en cinco pacientes, tres tuvieron reportes por debajo del 50% de lo normal al año del trasplante, el cuarto logró cerca de un 60%, el último fue artodesado. El tiempo mostró ser un factor para la mejoría en la valoración global de la extremidad superior mediante el uso del DASH. Discusión, conclusiones: es necesaria la estadarización y su publicación, de la medición de los resultados funcionales en los pacientes de trasplante de mano.
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The structure of turbulent flow over large roughness consisting of regular arrays of cubical obstacles is investigated numerically under constant pressure gradient conditions. Results are analysed in terms of first- and second-order statistics, by visualization of instantaneous flow fields and by conditional averaging. The accuracy of the simulations is established by detailed comparisons of first- and second-order statistics with wind-tunnel measurements. Coherent structures in the log region are investigated. Structure angles are computed from two-point correlations, and quadrant analysis is performed to determine the relative importance of Q2 and Q4 events (ejections and sweeps) as a function of height above the roughness. Flow visualization shows the existence of low-momentum regions (LMRs) as well as vortical structures throughout the log layer. Filtering techniques are used to reveal instantaneous examples of the association of the vortices with the LMRs, and linear stochastic estimation and conditional averaging are employed to deduce their statistical properties. The conditional averaging results reveal the presence of LMRs and regions of Q2 and Q4 events that appear to be associated with hairpin-like vortices, but a quantitative correspondence between the sizes of the vortices and those of the LMRs is difficult to establish; a simple estimate of the ratio of the vortex width to the LMR width gives a value that is several times larger than the corresponding ratio over smooth walls. The shape and inclination of the vortices and their spatial organization are compared to recent findings over smooth walls. Characteristic length scales are shown to scale linearly with height in the log region. Whilst there are striking qualitative similarities with smooth walls, there are also important differences in detail regarding: (i) structure angles and sizes and their dependence on distance from the rough surface; (ii) the flow structure close to the roughness; (iii) the roles of inflows into and outflows from cavities within the roughness; (iv) larger vortices on the rough wall compared to the smooth wall; (v) the effect of the different generation mechanism at the wall in setting the scales of structures.
Resumo:
A three-point difference scheme recently proposed in Ref. 1 for the numerical solution of a class of linear, singularly perturbed, two-point boundary-value problems is investigated. The scheme is derived from a first-order approximation to the original problem with a small deviating argument. It is shown here that, in the limit, as the deviating argument tends to zero, the difference scheme converges to a one-sided approximation to the original singularly perturbed equation in conservation form. The limiting scheme is shown to be stable on any uniform grid. Therefore, no advantage arises from using the deviating argument, and the most accurate and efficient results are obtained with the deviation at its zero limit.
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Variational data assimilation in continuous time is revisited. The central techniques applied in this paper are in part adopted from the theory of optimal nonlinear control. Alternatively, the investigated approach can be considered as a continuous time generalization of what is known as weakly constrained four-dimensional variational assimilation (4D-Var) in the geosciences. The technique allows to assimilate trajectories in the case of partial observations and in the presence of model error. Several mathematical aspects of the approach are studied. Computationally, it amounts to solving a two-point boundary value problem. For imperfect models, the trade-off between small dynamical error (i.e. the trajectory obeys the model dynamics) and small observational error (i.e. the trajectory closely follows the observations) is investigated. This trade-off turns out to be trivial if the model is perfect. However, even in this situation, allowing for minute deviations from the perfect model is shown to have positive effects, namely to regularize the problem. The presented formalism is dynamical in character. No statistical assumptions on dynamical or observational noise are imposed.
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Evolutionary meta-algorithms for pulse shaping of broadband femtosecond duration laser pulses are proposed. The genetic algorithm searching the evolutionary landscape for desired pulse shapes consists of a population of waveforms (genes), each made from two concatenated vectors, specifying phases and magnitudes, respectively, over a range of frequencies. Frequency domain operators such as mutation, two-point crossover average crossover, polynomial phase mutation, creep and three-point smoothing as well as a time-domain crossover are combined to produce fitter offsprings at each iteration step. The algorithm applies roulette wheel selection; elitists and linear fitness scaling to the gene population. A differential evolution (DE) operator that provides a source of directed mutation and new wavelet operators are proposed. Using properly tuned parameters for DE, the meta-algorithm is used to solve a waveform matching problem. Tuning allows either a greedy directed search near the best known solution or a robust search across the entire parameter space.
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Expressions for the viscosity correction function, and hence bulk complex impedance, density, compressibility, and propagation constant, are obtained for a rigid frame porous medium whose pores are prismatic with fixed cross-sectional shape, but of variable pore size distribution. The lowand high-frequency behavior of the viscosity correction function is derived for the particular case of a log-normal pore size distribution, in terms of coefficients which can, in general, be computed numerically, and are given here explicitly for the particular cases of pores of equilateral triangular, circular, and slitlike cross-section. Simple approximate formulae, based on two-point Pade´ approximants for the viscosity correction function are obtained, which avoid a requirement for numerical integration or evaluation of special functions, and their accuracy is illustrated and investigated for the three pore shapes already mentioned
Resumo:
Understanding the interplay between intrinsic molecular chirality and chirality of the bonding footprint is crucial in exploiting enantioselectivity at surfaces. As such, achiral glycine and chiral alanine are the most obvious candidates if one is to study this interplay on different surfaces. Here, we have investigated the adsorption of glycine on Cu{311} using reflection-absorption infrared spectroscopy, low-energy electron diffraction, temperature-programmed desorption and first-principles density-functional theory. This combination of techniques has allowed us to accurately identify the molecular conformations present under different conditions, and discuss the overlayer structure in the context of the possible bonding footprints. We have observed coverage-dependent local symmetry breaking, with three-point bonded glycinate moieties forming an achiral arrangement at low coverages, and chirality developing with the presence of two-point bonded moieties at high coverages. Comparison with previous work on the self-assembly of simple amino acids on Cu{311} and the structurally-similar Cu{110} surface has allowed us to rationalise the different conditions necessary for the formation of ordered chiral overlayers.
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We present a detailed description of the Voronoi Tessellation (VT) cluster finder algorithm in 2+1 dimensions, which improves on past implementations of this technique. The need for cluster finder algorithms able to produce reliable cluster catalogs up to redshift 1 or beyond and down to 10(13.5) solar masses is paramount especially in light of upcoming surveys aiming at cosmological constraints from galaxy cluster number counts. We build the VT in photometric redshift shells and use the two-point correlation function of the galaxies in the field to both determine the density threshold for detection of cluster candidates and to establish their significance. This allows us to detect clusters in a self-consistent way without any assumptions about their astrophysical properties. We apply the VT to mock catalogs which extend to redshift 1.4 reproducing the ACDM cosmology and the clustering properties observed in the Sloan Digital Sky Survey data. An objective estimate of the cluster selection function in terms of the completeness and purity as a function of mass and redshift is as important as having a reliable cluster finder. We measure these quantities by matching the VT cluster catalog with the mock truth table. We show that the VT can produce a cluster catalog with completeness and purity > 80% for the redshift range up to similar to 1 and mass range down to similar to 10(13.5) solar masses.
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We study compressible magnetohydrodynamic turbulence, which holds the key to many astrophysical processes, including star formation and cosmic-ray propagation. To account for the variations of the magnetic field in the strongly turbulent fluid, we use wavelet decomposition of the turbulent velocity field into Alfven, slow, and fast modes, which presents an extension of the Cho & Lazarian decomposition approach based on Fourier transforms. The wavelets allow us to follow the variations of the local direction of the magnetic field and therefore improve the quality of the decomposition compared to the Fourier transforms, which are done in the mean field reference frame. For each resulting component, we calculate the spectra and two-point statistics such as longitudinal and transverse structure functions as well as higher order intermittency statistics. In addition, we perform a Helmholtz-Hodge decomposition of the velocity field into incompressible and compressible parts and analyze these components. We find that the turbulence intermittency is different for different components, and we show that the intermittency statistics depend on whether the phenomenon was studied in the global reference frame related to the mean magnetic field or in the frame defined by the local magnetic field. The dependencies of the measures we obtained are different for different components of the velocity; for instance, we show that while the Alfven mode intermittency changes marginally with the Mach number, the intermittency of the fast mode is substantially affected by the change.
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SPOAN is an autosomal recessive neurodegenerative disorder which was recently characterized by our group in a large inbred Brazilian family with 25 affected individuals. This condition is clinically defined by: 1. congenital optic atrophy; 2. progressive spastic paraplegia with onset in infancy; and 3. progressive motor and sensory axonal neuropathy. Overall, we are now aware of 68 SPOAN patients (45 females and 23 males, with age ranging from 5 to 72 years), 44 of which are presented here for the first time. They were all born in the same geographic micro region. Those 68 patients belong to 43 sibships, 40 of which exhibit parental consanguinity. Sixty-one patients were fully clinically evaluated and 64 were included in the genetic investigation. All molecularly studied patients are homozygotes for D11S1889 at 11q13. This enabled us to reduce the critical region for the SPOAN gene from 4.8 to 2.3 Mb, with a maximum two point lod score of 33.2 (with marker D11S987) and of 27.0 (with marker D11S1889). Three genes located in this newly defined critical region were sequenced, but no pathogenic mutation was detected. The gene responsible for SPOAN remains elusive.
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We study the Schwinger model at finite temperature and show that a temperature dependent chiral anomaly may arise from the long distance behavior of the electric field. At high temperature this anomaly depends linearly on the temperature T and is present not only in the two point function, but also in all even point amplitudes. (C) 2011 Elsevier B.V. All rights reserved.
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We consider (for the first time) the ratios of doubly heavy baryon masses (spin 3/2 over spin 1/2 and SU(3) mass-splittings) using double ratios of sum rules (DRSR), which are more accurate than the usual simple ratios often used in the literature for getting the hadron masses. In general, our results agree and compete in precision with potential model predictions. In our approach, the alpha(s) corrections induced by the anomalous dimensions of the correlators are the main sources of the Xi(QQ)*-Xi(QQ) mass-splittings, which seem to indicate a 1/M(Q) behaviour and can only allow the electromagnetic decay Xi(QQ)* -> Xi(QQ) + gamma but not to Xi(QQ) + pi. Our results also show that the SU(3) mass-splittings are (almost) independent of the spin of the baryons and behave approximately like 1/M(Q), which could be understood from the QCD expressions of the corresponding two-point correlator. Our results can improved by including radiative corrections to the SU(3) breaking terms and can be tested, in the near future, at Tevatron and LHCb. (C) 2010 Published by Elsevier B.V.
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The concept of Fock space representation is developed to deal with stochastic spin lattices written in terms of fermion operators. A density operator is introduced in order to follow in parallel the developments of the case of bosons in the literature. Some general conceptual quantities for spin lattices are then derived, including the notion of generating function and path integral via Grassmann variables. The formalism is used to derive the Liouvillian of the d-dimensional Linear Glauber dynamics in the Fock-space representation. Then the time evolution equations for the magnetization and the two-point correlation function are derived in terms of the number operator. (C) 2008 Elsevier B.V. All rights reserved.