4,709 research outputs found
Advanced architectural descriptors in foams: novel 3D computational methods
This work presents 3D computational strategies aimed at providing foam de-structuration of the basic components of a cellular material (struts and cell walls) offering the possibility of analysing separately the structural elements that play an important role in the physical properties of thee materials. Two different methodologies have been used depending on the topological similarities existing between the struts and cell walls: 3D erosion-dilation procedure (thick struts) and solid classification algorithm (thin struts). In a second step, analysis of cell walls is performed in order to show the advantages of analysing separately the two foams components. Particularly, cell wall thickness distribution reveals differences that could not be found prior to the de-structuration
Portable low profile antenna at X-band
An antenna which has been conceived as a portable system for satellite communications based on the recommendations ITU-R S.580-6 and ITU-R S.465-5 for small antennas, i.e., with a diameter lower than 50 wavelengths, is introduced. It is a planar and a compact structure with a size of 40×40×2 cm. The antenna is formed by an array of 256 printed elements covering a large bandwidth (14.7%) at X-Band with a VSWR of 1.4:1. The specification includes transmission (Tx) and reception (Rx) bands simultaneously. The printed antenna has a radiation pattern with a 3dB beamwidth of 5°, over a 31dBi gain, and a dual and an interchangeable circular polarization
Crossover in the nature of the metallic phases in the perovskite-type RNiO_3
We have measured the photoemission spectra of NdSmNiO,
where the metal-insulator transition and the N\'{e}el ordering occur at the
same temperature for and the metal-insulator transition
temperature () is higher than the N\'{e}el temperature for . For , the spectral intensity at the Fermi level is high in the
metallic phase above and gradually decreases with cooling in the
insulating phase below while for it shows a pseudogap-like
behavior above and further diminishes below . The results
clearly establish that there is a sharp change in the nature of the electronic
correlations in the middle () of the metallic phase of the
NiO system.Comment: 4 pages, 4 figure, submitted to Phys. Rev.
Self-organization of ultrasound in viscous fluids
We report the theoretical and experimental demonstration of pattern formation
in acoustics. The system is an acoustic resonator containing a viscous fluid.
When the system is driven by an external periodic force, the ultrasonic field
inside the cavity experiences different pattern-forming instabilities leading
to the emergence of periodic structures. The system is also shown to possess
bistable regimes, in which localized states of the ultrasonic field develop.
The thermal nonlinearity in the viscous fluid, together with the
far-from-equilibrium conditions, are is the responsible of the observed
effects
Friedel Oscillations in Relativistic Nuclear Matter
We calculate the low-momentum N-N effective potential obtained in the OBE
approximation, inside a nuclear plasma at finite temperature, as described by
the relativistic - model. We analyze the screening effects
on the attractive part of the potential in the intermediate range as density or
temperature increase. In the long range the potential shows Friedel-like
oscillations instead of the usual exponential damping. These oscillations arise
from the sharp edge of the Fermi surface and should be encountered in any
realistic model of nuclear matter.Comment: 11 pages in preprint format, typeset using REVTEX, 3 included figures
in tar, compressed, uuencoded forma
The derived category of quasi-coherent sheaves and axiomatic stable homotopy
We prove in this paper that for a quasi-compact and semi-separated (non
necessarily noetherian) scheme X, the derived category of quasi-coherent
sheaves over X, D(A_qc(X)), is a stable homotopy category in the sense of
Hovey, Palmieri and Strickland, answering a question posed by Strickland.
Moreover we show that it is unital and algebraic. We also prove that for a
noetherian semi-separated formal scheme X, its derived category of sheaves of
modules with quasi-coherent torsion homologies D_qct(X) is a stable homotopy
category. It is algebraic but if the formal scheme is not a usual scheme, it is
not unital, therefore its abstract nature differs essentially from that of the
derived category of a usual scheme.Comment: v2: 31 pages, some improvements in exposition; v3 updated
bibliography, to appear Adv. Mat
Modular Planar Antenna at X-band for satellite communications
An antenna which has been conceived as a portable system for satellite communications based on the recommendations ITU-R S.580-6 [1] and ITU-R S.465-5 [2] for small antennas, i.e., with a diameter lower than 50 wavelengths, is introduced. It is a planar and a compact structure with a size of 40×40×2 cm. The antenna is formed by an array of 256 printed elements covering a large bandwidth (14.7%) at X-Band. The specification includes transmission (Tx) and reception (Rx) bands simultaneously. The printed antenna has a radiation pattern with a 3dB beamwidth of 5°, over a 31dBi gain, and a dual and an interchangeable circular polarizatio
Stochastic reserving with a stacked model based on a hybridized Artificial Neural Network
Currently, legal requirements demand that insurance companies increase their
emphasis on monitoring the risks linked to the underwriting and asset
management activities. Regarding underwriting risks, the main uncertainties
that insurers must manage are related to the premium sufficiency to cover
future claims and the adequacy of the current reserves to pay outstanding
claims. Both risks are calibrated using stochastic models due to their nature.
This paper introduces a reserving model based on a set of machine learning
techniques such as Gradient Boosting, Random Forest and Artificial Neural
Networks. These algorithms and other widely used reserving models are stacked
to predict the shape of the runoff. To compute the deviation around a former
prediction, a log-normal approach is combined with the suggested model. The
empirical results demonstrate that the proposed methodology can be used to
improve the performance of the traditional reserving techniques based on
Bayesian statistics and a Chain Ladder, leading to a more accurate assessment
of the reserving risk
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