31,477 research outputs found
Cylindrical Invisibility Cloak with Simplified Material Parameters is Inherently Visible
It was proposed that perfect invisibility cloaks can be constructed for
hiding objects from electromagnetic illumination (Pendry et al., Science 312,
p. 1780). The cylindrical cloaks experimentally demonstrated (Schurig et al.,
Science 314, p. 997) and proposed (Cai et al., Nat. Photon. 1, p. 224) have
however simplified material parameters in order to facilitate easier
realization as well as to avoid infinities in optical constants. Here we show
that the cylindrical cloaks with simplified material parameters inherently
allow the zeroth-order cylindrical wave to pass through the cloak as if the
cloak is made of a homogeneous isotropic medium, and thus visible. To all
high-order cylindrical waves, our numerical simulation suggests that the
simplified cloak inherits some properties of the ideal cloak, but finite
scatterings exist.Comment: 10 pages, 3 figure
Determinants of emerging market bond spread : do economic fundamentals matter?
In the 1990s international bond issues from developing countries surged dramatically, becoming one of the fastest-growing devices for financing external development. Their terms have improved as institutional investors have become more interested in emerging market securities and better economic prospects in a number of developing countries. But little is known about what determines the pricing and thus the yield spreads of new emerging market bond issues. The author investigates what determines bond spreads in emerging markets in the 1990s. He finds that strong macroeconomic fundamentals in a country -- such as low domestic inflation rates, improved terms of trade, and increased foreign assets -- are associated with lower yield spreads. By contrast, higher yield spreads are associated with weak liquidity variables in a country, such as a high debt-to-GDP (Gross Domestic Product) ratio, a low ratio of foreign reserves to GDP, a low (high) export (import) growth rate, and a high debt-service ratio. At the same time, external shocks -- as measured by the international interest rate -- matter little in the determination of bond spreads. In the aggregate, Latin America countries have a negative yield curve.Environmental Economics&Policies,Economic Theory&Research,Banks&Banking Reform,Payment Systems&Infrastructure,International Terrorism&Counterterrorism,International Terrorism&Counterterrorism,Economic Theory&Research,Macroeconomic Management,Environmental Economics&Policies,Banks&Banking Reform
Random contamination and select response styles affecting measures of fit and reliability in factor analysis
This research examines the effects of nonattending response pattern contamination and select response style patterns on measures of model fit (CFI) and internal reliability (Cronbach's α). A simulation study examines the effects resulting from percentage of contamination, number of manifest items measured and sample size. Initial results indicate that sample size very mildly affects CFI but does not influence α. Percent contamination decreases both CFI and α in a nearly linear fashion over a limited range of contamination. Finally, whereas an increase in the number of manifest items increases resilience to random contamination for α, the opposite was observed for CFI. An increase in the number of manifest items resulted in larger decreases in CFI. Implications are briefly discussed
Effect of single-value response styles on latent factor model convergence and measures of fit
This research examines the effects of single-value response style contamination on measures of model fit and model convergence issues. A simulation study examines the effects resulting from percentage of contamination, number of manifest, number of reverse coded items, magnitude of standardized factor loadings, response scale granularity, and sample size. Initial results indicate that sample size, scale granularity, factor loadings and number of manifest items had little to no effect on measures of fit. Both percent contamination and number of reverse coded items had a large effect on measures of fit. Measures of fit were more readily effected by percent contamination in models with higher standardized factor loadings. Model convergence issues were most strongly related to percent contamination and factor loadings
Electronic excitations in the edge-shared relativistic Mott insulator: Na2IrO3
We have investigated the excitation spectra of j(eff) = 1/2 Mott insulator Na2IrO3. Taking into account a relativistic multiplet structure of Ir ions, we have calculated the optical conductivity sigma(omega) and resonant inelastic x-ray scattering (RIXS) spectra, which manifest different features from those of a canonical j(eff) = 1/2 system Sr2IrO4. Distinctly from the two-peak structure in Sr2IrO4, sigma(omega) in Na2IrO3 has a broad single peak dominated by interband transitions from j(eff) = 3/2 to 1/2. RIXS spectra exhibit the spin-orbit (SO) exciton that has a two-peak structure arising from the crystal-field effect, and the magnon peak at energies much lower than in Sr2IrO4. In addition, a small peak near the optical-absorption edge is found in RIXS spectra, originating from the coupling between the electron-hole (e-h) excitation and the SO exciton. Our findings corroborate the validity of the relativistic electronic structure and importance of both itinerant and local features in Na2IrO3.open1122sciescopu
Analytical modelling of hot-spot traffic in deterministically-routed k-ary n-cubes
Many research studies have proposed analytical models to evaluate the performance of k-ary n-cubes with deterministic wormhole routing. Such models however have so far been confined to uniform traffic distributions. There has been hardly any model proposed that deal with non-uniform traffic distributions that could arise due to, for instance, the presence of hot-spots in the network. This paper proposes the first analytical model to predict message latency in k-ary n-cubes with deterministic routing in the presence of hot-spots. The validity of the model is demonstrated by comparing analytical results with those obtained through extensive simulation experiments
The JStar language philosophy
This paper introduces the JStar parallel programming language, which is a Java-based declarative language aimed at discouraging sequential programming, en-couraging massively parallel programming, and giving the compiler and runtime maximum freedom to try alternative parallelisation strategies. We describe the execution semantics and runtime support of the language, several optimisations and parallelism strategies, with some benchmark results
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