4,007 research outputs found
Identification of perturbation modes and controversies in ekpyrotic perturbations
If the linear perturbation theory is valid through the bounce, the surviving
fluctuations from the ekpyrotic scenario (cyclic one as well) should have very
blue spectra with suppressed amplitude for the scalar-type structure. We derive
the same (and consistent) result using the curvature perturbation in the
uniform-field (comoving) gauge and in the zero-shear gauge. Previously, Khoury
et al. interpreted results from the latter gauge condition incorrectly and
claimed the scale-invariant spectrum, thus generating controversy in the
literature. We also correct similar errors in the literature based on wrong
mode identification and joining condition. No joining condition is needed for
the derivation.Comment: 5 pages, substantially revised, match with PLB versio
Hedging Housing Risk
An unusually rich source of data on housing prices in Stockholm is used to analyze the investment implications of housing choices. This empirical analysis derives market-wide price and return series for housing investment during a 13-year period, and it also provides estimates of the individual-specific, idiosyncratic, variation in housing returns. Because the idiosyncratic component follows an autocorrelated process, the analysis of portfolio choice is dependent upon the holding period. We analyze the composition of household investment portfolios containing housing, common stocks, stocks in real estate holding companies, bonds and t-bills. For short holding periods, the efficient portfolio contains essentially no housing. For longer periods, low risk portfolios contain 15 to 50 percent housing. These results suggest that there are large potential gains from policies or institutions that would permit households to hedge their lumpy investments in housing. We estimate the potential value of hedges in reducing risk to households, yet yielding the same investment returns. The value is surprisingly large, especially to poorer homeowners.Portfolio Risk; House Price Index; Hedging
La confianza organizacional como variable mediadora entre el capital psicológico y la conducta de compartir conocimiento
Trabajo de investigaciónLa presente investigación se orientó a determinar si la confianza organizacional se comportaba como mediadora de la relación entre el capital psicológico y la conducta de compartir conocimiento, para lo cual se realizó un estudio cuantitativo con un diseño transversal correlacional, con una muestra de 156 participantes, entre gerentes y empleados de empresas públicas y privadas del Departamento de Boyacá. Se evidenciaron correlaciones positivas entre las variables objeto de estudio y en virtud de los análisis de regresión lineal se encontró que la confianza organizacional media la relación entre el capital psicológico y la conducta de compartir conocimiento. Dado que la mediación encontrada fue parcial, se puede colegir que la confianza organizacional no es la única determinante de la relación entre estas variables; pueden existir otros factores igualmente considerables como el liderazgo. En conclusión, el presente documento visualiza el papel significativo de la confianza en entornos organizacionales, que finalmente se consolidará como una ventaja competitiva.1. RESUMEN
2. MARCO TEÓRICO
3. JUSTIFICACIÓN
4. PLANTEAMIENTO DEL PROBLEMA DE INVESTIGACIÓN
5. OBJETIVOS
6. VARIABLES
7. HIPÓTESIS
8. METODO
9. RESULTADOS
10. DISCUSIÓN
11. REFERENCIAS
12. APÉNDICESMaestríaMagister en Psicologí
Single photons on demand from 3D photonic band-gap structures
We describe a practical implementation of a (semi-deterministic) photon gun
based on stimulated Raman adiabatic passage pumping and the strong enhancement
of the photonic density of states in a photonic band-gap material. We show that
this device allows {\em deterministic} and {\em unidirectional} production of
single photons with a high repetition rate of the order of 100kHz. We also
discuss specific 3D photonic microstructure architectures in which our model
can be realized and the feasibility of implementing such a device using
ions that produce single photons at the telecommunication
wavelength of m.Comment: 4 pages, 4 EPS figure
Interferometric Quantum-Nondemolition Single-Photon Detectors
Two interferometric quantum-nondemolition (QND) devices have been proposed: (1) a polarization-independent device and (2) a polarization-preserving device. The prolarization-independent device works on an input state of up to two photons, whereas the polarization-preserving device works on a superposition of vacuum and single- photon states. The overall function of the device would be to probabilistically generate a unique detector output only when its input electromagnetic mode was populated by a single photon, in which case its output mode would also be populated by a single photon. Like other QND devices, the proposed devices are potentially useful for a variety of applications, including such areas of NASA interest as quantum computing, quantum communication, detection of gravity waves, as well as pedagogical demonstrations of the quantum nature of light. Many protocols in quantum computation and quantum communication require the possibility of detecting a photon without destroying it. The only prior single- photon-detecting QND device is based on quantum electrodynamics in a resonant cavity and, as such, it depends on the photon frequency. Moreover, the prior device can distinguish only between one photon and no photon. The proposed interferometric QND devices would not depend on frequency and could distinguish between (a) one photon and (b) zero or two photons. The first proposed device is depicted schematically in Figure 1. The input electromagnetic mode would be a superposition of a zero-, a one-, and a two-photon quantum state. The overall function of the device would be to probabilistically generate a unique detector output only when its input electromagnetic mode was populated by a single photon, in which case its output mode also would be populated by a single photon
Complete cDNA sequence for rabbit muscle glycogen phosphorylase
AbstractThe cDNA for the nearly full-length rabbit muscle glycogen phosphorylase mRNA has been isolated and sequenced. The cDNA is rich in G and C nucleotides. This feature is especially striking at the 3rd position of codons, where 86% of the 843 amino acid codons terminate with G or C. Methionine, presumably the initiation residue, is found at position—1, suggesting that the removal of only a single methionine residue precedes the amino-terminal acetylation at serine. Eight differences between the deduced amino acid sequence and the previously determined protein sequence are discussed
Learning from Minimum Entropy Queries in a Large Committee Machine
In supervised learning, the redundancy contained in random examples can be
avoided by learning from queries. Using statistical mechanics, we study
learning from minimum entropy queries in a large tree-committee machine. The
generalization error decreases exponentially with the number of training
examples, providing a significant improvement over the algebraic decay for
random examples. The connection between entropy and generalization error in
multi-layer networks is discussed, and a computationally cheap algorithm for
constructing queries is suggested and analysed.Comment: 4 pages, REVTeX, multicol, epsf, two postscript figures. To appear in
Physical Review E (Rapid Communications
PEAKFORCE QUANTITATIVE NANOMECHANICAL MAPPING FOR SURFACE ENERGY CHARACTERIZATION ON THE NANOSCALE: A MINI-REVIEW
Surface energy characterization is important to design the fabrication process of reliable electronic devices. Surface energy is influenced by various factors such as surface functionality and morphology. Owing to the high surface-to-volume ratio, surface energy at the nanoscale can be different from that of the bulk. However, the conventional methods for characterization of surface energy such as a sessile drop or Washburn methods cannot be used for nanoscale samples, owing to the limited volume for characterization. Recently, surface energy characterization on the nanoscale using atomic force microscopy (AFM) with Peak Force-Quantitative Nanomechanical Mapping (PF-QNM) imaging mode has been proposed. The nanoscale AFM tips measure the adhesion forces at the nanoscale, which are converted into surface energy through pre-calibrated curves. Successful surface energy characterization of nanoscale metal samples using AFM with the PF-QNM method has been reported previously. This mini-review discusses the recent progress on surface energy characterization at the nanoscale using AFM with the PF-QNM method. The fundamentals of the PF-QNM mode are introduced, and the results of surface energy characterization are summarized. Consequently, the future research direction for surface energy characterization at the nanoscale is discussed
International Consensus Statement on Allergy and Rhinology: Rhinosinusitis
BACKGROUND: The body of knowledge regarding rhinosinusitis (RS) continues to expand, with rapid growth in number of publications yet substantial variability in the quality of those presentations. In an effort to both consolidate and critically appraise this information, rhinologic experts from around the world have produced the International Consensus Statement on Allergy and Rhinology: Rhinosinusitis (ICAR:RS). This executive summary consolidates the findings of the ICAR:RS document.
METHODS: ICAR:RS presents over 140 topics in the forms of evidence-based reviews with recommendations (EBRRs) and evidence-based reviews (EBR). The structured recommendations of the EBRR sections are summarized in this executive summary.
RESULTS: This summary compiles the EBRRs regarding medical and surgical management of acute RS (ARS) and chronic RS with and without nasal polyps (CRSwNP and CRSsNP).
CONCLUSION: This ICAR:RS Executive Summary provides a compilation of the evidence-based recommendations for medical and surgical treatment of the most common forms of RS
- …