Neutrino Emission from Superfluid Neutron-Star Cores: Various Types of Neutron Pairing

We calculate and provide analytic fits of the factors which describe the reduction of the neutrino emissivity of modified Urca and nucleon-nucleon bremsstrahlung processes by superfluidity of neutrons and protons in neutron-star cores. We consider $^1$S$_0$ pairing of protons and either $^1$S$_0$ or $^3$P$_2$ pairing of neutrons. We analyze two types of $^3$P$_2$ pairing: the familiar pairing with zero projection of the total angular momentum of neutron pairs onto quantization axis, $m_J=0$; and the pairing with $|m_J|=2$ which leads to the gap with nodes at the neutron Fermi surface. Combining the new data with those available in the literature we fully describe neutrino emission by nucleons from neutron star cores to be used in simulations of cooling of superfluid neutron stars.Comment: 14 pages, 6 figures, A&A, accepte

Electron transport through nuclear pasta in magnetized neutron stars

We present a simple model for electron transport in a possible layer of exotic nuclear clusters (in the so called nuclear pasta layer) between the crust and liquid core of a strongly magnetized neutron star. The electron transport there can be strongly anisotropic and gyrotropic. The anisotropy is produced by different electron effective collision frequencies along and across local symmetry axis in domains of exotic ordered nuclear clusters and by complicated effects of the magnetic field. We also calculate averaged kinetic coefficients in case local domains are freely oriented. Possible applications of the obtained results and open problems are outlined.Comment: 11 pages 5 figures, MNRAS, accepte

State-business relations in Russia in the 2000s: From the capture model to a variety of exchange models?

Using data from a 2009 survey of 957 manufacturing enterprises, this paper examines relations between the state and business as well as priority differences in the distribution of governmental support by federal, regional and local authorities. Regression analysis reveals that a “model of exchange” is the predominant pattern as opposed to “state capture” (in the case of big firms) or “grabbing hand” (in the case of SMEs), both of which were typical of the 1990s. However, there are some differences in priorities at different levels of government. The federal government in 2007-2008 provided more support to state-owned and mixed enterprises providing stable employment, while regional authorities more often supported firms that were pursuing modernization. These trends could pave the way for a shift in governmental policy at the regional level from ”state capture”/”grabbing hand” to the Chinese-style “helping hand” model.state capture; state-business relations; Russia

Ideology, Shirking, and the Incumbency Advantage in the U.S. House of Representatives

This paper examines how the incumbency advantage is related to ideological voting or legislative shirking that causes the incumbents to diverge from the preference of the median voter using aggregate data for the U.S. House of Representatives between 1948 and 2000. I find that a rise in the incumbency advantage manifested in higher reelection rates increases the ideological divergence or polarization the U.S. House of Representatives. I also find that the average number of bills per congressman falls with greater ideological polarization. These findings suggest that ideological and non-ideological shirking rise with the incumbent reelection rate.

State-business relations and improvement of corporate governance in Russia

In this paper, we analyze the influence of the state on the improvement of corporate governance in Russia of the early 2000s. Taking into account the low quality of market institutions in the 1990s (i.e., the market failure phenomenon), we assume that state intervention as the “second best” institution had a positive impact in this case. Using a dataset of 822 joint-stock companies, we tested this hypothesis in two types of corporate models – state-owned or mixed firms and “politically connected” firms. The first model confirmed a strong positive influence of state ownership on the corporate governance in Russia in 2001-2004. The estimation results of this model are statistically robust in different specifications. We connect this result with attempts of the Russian government to use standard mechanisms and procedures of corporate governance to defend its property rights in its relations with state-owned and mixed enterprises.corporate governance; market institutions; state-owned companies; Russia

Original Loop-closure Detection Algorithm for Monocular vSLAM

Vision-based simultaneous localization and mapping (vSLAM) is a well-established problem in mobile robotics and monocular vSLAM is one of the most challenging variations of that problem nowadays. In this work we study one of the core post-processing optimization mechanisms in vSLAM, e.g. loop-closure detection. We analyze the existing methods and propose original algorithm for loop-closure detection, which is suitable for dense, semi-dense and feature-based vSLAM methods. We evaluate the algorithm experimentally and show that it contribute to more accurate mapping while speeding up the monocular vSLAM pipeline to the extent the latter can be used in real-time for controlling small multi-rotor vehicle (drone)

Diverse correlation structures in gene expression data and their utility in improving statistical inference

It is well known that correlations in microarray data represent a serious nuisance deteriorating the performance of gene selection procedures. This paper is intended to demonstrate that the correlation structure of microarray data provides a rich source of useful information. We discuss distinct correlation substructures revealed in microarray gene expression data by an appropriate ordering of genes. These substructures include stochastic proportionality of expression signals in a large percentage of all gene pairs, negative correlations hidden in ordered gene triples, and a long sequence of weakly dependent random variables associated with ordered pairs of genes. The reported striking regularities are of general biological interest and they also have far-reaching implications for theory and practice of statistical methods of microarray data analysis. We illustrate the latter point with a method for testing differential expression of nonoverlapping gene pairs. While designed for testing a different null hypothesis, this method provides an order of magnitude more accurate control of type 1 error rate compared to conventional methods of individual gene expression profiling. In addition, this method is robust to the technical noise. Quantitative inference of the correlation structure has the potential to extend the analysis of microarray data far beyond currently practiced methods.Comment: Published in at http://dx.doi.org/10.1214/07-AOAS120 the Annals of Applied Statistics (http://www.imstat.org/aoas/) by the Institute of Mathematical Statistics (http://www.imstat.org