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Moscow, Russia

The National Research University Higher School of Economics is one of the leading and largest universities in Russia.The university specializes in economics, social science, mathematics, and computer science. It has more than twenty departments with main campus located in Moscow and three additional campuses in St. Petersburg, Nizhniy Novgorod and Perm.In October 2009 the HSE received the status of a National Research University. Wikipedia.

Akhmedov E.T.,National Research University Higher School of Economics
International Journal of Modern Physics D | Year: 2014

We discuss peculiarities of quantum fields in de Sitter (dS) space on the example of the self-interacting massive real scalar, minimally coupled to the gravity background. Nonconformal quantum field theories (QFTs) in dS space show very special infrared behavior, which is not shared by quantum fields neither in flat nor in anti-dS space: in dS space loops are not suppressed in comparison with tree level contributions because there are strong infrared corrections. That is true even for massive fields. Our main concern is the interrelation between these infrared effects, the invariance of the QFT under the dS isometry and the (in)stability of dS invariant states (and of dS space itself) under nonsymmetric perturbations. © World Scientific Publishing Company. Source

Romanova T.,National Research University Higher School of Economics
Energy Policy | Year: 2014

The article examines institutional changes in EU-Russian energy relations since 2000. The article explores the ability of transformed institutions to limit the politicisation of energy and to reconcile the EU competitive-market approach with Russian state capitalism. More specifically, the article focuses on changes in intergovernmental, transgovernmental and transnational interactions. The article demonstrates that the gradual strengthening of transgovernmental and transnational institutions has inhibited the politicisation of energy relations and facilitated regulative cooperation between the EU and Russia. However, the potential of shared institutions is constrained by internal institutions on both sides. In Russia, these obstacles are insufficient top-down delegation of responsibilities in the government and its great power aspirations. In the EU, key barriers include inter-institutional rivalries, the EU's propensity to impose its legislation on external partners and the integration of energy policy with foreign policy. The article presents several policy implications. First, it is futile to institutionally impose the regulative paradigm of one partner on the other; rather, mutual dialogue is needed. Thus, institutions should be structured appropriately. Second, current depoliticisation will require the involvement of not only the EU and Russia but also transit countries, such as Ukraine. Third, transgovernmental and transnational cooperation should be nurtured because this is a useful channel for both information exchange and a regulative convergence of policy implementing mechanisms. Finally, this incremental regulative convergence is the only option available today for the EU and Russia; this is also a way to further depoliticise energy relations. © 2014 Elsevier Ltd. Source

Maslov V.P.,National Research University Higher School of Economics
Russian Journal of Mathematical Physics | Year: 2015

The notion of locally ideal liquid, similar to locally ideal fluid, is introduced. The distribution of locally ideal liquid is presented and compared with the one given by the van der Waals equation. The notion of phase transition from the metastable liquid state to the metastable solid state (glass) is introduced. © 2015, Pleiades Publishing, Ltd. Source

Mavletova A.,National Research University Higher School of Economics
Social Science Computer Review | Year: 2013

The considerable growth in the number of smart mobile devices with a fast Internet connection provides new challenges for survey researchers. In this article, I compare the data quality between two survey modes: self-administered web surveys conducted via personal computer and those conducted via mobile phones. Data quality is compared based on five indicators: (a) completion rates, (b) response order effects, (c) social desirability, (d) non-substantive responses, and (e) length of open answers. I hypothesized that mobile web surveys would result in lower completion rates, stronger response order effects, and less elaborate answers to open-ended questions. No difference was expected in the level of reporting in sensitive items and in the rate of non-substantive responses. To test the assumptions, an experiment with two survey modes was conducted using a volunteer online access panel in Russia. As expected, mobile web was associated with a lower completion rate, shorter length of open answers, and similar level of socially undesirable and non-substantive responses. However, no stronger primacy effects in mobile web survey mode were found. © The Author(s) 2013. Source

Savchenko A.V.,National Research University Higher School of Economics
Pattern Recognition | Year: 2012

The article is devoted to the problem of image recognition in real-time applications with a large database containing hundreds of classes. The directed enumeration method as an alternative to exhaustive search is examined. This method has two advantages. First, it could be applied with measures of similarity which do not satisfy metric properties (chi-square distance, KullbackLeibler information discrimination, etc.). Second, the directed enumeration method increases recognition speed even in the most difficult cases which seem to be very important in practical terms. In these cases many neighbors are located at very similar distances. In this paper we present the results of an experimental study of the directed enumeration method with comparison of color- and gradient-orientation histograms in solving the problem of face recognition with well-known datasets (Essex, FERET). It is shown that the proposed method is characterized by increased computing efficiency of automatic image recognition (312 times in comparison with a conventional nearest neighbor classifier). © 2012 Elsevier Ltd. All rights reserved. Source

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