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Saint Petersburg, Russia

Saint Petersburg State Polytechnic University is a major Russian technical university situated in Saint Petersburg. Other former names included Peter the Great Polytechnic Institute and Kalinin Polytechnic Institute . The university is considered to be one of the top research facilities in Russian Federation and CIS member states and is a leading educational facility in the field of applied physics and mathematics, industrial engineering, chemical engineering, aerospace engineering and many other academic disciplines. On a national scale, SPbPU in Russian Federation is somewhat akin to Caltech in the United States . Currently SPbPU is ranked among the top 400 in the World. It houses one of the country's most advanced research labs in hydro–aerodynamics. University's alumni include famous Nobel Prize winners, such as Pyotr Kapitsa, prominent nuclear physicists and atomic weapon designers such as , world-class aircraft designers and aerospace engineers, such as . The university offers academic programs to Bachelor, Master's and Doctorate degree levels. SPbSPU consists of structural units called Institutes divided into three categories:Engineering InstitutesPhysical InstitutesEconomics and Humanities Institutes↑ Wikipedia.

Ovid'ko I.A.,Saint Petersburg State Polytechnic University
Reviews on Advanced Materials Science | Year: 2014

This paper presents an overview of research efforts focused on both fabrication and mechanical properties of metal-matrix nanocomposites containing graphene inclusions. A particular attention is devoted to experimental data giving evidence for enhancement of strength, microhardness and Young modulus (due to the effects of graphene inclusions) of such nanocomposites, as compared to both unreinforced metals and metal-matrix nanocomposites reinforced by non-graphene inclusions. Key factors are discussed which influence the role of graphene nanosheets and nanoplatelets in remarkable enhancement of the mechanical characteristics of metal-graphene nanocomposites. © 2014 Advanced Study Center Co. Ltd. Source

Kim M.,Saint Petersburg State Polytechnic University
Molecular Neurodegeneration | Year: 2014

Background: Polyglutamine (polyQ) repeat expansion within coding sequence of a soluble protein is responsible for eight autosomal-dominant genetic neurodegenerative disorders. These disorders affect cerebellum, striatum, basal ganglia and other brain regions. The pathogenic polyQ-expansion threshold in these proteins varies from 32Q to 54Q. Understanding the reasons for variability in pathogenic polyQ threshold may provide insights into pathogenic mechanisms responsible for development of these disorders. Findings: Here we established a quantitative correlation between the polarity of the flanking sequences and pathogenic polyQ-expansion threshold in this protein family. We introduced an "edge polarity index" (EPI) to quantify polarity effects of the flanking regions and established a strong correlation between EPI index and critical polyQ expansion length in this protein family. Based on this analysis we subdivided polyQ-expanded proteins into 2 groups - with strong and weak dependence of polyQ threshold on EPI index. The main difference between members of the first and the second group is a polarity profile of these proteins outside of polyQ and flanking regions. PolyQ proteins are known substrates for proteasome and most likely mechanistic explanation for the observed correlation is that proteasome may have an impaired ability to process continuous non-polar regions of proteins. Conclusions: The proposed hypothesis provides a quantitative explanation for variability in pathogenic threshold among polyQ-expansion disorders, which we established to correlate with polarity of flanking regions. To explain these results we propose that proteasome is not efficient in processing continuous non-polar regions of proteins, resulting in release of undigested and partially digested fragments. If supported experimentally, our hypothesis may have wide implications for further understanding the pathogensis of polyglutamine expansion disorders. Source

Yerokhin V.A.,Saint Petersburg State Polytechnic University
Physical Review A - Atomic, Molecular, and Optical Physics | Year: 2011

The nuclear-size effect on the one-loop self-energy and vacuum polarization is evaluated for the 1s, 2s, 3s, 2p 1/2, and 2p 3/2 states of hydrogen-like ions. The calculation is performed to all orders in the nuclear binding strength parameter Zα. Detailed comparison is made with previous all-order calculations and calculations based on the expansion in the parameter Zα. Extrapolation of the all-order numerical results obtained toward Z=1 provides results for the radiative nuclear-size effect on the hydrogen Lamb shift. © 2011 American Physical Society. Source

Murgul V.,Saint Petersburg State Polytechnic University
Journal of Applied Engineering Science | Year: 2014

In most European countries, including Russia, the requirements for building heat insulation are increasingly stringent. Historic buildings have become "energy inefficient" in terms of walling thermal upgrading aimed at reduced energy consumption. However, unlike the mass series of buildings, the historic ones are of cultural and architectural value. The energy efficient upgrade must not result in the lost of their historical authenticity. The article questions the applicability of existing standards for the thermal insulation of historic buildings, in particular, the "pros" and "cons" of walling thermal insulation. It discusses the need to preserve the exterior of the buildings that are monuments of history and culture as well as the historically-formed construction system. It puts forward the idea of improving the quality of indoor climate in residential buildings instead of energy savings at all costs. Source

Trifonov P.V.,Saint Petersburg State Polytechnic University
IEEE Transactions on Information Theory | Year: 2010

A novel algorithm is proposed for the interpolation step of the Guruswami-Sudan list decoding algorithm. The proposed method is based on the binary exponentiation algorithm, and can be considered as an extension of the Lee-O'Sullivan method. The algorithm is shown to achieve both asymptotical and practical performance gain compared to the case of iterative interpolation algorithm. Further complexity reduction is achieved by employing the reencoding transformation. The key contribution of the paper, which enables the complexity reduction, is a novel randomized ideal multiplication algorithm. © 2010 IEEE. Source

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