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In the spirit of the famous CLI stack project [2] the Verisoft project [31] aims at the pervasive verification of entire computer systems including hardware, system software, compiler, and communicating applications, with a special focus on industrial applications. The main programming language used in the Verisoft project is C0 (a subset of C which is similar to MISRA C [20]). This paper reports on (i) an operational small steps semantics for C0 which is formalized in Isabelle/HOL [25], (ii) the formal specification of a compiler from C0 to the DLX machine language [14, 23] in Isabelle/HOL, (iii) a paper and pencil correctness proof for this compiler and the status of the formal verification effort for this proof, and (iv) the implementation of the compiler in C0 and a formal proof in Isabelle/HOL that the implementation produces the same code as the specification. * Work supported by DFG Graduiertenkolleg "Leistungsgarantien für Rechnersysteme". † Work partially funded by the German Federal Ministry of Education and Research (BMBF) in the framework of the Verisoft project under grant 01 IS C38.

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Japan and Russia have deeply rooted cultural traditions regarding natural landscape appreciation, share a common border, and have areas with similar natural environments. They differ, however, in cultural, historical, and economic aspects. The purpose of this study was to reveal the similarities and differences between Russian and Japanese respondents regarding the visual and emotional evaluation of landscapes based on ethno-cultural and regional differences. We asked respondents at universities in Russia (Moscow, Irkutsk, and Kamchatka) and Japan (Hokkaido, Chiba, and Miyazaki) to group and rate 70 landscape images. Unlike theoretical concepts that explain landscape preferences within an evolutionary framework or according to individual and cultural differences, we found that these factors interact in more complicated ways. Cultural traditions and features of the natural environment that were familiar to respondents influenced their visual perception and aesthetic evaluation of landscape. Russian respondents seemed more emotional while Japanese respondents tended to be more restrained in their assessments. However, there was a strong correlation between their estimates of landscape attractiveness, which might confirm the existence of universal human concepts of landscape aesthetics. The most attractive for both Russian and Japanese respondents were waterfalls, mountains, and lakes; waterless plains were the least attractive. At the same time, we found cross-cultural differences in assessing seacoasts, rivers, forests, and swampy plains. There was practically no correlation between Russian and Japanese respondents in their appreciation of exotic/familiar landscapes. For the Russian respondents, the most exotic landscapes were also the most attractive, although we did not observe such a tendency for the Japanese. All respondents appreciated certain familiar landscapes that were symbols of native nature as very attractive. Unlike 'geoscientific' landscape classifications, in the visual and emotional grouping of landscapes, the most important feature appeared to be the presence/absence of water and the type of water basin (river, lake, and sea); for Russian respondents (especially Muscovites), topography was also important, while the Japanese respondents mostly used visual and seasonal characteristics in their classifications. All Japanese respondents assessed the attractiveness and exoticism of landscapes almost identically, while there were some differences among Russian respondents from different regions.

Despite the fact that experimentally with a high degree of statistical significance only a single Standard Model-like Higgs boson is discovered at the LHC, extended Higgs sectors with multiple scalar fields not excluded by combined fits of the data are more preferable theoretically for internally consistent realistic models of particle physics. We analyze the inflationary scenarios which could be induced by the two-Higgs-doublet potential of the Minimal Supersymmetric Standard Model (MSSM) where five scalar fields have non-minimal couplings to gravity. Observables following from such MSSM-inspired multifield inflation are calculated and a number of consistent inflationary scenarios are constructed. Cosmological evolution with different initial conditions for the multifield system leads to consequences fully compatible with observational data on the spectral index and the tensor-to-scalar ratio. It is demonstrated that the strong coupling approximation is precise enough to describe such inflationary scenarios.

The objective of this study was to estimate the prevalence of Salmonella on raw retail chicken meat in Russia. Broiler chicken carcasses (n = 698) were collected from three regions of Russia: central (i.e., Moscow area), northwest (i.e., St. Petersburg area), and southern (i.e., Krasnodar area). In each region, samples were collected to represent various cities and districts, as well as different types of retail stores and carcass storage temperatures (i.e., chilled and frozen). All chicken samples were analyzed for the presence of Salmonella using a whole-carcass rinse method. The overall Salmonella prevalence was 31.5%. There were significant differences (P < 0.05) in Salmonella prevalence by (i) region-29.3% (n = 464) in Moscow, 38.5% (n = 192) in St. Petersburg, and 23.8% (n = 42) in Krasnodar; (ii) retail store type-28.8% (n = 236) in hypermarkets, 31.9% (n = 260) in supermarkets (part of chain stores), 44.3% (n = 61) in independent supermarkets, 42.9% (n = 28) in independent minimarkets, and 26.6% (n = 113) in wet markets; and (iii) poultry company-34.3% (n = 545) on chickens produced by integrated companies compared with 22.9% (n = 118) on chickens produced by nonintegrated companies. Strategies such as good agriculture and management practices should be enhanced to reduce Salmonella prevalence on raw poultry in Russia and therefore increase the safety of chicken products.

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Abstract. The transport infrastructure of Russia is exposed to multiple impacts of various natural hazards and adverse weather phenomena such as heavy rains and snowfalls, river floods, earthquakes, volcanic eruptions, landslides, debris flows, snow avalanches, rockfalls, and ice phenomena. The paper considers impacts of hazardous natural processes and phenomena on transport within the area of Russia. Using the information of the author's database, contributions of natural factors to road, railway, air, and water transport accidents and failures are assessed. The total risk of transport accidents and traffic disruptions triggered by adverse and hazardous natural impacts, as well as the risk of road and railway accidents and disruptions as the most popular modes of transport, is assessed at the level of Russian federal regions. The concept of an emergency situation is used to measure risk. In the risk analysis, 838 emergency situations of various scales and severity caused by natural hazard impacts on the transport infrastructure from 1992 to 2018 are considered. The average annual number of emergencies is taken as an indicator of risk. Regional differences in the risk of transport accidents and disruptions due to natural events are analyzed. Regions most at risk are identified.