“SOFT POWER”, COMMUNICATION AND THE PROBLEM OF HUMANITARIAN CRISIS

The article is devoted to the philosophical inquiry of the worldview connection between soft power, information and humanitarian crisis of modernity. The purpose of the work is the integrative philosophical analysis of the expression of the “soft power” and informational technologies in the modern social context. It has been concluded that the main negative aspect of “soft power” influence is depreciation of human personality as the last value of the informational society. The way out can be found in transformation of the systems and sub-systems of social communication. Key words: Knowledge, Soft Power, Influence, Information, Society.    

Selection for high [beta]-glucan content and good agronomic performance in oat grain

[Beta]-glucan in oat (Avena Sativa L.) grain is responsible for lowering blood serum cholesterol levels in humans. Those beneficial effects are attributed to the ability of oat to generate viscosity. The objectives of this study were to estimate the genetic components of variance in [Beta]-glucan content and viscosity in high [Beta]-glucan lines, elite agronomic lines, and in their population crosses; to evaluate the differences between elite agronomic lines and high [Beta]-glucan lines for [Beta]-glucan, viscosity and viscosity deviation. The third objective was to use a powerful population design to detect epistatic interaction among parents. The fourth objective was to determine the effectiveness of near-infrared (NIR) technology for analyzing the [Beta]-glucan quantity and quality in oat. A positive correlation (r²=0.38) was found between [Beta]-glucan content and Log transformed viscosity. One can select for [Beta]-glucan content based on the viscosity deviation variance among crosses. Partial least squares (PLS) regression using PROC PLS in SAS was used for cross-validation. Results indicate that NIR analysis of oat grain can be used as an analytical tool to estimate [Beta]-glucan quantity and quality

Multi-wavelength Emission from the Fermi Bubble III. Stochastic (Fermi) Re-Acceleration of Relativistic Electrons Emitted by SNRs

We analyse the model of stochastic re-acceleration of electrons, which are emitted by supernova remnants (SNRs) in the Galactic Disk and propagate then into the Galactic halo, in order to explain the origin on nonthermal (radio and gamma-ray) emission from the Fermi Bubbles (FB). We assume that the energy for re-acceleration in the halo is supplied by shocks generated by processes of star accretion onto the central black hole. Numerical simulations show that regions with strong turbulence (places for electron re-acceleration) are located high up in the Galactic Halo about several kpc above the disk. The energy of SNR electrons that reach these regions does not exceed several GeV because of synchrotron and inverse Compton energy losses. At appropriate parameters of re-acceleration these electrons can be re-accelerated up to the energy 10E12 eV which explains in this model the origin of the observed radio and gamma-ray emission from the FB. However although the model gamma-ray spectrum is consistent with the Fermi results, the model radio spectrum is steeper than the observed by WMAP and Planck. If adiabatic losses due to plasma outflow from the Galactic central regions are taken into account, then the re-acceleration model nicely reproduces the Planck datapoints.Comment: 33 pages, 8 figures, accepted by Ap