1,811 research outputs found

    Sverdlovchanin: a new apple cultivar for the Middle Urals

    Get PDF
    The Middle Urals is a region of risky agriculture. Apple cultivars of more southern origin are usually unpromising due to insufficient level of hardiness, so there is a need to develop and deploy local apple-tree cultivars. The staff of Sverdlovsk Horticultural Breeding Station released a new apple cultivar, ‘Sverdlovchanin’. This cultivar is notable for high winter hardiness, productivity (average yield is ca. 18.0 t/ha), and low fruit shedding rate at harvest maturity. Its fruits are beautiful, uniform, yellow, roundish, weighing 110 g (maximum 205 g), with a very good sweet and sour dessert flavor. The ripening time under the conditions of the Middle Urals is usually late September, and fruits can be stored until the end of February. The author of this cultivar is L. A. Kotov The apple cultivar ‘Sverdlovchanin’ was included in the State Register of Breeding Achievements of the Russian Federation in 2018

    New IGIP Curriculum for Advanced Training of Engineering University Teachers

    Get PDF
    The discussion of the new Curriculum for pedagogical training of teachers of technical disciplines, prior to its approval by the IGIP Executive Committee in the fall of 2019 is considered. The previous version of this Curriculum was approved in 2013. Over the past period, there have been significant changes in the use of ICT in training, discussed in the proposals of the National IGIP Offices, in the proceedings of the Annual IGIP Conferences, including the International Conference ICL-IGIP held in Tallinn on 23–25 September, 2020. At this Conference, IGIP President Hanno Hortsch in his presentation has published the IGIP curriculum in the form of a table (now we present it in translation into Russian) and reported about his vision of its use. The authors formulate their point of view on the topic basing on the overview of the presentations given at this Conference and relevant articles published in the latest issues of the journal “Higher education in Russia”

    Organization of Educational Environment at Pedagogical University: Concepts and Scenario of Changes

    Get PDF
    The subjects of education satisfaction analysis with the teacher training results at the University was carried out. The training deficiencies and new challenges were identified, which made it possible to determine the guidelines for the development of pedagogical university. A variant to transform the organizational scheme of communications between university departments was presented to increase the efficiency of educational environment organization for professional training of future teachers

    Multiple Λ\LambdaCDM cosmology with string landscape features and future singularities

    Full text link
    Multiple Λ\LambdaCDM cosmology is studied in a way that is formally a classical analog of the Casimir effect. Such cosmology corresponds to a time-dependent dark fluid model or, alternatively, to its scalar field presentation, and it motivated by the string landscape picture. The future evolution of the several dark energy models constructed within the scheme is carefully investigated. It turns out to be almost always possible to choose the parameters in the models so that they match the most recent and accurate astronomical values. To this end, several universes are presented which mimick (multiple) Λ\LambdaCDM cosmology but exhibit Little Rip, asymptotically de Sitter, or Type I, II, III, and IV finite-time singularity behavior in the far future, with disintegration of all bound objects in the cases of Big Rip, Little Rip and Pseudo-Rip cosmologies.Comment: LaTeX 11 pages, 10 figure

    Effect of Trends on Detrended Fluctuation Analysis

    Get PDF
    Detrended fluctuation analysis (DFA) is a scaling analysis method used to estimate long-range power-law correlation exponents in noisy signals. Many noisy signals in real systems display trends, so that the scaling results obtained from the DFA method become difficult to analyze. We systematically study the effects of three types of trends -- linear, periodic, and power-law trends, and offer examples where these trends are likely to occur in real data. We compare the difference between the scaling results for artificially generated correlated noise and correlated noise with a trend, and study how trends lead to the appearance of crossovers in the scaling behavior. We find that crossovers result from the competition between the scaling of the noise and the ``apparent'' scaling of the trend. We study how the characteristics of these crossovers depend on (i) the slope of the linear trend; (ii) the amplitude and period of the periodic trend; (iii) the amplitude and power of the power-law trend and (iv) the length as well as the correlation properties of the noise. Surprisingly, we find that the crossovers in the scaling of noisy signals with trends also follow scaling laws -- i.e. long-range power-law dependence of the position of the crossover on the parameters of the trends. We show that the DFA result of noise with a trend can be exactly determined by the superposition of the separate results of the DFA on the noise and on the trend, assuming that the noise and the trend are not correlated. If this superposition rule is not followed, this is an indication that the noise and the superimposed trend are not independent, so that removing the trend could lead to changes in the correlation properties of the noise.Comment: 20 pages, 16 figure
    corecore