290 research outputs found

    Upper semi-continuity of the Royden-Kobayashi pseudo-norm, a counterexample for H\"olderian almost complex structures

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    If XX is an almost complex manifold, with an almost complex structure JJ of class \CC^\alpha, for some α>0\alpha >0, for every point p∈Xp\in X and every tangent vector VV at pp, there exists a germ of JJ-holomorphic disc through pp with this prescribed tangent vector. This existence result goes back to Nijenhuis-Woolf. All the JJ holomorphic curves are of class \CC^{1,\alpha} in this case. Then, exactly as for complex manifolds one can define the Royden-Kobayashi pseudo-norm of tangent vectors. The question arises whether this pseudo-norm is an upper semi-continuous function on the tangent bundle. For complex manifolds it is the crucial point in Royden's proof of the equivalence of the two standard definitions of the Kobayashi pseudo-metric. The upper semi-continuity of the Royden-Kobayashi pseudo-norm has been established by Kruglikov for structures that are smooth enough. In [I-R], it is shown that \CC^{1,\alpha} regularity of JJ is enough. Here we show the following: Theorem. There exists an almost complex structure JJ of class \CC^{1\over 2} on the unit bidisc \D^2\subset \C^2, such that the Royden-Kobayashi seudo-norm is not an upper semi-continuous function on the tangent bundle.Comment: 5 page

    Fractal Graphs and their Properties

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    The idea of representing urban structure and various communication systems (water and energy supply, telephone and cable TV networks) as fractal objects is not absolutely new. However, known works, devoted to this problem use models and approaches from fractal physics. For example, to simulate urban growth Diffusion Limited Aggregation (DLA) model and Dielectric Breakdown (DB) model are used. This study introduces a different approach. Net structure of communication system is described by a graph of special type called regular G(l,r,n)-graph. Authors provide description of such graph, develop iterative process for its generation and prove its self-similarity, i.e. that every regular graph is a pre-fractal. After the infinite number of steps this process generates a fractal. The devised algorithm for generation and grathical representation of regular G(l,r,n)-graphs with different values of l,r and n has been programmed to receive computer simulations. For optimal graphic presentation of pre-fractals the Optimal Space Ordering method was suggested. It is based on the minimization of the >graph energygraph energy< is directly related to the graph's fractal properties. For G(3,3,n) and G(4,4,n) graphs fractal dimensions calculated by different methods are the same (D=1,5 and D=2 respectively), while topological dimension of both graphs is 1

    БтворСння Ρ–Π½Ρ„ΠΎΡ€ΠΌΠ°Ρ†Ρ–ΠΉΠ½ΠΎ-Π±Ρ–Π±Π»Ρ–ΠΎΠ³Ρ€Π°Ρ„Ρ–Ρ‡Π½ΠΎΠ³ΠΎ рСсурсу Β«Π’ΠΈΠ΄Π°Ρ‚Π½Ρ– ΠΏΠ΅Π΄Π°Π³ΠΎΠ³ΠΈ Π£ΠΊΡ€Π°Ρ—Π½ΠΈ Ρ‚Π° світу» Ρ‚Π° ΠΉΠΎΠ³ΠΎ Π²ΠΏΠ»ΠΈΠ² Π½Π° Ρ€ΠΎΠ·Π²ΠΈΡ‚ΠΎΠΊ Ρ†ΠΈΡ„Ρ€ΠΎΠ²ΠΎΡ— гуманітаристики

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    The article reveals the specifics of creation, content, functions and value of the electronic information and bibliographic resource "Outstanding Educators of Ukraine and the World" of V. O. Sukhomlynskyi State Scientific and Pedagogical Library of the National Academy of Educational Sciences of Ukraine in a comparative dimension with similar Ukrainian and foreign electronic biographical resources. The goals of the development of the electronic biographical resource have been formulated; the specifics of formation of its content and structure have been characterized; the importance of electronic biographical resources in the domestic and foreign educational and scientific space as a component of digital humanities has been substantiated. The influence of the use of electronic biographical resources on public opinion and on a person in the educational dimension has been investigated. It has been proven that in the context of the digital transformation of the scientific sphere and the integration of the Ukrainian education into the European educational and scientific space, the development of electronic information and specialized bibliographic resources, dedicated to well-known personalities in the sphere of education, history and culture, got significant repercussions. We have substantiated why the electronic resource "Outstanding Educators of Ukraine and the World", containing information about Ukrainian and foreign educators and public figures, is a unique specialist resource without analogues. It is a significant contribution to the development of digital pedagogical biographics and it makes it possible, through the prism of scientific biographies, to trace systematically the development of the Ukrainian and foreign education, pedagogical thought in both macrohistorical and microhistorical dimensions and to contribute to the restoration of the national pedagogical memory. The representation via the electronic resource of the generalized knowledge about the humanistic ideas of the Ukrainian and foreign educators and public figures of the past is of great importance for education in general, in particular for pedagogical education in Ukraine, namely in the system of professional training; it is a source of formation of a pedagogical worldview in students who will be teachers in the future, increasing their spiritual culture in the face of global civilizational challenges. We have revealed that the information and bibliographic resource requires further updating, taking into account the new achievements of the Ukrainian and foreign historical, educational and biographical studies and the latest information technologies. The priority tasks for improving the electronic resource have been identified, in particular: the prospects for the content and the ways of updating information and making qualitative changes in the functionality of the electronic educational resource.Π£ статті Ρ€ΠΎΠ·ΠΊΡ€ΠΈΡ‚ΠΎ особливості створСння, зміст, Ρ„ΡƒΠ½ΠΊΡ†Ρ–Ρ—, значСння Π΅Π»Π΅ΠΊΡ‚Ρ€ΠΎΠ½Π½ΠΎΠ³ΠΎ Ρ–Π½Ρ„ΠΎΡ€ΠΌΠ°Ρ†Ρ–ΠΉΠ½ΠΎ-Π±Ρ–Π±Π»Ρ–ΠΎΠ³Ρ€Π°Ρ„Ρ–Ρ‡Π½ΠΎΠ³ΠΎ рСсурсу Β«Π’ΠΈΠ΄Π°Ρ‚Π½Ρ– ΠΏΠ΅Π΄Π°Π³ΠΎΠ³ΠΈ Π£ΠΊΡ€Π°Ρ—Π½ΠΈ Ρ‚Π° світу» Π”Π΅Ρ€ΠΆΠ°Π²Π½ΠΎΡ— Π½Π°ΡƒΠΊΠΎΠ²ΠΎ-ΠΏΠ΅Π΄Π°Π³ΠΎΠ³Ρ–Ρ‡Π½ΠΎΡ— Π±Ρ–Π±Π»Ρ–ΠΎΡ‚Π΅ΠΊΠΈ Π£ΠΊΡ€Π°Ρ—Π½ΠΈ Ρ–ΠΌΠ΅Π½Ρ– Π’. О. Π‘ΡƒΡ…ΠΎΠΌΠ»ΠΈΠ½ΡΡŒΠΊΠΎΠ³ΠΎ ΠΠ°Ρ†Ρ–ΠΎΠ½Π°Π»ΡŒΠ½ΠΎΡ— Π°ΠΊΠ°Π΄Π΅ΠΌΡ–Ρ— ΠΏΠ΅Π΄Π°Π³ΠΎΠ³Ρ–Ρ‡Π½ΠΈΡ… Π½Π°ΡƒΠΊ Π£ΠΊΡ€Π°Ρ—Π½ΠΈ Ρƒ ΠΏΠΎΡ€Ρ–Π²Π½ΡΠ»ΡŒΠ½ΠΎΠΌΡƒ Π²ΠΈΠΌΡ–Ρ€Ρ– Π· Π°Π½Π°Π»ΠΎΠ³Ρ–Ρ‡Π½ΠΈΠΌΠΈ світовими Ρ‚Π° ΡƒΠΊΡ€Π°Ρ—Π½ΡΡŒΠΊΠΈΠΌΠΈ Π΅Π»Π΅ΠΊΡ‚Ρ€ΠΎΠ½Π½ΠΈΠΌΠΈ Π±Ρ–ΠΎΠ³Ρ€Π°Ρ„Ρ–Ρ‡Π½ΠΈΠΌΠΈ рСсурсами. ВиявлСно ΠΏΡ€ΠΈΡ‡ΠΈΠ½ΠΈ, ΡΡ„ΠΎΡ€ΠΌΡƒΠ»ΡŒΠΎΠ²Π°Π½ΠΎ Ρ†Ρ–Π»Ρ– розроблСння Π΅Π»Π΅ΠΊΡ‚Ρ€ΠΎΠ½Π½ΠΈΡ… Π±Ρ–ΠΎΠ³Ρ€Π°Ρ„Ρ–Ρ‡Π½ΠΈΡ… рСсурсів; схарактСризовано особливості формування ΠΊΠΎΠ½Ρ‚Π΅Π½Ρ‚Ρƒ рСсурсів, Ρ—Ρ… структури; Π°Ρ€Π³ΡƒΠΌΠ΅Π½Ρ‚ΠΎΠ²Π°Π½ΠΎ значСння Π΅Π»Π΅ΠΊΡ‚Ρ€ΠΎΠ½Π½ΠΈΡ… Π±Ρ–ΠΎΠ³Ρ€Π°Ρ„Ρ–Ρ‡Π½ΠΈΡ… рСсурсів Ρƒ вітчизняному Ρ‚Π° Π·Π°Ρ€ΡƒΠ±Ρ–ΠΆΠ½ΠΎΠΌΡƒ ΠΎΡΠ²Ρ–Ρ‚Π½ΡŒΠΎ-Π½Π°ΡƒΠΊΠΎΠ²ΠΎΠΌΡƒ просторі як складника Ρ†ΠΈΡ„Ρ€ΠΎΠ²ΠΎΡ— гуманітаристики. ДослідТСно Π²ΠΏΠ»ΠΈΠ² використання Π΅Π»Π΅ΠΊΡ‚Ρ€ΠΎΠ½Π½ΠΈΡ… Π±Ρ–ΠΎΠ³Ρ€Π°Ρ„Ρ–Ρ‡Π½ΠΈΡ… рСсурсів Π½Π° ΡΡƒΡΠΏΡ–Π»ΡŒΠ½Ρƒ Π΄ΡƒΠΌΠΊΡƒ Ρ‚Π° Π»ΡŽΠ΄ΠΈΠ½Ρƒ Π² ΠΎΡΠ²Ρ–Ρ‚Π½ΡŒΠΎΠΌΡƒ Π²ΠΈΠΌΡ–Ρ€Ρ–. Π”ΠΎΠ²Π΅Π΄Π΅Π½ΠΎ, Ρ‰ΠΎ Π² ΡƒΠΌΠΎΠ²Π°Ρ… Ρ†ΠΈΡ„Ρ€ΠΎΠ²ΠΎΡ— трансформації Π½Π°ΡƒΠΊΠΎΠ²ΠΎΡ— сфСри Ρ‚Π° Ρ–Π½Ρ‚Π΅Π³Ρ€Π°Ρ†Ρ–Ρ— ΡƒΠΊΡ€Π°Ρ—Π½ΡΡŒΠΊΠΎΡ— освіти Π΄ΠΎ Ρ”Π²Ρ€ΠΎΠΏΠ΅ΠΉΡΡŒΠΊΠΎΠ³ΠΎ ΠΎΡΠ²Ρ–Ρ‚Π½ΡŒΠΎ-Π½Π°ΡƒΠΊΠΎΠ²ΠΎΠ³ΠΎ простору Π½Π°Π±ΡƒΠ»ΠΎ Π·Π½Π°Ρ‡Π½ΠΎΠ³ΠΎ рСзонансу розроблСння Π΅Π»Π΅ΠΊΡ‚Ρ€ΠΎΠ½Π½ΠΈΡ… Ρ–Π½Ρ„ΠΎΡ€ΠΌΠ°Ρ†Ρ–ΠΉΠ½ΠΎ-Π±Ρ–Π±Π»Ρ–ΠΎΠ³Ρ€Π°Ρ„Ρ–Ρ‡Π½ΠΈΡ… рСсурсів Π³Π°Π»ΡƒΠ·Π΅Π²ΠΎΠ³ΠΎ спрямування, присвячСних Π²Ρ–Π΄ΠΎΠΌΠΈΠΌ діячам освіти, історії, ΠΊΡƒΠ»ΡŒΡ‚ΡƒΡ€ΠΈ. АргумСнтовано, Ρ‰ΠΎ Π΅Π»Π΅ΠΊΡ‚Ρ€ΠΎΠ½Π½ΠΈΠΉ рСсурс Β«Π’ΠΈΠ΄Π°Ρ‚Π½Ρ– ΠΏΠ΅Π΄Π°Π³ΠΎΠ³ΠΈ Π£ΠΊΡ€Π°Ρ—Π½ΠΈ Ρ‚Π° світу», ΠΊΠΎΡ‚Ρ€ΠΈΠΉ ΠΌΡ–ΡΡ‚ΠΈΡ‚ΡŒ Ρ–Π½Ρ„ΠΎΡ€ΠΌΠ°Ρ†Ρ–ΡŽ ΠΏΡ€ΠΎ ΡƒΠΊΡ€Π°Ρ—Π½ΡΡŒΠΊΠΈΡ… Ρ– Π·Π°Ρ€ΡƒΠ±Ρ–ΠΆΠ½ΠΈΡ… ΠΏΠ΅Π΄Π°Π³ΠΎΠ³Ρ–Π² Ρ– освітян, Ρ” ΡƒΠ½Ρ–ΠΊΠ°Π»ΡŒΠ½ΠΈΠΌ Π³Π°Π»ΡƒΠ·Π΅Π²ΠΈΠΌ рСсурсом, Π°Π½Π°Π»ΠΎΠ³Ρ–Π² якому Π½Π΅ Π·Π½Π°ΠΉΠ΄Π΅Π½ΠΎ. Π’Ρ–Π½ Ρ” Π²Π°Π³ΠΎΠΌΠΈΠΌ внСском Ρƒ Ρ€ΠΎΠ·Π²ΠΈΡ‚ΠΎΠΊ Ρ†ΠΈΡ„Ρ€ΠΎΠ²ΠΎΡ— ΠΏΠ΅Π΄Π°Π³ΠΎΠ³Ρ–Ρ‡Π½ΠΎΡ— Π±Ρ–ΠΎΠ³Ρ€Π°Ρ„Ρ–ΠΊΠΈ ΠΉ дозволяє ΠΊΡ€Ρ–Π·ΡŒ ΠΏΡ€ΠΈΠ·ΠΌΡƒ Π½Π°ΡƒΠΊΠΎΠ²ΠΈΡ… Π±Ρ–ΠΎΠ³Ρ€Π°Ρ„Ρ–ΠΉ систСмно простСТувати Ρ€ΠΎΠ·Π²ΠΈΡ‚ΠΎΠΊ ΡƒΠΊΡ€Π°Ρ—Π½ΡΡŒΠΊΠΎΡ— Ρ– Π·Π°Ρ€ΡƒΠ±Ρ–ΠΆΠ½ΠΎΡ— освіти, ΠΏΠ΅Π΄Π°Π³ΠΎΠ³Ρ–Ρ‡Π½ΠΎΡ— Π΄ΡƒΠΌΠΊΠΈ як Ρƒ макроісторичних, Ρ‚Π°ΠΊ Ρ– Π² мікроісторичних Π²ΠΈΠΌΡ–Ρ€Π°Ρ…, сприяє Π²Ρ–Π΄Π½ΠΎΠ²Π»Π΅Π½Π½ΡŽ Π½Π°Ρ†Ρ–ΠΎΠ½Π°Π»ΡŒΠ½ΠΎΡ— ΠΏΠ΅Π΄Π°Π³ΠΎΠ³Ρ–Ρ‡Π½ΠΎΡ— пам’яті. РСпрСзСнтація Π·Π° допомогою Π΅Π»Π΅ΠΊΡ‚Ρ€ΠΎΠ½Π½ΠΎΠ³ΠΎ рСсурсу ΡƒΠ·Π°Π³Π°Π»ΡŒΠ½Π΅Π½ΠΎΠ³ΠΎ знання ΠΏΡ€ΠΎ гуманістичні Ρ–Π΄Π΅Ρ— ΡƒΠΊΡ€Π°Ρ—Π½ΡΡŒΠΊΠΈΡ… Ρ– Π·Π°Ρ€ΡƒΠ±Ρ–ΠΆΠ½ΠΈΡ… ΠΏΠ΅Π΄Π°Π³ΠΎΠ³Ρ–Π² Ρ‡ΠΈ освітян ΠΌΠΈΠ½ΡƒΠ»ΠΎΠ³ΠΎ ΠΌΠ°Ρ” Π²Π΅Π»ΠΈΠΊΠ΅ значСння для освіти Π·Π°Π³Π°Π»ΠΎΠΌ, Π·ΠΎΠΊΡ€Π΅ΠΌΠ° ΠΏΠ΅Π΄Π°Π³ΠΎΠ³Ρ–Ρ‡Π½ΠΎΡ— освіти Π£ΠΊΡ€Π°Ρ—Π½ΠΈ, Π° самС Π² систСмі профСсійної ΠΏΡ–Π΄Π³ΠΎΡ‚ΠΎΠ²ΠΊΠΈ, Ρ‚Π° Ρ” Π΄ΠΆΠ΅Ρ€Π΅Π»ΠΎΠΌ формування Π² студСнтів – ΠΌΠ°ΠΉΠ±ΡƒΡ‚Π½Ρ–Ρ… ΠΏΠ΅Π΄Π°Π³ΠΎΠ³Ρ–Π² – ΠΏΠ΅Π΄Π°Π³ΠΎΠ³Ρ–Ρ‡Π½ΠΎΠ³ΠΎ світогляду, підвищСння Ρ—Ρ… Π΄ΡƒΡ…ΠΎΠ²Π½ΠΎΡ— ΠΊΡƒΠ»ΡŒΡ‚ΡƒΡ€ΠΈ Π² ΡƒΠΌΠΎΠ²Π°Ρ… Π³Π»ΠΎΠ±Π°Π»ΡŒΠ½ΠΈΡ… Ρ†ΠΈΠ²Ρ–Π»Ρ–Π·Π°Ρ†Ρ–ΠΉΠ½ΠΈΡ… Π²ΠΈΠΊΠ»ΠΈΠΊΡ–Π². З’ясовано, Ρ‰ΠΎ Ρ–Π½Ρ„ΠΎΡ€ΠΌΠ°Ρ†Ρ–ΠΉΠ½ΠΎ-Π±Ρ–Π±Π»Ρ–ΠΎΠ³Ρ€Π°Ρ„Ρ–Ρ‡Π½ΠΈΠΉ рСсурс ΠΏΠΎΡ‚Ρ€Π΅Π±ΡƒΡ” подальшого оновлСння Π· урахуванням Π½ΠΎΠ²ΠΈΡ… Π·Π΄ΠΎΠ±ΡƒΡ‚ΠΊΡ–Π² ΡƒΠΊΡ€Π°Ρ—Π½ΡΡŒΠΊΠΈΡ… Ρ– Π·Π°Ρ€ΡƒΠ±Ρ–ΠΆΠ½ΠΈΡ… історико-освітніх, історичних Ρ‚Π° Π±Ρ–ΠΎΠ³Ρ€Π°Ρ„Ρ–Ρ‡Π½ΠΈΡ… студій, Π½ΠΎΠ²Ρ–Ρ‚Π½Ρ–Ρ… Ρ–Π½Ρ„ΠΎΡ€ΠΌΠ°Ρ†Ρ–ΠΉΠ½ΠΈΡ… Ρ‚Π΅Ρ…Π½ΠΎΠ»ΠΎΠ³Ρ–ΠΉ Ρ‚ΠΎΡ‰ΠΎ. Π’ΠΈΠ·Π½Π°Ρ‡Π΅Π½ΠΎ ΠΏΡ€Ρ–ΠΎΡ€ΠΈΡ‚Π΅Ρ‚Π½Ρ– завдання Ρ‰ΠΎΠ΄ΠΎ вдосконалСння Π΅Π»Π΅ΠΊΡ‚Ρ€ΠΎΠ½Π½ΠΎΠ³ΠΎ рСсурсу, Π·ΠΎΠΊΡ€Π΅ΠΌΠ° пСрспСктиви змістового наповнСння, ΡˆΠ»ΡΡ…ΠΈ оновлСння відомостСй Ρ‚Π° внСсСння якісних Π·ΠΌΡ–Π½ Π΄ΠΎ Ρ„ΡƒΠ½ΠΊΡ†Ρ–ΠΎΠ½Π°Π»Ρƒ Ρ†ΠΈΡ„Ρ€ΠΎΠ²ΠΎΠ³ΠΎ Π½Π°ΡƒΠΊΠΎΠ²ΠΎ-ΠΎΡΠ²Ρ–Ρ‚Π½ΡŒΠΎΠ³ΠΎ рСсурсу

    ΠžΠ ΠΠΠ–Π•Π’ΠžΠŸΠ›ΠžΠ”ΠΠ«Π™ БОРВ РУЀИНА И ΠŸΠ•Π Π‘ΠŸΠ•ΠšΠ’Π˜Π’Π« Π•Π“Πž Π˜Π‘ΠŸΠžΠ›Π¬Π—ΠžΠ’ΠΠΠ˜Π― Π’ Π‘Π•Π›Π•ΠšΠ¦Π˜ΠžΠΠΠ«Π₯ ΠŸΠ ΠžΠ“Π ΠΠœΠœΠΠ₯ Π‘ΠžΠ—Π”ΠΠΠ˜Π― ΠΠžΠ’Π«Π₯ ЀОРМ ВОМАВА Π”Π›Π― Π—ΠΠ©Π˜Π©Π•ΠΠΠžΠ“Πž ГРУНВА

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    Priority directions in tomato breeding for protected ground remain stable productivity ness and quality of fruit, early ripeness, resistant to the most harmful diseases. Creating such varieties is a required component of ecological agriculture. Recently, the demand of appropriate species increases and hybrids of tomato with different colouring of the fruit, which is determined by the contents of xanthophylls and various carotenoids (lycopene, Ξ²-carotene, lutein, etc.) with antioxidant properties. According to the state program of research for 2000-2010, the staff of the laboratory of gamete and molecular methods of selection of Federal Scientific Vegetable Center created orange early crop variety Rufina for greenhouses. The article describes the brief history of its creation and characterization on major valuable features. Tomato cultivar Rufina is a source of economically useful traits: early ripeness, resistant to abiotic and biotic stresses, yield, palatability and nutritional value of fruits. Therefore, at present it is used when creating new forms of tomato, adapted to the conditions of various modern technologies protected ground - low-volume cultivation and multi-level narrow column hydroponics (MUG). A perspective starting material was received. These are five productive selection forms for the low-volume technology, haracterized by early ripeness (the beginning of harvesting on the 50-70 day of sowing), the weight of the fruit from 90 to 130 g, resistance to apical rot. For a MUG - two low forms with orange fruits weighing more than 30 grams, created as a result of hybridization with determinants of dwarfish redplant varieties Natasha.ΠŸΡ€ΠΈΠΎΡ€ΠΈΡ‚Π΅Ρ‚Π½Ρ‹ΠΌΠΈ направлСниями Π² сСлСкции Ρ‚ΠΎΠΌΠ°Ρ‚Π° для Π·Π°Ρ‰ΠΈΡ‰Π΅Π½Π½ΠΎΠ³ΠΎ Π³Ρ€ΡƒΠ½Ρ‚Π° ΠΎΡΡ‚Π°ΡŽΡ‚ΡΡ ΡΡ‚Π°Π±ΠΈΠ»ΡŒΠ½Π°Ρ ΠΏΡ€ΠΎΠ΄ΡƒΠΊΡ‚ΠΈΠ²Π½ΠΎΡΡ‚ΡŒ ΠΈ качСство ΠΏΠ»ΠΎΠ΄ΠΎΠ², Ρ€Π°Π½Π½Π΅ΡΠΏΠ΅Π»ΠΎΡΡ‚ΡŒ, ΡƒΡΡ‚ΠΎΠΉΡ‡ΠΈΠ²ΠΎΡΡ‚ΡŒ ΠΊ Π½Π°ΠΈΠ±ΠΎΠ»Π΅Π΅ врСдоносным болСзням. Π’Ρ‹Π²Π΅Π΄Π΅Π½ΠΈΠ΅ Ρ‚Π°ΠΊΠΈΡ… сортов являСтся ΠΎΠ±ΡΠ·Π°Ρ‚Π΅Π»ΡŒΠ½Ρ‹ΠΌ ΠΊΠΎΠΌΠΏΠΎΠ½Π΅Π½Ρ‚ΠΎΠΌ экологичСского зСмлСдСлия. Π’ послСднСС врСмя возрастаСт спрос Π½Π° сорта ΠΈ Π³ΠΈΠ±Ρ€ΠΈΠ΄Ρ‹ Ρ‚ΠΎΠΌΠ°Ρ‚Π° с Ρ€Π°Π·Π»ΠΈΡ‡Π½ΠΎΠΉ окраской ΠΏΠ»ΠΎΠ΄Π°, которая опрСдСляСтся содСрТаниСм ксантофиллов ΠΈ Ρ€Π°Π·Π½Ρ‹Ρ… ΠΊΠ°Ρ€ΠΎΡ‚ΠΈΠ½ΠΎΠΈΠ΄ΠΎΠ² (Π»ΠΈΠΊΠΎΠΏΠΈΠ½, Ξ²-ΠΊΠ°Ρ€ΠΎΡ‚ΠΈΠ½, Π»ΡŽΡ‚Π΅ΠΈΠ½ ΠΈ Π΄Ρ€.), ΠΎΠ±Π»Π°Π΄Π°ΡŽΡ‰ΠΈΡ… антиоксидантными свойствами. Π’ Ρ€Π°ΠΌΠΊΠ°Ρ… государствСнной ΠΏΡ€ΠΎΠ³Ρ€Π°ΠΌΠΌΡ‹ НИР Π½Π° 2000-2010 Π³ΠΎΠ΄Ρ‹ ΠΊΠΎΠ»Π»Π΅ΠΊΡ‚ΠΈΠ²ΠΎΠΌ Π»Π°Π±ΠΎΡ€Π°Ρ‚ΠΎΡ€ΠΈΠΈ Π³Π°ΠΌΠ΅Ρ‚Π½Ρ‹Ρ… ΠΈ молСкулярных ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠ² сСлСкции ЀГБНУ Π’ΠΠ˜Π˜Π‘Π‘ΠžΠš (Π½Ρ‹Π½Π΅ ЀГБНУ ЀНЦО) Π±Ρ‹Π» создан ΠΎΡ€Π°Π½ΠΆΠ΅Π²ΠΎΠΏΠ»ΠΎΠ΄Π½Ρ‹ΠΉ раннСспСлый ΡƒΡ€ΠΎΠΆΠ°ΠΉΠ½Ρ‹ΠΉ сорт Π ΡƒΡ„ΠΈΠ½Π° для ΠΏΠ»Π΅Π½ΠΎΡ‡Π½Ρ‹Ρ… Ρ‚Π΅ΠΏΠ»ΠΈΡ†. Π’ ΡΡ‚Π°Ρ‚ΡŒΠ΅ ΠΏΡ€ΠΈΠ²Π΅Π΄Π΅Π½Π° краткая история Π΅Π³ΠΎ создания ΠΈ характСристика ΠΏΠΎ основным хозяйствСнно Ρ†Π΅Π½Π½Ρ‹ΠΌ ΠΏΡ€ΠΈΠ·Π½Π°ΠΊΠ°ΠΌ. Π‘ΠΎΡ€Ρ‚ Ρ‚ΠΎΠΌΠ°Ρ‚Π° Π ΡƒΡ„ΠΈΠ½Π° являСтся источником хозяйствСнно ΠΏΠΎΠ»Π΅Π·Π½Ρ‹Ρ… ΠΏΡ€ΠΈΠ·Π½Π°ΠΊΠΎΠ²: Ρ€Π°Π½Π½Π΅ΡΠΏΠ΅Π»ΠΎΡΡ‚ΡŒ, ΡƒΡΡ‚ΠΎΠΉΡ‡ΠΈΠ²ΠΎΡΡ‚ΡŒ ΠΊ абиотичСским ΠΈ биотичСским стрСссам, ΡƒΡ€ΠΎΠΆΠ°ΠΉΠ½ΠΎΡΡ‚ΡŒ, вкусовыС качСства ΠΈ пищСвая Ρ†Π΅Π½Π½ΠΎΡΡ‚ΡŒ ΠΏΠ»ΠΎΠ΄ΠΎΠ². ΠŸΠΎΡΡ‚ΠΎΠΌΡƒ, Π² настоящСС врСмя ΠΎΠ½ ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΡƒΠ΅Ρ‚ΡΡ ΠΊΠ°ΠΊ ΠΏΡ€ΠΈ создании Π½ΠΎΠ²Ρ‹Ρ… Ρ„ΠΎΡ€ΠΌ Ρ‚ΠΎΠΌΠ°Ρ‚Π°, Π°Π΄Π°ΠΏΡ‚ΠΈΡ€ΠΎΠ²Π°Π½Π½Ρ‹Ρ… ΠΊ условиям Ρ€Π°Π·Π»ΠΈΡ‡Π½Ρ‹Ρ… соврСмСнных Ρ‚Π΅Ρ…Π½ΠΎΠ»ΠΎΠ³ΠΈΠΉ Π·Π°Ρ‰ΠΈΡ‰Π΅Π½Π½ΠΎΠ³ΠΎ Π³Ρ€ΡƒΠ½Ρ‚Π° - малообъСмноС Π²Ρ‹Ρ€Π°Ρ‰ΠΈΠ²Π°Π½ΠΈΠ΅ ΠΈ многоярусная узкостСллаТная Π³ΠΈΠ΄Ρ€ΠΎΠΏΠΎΠ½ΠΈΠΊΠ° (ΠœΠ£Π“). Π’ Ρ€Π°ΠΌΠΊΠ°Ρ… Ρ€Π΅Π°Π»ΠΈΠ·Π°Ρ†ΠΈΠΈ сСлСкционных ΠΏΡ€ΠΎΠ³Ρ€Π°ΠΌΠΌ Π½Π° Π΅Π³ΠΎ основС ΠΏΠΎΠ»ΡƒΡ‡Π΅Π½ пСрспСктивный исходный ΠΌΠ°Ρ‚Π΅Ρ€ΠΈΠ°Π» для создания адрСсных сортов. Π­Ρ‚ΠΎ ΠΏΡΡ‚ΡŒ ΠΏΡ€ΠΎΠ΄ΡƒΠΊΡ‚ΠΈΠ²Π½Ρ‹Ρ… сСлСкционных Ρ„ΠΎΡ€ΠΌ для молообъСмной Ρ‚Π΅Ρ…Π½ΠΎΠ»ΠΎΠ³ΠΈΠΈ, ΠΊΠΎΡ‚ΠΎΡ€Ρ‹Π΅ Ρ…Π°Ρ€Π°ΠΊΡ‚Π΅Ρ€ΠΈΠ·ΡƒΡŽΡ‚ΡΡ Ρ€Π°Π½Π½Π΅ΡΠΏΠ΅Π»ΠΎΡΡ‚ΡŒΡŽ (Π½Π°Ρ‡Π°Π»ΠΎ сбора ΠΏΠ»ΠΎΠ΄ΠΎΠ² Π½Π° 50-70 сутки ΠΎΡ‚ посСва), массой ΠΏΠ»ΠΎΠ΄Π° ΠΎΡ‚ 90 Π΄ΠΎ 130 Π³, ΡƒΡΡ‚ΠΎΠΉΡ‡ΠΈΠ²ΠΎΡΡ‚ΡŒΡŽ ΠΊ Π²Π΅Ρ€ΡˆΠΈΠ½Π½ΠΎΠΉ Π³Π½ΠΈΠ»ΠΈ. Для ΠœΠ£Π“ - Π΄Π²Π΅ низкорослыС ΡˆΡ‚Π°ΠΌΠ±ΠΎΠ²Ρ‹Π΅ Ρ„ΠΎΡ€ΠΌΡ‹ с ΠΎΡ€Π°Π½ΠΆΠ΅Π²Ρ‹ΠΌΠΈ ΠΏΠ»ΠΎΠ΄Π°ΠΌΠΈ массой Π±ΠΎΠ»Π΅Π΅ 30 Π³, созданныС Π² Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Π΅ Π³ΠΈΠ±Ρ€ΠΈΠ΄ΠΈΠ·Π°Ρ†ΠΈΠΈ с Π΄Π΅Ρ‚Π΅Ρ€ΠΌΠΈΠ½Π°Π½Ρ‚Π½Ρ‹ΠΌ ΠΊΠ°Ρ€Π»ΠΈΠΊΠΎΠ²Ρ‹ΠΌ красноплодным сортом ΠΠ°Ρ‚Π°ΡˆΠ°

    Photoactivatable prodrugs of antimelanoma agent Vemurafenib

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    In this study, we report on novel photoactivatable caged prodrugs of vemurafenib. This kinase inhibitor was the first approved drug for the personalized treatment of BRAF-mutated melanoma and showed impressive results in clinical studies. However, the occurrence of severe side effects and drug resistance illustrates the urgent need for innovative therapeutic approaches. To conquer these limitations, we implemented photoremovable protecting groups into vemurafenib. In general, this caging concept provides spatial and temporal control over the activation of molecules triggered by ultraviolet light. Thus, higher inhibitor concentrations in tumor tissues might be reached with less systemic effects. Our study describes the first development of caged vemurafenib prodrugs useful as pharmacological tools. We investigated their photochemical characteristics and photoactivation. <i>In vitro</i> evaluation proved the intended loss-of-function and the light-dependent recovery of efficacy in kinase and cellular assays. The reported vemurafenib photo prodrugs represent a powerful biological tool for novel pharmacological approaches in cancer research

    Genome-Scale Modeling of Light-Driven Reductant Partitioning and Carbon Fluxes in Diazotrophic Unicellular Cyanobacterium Cyanothece sp. ATCC 51142

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    Genome-scale metabolic models have proven useful for answering fundamental questions about metabolic capabilities of a variety of microorganisms, as well as informing their metabolic engineering. However, only a few models are available for oxygenic photosynthetic microorganisms, particularly in cyanobacteria in which photosynthetic and respiratory electron transport chains (ETC) share components. We addressed the complexity of cyanobacterial ETC by developing a genome-scale model for the diazotrophic cyanobacterium, Cyanothece sp. ATCC 51142. The resulting metabolic reconstruction, iCce806, consists of 806 genes associated with 667 metabolic reactions and includes a detailed representation of the ETC and a biomass equation based on experimental measurements. Both computational and experimental approaches were used to investigate light-driven metabolism in Cyanothece sp. ATCC 51142, with a particular focus on reductant production and partitioning within the ETC. The simulation results suggest that growth and metabolic flux distributions are substantially impacted by the relative amounts of light going into the individual photosystems. When growth is limited by the flux through photosystem I, terminal respiratory oxidases are predicted to be an important mechanism for removing excess reductant. Similarly, under photosystem II flux limitation, excess electron carriers must be removed via cyclic electron transport. Furthermore, in silico calculations were in good quantitative agreement with the measured growth rates whereas predictions of reaction usage were qualitatively consistent with protein and mRNA expression data, which we used to further improve the resolution of intracellular flux values

    Zebrafish Kidney Phagocytes Utilize Macropinocytosis and Ca2+-Dependent Endocytic Mechanisms

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    Background: The innate immune response constitutes the first line of defense against invading pathogens and consists of a variety of immune defense mechanisms including active endocytosis by macrophages and granulocytes. Endocytosis can be used as a reliable measure of selective and non-selective mechanisms of antigen uptake in the early phase of an immune response. Numerous assays have been developed to measure this response in a variety of mammalian and fish species. The small size of the zebrafish has prevented the large-scale collection of monocytes/macrophages and granulocytes for these endocytic assays. Methodology/Principal Findings: Pooled zebrafish kidney hematopoietic tissues were used as a source of phagocytic cells for flow-cytometry based endocytic assays. FITC-Dextran, Lucifer Yellow and FITC-Edwardsiella ictaluri were used to evaluate selective and non-selective mechanisms of uptake in zebrafish phagocytes. Conclusions/Significance: Zebrafish kidney phagocytes characterized as monocytes/macrophages, neutrophils and lymphocytes utilize macropinocytosis and Ca 2+-dependant endocytosis mechanisms of antigen uptake. These cells do not appear to utilize a mannose receptor. Heat-killed Edwardsiella ictaluri induces cytoskeletal interactions for internalization in zebrafish kidney monocytes/macrophages and granulocytes. The proposed method is easy to implement and should prove especially useful in immunological, toxicological and epidemiological research

    Identification of Functional Differences in Metabolic Networks Using Comparative Genomics and Constraint-Based Models

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    Genome-scale network reconstructions are useful tools for understanding cellular metabolism, and comparisons of such reconstructions can provide insight into metabolic differences between organisms. Recent efforts toward comparing genome-scale models have focused primarily on aligning metabolic networks at the reaction level and then looking at differences and similarities in reaction and gene content. However, these reaction comparison approaches are time-consuming and do not identify the effect network differences have on the functional states of the network. We have developed a bilevel mixed-integer programming approach, CONGA, to identify functional differences between metabolic networks by comparing network reconstructions aligned at the gene level. We first identify orthologous genes across two reconstructions and then use CONGA to identify conditions under which differences in gene content give rise to differences in metabolic capabilities. By seeking genes whose deletion in one or both models disproportionately changes flux through a selected reaction (e.g., growth or by-product secretion) in one model over another, we are able to identify structural metabolic network differences enabling unique metabolic capabilities. Using CONGA, we explore functional differences between two metabolic reconstructions of Escherichia coli and identify a set of reactions responsible for chemical production differences between the two models. We also use this approach to aid in the development of a genome-scale model of Synechococcus sp. PCC 7002. Finally, we propose potential antimicrobial targets in Mycobacterium tuberculosis and Staphylococcus aureus based on differences in their metabolic capabilities. Through these examples, we demonstrate that a gene-centric approach to comparing metabolic networks allows for a rapid comparison of metabolic models at a functional level. Using CONGA, we can identify differences in reaction and gene content which give rise to different functional predictions. Because CONGA provides a general framework, it can be applied to find functional differences across models and biological systems beyond those presented here
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