131 research outputs found

    The Influence of Meteorological Parameters and Other Factors on Soil Radon Dynamics

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    The paper presents the results of the research in the degree of the effect of space weather meteorological parameters and factors on the dynamics of soil radon levels and [alpha]- and [beta]-radiation flux densities in a seismically passive region. The cross-correlation analysis showed a significant correlation of [beta]-radiation flux density with temperature in summer, and no correlation in winter. A significant relation between [alpha]- and [beta]-radiation flux densities and pressure within the intra-annual range was not observed. The investigation of the high-intensity precipitation effect on radon volumetric activity and [alpha]- and [beta]-radiation flux densities showed their abnormal increase. The dependence of the anomaly duration on the depth was revealed. The abnormal jumps in [alpha]- and [beta]-radiation flux densities data series occur in the snow-melting periods as well. Low-intensity precipitations significantly violate the standard "diurnal variations" of [alpha]- and [beta]-radiation soil fluxes and radon volumetric activity. Fourier analysis showed the diurnal (24 hours) and semidiurnal (12 hours) harmonics for the observed radiation values at a depth of 0.5 m. The obtained results can be used for interpretation of the data on the soil radon monitoring in order to predict earthquakes, etc

    553 APPLICATION OF THE FFT ALGORITHM IN THE STRUCTURE OF THE DIGITAL ANTENNA ARRAY TO IMPROVE THE SIGNAL-NOISE RATIO

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    Abstract -This article discusses the possibility of time accumulation of a signal in the aperture of the digital antenna array using Fourier transform. This approach can increase the signal-to-noise ratio at the output of a digital beamforming. ΠŸΠ Π˜ΠœΠ•ΠΠ•ΠΠ˜Π• ΠΠ›Π“ΠžΠ Π˜Π’ΠœΠ Π‘ΠŸΠ€ Π’ Π‘Π’Π Π£ΠšΠ’Π£Π Π• Π¦Π˜Π€Π ΠžΠ’ΠžΠ™ ΠΠΠ’Π•ΠΠΠžΠ™ Π Π•Π¨ΠΠ’ΠšΠ˜ Π”Π›Π― ΠŸΠžΠ’Π«Π¨Π•ΠΠ˜Π― ΠžΠ’ΠΠžΠ¨Π•ΠΠ˜Π― Π‘Π˜Π“ΠΠΠ›-ШУМ ΠšΠΎΠ½Π΄Ρ€Π°Ρ‚ΡŒΠ΅Π²Π° Π‘. Π“., Π¨ΠΌΠ°Ρ‡ΠΈΠ»ΠΈΠ½ П. А. Московский Π°Π²ΠΈΠ°Ρ†ΠΈΠΎΠ½Π½Ρ‹ΠΉ институт (Π½Π°Ρ†ΠΈΠΎΠ½Π°Π»ΡŒΠ½Ρ‹ΠΉ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Ρ‚Π΅Π»ΡŒΡΠΊΠΈΠΉ унивСрситСт) ΠΊΠ°Ρ„Π΅Π΄Ρ€Π° Β«Π Π°Π΄ΠΈΠΎΡ„ΠΈΠ·ΠΈΠΊΠΈ, Π°Π½Ρ‚Π΅Π½Π½ ΠΈ ΠΌΠΈΠΊΡ€ΠΎΠ²ΠΎΠ»Π½ΠΎΠ²ΠΎΠΉ Ρ‚Π΅Ρ…Π½ΠΈΠΊΠΈΒ» ВолоколамскоС шоссС, 4, Москва, 125993, Россия Ρ‚Π΅Π».: +7(915) 0429422, e-mail: [email protected] Аннотация -РассмотрСна Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡ‚ΡŒ использования схСмы Π²Ρ€Π΅ΠΌΠ΅Π½Π½ΠΎΠ³ΠΎ накоплСния сигнала Π² ΠΏΡ€ΠΈΡ‘ΠΌΠΎ-ΠΏΠ΅Ρ€Π΅Π΄Π°ΡŽΡ‰ΠΈΡ… модулях Ρ†ΠΈΡ„Ρ€ΠΎΠ²ΠΎΠΉ Π°Π½Ρ‚Π΅Π½Π½ΠΎΠΉ Ρ€Π΅ΡˆΡ‘Ρ‚ΠΊΠΈ Π½Π° основС схСмы прСобразования Π€ΡƒΡ€ΡŒΠ΅ ΠΈ Ρ†ΠΈΡ„Ρ€ΠΎΠ²ΠΎΠΉ Π»ΠΈΠ½ΠΈΠΈ Π·Π°Π΄Π΅Ρ€ΠΆΠΊΠΈ. Π’Π°ΠΊΠΎΠΉ ΠΏΠΎΠ΄Ρ…ΠΎΠ΄ ΠΌΠΎ-ΠΆΠ΅Ρ‚ ΠΎΠ±Π΅ΡΠΏΠ΅Ρ‡ΠΈΡ‚ΡŒ ΠΏΠΎΠ²Ρ‹ΡˆΠ΅Π½ΠΈΠ΅ ΠΎΡ‚Π½ΠΎΡˆΠ΅Π½ΠΈΠ΅ мощности сигнала Π½Π°Π΄ ΠΌΠΎΡ‰Π½ΠΎΡΡ‚ΡŒΡŽ ΡˆΡƒΠΌΠ° Π½Π° Π²Ρ‹Ρ…ΠΎΠ΄Π΅ схСмы Ρ†ΠΈΡ„Ρ€ΠΎΠ²ΠΎΠ³ΠΎ формирования Π΄ΠΈΠ°Π³Ρ€Π°ΠΌΠΌΡ‹ направлСнности Π² спСктрС сигнала. I. Π’Π²Π΅Π΄Π΅Π½ΠΈΠ΅ ΠŸΠΎΠ²Ρ‹ΡˆΠ΅Π½ΠΈΠ΅ Ρ‚Ρ€Π΅Π±ΠΎΠ²Π°Π½ΠΈΠΉ соврСмСнных Ρ€Π°Π΄ΠΈΠΎΡ‚Π΅Ρ…-ничСских комплСксов ΠΊ Π°Π½Ρ‚Π΅Π½Π½Ρ‹ΠΌ систСмам Π΄ΠΈΠΊΡ‚ΡƒΡŽΡ‚ Π½Π΅ΠΎΠ±Ρ…ΠΎΠ΄ΠΈΠΌΠΎΡΡ‚ΡŒ примСнСния Π°ΠΊΡ‚ΠΈΠ²Π½Ρ‹Ρ… ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠ² ΠΎΠ±Ρ€Π°-Π±ΠΎΡ‚ΠΊΠΈ сигнала ΠΊΠ°ΠΊ Π² ΠΏΡ€ΠΈΡ‘ΠΌΠ½ΠΎΠΌ, Ρ‚Π°ΠΊ ΠΈ Π² ΠΏΠ΅Ρ€Π΅Π΄Π°ΡŽΡ‰Π΅ΠΌ ΠΊΠ°Π½Π°Π»Π°Ρ…. Одним ΠΈΠ· Π²Π°Ρ€ΠΈΠ°Π½Ρ‚ΠΎΠ² Ρ€Π΅ΡˆΠ΅Π½ΠΈΡ Π·Π°Π΄Π°Ρ‡ΠΈ ΠΊΠΎΠ½-струирования Ρ‚Π°ΠΊΠΎΠΉ систСмы ΠΌΠΎΠΆΠ΅Ρ‚ Π±Ρ‹Ρ‚ΡŒ ΠΏΡ€ΠΈΠΌΠ΅Π½Π΅-Π½ΠΈΠ΅ Ρ†ΠΈΡ„Ρ€ΠΎΠ²ΠΎΠΉ ΠΎΠ±Ρ€Π°Π±ΠΎΡ‚ΠΊΠΈ сигнала Π½Π° ΡƒΡ€ΠΎΠ²Π½Π΅ Π°Π½Ρ‚Π΅Π½Π½ΠΎ-Π³ΠΎ ΠΏΠΎΠ»ΠΎΡ‚Π½Π° АЀАР. ΠŸΡ€ΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠ² Ρ†ΠΈΡ„Ρ€ΠΎΠ²ΠΎΠ³ΠΎ синтСза Π΄ΠΈΠ°-Π³Ρ€Π°ΠΌΠΌΡ‹ направлСнности Π΄Π°ΡŽΡ‚ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡ‚ΡŒ исполь-Π·ΠΎΠ²Π°Ρ‚ΡŒ Π½Π΅Π»ΠΈΠ½Π΅ΠΉΠ½Ρ‹Π΅ прСобразования для ΠΏΠΎΠ²Ρ‹ΡˆΠ΅Π½ΠΈΡ Π½Π°ΠΏΡ€Π°Π²Π»Π΅Π½Π½Ρ‹Ρ… свойств ΠΏΡ€ΠΈΡ‘ΠΌΠ½Ρ‹Ρ… систСм. Но Ρ‚Π°ΠΊΠΈΠ΅ Π°Π»Π³ΠΎΡ€ΠΈΡ‚ΠΌΡ‹ достаточно Ρ‡ΡƒΠ²ΡΡ‚Π²ΠΈΡ‚Π΅Π»ΡŒΠ½Ρ‹ ΠΊ ΡˆΡƒΠΌΠ°ΠΌ ΠΈ ΠΏΠΎ-ΠΌΠ΅Ρ…Π°ΠΌ. Π’ связи с этим Π²ΠΎΠ·Π½ΠΈΠΊΠ°Π΅Ρ‚ Π·Π°Π΄Π°Ρ‡Π° ΠΏΠΎΠ²Ρ‹ΡˆΠ΅Π½ΠΈΡ ΠΎΡ‚Π½ΠΎΡˆΠ΅Π½ΠΈΡ мощности сигнала ΠΊ мощности ΡˆΡƒΠΌΠ° (ΠΎΡ‚-ношСния с/ш) Π² ΠΏΠΎΠ»ΠΎΡ‚Π½Π΅ Π°Π½Ρ‚Π΅Π½Π½ΠΎΠΉ Ρ€Π΅ΡˆΡ‘Ρ‚ΠΊΠΈ (АР). ΠŸΠΎΠ²Ρ‹ΡˆΠ΅Π½ΠΈΠ΅ ΠΎΡ‚Π½ΠΎΡˆΠ΅Π½ΠΈΡ сигнал/ΡˆΡƒΠΌ (сиг-Π½Π°Π»/ΠΏΠΎΠΌΠ΅Ρ…Π°) Π½Π° Π²Ρ‹Ρ…ΠΎΠ΄Π΅ Π°Π½Ρ‚Π΅Π½Π½ΠΎΠΉ систСмы Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎ Π·Π° счёт пространствСнного, ΠΈΠ»ΠΈ Π²Ρ€Π΅ΠΌΠ΅Π½Π½ΠΎΠ³ΠΎ Π½Π°ΠΊΠΎΠΏΠ»Π΅-ния сигнала. II. Основная Ρ‡Π°ΡΡ‚ΡŒ Π‘ΠΈΠ³Π½Π°Π» Π² ΠΏΡ€ΠΈΡ‘ΠΌΠ½ΠΎΠΉ Ρ†ΠΈΡ„Ρ€ΠΎΠ²ΠΎΠΉ Π°Π½Ρ‚Π΅Π½Π½ΠΎΠΉ Ρ€Π΅ΡˆΡ‘Ρ‚ΠΊΠ΅ (ЦАР) ΠΌΠΎΠΆΠ΅Ρ‚ Π±Ρ‹Ρ‚ΡŒ ΠΏΡ€Π΅ΠΎΠ±Ρ€Π°Π·ΠΎΠ²Π°Π½ Π² Ρ†ΠΈΡ„Ρ€ΠΎΠ²ΡƒΡŽ Ρ„ΠΎΡ€ΠΌΡƒ нСпосрСдствСнно Π² ΠΏΠΎΠ»ΠΎΡ‚Π½Π΅ АР, Π² Π΅Ρ‘ ΠΏΡ€ΠΈΡ‘ΠΌΠΎ-ΠΏΠ΅Ρ€Π΅Π΄Π°ΡŽΡ‰ΠΈΡ… модулях (ППМ). ΠŸΡ€ΠΈ этом структура ΠΏΡ€ΠΈΡ‘ΠΌΠ½ΠΎΠ³ΠΎ Ρ‚Ρ€Π°ΠΊΡ‚Π° ППМ состоит ΠΈΠ· ΠΏΠΎΡΠ»Π΅Π΄ΠΎΠ²Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎ Π²ΠΊΠ»ΡŽΡ‡Ρ‘Π½Π½Ρ‹Ρ… ΠΌΠ°Π»ΠΎΡˆΡƒΠΌΡΡ‰Π΅Π³ΠΎ усилитСля (МШУ), Π°Π½Π°-Π»ΠΎΠ³ΠΎ-Ρ†ΠΈΡ„Ρ€ΠΎΠ²ΠΎΠ³ΠΎ прСобразоватСля (АЦП) ΠΈ Π±ΡƒΡ„Π΅Ρ€Π½ΠΎΠ³ΠΎ рСгистра (Π Π“) рис. 1. Π‘ΡƒΡ„Π΅Ρ€Π½Ρ‹ΠΉ рСгистр Π½Π΅ΠΎΠ±Ρ…ΠΎΠ΄ΠΈΠΌ для накоплСния Π²Ρ‹Π±ΠΎΡ€ΠΊΠΈ Ρ†ΠΈΡ„Ρ€ΠΎΠ²ΠΎΠ³ΠΎ сигнала для дальнСйшСй ΠΏΠ΅Ρ€Π΅-Π΄Π°Ρ‡ΠΈ Π΅Ρ‘ Π² схСму Ρ†ΠΈΡ„Ρ€ΠΎΠ²ΠΎΠ³ΠΎ диаграммообразования (Π¦Π”Πž). ΠŸΡ€ΠΈ этом ΠΊΠ°ΠΆΠ΄Ρ‹ΠΉ элСмСнт Π²Ρ‹Π±ΠΎΡ€ΠΊΠΈ прСдстав-ляСт собой Π·Π½Π°Ρ‡Π΅Π½ΠΈΠ΅ Π°ΠΌΠΏΠ»ΠΈΡ‚ΡƒΠ΄Ρ‹ Π²Ρ…ΠΎΠ΄Π½ΠΎΠ³ΠΎ сигнала Π² ΡΠΎΠΎΡ‚Π²Π΅Ρ‚ΡΡ‚Π²ΡƒΡŽΡ‰ΠΈΠΉ ΠΌΠΎΠΌΠ΅Π½Ρ‚ Π²Ρ€Π΅ΠΌΠ΅Π½ΠΈ. Рис. 1. Π‘Ρ‚Ρ€ΡƒΠΊΡ‚ΡƒΡ€Π° ΠΏΡ€ΠΈΡ‘ΠΌΠ½ΠΎΠ³ΠΎ ΠΊΠ°Π½Π°Π»Π° ЦАР. Fig. 1. Digital arrays receiver channel structure ΠžΡΠΎΠ±Π΅Π½Π½ΠΎΡΡ‚ΡŒΡŽ Ρ†ΠΈΡ„Ρ€ΠΎΠ²ΠΎΠΉ ΠΎΠ±Ρ€Π°Π±ΠΎΡ‚ΠΊΠΈ сигнала, Π² ΠΎΡ‚Π»ΠΈΡ‡ΠΈΠΈ ΠΎΡ‚ Π°Π½Π°Π»ΠΎΠ³ΠΎΠ²Ρ‹Ρ… ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠ², являСтся Π²ΠΎΠ·ΠΌΠΎΠΆ-Π½ΠΎΡΡ‚ΡŒ ΠΎΡΡƒΡ‰Π΅ΡΡ‚Π²Π»ΡΡ‚ΡŒ Ρ€Π°Π·Π²Π΅Ρ‚Π²Π»Π΅Π½ΠΈΠ΅ (Π΄Π΅Π»Π΅Π½ΠΈΠ΅) сигнала Π½Π° нСсколько ΠΊΠ°Π½Π°Π»ΠΎΠ² Π±Π΅Π· ΠΏΠΎΡ‚Π΅Ρ€ΠΈ Π΅Π³ΠΎ мощности Π² схСмС дСлСния. Данная ΠΎΡΠΎΠ±Π΅Π½Π½ΠΎΡΡ‚ΡŒ Π΄Π°Ρ‘Ρ‚ Π²ΠΎΠ·ΠΌΠΎΠΆ-Π½ΠΎΡΡ‚ΡŒ ΠΎΡΡƒΡ‰Π΅ΡΡ‚Π²ΠΈΡ‚ΡŒ Π²Ρ€Π΅ΠΌΠ΅Π½Π½ΠΎΠ΅ Π½Π°ΠΊΠΎΠΏΠ»Π΅Π½ΠΈΠ΅ Ρ†ΠΈΡ„Ρ€ΠΎΠ²ΠΎ-Π³ΠΎ сигнала Π² ΠΊΠ°ΠΆΠ΄ΠΎΠΌ ΠΈΠ· ППМ ЦАР Π·Π° врСмя Ρ„ΠΎΡ€ΠΌΠΈΡ€ΠΎ-вания Π²Ρ‹Π±ΠΎΡ€ΠΊΠΈ Ρ†ΠΈΡ„Ρ€ΠΎΠ²ΠΎΠ³ΠΎ сигнала. Π’ этом случаС трСбуСтся минимальная модификация ΠΏΡ€ΠΈΡ‘ΠΌΠ½ΠΎΠ³ΠΎ Ρ†ΠΈΡ„Ρ€ΠΎΠ²ΠΎΠ³ΠΎ ΠΊΠ°Π½Π°Π»Π° ППМ ЦАР: Π½Π΅ΠΎΠ±Ρ…ΠΎΠ΄ΠΈΠΌΠΎ Π±ΡƒΡ„Π΅Ρ€Π½ΠΎΠ΅ устройство формирования Π²Ρ‹Π±ΠΎΡ€ΠΊΠΈ Ρ†ΠΈΡ„Ρ€ΠΎΠ²ΠΎΠ³ΠΎ сиг-Π½Π°Π»Π° Π·Π°ΠΌΠ΅Π½ΠΈΡ‚ΡŒ Π½Π° Ρ†ΠΈΡ„Ρ€ΠΎΠ²ΡƒΡŽ линию Π·Π°Π΄Π΅Ρ€ΠΆΠΊΠΈ, Π»ΠΈΠ±ΠΎ сдвиговый рСгистр. Π’Π°ΠΊΠΈΠΌ ΠΎΠ±Ρ€Π°Π·ΠΎΠΌ Π² рСгистрС Π±ΡƒΠ΄Π΅Ρ‚ ΡΡƒΡ‰Π΅ΡΡ‚Π²ΠΎΠ²Π°Ρ‚ΡŒ ΡΠΊΠΎΠ»ΡŒΠ·ΡΡ‰Π°Ρ Π²Ρ‹Π±ΠΎΡ€ΠΊΠ° принятого Ρ†ΠΈΡ„-Ρ€ΠΎΠ²ΠΎΠ³ΠΎ сигнала, элСмСнты ΠΊΠΎΡ‚ΠΎΡ€ΠΎΠΉ ΠΌΠΎΠΆΠ½ΠΎ суммиро-Π²Π°Ρ‚ΡŒ с Ρ„Π°Π·ΠΎΠ²Ρ‹ΠΌΠΈ сдвигами рис. 2. Рис. 2. Π‘Ρ‚Ρ€ΡƒΠΊΡ‚ΡƒΡ€Π° ЦАР с Π½Π°ΠΊΠΎΠΏΠ»Π΅Π½ΠΈΠ΅ΠΌ сигнала

    Heisenberg Evolution WKB and Symplectic Area Phases

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    The Schrodinger and Heisenberg evolution operators are represented in quantum phase space by their Weyl symbols. Their semiclassical approximations are constructed in the short and long time regimes. For both evolution problems, the WKB representation is purely geometrical: the amplitudes are functions of a Poisson bracket and the phase is the symplectic area of a region in phase space bounded by trajectories and chords. A unified approach to the Schrodinger and Heisenberg semiclassical evolutions is developed by introducing an extended phase space. In this setting Maslov's pseudodifferential operator version of WKB analysis applies and represents these two problems via a common higher dimensional Schrodinger evolution, but with different extended Hamiltonians. The evolution of a Lagrangian manifold in the extended phase space, defined by initial data, controls the phase, amplitude and caustic behavior. The symplectic area phases arise as a solution of a boundary condition problem. Various applications and examples are considered.Comment: 32 pages, 7 figure

    Iterative Methods for Visualization of Implicit Surfaces on GPU

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    The original publication is available at www.springerlink.comInternational audienceThe ray-casting of implicit surfaces on GPU has been explored in the last few years. However, until recently, they were restricted to second degree (quadrics). We present an iterative solution to ray cast cubics and quartics on GPU. Our solution targets efficient implementation, obtaining interactive rendering for thousands of surfaces per frame. We have given special attention to torus rendering since it is a useful shape for multiple CAD models. We have tested four different iterative methods, including a novel one, comparing them with classical tessellation solution

    Social networking as an advertising tool in Russia and abroad

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    This study contrasts the behavioural patterns of users on Facebook with those on VKontakte using data collected by Facebook and a survey of Russian VKontakte users. The authors analyse the key differences between the two popular social networks, including what users perceived to be the most attractive options, the amount of time spent online and attitudes toward advertising. The results have been used to evaluate the potential of social networks (SMM) for business promotion in Russia

    Training Higher School Students in Rapid Prototyping Technology as a Final Stage of Their Preparation for Innovative Activities

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    Introduction. The methodological systems of preparation for innovative engineering activity involve the involvement of students in all stages of the innovation cycle, including obtaining an intangible innovative product. However, the inability to obtain in students a material innovative product reduces the effectiveness of the preparation of these systems. The purpose of this study is to create a methodical system for preparing students for innovative research activities based on their involvement in all stages of obtaining a material innovative product using additive technologies. Materials and Methods. For writing the article the authors used the main points of the integrated approach to learning (integration of theoretical and practical training of innovative research activities and interdisciplinary integration of various branches of science (pedagogy, mathematical modeling, 3D modeling, additive technologies, innovation). Results. The methodical system of training students of technical higher education institution has been created and implemented, ensuring their involvement in all stages of the innovation cycle due to the use of rapid prototyping technologies. The effectiveness of technologies is confirmed by the results of the pedagogical experiment. Discussion and Conclusions. The performed researches allowed to create a methodical system for training students of technical universities of innovative research activities based on rapid prototyping technologies. This method significantly improves the effectiveness of training. It ensures the participation of students in all stages of obtaining a material innovative product: during the study of the course, and during classroom sessions. This method was developed and tested for the implementation at National Research Ogarev Mordovia State University. It provides the practical significance of the study considered in the article. Further development of the material presented in the article can be related to the expansion of the infrastructure of the Rapid Pro university center for designing and prototyping and attracting students to manufacturing industrial products

    Development of Creative Abilities of Primary Schoolchildren in the Process of Primary School Education

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    Π’ ΡΡ‚Π°Ρ‚ΡŒΠ΅ ΠΏΡ€ΠΎΠ²Π΅Π΄Π΅Π½ Π°Π½Π°Π»ΠΈΠ· развития творчСских способностСй ΠΌΠ»Π°Π΄ΡˆΠΈΡ… школьников посрСдством ΠΈΠ·ΠΎΠ±Ρ€Π°Π·ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΠΉ Π΄Π΅ΡΡ‚Π΅Π»ΡŒΠ½ΠΎΡΡ‚ΠΈ. Анализированы мнСния, ΠΏΠΎΠ΄Ρ…ΠΎΠ΄Ρ‹ ΡƒΡ‡Π΅Π½Ρ‹Ρ… ΠΏΠΎ Π΄Π°Π½Π½ΠΎΠΉ ΠΏΡ€ΠΎΠ±Π»Π΅ΠΌΠ΅. ΠŸΡ€Π΅Π΄ΡΡ‚Π°Π²Π»Π΅Π½Π½Ρ‹ΠΉ ΠΌΠ°Ρ‚Π΅Ρ€ΠΈΠ°Π» ΠΌΠΎΠΆΠ½ΠΎ ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΠΎΠ²Π°Ρ‚ΡŒ Π² качСствС дСмонстрации Ρ€Π΅Π°Π»ΠΈΠ·Π°Ρ†ΠΈΠΈ систСмы раскрытия творчСского ΠΏΠΎΡ‚Π΅Π½Ρ†ΠΈΠ°Π»Π° учащихся, Π° Ρ‚Π°ΠΊΠΆΠ΅ Π² качСствС источника цитирования.The article analyzes the development of the creative abilities of primary schoolchildren through visual activity. The opinions and approaches of scientists on this problem are analyzed. The presented material can be used as a demonstration of the implementation of the system for unlocking the creative potential of students, as well as as a source of citation
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