205 research outputs found
Electronic spectroscopy of carbon chain radicals using cw cavity ring down in conjunction with mass detection
The electronic absorption spectrum of the 2A'' − X 2A'' origin band of the
nonlinear carbon chain radical C6H4
+ was rotationally resolved by cw-CRD
spectroscopy [41]. It was analysed using a least-squares method and the rotational
constants of the ground and excited states were determined accurately. The 581 nm
band observed under the same discharge conditions is assigned to the same electronic
transition of C6H4
+ but involving the excitation of the ν12 vibrational mode in the
upper state based on comparison with ab initio results. The presented data provide a
basis for future observations of the C6H4
+ radical in both millimeter and infrared
regions.
A linear time-of-flight mass spectrometer was constructed to provide on-line
monitoring of the plasma discharge with a mass resolution of 1 amu at a range up to
120 amu. The results from the acetylene/helium plasma discharge are in good
agreement with those obtained using the reflectron TOF mass spectrometer and a
similar ion source [42]. To improve the experimental set-up, the following
modifications can be made:
• Transferring the signal from the oscilloscope directly to a PC via a
GPIB card will increase the speed of data processing;
• Computer control of the voltage applied will make the spectrometer
easier to operate;
• Using a metal grid at ground potential in front of MCP detector will
increase the flight time of ions improving the mass resolution;
• Installing a focusing lens will increase the number of ions arriving at
the detector, and therefore increase the signal on the oscilloscope
A second greek account of the revolution of a) Pseudo-Dmitriy (Russia, 1605-1606) : Codex Iviron 710, ff. 100rv
The author publishes, with commentary and english translation, the text of the Διήγησις περ'ι τής έν ’Ρωσία έπαναστάσεως τοϋ ψενδο - Δημητρίον (An account of the revolution of pseudo-Dmitriy, untitled), Codex Iviron 710, ff. 100rv, which recounts certain events relating to the activity ofthe first pseudoDmitriy (1605-1606)
Розробка програмного засобу для прогнозування вступу абітурієнтів до закладів вищої освіти
The article highlights the problems of forecasting the entrance of university entrants into higher education institutions in connection with the constant fluctuations of the labor market and socio-demographic processes, which completely violate the results of the predictions of classical statistical methods, therefore the author studies the necessity of developing a software tool for forecasting the entrance of entrants to higher education institutions , which will operate on the basis of the neural network and will be able to adapt to the conditions of constant chaotic oscillations. The author emphasizes that neural networks are a modern and leading area of research and program development, and proves that the use of neural networks in the prediction of educational processes will allow obtaining results with a much higher level of accuracy and less time. The article contains analysis of theoretical information about neural networks and analysis of existing algorithms of neural networks operation. The author mentions the advantages and disadvantages of each algorithm, provides a comparative analysis and concludes that it is expedient to use each of the methods in a software tool for forecasting the entrance of entrants to higher education institutions. In the course of the work, the author carried out software modelling of the various methods of teaching neural networks, conducted testing, received and disclosed the results of each method, carried out an analysis of their actual effectiveness in predicting small and large volumes of information with different inputs and made the conclusion that the expediency of their use in the future software. The mathematical features of the construction of neural networks, their training and further use are revealed, the basic requirements for the future of the software product, namely the method of work, input data, the method of displaying the results and the layout of the future software, are revealed. The main blocks of the software for forecasting the entrance of entrants to higher education institutions are shown. It was concluded that it is expedient to use neural networks and work on a software tool for forecasting the entrance of entrants to higher educational institutions has been started, vectors of further researches and developments have been selected.В статье освещена проблема прогнозирования поступления абитуриентов в учреждения высшего образования в связи с постоянным колебанием рынка труда и социально-демографическими процессами, которые полностью нарушают результаты прогнозов, полученных с помощью классических статистических методов. Авторы исследуют необходимость разработки программного продукта для прогнозирования поступления абитуриентов в учреждения высшего образования, который будет работать на основе нейронной сети с возможностью адаптации к условиям постоянных хаотических колебаний. Авторы доказывают, что использование нейронных сетей в вопросах прогнозирования образовательных процессов позволит получить результаты с гораздо более высоким уровнем точности и меньшими затратами времени. Статья содержит анализ теоретических сведений о нейронных сетях и существующих алгоритмах их работы. Авторы приводят преимущества и недостатки каждого метода и на основе сравнительного анализа делают вывод о целесообразности использования каждого из методов в программном средстве прогнозирования поступления абитуриентов в учреждения высшего образования.У статті висвітлено проблему прогнозування вступу абітурієнтів до закладів вищої освіти у зв’язку з постійним коливанням ринку праці та соціально-демографічними процесами, які повністю порушують результати прогнозів класичних статистичних методів. Автори досліджують необхідність розробки програмного засобу для прогнозування вступу абітурієнтів до закладів вищої освіти, який працюватиме на основі нейронної мережі і матиме змогу адаптації до умов постійних хаотичних коливань. Автори доводять, що використання нейронних мереж у питаннях прогнозування освітніх процесів дозволить отримати результати з набагато вищим рівнем точності та меншими витратами часу. Стаття містить аналіз теоретичних відомостей про нейронні мережі та існуючих алгоритмів роботи нейронних мереж. Автори наводять переваги та недоліки кожного алгоритму і на основі порівняльного аналізу роблять висновок про доцільність використання кожного з методів у програмному засобі прогнозування вступу абітурієнтів до закладів вищої освіти
OCCASIONAL ONOMASTICON OF A CYCLE OF NOVELS ABOUT TANYA GROTTER BY DMITRIY EMETS AS A LINGUOCULTURAL PHENOMENON
This article discusses the specificity of occasional onomasticon in the cycle of novels
by Dmitriy Emets (b. 1974) featuring Tanya Grotter, which is an outstanding example
of fantasy literature, playing an important role in the modern cultural space, and
targeted mainly at children and teenagers. It has been established that while creating
the onomastic space of the cycle the author draws parallels with J. Rowling’s novels
about Harry Potter and forms onyms – occasionalisms based on the precedent names
(folk, mythological, religious, literary, and historical), foreign language vocabulary,
phraseology, etc. The desire to comprehend the author’s intention and to understand the
characteristics presented in onyms not only motivates readers to expand their horizon,
but also engages them in cross-cultural communication
Book of Abstracts of the Minisymposium on Publicly Available Geometric/Topological Software
Non-commutative differentiation and estimates on operator integrals
In 2017 Martijn Caspers, Fedor Sukochev and Dmitriy Zanin published a paper which generalises the proof of Davies' 1988 paper, and thus resolves the Nazarov-Peller conjecture. The proofs of these papers have been presented in this thesis. They have been expanded with a proof that generalises the conjecture to arbitrary Schatten classes. The optimality of the estimates in the conjecture is also studied, following the example of the 2016 paper by Coine et al. In addition, the quantum mechanical context is provided to interpret the presented results.Applied Mathematic
DEVELOPMENT OF E-GOVERNMENT: THE EU AND RUSSIA EXPERIENCE IN COMPARATIVE PERSPECTIVE
This paper is dedicated to research of different aspects of development of eGovernment mechanisms. Activities and state of play in the sphere within the European Union and the Russian Federation have been analyzed and compared by the author.
The author paid particular attention to the process of implementation of relevant EU legislation in the legal systems of EU Member States. To illustrate the process was chosen Ireland. The paper considers main Russian legal instruments for development of the eGovernment concept. The author outlines existing obstacles and proposes some ways to overcome them
Weak (1,1) estimates for multiple operator integrals and generalized absolute value functions
Consider the generalized absolute value function defined by a(t) = | t| tn−1, t∈ ℝ, n∈ ℕ≥ 1. Further, consider the n-th order divided difference function a[n]: ℝn+1 → ℂ and let 1 < p1, …, pn < ∞ be such that ∑l=1npl−1=1. Let Spl denote the Schatten-von Neumann ideals and let S1,∞ denote the weak trace class ideal. We show that for any (n + 1)-tuple A of bounded self-adjoint operators the multiple operator integral Ta[n]A maps Sp1×⋯×Spn to S1,∞ boundedly with uniform bound in A. The same is true for the class of Cn+1-functions that outside the interval [−1, 1] equal a. In [CLPST16] it was proved that for a function {atf} in this class such boundedness of Tf[n]A from Sp1×⋯×Spn to S1 may fail, resolving a problem by V. Peller. This shows that the estimates in the current paper are optimal. The proof is based on a new reduction method for arbitrary multiple operator integrals of divided differences.Accepted author manuscriptAnalysi
Cooperation between the EU and Central Asia countries in the education field.
This master’s thesis describes the process of building consistent relationship in terms of education cooperation between two regions: European Union and Central Asia, both actors are interested in further developing of bilateral relations what shown in the list of Agreements and adopted documents of European Commission, National Offices of Programs Erasmus+ and Tempus. Starting from the aspiration of Central Asian countries to be included in Bologna Process in 1999 till present days’ sharing experiences and knowledge travel through the world effectively. Using the method of original empirical study with conducted qualitative, quantitative and mixed research. Thanks to gathered opinions of the conducted research – the survey and the interviews – the author was able to work with primary data from students and their insights were implemented in testing the efficiency of existing programs. In conclusion the benefits of long-term cooperation were estimated, and fruits of this cooperation is analyzed.This master’s thesis describes the process of building consistent relationship in terms of education cooperation between two regions: European Union and Central Asia, both actors are interested in further developing of bilateral relations what shown in the list of Agreements and adopted documents of European Commission, National Offices of Programs Erasmus+ and Tempus. Starting from the aspiration of Central Asian countries to be included in Bologna Process in 1999 till present days’ sharing experiences and knowledge travel through the world effectively. Using the method of original empirical study with conducted qualitative, quantitative and mixed research. Thanks to gathered opinions of the conducted research – the survey and the interviews – the author was able to work with primary data from students and their insights were implemented in testing the efficiency of existing programs. In conclusion the benefits of long-term cooperation were estimated, and fruits of this cooperation is analyzed
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