Institution
Uzhhorod National University
Education•Uzhhorod, Ukraine•
About: Uzhhorod National University is a education organization based out in Uzhhorod, Ukraine. It is known for research contribution in the topics: Raman spectroscopy & Laser. The organization has 1089 authors who have published 1056 publications receiving 5187 citations. The organization is also known as: State Higher Education Establishment "Uzhhorod National University" & Uzhhorod State University.
Topics: Raman spectroscopy, Laser, Absorption edge, Population, Glow discharge
Papers published on a yearly basis
Papers
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TL;DR: In this article, the optical characteristics of a UV broadband lamp that was excited by a longitudinal glow discharge and operated on Kr-Br2-I2, Xe-Br 2 I2, and Kr-Xe I2 mixtures are investigated.
Abstract: The optical characteristics of a UV broadband lamp that was excited by a longitudinal glow discharge and operated on Kr—Br2—I2, Xe—Br2—I2, and Kr—Xe—Br2—I2 mixtures are investigated. The interelectrode spacing in the lamp is 10 cm, the inner diameter of a discharge tube being 14 mm. The current-voltage characteristics, the emission spectra of the plasma, and the dependence of the intensity of spectral lines (the amplitude of radiation bands) on the power that was pumped into the plasma based on mixtures of various compositions and pressures, as well as the radiation power in the spectral range from 200 to 390 nm, are studied.
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01 May 2020••
TL;DR: The obtained results allow to develop efficient methods of synthesis of integer-valued generalized neural elements with a large number of inputs that can be successfully applied in solving information compression and transmission problems, as well as discrete signal recognition problems.
Abstract: This paper considers generalized neural elements and identifies the conditions for implementation of functions of algebra of logic from these elements. We introduce the concept of a modified core of Boolean functions with respect to the system of characters of a group on which functions of algebra of logic are given. The criteria of belonging these functions to the class of generalized neurofunctions are provided. The algebraic structure of cores of Boolean neurofunctions is studied. On the basis of properties of tolerance matrices, a number of necessary conditions for implementation of Boolean functions by one generalized neural element are obtained. The obtained results allow to develop efficient methods of synthesis of integer-valued generalized neural elements with a large number of inputs that can be successfully applied in solving information compression and transmission problems, as well as discrete signal recognition problems.
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01 Dec 201919 Apr 2016
TL;DR: In this paper, structural change component of thymus white rats under the influence of 2 and 4-week exposure nalbuphine on the body was presented. And the changes in the relative areas of cortex and medulla, cortical-cerebral index, the thickness of the connective tissue capsule, the number of lymphocytes per unit area in the cortex and the medulla of the male rat reproductive age.
Abstract: The article presents research data structural change component particles thymus white rats under the influence of 2 and 4-week exposure nalbuphine on the body. Dynamics of changes in the relative areas of cortex and medulla, cortical-cerebral index, the thickness of the connective tissue capsule, the number of lymphocytes per unit area in the cortex and medulla of the thymus white male rat reproductive age. In the lobules of the thymus increases the relative area of cortical substance, is reduced relative size of the medulla, as evidenced by the growth of cortical-brain index, increases the thickness of the capsule increases the number of lymphocytes in the cortex reduces the number of lymphocytes in the medulla.
Authors
Showing all 1111 results
Name | H-index | Papers | Citations |
---|---|---|---|
Taras K. Oleksyk | 23 | 48 | 15988 |
Sergey Dub | 21 | 143 | 1571 |
Ihor Studenyak | 19 | 111 | 994 |
Alexander A. Grabar | 18 | 59 | 1044 |
Yu. M. Vysochanskii | 18 | 145 | 1305 |
Yulian M. Vysochanskii | 17 | 51 | 874 |
Yu. M. Azhniuk | 15 | 54 | 653 |
M. L. Trunov | 15 | 25 | 511 |
Yevhen Hotko | 14 | 21 | 1830 |
Denys I. Bondar | 13 | 102 | 614 |
Vasyl Sidey | 13 | 44 | 416 |
Roman Holomb | 13 | 39 | 775 |
A.V. Gomonnai | 13 | 25 | 361 |
V. V. Pan'ko | 12 | 26 | 331 |
Ivan Salamon | 12 | 71 | 590 |