46 research outputs found

    Giant popliteal artery aneurysm

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    Introduction: Popliteal artery aneurysm is a pathology that appears regularly in daily practice of a vascular surgeon since the popliteal artery is the most common location of aneurysms (about 70%). A rare form of aneurysm of the popliteal artery is a giant aneurysm, the diameter of which is more than 7–8 cm. Giant aneurysms are of a great clinical importance due to the high risk of rupture and complications, and the fact that this pathology has its own peculiarities of surgical treatment.Material and methods: We conducted an electronic bibliographic search Pubmed, Cochrane Library, Wiley to find reports about treatment of giant popliteal aneurysms. According to its results the main features of the clinical picture, diagnosis and treatment of giant popliteal aneurysms have been identified.Results and discussion: Surgical treatment of giant popliteal artery aneurysms differs from the treatment of regular popliteal artery aneurysms and is associated with the choice of adequate access and the need for partial or full resection of the aneurysm. Endovascular treatment methods are used much less frequently, however, with the improvement of techniques and the emergence of new technologies, an increase in number of giant aneurysms successful treatment cases is expected

    Π§Π΅Ρ‚Ρ‹Ρ€Π΅ ΠΊΠ»Π΅Ρ‚ΠΎΡ‡Π½ΠΎ-Π°Π²Ρ‚ΠΎΠΌΠ°Ρ‚Π½Ρ‹Ρ… Π°Π»Π³ΠΎΡ€ΠΈΡ‚ΠΌΠ° ΠΏΠ΅Ρ€ΠΌΡƒΡ‚Π°Ρ†ΠΈΠΉ ΠΌΠ°Ρ‚Ρ€ΠΈΡ†

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    Numerical calculation uses to describe the operation of matrix permutation algorithms based on cyclic shifts of rows and columns. This choice of discrete transformation algorithms justified by the convenience of the cellular automaton (CA) formulation, which is used. Obtained Empirical formulas for the permutation period and for the last algorithm, which period formula is recurrent. For a base scheme period has the asymptotics: Β for a matrix Β with pairwise different elements. Despite the complexity of the scheme, the other two modifications only give a polynomial growth of period, no higher than 3. Fourth scheme has a non-trivial period dependence, but no higher than the exponential. In some cases algorithms make special permutations: rotate, reflect, and rearrange blocks for the matrix . These formulas are closely related to individual cells paths. And paths connected with the influence of the boundaries that gives branching the matrix order by subtraction class modulo 3,4 or 12. Visualizations of these paths make in the extended CA-field. Two "mixing metrics" analyze as a parameter of CA dynamics on matrix permutations (compared to the initial). For all schemes and most branches, the behavior of these metrics shows in graphs and histograms (conditional density distribution) showing how often the permutation period occurs with the specified interval of metrics. The practical aim of this work is in the field of pseudorandom number generation and cryptography.Π‘ ΠΏΠΎΠΌΠΎΡ‰ΡŒΡŽ числСнного расчСта описываСтся Ρ€Π°Π±ΠΎΡ‚Π° Π°Π»Π³ΠΎΡ€ΠΈΡ‚ΠΌΠΎΠ² ΠΏΠ΅Ρ€ΠΌΡƒΡ‚Π°Ρ†ΠΈΠΉ ΠΌΠ°Ρ‚Ρ€ΠΈΡ†, основанных Π½Π° цикличСских сдвигах строк ΠΈ столбцов. Π’Π°ΠΊΠΎΠΉ Π²Ρ‹Π±ΠΎΡ€ Π°Π»Π³ΠΎΡ€ΠΈΡ‚ΠΌΠΎΠ² дискрСтного прСобразования обоснован удобством ΠΊΠ»Π΅Ρ‚ΠΎΡ‡Π½ΠΎ-Π°Π²Ρ‚ΠΎΠΌΠ°Ρ‚Π½Ρ‹Ρ… Ρ„ΠΎΡ€ΠΌΡƒΠ»ΠΈΡ€ΠΎΠ²ΠΎΠΊ, ΠΊΠΎΡ‚ΠΎΡ€Ρ‹Π΅ ΠΈ приводятся. ΠŸΠΎΠ»ΡƒΡ‡Π΅Π½Ρ‹ эмпиричСскиС Ρ„ΠΎΡ€ΠΌΡƒΠ»Ρ‹ для ΠΏΠ΅Ρ€ΠΈΠΎΠ΄Π° ΠΏΠ΅Ρ€ΠΌΡƒΡ‚Π°Ρ†ΠΈΠΉ; для послСднСго Π°Π»Π³ΠΎΡ€ΠΈΡ‚ΠΌΠ° Ρ„ΠΎΡ€ΠΌΡƒΠ»Π° ΠΏΠ΅Ρ€ΠΈΠΎΠ΄Π° носит Ρ€Π΅ΠΊΡƒΡ€Ρ€Π΅Π½Ρ‚Π½Ρ‹ΠΉ Ρ…Π°Ρ€Π°ΠΊΡ‚Π΅Ρ€. Для Π±Π°Π·ΠΎΠ²ΠΎΠΉ ΠΈ Π½Π°ΠΈΠ±ΠΎΠ»Π΅Π΅ простой схСмы ΠΏΠ΅Ρ€ΠΈΠΎΠ΄ N(n) ΠΈΠΌΠ΅Π΅Ρ‚ асимптотику exp(2n)/n для ΠΌΠ°Ρ‚Ρ€ΠΈΡ†Ρ‹ nxn с ΠΏΠΎΠΏΠ°Ρ€Π½ΠΎ Ρ€Π°Π·Π»ΠΈΡ‡Π½Ρ‹ΠΌΠΈ элСмСнтами. НСсмотря Π½Π° услоТнСниС схСмы Π°Π»Π³ΠΎΡ€ΠΈΡ‚ΠΌΠ°, Π΄Π²Π΅ Π΄Ρ€ΡƒΠ³ΠΈΠ΅ ΠΌΠΎΠ΄ΠΈΡ„ΠΈΠΊΠ°Ρ†ΠΈΠΈ Π΄Π°ΡŽΡ‚ лишь ΠΏΠΎΠ»ΠΈΠ½ΠΎΠΌΠΈΠ°Π»ΡŒΠ½Ρ‹ΠΉ рост стСпСни Π½Π΅ Π²Ρ‹ΡˆΠ΅ 3. ЧСтвСртая схСма ΠΈΠΌΠ΅Π΅Ρ‚ Π½Π΅Ρ‚Ρ€ΠΈΠ²ΠΈΠ°Π»ΡŒΠ½ΡƒΡŽ Π·Π°Π²ΠΈΡΠΈΠΌΠΎΡΡ‚ΡŒ ΠΏΠ΅Ρ€ΠΈΠΎΠ΄Π°, Π½ΠΎ Π½Π΅ Π²Ρ‹ΡˆΠ΅ ΡΠΊΡΠΏΠΎΠ½Π΅Π½Ρ†ΠΈΠ°Π»ΡŒΠ½ΠΎΠΉ. Π’ рядС случаСв Π°Π»Π³ΠΎΡ€ΠΈΡ‚ΠΌΡ‹ ΠΏΠΎΡ€ΠΎΠΆΠ΄Π°ΡŽΡ‚ особыС ΠΏΠ΅Ρ€ΠΌΡƒΡ‚Π°Ρ†ΠΈΠΈ: ΠΏΠΎΠ²ΠΎΡ€ΠΎΡ‚, ΠΎΡ‚Ρ€Π°ΠΆΠ΅Π½ΠΈΠ΅ ΠΈ пСрСстановку Π±Π»ΠΎΠΊΠΎΠ² для ΠΌΠ°Ρ‚Ρ€ΠΈΡ†Ρ‹ 2kx2k. Π­Ρ‚ΠΈ Ρ„ΠΎΡ€ΠΌΡƒΠ»Ρ‹ тСсно связаны с ΠΈΠ½Π΄ΠΈΠ²ΠΈΠ΄ΡƒΠ°Π»ΡŒΠ½Ρ‹ΠΌΠΈ траСкториями элСмСнтов, Π° ΠΎΠ½ΠΈ – с влияниСм Π³Ρ€Π°Π½ΠΈΡ†, Ρ‡Ρ‚ΠΎ Π΄Π°Π΅Ρ‚ Π²Π΅Ρ‚Π²Π»Π΅Π½ΠΈΠ΅ порядка ΠΌΠ°Ρ‚Ρ€ΠΈΡ†Ρ‹ ΠΏΠΎ классу Π²Ρ‹Ρ‡Π΅Ρ‚Π° ΠΏΠΎ ΠΌΠΎΠ΄ΡƒΠ»ΡŽ 3,4 ΠΈΠ»ΠΈ 12. Π’ΠΈΠ·ΡƒΠ°Π»ΠΈΠ·Π°Ρ†ΠΈΠΈ этих Ρ‚Ρ€Π°Π΅ΠΊΡ‚ΠΎΡ€ΠΈΠΉ приводятся Π² Ρ€Π°ΡΡˆΠΈΡ€Π΅Π½Π½ΠΎΠΌ ΠΏΠΎΠ»Π΅ КА. Π’ качСствС ΠΏΠ°Ρ€Π°ΠΌΠ΅Ρ‚Ρ€Π° Π΄ΠΈΠ½Π°ΠΌΠΈΠΊΠΈ КА Π°Π½Π°Π»ΠΈΠ·ΠΈΡ€ΡƒΡŽΡ‚ΡΡ Π΄Π²Π΅ Β«ΠΌΠ΅Ρ‚Ρ€ΠΈΠΊΠΈ ΠΏΠ΅Ρ€Π΅ΠΌΠ΅ΡˆΠ°Π½Π½ΠΎΡΡ‚ΠΈΒ» Π½Π° пСрмутациях ΠΌΠ°Ρ‚Ρ€ΠΈΡ†Ρ‹ (ΠΏΠΎ ΡΡ€Π°Π²Π½Π΅Π½ΠΈΡŽ с Π½Π°Ρ‡Π°Π»ΡŒΠ½ΠΎΠΉ). Для всСх схСм ΠΈ Π±ΠΎΠ»ΡŒΡˆΠΈΠ½ΡΡ‚Π²Π° Π²Π΅Ρ‚Π²Π΅ΠΉ ΠΏΠΎΠ²Π΅Π΄Π΅Π½ΠΈΠ΅ этих ΠΌΠ΅Ρ‚Ρ€ΠΈΠΊ прСдставлСно Π½Π° Π³Ρ€Π°Ρ„ΠΈΠΊΠ°Ρ… ΠΈ гистограммах (условно: плотности распрСдСлСния), ΠΏΠΎΠΊΠ°Π·Ρ‹Π²Π°ΡŽΡ‰ΠΈΡ…, ΠΊΠ°ΠΊ часто Π²ΡΡ‚Ρ€Π΅Ρ‡Π°ΡŽΡ‚ΡΡ ΠΏΠΎ ΠΏΠ΅Ρ€ΠΈΠΎΠ΄Ρƒ ΠΏΠ΅Ρ€ΠΌΡƒΡ‚Π°Ρ†ΠΈΠΈ с Π·Π°Π΄Π°Π½Π½Ρ‹ΠΌ ΠΈΠ½Ρ‚Π΅Ρ€Π²Π°Π»ΠΎΠΌ Π·Π½Π°Ρ‡Π΅Π½ΠΈΠΉ ΠΌΠ΅Ρ‚Ρ€ΠΈΠΊ. ΠŸΡ€Π°ΠΊΡ‚ΠΈΡ‡Π΅ΡΠΊΠΎΠ΅ Π·Π½Π°Ρ‡Π΅Π½ΠΈΠ΅ Ρ€Π°Π±ΠΎΡ‚Ρ‹ состоит Π² ΠΎΡ†Π΅Π½ΠΊΠ΅ примСнСния КА Π² областях Π³Π΅Π½Π΅Ρ€Π°Ρ†ΠΈΠΈ псСвдослучайных чисСл ΠΈ ΠΊΡ€ΠΈΠΏΡ‚ΠΎΠ³Ρ€Π°Ρ„ΠΈΠΈ

    Four Cellular Automata Algorithms for Matrix Permutation

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    Numerical calculation uses to describe the operation of matrix permutation algorithms based on cyclic shifts of rows and columns. This choice of discrete transformation algorithms justified by the convenience of the cellular automaton (CA) formulation, which is used. Obtained Empirical formulas for the permutation period and for the last algorithm, which period formula is recurrent. For a base scheme period has the asymptotics: Β for a matrix Β with pairwise different elements. Despite the complexity of the scheme, the other two modifications only give a polynomial growth of period, no higher than 3. Fourth scheme has a non-trivial period dependence, but no higher than the exponential. In some cases algorithms make special permutations: rotate, reflect, and rearrange blocks for the matrix . These formulas are closely related to individual cells paths. And paths connected with the influence of the boundaries that gives branching the matrix order by subtraction class modulo 3,4 or 12. Visualizations of these paths make in the extended CA-field. Two "mixing metrics" analyze as a parameter of CA dynamics on matrix permutations (compared to the initial). For all schemes and most branches, the behavior of these metrics shows in graphs and histograms (conditional density distribution) showing how often the permutation period occurs with the specified interval of metrics. The practical aim of this work is in the field of pseudorandom number generation and cryptography

    Helicity-Sensitive Plasmonic Terahertz Interferometer

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    Plasmonic interferometry is a rapidly growing area of research with a huge potential for applications in the terahertz frequency range. In this Letter, we explore a plasmonic interferometer based on graphene field effect transistor connected to specially designed antennas. As a key result, we observe helicity- and phase-sensitive conversion of circularly polarized radiation into dc photovoltage caused by the plasmon-interference mechanism: two plasma waves, excited at the source and drain part of the transistor, interfere inside the channel. The helicity-sensitive phase shift between these waves is achieved by using an asymmetric antenna configuration. The dc signal changes sign with inversion of the helicity. A suggested plasmonic interferometer is capable of measuring the phase difference between two arbitrary phase-shifted optical signals. The observed effect opens a wide avenue for phase-sensitive probing of plasma wave excitations in two-dimensional materials
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