46 research outputs found
Giant popliteal artery aneurysm
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 7β8 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΅ΡΡΡΠ΅ ΠΊΠ»Π΅ΡΠΎΡΠ½ΠΎ-Π°Π²ΡΠΎΠΌΠ°ΡΠ½ΡΡ Π°Π»Π³ΠΎΡΠΈΡΠΌΠ° ΠΏΠ΅ΡΠΌΡΡΠ°ΡΠΈΠΉ ΠΌΠ°ΡΡΠΈΡ
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‘ ΠΏΠΎΠΌΠΎΡΡΡ ΡΠΈΡΠ»Π΅Π½Π½ΠΎΠ³ΠΎ ΡΠ°ΡΡΠ΅ΡΠ° ΠΎΠΏΠΈΡΡΠ²Π°Π΅ΡΡΡ ΡΠ°Π±ΠΎΡΠ° Π°Π»Π³ΠΎΡΠΈΡΠΌΠΎΠ² ΠΏΠ΅ΡΠΌΡΡΠ°ΡΠΈΠΉ ΠΌΠ°ΡΡΠΈΡ, ΠΎΡΠ½ΠΎΠ²Π°Π½Π½ΡΡ
Π½Π° ΡΠΈΠΊΠ»ΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΠ΄Π²ΠΈΠ³Π°Ρ
ΡΡΡΠΎΠΊ ΠΈ ΡΡΠΎΠ»Π±ΡΠΎΠ². Π’Π°ΠΊΠΎΠΉ Π²ΡΠ±ΠΎΡ Π°Π»Π³ΠΎΡΠΈΡΠΌΠΎΠ² Π΄ΠΈΡΠΊΡΠ΅ΡΠ½ΠΎΠ³ΠΎ ΠΏΡΠ΅ΠΎΠ±ΡΠ°Π·ΠΎΠ²Π°Π½ΠΈΡ ΠΎΠ±ΠΎΡΠ½ΠΎΠ²Π°Π½ ΡΠ΄ΠΎΠ±ΡΡΠ²ΠΎΠΌ ΠΊΠ»Π΅ΡΠΎΡΠ½ΠΎ-Π°Π²ΡΠΎΠΌΠ°ΡΠ½ΡΡ
ΡΠΎΡΠΌΡΠ»ΠΈΡΠΎΠ²ΠΎΠΊ, ΠΊΠΎΡΠΎΡΡΠ΅ ΠΈ ΠΏΡΠΈΠ²ΠΎΠ΄ΡΡΡΡ. ΠΠΎΠ»ΡΡΠ΅Π½Ρ ΡΠΌΠΏΠΈΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΡΠΎΡΠΌΡΠ»Ρ Π΄Π»Ρ ΠΏΠ΅ΡΠΈΠΎΠ΄Π° ΠΏΠ΅ΡΠΌΡΡΠ°ΡΠΈΠΉ; Π΄Π»Ρ ΠΏΠΎΡΠ»Π΅Π΄Π½Π΅Π³ΠΎ Π°Π»Π³ΠΎΡΠΈΡΠΌΠ° ΡΠΎΡΠΌΡΠ»Π° ΠΏΠ΅ΡΠΈΠΎΠ΄Π° Π½ΠΎΡΠΈΡ ΡΠ΅ΠΊΡΡΡΠ΅Π½ΡΠ½ΡΠΉ Ρ
Π°ΡΠ°ΠΊΡΠ΅Ρ. ΠΠ»Ρ Π±Π°Π·ΠΎΠ²ΠΎΠΉ ΠΈ Π½Π°ΠΈΠ±ΠΎΠ»Π΅Π΅ ΠΏΡΠΎΡΡΠΎΠΉ ΡΡ
Π΅ΠΌΡ ΠΏΠ΅ΡΠΈΠΎΠ΄ N(n) ΠΈΠΌΠ΅Π΅Ρ Π°ΡΠΈΠΌΠΏΡΠΎΡΠΈΠΊΡ exp(2n)/n Π΄Π»Ρ ΠΌΠ°ΡΡΠΈΡΡ nxn Ρ ΠΏΠΎΠΏΠ°ΡΠ½ΠΎ ΡΠ°Π·Π»ΠΈΡΠ½ΡΠΌΠΈ ΡΠ»Π΅ΠΌΠ΅Π½ΡΠ°ΠΌΠΈ. ΠΠ΅ΡΠΌΠΎΡΡΡ Π½Π° ΡΡΠ»ΠΎΠΆΠ½Π΅Π½ΠΈΠ΅ ΡΡ
Π΅ΠΌΡ Π°Π»Π³ΠΎΡΠΈΡΠΌΠ°, Π΄Π²Π΅ Π΄ΡΡΠ³ΠΈΠ΅ ΠΌΠΎΠ΄ΠΈΡΠΈΠΊΠ°ΡΠΈΠΈ Π΄Π°ΡΡ Π»ΠΈΡΡ ΠΏΠΎΠ»ΠΈΠ½ΠΎΠΌΠΈΠ°Π»ΡΠ½ΡΠΉ ΡΠΎΡΡ ΡΡΠ΅ΠΏΠ΅Π½ΠΈ Π½Π΅ Π²ΡΡΠ΅ 3. Π§Π΅ΡΠ²Π΅ΡΡΠ°Ρ ΡΡ
Π΅ΠΌΠ° ΠΈΠΌΠ΅Π΅Ρ Π½Π΅ΡΡΠΈΠ²ΠΈΠ°Π»ΡΠ½ΡΡ Π·Π°Π²ΠΈΡΠΈΠΌΠΎΡΡΡ ΠΏΠ΅ΡΠΈΠΎΠ΄Π°, Π½ΠΎ Π½Π΅ Π²ΡΡΠ΅ ΡΠΊΡΠΏΠΎΠ½Π΅Π½ΡΠΈΠ°Π»ΡΠ½ΠΎΠΉ. Π ΡΡΠ΄Π΅ ΡΠ»ΡΡΠ°Π΅Π² Π°Π»Π³ΠΎΡΠΈΡΠΌΡ ΠΏΠΎΡΠΎΠΆΠ΄Π°ΡΡ ΠΎΡΠΎΠ±ΡΠ΅ ΠΏΠ΅ΡΠΌΡΡΠ°ΡΠΈΠΈ: ΠΏΠΎΠ²ΠΎΡΠΎΡ, ΠΎΡΡΠ°ΠΆΠ΅Π½ΠΈΠ΅ ΠΈ ΠΏΠ΅ΡΠ΅ΡΡΠ°Π½ΠΎΠ²ΠΊΡ Π±Π»ΠΎΠΊΠΎΠ² Π΄Π»Ρ ΠΌΠ°ΡΡΠΈΡΡ 2kx2k. ΠΡΠΈ ΡΠΎΡΠΌΡΠ»Ρ ΡΠ΅ΡΠ½ΠΎ ΡΠ²ΡΠ·Π°Π½Ρ Ρ ΠΈΠ½Π΄ΠΈΠ²ΠΈΠ΄ΡΠ°Π»ΡΠ½ΡΠΌΠΈ ΡΡΠ°Π΅ΠΊΡΠΎΡΠΈΡΠΌΠΈ ΡΠ»Π΅ΠΌΠ΅Π½ΡΠΎΠ², Π° ΠΎΠ½ΠΈ β Ρ Π²Π»ΠΈΡΠ½ΠΈΠ΅ΠΌ Π³ΡΠ°Π½ΠΈΡ, ΡΡΠΎ Π΄Π°Π΅Ρ Π²Π΅ΡΠ²Π»Π΅Π½ΠΈΠ΅ ΠΏΠΎΡΡΠ΄ΠΊΠ° ΠΌΠ°ΡΡΠΈΡΡ ΠΏΠΎ ΠΊΠ»Π°ΡΡΡ Π²ΡΡΠ΅ΡΠ° ΠΏΠΎ ΠΌΠΎΠ΄ΡΠ»Ρ 3,4 ΠΈΠ»ΠΈ 12. ΠΠΈΠ·ΡΠ°Π»ΠΈΠ·Π°ΡΠΈΠΈ ΡΡΠΈΡ
ΡΡΠ°Π΅ΠΊΡΠΎΡΠΈΠΉ ΠΏΡΠΈΠ²ΠΎΠ΄ΡΡΡΡ Π² ΡΠ°ΡΡΠΈΡΠ΅Π½Π½ΠΎΠΌ ΠΏΠΎΠ»Π΅ ΠΠ. Π ΠΊΠ°ΡΠ΅ΡΡΠ²Π΅ ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠ° Π΄ΠΈΠ½Π°ΠΌΠΈΠΊΠΈ ΠΠ Π°Π½Π°Π»ΠΈΠ·ΠΈΡΡΡΡΡΡ Π΄Π²Π΅ Β«ΠΌΠ΅ΡΡΠΈΠΊΠΈ ΠΏΠ΅ΡΠ΅ΠΌΠ΅ΡΠ°Π½Π½ΠΎΡΡΠΈΒ» Π½Π° ΠΏΠ΅ΡΠΌΡΡΠ°ΡΠΈΡΡ
ΠΌΠ°ΡΡΠΈΡΡ (ΠΏΠΎ ΡΡΠ°Π²Π½Π΅Π½ΠΈΡ Ρ Π½Π°ΡΠ°Π»ΡΠ½ΠΎΠΉ). ΠΠ»Ρ Π²ΡΠ΅Ρ
ΡΡ
Π΅ΠΌ ΠΈ Π±ΠΎΠ»ΡΡΠΈΠ½ΡΡΠ²Π° Π²Π΅ΡΠ²Π΅ΠΉ ΠΏΠΎΠ²Π΅Π΄Π΅Π½ΠΈΠ΅ ΡΡΠΈΡ
ΠΌΠ΅ΡΡΠΈΠΊ ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½ΠΎ Π½Π° Π³ΡΠ°ΡΠΈΠΊΠ°Ρ
ΠΈ Π³ΠΈΡΡΠΎΠ³ΡΠ°ΠΌΠΌΠ°Ρ
(ΡΡΠ»ΠΎΠ²Π½ΠΎ: ΠΏΠ»ΠΎΡΠ½ΠΎΡΡΠΈ ΡΠ°ΡΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΡ), ΠΏΠΎΠΊΠ°Π·ΡΠ²Π°ΡΡΠΈΡ
, ΠΊΠ°ΠΊ ΡΠ°ΡΡΠΎ Π²ΡΡΡΠ΅ΡΠ°ΡΡΡΡ ΠΏΠΎ ΠΏΠ΅ΡΠΈΠΎΠ΄Ρ ΠΏΠ΅ΡΠΌΡΡΠ°ΡΠΈΠΈ Ρ Π·Π°Π΄Π°Π½Π½ΡΠΌ ΠΈΠ½ΡΠ΅ΡΠ²Π°Π»ΠΎΠΌ Π·Π½Π°ΡΠ΅Π½ΠΈΠΉ ΠΌΠ΅ΡΡΠΈΠΊ. ΠΡΠ°ΠΊΡΠΈΡΠ΅ΡΠΊΠΎΠ΅ Π·Π½Π°ΡΠ΅Π½ΠΈΠ΅ ΡΠ°Π±ΠΎΡΡ ΡΠΎΡΡΠΎΠΈΡ Π² ΠΎΡΠ΅Π½ΠΊΠ΅ ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΡ ΠΠ Π² ΠΎΠ±Π»Π°ΡΡΡΡ
Π³Π΅Π½Π΅ΡΠ°ΡΠΈΠΈ ΠΏΡΠ΅Π²Π΄ΠΎΡΠ»ΡΡΠ°ΠΉΠ½ΡΡ
ΡΠΈΡΠ΅Π» ΠΈ ΠΊΡΠΈΠΏΡΠΎΠ³ΡΠ°ΡΠΈΠΈ
Four Cellular Automata Algorithms for Matrix Permutation
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
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