483 research outputs found

    The Herschel-Quincke tube with modulated branches

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    The Herschel-Quincke (HQ) tube concept for transmission loss in pipe systems is expanded to include cases of branches with modulated properties. Modulated waveguides, featuring corrugations in their geometry or speed of sound, are known to produce significant reflection even without the parallel branch of the HQ tube. The HQ tube, in its classical form, produces narrow banded transmission loss at frequencies related to the length, wavenumber and cross-section area of the parallel branch. The modulated Herschel-Quincke (MHQ) tube combines these attributes to produce enhanced transmission loss characteristics in terms of both width and number of transmission loss bands. Several modulated profiles for the speed of sound in different branches of the tube are considered and analytical expressions for the transmission loss and resonant conditions are derived. Detailed analysis of periodically stratified branch profiles demonstrates the effectiveness of the MHQ tube for fluid-borne noise attenuation in pipe systems. This article is part of the theme issue 'Wave generation and transmission in multi-scale complex media and structured metamaterials (part 2)'

    Body Fat Estimation from Surface Meshes using Graph Neural Networks

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    Body fat volume and distribution can be a strong indication for a person's overall health and the risk for developing diseases like type 2 diabetes and cardiovascular diseases. Frequently used measures for fat estimation are the body mass index (BMI), waist circumference, or the waist-hip-ratio. However, those are rather imprecise measures that do not allow for a discrimination between different types of fat or between fat and muscle tissue. The estimation of visceral (VAT) and abdominal subcutaneous (ASAT) adipose tissue volume has shown to be a more accurate measure for named risk factors. In this work, we show that triangulated body surface meshes can be used to accurately predict VAT and ASAT volumes using graph neural networks. Our methods achieve high performance while reducing training time and required resources compared to state-of-the-art convolutional neural networks in this area. We furthermore envision this method to be applicable to cheaper and easily accessible medical surface scans instead of expensive medical images

    The 2003-4 multisite photometric campaign for the Beta Cephei and eclipsing star 16 (EN) Lacertae with an Appendix on 2 Andromedae, the variable comparison star

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    A multisite photometric campaign for the Beta Cephei and eclipsing variable 16 Lacertae is reported. 749 h of high-quality differential photoelectric Stromgren, Johnson and Geneva time-series photometry were obtained with ten telescopes during 185 nights. After removing the pulsation contribution, an attempt was made to solve the resulting eclipse light curve by means of the computer program EBOP. Although a unique solution was not obtained, the range of solutions could be constrained by comparing computed positions of the secondary component in the Hertzsprung-Russell diagram with evolutionary tracks. For three high-amplitude pulsation modes, the uvy and the Geneva UBG amplitude ratios are derived and compared with the theoretical ones for spherical-harmonic degrees l <= 4. The highest degree, l = 4, is shown to be incompatible with the observations. One mode is found to be radial, one is l = 1, while in the remaining case l = 2 or 3. The present multisite observations are combined with the archival photometry in order to investigate the long-term variation of the amplitudes and phases of the three high-amplitude pulsation modes. The radial mode shows a non-sinusoidal variation on a time-scale of 73 yr. The l = 1 mode is a triplet with unequal frequency spacing, giving rise to two beat-periods, 720.7 d and 29.1 yr. The amplitude and phase of the l = 2 or 3 mode vary on time-scales of 380.5 d and 43 yr. The light variation of 2 And, one of the comparison stars, is discussed in the Appendix.Comment: 18 pages, 19 figures, accepted for publication in MNRA

    Spreading of melts

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    Several mathematical problems that related to the flow and solidification of a hot fluid are studied. The fracture of the crust that forms as the fluid solidifies is also examined

    Crack Front Waves and the dynamics of a rapidly moving crack

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    Crack front waves are localized waves that propagate along the leading edge of a crack. They are generated by the interaction of a crack with a localized material inhomogeneity. We show that front waves are nonlinear entities that transport energy, generate surface structure and lead to localized velocity fluctuations. Their existence locally imparts inertia, which is not incorporated in current theories of fracture, to initially "massless" cracks. This, coupled to crack instabilities, yields both inhomogeneity and scaling behavior within fracture surface structure.Comment: Embedded Latex file including 4 figure

    Asteroseismology of the Beta Cephei star 12 (DD) Lacertae: photometric observations, pulsational frequency analysis and mode identification

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    We report a multisite photometric campaign for the Beta Cephei star 12 Lacertae. 750 hours of high-quality differential photoelectric Stromgren, Johnson and Geneva time-series photometry were obtained with 9 telescopes during 190 nights. Our frequency analysis results in the detection of 23 sinusoidal signals in the light curves. Eleven of those correspond to independent pulsation modes, and the remainder are combination frequencies. We find some slow aperiodic variability such as that seemingly present in several Beta Cephei stars. We perform mode identification from our colour photometry, derive the spherical degree l for the five strongest modes unambiguously and provide constraints on l for the weaker modes. We find a mixture of modes of 0 <= l <= 4. In particular, we prove that the previously suspected rotationally split triplet within the modes of 12 Lac consists of modes of different l; their equal frequency splitting must thus be accidental. One of the periodic signals we detected in the light curves is argued to be a linearly stable mode excited to visible amplitude by nonlinear mode coupling via a 2:1 resonance. We also find a low-frequency signal in the light variations whose physical nature is unclear; it could be a parent or daughter mode resonantly coupled. The remaining combination frequencies are consistent with simple light-curve distortions. The range of excited pulsation frequencies of 12 Lac may be sufficiently large that it cannot be reproduced by standard models. We suspect that the star has a larger metal abundance in the pulsational driving zone, a hypothesis also capable of explaining the presence of Beta Cephei stars in the LMC.Comment: 12 pages, 7 figures, MNRAS, in pres

    Π€Π°ΠΊΡ‚ΠΎΡ€Ρ‹ риска Π²Π΅Π½ΠΎΠ·Π½Ρ‹Ρ… ΠΈ Π°Ρ€Ρ‚Π΅Ρ€ΠΈΠ°Π»ΡŒΠ½Ρ‹Ρ… Ρ‚Ρ€ΠΎΠΌΠ±ΠΎΠ·ΠΎΠ² Ρƒ ΠΌΠΎΠ»ΠΎΠ΄Ρ‹Ρ… ΠΆΠ΅Π½Ρ‰ΠΈΠ½ Π²Π½Π΅ бСрСмСнности

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    Introduction: to assess the influence of factors independently associated with arterial and venous thrombosis in women aged 18-44 years outside pregnancy.Material and methods. The case-control study included 319 women: the cases group included 134 patients with verified arterial and venous thrombosis, the control group included 185 patients without thrombosis. inclusion criteria: age 18-44 years; the presence of the first episode of instrumental^ verified arterial or venous thrombosis; consent to participate in the study. Exclusion criteria: pregnancy; the postpartum period up to 6 weeks at the time of thrombosis; mental disorders and mental illness. All women underwent clinical examination, collection of somatic and obstetric history, testing for biochemical parameters, hereditary and acquired thrombophilia. To quantify the independent relationships of risk factors with thrombotic events, the multiple logistic regression method was used.Results. In the group of cases, venous thrombosis was in 75% women, arterial thrombosis - in 25%. Ischemic strokes prevailed in the structure of arterial thrombosis. The most common trigger was the use of estrogen-progestin containing contraceptives in combination with other risk factors. In 23 cases (17.2%) the thrombosis were unprovoked. The proportion of women β‰₯ 40 years old, smoking intensity; family history of VTE in relatives up to 50 years of age, dyslipidemia, hyperfibrinogenemia, comorbidity, and the presence of thrombophilia met with a higher frequency in the group of cases. Independent factors associated with the development of arterial and venous thrombosis in young women were: the presence of diseases of the gallbladder (OR = 12,1 95% CI 2.5-67.5), cardiovascular diseases (OR = 10.2; 95% CI 3.6-29.1); total cholesterol level (OR = 7.7; 95% CI 4.4-13.5); respiratory diseases (OR = 3.7; 95% CI 1.0-11.5); the use of combined hormonal contraceptives (OR = 3.4; 95% CI 1.7-6.8); varicose veins of the lower extremities (OR = 2.5; 95% CI 1.0-4.9).Conclusion. The identification of the most important risk factors for arterial and venous thrombosis will expand the understanding of the common pathogenetic way of thrombosis in a population of women of childbearing age and improve their personalized prognosis and early prevention.ЦСль исслСдования: ΠΎΡ†Π΅Π½ΠΈΡ‚ΡŒ влияниС Ρ„Π°ΠΊΡ‚ΠΎΡ€ΠΎΠ², нСзависимо ассоциированных с Π°Ρ€Ρ‚Π΅Ρ€ΠΈΠ°Π»ΡŒΠ½Ρ‹ΠΌΠΈ ΠΈ Π²Π΅Π½ΠΎΠ·Π½Ρ‹ΠΌΠΈ Ρ‚Ρ€ΠΎΠΌΠ±ΠΎΠ·Π°ΠΌΠΈ Ρƒ ΠΆΠ΅Π½Ρ‰ΠΈΠ½ Π² возрастС 18-44 Π»Π΅Ρ‚ Π²Π½Π΅ бСрСмСнности.ΠœΠ°Ρ‚Π΅Ρ€ΠΈΠ°Π»Ρ‹ ΠΈ ΠΌΠ΅Ρ‚ΠΎΠ΄Ρ‹. Π’ исслСдованиС ΠΏΠΎ Ρ‚ΠΈΠΏΡƒ «случай - ΠΊΠΎΠ½Ρ‚Ρ€ΠΎΠ»ΡŒΒ» Π±Ρ‹Π»ΠΈ Π²ΠΊΠ»ΡŽΡ‡Π΅Π½Ρ‹ 319 ΠΆΠ΅Π½Ρ‰ΠΈΠ½: Π² Π³Ρ€ΡƒΠΏΠΏΡƒ Β«Π‘Π»ΡƒΡ‡Π°ΠΈΒ» вошли 134 ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΊΠΈ с Π²Π΅Ρ€ΠΈΡ„ΠΈΡ†ΠΈΡ€ΠΎΠ²Π°Π½Π½Ρ‹ΠΌΠΈ Π°Ρ€Ρ‚Π΅Ρ€ΠΈΠ°Π»ΡŒΠ½Ρ‹ΠΌΠΈ ΠΈ Π²Π΅Π½ΠΎΠ·Π½Ρ‹ΠΌΠΈ Ρ‚Ρ€ΠΎΠΌΠ±ΠΎΠ·Π°ΠΌΠΈ, Π² Β«ΠšΠΎΠ½Ρ‚Ρ€ΠΎΠ»ΡŒΒ» - 185 ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠΊ Π±Π΅Π· Ρ‚Ρ€ΠΎΠΌΠ±ΠΎΠ·ΠΎΠ². ΠšΡ€ΠΈΡ‚Π΅Ρ€ΠΈΠΈ Π²ΠΊΠ»ΡŽΡ‡Π΅Π½ΠΈΡ: возраст 18-44 Π»Π΅Ρ‚; Π½Π°Π»ΠΈΡ‡ΠΈΠ΅ ΠΏΠ΅Ρ€Π²ΠΎΠ³ΠΎ эпизода ΠΈΠ½ΡΡ‚Ρ€ΡƒΠΌΠ΅Π½Ρ‚Π°Π»ΡŒΠ½ΠΎ Π²Π΅Ρ€ΠΈΡ„ΠΈΡ†ΠΈΡ€ΠΎΠ²Π°Π½Π½ΠΎΠ³ΠΎ Π°Ρ€Ρ‚Π΅Ρ€ΠΈΠ°Π»ΡŒΠ½ΠΎΠ³ΠΎ ΠΈΠ»ΠΈ Π²Π΅Π½ΠΎΠ·Π½ΠΎΠ³ΠΎ Ρ‚Ρ€ΠΎΠΌΠ±ΠΎΠ·Π°; согласиС Π½Π° участиС Π² исслСдовании. ΠšΡ€ΠΈΡ‚Π΅Ρ€ΠΈΠΈ ΠΈΡΠΊΠ»ΡŽΡ‡Π΅Π½ΠΈΡ: Π±Π΅Ρ€Π΅ΠΌΠ΅Π½Π½ΠΎΡΡ‚ΡŒ, установлСнная Π°ΠΊΡƒΡˆΠ΅Ρ€ΠΎΠΌ-Π³ΠΈΠ½Π΅ΠΊΠΎΠ»ΠΎΠ³ΠΎΠΌ, Π½Π° ΠΌΠΎΠΌΠ΅Π½Ρ‚ развития Ρ‚Ρ€ΠΎΠΌΠ±ΠΎΠ·Π° ΠΈ/ΠΈΠ»ΠΈ ΠΏΠΎΠ»ΠΎΠΆΠΈΡ‚Π΅Π»ΡŒΠ½Ρ‹Π΅ Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹ тСста Π½Π° Π±Π΅Ρ‚Π°-Π₯Π“Π§; послСродовый ΠΏΠ΅Ρ€ΠΈΠΎΠ΄ Π΄ΠΎ 6 нСдСль Π½Π° ΠΌΠΎΠΌΠ΅Π½Ρ‚ развития Ρ‚Ρ€ΠΎΠΌΠ±ΠΎΠ·Π°; ΠΌΠ΅Π½Ρ‚Π°Π»ΡŒΠ½Ρ‹Π΅ расстройства ΠΈ психичСскиС заболСвания, Π·Π°Ρ‚Ρ€ΡƒΠ΄Π½ΡΡŽΡ‰ΠΈΠ΅ ΠΊΠΎΠ½Ρ‚Π°ΠΊΡ‚. ВсСм ΠΆΠ΅Π½Ρ‰ΠΈΠ½Π°ΠΌ осущСствлялся клиничСский осмотр, сбор соматичСского ΠΈ Π°ΠΊΡƒΡˆΠ΅Ρ€ΡΠΊΠΎΠ³ΠΎ Π°Π½Π°ΠΌΠ½Π΅Π·Π°, Π°Π½Π°Π»ΠΈΠ· мСдицинской Π΄ΠΎΠΊΡƒΠΌΠ΅Π½Ρ‚Π°Ρ†ΠΈΠΈ, биохимичСскоС исслСдованиС, тСстированиС Π½Π° наслСдствСнныС ΠΈ ΠΏΡ€ΠΈΠΎΠ±Ρ€Π΅Ρ‚Π΅Π½Π½Ρ‹Π΅ Ρ‚Ρ€ΠΎΠΌΠ±ΠΎΡ„ΠΈΠ»ΠΈΠΈ. Для количСствСнной ΠΎΡ†Π΅Π½ΠΊΠΈ нСзависимых взаимосвязСй Ρ„Π°ΠΊΡ‚ΠΎΡ€ΠΎΠ² риска с тромботичСскими событиями использован ΠΌΠ΅Ρ‚ΠΎΠ΄ мноТСствСнной логистичСской рСгрСссии.Π Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹. Π’ структурС ΠΏΡ€Π΅ΠΎΠ±Π»Π°Π΄Π°Π»ΠΈ Π²Π΅Π½ΠΎΠ·Π½Ρ‹Π΅ Ρ‚Ρ€ΠΎΠΌΠ±ΠΎΠ·Ρ‹ (75%), Π°Ρ€Ρ‚Π΅Ρ€ΠΈΠ°Π»ΡŒΠ½Ρ‹Π΅ Ρ‚Ρ€ΠΎΠΌΠ±ΠΎΠ·Ρ‹ (25%) Π±Ρ‹Π»ΠΈ прСимущСствСнно прСдставлСны ΠΈΡˆΠ΅ΠΌΠΈΡ‡Π΅ΡΠΊΠΈΠΌΠΈ ΠΈΠ½ΡΡƒΠ»ΡŒΡ‚Π°ΠΌΠΈ, ΠΈΠ½Ρ„Π°Ρ€ΠΊΡ‚ ΠΌΠΈΠΎΠΊΠ°Ρ€Π΄Π° Π±Ρ‹Π» Ρƒ Ρ‚Ρ€Π΅Ρ… ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠΊ (2,2%). НаиболСС частым Ρ‚Ρ€ΠΈΠ³Π³Π΅Ρ€ΠΎΠΌ Ρ‚Ρ€ΠΎΠΌΠ±ΠΎΠ·Π° являлось ΠΏΡ€ΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ ΠΊΠΎΠΌΠ±ΠΈΠ½ΠΈΡ€ΠΎΠ²Π°Π½Π½Ρ‹Ρ… Π³ΠΎΡ€ΠΌΠΎΠ½Π°Π»ΡŒΠ½Ρ‹Ρ… ΠΊΠΎΠ½Ρ‚Ρ€Π°Ρ†Π΅ΠΏΡ‚ΠΈΠ²ΠΎΠ² Π² сочСтании с Π΄Ρ€ΡƒΠ³ΠΈΠΌΠΈ ΠΏΡ€ΠΎΠ²ΠΎΡ†ΠΈΡ€ΡƒΡŽΡ‰ΠΈΠΌΠΈ Ρ„Π°ΠΊΡ‚ΠΎΡ€Π°ΠΌΠΈ. Π£ 23 ΠΆΠ΅Π½Ρ‰ΠΈΠ½ (17,2%) Ρ‚Ρ€ΠΈΠ³Π³Π΅Ρ€ Ρ‚Ρ€ΠΎΠΌΠ±ΠΎΠ·Π° ΡƒΡΡ‚Π°Π½ΠΎΠ²ΠΈΡ‚ΡŒ Π½Π΅ ΡƒΠ΄Π°Π»ΠΎΡΡŒ. Π’ Π³Ρ€ΡƒΠΏΠΏΠ΅ Β«Π‘Π»ΡƒΡ‡Π°ΠΈΒ» оказалась Π·Π½Π°Ρ‡ΠΈΠΌΠΎ Π²Ρ‹ΡˆΠ΅ доля ΠΆΠ΅Π½Ρ‰ΠΈΠ½ β‰₯ 40 Π»Π΅Ρ‚; ΠΈΠ½Ρ‚Π΅Π½ΡΠΈΠ²Π½ΠΎΡΡ‚ΡŒ курСния; большая частота отягощСнного сСмСйного Π°Π½Π°ΠΌΠ½Π΅Π·Π° ΠΏΠΎ Π’Π’Π­Πž Π΄ΠΎ 50 Π»Π΅Ρ‚ Ρƒ родствСнников 1-ΠΉ Π»ΠΈΠ½ΠΈΠΈ родства, дислипидСмии, Π³ΠΈΠΏΠ΅Ρ€Ρ„ΠΈΠ±Ρ€ΠΈΠ½ΠΎΠ³Π΅Π½Π΅ΠΌΠΈΠΈ, коморбидности, наличия Ρ‚Ρ€ΠΎΠΌΠ±ΠΎΡ„ΠΈΠ»ΠΈΠΉ высокого риска. НСзависимыми Ρ„Π°ΠΊΡ‚ΠΎΡ€Π°ΠΌΠΈ, ассоциированными с Ρ€Π°Π·Π²ΠΈΡ‚ΠΈΠ΅ΠΌ Π°Ρ€Ρ‚Π΅Ρ€ΠΈΠ°Π»ΡŒΠ½Ρ‹Ρ… ΠΈ Π²Π΅Π½ΠΎΠ·Π½Ρ‹Ρ… Ρ‚Ρ€ΠΎΠΌΠ±ΠΎΠ·ΠΎΠ² Ρƒ ΠΌΠΎΠ»ΠΎΠ΄Ρ‹Ρ… ΠΆΠ΅Π½Ρ‰ΠΈΠ½, оказались: Π½Π°Π»ΠΈΡ‡ΠΈΠ΅ Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΠΉ ΠΆΠ΅Π»Ρ‡Π½ΠΎΠ³ΠΎ пузыря (ОШ = 12,1, 95% Π”Π˜ 2,5-67,5), Π½Π°Π»ΠΈΡ‡ΠΈΠ΅ сСрдСчно-сосудистых Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΠΉ (ОШ = 10,2; 95% Π”Π˜ 3,6-29,1); ΡƒΡ€ΠΎΠ²Π΅Π½ΡŒ ΠΎΠ±Ρ‰Π΅Π³ΠΎ холСстСрина (ОШ = 7,7; 95% Π”Π˜ 4,4-13,5); Π±ΠΎΠ»Π΅Π·Π½ΠΈ ΠΎΡ€Π³Π°Π½ΠΎΠ² дыхания (ОШ = 3,7; 95% Π”Π˜ 1,0-11,5); ΠΏΡ€ΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ ΠΊΠΎΠΌΠ±ΠΈΠ½ΠΈΡ€ΠΎΠ²Π°Π½Π½Ρ‹Ρ… Π³ΠΎΡ€ΠΌΠΎΠ½Π°Π»ΡŒΠ½Ρ‹Ρ… ΠΊΠΎΠ½Ρ‚Ρ€Π°Ρ†Π΅ΠΏΡ‚ΠΈΠ²ΠΎΠ² (ОШ = 3,4 Π”Π˜ 1,7-6,8); Π²Π°Ρ€ΠΈΠΊΠΎΠ· Π²Π΅Π½ Π½ΠΈΠΆΠ½ΠΈΡ… конСчностСй (ОШ = 2,5; 95% Π”Π˜ 1,0-4,9).Π—Π°ΠΊΠ»ΡŽΡ‡Π΅Π½ΠΈΠ΅. Π’Ρ‹Π΄Π΅Π»Π΅Π½ΠΈΠ΅ Π½Π°ΠΈΠ±ΠΎΠ»Π΅Π΅ Π²Π°ΠΆΠ½Ρ‹Ρ… Ρ„Π°ΠΊΡ‚ΠΎΡ€ΠΎΠ² риска для Π°Ρ€Ρ‚Π΅Ρ€ΠΈΠ°Π»ΡŒΠ½Ρ‹Ρ… ΠΈ Π²Π΅Π½ΠΎΠ·Π½Ρ‹Ρ… Ρ‚Ρ€ΠΎΠΌΠ±ΠΎΠ·ΠΎΠ² ΠΏΠΎΠ·Π²ΠΎΠ»ΠΈΡ‚ Ρ€Π°ΡΡˆΠΈΡ€ΠΈΡ‚ΡŒ ΠΏΠΎΠ½ΠΈΠΌΠ°Π½ΠΈΠ΅ Π΅Π΄ΠΈΠ½Ρ‹Ρ… патогСнСтичСских процСссов тромбообразования Π² популяции ΠΆΠ΅Π½Ρ‰ΠΈΠ½ Ρ„Π΅Ρ€Ρ‚ΠΈΠ»ΡŒΠ½ΠΎΠ³ΠΎ возраста ΠΈ ΡΠΎΠ²Π΅Ρ€ΡˆΠ΅Π½ΡΡ‚Π²ΠΎΠ²Π°Ρ‚ΡŒ ΠΈΡ… пСрсонализированноС ΠΏΡ€ΠΎΠ³Π½ΠΎΠ·ΠΈΡ€ΠΎΠ²Π°Π½ΠΈΠ΅ ΠΈ Ρ€Π°Π½Π½ΡŽΡŽ ΠΏΡ€ΠΎΡ„ΠΈΠ»Π°ΠΊΡ‚ΠΈΠΊΡƒ
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