36 research outputs found

    The image-based finite element evaluation of the deformed state

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    The article presents one of the possible approaches to modeling objects with anisotropic properties based on images of the study area. Data from such images are taken into account when building a numerical model. In this case, material inhomogeneity can be included by integrating the local stiffness matrix of each finite element with a certain weight function. The purpose of the presented work is to develop a finite element for the formation of a computational ensemble and simulation of mechanical behavior taking into account the data of two-dimensional medical images. To implement the proposed approach, we used the assumption that there is a correlation between the values in the image pixels and the elastic properties of the material. Meshing was based on a four-node plane finite element. This approach allows using the quantitative phase or scanning electronic images, as well as computed tomography data. A number of test problems for compression of elementary geometry samples were calculated. The distal part of the rat femur was considered as a model problem. A computed tomography scan of the sample was used to construct a numerical model taking into account the inhomogeneity of the material distribution inside the organ. The distribution field of the nodal displacements based on data obtained from the images of the study area is presented. Within the framework of a model problem, we considered how a computer tomograph resolution influences the quality of the obtained results. For this purpose, calculations were carried out based on compressed input medical images

    In-plane interferometry of terahertz surface plasmon polaritons

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    The paper is devoted to the development of interferometric schemes for determining the complex refractive index ΞΊ = ΞΊβ€²+iβ€’ΞΊβ€³ ΞΊ of surface plasmon-polaritons (SPPs) of the terahertz (THz) spectral range. As the value of ΞΊ depends on the dielectric constant Ο΅m of the metal surface guiding the SPPs it can be used for determining m in the far infrared what other optical methods fail to do due to high reflectivity of metals. We discuss two types of THz SPP interferometers in which the interference pattern is formed as a result of the interaction of SPP beams themselves rather than bulk waves produced by these beams. The first type of interferometers are static devices that enable one to investigate fast processes on the metal surface, while the second type are dynamic ones that make it possible to realize Fourier spectroscopy of the metal surface and its transition layer at THz frequencies. Devices of the both types produce interferograms enabling one to determine the real and the imaginary parts of ΞΊ. The results of experiments on the interaction of THz SPPs with flat mirrors and beam - splitting plates, the key elements of the THz SPP interferometers, are presented. Β© Published under licence by IOP Publishing Ltd

    ΠŸΡ€ΠΎΡ„ΠΈΠ»ΡŒ Π°Π΄ΠΈΠΏΠΎΡ†ΠΈΡ‚ΠΎΠΊΠΈΠ½ΠΎΠ² ΠΈ ΡΡ„Ρ„Π΅ΠΊΡ‚ΠΈΠ²Π½ΠΎΡΡ‚ΡŒ сниТСния массы Ρ‚Π΅Π»Π° Ρƒ ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² с мСтаболичСски Π·Π΄ΠΎΡ€ΠΎΠ²Ρ‹ΠΌ ΠΎΠΆΠΈΡ€Π΅Π½ΠΈΠ΅ΠΌ

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    Background: Obesity is aΒ  major risk factor for diabetes mellitus and cardiovascular diseases. Nevertheless, some obese patients have normal parameters of blood arterial pressure, carbohydrate, and lipid metabolism ("metabolically healthy obesity", MHO).Aim: To study adipocytokine levels and to assess the effect of weight loss on cardiometabolic risk factors in patients with metabolically healthy obesity.Materials and methods: We conducted aΒ comparative analysis of the main metabolic parameters and adipocytokine levels in 44Β  female patients with MHO (according to the IDF criteria of the metabolic syndrome, 2005: obese patients with no more than one additional cardiometabolic risk factor) and in 33Β women with metabolically unhealthy obesity (MUHO). We also assessed changes of these indices in the patients who reduced their body weight by β‰₯ 5%Β at 6Β months.Results: At baseline, body mass index (BMI) and the levels of basal insulin, C-reactive protein (CRP), tumor necrosis factor alfa (TNF-Ξ±), adiponectin and retinol-binding protein-4 (RBP-4) in the MHO and MUHO groups were comparable. AΒ  significant difference between these groups was observed for the HOMA index (3.0 and 4.4, respectively; p 0.05), alanine aminotransferase (ALT) (23.49 and 37.39Β U/l; p = 0.001), interleukin-6 (0.76 and 1.5Β pg/ml; p 0.05), chemerin (322.4 and 369.2Β ng/ml; p 0.05), and the duration of obesity (18 and 22.6Β years; p 0.05). At 6Β months, in those MHO patients, who reduced body weight by β‰₯ 5% of the initial (66%), there was aΒ significant increase of adiponectin by 4.54 Β± 0.83Β  Β΅g/ml (p 0.05) and aΒ reduction of waist circumference (WC) by -8.6 Β± 1Β cm (p 0.05), НОМА index by -1.13 Β± 0.42 (p 0.05), CRP by -1.7 Β± 0.4Β mg/l (p 0.05), RBP-4 by 2.9 Β± 1.0Β  ng/ml (p 0.05), and сhemerin by -46.6 Β± 17.0Β ng/ml (p 0.05). In the MHO group, we found aΒ positive correlation between changes in the adiponectin levels and the degree of reduction in body weight (p 0.01), changes in RBP-4 and WC (p 0.05), and changes in the levels of interleukin-6 and high-density lipoprotein (p 0.05).Conclusion: Compared to the complicated obesity, MHO is associated with aΒ  shorter disease history, and lower levels of the HOMA index, interleukin-6, and chemerin levels. The body mass decrease in MHO is associated with aΒ decrease in the proinflammatory adipocytokine levels and of the HOMA index that determines the need for treatment of obesity, regardless of its phenotype.ΠΠΊΡ‚ΡƒΠ°Π»ΡŒΠ½ΠΎΡΡ‚ΡŒ. ΠžΠΆΠΈΡ€Π΅Π½ΠΈΠ΅Β β€“ ваТнСйший Ρ„Π°ΠΊΡ‚ΠΎΡ€ риска сахарного Π΄ΠΈΠ°Π±Π΅Ρ‚Π° ΠΈΒ  сСрдСчно-сосудистых Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΠΉ. Π’Π΅ΠΌ Π½Π΅ ΠΌΠ΅Π½Π΅Π΅ ряд Π±ΠΎΠ»ΡŒΠ½Ρ‹Ρ… ΠΎΠΆΠΈΡ€Π΅Π½ΠΈΠ΅ΠΌ ΠΈΠΌΠ΅ΡŽΡ‚ сохранныС ΠΏΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»ΠΈ Π°Ρ€Ρ‚Π΅Ρ€ΠΈΠ°Π»ΡŒΠ½ΠΎΠ³ΠΎ давлСния, ΡƒΠ³Π»Π΅Π²ΠΎΠ΄Π½ΠΎΠ³ΠΎ, Π»ΠΈΠΏΠΈΠ΄Π½ΠΎΠ³ΠΎ обмСнов – «мСтаболичСски Π·Π΄ΠΎΡ€ΠΎΠ²ΠΎΠ΅ ΠΎΠΆΠΈΡ€Π΅Π½ΠΈΠ΅Β» (MΠ—O).Π¦Π΅Π»ΡŒΒ β€“ ΠΈΠ·ΡƒΡ‡ΠΈΡ‚ΡŒ содСрТаниС Π°Π΄ΠΈΠΏΠΎΡ†ΠΈΡ‚ΠΎΠΊΠΈΠ½ΠΎΠ², ΠΎΡ†Π΅Π½ΠΈΡ‚ΡŒ влияниС сниТСния массы Ρ‚Π΅Π»Π° Π½Π° Ρ„Π°ΠΊΡ‚ΠΎΡ€Ρ‹ кардиомСтаболичСского риска ΡƒΒ ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² ΡΒ ΠœΠ—Πž.ΠœΠ°Ρ‚Π΅Ρ€ΠΈΠ°Π» ΠΈΒ ΠΌΠ΅Ρ‚ΠΎΠ΄Ρ‹. ΠŸΡ€ΠΎΠ²Π΅Π΄Π΅Π½ ΡΡ€Π°Π²Π½ΠΈΡ‚Π΅Π»ΡŒΠ½Ρ‹ΠΉ Π°Π½Π°Π»ΠΈΠ· основных мСтаболичСских ΠΏΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»Π΅ΠΉ, уровня Π°Π΄ΠΈΠΏΠΎΡ†ΠΈΡ‚ΠΎΠΊΠΈΠ½ΠΎΠ² ΡƒΒ 44Β ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠΊ с MΠ—O (с ΡƒΡ‡Π΅Ρ‚ΠΎΠΌ ΠΊΡ€ΠΈΡ‚Π΅Ρ€ΠΈΠ΅Π² мСтаболичСского синдрома ΠΏΠΎ International Diabetes Federation (2005) – ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚Ρ‹ с оТирСниСм, ΠΈΠΌΠ΅ΡŽΡ‰ΠΈΠ΅ Π½Π΅ Π±ΠΎΠ»Π΅Π΅ ΠΎΠ΄Π½ΠΎΠ³ΠΎ Π΄ΠΎΠΏΠΎΠ»Π½ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΠ³ΠΎ Ρ„Π°ΠΊΡ‚ΠΎΡ€Π° кардиомСтаболичСского риска) ΠΈΒ 33Β ΠΆΠ΅Π½Ρ‰ΠΈΠ½ с мСтаболичСски Π½Π΅Π·Π΄ΠΎΡ€ΠΎΠ²Ρ‹ΠΌ ΠΎΠΆΠΈΡ€Π΅Π½ΠΈΠ΅ΠΌ (МНО). ΠŸΡ€ΠΎΠ²Π΅Π΄Π΅Π½Π° ΠΎΡ†Π΅Π½ΠΊΠ° Π΄ΠΈΠ½Π°ΠΌΠΈΠΊΠΈ ΡƒΠΊΠ°Π·Π°Π½Π½Ρ‹Ρ… ΠΏΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»Π΅ΠΉ ΡƒΒ ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠΊ, ΡΠ½ΠΈΠ·ΠΈΠ²ΡˆΠΈΡ… массу Ρ‚Π΅Π»Π° Π½Π° β‰₯ 5% Ρ‡Π΅Ρ€Π΅Π· 6 мСсяцСв.Π Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹. Π˜ΡΡ…ΠΎΠ΄Π½ΠΎ ΠΏΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»ΠΈ индСкса массы Ρ‚Π΅Π»Π°, базального инсулина, Π‘-Ρ€Π΅Π°ΠΊΡ‚ΠΈΠ²Π½ΠΎΠ³ΠΎ Π±Π΅Π»ΠΊΠ°, Ρ„Π°ΠΊΡ‚ΠΎΡ€Π° Π½Π΅ΠΊΡ€ΠΎΠ·Π° ΠΎΠΏΡƒΡ…ΠΎΠ»ΠΈ-Ξ±, Π°Π΄ΠΈΠΏΠΎΠ½Π΅ΠΊΡ‚ΠΈΠ½Π° ΠΈΒ  Ρ€Π΅Ρ‚ΠΈΠ½ΠΎΠ»ΡΠ²ΡΠ·Ρ‹Π²Π°ΡŽΡ‰Π΅Π³ΠΎ Π±Π΅Π»ΠΊΠ°-4 Π±Ρ‹Π»ΠΈ сопоставимы Π²Β Π³Ρ€ΡƒΠΏΠΏΠ°Ρ… MΠ—O ΠΈΒ MНО. БтатистичСски Π·Π½Π°Ρ‡ΠΈΠΌΠΎΠ΅ Ρ€Π°Π·Π»ΠΈΡ‡ΠΈΠ΅ ΠΌΠ΅ΠΆΠ΄Ρƒ этими Π³Ρ€ΡƒΠΏΠΏΠ°ΠΌΠΈ наблюдалось ΠΏΠΎ показатСлям индСкса HOMA – 3,0 ΠΈΒ 4,4 (Ρ€ 0,05), аланинаминотрансфСразы – 23,49 ΠΈΒ 37,39Β Π•Π΄/Π» (p = 0,001), ΠΈΠ½Ρ‚Π΅Ρ€Π»Π΅ΠΉΠΊΠΈΠ½Π°-6 – 0,76 ΠΈΒ 1,85Β ΠΏΠ³/ΠΌΠ» (Ρ€ 0,05), хСмСрина – 322,4 ΠΈΒ 369,2Β Π½Π³/ΠΌΠ» (Ρ€ 0,05), Π°Β Ρ‚Π°ΠΊΠΆΠ΅ ΠΏΠΎ Π΄Π»ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΡΡ‚ΠΈ оТирСния – 18 ΠΈΒ 22,6Β Π³ΠΎΠ΄Π° (Ρ€ 0,05) соотвСтствСнно. Π§Π΅Ρ€Π΅Π· 6 мСсяцСв Π²Β Π³Ρ€ΡƒΠΏΠΏΠ΅ ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠΊ с MΠ—O, ΡΠ½ΠΈΠ·ΠΈΠ²ΡˆΠΈΡ… массу Ρ‚Π΅Π»Π° Π½Π° β‰₯ 5%Β ΠΎΡ‚ исходной (66%), наблюдалось статистичСски Π·Π½Π°Ρ‡ΠΈΠΌΠΎΠ΅ ΡƒΠ²Π΅Π»ΠΈΡ‡Π΅Π½ΠΈΠ΅ содСрТания Π°Π΄ΠΈΠΏΠΎΠ½Π΅ΠΊΡ‚ΠΈΠ½Π° Π½Π° 4,54 Β± 0,83Β  ΠΌΠΊΠ³/ΠΌΠ» (p 0,05), ΡƒΠΌΠ΅Π½ΡŒΡˆΠ΅Π½ΠΈΠ΅ окруТности талии – 8,6 Β± 1 см (p 0,005), индСкса ΠΠžΠœΠΒ β€“ -1,13 Β± 0,42Β (p 0,05), Π‘-Ρ€Π΅Π°ΠΊΡ‚ΠΈΠ²Π½ΠΎΠ³ΠΎ бСлка – 1,7 Β± 0,4Β ΠΌΠ³/Π» (Ρ€ 0,05), Ρ€Π΅Ρ‚ΠΈΠ½ΠΎΠ»ΡΠ²ΡΠ·Ρ‹Π²Π°ΡŽΡ‰Π΅Π³ΠΎ Π±Π΅Π»ΠΊΠ°-4 – 2,9 Β± 1,0Β Π½Π³/ΠΌΠ» (Ρ€ 0,05) и хСмСрина – 46,6 Β± 17,0Β Π½Π³/ΠΌΠ» (Ρ€ 0,05). ΠœΡ‹ ΠΎΡ‚ΠΌΠ΅Ρ‚ΠΈΠ»ΠΈ ΠΏΠΎΠ»ΠΎΠΆΠΈΡ‚Π΅Π»ΡŒΠ½ΡƒΡŽ ΠΊΠΎΡ€Ρ€Π΅Π»ΡΡ†ΠΈΡŽ ΠΌΠ΅ΠΆΠ΄Ρƒ измСнСниями уровня Π°Π΄ΠΈΠΏΠΎΠ½Π΅ΠΊΡ‚ΠΈΠ½Π° ΠΈΒ ΡΡ‚Π΅ΠΏΠ΅Π½ΡŒΡŽ сниТСния массы Ρ‚Π΅Π»Π° (p 0,01), измСнСниями Ρ€Π΅Ρ‚ΠΈΠ½ΠΎΠ»ΡΠ²ΡΠ·Ρ‹Π²Π°ΡŽΡ‰Π΅Π³ΠΎ Π±Π΅Π»ΠΊΠ°-4 и окруТности Ρ‚Π°Π»ΠΈΠΈ (p 0,05) и измСнСниями ΡƒΡ€ΠΎΠ²Π½Π΅ΠΉ ΠΈΠ½Ρ‚Π΅Ρ€Π»Π΅ΠΉΠΊΠΈΠ½Π°-6 ΠΈΒ Π»ΠΈΠΏΠΎΠΏΡ€ΠΎΡ‚Π΅ΠΈΠ½ΠΎΠ² высокой плотности (p 0,05) Π²Β Π³Ρ€ΡƒΠΏΠΏΠ΅ MΠ—O.Π—Π°ΠΊΠ»ΡŽΡ‡Π΅Π½ΠΈΠ΅. По ΡΡ€Π°Π²Π½Π΅Π½ΠΈΡŽ с ослоТнСнным ΠΎΠΆΠΈΡ€Π΅Π½ΠΈΠ΅ΠΌ ΠœΠ—Πž ассоциируСтся с болСС ΠΊΠΎΡ€ΠΎΡ‚ΠΊΠΈΠΌ Π°Π½Π°ΠΌΠ½Π΅Π·ΠΎΠΌ заболСвания, Π±ΠΎΠ»Π΅Π΅ Π½ΠΈΠ·ΠΊΠΈΠΌΠΈ показатСлями индСкса НОМА, ΠΈΠ½Ρ‚Π΅Ρ€Π»Π΅ΠΉΠΊΠΈΠ½Π°-6, Ρ…Π΅ΠΌΠ΅Ρ€ΠΈΠ½Π°. Π‘Π½ΠΈΠΆΠ΅Π½ΠΈΠ΅ массы Ρ‚Π΅Π»Π° ΠΏΡ€ΠΈ ΠœΠ—Πž сопровоТдаСтся ΡƒΠΌΠ΅Π½ΡŒΡˆΠ΅Π½ΠΈΠ΅ΠΌ содСрТания ΠΏΡ€ΠΎΠ²ΠΎΡΠΏΠ°Π»ΠΈΡ‚Π΅Π»ΡŒΠ½Ρ‹Ρ… Π°Π΄ΠΈΠΏΠΎΡ†ΠΈΡ‚ΠΎΠΊΠΈΠ½ΠΎΠ² и индСкса НОМА, Ρ‡Ρ‚ΠΎ прСдопрСдСляСт Π½Π΅ΠΎΠ±Ρ…ΠΎΠ΄ΠΈΠΌΠΎΡΡ‚ΡŒ лСчСния оТирСния Π²Π½Π΅ зависимости ΠΎΡ‚ Ρ„Π΅Π½ΠΎΡ‚ΠΈΠΏΠ°

    Specific features of sodium iodide (NaJ-2Hβ‚‚O) dehydration in vacuum

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    Sodium iodide dehydration in vacuum has been studied by baric analysis and spectrophotometry. The decomposition process of NaJ-2Hβ‚‚O has been shown to be possible at room temperature. During the subsequent heating, water has bben found to be eliminated within 180 to 280Β°C and 280 to 450Β°C ranges.ΠŸΡ€ΠΎΠ²Π΅Π΄Π΅Π½ΠΎ исслСдованиС обСзвоТивания ΠΉΠΎΠ΄ΠΈΠ΄Π° натрия Π² Π²Π°ΠΊΡƒΡƒΠΌΠ΅ ΠΌΠ΅Ρ‚ΠΎΠ΄Π°ΠΌΠΈ баричСского ΠΈ спСктромСтричСского Π°Π½Π°Π»ΠΈΠ·Π°. Показано, Ρ‡Ρ‚ΠΎ процСсс разлоТСния кристаллогидрата NaJ-2Hβ‚‚O ΠΌΠΎΠΆΠ΅Ρ‚ ΠΏΡ€ΠΎΡ‚Π΅ΠΊΠ°Ρ‚ΡŒ ΠΏΡ€ΠΈ ΠΊΠΎΠΌΠ½Π°Ρ‚Π½ΠΎΠΉ Ρ‚Π΅ΠΌΠΏΠ΅Ρ€Π°Ρ‚ΡƒΡ€Π΅. Π’ Ρ…ΠΎΠ΄Π΅ ΠΏΠΎΡΠ»Π΅Π΄ΡƒΡŽΡ‰Π΅Π³ΠΎ тСрмичСского Π½Π°Π³Ρ€Π΅Π²Π° ΠΎΠ±Π½Π°Ρ€ΡƒΠΆΠ΅Π½ΠΎ Π²Ρ‹Π΄Π΅Π»Π΅Π½ΠΈΠ΅ Π²ΠΎΠ΄Ρ‹ Π² Π΄ΠΈΠ°ΠΏΠ°Π·ΠΎΠ½Π°Ρ… 180-280Β°Π‘ ΠΈ 280-450Β°Π‘.ΠŸΡ€ΠΎΠ²Π΅Π΄Π΅Π½ΠΎ дослідТСння знСводнювання ΠΉΠΎΠ΄ΠΈΠ΄Ρƒ Π½Π°Ρ‚Ρ€Ρ–ΡŽ Ρƒ Π²Π°ΠΊΡƒΡƒΠΌΡ– ΠΌΠ΅Ρ‚ΠΎΠ΄Π°ΠΌΠΈ Π±Π°Ρ€ΠΈΡ‡Π½ΠΎΠ³ΠΎ Ρ‚Π° спСктромСтричного Π°Π½Π°Π»Ρ–Π·Ρƒ. Показано, Ρ‰ΠΎ процСс розкладання NaJ-2Hβ‚‚O ΠΌΠΎΠΆΠ΅ ΠΏΡ€ΠΎΡ‚Ρ–ΠΊΠ°Ρ‚ΠΈ ΠΏΡ€ΠΈ ΠΊΡ–ΠΌΠ½Π°Ρ‚Π½Ρ–ΠΉ Ρ‚Π΅ΠΌΠΏΠ΅Ρ€Π°Ρ‚ΡƒΡ€Ρ–. Π£ Ρ…ΠΎΠ΄Ρ– наступного Ρ‚Π΅Ρ€ΠΌΡ–Ρ‡Π½ΠΎΠ³ΠΎ Π½Π°Π³Ρ€Ρ–Π²Ρƒ виявлСно виділСння Π²ΠΎΠ΄ΠΈ Ρƒ Π΄Ρ–Π°ΠΏΠ°Π·ΠΎΠ½Π°Ρ… 180-280Β°C Ρ‚Π° 280-450Β°C

    Dehydration of alkali metal iodides in vacuum

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    The behavior of lithium, sodium, and cesium iodides under heating in vacuum has been studied using baric method and spectrometry. Water release into the gas phase has been found to occur from the materials within various temperature ranges. The water release at the alkali metal iodides seems to be connected with decomposition of the impurity phase containing hydroxyl groups.ИсслСдовано ΠΏΠΎΠ²Π΅Π΄Π΅Π½ΠΈΠ΅ ΠΉΠΎΠ΄ΠΈΠ΄ΠΎΠ² лития, натрия ΠΈ цСзия ΠΏΡ€ΠΈ Π½Π°Π³Ρ€Π΅Π²Π°Π½ΠΈΠΈ Π² Π²Π°ΠΊΡƒΡƒΠΌΠ΅ ΠΌΠ΅Ρ‚ΠΎΠ΄Π°ΠΌΠΈ баричСского ΠΈ спСктромСтричСского Π°Π½Π°Π»ΠΈΠ·Π°. Показано, Ρ‡Ρ‚ΠΎ для рассматриваСмых соСдинСний Π²Ρ‹Π΄Π΅Π»Π΅Π½ΠΈΠ΅ Π²ΠΎΠ΄Ρ‹ Π² Π³Π°Π·ΠΎΠ²ΡƒΡŽ Ρ„Π°Π·Ρƒ Π½Π°Π±Π»ΡŽΠ΄Π°Π΅Ρ‚ΡΡ Π² Ρ€Π°Π·Π»ΠΈΡ‡Π½Ρ‹Ρ… Ρ‚Π΅ΠΌΠΏΠ΅Ρ€Π°Ρ‚ΡƒΡ€Π½Ρ‹Ρ… ΠΈΠ½Ρ‚Π΅Ρ€Π²Π°Π»Π°Ρ…. Π’Ρ‹Π΄Π΅Π»Π΅Π½ΠΈΠ΅ Π²ΠΎΠ΄Ρ‹ ΠΏΡ€ΠΈ Π½Π°Π³Ρ€Π΅Π²Π°Π½ΠΈΠΈ ΠΉΠΎΠ΄ΠΈΠ΄ΠΎΠ² Ρ‰Π΅Π»ΠΎΡ‡Π½Ρ‹Ρ… ΠΌΠ΅Ρ‚Π°Π»Π»ΠΎΠ², ΠΏΠΎ-Π²ΠΈΠ΄ΠΈΠΌΠΎΠΌΡƒ, связано с Ρ€Π°Π·Π»ΠΎΠΆΠ΅Π½ΠΈΠ΅ΠΌ примСсной Ρ„Π°Π·Ρ‹, содСрТащСй Π³ΠΈΠ΄Ρ€ΠΎΠΊΡΠΈΠ»ΡŒΠ½Ρ‹Π΅ Π³Ρ€ΡƒΠΏΠΏΡ‹.ДослiΠ΄ΠΆΠ΅Π½ΠΎ ΠΏΠΎΠ²Π΅Π΄iΠ½ΠΊΡƒ ΠΉΠΎΠ΄ΠΈΠ΄iΠ² Π»iΡ‚iю, Π½Π°Ρ‚Ρ€iю Ρ‚Π° Ρ†Π΅Π·iю ΠΏΡ€ΠΈ Π½Π°Π³Ρ€iΠ²Π°Π½Π½i Ρƒ Π²Π°ΠΊΡƒΡƒΠΌi ΠΌΠ΅Ρ‚ΠΎΠ΄Π°ΠΌΠΈ Π±Π°Ρ€ΠΈΡ‡Π½ΠΎΠ³ΠΎ Ρ‚Π° спСктромСтричного Π°Π½Π°Π»iΠ·Ρƒ. Показано, Ρ‰ΠΎ для Ρ†ΠΈΡ… сполук спостСрiΠ³Π°Ρ”Ρ‚ΡŒΡΡ Π²ΠΈΠ²iльнСння Π²ΠΎΠ΄ΠΈ Ρƒ Π³Π°Π·ΠΎΠ²Ρƒ Ρ„Π°Π·Ρƒ Ρƒ Ρ€iΠ·Π½ΠΈΡ… Ρ‚Π΅ΠΌΠΏΠ΅Ρ€Π°Ρ‚ΡƒΡ€Π½ΠΈΡ… iΠ½Ρ‚Π΅Ρ€Π²Π°Π»Π°Ρ…. Π’ΠΈΠ²iльнСння Π²ΠΎΠ΄ΠΈ ΠΏΡ€ΠΈ Π½Π°Π³Ρ€iΠ²Π°Π½Π½i ΠΉΠΎΠ΄ΠΈΠ΄iΠ² Π»ΡƒΠΆΠ½ΠΈΡ… ΠΌΠ΅Ρ‚Π°Π»iΠ², ΠΌΠΎΠΆΠ»ΠΈΠ²ΠΎ, ΠΏΠΎΠ²'язано Π· Ρ€ΠΎΠ·ΠΊΠ»Π°Π΄ΠΎΠΌ Π΄ΠΎΠΌiΡˆΠΊΠΎΠ²ΠΎΡ— Ρ„Π°Π·ΠΈ, яка ΠΌiΡΡ‚ΠΈΡ‚ΡŒ Π³iдроксиднi Π³Ρ€ΡƒΠΏΠΈ

    Meta-Analysis of Non-Alcoholic Fatty Liver Disease and Electromechanical Reconstruction of Myocardium

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    In developed countries, non-alcoholic fatty liver disease (NAFLD), which results from obesity, has become endemic and kills many adults annually. Health research centers in most countries are looking to examine the relationship between metabolic syndrome (MetS) and metabolic biomarkers. A bleeding-prone standard liver biopsy or costly magnetic resonance imaging scan is used to diagnose NAFLD. The present study aimed to analyze medical databases using various scientific articles; moreover, this experiment analyzed medical databases using published scientific articles related to NAFLD, endovascular treatment, cardiac arrhythmias and conduction disorders, changes in the geometry of atria and ventricles, changes in myocardial mass volume as well as diastolic flow left and right ventricular systolic functions, coronary blood flow, analysis of the dependence of epicardial fat tissue (EFT) thickness, and the presence of chronic heart failure (CHF). It is demonstrated that the index of EFT in NAFLD positively correlated with the criteria of cardiovascular health, values of the carotid intima-media thickness, and calcification of the coronary arteries on the coronary artery calcium scale (P<0.0001). The index of per EFT significantly correlated with the factor of the age of the NAFLD patients (P=0.04), hemoglobin A1C level (P<0.001), systemic inflammatory index (P=0.02), the index of impaired glucose tolerance (P=0.03), and especially, the patient's diabetes factor (P<0.001). In addition, adiponectin levels were significantly lower in individuals with NAFLD (P=0.001) and patients with MetS (P=0.02). NAFLD in association with an increase in epicardial adipose tissue (EAT) is an independent risk factor for atherosclerosis, coronary heart disease, CHF, as well as structural and electrophysiological myocardial remodeling. The study of pathogenetic mechanisms in the context of the role of EAT and clinical monitoring of its condition are urgent problems of modern medicine. Copyright Β© 2022 b

    Bone Stress-Strain State Evaluation Using CT Based FEM

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    Nowadays, the use of a digital prototype in numerical modeling is one of the main approaches to calculating the elements of an inhomogeneous structure under the influence of external forces. The article considers a finite element analysis method based on computed tomography data. The calculations used a three-dimensional isoparametric finite element of a continuous medium developed by the authors with a linear approximation, based on weighted integration of the local stiffness matrix. The purpose of this study is to describe a general algorithm for constructing a numerical model that allows static calculation of objects with a porous structure according to its computed tomography data. Numerical modeling was carried out using kinematic boundary conditions. To evaluate the results obtained, computational and postprocessor grids were introduced. The qualitative assessment of the modeling data was based on the normalized error. Three-point bending of bone specimens of the pig forelimbs was considered as a model problem. The numerical simulation results were compared with the data obtained from a physical experiment. The relative error ranged from 3 to 15%, and the crack location, determined by the physical experiment, corresponded to the area where the ultimate strength values were exceeded, determined by numerical modeling. The results obtained reflect not only the effectiveness of the proposed approach, but also the agreement with experimental data. This method turned out to be relatively non-resource-intensive and time-efficient

    Topography of the crust-mantle boundary beneath the Black Sea Basin.

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    A map of Moho depth for the Black Sea and its immediate surroundings has been inferred from 3-D gravity modelling, and crustal structure has been clarified. Beneath the basin centre, the thickness of the crystalline layer is similar to that of the oceanic crust. In the Western and Eastern Black Sea basins, the Moho shallows to 19 and 22 km, respectively. Below the Tuapse Trough (northeastern margin, adjacent to the Caucasus orogen), the base of the crust is at 28 km, whereas in the Sorokin Trough, it is as deep as 34 km. The base of the crust lies at 29 and 33 km depths respectively below the southern and northern parts of the Mid-Black Sea Ridge. For the Shatsky Ridge (between the Tuapse Trough and the Eastern Black Sea Basin), the Moho plunges from the northwest (33 km) to the southeast (40 km). The Arkhangelsky Ridge (south of the Eastern Black Sea Basin) is characterised by a Moho depth of 32 km. The crust beneath these ridges is of continental type. Β© 2004 Elsevier B.V. All rights reserved
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