9 research outputs found
ΠΠ΅ΠΉΡΠΎΠ²ΠΎΡΠΏΠ°Π»ΠΈΡΠ΅Π»ΡΠ½ΡΠ΅, Π½Π΅ΠΉΡΠΎΠ΄Π΅Π³Π΅Π½Π΅ΡΠ°ΡΠΈΠ²Π½ΡΠ΅ ΠΈ ΡΡΡΡΠΊΡΡΡΠ½ΡΠ΅ ΡΠ΅ΡΠ΅Π±ΡΠ°Π»ΡΠ½ΡΠ΅ ΠΌΠ°ΡΠΊΠ΅ΡΡ ΠΎΡΠ½ΠΎΠ²Π½ΡΡ ΠΊΠ»ΠΈΠ½ΠΈΡΠ΅ΡΠΊΠΈΡ Π²Π°ΡΠΈΠ°Π½ΡΠΎΠ² ΠΏΠΎΡΡΠΈΠ½ΡΡΠ»ΡΡΠ½ΡΡ ΠΊΠΎΠ³Π½ΠΈΡΠΈΠ²Π½ΡΡ Π½Π°ΡΡΡΠ΅Π½ΠΈΠΉ Π² ΠΎΡΡΡΠΎΠΌ ΠΏΠ΅ΡΠΈΠΎΠ΄Π΅ ΠΈΡΠ΅ΠΌΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΈΠ½ΡΡΠ»ΡΡΠ°
Background. Post-stroke cognitive impairment is a clinically heterogeneous condition, some types of which cannot be fully differentiated neuropsychologicallyΒ that necessitates the active search for biomarkers. Aims: analyze parameters of neuroinflammation and neurodegeneration inΒ combination with neuroimaging markers in patients with different types of post-stroke cognitive impairment in acute ischemic stroke.Materials andΒ methods. In 72 patients we performed the assessment of cognitive status and distinguished 3 types: normal cognition, dysexecutive, and mixed cognitiveΒ impairment. In each group we determined the concentration of cytokines (IL-1Ξ², IL-6, TNFΞ±, IL-10) in liquor and serum, Ξ²-amyloid 1β40Β in liquor and a number of MRI morphometric parameters and fractional anisotropy.Results. In all groups of patients we detected higher level ofIL-10 in serum compared with the control. Patients with dysexecutive cognitive impairment had higher concentration of IL-1Ξ², IL-10 in liquor,Β IL-6 level in serum, lower fractional anisotropy of ipsilateral thalamus compared with patients with normal cognition and largest size of infarct.Β Patients with dysexecutive and mixed cognitive impairment had the higher area of leukoareosis and ventricular volume, reduced fractional anisotropyΒ of contralateral cingulum compared with patients with normal cognition. Patients with mixed cognitive impairment characterized by lowerΒ fractional anisotropy of contralateral fronto-occipital fasciculus compared with patients with dysexecutive cognitive deficit.Conclusions. SerumΒ and cerebrospinal fluid concentrations of cytokines studied in combination with MRI parameters particularly fractional anisotropy seems to beΒ informative biomarkers of pathogenic types of PSCI.ΠΠ±ΠΎΡΠ½ΠΎΠ²Π°Π½ΠΈΠ΅. ΠΠΎΡΡΠΈΠ½ΡΡΠ»ΡΡΠ½ΡΠ΅ ΠΊΠΎΠ³Π½ΠΈΡΠΈΠ²Π½ΡΠ΅ Π½Π°ΡΡΡΠ΅Π½ΠΈΡ ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»ΡΡΡ ΡΠΎΠ±ΠΎΠΉ ΠΊΠ»ΠΈΠ½ΠΈΡΠ΅ΡΠΊΠΈ Π³Π΅ΡΠ΅ΡΠΎΠ³Π΅Π½Π½ΠΎΠ΅ ΡΠΎΡΡΠΎΡΠ½ΠΈΠ΅, ΠΎΡΠ΄Π΅Π»ΡΠ½ΡΠ΅ Π²Π°ΡΠΈΠ°Π½ΡΡΒ ΠΊΠΎΡΠΎΡΠΎΠ³ΠΎ Π½Π΅ ΠΌΠΎΠ³ΡΡ Π±ΡΡΡ ΠΏΠΎΠ»Π½ΠΎΡΡΡΡ Π΄ΠΈΡΡΠ΅ΡΠ΅Π½ΡΠΈΡΠΎΠ²Π°Π½Ρ Π½Π΅ΠΉΡΠΎΠΏΡΠΈΡ
ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈ, ΡΡΠΎ ΠΎΠ±ΡΡΠ»ΠΎΠ²Π»ΠΈΠ²Π°Π΅Ρ Π½Π΅ΠΎΠ±Ρ
ΠΎΠ΄ΠΈΠΌΠΎΡΡΡ Π°ΠΊΡΠΈΠ²Π½ΠΎΠ³ΠΎ ΠΏΠΎΠΈΡΠΊΠ°Β Π±ΠΈΠΎΠΌΠ°ΡΠΊΠ΅ΡΠΎΠ².Π¦Π΅Π»Ρ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ: ΠΏΡΠΎΠ°Π½Π°Π»ΠΈΠ·ΠΈΡΠΎΠ²Π°ΡΡ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»ΠΈ Π½Π΅ΠΉΡΠΎΠ²ΠΎΡΠΏΠ°Π»Π΅Π½ΠΈΡ, Π½Π΅ΠΉΡΠΎΠ΄Π΅Π³Π΅Π½Π΅ΡΠ°ΡΠΈΠΈ Π² ΡΠΎΡΠ΅ΡΠ°Π½ΠΈΠΈ Ρ Π½Π΅ΠΉΡΠΎΠ²ΠΈΠ·ΡΠ°Π»ΠΈΠ·Π°ΡΠΈΠΎΠ½Π½ΡΠΌΠΈ ΠΌΠ°ΡΠΊΠ΅ΡΠ°ΠΌΠΈ Ρ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² Ρ ΡΠ°Π·Π»ΠΈΡΠ½ΡΠΌΠΈ Π²ΠΈΠ΄Π°ΠΌΠΈ ΠΏΠΎΡΡΠΈΠ½ΡΡΠ»ΡΡΠ½ΡΡ
ΠΊΠΎΠ³Π½ΠΈΡΠΈΠ²Π½ΡΡ
Π½Π°ΡΡΡΠ΅Π½ΠΈΠΉ Π² ΠΎΡΡΡΠΎΠΌ ΠΏΠ΅ΡΠΈΠΎΠ΄Π΅ Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΡ.ΠΠ΅ΡΠΎΠ΄Ρ. Π£Β 72 ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² ΠΏΡΠΎΠ²ΠΎΠ΄ΠΈΠ»ΠΎΡΡ ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΠ΅ ΠΊΠΎΠ³Π½ΠΈΡΠΈΠ²Π½ΠΎΠ³ΠΎ ΡΡΠ°ΡΡΡΠ° Ρ ΠΊΠ»Π°ΡΡΠΈΡΠΈΠΊΠ°ΡΠΈΠ΅ΠΉ Π΅Π³ΠΎ Π½Π° 3 Π²Π°ΡΠΈΠ°Π½ΡΠ°: Π½ΠΎΡΠΌΠ°Π»ΡΠ½ΡΠΉ ΠΊΠΎΠ³Π½ΠΈΡΠΈΠ²Π½ΡΠΉ ΡΡΠ°ΡΡΡ,Β Π΄ΠΈΡΡΠ΅Π³ΡΠ»ΡΡΠΎΡΠ½ΡΠ΅ ΠΈ ΡΠΌΠ΅ΡΠ°Π½Π½ΡΠ΅ ΠΊΠΎΠ³Π½ΠΈΡΠΈΠ²Π½ΡΠ΅ Π½Π°ΡΡΡΠ΅Π½ΠΈΡ. Π ΠΊΠ°ΠΆΠ΄ΠΎΠΉ ΠΏΠΎΠ΄Π³ΡΡΠΏΠΏΠ΅ ΠΎΠΏΡΠ΅Π΄Π΅Π»ΡΠ»ΠΈΡΡ ΠΊΠΎΠ½ΡΠ΅Π½ΡΡΠ°ΡΠΈΠΈ ΡΠΈΡΠΎΠΊΠΈΠ½ΠΎΠ² (IL1Ξ², IL6, TNFΞ±,Β IL10) Π² Π»ΠΈΠΊΠ²ΠΎΡΠ΅ ΠΈ ΡΡΠ²ΠΎΡΠΎΡΠΊΠ΅, Ξ²-Π°ΠΌΠΈΠ»ΠΎΠΈΠ΄Π° 1β40 Π² Π»ΠΈΠΊΠ²ΠΎΡΠ΅, Π° ΡΠ°ΠΊΠΆΠ΅ ΠΈΠ·ΠΌΠ΅ΡΡΠ»ΠΈΡΡ ΡΡΠ΄ ΠΌΠΎΡΡΠΎΠΌΠ΅ΡΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»Π΅ΠΉ ΠΈ ΡΡΠ°ΠΊΡΠΈΠΎΠ½Π½Π°ΡΒ Π°Π½ΠΈΠ·ΠΎΡΡΠΎΠΏΠΈΡ ΠΎΡΠ½ΠΎΠ²Π½ΡΡ
Π·ΠΎΠ½ ΠΈΠ½ΡΠ΅ΡΠ΅ΡΠ°. Π Π³ΡΡΠΏΠΏΡ ΠΊΠΎΠ½ΡΡΠΎΠ»Ρ Π²ΠΎΡΠ»ΠΈ 15 ΠΈΠ½Π΄ΠΈΠ²ΠΈΠ΄ΠΎΠ² Π±Π΅Π· ΡΠ΅ΡΠ΅Π±ΡΠΎΠ²Π°ΡΠΊΡΠ»ΡΡΠ½ΠΎΠ³ΠΎ Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΡ.Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ. ΠΠΎ Π²ΡΠ΅Ρ
Β ΠΏΠΎΠ΄Π³ΡΡΠΏΠΏΠ°Ρ
ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² ΠΎΠΏΡΠ΅Π΄Π΅Π»ΡΠ»ΡΡ Π±ΠΎΠ»Π΅Π΅ Π²ΡΡΠΎΠΊΠΈΠΉ ΡΡΠΎΠ²Π΅Π½Ρ IL10 Π² ΡΡΠ²ΠΎΡΠΎΡΠΊΠ΅ ΠΏΠΎ ΡΡΠ°Π²Π½Π΅Π½ΠΈΡ Ρ ΠΊΠΎΠ½ΡΡΠΎΠ»Π΅ΠΌ. Π£ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² Ρ Π΄ΠΈΡΡΠ΅Π³ΡΠ»ΡΡΠΎΡΠ½ΡΠΌΠΈΒ ΠΊΠΎΠ³Π½ΠΈΡΠΈΠ²Π½ΡΠΌΠΈ Π½Π°ΡΡΡΠ΅Π½ΠΈΡΠΌΠΈ Π²ΡΡΠ²Π»Π΅Π½Ρ Π±ΠΎΠ»Π΅Π΅ Π²ΡΡΠΎΠΊΠΈΠΉ ΡΡΠΎΠ²Π΅Π½Ρ IL1Ξ² ΠΈ IL10 Π² Π»ΠΈΠΊΠ²ΠΎΡΠ΅, IL6 Π² ΡΡΠ²ΠΎΡΠΎΡΠΊΠ΅, Π° ΡΠ°ΠΊΠΆΠ΅ Π±ΠΎΠ»Π΅Π΅ Π½ΠΈΠ·ΠΊΠ°Ρ ΡΡΠ°ΠΊΡΠΈΠΎΠ½Π½Π°Ρ Π°Π½ΠΈΠ·ΠΎΡΡΠΎΠΏΠΈΡ Π² Π·ΠΎΠ½Π΅ ΠΈΠΏΡΠΈΠ»Π°ΡΠ΅ΡΠ°Π»ΡΠ½ΠΎΠ³ΠΎ ΡΠ°Π»Π°ΠΌΡΡΠ° ΠΏΠΎ ΡΡΠ°Π²Π½Π΅Π½ΠΈΡ Ρ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠ°ΠΌΠΈ Π±Π΅Π· ΠΊΠΎΠ³Π½ΠΈΡΠΈΠ²Π½ΠΎΠ³ΠΎ Π΄Π΅ΡΠΈΡΠΈΡΠ° ΠΈ Π½Π°ΠΈΠ±ΠΎΠ»ΡΡΠΈΠΉ ΡΠ°Π·ΠΌΠ΅ΡΒ ΠΎΡΠ°Π³Π°. Π£ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² Ρ Π΄ΠΈΡΡΠ΅Π³ΡΠ»ΡΡΠΎΡΠ½ΡΠΌΠΈ ΠΈ ΡΠΌΠ΅ΡΠ°Π½Π½ΡΠΌΠΈ ΠΊΠΎΠ³Π½ΠΈΡΠΈΠ²Π½ΡΠΌΠΈ Π½Π°ΡΡΡΠ΅Π½ΠΈΡΠΌΠΈ Π²ΡΡΠ²Π»Π΅Π½Ρ Π±ΠΎΠ»ΡΡΠ°Ρ ΠΏΠ»ΠΎΡΠ°Π΄Ρ Π»Π΅ΠΉΠΊΠΎΠ°ΡΠ΅ΠΎΠ·Π° ΠΈ ΠΎΠ±ΡΠ΅ΠΌΒ ΠΆΠ΅Π»ΡΠ΄ΠΎΡΠΊΠΎΠ², Π° ΡΠ°ΠΊΠΆΠ΅ ΡΠ½ΠΈΠΆΠ΅Π½Π½Π°Ρ ΡΡΠ°ΠΊΡΠΈΠΎΠ½Π½Π°Ρ Π°Π½ΠΈΠ·ΠΎΡΡΠΎΠΏΠΈΡ Π² Π·ΠΎΠ½Π΅ ΠΊΠΎΠ½ΡΡΠ°Π»Π°ΡΠ΅ΡΠ°Π»ΡΠ½ΠΎΠ³ΠΎ ΡΠΈΠ½Π³ΡΠ»ΡΡΠ½ΠΎΠ³ΠΎ ΠΏΡΡΠΊΠ° ΠΏΠΎ ΡΡΠ°Π²Π½Π΅Π½ΠΈΡ Ρ Π±ΠΎΠ»ΡΠ½ΡΠΌΠΈΒ Ρ Π½ΠΎΡΠΌΠ°Π»ΡΠ½ΡΠΌ ΠΊΠΎΠ³Π½ΠΈΡΠΈΠ²Π½ΡΠΌ ΡΡΠ°ΡΡΡΠΎΠΌ. ΠΠ°ΡΠΈΠ΅Π½ΡΡ ΡΠΎ ΡΠΌΠ΅ΡΠ°Π½Π½ΡΠΌΠΈ ΠΊΠΎΠ³Π½ΠΈΡΠΈΠ²Π½ΡΠΌΠΈ Π½Π°ΡΡΡΠ΅Π½ΠΈΡΠΌΠΈ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΠ·ΠΎΠ²Π°Π»ΠΈΡΡ Π±ΠΎΠ»Π΅Π΅ Π½ΠΈΠ·ΠΊΠΎΠΉ ΡΡΠ°ΠΊΡΠΈΠΎΠ½Π½ΠΎΠΉ Π°Π½ΠΈΠ·ΠΎΡΡΠΎΠΏΠΈΠ΅ΠΉ ΠΏΡΠΎΡΠΈΠ²ΠΎΠΏΠΎΠ»ΠΎΠΆΠ½ΠΎΠ³ΠΎ ΠΎΡΠ°Π³Ρ Π½ΠΈΠΆΠ½Π΅Π³ΠΎ ΡΡΠΎΠ½ΡΠΎΠΎΠΊΡΠΈΠΏΠΈΡΠ°Π»ΡΠ½ΠΎΠ³ΠΎ ΠΏΡΡΠΊΠ° ΠΏΠΎ ΡΡΠ°Π²Π½Π΅Π½ΠΈΡ Ρ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠ°ΠΌΠΈ Ρ Π΄ΠΈΡΡΠ΅Π³ΡΠ»ΡΡΠΎΡΠ½ΡΠΌΒ ΠΏΠΎΠ·Π½Π°Π²Π°ΡΠ΅Π»ΡΠ½ΡΠΌ Π΄Π΅ΡΠΈΡΠΈΡΠΎΠΌ.ΠΠ°ΠΊΠ»ΡΡΠ΅Π½ΠΈΠ΅. Π‘ΡΠ²ΠΎΡΠΎΡΠΎΡΠ½ΡΠ΅ ΠΈ Π»ΠΈΠΊΠ²ΠΎΡΠ½ΡΠ΅ ΠΊΠΎΠ½ΡΠ΅Π½ΡΡΠ°ΡΠΈΠΈ ΠΈΠ·ΡΡΠ΅Π½Π½ΡΡ
ΡΠΈΡΠΎΠΊΠΈΠ½ΠΎΠ² Π² ΡΠΎΠ²ΠΎΠΊΡΠΏΠ½ΠΎΡΡΠΈ Ρ ΠΌΠ°Π³Π½ΠΈΡΠ½ΠΎ-ΡΠ΅Π·ΠΎΠ½Π°Π½ΡΠ½ΡΠΌΠΈ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»ΡΠΌΠΈ, Π² ΡΠ°ΡΡΠ½ΠΎΡΡΠΈ ΡΡΠ°ΠΊΡΠΈΠΎΠ½Π½ΠΎΠΉ Π°Π½ΠΈΠ·ΠΎΡΡΠΎΠΏΠΈΠ΅ΠΉ, ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»ΡΡΡΡΡ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠ²Π½ΡΠΌΠΈ ΠΌΠ°ΡΠΊΠ΅ΡΠ°ΠΌΠΈ ΠΏΠ°ΡΠΎΠ³Π΅Π½Π΅ΡΠΈΡΠ΅ΡΠΊΠΈΡ
Π²Π°ΡΠΈΠ°Π½ΡΠΎΠ² ΠΏΠΎΡΡΠΈΠ½ΡΡΠ»ΡΡΠ½ΡΡ
ΠΊΠΎΠ³Π½ΠΈΡΠΈΠ²Π½ΡΡ
Π½Π°ΡΡΡΠ΅Π½ΠΈΠΉ
Elemental analysis of archaeological ochre: method and possibilities of X-ray fluorescence spectroscopy (based on materials of Neolithic and Aeneolithic sites of the Middle Trans-Urals and Western Siberia)
The article is dedicated to methodological aspects of the elemental analysis (X-ray fluorescence spectroscopy) of a natural mineral pigment β ochre. We chose oxide ochre obtained from the Neolithic and Aeneolithic sites of the taiga zone of Western Siberia and the Middle Urals (the end of VI β III millennium BC) as a source base. The questions of selection and preparation of archaeological samples, and of interpretive capabilities of the chosen approach are discussed in the article
Nutrition in fasting and non-fasting women during the great orthodox lent
Introduction: During the Great Lent orthodox Christians abstain from meat, eggs and dairy for seven weeks. Fish and oils are allowed on certain days only. This leads to substantial changes in diet composition during this period. Aim: To compare nutrition of fasting and non-fasting women in Moscow. Methods: Daily intake of proteins, fats, carbohydrates and their fractions, water- and fat-soluble vitamins, macro-, micro- and ultra trace elements as well as the total caloric content of diet was estimated in 33 fasting and 32 non-fasting women during the Lent. Nutrition was assessed by frequency analysis using Nutrilogic software. Results: Fasting women had significantly higher intake of carbohydrates (412 g vs. 174 g) and fiber (42 g vs. 17 g), but lower intake of cholesterol (74 mg vs. 401 mg) and saturated fats (18 g vs. 30 g). Fasting women were less likely to consume insufficient amounts of vitamins B1 (12% vs. 91%), B3 (52% vs. 91%), B5 (52% vs. 91%), B6 (48% vs. 88%), B9 (42% vs. 94%) and E (24% vs. 72%), potassium (6% vs. 41%), magnesium (21% vs. 91%), iron (18% vs. 81%) and copper (3% vs. 41%). P < 0.001 for all comparisons. All women consumed insufficient amount of vitamin D with food. Conclusion: Diet of fasting women had more favourable macro- and micronutrient composition and was richer in vitamins except vitamin D. This dietary pattern may be associated with health benefits in fasting women. Β©2021 Π³
Single-Mode W-Type Optical Fiber Stable Against Bending and Radiation
It is shown that single-mode fluorosilicate optical fibers fabricated with the aid of modified chemical vapor deposition exhibit a significant decrease in the radiation resistance when 1 mol % GeO is introduced into the silica-glass core. Elimination of chlorine and OH group impurities in the silica glass of the core of the fluorosilicate single-mode fiber leads to a relatively low level of radiation-induced attenuation. Prior to radiation processing, the loss factors of optical fiber are 0.18 and 0.3 dB/km at wavelengths of 1.55 and 1.31 ΞΌm, respectively. The dependence of optical loss of such fibers on the bend diameter ranging from 6 to 12 mm is studied
Π hase composition and structure of multilayer nanosized metal-carbon coatings
ΠΠ΅ΡΠΎΠ΄Π°ΠΌΠΈ ΠΠ ΡΠΏΠ΅ΠΊΡΡΠΎΡΠΊΠΎΠΏΠΈΠΈ ΠΈ Π°ΡΠΎΠΌΠ½ΠΎ-ΡΠΈΠ»ΠΎΠ²ΠΎΠΉ ΠΌΠΈΠΊΡΠΎΡΠΊΠΎΠΏΠΈΠΈ ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΎ Π²Π»ΠΈΡΠ½ΠΈΠ΅ ΠΏΠΎΠ΄ΡΠ»ΠΎΠ΅Π² ΡΠ°Π·Π»ΠΈΡΠ½ΠΎΠΉ ΠΏΡΠΈΡΠΎΠ΄Ρ Π½Π° ΡΠ°Π·ΠΎΠ²ΡΠΉ ΡΠΎΡΡΠ°Π² ΠΈ ΠΌΠΎΡΡΠΎΠ»ΠΎΠ³ΠΈΡ ΠΎΠ΄Π½ΠΎΠΊΠΎΠΌΠΏΠΎΠ½Π΅Π½ΡΠ½ΡΡ
ΠΈ ΠΊΠΎΠΌΠΏΠΎΠ·ΠΈΡΠΈΠΎΠ½Π½ΡΡ
ΡΠ³Π»Π΅ΡΠΎΠ΄Π½ΡΡ
ΠΏΠΎΠΊΡΡΡΠΈΠΉ. ΠΠΎΠΊΠ°Π·Π°Π½ΠΎ, ΡΡΠΎ ΠΏΡΠΈ ΠΎΡΠ°ΠΆΠ΄Π΅Π½ΠΈΠΈ Π»Π΅Π³ΠΈΡΠΎΠ²Π°Π½Π½ΠΎΠ³ΠΎ ΡΠΈΡΠ°Π½ΠΎΠΌ ΡΠ³Π»Π΅ΡΠΎΠ΄Π½ΠΎΠ³ΠΎ ΠΏΠΎΠΊΡΡΡΠΈΡ Π½Π° ΠΏΠΎΠ΄ΡΠ»ΠΎΠ΅ ΡΠΈΡΠ°Π½Π° ΠΎΠ±ΡΠ°Π·ΡΡΡΡΡ Π±ΠΎΠ»Π΅Π΅ Π΄ΠΈΡΠΏΠ΅ΡΡΠ½ΡΠ΅ Π‘sp
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ΠΊΠ»Π°ΡΡΠ΅ΡΡ. ΠΡΠΈ
ΡΡΠΎΠΌ Π»Π΅Π³ΠΈΡΠΎΠ²Π°Π½Π½ΡΠ΅ ΡΠ³Π»Π΅ΡΠΎΠ΄Π½ΡΠ΅ ΠΏΠΎΠΊΡΡΡΠΈΡ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΠ·ΡΡΡΡΡ ΠΌΠ΅Π½ΡΡΠΈΠΌΠΈ ΡΠ΅ΡΠΎΡ
ΠΎΠ²Π°ΡΠΎΡΡΡΡ ΠΈ ΡΠ°Π·ΠΌΠ΅ΡΠΎΠΌ Π·Π΅ΡΠ½Π°.The influence of sublayers of various nature on the phase composition and morphology of one-component and composite carbon coatings is determined by the methods of Raman spectroscopyand atomic force microscopy. It is shown that when depositing titanium-doped carbon coating on a titanium sublayer, more dispersed Csp 2 clusters are formed. At the same time, doped
carbon coatings are characterized by lower roughness and grain size