20 research outputs found

    Control of the magnitude and spatial distribution of interference energy flows in near fields of systems of identical radiators

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    The problem of active control for both the magnitude and spatial distribution of individual components of the interference component of the Poynting vector within the near zone of a system of radiators is studied. The characteristic size of this zone is on the order of the wavelength and is characterized by the presence of evanescent (nonpropagating) fields, which are formed due to the interference interaction of radiators. Using multipole expansions for fields and special summation formulas for such expansions allows one to obtain concise expressions convenient in carrying out numerical calculations. The results of calculations confirm the feasibility of the above-mentioned control in principle in solving problems of medium and object sensing

    The role played by evanescent fields in the process of formation of radiation of combined radiating systems

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    The problem of active controlling of the structure of fields of combined radiating systems within their near zone is studied. The characteristic size of this zone is on the order of the wavelength and is characterized by the presence of evanescent (nonpropagating) fields, which are formed, among other things, due to the interference interaction of radiators of the system. Using multipole expansions for fields and special summation formulas for such expansions allows one to obtain concise expressions convenient in carrying out numerical calculations. The results of calculations confirm that the evanescent fields’ structure plays a significant part in the process of the formation of the radiation field

    Ѐракционная анизотропия Π±Π΅Π»ΠΎΠ³ΠΎ ΠΈ сСрого вСщСства Π³ΠΎΠ»ΠΎΠ²Π½ΠΎΠ³ΠΎ ΠΌΠΎΠ·Π³Π° Π² остром ΠΏΠ΅Ρ€ΠΈΠΎΠ΄Π΅ ΠΈΡˆΠ΅ΠΌΠΈΡ‡Π΅ΡΠΊΠΎΠ³ΠΎ ΠΈΠ½ΡΡƒΠ»ΡŒΡ‚Π° ΠΊΠ°ΠΊ ΠΌΠ°Ρ€ΠΊΠ΅Ρ€ нСврологичСского, ΠΊΠΎΠ³Π½ΠΈΡ‚ΠΈΠ²Π½ΠΎΠ³ΠΎ ΠΈ Ρ„ΡƒΠ½ΠΊΡ†ΠΈΠΎΠ½Π°Π»ΡŒΠ½ΠΎΠ³ΠΎ статуса

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    Aim. To study the fractional anisotropy of white and gray brain matter and its associations with clinical and instrumental data in acute ischemic stroke. Materials and methods. The parameters of fractional anisotropy of 10 areas of white and gray brain matter were analyzed in 30 acute ischemic stroke patients by diffusion-tensor imaging. The neurological (NIHSS), cognitive (MMSE), functional (Rivermead Mobility Index and Modified Rankin Scale) and some laboratory and instrumental data were assessed. Results. The fraction anisotropy was analyzed on the side of lesion and symmetrically. The decline of anisotropy was revealed in posterior limb of internal capsule on the side of stroke independently of the lesion location. Also the interactions between fraction anisotropy and stroke severity, global cognitive status and duration of hospital treatment were found. Conclusion. The obtained data may suggest that in acute period of stroke the neurodegeneration and neuroreparational ready start. It appears the changes of white and gray matter integrity. According to the concept β€œheart-vessels-brain” we received the data indicating the significance of vascular risk factors which lead to hypoperfusion and hypoxia in the development of microstructural changes. Some parameters of fractional anisotropy may predict clinical and functional outcome on discharge.ЦСль исслСдования: ΠΎΡ†Π΅Π½ΠΈΡ‚ΡŒ Ρ„Ρ€Π°ΠΊΡ†ΠΈΠΎΠ½Π½ΡƒΡŽ Π°Π½ΠΈΠ·ΠΎΡ‚Ρ€ΠΎΠΏΠΈΡŽ Π±Π΅Π»ΠΎΠ³ΠΎ ΠΈ сСрого вСщСства Π³ΠΎΠ»ΠΎΠ²Π½ΠΎΠ³ΠΎ ΠΌΠΎΠ·Π³Π° ΠΈ Π΅Π΅ связь с ΠΊΠ»ΠΈΠ½ΠΈΠΊΠΎ-ΠΈΠ½ΡΡ‚Ρ€ΡƒΠΌΠ΅Π½Ρ‚Π°Π»ΡŒΠ½Ρ‹ΠΌΠΈ характСристиками Π² остром ΠΏΠ΅Ρ€ΠΈΠΎΠ΄Π΅ ΠΈΡˆΠ΅ΠΌΠΈΡ‡Π΅ΡΠΊΠΎΠ³ΠΎ ΠΈΠ½ΡΡƒΠ»ΡŒΡ‚Π°. ΠœΠ°Ρ‚Π΅Ρ€ΠΈΠ°Π» ΠΈ ΠΌΠ΅Ρ‚ΠΎΠ΄Ρ‹. Π˜Π·ΠΌΠ΅Ρ€Π΅Π½Ρ‹ ΠΏΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»ΠΈ Ρ„Ρ€Π°ΠΊΡ†ΠΈΠΎΠ½Π½ΠΎΠΉ Π°Π½ΠΈΠ·ΠΎΡ‚Ρ€ΠΎΠΏΠΈΠΈ 10 Π·ΠΎΠ½ Π±Π΅Π»ΠΎΠ³ΠΎ ΠΈ сСрого вСщСства Π³ΠΎΠ»ΠΎΠ²Π½ΠΎΠ³ΠΎ ΠΌΠΎΠ·Π³Π° Ρƒ 30 ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² Π² остром ΠΏΠ΅Ρ€ΠΈΠΎΠ΄Π΅ ΠΈΡˆΠ΅ΠΌΠΈΡ‡Π΅ΡΠΊΠΎΠ³ΠΎ ΠΈΠ½ΡΡƒΠ»ΡŒΡ‚Π° ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠΌ Π΄ΠΈΡ„Ρ„ΡƒΠ·ΠΈΠΎΠ½Π½ΠΎ-Ρ‚Π΅Π½Π·ΠΎΡ€Π½ΠΎΠ³ΠΎ изобраТСния. ΠžΡ†Π΅Π½Π΅Π½Ρ‹ ΠΏΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»ΠΈ нСврологичСского (NIHSS), ΠΊΠΎΠ³Π½ΠΈΡ‚ΠΈΠ²Π½ΠΎΠ³ΠΎ (MMSE), Ρ„ΡƒΠ½ΠΊΡ†ΠΈΠΎΠ½Π°Π»ΡŒΠ½ΠΎΠ³ΠΎ статусов (индСкс ΠΌΠΎΠ±ΠΈΠ»ΡŒΠ½ΠΎΡΡ‚ΠΈ Π ΠΈΠ²Π΅Ρ€ΠΌΠΈΠ΄ ΠΈ модифицированная шкала Π Π΅Π½ΠΊΠΈΠ½Π°), Π° Ρ‚Π°ΠΊΠΆΠ΅ Π»Π°Π±ΠΎΡ€Π°Ρ‚ΠΎΡ€Π½ΠΎ-ΠΈΠ½ΡΡ‚Ρ€ΡƒΠΌΠ΅Π½Ρ‚Π°Π»ΡŒΠ½Ρ‹Π΅ Π΄Π°Π½Π½Ρ‹Π΅. Π Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹. ΠŸΡ€ΠΎΠ°Π½Π°Π»ΠΈΠ·ΠΈΡ€ΠΎΠ²Π°Π½Ρ‹ различия Ρ„Ρ€Π°ΠΊΡ†ΠΈΠΎΠ½Π½ΠΎΠΉ Π°Π½ΠΈΠ·ΠΎΡ‚Ρ€ΠΎΠΏΠΈΠΈ Π½Π° сторонС ΠΎΡ‡Π°Π³Π° пораТСния ΠΈ симмСтричных участках Π³ΠΎΠ»ΠΎΠ²Π½ΠΎΠ³ΠΎ ΠΌΠΎΠ·Π³Π°. ВыявлСно сниТСниС показатСля Π² Π·ΠΎΠ½Π΅ Π·Π°Π΄Π½Π΅ΠΉ Π½ΠΎΠΆΠΊΠΈ Π²Π½ΡƒΡ‚Ρ€Π΅Π½Π½Π΅ΠΉ капсулы Π½Π° сторонС ΠΎΡ‡Π°Π³Π° ΠΏΠΎ ΡΡ€Π°Π²Π½Π΅Π½ΠΈΡŽ с симмСтричными Π·ΠΎΠ½Π°ΠΌΠΈ ΠΈΠ½Ρ‚Π°ΠΊΡ‚Π½ΠΎΠ³ΠΎ ΠΏΠΎΠ»ΡƒΡˆΠ°Ρ€ΠΈΡ Π²Π½Π΅ зависимости ΠΎΡ‚ располоТСния Π·ΠΎΠ½Ρ‹ ΠΈΠ½Ρ„Π°Ρ€ΠΊΡ‚Π°. ΠŸΡ€ΠΎΠ΄Π΅ΠΌΠΎΠ½ΡΡ‚Ρ€ΠΈΡ€ΠΎΠ²Π°Π½Π° взаимосвязь ΠΌΠ΅ΠΆΠ΄Ρƒ значСниями Ρ„Ρ€Π°ΠΊΡ†ΠΈΠΎΠ½Π½ΠΎΠΉ Π°Π½ΠΈΠ·ΠΎΡ‚Ρ€ΠΎΠΏΠΈΠΈ Π² исслСдованных Π·ΠΎΠ½Π°Ρ… со ΡΡ‚Π΅ΠΏΠ΅Π½ΡŒΡŽ нСврологичСского Π΄Π΅Ρ„ΠΈΡ†ΠΈΡ‚Π° ΠΈ ΠΊΠΎΠ³Π½ΠΈΡ‚ΠΈΠ²Π½Ρ‹ΠΌ статусом ΠΏΡ€ΠΈ выпискС, Π° Ρ‚Π°ΠΊΠΆΠ΅ Π΄Π»ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΡΡ‚ΡŒΡŽ лСчСния. Π—Π°ΠΊΠ»ΡŽΡ‡Π΅Π½ΠΈΠ΅. ΠŸΡ€ΠΎΠ²Π΅Π΄Π΅Π½Π½ΠΎΠ΅ исслСдованиС ΠΌΠΎΠΆΠ΅Ρ‚ ΡΠ²ΠΈΠ΄Π΅Ρ‚Π΅Π»ΡŒΡΡ‚Π²ΠΎΠ²Π°Ρ‚ΡŒ ΠΎ Ρ‚ΠΎΠΌ, Ρ‡Ρ‚ΠΎ ΡƒΠΆΠ΅ Π² остром ΠΏΠ΅Ρ€ΠΈΠΎΠ΄Π΅ ΠΈΡˆΠ΅ΠΌΠΈΡ‡Π΅ΡΠΊΠΎΠ³ΠΎ ΠΈΠ½ΡΡƒΠ»ΡŒΡ‚Π° ΠΏΠ°Ρ€Π°Π»Π»Π΅Π»ΡŒΠ½ΠΎ ΠΈΠ½ΠΈΡ†ΠΈΠΈΡ€ΡƒΡŽΡ‚ΡΡ процСссы Π½Π΅ΠΉΡ€ΠΎΠ΄Π΅Π³Π΅Π½Π΅Ρ€Π°Ρ†ΠΈΠΈ ΠΈ Π½Π΅ΠΉΡ€ΠΎΡ€Π΅ΠΏΠ°Ρ€Π°Ρ†ΠΈΠΈ, ΠΏΡ€ΠΎΡΠ²Π»ΡΡŽΡ‰ΠΈΠ΅ΡΡ ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ΠΌ ΠΈΠ½Ρ‚Π΅Π³Ρ€Π°Π»ΡŒΠ½ΠΎΡΡ‚ΠΈ Π±Π΅Π»ΠΎΠ³ΠΎ ΠΈ сСрого вСщСства Π³ΠΎΠ»ΠΎΠ²Π½ΠΎΠ³ΠΎ ΠΌΠΎΠ·Π³Π°. Π’ ΠΏΠΎΠ΄Ρ‚Π²Π΅Ρ€ΠΆΠ΄Π΅Π½ΠΈΠ΅ ΠΊΠΎΠ½Ρ†Π΅ΠΏΡ†ΠΈΠΈ β€œΡΠ΅Ρ€Π΄Ρ†Π΅-сосуды-мозг” ΠΏΠΎΠ»ΡƒΡ‡Π΅Π½Ρ‹ Π΄Π°Π½Π½Ρ‹Π΅ ΠΎ значимости сосудистых Ρ„Π°ΠΊΡ‚ΠΎΡ€ΠΎΠ² риска, ΠΎΠ±ΡƒΡΠ»ΠΎΠ²Π»ΠΈΠ²Π°ΡŽΡ‰ΠΈΡ… Π³ΠΈΠΏΠΎΠΏΠ΅Ρ€Ρ„ΡƒΠ·ΠΈΡŽ ΠΈ гипоксию, Π² Ρ€Π°Π·Π²ΠΈΡ‚ΠΈΠΈ микроструктурных ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΠΉ ΠΈΠ·ΡƒΡ‡Π΅Π½Π½Ρ‹Ρ… Π·ΠΎΠ½ ΠΌΠΎΠ·Π³Π°. Ряд ΠΏΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»Π΅ΠΉ Ρ„Ρ€Π°ΠΊΡ†ΠΈΠΎΠ½Π½ΠΎΠΉ Π°Π½ΠΈΠ·ΠΎΡ‚Ρ€ΠΎΠΏΠΈΠΈ, рассмотрСнных Π² Ρ€Π°Π±ΠΎΡ‚Π΅, ΠΌΠΎΠ³ΡƒΡ‚ ΡΠ»ΡƒΠΆΠΈΡ‚ΡŒ ΠΏΡ€Π΅Π΄ΠΈΠΊΡ‚ΠΎΡ€Π°ΠΌΠΈ нСврологичСского ΠΈ Ρ„ΡƒΠ½ΠΊΡ†ΠΈΠΎΠ½Π°Π»ΡŒΠ½ΠΎΠ³ΠΎ исхода ΠΏΡ€ΠΈ выпискС ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² ΠΈΠ· стационара

    Амилоид-Π±Π΅Ρ‚Π° 40 ΠΊΠ°ΠΊ Π±ΠΈΠΎΠΌΠ°Ρ€ΠΊΠ΅Ρ€ ΠΊΠΎΠ³Π½ΠΈΡ‚ΠΈΠ²Π½Ρ‹Ρ… Π½Π°Ρ€ΡƒΡˆΠ΅Π½ΠΈΠΉ Π² остром ΠΏΠ΅Ρ€ΠΈΠΎΠ΄Π΅ ΠΈΡˆΠ΅ΠΌΠΈΡ‡Π΅ΡΠΊΠΎΠ³ΠΎ ΠΈΠ½ΡΡƒΠ»ΡŒΡ‚Π°

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    Aim: to study the role of amyloid-beta 40 (AΞ² 40) in the development of cognitive impairment in acute ischemic stroke.Materials and methods. The study included 70 patients aged 33–86 years, 46 men and 24 women. In patients with acute ischemic stroke cognitive status was assessed with Mini-Mental State Examination (MMSE), Montreal Cognitive Assessment Test (MoCA), Frontal Assessment Battery (FAB), Schulte tables, Clock Drawing Test, Test for Semantic Verbal Fluency and Five Words Test. The concentration of AΞ² 40 in the cerebrospinal fluid was determined. Morphometric (size of the infarct and leukoaraiosis area, volume of the brain ventricles and hippocampus) and diffusion-tensor parameters of MRI (fractional anisotropy of putamen, thalamus, hippocampus, corpus callosum, limbs of the internal capsule, the cingulate, the superior longitudinal and inferior fronto-occipital tracts) were studied.Results. The concentration of AΞ² 40 in the cerebrospinal fluid was 436,4 (226,0–514,0) pg/ml. The protein level was associated with the result of subtests Β«OrientationΒ» (MMSE) and Β«AttentionΒ» (MoCA), as well as indirect recall with cues in MoCA. Patients with MMSE score of 24–27 points were characterized by a lower concentration of AΞ² 40 as compared to patients with a score less than 24 points. AΞ² 40 concentration more than 436,4 pg/mL was associated with a more severe somatic co-morbidity of stroke (hypertension, lower hemoglobin and albumin level, higher erythrocyte sedimentation rate), a smaller volume of the brain ventricles, lower fractional anisotropy of the thalamus, cingulate tracts and contralateral hippocampus. AΞ² 40 concentration more than 436,4 pg/mL was also associated with a lower global cognitive status (according to the MMSE and MoCA), as well as the reduction in certain cognitive functions, namely, attention, visual-spatial functions and memory.Conclusions. The concentration of AΞ² 40 in the cerebrospinal fluid is a biological marker of severity type of post-stroke cognitive impairment. This interaction is probably due to the damage to the hippocampus, thalamus and cingulate tracts. In our opinion, the biomarker reflects both ischemic and neurodegenerative components of the pathogenesis of cognitive impairment in acute ischemic stroke.ЦСль исслСдования. Π˜Π·ΡƒΡ‡Π΅Π½ΠΈΠ΅ Ρ€ΠΎΠ»ΠΈ Π°ΠΌΠΈΠ»ΠΎΠΈΠ΄Π°-Π±Π΅Ρ‚Π° 40 (AΞ² 40) Π² Ρ€Π°Π·Π²ΠΈΡ‚ΠΈΠΈ ΠΊΠΎΠ³Π½ΠΈΡ‚ΠΈΠ²Π½Ρ‹Ρ… Π½Π°Ρ€ΡƒΡˆΠ΅Π½ΠΈΠΉ Π² остром ΠΏΠ΅Ρ€ΠΈΠΎΠ΄Π΅ ΠΈΡˆΠ΅ΠΌΠΈΡ‡Π΅ΡΠΊΠΎΠ³ΠΎ ΠΈΠ½ΡΡƒΠ»ΡŒΡ‚Π°.ΠœΠ°Ρ‚Π΅Ρ€ΠΈΠ°Π» ΠΈ ΠΌΠ΅Ρ‚ΠΎΠ΄Ρ‹. ΠžΠ±ΡΠ»Π΅Π΄ΠΎΠ²Π°Π½Ρ‹ 70 ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² Π² возрастС 33–86 Π»Π΅Ρ‚, ΠΈΠ· ΠΊΠΎΡ‚ΠΎΡ€Ρ‹Ρ… 46 ΠΌΡƒΠΆΡ‡ΠΈΠ½ ΠΈ 24 ΠΆΠ΅Π½Ρ‰ΠΈΠ½Ρ‹.Π£ ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² Π² остром ΠΏΠ΅Ρ€ΠΈΠΎΠ΄Π΅ ΠΈΡˆΠ΅ΠΌΠΈΡ‡Π΅ΡΠΊΠΎΠ³ΠΎ ΠΈΠ½ΡΡƒΠ»ΡŒΡ‚Π° ΠΏΡ€ΠΎΠ²ΠΎΠ΄ΠΈΠ»Π°ΡΡŒ ΠΎΡ†Π΅Π½ΠΊΠ° ΠΊΠΎΠ³Π½ΠΈΡ‚ΠΈΠ²Π½ΠΎΠ³ΠΎ статуса (краткая шкала ΠΎΡ†Π΅Π½ΠΊΠΈ психичСского статуса (MMSE), ΠœΠΎΠ½Ρ€Π΅Π°Π»ΡŒΡΠΊΠ°Ρ шкала ΠΎΡ†Π΅Π½ΠΊΠΈ ΠΊΠΎΠ³Π½ΠΈΡ‚ΠΈΠ²Π½Ρ‹Ρ… Ρ„ΡƒΠ½ΠΊΡ†ΠΈΠΉ (MoCA), батарСя Π»ΠΎΠ±Π½Ρ‹Ρ… тСстов (FAB), Ρ‚Π°Π±Π»ΠΈΡ†Ρ‹ Π¨ΡƒΠ»ΡŒΡ‚Π΅, тСст рисования часов, тСст Π½Π° ΡΠ΅ΠΌΠ°Π½Ρ‚ΠΈΡ‡Π΅ΡΠΊΡƒΡŽ Π²Π΅Ρ€Π±Π°Π»ΡŒΠ½ΡƒΡŽ Π±Π΅Π³Π»ΠΎΡΡ‚ΡŒ ΠΈ тСст пяти слов). Π’Π°ΠΊΠΆΠ΅ исслСдовалась ΠΊΠΎΠ½Ρ†Π΅Π½Ρ‚Ρ€Π°Ρ†ΠΈΠΈ Аβ 40 Π² Π»ΠΈΠΊΠ²ΠΎΡ€Π΅, ΠΈΠ·ΡƒΡ‡Π°Π»ΠΈΡΡŒ морфомСтричСскиС (Ρ€Π°Π·ΠΌΠ΅Ρ€ ΠΎΡ‡Π°Π³Π° ΠΈΠ½Ρ„Π°Ρ€ΠΊΡ‚Π° ΠΈ ΠΏΠ»ΠΎΡ‰Π°Π΄ΡŒ Π»Π΅ΠΉΠΊΠΎΠ°Ρ€Π΅ΠΎΠ·Π°, объСм ΠΆΠ΅Π»ΡƒΠ΄ΠΎΡ‡ΠΊΠΎΠ² ΠΌΠΎΠ·Π³Π° ΠΈ Π³ΠΈΠΏΠΏΠΎΠΊΠ°ΠΌΠΏΠΎΠ²) ΠΈ Π΄ΠΈΡ„Ρ„ΡƒΠ·ΠΈΠΎΠ½Π½ΠΎ-Ρ‚Π΅Π½Π·ΠΎΡ€Π½Ρ‹Π΅ ΠΏΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»ΠΈ (фракционная анизотропия скорлупы, таламуса, Π³ΠΈΠΏΠΏΠΎΠΊΠ°ΠΌΠΏΠ°, мозолистого Ρ‚Π΅Π»Π°, Π½ΠΎΠΆΠ΅ΠΊ Π²Π½ΡƒΡ‚Ρ€Π΅Π½Π½Π΅ΠΉ капсулы, цингулярного, Π²Π΅Ρ€Ρ…Π½Π΅Π³ΠΎ ΠΏΡ€ΠΎΠ΄ΠΎΠ»ΡŒΠ½ΠΎΠ³ΠΎ ΠΈ Π½ΠΈΠΆΠ½Π΅Π³ΠΎ Ρ„Ρ€ΠΎΠ½Ρ‚ΠΎ-ΠΎΠΊΡ†ΠΈΠΏΠΈΡ‚Π°Π»ΡŒΠ½ΠΎΠ³ΠΎ ΠΏΡƒΡ‡ΠΊΠΎΠ²) ΠΌΠ°Π³Π½ΠΈΡ‚Π½ΠΎ-рСзонансной Ρ‚ΠΎΠΌΠΎΠ³Ρ€Π°Ρ„ΠΈΠΈ.Π Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹. ΠšΠΎΠ½Ρ†Π΅Π½Ρ‚Ρ€Π°Ρ†ΠΈΡ Аβ 40 Π² Π»ΠΈΠΊΠ²ΠΎΡ€Π΅ составила 436,4 (226,0–514,0) ΠΏΠ³/ΠΌΠ» ΠΈ Π±Ρ‹Π»Π° ассоциирована с Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚ΠΎΠΌ субтСстов «ориСнтация» (MMSE) ΠΈ Β«Π²Π½ΠΈΠΌΠ°Π½ΠΈΠ΅Β» (MoCA), Π° Ρ‚Π°ΠΊΠΆΠ΅ опосрСдованным воспроизвСдСниСм Π² MoCA. ΠŸΠ°Ρ†ΠΈΠ΅Π½Ρ‚Ρ‹ с Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚ΠΎΠΌ MMSE 24–27 Π±Π°Π»Π»ΠΎΠ² Ρ…Π°Ρ€Π°ΠΊΡ‚Π΅Ρ€ΠΈΠ·ΠΎΠ²Π°Π»ΠΈΡΡŒ Π±ΠΎΠ»Π΅Π΅ Π½ΠΈΠ·ΠΊΠΎΠΉ ΠΊΠΎΠ½Ρ†Π΅Π½Ρ‚Ρ€Π°Ρ†ΠΈΠ΅ΠΉ Аβ 40 ΠΏΠΎ ΡΡ€Π°Π²Π½Π΅Π½ΠΈΡŽ с ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚Π°ΠΌΠΈ с Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚ΠΎΠΌ ΡˆΠΊΠ°Π»Ρ‹ ΠΌΠ΅Π½Π΅Π΅ 24 Π±Π°Π»Π»ΠΎΠ². ΠšΠΎΠ½Ρ†Π΅Π½Ρ‚Ρ€Π°Ρ†ΠΈΡ Аβ 40 Π±ΠΎΠ»Π΅Π΅ 436,4 ΠΏΠ³/ΠΌΠ» Π±Ρ‹Π»Π° связана с Π±ΠΎΠ»Π΅Π΅ Π²Ρ‹Ρ€Π°ΠΆΠ΅Π½Π½ΠΎΠΉ соматичСской ΠΊΠΎΠΌΠΎΡ€Π±ΠΈΠ΄Π½ΠΎΡΡ‚ΡŒΡŽ ΠΈΠ½ΡΡƒΠ»ΡŒΡ‚Π° (Π°Ρ€Ρ‚Π΅Ρ€ΠΈΠ°Π»ΡŒΠ½Π°Ρ гипСртСнзия, Π±ΠΎΠ»Π΅Π΅ Π½ΠΈΠ·ΠΊΠΎΠ΅ содСрТаниС Π³Π΅ΠΌΠΎΠ³Π»ΠΎΠ±ΠΈΠ½Π° ΠΈ Π°Π»ΡŒΠ±ΡƒΠΌΠΈΠ½Π° ΠΊΡ€ΠΎΠ²ΠΈ, Π±ΠΎΠ»Π΅Π΅ высокая ΡΠΊΠΎΡ€ΠΎΡΡ‚ΡŒ осСдания эритороцитов), мСньшим объСмом ΠΆΠ΅Π»ΡƒΠ΄ΠΎΡ‡ΠΊΠΎΠ² ΠΌΠΎΠ·Π³Π°, Π±ΠΎΠ»Π΅Π΅ Π½ΠΈΠ·ΠΊΠΎΠΉ Ρ„Ρ€Π°ΠΊΡ†ΠΈΠΎΠ½Π½ΠΎΠΉ Π°Π½ΠΈΠ·ΠΎΡ‚Ρ€ΠΎΠΏΠΈΠ΅ΠΉ таламусов, цингулярных ΠΏΡƒΡ‡ΠΊΠΎΠ² ΠΈ ΠΊΠΎΠ½Ρ‚Ρ€Π°Π»Π°Ρ‚Π΅Ρ€Π°Π»ΡŒΠ½ΠΎΠ³ΠΎ Π³ΠΈΠΏΠΏΠΎΠΊΠ°ΠΏΠΌΠ° ΠΈ ассоциирована с Π±ΠΎΠ»Π΅Π΅ Π½ΠΈΠ·ΠΊΠΈΠΌ Π³Π»ΠΎΠ±Π°Π»ΡŒΠ½Ρ‹ΠΌ ΠΊΠΎΠ³Π½ΠΈΡ‚ΠΈΠ²Π½Ρ‹ΠΌ статусом (ΠΏΠΎ Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Π°ΠΌ MMSE ΠΈ MoCA), Π° Ρ‚Π°ΠΊΠΆΠ΅ сниТСниСм ΠΎΡ‚Π΄Π΅Π»ΡŒΠ½Ρ‹Ρ… ΠΊΠΎΠ³Π½ΠΈΡ‚ΠΈΠ²Π½Ρ‹Ρ… Ρ„ΡƒΠ½ΠΊΡ†ΠΈΠΉ, Π° ΠΈΠΌΠ΅Π½Π½ΠΎ внимания, Π·Ρ€ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎ-пространствСнного гнозиса ΠΈ памяти.Π’Ρ‹Π²ΠΎΠ΄Ρ‹. ΠšΠΎΠ½Ρ†Π΅Π½Ρ‚Ρ€Π°Ρ†ΠΈΡ Аβ 40 Π² спинномозговой Тидкости являСтся биологичСским ΠΌΠ°Ρ€ΠΊΠ΅Ρ€ΠΎΠΌ ΠΊΠ°ΠΊ выраТСнности, Ρ‚Π°ΠΊ ΠΈ Ρ…Π°Ρ€Π°ΠΊΡ‚Π΅Ρ€Π° ΠΏΠΎΡΡ‚ΠΈΠ½ΡΡƒΠ»ΡŒΡ‚Π½Ρ‹Ρ… ΠΊΠΎΠ³Π½ΠΈΡ‚ΠΈΠ²Π½Ρ‹Ρ… Π½Π°Ρ€ΡƒΡˆΠ΅Π½ΠΈΠΉ, Ρ‡Ρ‚ΠΎ, вСроятно, опосрСдовано ΠΏΠΎΠ²Ρ€Π΅ΠΆΠ΄Π΅Π½ΠΈΠ΅ΠΌ Π³ΠΈΠΏΠΏΠΎΠΊΠ°ΠΌΠΏΠΎΠ², таламуса ΠΈ цингулярных Ρ‚Ρ€Π°ΠΊΡ‚ΠΎΠ². ΠŸΡ€ΠΈ этом, Π½Π° наш взгляд, Π±ΠΈΠΎΠΌΠ°Ρ€ΠΊΠ΅Ρ€ ΠΎΡ‚Ρ€Π°ΠΆΠ°Π΅Ρ‚ ΠΊΠ°ΠΊ сосудистый, ΠΈΠ»ΠΈ ΠΈΡˆΠ΅ΠΌΠΈΡ‡Π΅ΡΠΊΠΈΠΉ, ΠΊΠΎΠΌΠΏΠΎΠ½Π΅Π½Ρ‚ ΠΏΠ°Ρ‚ΠΎΠ³Π΅Π½Π΅Π·Π° ΠΊΠΎΠ³Π½ΠΈΡ‚ΠΈΠ²Π½Ρ‹Ρ… Π½Π°Ρ€ΡƒΡˆΠ΅Π½ΠΈΠΉ Π² остром ΠΏΠ΅Ρ€ΠΈΠΎΠ΄Π΅ ΠΈΡˆΠ΅ΠΌΠΈΡ‡Π΅ΡΠΊΠΎΠ³ΠΎ ΠΈΠ½ΡΡƒΠ»ΡŒΡ‚Π°, Ρ‚Π°ΠΊ ΠΈ влияниС Π°ΠΌΠΈΠ»ΠΎΠΈΠ΄-опосрСдованной Π½Π΅ΠΉΡ€ΠΎΠ΄Π΅Π³Π΅Π½Π΅Ρ€Π°Ρ†ΠΈΠΈ

    Development of a digital model of the working process of a hydraulic excavator

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    In this work, we consider a method for determining the rational values of the structural and operational parameters of the lever - hydraulic mechanisms of hydraulic excavators based on an analysis of the results of a computational experiment obtained at the output of a mathematical model of a workflow. It is shown that the presence of kinematic connections between the engine (hydraulic cylinder) and the links of the lever-hydraulic mechanism causes a change in the relationship between the operating parameters of the engine and the power parameters implemented on the driven members (bucket, handle and arrow), depending on the geometric parameters (lengths) of links and coordinates of points (axes) connections links. A simulation model of the working process is developed, which allows to determine the operational parameters of the lever - hydraulic mechanisms

    Features of designing hydraulic excavator in APM WinMachine

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    The urgency of the work is due to the need for design departments involved in the design of hydraulic excavators in techniques. Allowing to reduce the weight of excavators while providing at the same time sufficient reliability. The purpose of the work: development of a technique for application in the design of excavators of calculation modules based on the use of finite elements. Research methodology: modeling of working equipment. For a hydraulic excavator with a β€œdirect” shovel working equipment, a mathematical model for calculating effort, an algorithm and a program in an algorithmic language have been developed, which allow to determine the working area of the excavator, possible digging forces, and efforts in the elements of the working equipment. To calculate stresses in the design of the working equipment, two modeling options are proposed: the models for the Strucrure 3D computational module are compiled separately for the bucket of the handle and the boom, the interaction of the models is carried out by efforts that are determined by the specified digging forces; a complete model of all the working equipment for the calculation module is compiled, without the need to calculate the loads between the elements, the calculation is carried out directly by the digging force. For the first variant formulas of calculation of efforts in elements of the working equipment are resulted. For the second variant, it is suggested to use a plate-rod model, and recommendations are given for the implementation of the relationships between the boom, the handle and the bucket. The results of stress calculations for the working equipment are presented

    Control of the magnitude and spatial distribution of interference energy flows in near fields of systems of identical radiators

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    The problem of active control for both the magnitude and spatial distribution of individual components of the interference component of the Poynting vector within the near zone of a system of radiators is studied. The characteristic size of this zone is on the order of the wavelength and is characterized by the presence of evanescent (nonpropagating) fields, which are formed due to the interference interaction of radiators. Using multipole expansions for fields and special summation formulas for such expansions allows one to obtain concise expressions convenient in carrying out numerical calculations. The results of calculations confirm the feasibility of the above-mentioned control in principle in solving problems of medium and object sensing

    The role played by evanescent fields in the process of formation of radiation of combined radiating systems

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    The problem of active controlling of the structure of fields of combined radiating systems within their near zone is studied. The characteristic size of this zone is on the order of the wavelength and is characterized by the presence of evanescent (nonpropagating) fields, which are formed, among other things, due to the interference interaction of radiators of the system. Using multipole expansions for fields and special summation formulas for such expansions allows one to obtain concise expressions convenient in carrying out numerical calculations. The results of calculations confirm that the evanescent fields’ structure plays a significant part in the process of the formation of the radiation field

    Analysis of Influence of Heat Insulation on the Thermal Regime of Storage Tanks with Liquefied Natural Gas

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    Is numerically investigated the process of convective heat transfer in the reservoirs of liquefied natural gas (LNG). The regimes of natural convection in a closed rectangular region with different intensity of heat exchange at the external borders are investigated. Is solved the time-dependent system of energy and Navier-Stokes equations in the dimensionless variables β€œvorticity – the stream function”. Are obtained distributions of the hydrodynamic parameters and temperatures, that characterize basic regularities of the processes. The special features of the formation of circulation flows are isolated and the analysis of the temperature distribution in the solution region is carried out. Is shown the influence of geometric characteristics and intensity of heat exchange on the outer boundaries of reservoir on the temperature field in the LNG storage
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