20 research outputs found
Control of the magnitude and spatial distribution of interference energy flows in near fields of systems of identical radiators
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
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 fieldsβ structure plays a significant part in the process of the formation of the radiation field
Π€ΡΠ°ΠΊΡΠΈΠΎΠ½Π½Π°Ρ Π°Π½ΠΈΠ·ΠΎΡΡΠΎΠΏΠΈΡ Π±Π΅Π»ΠΎΠ³ΠΎ ΠΈ ΡΠ΅ΡΠΎΠ³ΠΎ Π²Π΅ΡΠ΅ΡΡΠ²Π° Π³ΠΎΠ»ΠΎΠ²Π½ΠΎΠ³ΠΎ ΠΌΠΎΠ·Π³Π° Π² ΠΎΡΡΡΠΎΠΌ ΠΏΠ΅ΡΠΈΠΎΠ΄Π΅ ΠΈΡΠ΅ΠΌΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΈΠ½ΡΡΠ»ΡΡΠ° ΠΊΠ°ΠΊ ΠΌΠ°ΡΠΊΠ΅Ρ Π½Π΅Π²ΡΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ, ΠΊΠΎΠ³Π½ΠΈΡΠΈΠ²Π½ΠΎΠ³ΠΎ ΠΈ ΡΡΠ½ΠΊΡΠΈΠΎΠ½Π°Π»ΡΠ½ΠΎΠ³ΠΎ ΡΡΠ°ΡΡΡΠ°
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 βheart-vessels-brainβ 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.Π¦Π΅Π»Ρ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ: ΠΎΡΠ΅Π½ΠΈΡΡ ΡΡΠ°ΠΊΡΠΈΠΎΠ½Π½ΡΡ Π°Π½ΠΈΠ·ΠΎΡΡΠΎΠΏΠΈΡ Π±Π΅Π»ΠΎΠ³ΠΎ ΠΈ ΡΠ΅ΡΠΎΠ³ΠΎ Π²Π΅ΡΠ΅ΡΡΠ²Π° Π³ΠΎΠ»ΠΎΠ²Π½ΠΎΠ³ΠΎ ΠΌΠΎΠ·Π³Π° ΠΈ Π΅Π΅ ΡΠ²ΡΠ·Ρ Ρ ΠΊΠ»ΠΈΠ½ΠΈΠΊΠΎ-ΠΈΠ½ΡΡΡΡΠΌΠ΅Π½ΡΠ°Π»ΡΠ½ΡΠΌΠΈ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊΠ°ΠΌΠΈ Π² ΠΎΡΡΡΠΎΠΌ ΠΏΠ΅ΡΠΈΠΎΠ΄Π΅ ΠΈΡΠ΅ΠΌΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΈΠ½ΡΡΠ»ΡΡΠ°. ΠΠ°ΡΠ΅ΡΠΈΠ°Π» ΠΈ ΠΌΠ΅ΡΠΎΠ΄Ρ. ΠΠ·ΠΌΠ΅ΡΠ΅Π½Ρ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»ΠΈ ΡΡΠ°ΠΊΡΠΈΠΎΠ½Π½ΠΎΠΉ Π°Π½ΠΈΠ·ΠΎΡΡΠΎΠΏΠΈΠΈ 10 Π·ΠΎΠ½ Π±Π΅Π»ΠΎΠ³ΠΎ ΠΈ ΡΠ΅ΡΠΎΠ³ΠΎ Π²Π΅ΡΠ΅ΡΡΠ²Π° Π³ΠΎΠ»ΠΎΠ²Π½ΠΎΠ³ΠΎ ΠΌΠΎΠ·Π³Π° Ρ 30 ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² Π² ΠΎΡΡΡΠΎΠΌ ΠΏΠ΅ΡΠΈΠΎΠ΄Π΅ ΠΈΡΠ΅ΠΌΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΈΠ½ΡΡΠ»ΡΡΠ° ΠΌΠ΅ΡΠΎΠ΄ΠΎΠΌ Π΄ΠΈΡΡΡΠ·ΠΈΠΎΠ½Π½ΠΎ-ΡΠ΅Π½Π·ΠΎΡΠ½ΠΎΠ³ΠΎ ΠΈΠ·ΠΎΠ±ΡΠ°ΠΆΠ΅Π½ΠΈΡ. ΠΡΠ΅Π½Π΅Π½Ρ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»ΠΈ Π½Π΅Π²ΡΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ (NIHSS), ΠΊΠΎΠ³Π½ΠΈΡΠΈΠ²Π½ΠΎΠ³ΠΎ (MMSE), ΡΡΠ½ΠΊΡΠΈΠΎΠ½Π°Π»ΡΠ½ΠΎΠ³ΠΎ ΡΡΠ°ΡΡΡΠΎΠ² (ΠΈΠ½Π΄Π΅ΠΊΡ ΠΌΠΎΠ±ΠΈΠ»ΡΠ½ΠΎΡΡΠΈ Π ΠΈΠ²Π΅ΡΠΌΠΈΠ΄ ΠΈ ΠΌΠΎΠ΄ΠΈΡΠΈΡΠΈΡΠΎΠ²Π°Π½Π½Π°Ρ ΡΠΊΠ°Π»Π° Π Π΅Π½ΠΊΠΈΠ½Π°), Π° ΡΠ°ΠΊΠΆΠ΅ Π»Π°Π±ΠΎΡΠ°ΡΠΎΡΠ½ΠΎ-ΠΈΠ½ΡΡΡΡΠΌΠ΅Π½ΡΠ°Π»ΡΠ½ΡΠ΅ Π΄Π°Π½Π½ΡΠ΅. Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ. ΠΡΠΎΠ°Π½Π°Π»ΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Ρ ΡΠ°Π·Π»ΠΈΡΠΈΡ ΡΡΠ°ΠΊΡΠΈΠΎΠ½Π½ΠΎΠΉ Π°Π½ΠΈΠ·ΠΎΡΡΠΎΠΏΠΈΠΈ Π½Π° ΡΡΠΎΡΠΎΠ½Π΅ ΠΎΡΠ°Π³Π° ΠΏΠΎΡΠ°ΠΆΠ΅Π½ΠΈΡ ΠΈ ΡΠΈΠΌΠΌΠ΅ΡΡΠΈΡΠ½ΡΡ
ΡΡΠ°ΡΡΠΊΠ°Ρ
Π³ΠΎΠ»ΠΎΠ²Π½ΠΎΠ³ΠΎ ΠΌΠΎΠ·Π³Π°. ΠΡΡΠ²Π»Π΅Π½ΠΎ ΡΠ½ΠΈΠΆΠ΅Π½ΠΈΠ΅ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»Ρ Π² Π·ΠΎΠ½Π΅ Π·Π°Π΄Π½Π΅ΠΉ Π½ΠΎΠΆΠΊΠΈ Π²Π½ΡΡΡΠ΅Π½Π½Π΅ΠΉ ΠΊΠ°ΠΏΡΡΠ»Ρ Π½Π° ΡΡΠΎΡΠΎΠ½Π΅ ΠΎΡΠ°Π³Π° ΠΏΠΎ ΡΡΠ°Π²Π½Π΅Π½ΠΈΡ Ρ ΡΠΈΠΌΠΌΠ΅ΡΡΠΈΡΠ½ΡΠΌΠΈ Π·ΠΎΠ½Π°ΠΌΠΈ ΠΈΠ½ΡΠ°ΠΊΡΠ½ΠΎΠ³ΠΎ ΠΏΠΎΠ»ΡΡΠ°ΡΠΈΡ Π²Π½Π΅ Π·Π°Π²ΠΈΡΠΈΠΌΠΎΡΡΠΈ ΠΎΡ ΡΠ°ΡΠΏΠΎΠ»ΠΎΠΆΠ΅Π½ΠΈΡ Π·ΠΎΠ½Ρ ΠΈΠ½ΡΠ°ΡΠΊΡΠ°. ΠΡΠΎΠ΄Π΅ΠΌΠΎΠ½ΡΡΡΠΈΡΠΎΠ²Π°Π½Π° Π²Π·Π°ΠΈΠΌΠΎΡΠ²ΡΠ·Ρ ΠΌΠ΅ΠΆΠ΄Ρ Π·Π½Π°ΡΠ΅Π½ΠΈΡΠΌΠΈ ΡΡΠ°ΠΊΡΠΈΠΎΠ½Π½ΠΎΠΉ Π°Π½ΠΈΠ·ΠΎΡΡΠΎΠΏΠΈΠΈ Π² ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½Π½ΡΡ
Π·ΠΎΠ½Π°Ρ
ΡΠΎ ΡΡΠ΅ΠΏΠ΅Π½ΡΡ Π½Π΅Π²ΡΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ Π΄Π΅ΡΠΈΡΠΈΡΠ° ΠΈ ΠΊΠΎΠ³Π½ΠΈΡΠΈΠ²Π½ΡΠΌ ΡΡΠ°ΡΡΡΠΎΠΌ ΠΏΡΠΈ Π²ΡΠΏΠΈΡΠΊΠ΅, Π° ΡΠ°ΠΊΠΆΠ΅ Π΄Π»ΠΈΡΠ΅Π»ΡΠ½ΠΎΡΡΡΡ Π»Π΅ΡΠ΅Π½ΠΈΡ. ΠΠ°ΠΊΠ»ΡΡΠ΅Π½ΠΈΠ΅. ΠΡΠΎΠ²Π΅Π΄Π΅Π½Π½ΠΎΠ΅ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠ΅ ΠΌΠΎΠΆΠ΅Ρ ΡΠ²ΠΈΠ΄Π΅ΡΠ΅Π»ΡΡΡΠ²ΠΎΠ²Π°ΡΡ ΠΎ ΡΠΎΠΌ, ΡΡΠΎ ΡΠΆΠ΅ Π² ΠΎΡΡΡΠΎΠΌ ΠΏΠ΅ΡΠΈΠΎΠ΄Π΅ ΠΈΡΠ΅ΠΌΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΈΠ½ΡΡΠ»ΡΡΠ° ΠΏΠ°ΡΠ°Π»Π»Π΅Π»ΡΠ½ΠΎ ΠΈΠ½ΠΈΡΠΈΠΈΡΡΡΡΡΡ ΠΏΡΠΎΡΠ΅ΡΡΡ Π½Π΅ΠΉΡΠΎΠ΄Π΅Π³Π΅Π½Π΅ΡΠ°ΡΠΈΠΈ ΠΈ Π½Π΅ΠΉΡΠΎΡΠ΅ΠΏΠ°ΡΠ°ΡΠΈΠΈ, ΠΏΡΠΎΡΠ²Π»ΡΡΡΠΈΠ΅ΡΡ ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ΠΌ ΠΈΠ½ΡΠ΅Π³ΡΠ°Π»ΡΠ½ΠΎΡΡΠΈ Π±Π΅Π»ΠΎΠ³ΠΎ ΠΈ ΡΠ΅ΡΠΎΠ³ΠΎ Π²Π΅ΡΠ΅ΡΡΠ²Π° Π³ΠΎΠ»ΠΎΠ²Π½ΠΎΠ³ΠΎ ΠΌΠΎΠ·Π³Π°. Π ΠΏΠΎΠ΄ΡΠ²Π΅ΡΠΆΠ΄Π΅Π½ΠΈΠ΅ ΠΊΠΎΠ½ΡΠ΅ΠΏΡΠΈΠΈ βΡΠ΅ΡΠ΄ΡΠ΅-ΡΠΎΡΡΠ΄Ρ-ΠΌΠΎΠ·Π³β ΠΏΠΎΠ»ΡΡΠ΅Π½Ρ Π΄Π°Π½Π½ΡΠ΅ ΠΎ Π·Π½Π°ΡΠΈΠΌΠΎΡΡΠΈ ΡΠΎΡΡΠ΄ΠΈΡΡΡΡ
ΡΠ°ΠΊΡΠΎΡΠΎΠ² ΡΠΈΡΠΊΠ°, ΠΎΠ±ΡΡΠ»ΠΎΠ²Π»ΠΈΠ²Π°ΡΡΠΈΡ
Π³ΠΈΠΏΠΎΠΏΠ΅ΡΡΡΠ·ΠΈΡ ΠΈ Π³ΠΈΠΏΠΎΠΊΡΠΈΡ, Π² ΡΠ°Π·Π²ΠΈΡΠΈΠΈ ΠΌΠΈΠΊΡΠΎΡΡΡΡΠΊΡΡΡΠ½ΡΡ
ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΠΉ ΠΈΠ·ΡΡΠ΅Π½Π½ΡΡ
Π·ΠΎΠ½ ΠΌΠΎΠ·Π³Π°. Π ΡΠ΄ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»Π΅ΠΉ ΡΡΠ°ΠΊΡΠΈΠΎΠ½Π½ΠΎΠΉ Π°Π½ΠΈΠ·ΠΎΡΡΠΎΠΏΠΈΠΈ, ΡΠ°ΡΡΠΌΠΎΡΡΠ΅Π½Π½ΡΡ
Π² ΡΠ°Π±ΠΎΡΠ΅, ΠΌΠΎΠ³ΡΡ ΡΠ»ΡΠΆΠΈΡΡ ΠΏΡΠ΅Π΄ΠΈΠΊΡΠΎΡΠ°ΠΌΠΈ Π½Π΅Π²ΡΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΈ ΡΡΠ½ΠΊΡΠΈΠΎΠ½Π°Π»ΡΠ½ΠΎΠ³ΠΎ ΠΈΡΡ
ΠΎΠ΄Π° ΠΏΡΠΈ Π²ΡΠΏΠΈΡΠΊΠ΅ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² ΠΈΠ· ΡΡΠ°ΡΠΈΠΎΠ½Π°ΡΠ°
ΠΠΌΠΈΠ»ΠΎΠΈΠ΄-Π±Π΅ΡΠ° 40 ΠΊΠ°ΠΊ Π±ΠΈΠΎΠΌΠ°ΡΠΊΠ΅Ρ ΠΊΠΎΠ³Π½ΠΈΡΠΈΠ²Π½ΡΡ Π½Π°ΡΡΡΠ΅Π½ΠΈΠΉ Π² ΠΎΡΡΡΠΎΠΌ ΠΏΠ΅ΡΠΈΠΎΠ΄Π΅ ΠΈΡΠ΅ΠΌΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΈΠ½ΡΡΠ»ΡΡΠ°
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 33β86 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 (226,0β514,0) 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 24β27 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.Π¦Π΅Π»Ρ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ. ΠΠ·ΡΡΠ΅Π½ΠΈΠ΅ ΡΠΎΠ»ΠΈ Π°ΠΌΠΈΠ»ΠΎΠΈΠ΄Π°-Π±Π΅ΡΠ° 40 (AΞ² 40) Π² ΡΠ°Π·Π²ΠΈΡΠΈΠΈ ΠΊΠΎΠ³Π½ΠΈΡΠΈΠ²Π½ΡΡ
Π½Π°ΡΡΡΠ΅Π½ΠΈΠΉ Π² ΠΎΡΡΡΠΎΠΌ ΠΏΠ΅ΡΠΈΠΎΠ΄Π΅ ΠΈΡΠ΅ΠΌΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΈΠ½ΡΡΠ»ΡΡΠ°.ΠΠ°ΡΠ΅ΡΠΈΠ°Π» ΠΈ ΠΌΠ΅ΡΠΎΠ΄Ρ. ΠΠ±ΡΠ»Π΅Π΄ΠΎΠ²Π°Π½Ρ 70 ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² Π² Π²ΠΎΠ·ΡΠ°ΡΡΠ΅ 33β86 Π»Π΅Ρ, ΠΈΠ· ΠΊΠΎΡΠΎΡΡΡ
46 ΠΌΡΠΆΡΠΈΠ½ ΠΈ 24 ΠΆΠ΅Π½ΡΠΈΠ½Ρ.Π£ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠΎΠ² Π² ΠΎΡΡΡΠΎΠΌ ΠΏΠ΅ΡΠΈΠΎΠ΄Π΅ ΠΈΡΠ΅ΠΌΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΈΠ½ΡΡΠ»ΡΡΠ° ΠΏΡΠΎΠ²ΠΎΠ΄ΠΈΠ»Π°ΡΡ ΠΎΡΠ΅Π½ΠΊΠ° ΠΊΠΎΠ³Π½ΠΈΡΠΈΠ²Π½ΠΎΠ³ΠΎ ΡΡΠ°ΡΡΡΠ° (ΠΊΡΠ°ΡΠΊΠ°Ρ ΡΠΊΠ°Π»Π° ΠΎΡΠ΅Π½ΠΊΠΈ ΠΏΡΠΈΡ
ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΡΡΠ°ΡΡΡΠ° (MMSE), ΠΠΎΠ½ΡΠ΅Π°Π»ΡΡΠΊΠ°Ρ ΡΠΊΠ°Π»Π° ΠΎΡΠ΅Π½ΠΊΠΈ ΠΊΠΎΠ³Π½ΠΈΡΠΈΠ²Π½ΡΡ
ΡΡΠ½ΠΊΡΠΈΠΉ (MoCA), Π±Π°ΡΠ°ΡΠ΅Ρ Π»ΠΎΠ±Π½ΡΡ
ΡΠ΅ΡΡΠΎΠ² (FAB), ΡΠ°Π±Π»ΠΈΡΡ Π¨ΡΠ»ΡΡΠ΅, ΡΠ΅ΡΡ ΡΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΡΠ°ΡΠΎΠ², ΡΠ΅ΡΡ Π½Π° ΡΠ΅ΠΌΠ°Π½ΡΠΈΡΠ΅ΡΠΊΡΡ Π²Π΅ΡΠ±Π°Π»ΡΠ½ΡΡ Π±Π΅Π³Π»ΠΎΡΡΡ ΠΈ ΡΠ΅ΡΡ ΠΏΡΡΠΈ ΡΠ»ΠΎΠ²). Π’Π°ΠΊΠΆΠ΅ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π»Π°ΡΡ ΠΊΠΎΠ½ΡΠ΅Π½ΡΡΠ°ΡΠΈΠΈ ΠΞ² 40 Π² Π»ΠΈΠΊΠ²ΠΎΡΠ΅, ΠΈΠ·ΡΡΠ°Π»ΠΈΡΡ ΠΌΠΎΡΡΠΎΠΌΠ΅ΡΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ (ΡΠ°Π·ΠΌΠ΅Ρ ΠΎΡΠ°Π³Π° ΠΈΠ½ΡΠ°ΡΠΊΡΠ° ΠΈ ΠΏΠ»ΠΎΡΠ°Π΄Ρ Π»Π΅ΠΉΠΊΠΎΠ°ΡΠ΅ΠΎΠ·Π°, ΠΎΠ±ΡΠ΅ΠΌ ΠΆΠ΅Π»ΡΠ΄ΠΎΡΠΊΠΎΠ² ΠΌΠΎΠ·Π³Π° ΠΈ Π³ΠΈΠΏΠΏΠΎΠΊΠ°ΠΌΠΏΠΎΠ²) ΠΈ Π΄ΠΈΡΡΡΠ·ΠΈΠΎΠ½Π½ΠΎ-ΡΠ΅Π½Π·ΠΎΡΠ½ΡΠ΅ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»ΠΈ (ΡΡΠ°ΠΊΡΠΈΠΎΠ½Π½Π°Ρ Π°Π½ΠΈΠ·ΠΎΡΡΠΎΠΏΠΈΡ ΡΠΊΠΎΡΠ»ΡΠΏΡ, ΡΠ°Π»Π°ΠΌΡΡΠ°, Π³ΠΈΠΏΠΏΠΎΠΊΠ°ΠΌΠΏΠ°, ΠΌΠΎΠ·ΠΎΠ»ΠΈΡΡΠΎΠ³ΠΎ ΡΠ΅Π»Π°, Π½ΠΎΠΆΠ΅ΠΊ Π²Π½ΡΡΡΠ΅Π½Π½Π΅ΠΉ ΠΊΠ°ΠΏΡΡΠ»Ρ, ΡΠΈΠ½Π³ΡΠ»ΡΡΠ½ΠΎΠ³ΠΎ, Π²Π΅ΡΡ
Π½Π΅Π³ΠΎ ΠΏΡΠΎΠ΄ΠΎΠ»ΡΠ½ΠΎΠ³ΠΎ ΠΈ Π½ΠΈΠΆΠ½Π΅Π³ΠΎ ΡΡΠΎΠ½ΡΠΎ-ΠΎΠΊΡΠΈΠΏΠΈΡΠ°Π»ΡΠ½ΠΎΠ³ΠΎ ΠΏΡΡΠΊΠΎΠ²) ΠΌΠ°Π³Π½ΠΈΡΠ½ΠΎ-ΡΠ΅Π·ΠΎΠ½Π°Π½ΡΠ½ΠΎΠΉ ΡΠΎΠΌΠΎΠ³ΡΠ°ΡΠΈΠΈ.Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ. ΠΠΎΠ½ΡΠ΅Π½ΡΡΠ°ΡΠΈΡ ΠΞ² 40 Π² Π»ΠΈΠΊΠ²ΠΎΡΠ΅ ΡΠΎΡΡΠ°Π²ΠΈΠ»Π° 436,4 (226,0β514,0) ΠΏΠ³/ΠΌΠ» ΠΈ Π±ΡΠ»Π° Π°ΡΡΠΎΡΠΈΠΈΡΠΎΠ²Π°Π½Π° Ρ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠΎΠΌ ΡΡΠ±ΡΠ΅ΡΡΠΎΠ² Β«ΠΎΡΠΈΠ΅Π½ΡΠ°ΡΠΈΡΒ» (MMSE) ΠΈ Β«Π²Π½ΠΈΠΌΠ°Π½ΠΈΠ΅Β» (MoCA), Π° ΡΠ°ΠΊΠΆΠ΅ ΠΎΠΏΠΎΡΡΠ΅Π΄ΠΎΠ²Π°Π½Π½ΡΠΌ Π²ΠΎΡΠΏΡΠΎΠΈΠ·Π²Π΅Π΄Π΅Π½ΠΈΠ΅ΠΌ Π² MoCA. ΠΠ°ΡΠΈΠ΅Π½ΡΡ Ρ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠΎΠΌ MMSE 24β27 Π±Π°Π»Π»ΠΎΠ² Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΠ·ΠΎΠ²Π°Π»ΠΈΡΡ Π±ΠΎΠ»Π΅Π΅ Π½ΠΈΠ·ΠΊΠΎΠΉ ΠΊΠΎΠ½ΡΠ΅Π½ΡΡΠ°ΡΠΈΠ΅ΠΉ ΠΞ² 40 ΠΏΠΎ ΡΡΠ°Π²Π½Π΅Π½ΠΈΡ Ρ ΠΏΠ°ΡΠΈΠ΅Π½ΡΠ°ΠΌΠΈ Ρ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠΎΠΌ ΡΠΊΠ°Π»Ρ ΠΌΠ΅Π½Π΅Π΅ 24 Π±Π°Π»Π»ΠΎΠ². ΠΠΎΠ½ΡΠ΅Π½ΡΡΠ°ΡΠΈΡ ΠΞ² 40 Π±ΠΎΠ»Π΅Π΅ 436,4 ΠΏΠ³/ΠΌΠ» Π±ΡΠ»Π° ΡΠ²ΡΠ·Π°Π½Π° Ρ Π±ΠΎΠ»Π΅Π΅ Π²ΡΡΠ°ΠΆΠ΅Π½Π½ΠΎΠΉ ΡΠΎΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΊΠΎΠΌΠΎΡΠ±ΠΈΠ΄Π½ΠΎΡΡΡΡ ΠΈΠ½ΡΡΠ»ΡΡΠ° (Π°ΡΡΠ΅ΡΠΈΠ°Π»ΡΠ½Π°Ρ Π³ΠΈΠΏΠ΅ΡΡΠ΅Π½Π·ΠΈΡ, Π±ΠΎΠ»Π΅Π΅ Π½ΠΈΠ·ΠΊΠΎΠ΅ ΡΠΎΠ΄Π΅ΡΠΆΠ°Π½ΠΈΠ΅ Π³Π΅ΠΌΠΎΠ³Π»ΠΎΠ±ΠΈΠ½Π° ΠΈ Π°Π»ΡΠ±ΡΠΌΠΈΠ½Π° ΠΊΡΠΎΠ²ΠΈ, Π±ΠΎΠ»Π΅Π΅ Π²ΡΡΠΎΠΊΠ°Ρ ΡΠΊΠΎΡΠΎΡΡΡ ΠΎΡΠ΅Π΄Π°Π½ΠΈΡ ΡΡΠΈΡΠΎΡΠΎΡΠΈΡΠΎΠ²), ΠΌΠ΅Π½ΡΡΠΈΠΌ ΠΎΠ±ΡΠ΅ΠΌΠΎΠΌ ΠΆΠ΅Π»ΡΠ΄ΠΎΡΠΊΠΎΠ² ΠΌΠΎΠ·Π³Π°, Π±ΠΎΠ»Π΅Π΅ Π½ΠΈΠ·ΠΊΠΎΠΉ ΡΡΠ°ΠΊΡΠΈΠΎΠ½Π½ΠΎΠΉ Π°Π½ΠΈΠ·ΠΎΡΡΠΎΠΏΠΈΠ΅ΠΉ ΡΠ°Π»Π°ΠΌΡΡΠΎΠ², ΡΠΈΠ½Π³ΡΠ»ΡΡΠ½ΡΡ
ΠΏΡΡΠΊΠΎΠ² ΠΈ ΠΊΠΎΠ½ΡΡΠ°Π»Π°ΡΠ΅ΡΠ°Π»ΡΠ½ΠΎΠ³ΠΎ Π³ΠΈΠΏΠΏΠΎΠΊΠ°ΠΏΠΌΠ° ΠΈ Π°ΡΡΠΎΡΠΈΠΈΡΠΎΠ²Π°Π½Π° Ρ Π±ΠΎΠ»Π΅Π΅ Π½ΠΈΠ·ΠΊΠΈΠΌ Π³Π»ΠΎΠ±Π°Π»ΡΠ½ΡΠΌ ΠΊΠΎΠ³Π½ΠΈΡΠΈΠ²Π½ΡΠΌ ΡΡΠ°ΡΡΡΠΎΠΌ (ΠΏΠΎ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠ°ΠΌ MMSE ΠΈ MoCA), Π° ΡΠ°ΠΊΠΆΠ΅ ΡΠ½ΠΈΠΆΠ΅Π½ΠΈΠ΅ΠΌ ΠΎΡΠ΄Π΅Π»ΡΠ½ΡΡ
ΠΊΠΎΠ³Π½ΠΈΡΠΈΠ²Π½ΡΡ
ΡΡΠ½ΠΊΡΠΈΠΉ, Π° ΠΈΠΌΠ΅Π½Π½ΠΎ Π²Π½ΠΈΠΌΠ°Π½ΠΈΡ, Π·ΡΠΈΡΠ΅Π»ΡΠ½ΠΎ-ΠΏΡΠΎΡΡΡΠ°Π½ΡΡΠ²Π΅Π½Π½ΠΎΠ³ΠΎ Π³Π½ΠΎΠ·ΠΈΡΠ° ΠΈ ΠΏΠ°ΠΌΡΡΠΈ.ΠΡΠ²ΠΎΠ΄Ρ. ΠΠΎΠ½ΡΠ΅Π½ΡΡΠ°ΡΠΈΡ ΠΞ² 40 Π² ΡΠΏΠΈΠ½Π½ΠΎΠΌΠΎΠ·Π³ΠΎΠ²ΠΎΠΉ ΠΆΠΈΠ΄ΠΊΠΎΡΡΠΈ ΡΠ²Π»ΡΠ΅ΡΡΡ Π±ΠΈΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΠΌ ΠΌΠ°ΡΠΊΠ΅ΡΠΎΠΌ ΠΊΠ°ΠΊ Π²ΡΡΠ°ΠΆΠ΅Π½Π½ΠΎΡΡΠΈ, ΡΠ°ΠΊ ΠΈ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠ° ΠΏΠΎΡΡΠΈΠ½ΡΡΠ»ΡΡΠ½ΡΡ
ΠΊΠΎΠ³Π½ΠΈΡΠΈΠ²Π½ΡΡ
Π½Π°ΡΡΡΠ΅Π½ΠΈΠΉ, ΡΡΠΎ, Π²Π΅ΡΠΎΡΡΠ½ΠΎ, ΠΎΠΏΠΎΡΡΠ΅Π΄ΠΎΠ²Π°Π½ΠΎ ΠΏΠΎΠ²ΡΠ΅ΠΆΠ΄Π΅Π½ΠΈΠ΅ΠΌ Π³ΠΈΠΏΠΏΠΎΠΊΠ°ΠΌΠΏΠΎΠ², ΡΠ°Π»Π°ΠΌΡΡΠ° ΠΈ ΡΠΈΠ½Π³ΡΠ»ΡΡΠ½ΡΡ
ΡΡΠ°ΠΊΡΠΎΠ². ΠΡΠΈ ΡΡΠΎΠΌ, Π½Π° Π½Π°Ρ Π²Π·Π³Π»ΡΠ΄, Π±ΠΈΠΎΠΌΠ°ΡΠΊΠ΅Ρ ΠΎΡΡΠ°ΠΆΠ°Π΅Ρ ΠΊΠ°ΠΊ ΡΠΎΡΡΠ΄ΠΈΡΡΡΠΉ, ΠΈΠ»ΠΈ ΠΈΡΠ΅ΠΌΠΈΡΠ΅ΡΠΊΠΈΠΉ, ΠΊΠΎΠΌΠΏΠΎΠ½Π΅Π½Ρ ΠΏΠ°ΡΠΎΠ³Π΅Π½Π΅Π·Π° ΠΊΠΎΠ³Π½ΠΈΡΠΈΠ²Π½ΡΡ
Π½Π°ΡΡΡΠ΅Π½ΠΈΠΉ Π² ΠΎΡΡΡΠΎΠΌ ΠΏΠ΅ΡΠΈΠΎΠ΄Π΅ ΠΈΡΠ΅ΠΌΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΈΠ½ΡΡΠ»ΡΡΠ°, ΡΠ°ΠΊ ΠΈ Π²Π»ΠΈΡΠ½ΠΈΠ΅ Π°ΠΌΠΈΠ»ΠΎΠΈΠ΄-ΠΎΠΏΠΎΡΡΠ΅Π΄ΠΎΠ²Π°Π½Π½ΠΎΠΉ Π½Π΅ΠΉΡΠΎΠ΄Π΅Π³Π΅Π½Π΅ΡΠ°ΡΠΈΠΈ
Development of a digital model of the working process of a hydraulic excavator
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
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 βdirectβ 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
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
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 fieldsβ 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
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 βvorticity β the stream functionβ. 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