34 research outputs found
ΠΠΎΡΠΏΡΠΈΡΡΠΈΠ΅ ΡΠΌΠΎΡΠΈΠΎΠ½Π°Π»ΡΠ½ΡΡ ΡΠΊΡΠΏΡΠ΅ΡΡΠΈΠΉ ΡΠ°Π·Π»ΠΈΡΠ½ΠΎΠΉ ΡΡΠ΅ΠΏΠ΅Π½ΠΈ ΡΠ΅ΡΠΊΠΎΡΡΠΈ ΠΏΡΠΈ ΡΡΡΠΎΠ±ΠΎΡΠΊΠΎΠΏΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΠΊΡΠΏΠΎΠ·ΠΈΡΠΈΠΈ Π»ΠΈΡΠ° ΠΈ Π΅Π³ΠΎ ΠΌΠ°ΡΠΊΠΈΡΠΎΠ²ΠΊΠ΅
This paper examines the role of facial apparent movements in the assessment of basic emotional expressions in favorable and adverse conditions of perception. A previous study has shown that movement could not improve the accuracy of the assessment of emotions in the presence of the detailed information about the configuration of the face. The present investigation aimed at searching conditions inwhich dynamics provided better assessment of facial expressions. In the psychophysical experiment the modality of expression (6 basic emotions and neutral face), the context, the time of exposure of the face (50, 100, or 200 ms), and the degree of its defocusing (clear or blurry images) varied. The stimulus situation type determinedthe content of the context: the stroboscopic exposure of expressions against the background of a neutral face or their direct and reverse visual masking by a randomized pattern. The use of a Gaussian filter with pixel values of 20, 40, or 60 provided defocusing. The authors analyzed the data using the method of mixedeffects logistic regression; the frequencies of correct answers in the experimental conditions were compared using linear contrasts. The findings of the study revealed that during stroboscopic exposure the apparent movement ensured the preservation of the accuracy of recognition of basic emotionseven in the least favorable conditions of perception (at minimum exposure time and maximum image defocusing). For clear or slightly defocused images the accuracy of assessments when masking and the stroboscopic change of the expression coincided.Masking led to a significant reduction in the accuracy of the assessments of emotions when deteriorating the conditions of perception. The impact of masking was higher when assessing low-attractive emotions (disgust, fear, sadness, and anger); highattractiveemotions (joy, surprise, and calm state) were assessed most adequatelyin all stimulus situations. The obtained effect of stroboscopic sensitization indicated the similarity of the impact of a real and apparent movement on the assessment of emotional states.ΠΠ·ΡΡΠ°Π»Π°ΡΡ ΡΠΎΠ»Ρ ΠΊΠ°ΠΆΡΡΠ΅Π³ΠΎΡΡ Π΄Π²ΠΈΠΆΠ΅Π½ΠΈΡ Π»ΠΈΡΠ° Π² ΠΎΡΠ΅Π½ΠΊΠ΅ Π±Π°Π·ΠΎΠ²ΡΡ
ΡΠΌΠΎΡΠΈΠΎΠ½Π°Π»ΡΠ½ΡΡ
ΡΠΊΡΠΏΡΠ΅ΡΡΠΈΠΉ Π² Π±Π»Π°Π³ΠΎΠΏΡΠΈΡΡΠ½ΡΡ
ΠΈ Π·Π°ΡΡΡΠ΄Π½Π΅Π½Π½ΡΡ
ΡΡΠ»ΠΎΠ²ΠΈΡΡ
Π²ΠΎΡΠΏΡΠΈΡΡΠΈΡ. Π Π°Π½Π΅Π΅ Π±ΡΠ»ΠΎ ΠΏΠΎΠΊΠ°Π·Π°Π½ΠΎ, ΡΡΠΎ ΠΏΡΠΈ Π½Π°Π»ΠΈΡΠΈΠΈ Π΄Π΅ΡΠ°Π»ΡΠ½ΠΎΠΉ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΈ ΠΎ ΠΊΠΎΠ½ΡΠΈΠ³ΡΡΠ°ΡΠΈΠΈ Π»ΠΈΡΠ° Π΄Π²ΠΈΠΆΠ΅Π½ΠΈΠ΅ Π½Π΅ ΠΏΡΠΈΠ²ΠΎΠ΄ΠΈΡ ΠΊ ΠΏΠΎΠ²ΡΡΠ΅Π½ΠΈΡ ΡΠΎΡΠ½ΠΎΡΡΠΈ ΠΎΡΠ΅Π½ΠΎΠΊ ΡΠΌΠΎΡΠΈΠΉ. Π¦Π΅Π»ΡΡ Π½Π°ΡΡΠΎΡΡΠ΅Π³ΠΎ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΡΡΠ°Π» ΠΏΠΎΠΈΡΠΊ ΡΡΠ»ΠΎΠ²ΠΈΠΉ, Π² ΠΊΠΎΡΠΎΡΡΡ
Π΄ΠΈΠ½Π°ΠΌΠΈΠΊΠ° ΠΎΠ±Π΅ΡΠΏΠ΅ΡΠΈΠ²Π°Π΅Ρ Π±ΠΎΠ»Π΅Π΅ ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎΠ΅ ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΠ΅ Π²ΡΡΠ°ΠΆΠ΅Π½ΠΈΡ Π»ΠΈΡΠ°. Π ΠΏΡΠΈΡ
ΠΎΡΠΈΠ·ΠΈΡΠ΅ΡΠΊΠΎΠΌ ΡΠΊΡΠΏΠ΅ΡΠΈΠΌΠ΅Π½ΡΠ΅ Π²Π°ΡΡΠΈΡΠΎΠ²Π°Π»ΠΈΡΡ ΠΌΠΎΠ΄Π°Π»ΡΠ½ΠΎΡΡΡ ΡΠΊΡΠΏΡΠ΅ΡΡΠΈΠΈ (6 Π±Π°Π·ΠΎΠ²ΡΡ
ΡΠΌΠΎΡΠΈΠΉ ΠΈ Π½Π΅ΠΉΡΡΠ°Π»ΡΠ½ΠΎΠ΅ Π»ΠΈΡΠΎ), ΠΊΠΎΠ½ΡΠ΅ΠΊΡΡ, Π²ΡΠ΅ΠΌΡ ΡΠΊΡΠΏΠΎΠ·ΠΈΡΠΈΠΈ Π»ΠΈΡΠ° (50, 100 Π»ΠΈΠ±ΠΎ 200 ΠΌΡ) ΠΈ ΡΡΠ΅ΠΏΠ΅Π½Ρ Π΅Π³ΠΎ ΡΠ°ΡΡΠΎΠΊΡΡΠΈΡΠΎΠ²Π°Π½Π½ΠΎΡΡΠΈ (ΡΠ΅ΡΠΊΠΈΠ΅ Π»ΠΈΠ±ΠΎ ΡΠ°Π·ΠΌΡΡΡΠ΅ ΠΈΠ·ΠΎΠ±ΡΠ°ΠΆΠ΅Π½ΠΈΡ). Π‘ΠΎΠ΄Π΅ΡΠΆΠ°Π½ΠΈΠ΅ ΠΊΠΎΠ½ΡΠ΅ΠΊΡΡΠ° ΠΎΠΏΡΠ΅Π΄Π΅Π»ΡΠ»ΠΎΡΡ ΡΠΈΠΏΠΎΠΌ ΡΡΠΈΠΌΡΠ»ΡΠ½ΠΎΠΉ ΡΠΈΡΡΠ°ΡΠΈΠΈ: ΡΡΡΠΎΠ±ΠΎΡΠΊΠΎΠΏΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΠΊΡΠΏΠΎΠ·ΠΈΡΠΈΠ΅ΠΉ ΡΠΊΡΠΏΡΠ΅ΡΡΠΈΠΉ Π½Π° ΡΠΎΠ½Π΅ Π½Π΅ΠΉΡΡΠ°Π»ΡΠ½ΠΎΠ³ΠΎ Π»ΠΈΡΠ° Π»ΠΈΠ±ΠΎ ΠΈΡ
ΠΏΡΡΠΌΠΎΠΉ ΠΈ ΠΎΠ±ΡΠ°ΡΠ½ΠΎΠΉ Π·ΡΠΈΡΠ΅Π»ΡΠ½ΠΎΠΉ ΠΌΠ°ΡΠΊΠΈΡΠΎΠ²ΠΊΠΎΠΉ ΡΠ°Π½Π΄ΠΎΠΌΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Π½ΡΠΌ ΠΏΠ°ΡΡΠ΅ΡΠ½ΠΎΠΌ. Π Π°ΡΡΠΎΠΊΡΡΠΈΡΠΎΠ²Π°Π½Π½ΠΎΡΡΡ ΠΎΠ±Π΅ΡΠΏΠ΅ΡΠΈΠ²Π°Π»Π°ΡΡ ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ΠΌ ΡΠΈΠ»ΡΡΡΠ° ΠΠ°ΡΡΡΠ° ΡΠΎ Π·Π½Π°ΡΠ΅Π½ΠΈΡΠΌΠΈ 20, 40 Π»ΠΈΠ±ΠΎ 60 ΠΏΠΈΠΊΡΠ΅Π»Π΅ΠΉ. ΠΠ°Π½Π½ΡΠ΅ Π°Π½Π°Π»ΠΈΠ·ΠΈΡΠΎΠ²Π°Π»ΠΈΡΡ ΠΌΠ΅ΡΠΎΠ΄ΠΎΠΌ Π»ΠΎΠ³ΠΈΡΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΠ΅Π³ΡΠ΅ΡΡΠΈΠΈ ΡΠΎ ΡΠΌΠ΅ΡΠ°Π½Π½ΡΠΌΠΈ ΡΡΡΠ΅ΠΊΡΠ°ΠΌΠΈ; ΡΠ°ΡΡΠΎΡΡ Π²Π΅ΡΠ½ΡΡ
ΠΎΡΠ²Π΅ΡΠΎΠ² Π² ΡΠΊΡΠΏΠ΅ΡΠΈΠΌΠ΅Π½ΡΠ°Π»ΡΠ½ΡΡ
ΡΡΠ»ΠΎΠ²ΠΈΡΡ
ΡΠΎΠΏΠΎΡΡΠ°Π²Π»ΡΠ»ΠΈΡΡ Ρ ΠΏΠΎΠΌΠΎΡΡΡ Π»ΠΈΠ½Π΅ΠΉΠ½ΡΡ
ΠΊΠΎΠ½ΡΡΠ°ΡΡΠΎΠ².
ΠΠ±Π½Π°ΡΡΠΆΠ΅Π½ΠΎ, ΡΡΠΎ Π² ΡΡΠ»ΠΎΠ²ΠΈΡΡ
ΡΡΡΠΎΠ±ΠΎΡΠΊΠΎΠΏΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΠΊΡΠΏΠΎΠ·ΠΈΡΠΈΠΈ Π²ΠΎΠ·Π½ΠΈΠΊΠ½ΠΎΠ²Π΅Π½ΠΈΠ΅ ΠΊΠ°ΠΆΡΡΠ΅Π³ΠΎΡΡ Π΄Π²ΠΈΠΆΠ΅Π½ΠΈΡ ΠΎΠ±Π΅ΡΠΏΠ΅ΡΠΈΠ²Π°Π΅Ρ ΡΠΎΡ
ΡΠ°Π½Π΅Π½ΠΈΠ΅ ΡΠΎΡΠ½ΠΎΡΡΠΈ ΡΠ°ΡΠΏΠΎΠ·Π½Π°Π²Π°Π½ΠΈΡ Π±Π°Π·ΠΎΠ²ΡΡ
ΡΠΌΠΎΡΠΈΠΉ Π΄Π°ΠΆΠ΅ Π² Π½Π°ΠΈΠΌΠ΅Π½Π΅Π΅ Π±Π»Π°Π³ΠΎΠΏΡΠΈΡΡΠ½ΡΡ
ΡΡΠ»ΠΎΠ²ΠΈΡΡ
Π²ΠΎΡΠΏΡΠΈΡΡΠΈΡ (ΠΏΡΠΈ ΠΌΠΈΠ½ΠΈΠΌΠ°Π»ΡΠ½ΠΎΠΌ Π²ΡΠ΅ΠΌΠ΅Π½ΠΈ ΡΠΊΡΠΏΠΎΠ·ΠΈΡΠΈΠΈ ΠΈ ΠΌΠ°ΠΊΡΠΈΠΌΠ°Π»ΡΠ½ΠΎΠΉ ΡΠ°ΡΡΠΎΠΊΡΡΠΈΡΠΎΠ²Π°Π½Π½ΠΎΡΡΠΈ ΠΈΠ·ΠΎΠ±ΡΠ°ΠΆΠ΅Π½ΠΈΡ). ΠΠ»Ρ ΡΠ΅ΡΠΊΠΈΡ
Π»ΠΈΠ±ΠΎ ΡΠ»Π°Π±ΠΎ ΡΠ°ΡΡΠΎΠΊΡΡΠΈΡΠΎΠ²Π°Π½Π½ΡΡ
ΠΈΠ·ΠΎΠ±ΡΠ°ΠΆΠ΅Π½ΠΈΠΉ ΡΠΎΡΠ½ΠΎΡΡΡ ΠΎΡΠ΅Π½ΠΎΠΊ ΠΏΡΠΈ ΠΌΠ°ΡΠΊΠΈΡΠΎΠ²ΠΊΠ΅ ΠΈ ΡΡΡΠΎΠ±ΠΎΡΠΊΠΎΠΏΠΈΡΠ΅ΡΠΊΠΎΠΌ ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΠΈ ΡΠΊΡΠΏΡΠ΅ΡΡΠΈΠΈ ΡΠΎΠ²ΠΏΠ°Π΄Π°Π΅Ρ. ΠΡΠΈ ΡΡ
ΡΠ΄ΡΠ΅Π½ΠΈΠΈ ΡΡΠ»ΠΎΠ²ΠΈΠΉ Π²ΠΎΡΠΏΡΠΈΡΡΠΈΡ ΠΌΠ°ΡΠΊΠΈΡΠΎΠ²ΠΊΠ° ΠΏΡΠΈΠ²ΠΎΠ΄ΠΈΡ ΠΊ ΡΡΡΠ΅ΡΡΠ²Π΅Π½Π½ΠΎΠΌΡ ΡΠ½ΠΈΠΆΠ΅Π½ΠΈΡ ΡΠΎΡΠ½ΠΎΡΡΠΈ ΠΎΡΠ΅Π½ΠΎΠΊ ΡΠΌΠΎΡΠΈΠΉ. ΠΠΎΠ·Π΄Π΅ΠΉΡΡΠ²ΠΈΠ΅ ΠΌΠ°ΡΠΊΠΈΡΠΎΠ²ΠΊΠΈ ΡΠΈΠ»ΡΠ½Π΅Π΅ ΠΏΡΠΎΡΠ²Π»ΡΠ΅ΡΡΡ ΠΏΡΠΈ ΠΎΡΠ΅Π½ΠΊΠ΅ Π½ΠΈΠ·ΠΊΠΎΠ°ΡΡΡΠ°ΠΊΡΠΈΠ²Π½ΡΡ
ΡΠΌΠΎΡΠΈΠΉ (ΠΎΡΠ²ΡΠ°ΡΠ΅Π½ΠΈΡ, ΡΡΡΠ°Ρ
Π°, ΠΏΠ΅ΡΠ°Π»ΠΈ ΠΈ Π³Π½Π΅Π²Π°), ΡΠΎΠ³Π΄Π° ΠΊΠ°ΠΊ Π²ΡΡΠΎΠΊΠΎΠ°ΡΡΡΠ°ΠΊΡΠΈΠ²Π½ΡΠ΅ ΡΠΌΠΎΡΠΈΠΈ (ΡΠ°Π΄ΠΎΡΡΡ, ΡΠ΄ΠΈΠ²Π»Π΅Π½ΠΈΠ΅, ΡΠΏΠΎΠΊΠΎΠΉΠ½ΠΎΠ΅ ΡΠΎΡΡΠΎΡΠ½ΠΈΠ΅) Π²ΠΎ Π²ΡΠ΅Ρ
ΡΡΠΈΠΌΡΠ»ΡΠ½ΡΡ
ΡΠΈΡΡΠ°ΡΠΈΡΡ
ΠΎΡΠ΅Π½ΠΈΠ²Π°ΡΡΡΡ Π½Π°ΠΈΠ±ΠΎΠ»Π΅Π΅ Π°Π΄Π΅ΠΊΠ²Π°ΡΠ½ΠΎ. ΠΠΎΠ»ΡΡΠ΅Π½Π½ΡΠΉ ΡΡΡΠ΅ΠΊΡ ΡΡΡΠΎΠ±ΠΎΡΠΊΠΎΠΏΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΠ΅Π½ΡΠΈΠ±ΠΈΠ»ΠΈΠ·Π°ΡΠΈΠΈ ΡΠΊΠ°Π·ΡΠ²Π°Π΅Ρ Π½Π° ΡΡ
ΠΎΠ΄ΡΡΠ²ΠΎ Π²Π»ΠΈΡΠ½ΠΈΠΉ ΡΠ΅Π°Π»ΡΠ½ΠΎΠ³ΠΎ ΠΈ ΠΊΠ°ΠΆΡΡΠ΅Π³ΠΎΡΡ Π΄Π²ΠΈΠΆΠ΅Π½ΠΈΡ Π½Π° ΠΎΡΠ΅Π½ΠΊΡ ΡΠΌΠΎΡΠΈΠΎΠ½Π°Π»ΡΠ½ΡΡ
ΡΠΎΡΡΠΎΡΠ½ΠΈΠΉ
Computer Algebra in JULIA
Recently, the place of the main programming language for scientific and engineering computations has been little by little taken by Julia. Some users want to work completely within the Julia ecosystem like they work within the Python ecosystem. There are libraries for Julia that cover the majority of scientific and engineering computations demands. The aim of this paper is to combine the usage of Julia framework for numerical computations and for symbolic computations in mathematical modeling problems. The main functional domains determining various variants of the application of computer algebra systems are described. In each of these domains, generic representatives of computer algebra systems in Julia are distinguished. The conclusion is that it is possible (and even convenient) to use computer algebra systems within the Julia ecosystem
The Problems of Studying Fantasy in Russia
The article considers the history of research on fantasy in Russia. It offers views on the time of its initiation; describes generic characteristics advanced by critics and scholars, and attempts at systematization based on divergent criteria; and points out the traditions of fairy-tale and carnival culture
Tensor computations in computer algebra systems
This paper considers three types of tensor computations. On their basis, we attempt to formulate criteria that must be satisfied by a computer algebra system dealing with tensors. We briefly overview the current state of tensor computations in different computer algebra systems. The tensor computations are illustrated with appropriate examples implemented in specific systems: Cadabra and Maxima. Β© 2013 Pleiades Publishing, Ltd
ΠΠΎΡΠΏΡΠΈΡΡΠΈΠ΅ ΡΠΌΠΎΡΠΈΠΎΠ½Π°Π»ΡΠ½ΡΡ ΡΠΊΡΠΏΡΠ΅ΡΡΠΈΠΉ ΡΠ°Π·Π»ΠΈΡΠ½ΠΎΠΉ ΡΡΠ΅ΠΏΠ΅Π½ΠΈ ΡΠ΅ΡΠΊΠΎΡΡΠΈ ΠΏΡΠΈ ΡΡΡΠΎΠ±ΠΎΡΠΊΠΎΠΏΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΠΊΡΠΏΠΎΠ·ΠΈΡΠΈΠΈ Π»ΠΈΡΠ° ΠΈ Π΅Π³ΠΎ ΠΌΠ°ΡΠΊΠΈΡΠΎΠ²ΠΊΠ΅
This paper examines the role of facial apparent movements in the assessment of basic emotional expressions in favorable and adverse conditions of perception. A previous study has shown that movement could not improve the accuracy of the assessment of emotions in the presence of the detailed information about the configuration of the face. The present investigation aimed at searching conditions inwhich dynamics provided better assessment of facial expressions. In the psychophysical experiment the modality of expression (6 basic emotions and neutral face), the context, the time of exposure of the face (50, 100, or 200 ms), and the degree of its defocusing (clear or blurry images) varied. The stimulus situation type determinedthe content of the context: the stroboscopic exposure of expressions against the background of a neutral face or their direct and reverse visual masking by a randomized pattern. The use of a Gaussian filter with pixel values of 20, 40, or 60 provided defocusing. The authors analyzed the data using the method of mixedeffects logistic regression; the frequencies of correct answers in the experimental conditions were compared using linear contrasts. The findings of the study revealed that during stroboscopic exposure the apparent movement ensured the preservation of the accuracy of recognition of basic emotionseven in the least favorable conditions of perception (at minimum exposure time and maximum image defocusing). For clear or slightly defocused images the accuracy of assessments when masking and the stroboscopic change of the expression coincided.Masking led to a significant reduction in the accuracy of the assessments of emotions when deteriorating the conditions of perception. The impact of masking was higher when assessing low-attractive emotions (disgust, fear, sadness, and anger); highattractiveemotions (joy, surprise, and calm state) were assessed most adequatelyin all stimulus situations. The obtained effect of stroboscopic sensitization indicated the similarity of the impact of a real and apparent movement on the assessment of emotional states.ΠΠ·ΡΡΠ°Π»Π°ΡΡ ΡΠΎΠ»Ρ ΠΊΠ°ΠΆΡΡΠ΅Π³ΠΎΡΡ Π΄Π²ΠΈΠΆΠ΅Π½ΠΈΡ Π»ΠΈΡΠ° Π² ΠΎΡΠ΅Π½ΠΊΠ΅ Π±Π°Π·ΠΎΠ²ΡΡ
ΡΠΌΠΎΡΠΈΠΎΠ½Π°Π»ΡΠ½ΡΡ
ΡΠΊΡΠΏΡΠ΅ΡΡΠΈΠΉ Π² Π±Π»Π°Π³ΠΎΠΏΡΠΈΡΡΠ½ΡΡ
ΠΈ Π·Π°ΡΡΡΠ΄Π½Π΅Π½Π½ΡΡ
ΡΡΠ»ΠΎΠ²ΠΈΡΡ
Π²ΠΎΡΠΏΡΠΈΡΡΠΈΡ. Π Π°Π½Π΅Π΅ Π±ΡΠ»ΠΎ ΠΏΠΎΠΊΠ°Π·Π°Π½ΠΎ, ΡΡΠΎ ΠΏΡΠΈ Π½Π°Π»ΠΈΡΠΈΠΈ Π΄Π΅ΡΠ°Π»ΡΠ½ΠΎΠΉ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΈ ΠΎ ΠΊΠΎΠ½ΡΠΈΠ³ΡΡΠ°ΡΠΈΠΈ Π»ΠΈΡΠ° Π΄Π²ΠΈΠΆΠ΅Π½ΠΈΠ΅ Π½Π΅ ΠΏΡΠΈΠ²ΠΎΠ΄ΠΈΡ ΠΊ ΠΏΠΎΠ²ΡΡΠ΅Π½ΠΈΡ ΡΠΎΡΠ½ΠΎΡΡΠΈ ΠΎΡΠ΅Π½ΠΎΠΊ ΡΠΌΠΎΡΠΈΠΉ. Π¦Π΅Π»ΡΡ Π½Π°ΡΡΠΎΡΡΠ΅Π³ΠΎ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΡΡΠ°Π» ΠΏΠΎΠΈΡΠΊ ΡΡΠ»ΠΎΠ²ΠΈΠΉ, Π² ΠΊΠΎΡΠΎΡΡΡ
Π΄ΠΈΠ½Π°ΠΌΠΈΠΊΠ° ΠΎΠ±Π΅ΡΠΏΠ΅ΡΠΈΠ²Π°Π΅Ρ Π±ΠΎΠ»Π΅Π΅ ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΠΎΠ΅ ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΠ΅ Π²ΡΡΠ°ΠΆΠ΅Π½ΠΈΡ Π»ΠΈΡΠ°. Π ΠΏΡΠΈΡ
ΠΎΡΠΈΠ·ΠΈΡΠ΅ΡΠΊΠΎΠΌ ΡΠΊΡΠΏΠ΅ΡΠΈΠΌΠ΅Π½ΡΠ΅ Π²Π°ΡΡΠΈΡΠΎΠ²Π°Π»ΠΈΡΡ ΠΌΠΎΠ΄Π°Π»ΡΠ½ΠΎΡΡΡ ΡΠΊΡΠΏΡΠ΅ΡΡΠΈΠΈ (6 Π±Π°Π·ΠΎΠ²ΡΡ
ΡΠΌΠΎΡΠΈΠΉ ΠΈ Π½Π΅ΠΉΡΡΠ°Π»ΡΠ½ΠΎΠ΅ Π»ΠΈΡΠΎ), ΠΊΠΎΠ½ΡΠ΅ΠΊΡΡ, Π²ΡΠ΅ΠΌΡ ΡΠΊΡΠΏΠΎΠ·ΠΈΡΠΈΠΈ Π»ΠΈΡΠ° (50, 100 Π»ΠΈΠ±ΠΎ 200 ΠΌΡ) ΠΈ ΡΡΠ΅ΠΏΠ΅Π½Ρ Π΅Π³ΠΎ ΡΠ°ΡΡΠΎΠΊΡΡΠΈΡΠΎΠ²Π°Π½Π½ΠΎΡΡΠΈ (ΡΠ΅ΡΠΊΠΈΠ΅ Π»ΠΈΠ±ΠΎ ΡΠ°Π·ΠΌΡΡΡΠ΅ ΠΈΠ·ΠΎΠ±ΡΠ°ΠΆΠ΅Π½ΠΈΡ). Π‘ΠΎΠ΄Π΅ΡΠΆΠ°Π½ΠΈΠ΅ ΠΊΠΎΠ½ΡΠ΅ΠΊΡΡΠ° ΠΎΠΏΡΠ΅Π΄Π΅Π»ΡΠ»ΠΎΡΡ ΡΠΈΠΏΠΎΠΌ ΡΡΠΈΠΌΡΠ»ΡΠ½ΠΎΠΉ ΡΠΈΡΡΠ°ΡΠΈΠΈ: ΡΡΡΠΎΠ±ΠΎΡΠΊΠΎΠΏΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΠΊΡΠΏΠΎΠ·ΠΈΡΠΈΠ΅ΠΉ ΡΠΊΡΠΏΡΠ΅ΡΡΠΈΠΉ Π½Π° ΡΠΎΠ½Π΅ Π½Π΅ΠΉΡΡΠ°Π»ΡΠ½ΠΎΠ³ΠΎ Π»ΠΈΡΠ° Π»ΠΈΠ±ΠΎ ΠΈΡ
ΠΏΡΡΠΌΠΎΠΉ ΠΈ ΠΎΠ±ΡΠ°ΡΠ½ΠΎΠΉ Π·ΡΠΈΡΠ΅Π»ΡΠ½ΠΎΠΉ ΠΌΠ°ΡΠΊΠΈΡΠΎΠ²ΠΊΠΎΠΉ ΡΠ°Π½Π΄ΠΎΠΌΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Π½ΡΠΌ ΠΏΠ°ΡΡΠ΅ΡΠ½ΠΎΠΌ. Π Π°ΡΡΠΎΠΊΡΡΠΈΡΠΎΠ²Π°Π½Π½ΠΎΡΡΡ ΠΎΠ±Π΅ΡΠΏΠ΅ΡΠΈΠ²Π°Π»Π°ΡΡ ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ΠΌ ΡΠΈΠ»ΡΡΡΠ° ΠΠ°ΡΡΡΠ° ΡΠΎ Π·Π½Π°ΡΠ΅Π½ΠΈΡΠΌΠΈ 20, 40 Π»ΠΈΠ±ΠΎ 60 ΠΏΠΈΠΊΡΠ΅Π»Π΅ΠΉ. ΠΠ°Π½Π½ΡΠ΅ Π°Π½Π°Π»ΠΈΠ·ΠΈΡΠΎΠ²Π°Π»ΠΈΡΡ ΠΌΠ΅ΡΠΎΠ΄ΠΎΠΌ Π»ΠΎΠ³ΠΈΡΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΠ΅Π³ΡΠ΅ΡΡΠΈΠΈ ΡΠΎ ΡΠΌΠ΅ΡΠ°Π½Π½ΡΠΌΠΈ ΡΡΡΠ΅ΠΊΡΠ°ΠΌΠΈ; ΡΠ°ΡΡΠΎΡΡ Π²Π΅ΡΠ½ΡΡ
ΠΎΡΠ²Π΅ΡΠΎΠ² Π² ΡΠΊΡΠΏΠ΅ΡΠΈΠΌΠ΅Π½ΡΠ°Π»ΡΠ½ΡΡ
ΡΡΠ»ΠΎΠ²ΠΈΡΡ
ΡΠΎΠΏΠΎΡΡΠ°Π²Π»ΡΠ»ΠΈΡΡ Ρ ΠΏΠΎΠΌΠΎΡΡΡ Π»ΠΈΠ½Π΅ΠΉΠ½ΡΡ
ΠΊΠΎΠ½ΡΡΠ°ΡΡΠΎΠ².
ΠΠ±Π½Π°ΡΡΠΆΠ΅Π½ΠΎ, ΡΡΠΎ Π² ΡΡΠ»ΠΎΠ²ΠΈΡΡ
ΡΡΡΠΎΠ±ΠΎΡΠΊΠΎΠΏΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΠΊΡΠΏΠΎΠ·ΠΈΡΠΈΠΈ Π²ΠΎΠ·Π½ΠΈΠΊΠ½ΠΎΠ²Π΅Π½ΠΈΠ΅ ΠΊΠ°ΠΆΡΡΠ΅Π³ΠΎΡΡ Π΄Π²ΠΈΠΆΠ΅Π½ΠΈΡ ΠΎΠ±Π΅ΡΠΏΠ΅ΡΠΈΠ²Π°Π΅Ρ ΡΠΎΡ
ΡΠ°Π½Π΅Π½ΠΈΠ΅ ΡΠΎΡΠ½ΠΎΡΡΠΈ ΡΠ°ΡΠΏΠΎΠ·Π½Π°Π²Π°Π½ΠΈΡ Π±Π°Π·ΠΎΠ²ΡΡ
ΡΠΌΠΎΡΠΈΠΉ Π΄Π°ΠΆΠ΅ Π² Π½Π°ΠΈΠΌΠ΅Π½Π΅Π΅ Π±Π»Π°Π³ΠΎΠΏΡΠΈΡΡΠ½ΡΡ
ΡΡΠ»ΠΎΠ²ΠΈΡΡ
Π²ΠΎΡΠΏΡΠΈΡΡΠΈΡ (ΠΏΡΠΈ ΠΌΠΈΠ½ΠΈΠΌΠ°Π»ΡΠ½ΠΎΠΌ Π²ΡΠ΅ΠΌΠ΅Π½ΠΈ ΡΠΊΡΠΏΠΎΠ·ΠΈΡΠΈΠΈ ΠΈ ΠΌΠ°ΠΊΡΠΈΠΌΠ°Π»ΡΠ½ΠΎΠΉ ΡΠ°ΡΡΠΎΠΊΡΡΠΈΡΠΎΠ²Π°Π½Π½ΠΎΡΡΠΈ ΠΈΠ·ΠΎΠ±ΡΠ°ΠΆΠ΅Π½ΠΈΡ). ΠΠ»Ρ ΡΠ΅ΡΠΊΠΈΡ
Π»ΠΈΠ±ΠΎ ΡΠ»Π°Π±ΠΎ ΡΠ°ΡΡΠΎΠΊΡΡΠΈΡΠΎΠ²Π°Π½Π½ΡΡ
ΠΈΠ·ΠΎΠ±ΡΠ°ΠΆΠ΅Π½ΠΈΠΉ ΡΠΎΡΠ½ΠΎΡΡΡ ΠΎΡΠ΅Π½ΠΎΠΊ ΠΏΡΠΈ ΠΌΠ°ΡΠΊΠΈΡΠΎΠ²ΠΊΠ΅ ΠΈ ΡΡΡΠΎΠ±ΠΎΡΠΊΠΎΠΏΠΈΡΠ΅ΡΠΊΠΎΠΌ ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΠΈ ΡΠΊΡΠΏΡΠ΅ΡΡΠΈΠΈ ΡΠΎΠ²ΠΏΠ°Π΄Π°Π΅Ρ. ΠΡΠΈ ΡΡ
ΡΠ΄ΡΠ΅Π½ΠΈΠΈ ΡΡΠ»ΠΎΠ²ΠΈΠΉ Π²ΠΎΡΠΏΡΠΈΡΡΠΈΡ ΠΌΠ°ΡΠΊΠΈΡΠΎΠ²ΠΊΠ° ΠΏΡΠΈΠ²ΠΎΠ΄ΠΈΡ ΠΊ ΡΡΡΠ΅ΡΡΠ²Π΅Π½Π½ΠΎΠΌΡ ΡΠ½ΠΈΠΆΠ΅Π½ΠΈΡ ΡΠΎΡΠ½ΠΎΡΡΠΈ ΠΎΡΠ΅Π½ΠΎΠΊ ΡΠΌΠΎΡΠΈΠΉ. ΠΠΎΠ·Π΄Π΅ΠΉΡΡΠ²ΠΈΠ΅ ΠΌΠ°ΡΠΊΠΈΡΠΎΠ²ΠΊΠΈ ΡΠΈΠ»ΡΠ½Π΅Π΅ ΠΏΡΠΎΡΠ²Π»ΡΠ΅ΡΡΡ ΠΏΡΠΈ ΠΎΡΠ΅Π½ΠΊΠ΅ Π½ΠΈΠ·ΠΊΠΎΠ°ΡΡΡΠ°ΠΊΡΠΈΠ²Π½ΡΡ
ΡΠΌΠΎΡΠΈΠΉ (ΠΎΡΠ²ΡΠ°ΡΠ΅Π½ΠΈΡ, ΡΡΡΠ°Ρ
Π°, ΠΏΠ΅ΡΠ°Π»ΠΈ ΠΈ Π³Π½Π΅Π²Π°), ΡΠΎΠ³Π΄Π° ΠΊΠ°ΠΊ Π²ΡΡΠΎΠΊΠΎΠ°ΡΡΡΠ°ΠΊΡΠΈΠ²Π½ΡΠ΅ ΡΠΌΠΎΡΠΈΠΈ (ΡΠ°Π΄ΠΎΡΡΡ, ΡΠ΄ΠΈΠ²Π»Π΅Π½ΠΈΠ΅, ΡΠΏΠΎΠΊΠΎΠΉΠ½ΠΎΠ΅ ΡΠΎΡΡΠΎΡΠ½ΠΈΠ΅) Π²ΠΎ Π²ΡΠ΅Ρ
ΡΡΠΈΠΌΡΠ»ΡΠ½ΡΡ
ΡΠΈΡΡΠ°ΡΠΈΡΡ
ΠΎΡΠ΅Π½ΠΈΠ²Π°ΡΡΡΡ Π½Π°ΠΈΠ±ΠΎΠ»Π΅Π΅ Π°Π΄Π΅ΠΊΠ²Π°ΡΠ½ΠΎ. ΠΠΎΠ»ΡΡΠ΅Π½Π½ΡΠΉ ΡΡΡΠ΅ΠΊΡ ΡΡΡΠΎΠ±ΠΎΡΠΊΠΎΠΏΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΠ΅Π½ΡΠΈΠ±ΠΈΠ»ΠΈΠ·Π°ΡΠΈΠΈ ΡΠΊΠ°Π·ΡΠ²Π°Π΅Ρ Π½Π° ΡΡ
ΠΎΠ΄ΡΡΠ²ΠΎ Π²Π»ΠΈΡΠ½ΠΈΠΉ ΡΠ΅Π°Π»ΡΠ½ΠΎΠ³ΠΎ ΠΈ ΠΊΠ°ΠΆΡΡΠ΅Π³ΠΎΡΡ Π΄Π²ΠΈΠΆΠ΅Π½ΠΈΡ Π½Π° ΠΎΡΠ΅Π½ΠΊΡ ΡΠΌΠΎΡΠΈΠΎΠ½Π°Π»ΡΠ½ΡΡ
ΡΠΎΡΡΠΎΡΠ½ΠΈΠΉ
Tensor computations in computer algebra systems
This paper considers three types of tensor computations. On their basis, we attempt to formulate criteria that must be satisfied by a computer algebra system dealing with tensors. We briefly overview the current state of tensor computations in different computer algebra systems. The tensor computations are illustrated with appropriate examples implemented in specific systems: Cadabra and Maxima. Β© 2013 Pleiades Publishing, Ltd
CLINICAL AND IMMUNOLOGICAL EFFICACY OF INOSINE PRANOBEX FOR ACUTE RESPIRATORY INFECTIONS IN CHILDREN WITH ATOPIC ASTHMA
The prevalence rate of atopic asthma in children remains high. One of the reasons for lack of control over asthma symptoms is repeated infection. The article describes results from the study of immunomodulating medication inosine pranobex used in treatment of acute respiratory infections in children with atopic asthma. The results obtained prove the efficacy and safety of this medication. The use of this immunomodifier with antiviral activity during the period of acute respiratory infection in children with atopic asthma contributes to shortening of intoxication and catarrhal signs duration, elimination of viral agents. Key words: asthma, acute respiratory infections, immunomodifiers, inosine pranobex, children. (Pediatric Pharmacology. β 2010; 7(3):98-105
CLINICAL AND IMMUNOLOGICAL EFFICACY OF INOSINE PRANOBEX FOR ACUTE RESPIRATORY INFECTIONS IN CHILDREN WITH ATOPIC ASTHMA
The prevalence rate of atopic asthma in children remains high. One of the reasons for lack of control over asthma symptoms is repeated infection. The article describes results from the study of immunomodulating medication inosine pranobex used in treatment of acute respiratory infections in children with atopic asthma. The results obtained prove the efficacy and safety of this medication. The use of this immunomodifier with antiviral activity during the period of acute respiratory infection in children with atopic asthma contributes to shortening of intoxication and catarrhal signs duration, elimination of viral agents. Key words: asthma, acute respiratory infections, immunomodifiers, inosine pranobex, children. (Pediatric Pharmacology. β 2010; 7(3):98-105
Low temperature strength and failure of Co_6_0Fe_5Ni_1_0Si_1_0B_1_5 amorphous metallic alloy
22.00; Translated from Czech. (Kovove Mater. 1990 v. 28(1) p. 86-93)Available from British Library Document Supply Centre- DSC:9023.19(VR-Trans--4649)T / BLDSC - British Library Document Supply CentreSIGLEGBUnited Kingdo