283 research outputs found
Cortical plasticity elicited by acoustically cued monetary losses: An ERP study
Both human and animal studies have demonstrated remarkable findings of experience-induced plasticity in the cortex. Here, we investigated whether the widely used monetary incentive delay (MID) task changes the neural processing of incentive cues that code expected monetary outcomes. We used a novel auditory version of the MID task, where participants responded to acoustic cues that coded expected monetary losses. To investigate task-induced brain plasticity, we presented incentive cues as deviants during passive oddball tasks before and after two sessions of the MID task. During the oddball task, we recorded the mismatch-related negativity (MMN) as an index of cortical plasticity. We found that two sessions of the MID task evoked a significant enhancement of MMN for incentive cues that predicted large monetary losses, specifically when monetary cue discrimination was essential for maximising monetary outcomes. The task-induced plasticity correlated with the learning-related neural activity recorded during the MID task. Thus, our results confirm that the processing of (loss)incentive auditory cues is dynamically modulated by previously learned monetary outcomes
Adsorptive Voltammetry of 4-chlordehydromethyltestosterone
The article presents the results of the study of the electrochemical behavior of the anabolic steroid 4-chlordehydromethyltestosterone. The studies detected operating conditions for the voltammetric determination of anabolic glassy carbon electrode. The influence of such factors as pH, supporting electrolyte, the electrolysis and adsorption component on the analytical signal of the analyte was studied. The algorithm of sample preparation is presented and conditions for the quantitative determination of the active ingredient of the drug βTurinabolβ by voltammetry is proposed. The evaluation of the proposed method accuracy was conducted
Use of Physicochemical Method for Evaluation of Mucilage Producing Ability of the Linum Usitatissimum L. Seeds
Abstract In the modern medicine of many European countries flax is used as a medicament with a wide range of use. Wholesome effect of flax seeds is determined by the large amount of enveloping substances. This property is connected with content of mucilage up to 10% and glycoside linamarin. Flaxseed polysaccharides also possess antiinflammatory effect. Furthermore, mucilage production can be a chemosystematic characteric of intraspecific taxons. In literature intervarietal variability data is limited. Therefore, comparative evaluation of mucilage producing ability of flax seeds with different morphotypes is of interest. The research of micromorphological characteristics of seed coat and mucilage production dynamics was carried out and it was established that mucilage-producing cells are localized predominantly in the external layer of seed coat. It was established that Bahmalskiy, Nebesnyj, Kustanayskiy yantar varieties possess the highest level of mucilage production. Morphotype and varietal specificity of mucilage production are determined, consequently it can be used as a marker feature of L. usitatissimum new forms. The proposed technique is based on the determination of seed physicochemical characteristics and can be used for express analysis of the vegetal samples and their differentiation by the directions of use: as a fatty oil or mucilage-containing raw material.
Keywords: Linum usitatissimum L. varieties, seeds, mucilage production, hydration dynamics, physicochemical method
Nephelometric Method for Determination of Growth Parameters of Chlorella Culture
Nephelometric method for the determination of growth parameters of chlorella culture using a photoelectric colorimeter was described. Use of photoelectric colorimeter for cell counting in suspension requires periodic calibration of meter readings using chlorella standard culture (with a certain cell concentration). Chlorella vulgaris IPPAS Π‘-66, IPPAS Π‘-111 and IPPAS Π‘-2019 strains served as object of research. Density of initial in vitro suspensions (after inoculation) was 0.9 mln cells/ml. Cultivation was carried out during 12 days on a Hoagland medium with a pH of 7 (temperature of 35βC, illumination of 10 klx). Sample selection for analysis and measurement was carried out daily, three times per day. Based on the obtained data, readings of photoelectric colorimeter KFK-3.01 were calibrated via direct count of chlorella cells quantity in Goryaevβs chamber. Use of calibration curve made it possible to reduce significantly time and error in determination of cell number in suspension cultures. The proposed technique allows counting chlorella cells in the growth and development dynamics with sufficient accuracy, high sensitivity, reproducibility and speed. It can be used for comparative determination of the growth parameters of strains in vitro, standardization of suspension cultures, semi-quantitative determination of chlorella biomass in order to predict the yield of desired product
Economic concept of food development of Russian market
At present, the Russian economy is developing in the conditions of imposed sanctions on high-tech means of production by foreign countries.
In this situation, the development vector is the formation of import substitution policies and the solution of food safety issues for various types of food products that are strategically important for human life.
Meeting the needs of the country's population with its own production is a priority for the development of the agrarian market, which makes it possible to develop the production agrarian sector, the processing and trade sphere, to create additional jobs, thereby improving the quality and standard of living of people.peer-reviewe
Cognitive conceptualization and categorization of time definition in english, french and russian linguistics
The article is devoted to the description of linguocognitive categorization and conceptualization of time by the material of English, French and Russian languages. The process of categorization is aimed at combining similar or identical units into larger categories, and the process of conceptualization is aimed at highlighting the minimum meaningful units of human experience. The multilevel structure of the concept of TIME, due to the complementary nature of the analyzed category, is also considere
Influence of Infrastructure on Population Distribution and Socio-Economic Development of Russian Regions
ΠΡΡΠΎΠΊΠΈΠΉ ΡΡΠΎΠ²Π΅Π½Ρ Π΄ΠΈΠ²Π΅ΡΠ³Π΅Π½ΡΠΈΠΈ Π² Π΄Π΅ΠΌΠΎΠ³ΡΠ°ΡΠΈΡΠ΅ΡΠΊΠΎΠΌ ΠΈ ΡΠΎΡΠΈΠ°Π»ΡΠ½ΠΎ-ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΎΠΌ ΡΠ°Π·Π²ΠΈΡΠΈΠΈ ΡΠ²Π»ΡΠ΅ΡΡΡ Π·Π½Π°ΡΠΈΠΌΡΠΌ Π±Π°ΡΡΠ΅ΡΠΎΠΌ ΠΎΠ±Π΅ΡΠΏΠ΅ΡΠ΅Π½ΠΈΡ ΡΡΡΠΎΠΉΡΠΈΠ²ΠΎΠ³ΠΎ ΡΠΎΡΡΠ° ΡΠΎΡΡΠΈΠΉΡΠΊΠΎΠΉ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΊΠΈ. ΠΠ°Π½Π½Π°Ρ ΡΡΠ°ΡΡΡ ΠΏΠΎΡΠ²ΡΡΠ΅Π½Π° Π°Π½Π°Π»ΠΈΠ·Ρ Π²Π»ΠΈΡΠ½ΠΈΡ ΡΡΠΎΠ²Π½Ρ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΠΈΠ½ΡΡΠ°ΡΡΡΡΠΊΡΡΡΡ Π½Π° ΠΎΡΠΎΠ±Π΅Π½Π½ΠΎΡΡΠΈ ΡΠ°Π·ΠΌΠ΅ΡΠ΅Π½ΠΈΡ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ ΠΈ ΡΠ΅Π³ΠΈΠΎΠ½Π°Π»ΡΠ½ΠΎΠ³ΠΎ ΡΠ°Π·Π²ΠΈΡΠΈΡ Π ΠΎΡΡΠΈΠΈ. ΠΡΠ½ΠΎΠ²Π½ΠΎΠΉ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°ΡΠ΅Π»ΡΡΠΊΠΎΠΉ Π·Π°Π΄Π°ΡΠ΅ΠΉ ΡΠ²Π»ΡΠ»ΠΎΡΡ ΠΈΠ·ΡΡΠ΅Π½ΠΈΠ΅ ΡΠ΅ΠΎΡΠ΅ΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΈ ΠΏΡΠ°ΠΊΡΠΈΡΠ΅ΡΠΊΠΈΡ
Π²ΠΎΠΏΡΠΎΡΠΎΠ², ΡΠ²ΡΠ·Π°Π½Π½ΡΡ
Ρ Π²ΡΡΠ²Π»Π΅Π½ΠΈΠ΅ΠΌ ΠΎΡΠΎΠ±Π΅Π½Π½ΠΎΡΡΠ΅ΠΉ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΠΈΠ½ΡΡΠ°ΡΡΡΡΠΊΡΡΡΡ ΠΊΠ°ΠΊ ΡΠ°ΠΊΡΠΎΡΠ° ΡΠ°ΡΡΠ΅Π»Π΅Π½ΠΈΡ ΠΈ ΡΠΎΡΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΡΠΈΡΠ»Π΅Π½Π½ΠΎΡΡΠΈ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ ΡΠ΅Π³ΠΈΠΎΠ½ΠΎΠ² ΡΡΡΠ°Π½Ρ Ρ ΡΡΠ΅ΡΠΎΠΌ ΠΈΡ
ΠΌΠΈΠ³ΡΠ°ΡΠΈΠΎΠ½Π½ΠΎΠΉ ΠΏΡΠΈΠ²Π»Π΅ΠΊΠ°ΡΠ΅Π»ΡΠ½ΠΎΡΡΠΈ. ΠΠ°Π·ΠΎΠ²ΡΠΌ ΠΌΠ΅ΡΠΎΠ΄ΠΎΠΌ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΡΠ²Π»ΡΠ΅ΡΡΡ ΠΏΠΎΠΈΡΠΊ ΠΊΠΎΡΡΠ΅Π»ΡΡΠΈΠΈ ΠΌΠ΅ΠΆΠ΄Ρ ΡΡΠΎΠ²Π½Π΅ΠΌ ΠΈΠ½ΡΡΠ°ΡΡΡΡΠΊΡΡΡΠ½ΠΎΠ³ΠΎ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΡΠ΅Π³ΠΈΠΎΠ½Π° ΠΈ ΠΎΡΠΎΠ±Π΅Π½Π½ΠΎΡΡΡΠΌΠΈ ΡΠ°Π·ΠΌΠ΅ΡΠ΅Π½ΠΈΡ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ, Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΠ·ΡΡΡΠΈΠΌΠΈΡΡ Π΅Π³ΠΎ ΠΏΠ»ΠΎΡΠ½ΠΎΡΡΡΡ ΠΈ ΠΌΠΈΠ³ΡΠ°ΡΠΈΠΎΠ½Π½ΡΠΌ ΠΏΡΠΈΡΠΎΡΡΠΎΠΌ. ΠΠΎΡΡΠ΅Π»ΡΡΠΈΡ ΡΠΊΠ°Π·Π°Π½Π½ΡΡ
ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»Π΅ΠΉ ΡΠ°Π·ΠΌΠ΅ΡΠ΅Π½ΠΈΡ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ ΡΠ°ΡΡΡΠΈΡΡΠ²Π°Π»Π°ΡΡ Ρ ΠΈΠ½Π΄Π΅ΠΊΡΠ°ΠΌΠΈ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΡΡΠ°Π½ΡΠΏΠΎΡΡΠ½ΠΎΠΉ, ΡΠ½Π΅ΡΠ³Π΅ΡΠΈΡΠ΅ΡΠΊΠΎΠΉ, ΡΠΎΡΠΈΠ°Π»ΡΠ½ΠΎΠΉ, ΠΊΠΎΠΌΠΌΡΠ½Π°Π»ΡΠ½ΠΎΠΉ ΠΈ ΡΠ΅Π»Π΅ΠΊΠΎΠΌΠΌΡΠ½ΠΈΠΊΠ°ΡΠΈΠΎΠ½Π½ΠΎΠΉ ΠΈΠ½ΡΡΠ°ΡΡΡΡΠΊΡΡΡΡ. ΠΠ»Ρ ΡΡΠΈΡ
ΠΆΠ΅ ΠΈΠ½Π΄Π΅ΠΊΡΠΎΠ² ΡΠ°Π·Π²ΠΈΡΠΈΡ ΠΈΠ½ΡΡΠ°ΡΡΡΡΠΊΡΡΡΡ Π±ΡΠ»Π° ΡΠ°ΡΡΡΠΈΡΠ°Π½Π° ΠΊΠΎΡΡΠ΅Π»ΡΡΠΈΡ Ρ Π²Π°Π»ΠΎΠ²ΡΠΌ ΡΠ΅Π³ΠΈΠΎΠ½Π°Π»ΡΠ½ΡΠΌ ΠΏΡΠΎΠ΄ΡΠΊΡΠΎΠΌ. Π ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠ΅ ΠΊΠΎΡΡΠ΅Π»ΡΡΠΈΠΎΠ½Π½ΡΠΉ Π°Π½Π°Π»ΠΈΠ· ΠΏΠΎΠΊΠ°Π·Π°Π», ΡΡΠΎ ΡΡΡΠ΅ΡΡΠ²ΡΠ΅Ρ ΡΠ»Π°Π±Π°Ρ ΠΏΡΡΠΌΠ°Ρ Π·Π°Π²ΠΈΡΠΈΠΌΠΎΡΡΡ ΠΌΠ΅ΠΆΠ΄Ρ ΠΏΠ»ΠΎΡΠ½ΠΎΡΡΡΡ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ ΡΠ΅Π³ΠΈΠΎΠ½Π°, Π²Π΅Π»ΠΈΡΠΈΠ½ΠΎΠΉ Π΅Π³ΠΎ ΠΌΠΈΠ³ΡΠ°ΡΠΈΠΎΠ½Π½ΠΎΠ³ΠΎ ΠΏΡΠΈΡΠΎΡΡΠ° ΠΈ Π²ΡΠ΅ΠΌΠΈ ΠΈΠ½Π΄Π΅ΠΊΡΠ°ΠΌΠΈ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΠΈΠ½ΡΡΠ°ΡΡΡΡΠΊΡΡΡΡ, ΠΊΡΠΎΠΌΠ΅ ΡΠΎΡΠΈΠ°Π»ΡΠ½ΠΎΠ³ΠΎ. ΠΠ°ΠΈΠ±ΠΎΠ»Π΅Π΅ ΡΠΈΠ»ΡΠ½Π°Ρ ΠΏΡΡΠΌΠ°Ρ Π·Π°Π²ΠΈΡΠΈΠΌΠΎΡΡΡ Π½Π°Π±Π»ΡΠ΄Π°Π΅ΡΡΡ ΠΌΠ΅ΠΆΠ΄Ρ ΠΏΠ»ΠΎΡΠ½ΠΎΡΡΡΡ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ ΡΠ΅Π³ΠΈΠΎΠ½ΠΎΠ² ΠΈ ΠΈΠ½Π΄Π΅ΠΊΡΠΎΠΌ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΡΡΠ°Π½ΡΠΏΠΎΡΡΠ½ΠΎΠΉ ΠΈΠ½ΡΡΠ°ΡΡΡΡΠΊΡΡΡΡ. Π₯ΠΎΡΠΎΡΠ°Ρ ΡΡΠ°Π½ΡΠΏΠΎΡΡΠ½Π°Ρ Π΄ΠΎΡΡΡΠΏΠ½ΠΎΡΡΡ ΠΎΠ±Π»Π΅Π³ΡΠ°Π΅Ρ Π΄ΠΎΡΡΡΠΏ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ ΠΊ Π΄ΡΡΠ³ΠΈΠΌ Π²ΠΈΠ΄Π°ΠΌ ΠΈΠ½ΡΡΠ°ΡΡΡΡΠΊΡΡΡΡ, ΠΏΠΎΠ²ΡΡΠ°Ρ ΡΡΠΎΠ²Π΅Π½Ρ ΡΠ²ΡΠ·Π°Π½Π½ΠΎΡΡΠΈ ΡΠ΅ΡΡΠΈΡΠΎΡΠΈΠΉ ΠΈ ΠΈΡ
Π΄Π΅ΠΌΠΎΠ³ΡΠ°ΡΠΈΡΠ΅ΡΠΊΠΈΠΉ ΠΏΠΎΡΠ΅Π½ΡΠΈΠ°Π». ΠΠ½Π°ΡΠΈΠΌΠΎΡΡΡ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΠΈΠ½ΡΡΠ°ΡΡΡΡΠΊΡΡΡΡ ΠΏΡΠΎΡΠ²Π»ΡΠ΅ΡΡΡ Π² ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»ΡΡ
ΡΠ°Π·Π²ΠΈΡΠΈΡ ΡΠ΅Π³ΠΈΠΎΠ½ΠΎΠ² Π½Π΅ ΠΌΠ΅Π½Π΅Π΅ ΡΡΠΊΠΎ, ΡΠ΅ΠΌ Π² ΡΠΎΡΠΈΠ°Π»ΡΠ½ΡΡ
. ΠΡΠΎ ΠΏΠΎΠΊΠ°Π·ΡΠ²Π°Π΅Ρ ΠΊΠΎΡΡΠ΅Π»ΡΡΠΈΡ ΠΌΠ΅ΠΆΠ΄Ρ Π²Π°Π»ΠΎΠ²ΡΠΌ ΡΠ΅Π³ΠΈΠΎΠ½Π°Π»ΡΠ½ΡΠΌ ΠΏΡΠΎΠ΄ΡΠΊΡΠΎΠΌ ΠΈ ΡΡΠΎΠ²Π½Π΅ΠΌ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΡΡΠ°Π½ΡΠΏΠΎΡΡΠ½ΠΎΠΉ, ΡΠ΅Π»Π΅ΠΊΠΎΠΌΠΌΡΠ½ΠΈΠΊΠ°ΡΠΈΠΎΠ½Π½ΠΎΠΉ ΠΈ ΡΠ½Π΅ΡΠ³Π΅ΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΈΠ½ΡΡΠ°ΡΡΡΡΠΊΡΡΡΡ. Π’Π°ΠΊΠΈΠΌ ΠΎΠ±ΡΠ°Π·ΠΎΠΌ, ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΈΠΉ Π°Π½Π°Π»ΠΈΠ· ΠΏΠΎΠ΄ΡΠ²Π΅ΡΠ΄ΠΈΠ» Π½Π°Π»ΠΈΡΠΈΠ΅ Π²Π·Π°ΠΈΠΌΠΎΡΠ²ΡΠ·ΠΈ ΠΌΠ΅ΠΆΠ΄Ρ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»ΡΠΌΠΈ ΠΈΠ½ΡΡΠ°ΡΡΡΡΠΊΡΡΡΠ½ΠΎΠ³ΠΎ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΠΈ ΡΠ°ΡΡΠ΅Π»Π΅Π½ΠΈΠ΅ΠΌ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΡ, Ρ
ΠΎΡΡ ΠΈ Π½Π΅ ΡΠ°ΠΊ ΡΠ²Π½ΠΎ, ΡΡΠΎ Π΄ΠΎΠΊΠ°Π·ΡΠ²Π°Π΅Ρ Π½Π°Π»ΠΈΡΠΈΠ΅ ΠΊΠΎΠΌΠΏΠ»Π΅ΠΊΡΠ° ΡΠ°ΠΊΡΠΎΡΠΎΠ², ΡΡΠ΅Π΄ΠΈ ΠΊΠΎΡΠΎΡΡΡ
ΠΈΠ½ΡΡΠ°ΡΡΡΡΠΊΡΡΡΠ½ΡΠΉ Π½Π΅ ΡΠ²Π»ΡΠ΅ΡΡΡ ΠΏΠ΅ΡΠ²ΠΈΡΠ½ΡΠΌ. Π’Π΅ΠΌ Π½Π΅ ΠΌΠ΅Π½Π΅Π΅, ΠΈΠΌΠ΅Π½Π½ΠΎ ΡΠ½ΡΡΠΈΠ΅ ΠΈΠ½ΡΡΠ°ΡΡΡΡΠΊΡΡΡΠ½ΡΡ
ΠΎΠ³ΡΠ°Π½ΠΈΡΠ΅Π½ΠΈΠΉ ΠΈ ΠΏΠΎΠ²ΡΡΠ΅Π½ΠΈΠ΅ ΠΊΠ°ΡΠ΅ΡΡΠ²Π° ΠΈ Π΄ΠΎΡΡΡΠΏΠ½ΠΎΡΡΠΈ ΠΎΡΠ½ΠΎΠ²Π½ΡΡ
Π²ΠΈΠ΄ΠΎΠ² ΠΈΠ½ΡΡΠ°ΡΡΡΡΠΊΡΡΡΡ Π±ΡΠ΄Π΅Ρ ΡΠΏΠΎΡΠΎΠ±ΡΡΠ²ΠΎΠ²Π°ΡΡ ΠΏΡΠ΅ΠΎΠ΄ΠΎΠ»Π΅Π½ΠΈΡ ΠΊΠ°ΠΊ Π΄Π΅ΠΌΠΎΠ³ΡΠ°ΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ, ΡΠ°ΠΊ ΠΈ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΡΠΆΠ°ΡΠΈΡ ΠΏΡΠΎΡΡΡΠ°Π½ΡΡΠ²Π° Π ΠΎΡΡΠΈΠΈ.High divergence of demographic and socio-economic development significantly hinders the sustainable growth of the Russian economy. This article analyses the influence of infrastructure on population distribution and development of Russian regions. The study focuses on theoretical and practical issues related to identifying the features of infrastructure development as a factor of settlement and formation of population, considering the migration attractiveness of Russian regions. The research aimed to reveal a correlation between the regional infrastructure development and population distribution characterised by its density and net migration. To this end, we calculated the correlation between these indicators of population distribution and development indices of transport, energy, social, communal and telecommunications infrastructure. Additionally, the correlation between gross regional product and the same infrastructure development indices was estimated. The correlation analysis revealed the presence of a weak positive relationship between the regional population density, net migration, and all infrastructure development indices, except for social one. The strongest positive relationship is observed between the regional population density and the transport infrastructure development index. Good transport accessibility gives people easier access to other types of infrastructure and consequently increases the spatial connectivity and demographic potential of certain areas. Infrastructure development greatly influences not only social indicators of regional development but also economic ones, as shown by the correlation between gross regional product and development indices of transport, telecommunications and energy infrastructure. Thus, according to the conducted statistical analysis, the existing but weak relationship between infrastructure development indices and population distribution confirms the presence of a set of factors, where infrastructure is not the main one. Nevertheless, the removal of infrastructure constraints and an increase in the infrastructure quality and availability will help overcome both the demographic and economic contraction of Russia
- β¦